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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell Dev. Biol.</journal-id>
<journal-title>Frontiers in Cell and Developmental Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell Dev. Biol.</abbrev-journal-title>
<issn pub-type="epub">2296-634X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">846864</article-id>
<article-id pub-id-type="doi">10.3389/fcell.2022.846864</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cell and Developmental Biology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Evolving Insights Into the Biological Function and Clinical Significance of Long Noncoding RNA in Glioblastoma</article-title>
<alt-title alt-title-type="left-running-head">Liu et al.</alt-title>
<alt-title alt-title-type="right-running-head">Function of LncRNA in Glioblastoma</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Kun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Hong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Yuanyuan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jiang</surname>
<given-names>Liping</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1372815/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Pathology</institution>, <institution>Northwestern University Feinberg School of Medicine</institution>, <addr-line>Chicago</addr-line>, <addr-line>IL</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Oncology</institution>, <institution>920th Hospital of Joint Logistics Support Force</institution>, <institution>Teaching Hospital of Kunming Medical University</institution>, <addr-line>Kunming</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Pathology</institution>, <institution>920th Hospital of Joint Logistics Support Force</institution>, <institution>Teaching Hospital of Kunming Medical University</institution>, <addr-line>Kunming</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences and Yunnan Province</institution>, <institution>Kunming Institute of Zoology</institution>, <addr-line>Kunming</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Biochemistry and Molecular Genetics</institution>, <institution>University of Illinois at Chicago</institution>, <addr-line>Chicago</addr-line>, <addr-line>IL</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/571750/overview">Peixin Dong</ext-link>, Hokkaido University, Japan</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1449848/overview">Arjun Singh</ext-link>, Memorial Sloan Kettering Cancer Center, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/476407/overview">Zhijie Xu</ext-link>, Central South University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1490347/overview">Ting Zhang</ext-link>, First Affiliated Hospital of Chengdu Medical College, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Yi Li, <email>liyi6@kmmu.edu.cn</email>; Liping Jiang, <email>jiangliping@mail.kiz.ac.cn</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Cancer Cell Biology, a section of the journal Frontiers in Cell and Developmental Biology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>846864</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Liu, Chen, Wang, Jiang and Li.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Liu, Chen, Wang, Jiang and Li</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Glioblastoma (GBM) is one of the most prevalent and aggressive cancers worldwide. The overall survival period of GBM patients is only 15&#xa0;months even with standard combination therapy. The absence of validated biomarkers for early diagnosis mainly accounts for worse clinical outcomes of GBM patients. Thus, there is an urgent requirement to characterize more biomarkers for the early diagnosis of GBM patients. In addition, the detailed molecular basis during GBM pathogenesis and oncogenesis is not fully understood, highlighting that it is of great significance to elucidate the molecular mechanisms of GBM initiation and development. Recently, accumulated pieces of evidence have revealed the central roles of long noncoding RNAs (lncRNAs) in the tumorigenesis and progression of GBM by binding with DNA, RNA, or protein. Targeting those oncogenic lncRNAs in GBM may be promising to develop more effective therapeutics. Furthermore, a better understanding of the biological function and underlying molecular basis of dysregulated lncRNAs in GBM initiation and development will offer new insights into GBM early diagnosis and develop novel treatments for GBM patients. Herein, this review builds on previous studies to summarize the dysregulated lncRNAs in GBM and their unique biological functions during GBM tumorigenesis and progression. In addition, new insights and challenges of lncRNA-based diagnostic and therapeutic potentials for GBM patients were also introduced.</p>
</abstract>
<kwd-group>
<kwd>lncRNA</kwd>
<kwd>glioblastoma</kwd>
<kwd>diagnostic biomarker</kwd>
<kwd>prognostic biomarker</kwd>
<kwd>targeted therapy</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Glioblastoma (GBM) remains one of the most devastating and common malignancies of the central nervous system cancer in adults, and its worse prognosis has not achieved significant improvement despite the development of many new therapeutics (<xref ref-type="bibr" rid="B10">Brennan et al., 2013</xref>; <xref ref-type="bibr" rid="B36">Frattini et al., 2013</xref>). The median survival time of GBM patients remains only 15&#xa0;months. Among the developed countries, an estimated more than 3.4 GBM incidents per 100,000 people are diagnosed each year (<xref ref-type="bibr" rid="B116">Ohgaki and Kleihues, 2005</xref>). Currently, the standard treatment of GBM is surgical resection followed by radiotherapy with concurrent temozolomide (TMZ) chemotherapy or adjuvant TMZ chemotherapy. A variety of new inhibitors specifically targeting diverse oncoproteins have been revealed to potently induce GBM regression (<xref ref-type="bibr" rid="B143">Shi et al., 2018</xref>; <xref ref-type="bibr" rid="B192">Shi et al., 2019a</xref>), but none of them has been approved for clinical applications for GBM therapy. To date, TMZ is still the only one approved by the FDA for GBM chemotherapy. Therefore, it is urgent for clinics to develop more agents for GBM. In addition, the failure of clinical treatments of GBM is attributed to the heterogeneity of GBM (<xref ref-type="bibr" rid="B133">Rusu et al., 2019</xref>; <xref ref-type="bibr" rid="B64">Qin et al., 2021</xref>) because GBM exhibits a high recurrence rate and frequent resistance to conventional therapeutics owing to tumor cells frequently invading into the surrounding brain, which renders surgical resection virtually impossible (<xref ref-type="bibr" rid="B149">Stupp et al., 2009</xref>; <xref ref-type="bibr" rid="B117">Oike et al., 2013</xref>). Conventional therapies, including radiotherapy and TMZ-dependent chemotherapy, only target a portion of proliferative cancer cells without harming other cancerous cells owing to the heterogeneity of GBM, which leads to frequent GBM relapse with poor prognosis. Therefore, there is an urgent need to decipher the uniquely biological principles of the initiation and progression of GBM and develop more novel biomarkers and reliable therapeutic targets to overcome this deadly disease.</p>
<p>Over the past several decades, numerous pieces of evidence reported that noncoding RNAs (ncRNAs) play central roles in GBM tumorigenesis and progression (<xref ref-type="bibr" rid="B106">Meller et al., 2015</xref>; <xref ref-type="bibr" rid="B134">Rutenberg-Schoenberg et al., 2016</xref>; <xref ref-type="bibr" rid="B146">Slack and Chinnaiyan, 2019</xref>). It has been well-accepted that the vast majority (more than 70%) of the genome is transcribed, whereas, no more than 2% of all the transcripts with coding potential and the remaining transcripts were originally considered to be transcriptional noise (<xref ref-type="bibr" rid="B147">Stackhouse et al., 2020</xref>). To date, speculation over the biological functions of ncRNAs has switched from transcriptional noise to master epigenetic regulators, and there is an increasing sense that genetic alterations in the noncoding region are the major causes of human disease, including malignant tumors (<xref ref-type="bibr" rid="B104">Maurano et al., 2012</xref>). Based on the current knowledge, ncRNAs are classified into two main categories depending on the size of transcripts. Long noncoding RNAs (LncRNAs) are defined as transcripts larger than 200 nucleotides (nt) with limiting or without protein-coding potential, including pseudogenes, lincRNAs, and circRNAs (<xref ref-type="bibr" rid="B146">Slack and Chinnaiyan, 2019</xref>; <xref ref-type="bibr" rid="B19">Chen et al., 2020a</xref>; <xref ref-type="bibr" rid="B197">Zhan et al., 2020</xref>). Notably, lncRNAs account for approximately 80&#x2013;90% of ncRNAs. LncRNAs have attracted increasing attention for exerting fundamentally regulatory functions in various physiological and pathological processes (<xref ref-type="bibr" rid="B130">Rinn and Chang, 2012</xref>; <xref ref-type="bibr" rid="B163">Wahlestedt, 2013</xref>; <xref ref-type="bibr" rid="B191">Yin et al., 2015</xref>; <xref ref-type="bibr" rid="B136">Schmitt and Chang, 2016</xref>).</p>
<p>LncRNA was first identified in 1990 (<xref ref-type="bibr" rid="B8">Brannan et al., 1990a</xref>; <xref ref-type="bibr" rid="B38">Gabory et al., 2009</xref>). Subsequently, lncRNA XIST was identified to mediate X chromosome inactivation (<xref ref-type="bibr" rid="B142">Shi et al., 2020</xref>). At present, abundant genes have been documented to transcribe lncRNA, and this number is still increasing steadily and rapidly (<xref ref-type="bibr" rid="B197">Zhan et al., 2020</xref>). An important feature of lncRNAs is that lncRNAs are less conserved across different species and typically expressed lowly and frequently specifically expressed in a certain tissue or different developmental stages, which could be thought to be the most promising biomarkers for GBM diagnosis and prognosis (<xref ref-type="bibr" rid="B114">Gao et al., 2020a</xref>; <xref ref-type="bibr" rid="B44">Ghafouri-Fard et al., 2021</xref>). Functionally, LncRNA regulates gene expression <italic>in cis</italic> or <italic>in trans</italic> by physically interacting with different DNA, RNA, and proteins. Furthermore, with the progress of sequencing technology, the entire spectrum of lncRNAs is gradually investigated, suggesting that lncRNAs could function as not only effective indicators for the early diagnosis and determination of prognosis but also therapeutic targets for GBM. In this review, we introduced the molecular basis of lncRNA and comprehensively summarized the dysregulated lncRNAs involved in GBM tumorigenesis and development. In addition, We also introduced the clinical significance of diagnostic, prognostic, and therapeutic potential of lncRNAs in GBM.</p>
</sec>
<sec id="s2">
<title>2 Classification of lncRNA</title>
<p>LncRNAs can be further divided into five categories based on the genomic location relevant to neighboring protein-coding genes (<xref ref-type="bibr" rid="B148">St. Laurent et al., 2015</xref>; <xref ref-type="bibr" rid="B121">Peng et al., 2018a</xref>): sense lncRNAs (<xref ref-type="bibr" rid="B130">Rinn and Chang, 2012</xref>), antisense lncRNAs (<xref ref-type="bibr" rid="B100">Ma et al., 2013</xref>), bidirectional lncRNAs (<xref ref-type="bibr" rid="B147">Stackhouse et al., 2020</xref>), intronic lncRNAs (<xref ref-type="bibr" rid="B104">Maurano et al., 2012</xref>), and intergenic lncRNAs (lincRNAs) (<xref ref-type="fig" rid="F1">Figure 1A</xref>) (<xref ref-type="bibr" rid="B160">Ulitsky and Bartel, 2013</xref>). The order of nucleotide arrangement constitutes the primary structure of lncRNAs and the precise secondary and tertiary structures comprise the diversely biological functions of lncRNAs. Based on their subcellular localization (<xref ref-type="bibr" rid="B127">Quinn and Chang, 2016</xref>), lncRNAs can be further divided into nuclear or cytoplasmic lncRNAs (<xref ref-type="bibr" rid="B18">Chen, 2016</xref>). LncRNAs localized in the nucleus typically regulate gene expression <italic>in cis,</italic> including transcriptional interference or chromatin remodeling (<xref ref-type="bibr" rid="B62">Jain et al., 2016</xref>; <xref ref-type="bibr" rid="B65">Zhu et al., 2021</xref>). On the contrary, LncRNAs localized in the cytoplasm execute regulatory functions <italic>via</italic> implicating in influencing RNA processing or transport, thereby regulating mRNA degradation or directly altering protein function (<xref ref-type="bibr" rid="B85">Lin et al., 2016</xref>). Particular lncRNAs that are represented in a loop pattern, namely, circular RNAs (<xref ref-type="bibr" rid="B108">Meng et al., 2017</xref>) and circular intronic RNAs (circRNAs) (<xref ref-type="bibr" rid="B203">Zhang et al., 2013</xref>) originated from the back-splicing of exons or introns, respectively (<xref ref-type="fig" rid="F1">Figure 1B</xref>). Notably, circRNAs attracted a great deal of research interest in regulating GBM pathogenesis and oncogenesis (<xref ref-type="bibr" rid="B159">Seimiya et al., 2020</xref>; <xref ref-type="bibr" rid="B99">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="B115">Nisar et al., 2021</xref>; <xref ref-type="bibr" rid="B33">Xu et al., 2021</xref>). Certain primary long noncoding transcripts process special processing, such as alternative splicing, which is an exon inclusion process for lncRNA genesis (<xref ref-type="fig" rid="F1">Figure 1C</xref>). This special processing might offer a new oncogenic driver or tumor-suppressive function for GBM progression. The alternative splicing process events generate new lncRNAs involved in GBM pathogenesis and oncogenesis (<xref ref-type="bibr" rid="B178">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="B189">Yang et al., 2021</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Schematic illustration of lncRNA species and structures. <bold>(A)</bold> Mainstream five categories according to the genomic location and transcript orientation of lncRNA. <bold>(B)</bold> Close circular structures in lncRNAs: originated from back-splicing of exons, namely, circular RNAs or circRNAs. <bold>(C)</bold>. LncRNA processing enables lncRNA by promoting or suppressing GBM progression properties during GBM tumorigenesis and development. Red and green arrows indicate highly or weakly expressed lncRNAs, respectively.</p>
</caption>
<graphic xlink:href="fcell-10-846864-g001.tif"/>
</fig>
</sec>
<sec id="s3">
<title>3 Generally Molecular Basis of lncRNAs</title>
<p>Since lncRNAs were discovered in 1990, numerous investigations have begun to determine how lncRNAs were involved in regulating signaling transduction in diverse cellular activity and multiple malignant tumor initiation and progression (<xref ref-type="bibr" rid="B71">Kopp and Mendell, 2018</xref>). LncRNAs exert their functional roles in regulating multiple biological events through various ways, including binding to DNA, interacting with RNA, and forming an RNA&#x2013;protein complex through association with proteins (<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F4">4</xref>). First, chromatin structure and epigenetic modifications are remodeled by lncRNAs binding to DNA and thus affecting the expression of target genes. Second, lncRNAs function as molecular sponges by interacting with mRNAs or miRNAs, thereby mediating the stability and translation of mRNAs or the binding of miRNAs to affect their own target gene expression. Third, lncRNAs are able to bind with proteins to modulate their structural conformation, subcellular localization or stability, and other aspects of functions. We have discussed the functional roles of lncRNA in GBM in detail.</p>
<sec id="s3-1">
<title>3.1 Transcriptional Activation</title>
<p>It has been widely accepted that many transcription factors are highly expressed in GBM, including SOX2, HIF-1&#x3b1;, and c-Myc (<xref ref-type="bibr" rid="B200">Zhang et al., 2011</xref>; <xref ref-type="bibr" rid="B102">Man et al., 2018</xref>; <xref ref-type="bibr" rid="B212">Zhou et al., 2016</xref>; <xref ref-type="bibr" rid="B211">Zheng et al., 2015</xref>; <xref ref-type="bibr" rid="B3">Bae et al., 2021</xref>). These transcription factors are not only involved in promoting the initiation of the transcriptional process of protein-coding genes but are also required for the initiative transcription of noncoding genes, including lncRNAs. XISTs were transcribed by general transcription factors involved in controlling gene expression by recruiting specific histone deacetylase to the nucleosomes (<xref ref-type="fig" rid="F2">Figure 2A</xref>). For example, Wang et al. systemically reported that transcription factor HIF-1&#x3b1; was involved in transcribing numerous lncRNAs (<xref ref-type="bibr" rid="B170">Wang et al., 2020a</xref>; <xref ref-type="bibr" rid="B92">Liu et al., 2019a</xref>; <xref ref-type="bibr" rid="B174">Wang et al., 2020b</xref>). GBM is characterized by areas of hypoxia and is associated with worse patient survival. Thus, lncRNAs transcribed by HIF-1&#x3b1; may be partially responsible for HIF-1&#x3b1;&#x2013;driven GBM progression. Wang et al. reported that PDIA3P1 was induced by HIF-1&#x3b1; and executed as ceRNA to sponge miR-124-3p, consequently promoting epithelial&#x2013;mesenchymal transition in glioma (<xref ref-type="fig" rid="F2">Figure 2B</xref>) (<xref ref-type="bibr" rid="B170">Wang et al., 2020a</xref>). Many lncRNAs have been revealed to be transcriptionally activated by transcription factors that play critical roles in promoting GBM progression, whereas the underlying molecular mechanisms of those lncRNAs in facilitating GBM progression require further study.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>
<bold>(A)</bold> Scheme of molecular mechanisms of lncRNA initiative transcriptional. TSS and &#x2b;1 indicate transcriptional start sites and transcription begin, respectively. <bold>(B)</bold> HIF-1&#x3b1; or other transcription factors bind to the lncRNA promoter and activate lncRNA expression at the transcriptional level, thereby promoting GBM progression by binding with miRNA, protein, and DNA. TFs means transcription factors.</p>
</caption>
<graphic xlink:href="fcell-10-846864-g002.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>3.2 DNA Binding and Chromatin Remodeling</title>
<p>The vast majority of lncRNAs are found to localize in the nucleus, and are commonly found to bind with DNA to regulate gene expression. As mentioned previously, this direct RNA&#x2013;DNA interaction renders lncRNAs to mediate gene expression <italic>in cis</italic> (lncRNA and target genes are localized at the same chromosome) or <italic>in trans</italic> (lncRNA and target genes are localized at different chromosomes); those lncRNAs commonly function as guide lncRNAs. The communication between lncRNAs and well-documented chromatin-associated regulatory complexes is recently further investigated. For example, the lncRNA SWINGN influences the capacity of the SWI/SNF complexes to trigger the epigenetic activation of specific promoters <italic>via</italic> SMARCB1-dependent activity in topologically organized regions (<xref ref-type="bibr" rid="B46">Grossi et al., 2020</xref>). XIST is one of the well-identified lncRNAs that specifically bind with DNA, which modulates X chromosome inactivation during the early developmental progression (<xref ref-type="bibr" rid="B11">Brown et al., 1991</xref>) (<xref ref-type="fig" rid="F2">Figure 2A</xref>). To date, accumulated pieces of evidence have reported that multiple lncRNAs execute their biological function by binding with DNA. However, only a small fraction of lncRNA function has been fully elucidated. <xref ref-type="bibr" rid="B142">Shi et al. (2020)</xref> suggested that HOTAIRM1 represses the expression of HOXA cluster genes and GBM cell proliferation through the regulation of high-order chromatin structure. Hu et al. revealed that nucleus PLAC2 interacts with STAT1 and activates RPL36 in the transcriptional level by binding RPL36 promoters, but the cytoplasmic lncRNA PLAC2 repressed STAT1 nuclear transfer, consequently reducing RP36 expression, inhibiting glioma cell growth and arresting cell cycle progression (<xref ref-type="fig" rid="F3">Figure 3A</xref>) (<xref ref-type="bibr" rid="B57">Hu et al., 2018a</xref>). It is noteworthy that only a small portion of lncRNAs was functionally illustrated to bind with DNA because of the lack of related studies.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>
<bold>(A)</bold> PLAC2 interacts with STAT1 in the nucleus, thereby activating RPL36 expression in the transcriptional level through binding the RPL36 promoter, leading to inhibited GBM cell growth and arresting cell cycle progression. <bold>(B)</bold> TUG1 coordinately promotes GSC self-renewal by sponging miR-145 and recruiting EZH2 to repress differentiation gene expression. <bold>(C)</bold> FOXM1-AS promotes the interaction of ALKBH5 with FOXM1 nascent transcripts by specifically binding with ALKBH5. <bold>(D)</bold> Circular RNA E-cadherin encodes a small peptide that promotes GSC tumorigenicity through binding and activating EGFR signaling.</p>
</caption>
<graphic xlink:href="fcell-10-846864-g003.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>3.3 miRNA Sponge</title>
<p>As mentioned previously, lncRNAs execute their biological function by interacting with various macromolecules to form RNA complexes. It has been widely studied that miRNA directly interacts with mRNAs to modulate mRNA stability, thereby regulating target gene expression (<xref ref-type="bibr" rid="B217">zur Hausen, 2008</xref>; <xref ref-type="bibr" rid="B34">Esquela-Kerscher, 2010</xref>). Thousands of lncRNAs have been identified to act as competitive endogenous RNA (ceRNA) by directly binding to miRNAs and affecting their stability; thus, these functional lncRNAs were also termed as miRNA sponges. For example, LncRNA SNHG4 directly binds to miR-138 and promotes GBM cell proliferation <italic>via</italic> upregulating c-Met, which is a target gene of miR-138 (<xref ref-type="bibr" rid="B175">Wang et al., 2020c</xref>). SNHG15 was highly expressed in GBM and promotes tumor angiogenesis by inhibiting the tumor suppressor gene miR-627-5p (<xref ref-type="bibr" rid="B78">Li et al., 2019a</xref>). GAPLINC promotes GBM cell proliferation and invasion by sponging miR-331-3p (<xref ref-type="bibr" rid="B16">Chen et al., 2019</xref>). LncRNA MALAT1 targets miR-199a and upregulates ZHX1 to promote glioma proliferation and progression (<xref ref-type="bibr" rid="B81">Liao et al., 2019a</xref>). Mu et al. suggested that BCYRN1 was the most highly expressed lncRNA in 183 dysregulated lncRNAs. BCYRN1 high expression predicts poor outcomes of glioma patients. BCYRN1 executed its function by sponging miR-619-5p, which was implicated in affecting CUEDC2 expression and the PTEN/AKT/p21 pathway (<xref ref-type="bibr" rid="B113">Mu et al., 2020</xref>). Katsushima et al. reported that TUG1 was specifically activated by Notch1 in GSCs coordinately potentiating GSC self-replication maintenance by sponging miR-145 in the cytoplasm and recruiting polycomb protein complexes to repress the expression of serval differentiation genes (<xref ref-type="bibr" rid="B67">Katsushima et al., 2016</xref>) (<xref ref-type="fig" rid="F3">Figure 3B</xref>). <xref ref-type="bibr" rid="B91">Liu et al. (2021)</xref> reported that PCGEM1 inhibition repressed GBM cell proliferation, migration, invasion, and tumor growth <italic>in vivo</italic> by promoting CDK6 expression by quenching miR-539-5p. <xref ref-type="bibr" rid="B27">Deguchi et al. (2017)</xref> revealed that ECONEXIN as a novel oncogene promotes TOP2A expression by quenching miR-411-5p, which potentiates glioma cell proliferation. In addition, recent studies reported that LINC01094 (<xref ref-type="bibr" rid="B91">Liu et al., 2022</xref>), DGCR5 (<xref ref-type="bibr" rid="B54">He et al., 2020a</xref>), NFIA-AS2 (<xref ref-type="bibr" rid="B180">Xin et al., 2020</xref>), HANR (<xref ref-type="bibr" rid="B172">Wang et al., 2020d</xref>), LINC00355 (<xref ref-type="bibr" rid="B125">Qi et al., 2021</xref>), and ZFPM2-AS1 (<xref ref-type="bibr" rid="B204">Zhang et al., 2021</xref>) were involved in regulating GBM progression by quenching miR-224-5p, miR-21 and miR-23a, miR-655-3p, miRNA-335, miR-1225, and miR-515-5p, respectively. It is worth stating that numerous other functional lncRNAs, including HOTAIR, GAS5, and CASC2, are able to regulate GBM malignant progression by functioning as ceRNA to quench miRNA activity, which has also been reported elsewhere (<xref ref-type="bibr" rid="B122">Peng et al., 2018b</xref>; <xref ref-type="bibr" rid="B22">Cheng et al., 2020a</xref>; <xref ref-type="bibr" rid="B147">Stackhouse et al., 2020</xref>).</p>
</sec>
<sec id="s3-4">
<title>3.4 Protein Interaction</title>
<p>Multiple lncRNAs implement their regulatory functions by binding to RNA binding protein (RBP) and modulating their turnover, implying that lncRNAs hold great potential to serve as therapeutic targets. Given that various similarities existed between lncRNAs and mRNAs, many lncRNAs have been reported to be involved in regulating RBP stability by physical interaction with RBPs. LncRNA MATN1-AS1 binds to E2F6 by competing with RELA and decreased cell proliferation and migration. Kang et al. reported that lncRNA RP11 accelerates p21 degradation and promotes glioma growth by acting as a scaffold protein to physically interact with 14-3-3 &#x3b2;/&#x3b1;, which mediates the degradation of p21 (<xref ref-type="bibr" rid="B66">Kang et al., 2019</xref>). Miao <italic>et al.</italic> revealed that DLGAP1-AS2 promotes glioma cell proliferation, migration, and apoptosis <italic>via</italic> interacting and regulating YAP1 expression (<xref ref-type="bibr" rid="B110">Miao et al., 2020</xref>). Sheng et al. revealed that p53 directly binds to the promoter of ST7-AS1 and activates ST7-AS1 expression at the transcriptional level, which subsequently binds PTBP1 to suppress Wnt/&#x3b2;-catenin signaling and inhibits GBM progression (<xref ref-type="bibr" rid="B140">Sheng et al., 2021</xref>). Tang et al. revealed that LINC00115, which is activated by TGF-&#x3b2;, promotes GSC tumorigenicity by augmenting ZNF596 transcription <italic>via</italic> preventing binding of miR-200s to the 5&#x2032;-UTR of ZNF596, thereby promoting ZNF596/EZH2/STAT3 signaling axis and GBM tumorigenesis (<xref ref-type="bibr" rid="B188">Yang et al., 2020a</xref>). Zhang et al. revealed that ALKBH5 demethylates FOXM1 nascent transcripts, resulting in increased FOXM1 expression. In addition, FOXM1-AS (a long non-coding RNA antisense to FOXM1) triggers the interaction of ALKBH5 with FOXM1 nascent transcripts by directly binding to ALKBH5. Silencing ALKBH5 and FOXM1-AS blocked GSC tumorigenesis by the FOXM1 axis (<xref ref-type="bibr" rid="B202">Zhang et al., 2017a</xref>) (<xref ref-type="fig" rid="F3">Figure 3C</xref>). These pieces of evidence suggest that lncRNAs could be involved in signaling transduction by regulating RBP stability, activation, or subcellular localization.</p>
<p>LncRNA was also involved in regulating protein posttranscriptional modification by directly interacting with protein. For instance, Zhu et al. revealed that lnc-&#x3b2;-Catm functions as a scaffold lncRNA to interact with &#x3b2;-catenin and the methyltransferase EZH2, resulting in methylating &#x3b2;-catenin. Methylation of &#x3b2;-catenin inhibits the ubiquitination and &#x3b2;-catenin protein accumulation, thereby activating Wnt-&#x3b2;-catenin signaling and liver CSC self-renewal (<xref ref-type="bibr" rid="B215">Zhu et al., 2016a</xref>). Wang et al. suggested that lnc-DC (dendritic cells) interacts directly with STAT3 in the cytoplasm, which leads to enhanced STAT3 phosphorylation on tyrosine-705 <italic>via</italic> preventing STAT3 binding to and dephosphorylation by SHP1 (<xref ref-type="bibr" rid="B168">Wang et al., 2014</xref>). Another study suggested that HIF-1&#x3b1;&#x2013;induced lincRNA-p21 in the transcriptional level and highly expressed lincRNA-p21 associates with HIF-1&#x3b1; and VHL, thereby leading to disrupting the VHL/HIF-1&#x3b1; protein complex interaction and resulting in attenuating VHL-mediated HIF-1&#x3b1; ubiquitination and degradation, which is essential for hypoxia-mediated glycolysis and cancer progression (<xref ref-type="bibr" rid="B187">Yang et al., 2014</xref>). This study highlighted that lncRNA-p21 serves as a valuable therapeutic target for cancer. Furthermore, Sun et al. revealed that lncRNA GClnc1 activates gastric carcinogenesis progression by serving as a modular scaffold of WDR5, which is a key component of histone methyltransferase complex and KAT2A, which consequently leads to altered histone modification pattern (<xref ref-type="bibr" rid="B151">Sun et al., 2016</xref>).</p>
<p>As introduced previously, lncRNA is able to serve as an anchoring scaffold by directly binding to the protein complex. For instance, Bian et al. reported that FEZF1-AS1 is capable of binding and enhancing pyruvate kinase 2 (PKM2) protein stability, which causes improved cytoplasmic and nuclear PKM2 levels. Increased cytoplasmic PKM2 boosted pyruvate kinase activity and lactate production, thereby leading to promoting colorectal cancer progression (<xref ref-type="bibr" rid="B7">Bian et al., 2018</xref>). However, to the best of our knowledge, there are no GBM-associated lncRNAs involved in protein posttranscriptional regulation. Therefore, it is necessary to explore GBM-associated lncRNAs involved in promoting key protein stability.</p>
</sec>
<sec id="s3-5">
<title>3.5 Encoding Small Functional Micro-Peptides</title>
<p>As mentioned above, lncRNAs are defined with transcripts longer than 200&#xa0;nt and without coding capability. However, much evidence supported that lncRNAs execute their function by encoding functional micropeptides based on their small open-reading frames (sORFs) (<xref ref-type="bibr" rid="B1">Anderson et al., 2015</xref>). As early as 2002, lncRNA ENOD40 was able to encode a small peptide, which directly interacts with sucrose synthase and thereby affects its biological function (<xref ref-type="bibr" rid="B132">Rohrig et al., 2002</xref>). Following the discovery of bioinformatic approaches and next-generation sequencing technologies in recent years, more and more sORFs have been characterized in transcripts formerly recognized as noncoding potential (<xref ref-type="bibr" rid="B61">Ingolia et al., 2014</xref>; <xref ref-type="bibr" rid="B2">Aspden et al., 2014</xref>; <xref ref-type="bibr" rid="B60">Huang et al., 2020a</xref>). For example, circular RNA E-cadherin, which is encoded by the E-cadherin variant, promotes GSC tumorigenicity by encoding a small peptide called C-E-Cad, which then binds to EGFR, thereby activating EGFR/STAT3 signaling. Targeting C-E-Cad by an antibody against C-E-Cad inhibits GSC tumorigenic capacity <italic>in vivo</italic> (<xref ref-type="bibr" rid="B39">Gao et al., 2021</xref>) (<xref ref-type="fig" rid="F3">Figure 3D</xref>). Zhang et al. revealed that an 87&#x2013;amino-acid small peptide encoded by LINC-PINT regresses GBM cell proliferation <italic>in vitro</italic> and <italic>in vivo</italic> by directly interacting with PAF1c and thereby suppressing the transcriptional elongation of various oncogenes (<xref ref-type="bibr" rid="B199">Zhang et al., 2018</xref>). These landmark studies open a new direction for the GBM studies and provide more options for developing new therapeutic targets for GBM patients.</p>
</sec>
<sec id="s3-6">
<title>3.6 Exosome-Transmitted lncRNA</title>
<p>Exosomes (70&#x2013;120&#xa0;nm) are microvesicles that are derived from multivesicular bodies (MVBs) and are secreted into the extracellular milieu after fusion with the cytomembrane (<xref ref-type="bibr" rid="B158">Th&#xe9;ry, 2011</xref>). Recently, emerging pieces of evidence demonstrated that exosomes can be released from various types of cells and can participate in intercellular communication by transmitting intracellular regulators, such as proteins and nucleic acids, including miRNA and lncRNA (<xref ref-type="bibr" rid="B120">Peinado et al., 2012</xref>; <xref ref-type="bibr" rid="B107">Melo et al., 2014</xref>). A landmark study from Qu et al. revealed that exosomal lncARSR derived from resistant renal cell carcinoma (RCC) cells could confer sunitinib resistance to endothelial cells by functioning as a ceRNA to quench miR-34 and miR-449, thereby leading to accumulated AXL and c-MET expression. Targeting lncARSR or AXL/c-MET in sunitinib-resistant RCC restores drug sensitivity (<xref ref-type="bibr" rid="B126">Qu et al., 2016</xref>). In GBM, exosomes derived from AHIF (<xref ref-type="bibr" rid="B25">Dai et al., 2019</xref>), LINC00470 (<xref ref-type="bibr" rid="B101">Ma et al., 2021</xref>), and lncSBF2-AS1 reportedly facilitate GBM malignant progression.</p>
</sec>
</sec>
<sec id="s4">
<title>4 Significance of lncRNAs in GBM Malignant Phenotypes</title>
<p>Recently, numerous studies documented that multiple dysregulated lncRNAs in GBM are closely associated with GBM tumorigenesis and malignant progression (<xref ref-type="bibr" rid="B185">Yan et al., 2017</xref>; <xref ref-type="bibr" rid="B118">Pan et al., 2020</xref>; <xref ref-type="bibr" rid="B79">Li et al., 2021</xref>). GBM-related lncRNAs that facilitate or repress these malignant behaviors by interplaying with their binding partners are comprehensively summarized as below.</p>
<sec id="s4-1">
<title>4.1 Gaining GSC Properties</title>
<p>It has been well-proven that a small subset of cancerous cells, termed as the glioma stem cell (GSC) in glioma (<xref ref-type="bibr" rid="B55">Hemmati et al., 2003</xref>; <xref ref-type="bibr" rid="B144">Singh et al., 2003</xref>; <xref ref-type="bibr" rid="B145">Singh et al., 2004</xref>), bear extremely high tumorigenic potential by replicating rapidly and differentiating into specialized cell types. GSCs have been shown to account for GBM malignant progression, recurrence, and therapeutic resistance (<xref ref-type="bibr" rid="B5">Bao et al., 2006</xref>; <xref ref-type="bibr" rid="B17">Chen et al., 2012</xref>; <xref ref-type="bibr" rid="B12">Cai et al., 2021</xref>). At present, emerging pieces of evidence revealed that lncRNAs were also well-established to be crucially involved in regulating GSC self-renewal maintenance. For example, LINC00115, activated by TGF-&#x3b2;, acts as a miRNA sponge and upregulates ZEB1 by competitively binding to miR-200s, thereby increasing ZEB1 signaling and GSC self-renewal ability (<xref ref-type="fig" rid="F4">Figure 4</xref>) (<xref ref-type="bibr" rid="B90">Liu et al., 2019b</xref>). In addition, MALAT1 was reported to be enriched in GSC extracellular vesicles compared with GSCs and directly interacts with miR-129-5p, thereby decreasing HMGB1 expression (<xref ref-type="bibr" rid="B188">Yang et al., 2020a</xref>). In another study, MALAT1 was reported to promote GSC self-renewal and proliferation by increasing SOX2 expression, which is an important GSC stemness maintenance regulator (<xref ref-type="bibr" rid="B68">Ke et al., 2015</xref>). As mentioned above, TUG1 was specifically triggered by Notch1 in to coordinately promote GSC self-renewal by sponging miR-145 in the cytoplasm and recruiting polycomb protein complexes to suppress serval differentiation gene expression (<xref ref-type="bibr" rid="B67">Katsushima et al., 2016</xref>). LncRNA XIST was found to potentiate the proliferation of GSCs and regressed their apoptotic rate. More than directly sponging to miR-152, XIST is likely in the same RNA-induced silencing complex (RISC) with miR-152, leading to abrogate miR-152 downstream signaling (<xref ref-type="bibr" rid="B190">Yao et al., 2015</xref>). All of these findings suggest that lncRNAs could function as an important regulator in regulating GSC self-renewal and hold tremendous potential to serve as therapeutic targets to specifically eliminate GSCs. Thus, it is of significance to decipher more oncogenic lncRNAs and their molecular basis that promote GSC self-renewal.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>The functional roles and molecular mechanisms of lncRNAs in sustaining or suppressing GBM malignant progression.</p>
</caption>
<graphic xlink:href="fcell-10-846864-g004.tif"/>
</fig>
</sec>
<sec id="s4-2">
<title>4.2 Promoting Uncontrolled Proliferation</title>
<p>Glioma tumorigenesis is a biologically complex process consisting of abnormal activation of oncogenic drivers or loss of function of tumor suppressors (<xref ref-type="bibr" rid="B51">Hanahan and Weinberg, 2000</xref>; <xref ref-type="bibr" rid="B42">Chinig&#xf2; et al., 2021</xref>). As mentioned previously, lncRNAs play important roles in regulating the malignant proliferation of GBM or other cancers. For instance, the expression of lncRNA CCND2-AS2 is significantly increased in GBM tissues and cell lines. Targeting CCND2-AS1 represses GBM cell growth and migration through suppressing Wnt/&#x3b2;-catenin signaling (<xref ref-type="bibr" rid="B198">Zhang et al., 2017b</xref>). LncRNA NNT-AS1 potentiates glioma cell proliferation <italic>via</italic> quenching miR-494-3p, resulting in upregulating PRMT1 and promoting GBM progression (<xref ref-type="bibr" rid="B209">Zheng et al., 2020a</xref>). As mentioned previously, <xref ref-type="bibr" rid="B27">Deguchi et al. (2017)</xref> reported that ECONEXIN is a novel oncogene that promotes TOP2A expression through quenching miR-411-5p, which potentiates glioma cell proliferation. <xref ref-type="bibr" rid="B66">Kang et al. (2019)</xref> reported that lncRNA RP11-732M18.3 specifically binds 14-3-3 &#x3b2;/&#x3b1;, which facilitates p21 degradation, thereby promoting GBM cell proliferation (<xref ref-type="fig" rid="F4">Figure 4</xref>). It is worth mentioning that several lncRNAs, including MATN1-AS1 (<xref ref-type="bibr" rid="B214">Zhu et al., 2020</xref>), ROR1-AS1 (<xref ref-type="bibr" rid="B15">Chai et al., 2020</xref>), and LEF1-AS1 (<xref ref-type="bibr" rid="B24">Cheng et al., 2020b</xref>), are capable of influencing GBM uncontrolled cell proliferation through binding with other molecules, which have been summarized elsewhere (<xref ref-type="bibr" rid="B76">Li et al., 2018</xref>). In addition, the dysregulated lncRNAs that regulate GBM cell proliferation are listed in detail in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Dysregulated lncRNAs and their biological significance in the progression of GBM.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">LncRNAs</th>
<th align="center">Roles</th>
<th align="center">Partners</th>
<th align="center">Working models</th>
<th align="center">Significance</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">LINC00115</td>
<td align="left">Oncogene</td>
<td align="left">miR-200s</td>
<td align="left">miRNA sponge</td>
<td align="left">Self-renewal</td>
<td align="left">
<xref ref-type="bibr" rid="B90">Liu et al. (2019b)</xref>
</td>
</tr>
<tr>
<td align="left">MALAT1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-129-5p</td>
<td align="left">miRNA sponge</td>
<td align="left">Self-renewal</td>
<td align="left">
<xref ref-type="bibr" rid="B50">Han et al., 2016</xref>; <xref ref-type="bibr" rid="B188">Yang et al., 2020a</xref>
</td>
</tr>
<tr>
<td align="left">TUG1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-145</td>
<td align="left">miRNA sponge</td>
<td align="left">Self-renewal</td>
<td align="left">
<xref ref-type="bibr" rid="B67">Katsushima et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">CGEM1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-539-5p</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; migration</td>
<td align="left">
<xref ref-type="bibr" rid="B94">Liu et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">DGCR5</td>
<td valign="top" align="left">Tumor suppressor</td>
<td valign="top" align="left">miR-21, miR-23a</td>
<td align="left">miRNA sponge</td>
<td align="left">Invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B54">He et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">NFIA-AS2</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-655-3p</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; migration</td>
<td align="left">
<xref ref-type="bibr" rid="B180">Xin et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">HANR</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miRNA-335</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B172">Wang et al. (2020d)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00355</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-1225</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B125">Qi et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIR</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-326</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B68">Ke et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">GAS5</td>
<td valign="top" align="left">Tumor suppressor</td>
<td valign="top" align="left">miR-196a-5p</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B207">Zhao et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">XIST</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-152</td>
<td align="left">miRNA sponge</td>
<td align="left">Self-renewal; drug resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B190">Yao et al., 2015</xref>; <xref ref-type="bibr" rid="B31">Du et al., 2017b</xref>
</td>
</tr>
<tr>
<td align="left">HOTAIRM1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">HOX</td>
<td align="left">Transcriptional activation</td>
<td align="left">Self-renewal</td>
<td align="left">
<xref ref-type="bibr" rid="B179">Xia et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00115</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-200s</td>
<td align="left">miRNA sponge</td>
<td align="left">Self-renewal</td>
<td align="left">
<xref ref-type="bibr" rid="B155">Tang et al. (2019b)</xref>
</td>
</tr>
<tr>
<td align="left">CCND2-AS2</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">Wnt/&#x3b2;-catenin</td>
<td align="left">Protein degradation</td>
<td align="left">Proliferation; migration</td>
<td align="left">
<xref ref-type="bibr" rid="B198">Zhang et al. (2017b)</xref>
</td>
</tr>
<tr>
<td align="left">NNT-AS1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-494-3p</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B209">Zheng et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">ECONEXIN</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-411-5p</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B27">Deguchi et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">RP11-732M18.3</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">14-3-3 &#x3b2;/&#x3b1;</td>
<td align="left">Protein degradation</td>
<td align="left">Proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B66">Kang et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">SNHG1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-194, miR-9-5p</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; migration</td>
<td align="left">
<xref ref-type="bibr" rid="B90">Liu et al. (2019b)</xref>; <xref ref-type="bibr" rid="B109">Mi et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">BLACAT1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-605-3p</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; migration</td>
<td align="left">
<xref ref-type="bibr" rid="B93">Liu et al. (2019c)</xref>
</td>
</tr>
<tr>
<td align="left">GACAT3</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-135a</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; migration</td>
<td align="left">
<xref ref-type="bibr" rid="B167">Wang et al. (2019b)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00475</td>
<td valign="top" align="left">Tumor suppressor</td>
<td valign="top" align="left">miR-449b-5p</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; migration</td>
<td align="left">
<xref ref-type="bibr" rid="B194">Yu et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">MATN1-AS1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-200b/c/429</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B214">Zhu et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">ROR1-AS1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-4686</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B15">Chai et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">LEF1-AS1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-489-3p</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B24">Cheng et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00470</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-580-3p</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B101">Ma et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">FOXD1-AS1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR339-5p</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; migration</td>
<td align="left">
<xref ref-type="bibr" rid="B40">Gao et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">AC016405.3</td>
<td valign="top" align="left">Tumor suppressor</td>
<td valign="top" align="left">miR-19a-5p</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; migration</td>
<td align="left">
<xref ref-type="bibr" rid="B129">Ren and Xu, (2019)</xref>
</td>
</tr>
<tr>
<td align="left">NCK1-AS1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-138-2-3p</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; migration</td>
<td align="left">
<xref ref-type="bibr" rid="B59">Huang et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">MIR22HG</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-22</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation; self-renewal</td>
<td align="left">
<xref ref-type="bibr" rid="B49">Han et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">BCAR4</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">EGFR</td>
<td align="left">Protein binding</td>
<td align="left">Proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B177">Wei et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">THOR</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">IGF2BP1</td>
<td align="left">Protein binding</td>
<td align="left">Proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B183">Xue et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">PDIA3P1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-124-3p</td>
<td align="left">miRNA sponge</td>
<td align="left">Invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B170">Wang et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">ATB</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">p38</td>
<td align="left">Protein binding</td>
<td align="left">Invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B154">Tang et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">PVT1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-128-3p</td>
<td align="left">miRNA sponge</td>
<td align="left">Invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B37">Fu et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">NEAT1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-132</td>
<td align="left">miRNA sponge</td>
<td align="left">Proliferation, invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B213">Zhou et al., 2018</xref>; <xref ref-type="bibr" rid="B208">Zhen et al., 2019</xref>
</td>
</tr>
<tr>
<td align="left">RMST</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">FUS</td>
<td align="left">Protein degradation</td>
<td align="left">Proliferation; invasion</td>
<td align="left">
<xref ref-type="bibr" rid="B87">Liu et al. (2020c)</xref>
</td>
</tr>
<tr>
<td align="left">PAXIP1-AS1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">ETS1</td>
<td align="left">Transcriptional activation</td>
<td align="left">Invasion; angiogenesis</td>
<td align="left">
<xref ref-type="bibr" rid="B182">Xu et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">SOX2OT</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">ALKBH5</td>
<td align="left">Protein scaffold</td>
<td align="left">Drug resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B86">Liu et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">CASC2</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-181a</td>
<td align="left">miRNA sponge</td>
<td align="left">Drug resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B83">Liao et al. (2017a)</xref>
</td>
</tr>
<tr>
<td align="left">TP73-AS1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">ALDH1A1</td>
<td align="left">Transcriptional activation</td>
<td align="left">Drug resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B105">Mazor et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">SNHG15</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-627-5p</td>
<td align="left">miRNA sponge</td>
<td align="left">Drug resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B80">Li et al. (2019b)</xref>
</td>
</tr>
<tr>
<td align="left">SBF2-AS1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-151a-3p</td>
<td align="left">miRNA sponge</td>
<td align="left">Drug resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B205">Zhang et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">ADAMTS9-AS2</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">FUS</td>
<td align="left">Protein binding</td>
<td align="left">Drug resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B184">Yan et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">CASC2</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-181a</td>
<td align="left">miRNA sponge</td>
<td align="left">Drug resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B84">Liao et al. (2017b)</xref>
</td>
</tr>
<tr>
<td align="left">H19</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-29a</td>
<td align="left">miRNA sponge</td>
<td align="left">Angiogenesis</td>
<td align="left">
<xref ref-type="bibr" rid="B63">Jia et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">HULC</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">PI3K/Akt/mTOR</td>
<td align="left">Protein scaffold</td>
<td align="left">Angiogenesis</td>
<td align="left">
<xref ref-type="bibr" rid="B216">Zhu et al. (2016b)</xref>
</td>
</tr>
<tr>
<td align="left">NKILAT</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">HIF-1&#x3b1;</td>
<td align="left">Not reported</td>
<td align="left">Angiogenesis</td>
<td align="left">
<xref ref-type="bibr" rid="B21">Chen et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00346</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">ZNF665</td>
<td align="left">mRNA binding</td>
<td align="left">Angiogenesis</td>
<td align="left">
<xref ref-type="bibr" rid="B186">Yang et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">LINC00667</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">miR-429</td>
<td align="left">mRNA binding</td>
<td align="left">Angiogenesis</td>
<td align="left">
<xref ref-type="bibr" rid="B166">Wang et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">LINC-RA1</td>
<td valign="top" align="left">Oncogene</td>
<td valign="top" align="left">H2Bub1/USP44</td>
<td align="left">Protein scaffold</td>
<td align="left">Radioresistance</td>
<td align="left">
<xref ref-type="bibr" rid="B210">Zheng et al. (2020b)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Avoiding cellular apoptosis is another avenue for cancer cells to promote cell proliferation. Recent studies suggested that lncRNAs also play critical roles in cellular apoptosis (<xref ref-type="bibr" rid="B97">Liu and Gu, 2022</xref>; <xref ref-type="bibr" rid="B111">Misir et al., 2022</xref>; <xref ref-type="bibr" rid="B131">Roberts et al., 2022</xref>). For instance, Cheng et al. underscored that STAT1 enhances NKILA expression through binding with the NKILA promoter and consequently transcriptionally activates NKILA expression, which results in regulating T cell sensitivity to activation-induced cell death by inhibiting NF-&#x3ba;B activity by interacting with NF-&#x3ba;B. High expression of NKILA in tumor-specific cytotoxic T lymphocytes and T<sub>H</sub>1 cells is associated with their apoptosis and shorter patient survival (<xref ref-type="bibr" rid="B58">Huang et al., 2018</xref>). However, the functional roles of lncRNAs in GBM cell death, including autophagy, pyroptosis, and ferroptosis, still remain to be understood.</p>
</sec>
<sec id="s4-3">
<title>4.3 Activating Invasion and Metastasis</title>
<p>Tumor metastasis remains the leading cause of mortality in cancer patients worldwide. Generally, metastasis is a complicated biological process with numerous stochastic events, including cancer cell migration, local invasion, cancer cell intravasation into the circulation, seed at secondary sites, and formation of clinically detectable metastasis (<xref ref-type="bibr" rid="B72">Lambert et al., 2017</xref>; <xref ref-type="bibr" rid="B103">Massagu&#xe9; and Obenauf, 2016</xref>). Compelling evidence demonstrated that lncRNAs played critical roles in regulating GBM metastatic progression. For example, lncRNA PDIA3P1, which was activated by hypoxia, and its high expression was correlated with the process of epithelial&#x2013;mesenchymal transition (EMT) and angiogenesis, and ectopically expressed PDIA3P1 potentiates the migration and invasion capacity of GBM cells (<xref ref-type="bibr" rid="B170">Wang et al., 2020a</xref>). Feng et al. recognized that lncRNA-ATB, which is activated by TGF-&#x3b2;, augmented glioma cell invasion mediated by TGF-&#x3b2; through activating p38 signaling (<xref ref-type="fig" rid="F4">Figure 4</xref>) (<xref ref-type="bibr" rid="B154">Tang et al., 2019a</xref>). Fu et al. reported that lncRNA PVT1 functions as a ceRNA sponge of miR-128-3p and enhances GBM cell proliferation and invasion by affecting BMP2 and BMP4 expression, which are the core regulators of the BMP signaling pathway (<xref ref-type="bibr" rid="B37">Fu et al., 2018</xref>). Zhou et al. recognized that NEAT1 expression was significantly increased in glioma. Targeting NEAT1 regressed glioma cell proliferation, migration, and invasion through sponging miR-132, thereby inhibiting Sox2 expression (<xref ref-type="bibr" rid="B213">Zhou et al., 2018</xref>). All of these studies not only provide significant insights into the metastatic progression of biological functions of lncRNAs but also identify new targeted biomarkers, which can be utilized in the targeted therapy for GBM clinical treatment.</p>
<p>EMT is an intricate complex that is required for the invasion of GBM cells and gives rise to a new tumor (<xref ref-type="bibr" rid="B29">Dong et al., 2021</xref>). However, the biological function of lncRNAs in the EMT process of GBM remains poorly understood. Recently, Tao et al. screened EMT-associated lncRNAs in TCGA database and found nine EMT-associated lncRNAs and GBM patients with higher EMT-associated lncRNA expression had poorer overall survival (<xref ref-type="bibr" rid="B156">Tao et al., 2021</xref>). However, the biological function and underlying molecular basis of EMT-associated lncRNAs still need to be characterized.</p>
</sec>
<sec id="s4-4">
<title>4.4 Therapeutic Resistance</title>
<p>Currently, the primary therapy for GBM is TMZ-based chemotherapy or radiotherapy and surgery (<xref ref-type="bibr" rid="B35">Ethun et al., 2017</xref>; <xref ref-type="bibr" rid="B47">Han et al., 2020a</xref>). As mentioned previously, TMZ is routinely used in glioma patient chemotherapy (<xref ref-type="bibr" rid="B157">Burster et al., 2021</xref>). However, the significant challenge of GBM treatments is that the patients eventually develop chemoresistance to TMZ, which consequently causes tumor recurrence. LncRNAs are also involved in TMZ resistance. For instance, lncRNA SOX2OT recruits ALKBH5 to demethylate the SOX2 transcript, thereby leading to increased SOX2 expression, which then promotes GBM cell resistance TMZ treatment (<xref ref-type="bibr" rid="B86">Liu et al., 2020a</xref>). Besides the promotion of GBM cell growth and migration, the lncRNA MALAT1 was also documented to be resistant to TMZ in GBM, and silencing MALAT1 sensitizes GBM to TMZ treatment <italic>in vitro</italic> (<xref ref-type="bibr" rid="B75">Li et al., 2017</xref>; <xref ref-type="bibr" rid="B70">Kim et al., 2018</xref>). DNA repair protein O-6-methylguanine-DNA methyltransferase (MGMT) plays an important role in TMZ resistance. XIST potentiates the chemoresistance of GBM cells to TMZ by directly quenching and inhibiting miR-29c expression, which then targets SP1 and MGMT and decreases SP1 and MGMT expression. Thus, XIST/miR-29c may be a potential therapeutic target for glioma treatment (<xref ref-type="fig" rid="F4">Figure 4</xref>) (<xref ref-type="bibr" rid="B30">Du et al., 2017a</xref>). LncRNA CASC2 was weakly expressed in GBM, and exogenous CACS2 alone inhibited GBM cell proliferation and amplified TMZ-induced apoptosis of cell proliferation (<xref ref-type="bibr" rid="B83">Liao et al., 2017a</xref>). TP73-AS1 amplifies TMZ resistance in GSC and activates metabolism-related gene expression. ALDH1A1 is a biomarker known to be primarily expressed in GSCs and protects GSC from TMZ treatment (<xref ref-type="bibr" rid="B105">Mazor et al., 2019</xref>). Silencing SNHG15 in TMZ resistant cells enables GBM cells to be significantly sensitive to TMZ therapy by inhibiting miR-627-5p expression, which results in activation of the CDK6 (<xref ref-type="bibr" rid="B80">Li et al., 2019b</xref>). In addition, another report revealed that combining p50 and p53 with the proximal &#x3ba;B and p53 sites of the MALAT1 coding region, thereby increasing the chemosensitivity in turn (<xref ref-type="bibr" rid="B161">Voce et al., 2019</xref>). LncSBF2-AS1 was found to be highly expressed in TMZ-resistant GBM cells and tissues, targeting lncSBF2-AS1&#x2013;sensitized resistant GBM cells to TMZ resistance through serving as ceRNA for sponging miR-151a-3p, resulting in the suppression of its endogenous target, X-ray repair cross-complementing 4 (XRCC4), which increases DNA double-strand break repairability in GBM cells (<xref ref-type="bibr" rid="B205">Zhang et al., 2019</xref>). Higher expression of ADAMTS9-AS2 correlated with worse TMZ therapeutic effects and shorter progression-free survival (PFS) in TMZ-treated GBM patients. Silencing of ADAMTS9-AS2 prohibited GBM proliferation, migration, and invasion and decreased the therapeutic effects of TMZ treatment by directly binding to the RRM and Znf_RanBP2 domains of FUS, leading to increased FUS protein expression (<xref ref-type="bibr" rid="B184">Yan et al., 2019</xref>). In addition, the involvement of lncRNAs in TMZ resistance is listed in <xref ref-type="table" rid="T1">Table 1</xref>. As a consequence, it is feasible in clinics to specifically target lncRNAs to offer a fundamental option to overcome TMZ resistance in GBM. LncRNA is involved in TMZ.</p>
<p>Radiotherapy was considered to be the standard therapy for GBM patients. However, its therapeutic benefits are frequently limited with the development of radiotherapy resistance. LncRNAs emerged as regulators in radioresistance (<xref ref-type="bibr" rid="B14">Cardon et al., 2021</xref>). Our previous study suggested that high expression of KCNQ1OT1 was observed in stereotactic body radiotherapy-resistant cells and tissues, positively correlated with advanced clinical stage, and lower response rate to concurrent therapy. Silencing KCNQ1OT1 resensitized A549/IR and H1975/IR cells to radiation by prohibiting autophagy through sponging miR-372-3p, which directly targets autophagy-related 5 (ATG5) and autophagy-related 12 (ATG12) (<xref ref-type="bibr" rid="B53">He et al., 2020b</xref>). Liao et al. suggested that the antisense transcript of hypoxia-inducible factor-1&#x3b1; (AHIF) was highly expressed in GBM cells upon radiotherapy. Targeting AHIF repressed GBM cell clonogenic formation, DNA repair ability, and induced cellular apoptosis. Notably, knockdown of AHIF inhibited tumorigenesis after radiotherapy <italic>in vivo</italic> (<xref ref-type="bibr" rid="B82">Liao et al., 2019b</xref>).</p>
</sec>
<sec id="s4-5">
<title>4.5 Abnormal Angiogenesis</title>
<p>Solid tumors enhanced the requirement for oxygen and nutrient exchange owing to the rapid growth of cancer cells. Thus, abnormal angiogenesis was extremely required for cancer cells for proliferation and metastasis. Tumor cells are capable of promoting angiogenesis or even differentiating into endothelial cells to form new vessels (<xref ref-type="bibr" rid="B124">Pezzella et al., 2015</xref>; <xref ref-type="bibr" rid="B174">Wang et al., 2020b</xref>). Recent advances reported that many lncRNAs are involved in mediating the abnormal angiogenesis of GBM (<xref ref-type="bibr" rid="B4">Balandeh et al., 2021</xref>). For instance, <xref ref-type="bibr" rid="B63">Jia et al. (2016)</xref> characterized that H19 promotes glioma-associated endothelial cell (GEC) growth and the formation of the tube through sponging miR-29a, thereby promoting angiogenic factor VASH2 expression and angiogenesis. <xref ref-type="bibr" rid="B193">Yu et al. (2017)</xref> demonstrated that XIST promotes GBM angiogenesis <italic>via</italic> activation of the transcriptional activity of chemokine receptor 7b (CXCR7). The following study further proved that XIST potentiates glioma angiogenesis by sponging miR-429 (<xref ref-type="bibr" rid="B23">Cheng et al., 2017</xref>). LncRNA HULC (<xref ref-type="bibr" rid="B216">Zhu et al., 2016b</xref>) and H19 (<xref ref-type="bibr" rid="B98">Liu et al., 2020b</xref>) were identified to promote angiogenesis by activating the PI3K/Akt/mTOR and prohibiting the HIF-1&#x3b1; signaling pathway, respectively. Chen et al. elucidated that ectopic expression of NKILAT was inversely associated with the overall survival of GBM patients and high NKILAT expression potentiates angiogenesis in glioma, implying that NKILAT holds the potential to serve as a promising therapeutic biomarker by simulating HIF-1&#x3b1; signaling (<xref ref-type="bibr" rid="B21">Chen et al., 2020b</xref>). Likewise, Wang et al. reported that targeting USF1 potently repressed angiogenesis in GBM <italic>via</italic> SNHG16/miR-212-3p and the LINC00667/miR-429 signaling axis (<xref ref-type="bibr" rid="B166">Wang et al., 2019a</xref>).</p>
</sec>
<sec id="s4-6">
<title>4.6 Immune Evasion</title>
<p>The tumor immune microenvironment is closely associated with the aggressive development and therapeutic resistance of GBM. GBM cells commonly exhibit immune evasion or even interact with immune cells, thereby triggering malignant progression by secreting cytokines (<xref ref-type="bibr" rid="B112">Lei and Lee, 2021</xref>; <xref ref-type="bibr" rid="B69">Corral-Jara et al., 2021</xref>). LncRNAs were also involved in mediating immune evasion in GBM progression. For instance, <xref ref-type="bibr" rid="B173">Wang et al. (2020e)</xref> identified five immune gene&#x2013;related lncRNAs (AP001007.1, LBX-AS1, MIR155HG, MAPT-AS1, and LINC00515) that were correlated to glioma patient prognosis and clinical characteristics and are positively correlated with PD-L1, TIM-3, and B7-H3 expression. <xref ref-type="bibr" rid="B206">Zhao et al. (2019)</xref> reported that ZEB1 transcriptionally activated SNHG14, which displays immune evasion effects by inhibiting cytotoxic cell activation (<xref ref-type="fig" rid="F4">Figure 4</xref>). ROR1-AS1 was found to be packaged into exosomes and derived from tumor cells. Functional analysis suggested that exo-ROR1-AS1 facilitates GBM development through sponging miR-4686 (<xref ref-type="bibr" rid="B15">Chai et al., 2020</xref>). However, there are limiting pieces of evidence demonstrating the functional roles of lncRNAs in the progression of GBM immune evasion, suggesting that there is a crying need to identify more GBM immune evasion&#x2013;associated lncRNA and decode their biological function.</p>
<p>Many studies have shown that cancerous cells are capable of using epigenetic mechanisms to alter their autoimmune origin and destroy the recognition process between tumor cells and the immune system by DNA methylation and histone modifications, which decrease the expression of critical molecules in the immunoreaction process, thereby resulting in disrupting the immune recognition and the failure of immunotherapy (<xref ref-type="bibr" rid="B196">Zang et al., 2018</xref>). Currently, many epigenetic inhibitors, including histone deacetylase inhibitors (HDACI), vorinostat (<xref ref-type="bibr" rid="B73">Lee et al., 2012</xref>) and valproic acid (<xref ref-type="bibr" rid="B150">Su et al., 2011</xref>), or DNA methyltransferase (DNMT) inhibitors, 5-aza-20-deoxycytidine (<xref ref-type="bibr" rid="B41">Garcia-Manero et al., 2006</xref>), have entered clinical trials either individually or in combination with TMZ for GBM. Thus, the combination of epigenetic drugs and tumor immunotherapy is a promising trend for developing cancer therapy. LncRNAs are critical epigenetic regulators with critical roles in cancer widely participating in epigenetic modification. For instance, Pastori et al. used Helicos single-molecule sequencing to comprehensively profile differentially expressed lncRNAs in GBM, and a subset of GBM-specific lncRNAs regulated by bromodomain and extraterminal (BET) proteins were identified. Treatment of GBM cells with the BET bromodomain inhibitor I-BET151 attenuated oncogenic lncRNA HOTAIR and revitalized a variety of other GBMs decreased lncRNA expression (<xref ref-type="bibr" rid="B119">Pastori et al., 2015</xref>).</p>
</sec>
</sec>
<sec id="s5">
<title>5 Clinical Potential of lncRNAs in GBM</title>
<p>To date, surgical resection is the only likely curative strategy for low-grade glioma, while GBM in the late stage is largely incurable. Thus, new biomarkers and therapeutic targets are urgently required for advancing the diagnosis and clinical therapy of GBM. Here, we summarized the dysregulated lncRNAs in GBM and introduced the diagnostic and prognostic potential of lncRNAs in GBM.</p>
<sec id="s5-1">
<title>5.1 Aberrant Expression of lncRNAs in GBM</title>
<p>Ever since the discovery of lncRNA in fetal liver tissue in 1990 (<xref ref-type="bibr" rid="B9">Brannan et al., 1990b</xref>), aberrant lncRNA biogenesis has been reportedly observed in the pathogenesis of a variety of diseases, including GBM. In GBM, Mu et al. implemented high-throughput RNA sequencing in three fresh GBM patient specimens and three normal brain tissues from craniocerebral trauma patients and identified that 183 lncRNAs were significantly dysregulated in glioma (<xref ref-type="bibr" rid="B113">Mu et al., 2020</xref>). Among the highly expressed lncRNAs, BCYRN1 was recognized to be the most highly expressed in GBM, and further functional studies demonstrated that BCYRN1 significantly promotes GBM cell proliferation and migration (<xref ref-type="bibr" rid="B113">Mu et al., 2020</xref>). Li et al. characterized 247 immune-correlated lncRNAs from 529 low-grade glioma samples and five nontumor brain tissue samples in TCGA public database. Cox regression analysis demonstrated that 16 immune-related lncRNA expressions are correlated with the prognosis in low-grade glioma patients (<xref ref-type="bibr" rid="B77">Li and Meng, 2019</xref>). As shown in <xref ref-type="table" rid="T1">Table 1</xref>, we summarized the dysregulated lncRNAs in glioma and their unique biological significance in glioma occurrence and malignant development. Given the relatively easier examination of lncRNA in GBM patient serum through biopsy, dysregulated lncRNAs may hold the potential to serve as biomarkers to offer a handy and cheap approach for GBM early diagnosis and prognosis. However, to our best knowledge, lncRNA has not been applied in GBM early diagnosis and prognosis at present, highlighting that there is an urgent need to identify more lncRNAs that could steady serve as biomarkers used in GBM clinical diagnosis and prognosis.</p>
</sec>
<sec id="s5-2">
<title>5.2 LncRNAs Used as Circulatory Biomarkers</title>
<p>To date, the diagnosis of GBM mainly relies on magnetic resonance imaging. In addition, compared with biopsy of focal tumor lesions, liquid biopsy is noninvasive, therefore, being an ideal diagnostic strategy. Several other tumor-associated lncRNAs can be detected in the body fluid (<xref ref-type="bibr" rid="B60">Huang et al., 2020a</xref>). As shown in <xref ref-type="fig" rid="F5">Figure 5</xref> and <xref ref-type="table" rid="T2">Table 2</xref>, five lncRNAs were detected to be highly expressed in the serum of GBM patients. For instance, <xref ref-type="bibr" rid="B153">Tan et al. (2018)</xref> reported that the serum levels of HOTAIR were markedly higher in GBM patients than in low-grade glioma, with a sensitivity of 86% and specificity of 88%. <xref ref-type="bibr" rid="B13">Cao et al. (2016)</xref> showed that the expression of MALAT1 was significantly increased in glioma specimens than in noncancerous brain tissues and MALAT1 expression markedly correlated with glioma grades. Importantly, serum levels of MALAT1 have also been applied in various types of cancer diagnosis and prognosis (<xref ref-type="bibr" rid="B32">Duan et al., 2016</xref>; <xref ref-type="bibr" rid="B201">Zhang et al., 2017c</xref>). Zhang et al. proposed that GBM cells remodel the tumor microenvironment by enhancing tumor TMZ-resistance through secreting the oncogenic lncSBF2-AS1&#x2013;enriched exosomes. Therefore, exosomal lncSBF2-AS1 in human serum may act as a possible diagnostic marker for therapy-refractory GBM (<xref ref-type="bibr" rid="B205">Zhang et al., 2019</xref>). Clinically, high serum levels of lncSBF2-AS1 in exosomes were found to be correlated with worse responses to TMZ treatment in patients with GBM. Shen et al. also uncovered GAS5 expression levels in serum samples from 106 GBM patients. The results showed that high GAS5 expression in level is linked to a decreased likelihood of death, recurrence, and progression (<xref ref-type="bibr" rid="B139">Shen et al., 2018</xref>). Moreover, Sun et al. revealed that lncRNA-ANRIL expression levels were remarkably higher in GBM patient serum than in healthy people. The expression of lncRNA-ANRIL was inversely correlated with GBM patient clinical outcomes. Inhibition of lncRNA-ANRIL suppressed GBM cell invasion and avoided cellular apoptosis (<xref ref-type="bibr" rid="B152">Sun et al., 2021</xref>). All of these data suggest that serum levels of HOTAIR, MALAT1, lncSBF2-AS1, GAS5, lncRNA-ANRIL, and several unidentified lncRNAs have great potential to act as biomarkers utilized for glioma diagnosis and prognosis (<xref ref-type="fig" rid="F5">Figure 5</xref> and <xref ref-type="table" rid="T2">Table 2</xref>). However, it is worth mentioning that multiple alternative biomarkers have been proposed and investigated. Nevertheless, clinical trials and prospective validations are required before those can be regarded as clinically viable serum biomarkers for GBM.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>LncRNAs used in GBM patient diagnosis and prognosis.</p>
</caption>
<graphic xlink:href="fcell-10-846864-g005.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Serum lncRNAs used for diagnosis and prognosis of GBM patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Serum lncRNAs</th>
<th align="center">Prognosis value</th>
<th align="center">Reference</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">HOTAIR</td>
<td align="left">Highly expressed in serum level and higher HOTAIR expression associated with worse survival of GBM patients</td>
<td align="left">
<xref ref-type="bibr" rid="B153">Tan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">MALAT1</td>
<td align="left">Highly expressed in serum level and higher MALAT1 expression associated with TMZ resistance</td>
<td align="left">
<xref ref-type="bibr" rid="B13">Cao et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">lncSBF2-AS1</td>
<td align="left">Highly expressed in serum level</td>
<td align="left">
<xref ref-type="bibr" rid="B205">Zhang et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">GAS5</td>
<td align="left">Highly expressed in serum level and high GAS5 expression associated with recurrence and progression of GBM patients</td>
<td align="left">
<xref ref-type="bibr" rid="B139">Shen et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">lncRNA-ANRIL</td>
<td align="left">Highly expressed in serum level and higher ANRIL expression inversely associated with GBM patients&#x2019; prognosis</td>
<td align="left">
<xref ref-type="bibr" rid="B152">Sun et al. (2021)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s5-3">
<title>5.3 Diagnostic Potentials of lncRNAs in GBM</title>
<p>As previously summarized in <xref ref-type="table" rid="T1">Table 1</xref>, a large number of lncRNAs, abnormally expressed in glioma as compared with a normal brain, can be used to distinguish glioma patients from healthy cohorts. However, some of those lncRNAs were also documented to be dysregulated in other cancers, such as lung cancer and liver cancer, leading to decreased reliability. Therefore, lncRNAs in combination with other biomarkers, especially the well-known glioma prognostic biomarker, isocitrate dehydrogenase (<xref ref-type="bibr" rid="B52">Hartmann et al., 2009</xref>), is more possible to be a favorably diagnostic biomarker instead of evaluating lncRNAs alone. The valuable significance of lncRNAs used in GBM diagnosis and prognosis goes by the fact that lncRNAs are characterized by tissue- and cell-specific expression in a variety of tumors. As previously mentioned, a vast majority of lncRNAs are deregulated in GBM compared with normal brain tissue, which is of clinical significance for the early diagnosis and prognosis of GBM patients. Wang et al. identified 1997 annotated ncRNAs by performing high-throughput microarray in 220 human glioma tissues and found that the expression of HOXA11-AS was dramatically increased in classical and mesenchymal subtype glioma than that in neural and proneural subtypes, indicating that HOXA11-AS holds great potential to act as a useful biomarker for classifying glioma subtypes (<xref ref-type="bibr" rid="B169">Wang et al., 2016a</xref>).</p>
<p>To date, surgical resection is the only likely curative strategy for low-grade glioma, while GBM in the late stage is largely incurable. Thus, new biomarkers and therapeutic targets are urgently required for advancing the diagnosis and clinical therapy of GBM. Ever since the discovery of lncRNA in fetal liver tissue in 1990 (<xref ref-type="bibr" rid="B9">Brannan et al., 1990b</xref>), aberrant lncRNA biogenesis has been reported to be observed in the pathogenesis of a variety of diseases, including GBM. In GBM, Mu et al. implemented high-throughput RNA sequencing in three fresh GBM patient specimens and three normal brain tissues from craniocerebral trauma patients and identified that 183 lncRNAs were significantly dysregulated in glioma (<xref ref-type="bibr" rid="B113">Mu et al., 2020</xref>). Among the highly expressed lncRNAs, BCYRN1 was recognized to be the most highly expressed in GBM, and further functional studies demonstrated that BCYRN1 significantly promotes GBM cell proliferation and migration (<xref ref-type="bibr" rid="B113">Mu et al., 2020</xref>). Li et al. characterized 247 immune-correlated lncRNAs from 529 low-grade glioma samples and five nontumor brain tissue samples in TCGA public database. Cox regression analysis demonstrated that 16 immune-related lncRNA expressions are correlated with the prognosis in low-grade glioma patients (<xref ref-type="bibr" rid="B77">Li and Meng, 2019</xref>). As shown in <xref ref-type="table" rid="T1">Table 1</xref>, we summarized the dysregulated lncRNAs in glioma and their unique biological significance in glioma occurrence and malignant development. Given the relatively easier examination of lncRNA in GBM patient serum through biopsy, dysregulated lncRNAs may hold the potential to serve as biomarkers to offer a handy and cheap approach for GBM early diagnosis and prognosis. However, to our best knowledge, lncRNA has not been applied in GBM early diagnosis and prognosis at present, highlighting that there is an urgent need to identify more lncRNAs that could steadily serve as biomarkers used in GBM clinical diagnosis and prognosis.</p>
</sec>
<sec id="s5-4">
<title>5.4 Therapeutic Potentials of lncRNAs in GBM</title>
<p>At present, the prognosis of GBM is extremely poor, partially owing to the lack of a therapeutic target. Recently, many studies demonstrated that novel therapeutics targeting lncRNAs are fairly effective in inducing suppression in a variety of tumor types. For example, <xref ref-type="bibr" rid="B88">Liu et al. (2020d)</xref> revealed that inhibiting lncRNA AGPG using antisense oligonucleotides (ASO) significantly restrained tumor growth in lung patient&#x2013;derived xenograft (PDX) models. <xref ref-type="bibr" rid="B181">Xiu et al. (2019)</xref> recognized that ASO specifically targets LINC02273 dramatically repressed breast cancer invasion and metastasis <italic>in vivo</italic>. <xref ref-type="bibr" rid="B48">Han et al. (2020c)</xref> reported that targeting circLONP2 using ASO substantially inhibits colorectal carcinoma cell invasive ability. These studies revealed that targeting lncRNAs is a new strategy to promote the next generation of cancer therapeutics to advance cancer treatment. However, few efforts have been devoted to the application of ASO-targeted lncRNAs in GBM therapeutic at present (<xref ref-type="bibr" rid="B6">Bennett, 2019</xref>; <xref ref-type="bibr" rid="B137">Scoles et al., 2019</xref>). The abnormal lncRNA expression level in the specimens of clinical glioma is associated with tumor grades and differentiation status, and both of them have valuable clinical significance in the diagnosis and sub-classification of glioma (<xref ref-type="bibr" rid="B149">Stupp et al., 2009</xref>) and prognostication (<xref ref-type="bibr" rid="B134">Rutenberg-Schoenberg et al., 2016</xref>; <xref ref-type="bibr" rid="B146">Slack and Chinnaiyan, 2019</xref>). Given that GBM is intracranial, the blood&#x2013;brain barrier (BBB) consists of a specific barrier for drug delivery. The lack of relevant investigation might be attributed to the fact that it is difficult to cross the BBB for lncRNAs. Therefore, chemical modifications of ASO that enable them to counteract the BBB are urgently required for advancing GBM therapy and are of paramount clinical significance to overcome this deadly disease.</p>
<p>A variety of lncRNAs have been documented to play critical roles in the initiation and progression of GBM, which can be utilized as targets for targeted therapy for GBM patients. At present, emerging strategies, including ASOs, locked nucleic acids (LNAs), peptide nucleic acids (PNAs), and morpholino oligonucleotides, have been applied in targeting lncRNAs (<xref ref-type="bibr" rid="B96">Liu et al., 2018</xref>; <xref ref-type="bibr" rid="B138">Shahzad et al., 2021</xref>). ASOs are single-stranded oligonucleotides with complementary sequences to the target RNAs and repress target RNA biological function by directly binding with partners, which can be used to target mRNAs, miRNAs, lncRNAs, circRNAs, and piRNAs and can be delivered naked without using vehicle delivery (<xref ref-type="bibr" rid="B171">Wang et al., 2019c</xref>; <xref ref-type="bibr" rid="B123">Petrescu et al., 2019</xref>). As shown in <xref ref-type="table" rid="T3">Table 3</xref>, ASOs have been documented to execute profound effects in suppressing MALAT1 expression and attenuate GBM cell metastasis and proliferation <italic>in vivo</italic> (<xref ref-type="bibr" rid="B164">Wan et al., 2014</xref>). Morpholinos (MO) are 25-nt nonionic DNA analogs that hybridize to the cognate site of target RNA and trigger target RNA degradation. As revealed by Lu et al., MO delivered <italic>via</italic> nanoparticles to target lncRNA DANCR in a human ovarian cancer xenograft model convincingly inducing strong repression of tumor growth. However, to the best of our knowledge, there are no studies on the MO used in targeting lncRNA, suggesting that there is an urgent need to apply those advancing strategies in target crucial lncRNAs promoted GBM progression to validate the clinical applications of these lncRNAs in GBM patients. As mentioned in <xref ref-type="fig" rid="F2">Figure 2D</xref>, circRNA E-cadherin is overexpressed in GBM and promotes glioma stem cell tumorigenicity by encoding a small peptide, namely, C-E-Cad. Notably, the inhibition of C-E-Cad exhibits the dramatically antitumor activity <italic>via</italic> suppressing EGFR signaling in GBM (<xref ref-type="bibr" rid="B39">Gao et al., 2021</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>LncRNAs potentially used for targeted therapy for GBM patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Targeted lncRNAs</th>
<th align="center">Strategy</th>
<th align="center">Therapeutic effects</th>
<th align="center">Reference</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">MALAT1</td>
<td align="left">ASO</td>
<td align="left">Suppressing GBM cell metastasis and proliferation</td>
<td align="left">
<xref ref-type="bibr" rid="B164">Wan et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="left">circRNA E-cadherin</td>
<td align="left">Monoclonal antibody</td>
<td align="left">Suppressing GSC tumorigenicity</td>
<td align="left">
<xref ref-type="bibr" rid="B39">Gao et al. (2021)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Apart from directly targeting lncRNAs, regulating blood&#x2013;tumor barrier (BTB) permeability is another way to target GBM. The BTB is a structure that comprises vascular endothelial cells, basement membrane, and glioma cells, which have the capacity to seriously impede the entry of drugs into the tumor microenvironment, leading to extremely unfavorable drug efficacy and worse patient prognosis (<xref ref-type="bibr" rid="B74">Letrado et al., 2018</xref>; <xref ref-type="bibr" rid="B162">Vogelbaum, 2018</xref>). Given that lncRNAs participate extensively in the malignant progression of GBM, the majority of these lncRNAs are uniquely and differentially expressed in GBM compared to their corresponding normal tissues (<xref ref-type="bibr" rid="B76">Li et al., 2018</xref>). Thus, characterizing compounds or other inhibitors target lncRNAs that influence BBB permeability to enhance chemotherapy and increase drug efficacy is one of the research directions for GBM-targeted therapy. Li et al. revealed that targeting HOTAIR enhances BTB permeability by decreasing miR-148b-3p, leading to a decrease in the expression of GBM-microvascular endothelial cell tight junction by targeting USF1 (<xref ref-type="bibr" rid="B135">Sa et al., 2017</xref>). Moreover, BTB permeability was shown to be augmented by silencing LINC00174 (<xref ref-type="bibr" rid="B141">Shi et al., 2019b</xref>), FBXL19-AS1 (<xref ref-type="bibr" rid="B95">Liu et al., 2020e</xref>), and lnc00462717 (<xref ref-type="bibr" rid="B165">Wang et al., 2017</xref>) in glioma tissue. Overcoming the obstacle of the BTB to increase the local concentration of chemotherapeutic agents in glioma and thereby increasing therapeutic efficacy is a promising strategy. Therefore, characterizing more appropriate therapeutic targets has been a major concern.</p>
</sec>
</sec>
<sec id="s6">
<title>Conclusion and Perspective</title>
<p>GBM is one of the most devastating diseases globally. Therefore, a better understanding of the molecular basis of the initiation and progression of GBM is of great significance to the development of new therapies for patients with GBM. LncRNAs have been well-established to play essential roles in gene regulation and multiple disease initiation and progression. Based on the current knowledge, significant progress has been achieved in characterizing lncRNAs and in deciphering their biological function and clinical potential in GBM occurrence and development over the previous decades. In addition, a variety of lncRNAs were found to function as indispensable factors in the tumorigenesis and progression of GBM. However, several fundamental questions remain to be addressed in the future. First, thousands of characterized lncRNAs have been documented to play key roles in the regulation of gene expression and execute diverse biological activities in a wide range of tumor types at present (<xref ref-type="bibr" rid="B28">Deveson et al., 2017</xref>; <xref ref-type="bibr" rid="B56">Hu et al., 2018b</xref>), and numerous lncRNAs have been reported to play integral roles in the initiation and development of GBM malignancy, including sustaining stemness, uncontrolled proliferation, invasion, abnormal angiogenesis, and resistance to conventional therapeutics (<xref ref-type="bibr" rid="B122">Peng et al., 2018b</xref>). However, among the annotated lncRNAs, only a small proportion of lncRNAs have been functionally recognized, and only a very small proportion of lncRNA-related studies shed new insights into lncRNA biological functions in the initiation and progression of GBM, such as encoding micro-peptides associated with GBM progression, alterations in the processes or structure of proteins, and precisely regulating the tumorigenesis, have not yet been fully understood in GBM pathogenesis (<xref ref-type="bibr" rid="B45">Gibb et al., 2011</xref>; <xref ref-type="bibr" rid="B20">Chen and Shen, 2020</xref>; <xref ref-type="bibr" rid="B89">Liu et al., 2020f</xref>; <xref ref-type="bibr" rid="B195">Yuan et al., 2020</xref>). Targeting those oncogenic drivers of GBM may achieve new progress of GBM clinical therapy. Thus, there is still a long way to translate basic scientific discoveries into clinical therapeutics for GBM patients. In addition, given that the dysregulation of lncRNAs and easy detection of lncRNAs through biopsy have great potential to provide novel insight into predictive and prognostic biomarkers for GBM, there is an urgent need to decode those dysregulated lncRNA functions and translate them into biomarkers for glioma patient diagnosis and prognosis.</p>
<p>Second, ceRNA regulatory networks were typically highlighted in the vast majority of GBM-related lncRNA studies, highlighting that it is important to illustrate the functional principles of lncRNAs in GBM. This implies that the current view of the functional role of lncRNAs <italic>via</italic> competition for miRNAs between RNAs is too simplistic and is essentially required to decode the complicated function by deciphering the other binding partner, such as protein or DNA. In addition, many dysregulated lncRNAs in GBM and the underlying molecular mechanisms still need to be further investigated. Given that lncRNAs primarily execute their functions through binding with other biomolecules, including DNA, RNA, and protein; the senior biological structures of the binding domains are of particular significance. We expect that further studies may be centered on uncovering lncRNA-binding motifs, which could generate more novel RNA-based targets in the development of new therapeutics for cancer treatment.</p>
<p>Third, at present, the therapeutic approaches based on lncRNA structures remain limited in application for the relatively poor stability of lncRNAs. Exosome delivery systems hold the potential to dramatically increase the bioavailability by preserving the integrity of macromolecules, and the engineering of ligand-dependent exosome membranes that specifically target brain tissues is also drawing great interest, leading to targeted therapy being more efficient and specific. It is worth noting that the BBB consists of a specific barrier for drug delivery. Therefore, it is of great significance to develop new drug delivery systems that embody lncRNAs or other compounds that have the capacity to cross the BBB for GBM clinical therapeutics.</p>
<p>Fourth, diverse cancer cells within the same tumors present dramatic genetical and phenotypical distinctions, namely, intratumor heterogeneity. Intratumor heterogeneity is considered an important contributor to glioma progression and therapeutic resistance (<xref ref-type="bibr" rid="B43">Gerlinger et al., 2012</xref>). So far, most studies of ceRNA regulation have been performed at a cell-population level. It remains to be elucidated how ceRNA crosstalk differs from cell to cell in a genetically identical or genetically heterogenous population. It also remains unknown how ceRNA regulatory networks rewire during tumor evolution and contribute to the therapeutic resistance mechanism of a cancer cell. By combining the powerful single-cell techniques (<xref ref-type="bibr" rid="B26">Dalerba et al., 2011</xref>; <xref ref-type="bibr" rid="B128">Ramsk&#xf6;ld et al., 2012</xref>; <xref ref-type="bibr" rid="B176">Wang et al., 2016b</xref>), bioinformatics, and mathematical modeling approaches, we may be able to open a new avenue on how lncRNA crosstalk contributes to glioma heterogeneity, which can further boost the clinical implications of lncRNAs.</p>
<p>Herein, we summarize the functional roles of emerging lncRNAs and their underlying mechanisms in the initiation and progression of GBM. Finally, we describe the potential application of lncRNAs in GBM as diagnostic and prognostic biomarkers, as well as the potential therapeutic target of developing lncRNA-targeted therapy.</p>
</sec>
</body>
<back>
<sec id="s7">
<title>Author Contributions</title>
<p>KL wrote the manuscript and drew the figures. LJ and YL edited and wrote the manuscript. HC and YW made corrections to the manuscript. All the authors read and approved the final version of the manuscript.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This study was supported in part by grants from the National Natural Science Foundation of China (Grant No. 81960551) and the Natural Science Foundation of Yunnan Province (Grant Nos 2016FA038). LJ was also supported by the National Nature Science Foundation of China (81802802) and Yunnan Applied Basic Research Projects (2019FB106).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ack>
<p>We apologize to those colleagues whose work was not able to be included in this review due to space limitations.</p>
</ack>
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<sec id="s11">
<title>Glossary</title>
<def-list>
<def-item>
<term id="G1-fcell.2022.846864">
<bold>GBM</bold>
</term>
<def>
<p>Glioblastoma</p>
</def>
</def-item>
<def-item>
<term id="G2-fcell.2022.846864">
<bold>TMZ</bold>
</term>
<def>
<p>Temozolomide</p>
</def>
</def-item>
<def-item>
<term id="G3-fcell.2022.846864">
<bold>ncRNAs</bold>
</term>
<def>
<p>Noncoding RNAs</p>
</def>
</def-item>
<def-item>
<term id="G4-fcell.2022.846864">
<bold>lincRNAs</bold>
</term>
<def>
<p>Intergenic lncRNAs</p>
</def>
</def-item>
<def-item>
<term id="G5-fcell.2022.846864">
<bold>circRNAs</bold>
</term>
<def>
<p>Circular Intronic RNAs</p>
</def>
</def-item>
<def-item>
<term id="G6-fcell.2022.846864">
<bold>ceRNA</bold>
</term>
<def>
<p>Competitive endogenous RNA</p>
</def>
</def-item>
<def-item>
<term id="G7-fcell.2022.846864">
<bold>RBP</bold>
</term>
<def>
<p>RNA-binding protein</p>
</def>
</def-item>
<def-item>
<term id="G8-fcell.2022.846864">
<bold>FOXM1-AS</bold>
</term>
<def>
<p>A long noncoding RNA antisense to FOXM1</p>
</def>
</def-item>
<def-item>
<term id="G9-fcell.2022.846864">
<bold>sORFs</bold>
</term>
<def>
<p>Open reading frames</p>
</def>
</def-item>
<def-item>
<term id="G10-fcell.2022.846864">
<bold>GSC</bold>
</term>
<def>
<p>Glioma stem cell</p>
</def>
</def-item>
<def-item>
<term id="G11-fcell.2022.846864">
<bold>MGMT</bold>
</term>
<def>
<p>O-6-methylguanine-DNA methyltransferase</p>
</def>
</def-item>
<def-item>
<term id="G12-fcell.2022.846864">
<bold>GECs</bold>
</term>
<def>
<p>Glioma-associated endothelial cells</p>
</def>
</def-item>
<def-item>
<term id="G13-fcell.2022.846864">
<bold>CXCR7</bold>
</term>
<def>
<p>Chemokine receptor 7b</p>
</def>
</def-item>
<def-item>
<term id="G14-fcell.2022.846864">
<bold>ASO</bold>
</term>
<def>
<p>Antisense oligonucleotides</p>
</def>
</def-item>
<def-item>
<term id="G15-fcell.2022.846864">
<bold>PDX</bold>
</term>
<def>
<p>Patient-derived xenograft</p>
</def>
</def-item>
<def-item>
<term id="G16-fcell.2022.846864">
<bold>BBB</bold>
</term>
<def>
<p>Blood&#x2013;brain barrier</p>
</def>
</def-item>
<def-item>
<term id="G17-fcell.2022.846864">
<bold>LNAs</bold>
</term>
<def>
<p>Locked nucleic acids</p>
</def>
</def-item>
<def-item>
<term id="G18-fcell.2022.846864">
<bold>PNAs</bold>
</term>
<def>
<p>Peptide nucleic acids</p>
</def>
</def-item>
<def-item>
<term id="G19-fcell.2022.846864">
<bold>MO</bold>
</term>
<def>
<p>Morpholinos</p>
</def>
</def-item>
<def-item>
<term id="G20-fcell.2022.846864">
<bold>BTB</bold>
</term>
<def>
<p>Blood-tumor barrier</p>
</def>
</def-item>
<def-item>
<term id="G21-fcell.2022.846864">
<bold>XIST</bold>
</term>
<def>
<p>X inactive specific transcript</p>
</def>
</def-item>
<def-item>
<term id="G22-fcell.2022.846864">
<bold>SOX2</bold>
</term>
<def>
<p>SRY-box transcription factor 2</p>
</def>
</def-item>
<def-item>
<term id="G23-fcell.2022.846864">
<bold>HIF-1&#x3b1;</bold>
</term>
<def>
<p>Hypoxia-inducible factor 1</p>
</def>
</def-item>
<def-item>
<term id="G24-fcell.2022.846864">
<bold>PDIA3P1</bold>
</term>
<def>
<p>Protein disulfide isomerase family A member 3 Pseudogene 1</p>
</def>
</def-item>
<def-item>
<term id="G25-fcell.2022.846864">
<bold>TF</bold>
</term>
<def>
<p>Transcription factor</p>
</def>
</def-item>
<def-item>
<term id="G26-fcell.2022.846864">
<bold>SWINGN</bold>
</term>
<def>
<p>SWI/SNF interacting GAS6 enhancer noncoding RNA</p>
</def>
</def-item>
<def-item>
<term id="G27-fcell.2022.846864">
<bold>SMARCB1</bold>
</term>
<def>
<p>SWI/SNF-related, matrix-associated, actin-dependent regulator of chromatin, subfamily b, member 1</p>
</def>
</def-item>
<def-item>
<term id="G28-fcell.2022.846864">
<bold>HOTAIRM1</bold>
</term>
<def>
<p>HOXA transcript antisense RNA, myeloid-specific 1</p>
</def>
</def-item>
<def-item>
<term id="G29-fcell.2022.846864">
<bold>STAT1</bold>
</term>
<def>
<p>Signal transducer and activator of transcription 1</p>
</def>
</def-item>
<def-item>
<term id="G30-fcell.2022.846864">
<bold>RPL36</bold>
</term>
<def>
<p>Ribosomal protein</p>
</def>
</def-item>
<def-item>
<term id="G31-fcell.2022.846864">
<bold>SNHG4</bold>
</term>
<def>
<p>Small nucleolar RNA host gene 4</p>
</def>
</def-item>
<def-item>
<term id="G32-fcell.2022.846864">
<bold>SNHG15</bold>
</term>
<def>
<p>Small nucleolar RNA host gene 15</p>
</def>
</def-item>
<def-item>
<term id="G33-fcell.2022.846864">
<bold>c-Met</bold>
</term>
<def>
<p>MET proto-oncogene, receptor tyrosine kinase</p>
</def>
</def-item>
<def-item>
<term id="G34-fcell.2022.846864">
<bold>GAPLINC</bold>
</term>
<def>
<p>Gastric Adenocarcinoma&#x2013;associated, positive CD44 regulator, long intergenic noncoding RNA</p>
</def>
</def-item>
<def-item>
<term id="G35-fcell.2022.846864">
<bold>MALAT1</bold>
</term>
<def>
<p>Metastasis-associated lung adenocarcinoma transcript 1</p>
</def>
</def-item>
<def-item>
<term id="G36-fcell.2022.846864">
<bold>ZHX1</bold>
</term>
<def>
<p>Zinc fingers and homeoboxes 1</p>
</def>
</def-item>
<def-item>
<term id="G37-fcell.2022.846864">
<bold>BCYRN1</bold>
</term>
<def>
<p>Brain cytoplasmic RNA 1</p>
</def>
</def-item>
<def-item>
<term id="G38-fcell.2022.846864">
<bold>CUEDC2</bold>
</term>
<def>
<p>CUE domain containing 2</p>
</def>
</def-item>
<def-item>
<term id="G39-fcell.2022.846864">
<bold>PTEN</bold>
</term>
<def>
<p>Phosphatase and tensin homolog</p>
</def>
</def-item>
<def-item>
<term id="G40-fcell.2022.846864">
<bold>ADAMTS9-AS2</bold>
</term>
<def>
<p>ADAM metallopeptidase with thrombospondin type 1 motif 9 antisense RNA 2</p>
</def>
</def-item>
<def-item>
<term id="G41-fcell.2022.846864">
<bold>AKT1</bold>
</term>
<def>
<p>AKT serine/threonine kinase 1</p>
</def>
</def-item>
<def-item>
<term id="G42-fcell.2022.846864">
<bold>TUG1</bold>
</term>
<def>
<p>Taurine upregulated 1</p>
</def>
</def-item>
<def-item>
<term id="G43-fcell.2022.846864">
<bold>Notch1</bold>
</term>
<def>
<p>Notch receptor 1</p>
</def>
</def-item>
<def-item>
<term id="G44-fcell.2022.846864">
<bold>MATN1-AS1</bold>
</term>
<def>
<p>MATN1 antisense RNA 1</p>
</def>
<def>
<p>MATN1 antisense RNA 1</p>
</def>
</def-item>
<def-item>
<term id="G45-fcell.2022.846864">
<bold>E2F6</bold>
</term>
<def>
<p>E2F transcription factor 6</p>
</def>
</def-item>
<def-item>
<term id="G46-fcell.2022.846864">
<bold>p21</bold>
</term>
<def>
<p>Cyclin-dependent kinase inhibitor 1A</p>
</def>
</def-item>
<def-item>
<term id="G47-fcell.2022.846864">
<bold>DLGAP1-AS2</bold>
</term>
<def>
<p>DLGAP1 antisense RNA 2</p>
</def>
</def-item>
<def-item>
<term id="G48-fcell.2022.846864">
<bold>EMT</bold>
</term>
<def>
<p>Epithelial-mesenchymal transition</p>
</def>
</def-item>
<def-item>
<term id="G49-fcell.2022.846864">
<bold>YAP1</bold>
</term>
<def>
<p>Yes1-associated transcriptional regulator</p>
</def>
</def-item>
<def-item>
<term id="G50-fcell.2022.846864">
<bold>ST7-AS1</bold>
</term>
<def>
<p>ST7 antisense RNA 1</p>
</def>
</def-item>
<def-item>
<term id="G51-fcell.2022.846864">
<bold>ZNF596</bold>
</term>
<def>
<p>Zinc finger protein 596</p>
</def>
</def-item>
<def-item>
<term id="G52-fcell.2022.846864">
<bold>EZH2</bold>
</term>
<def>
<p>Enhancer of Zeste 2 polycomb repressive complex 2 subunit</p>
</def>
</def-item>
<def-item>
<term id="G53-fcell.2022.846864">
<bold>STAT3</bold>
</term>
<def>
<p>Signal transducer and activator of transcription 3</p>
</def>
</def-item>
<def-item>
<term id="G54-fcell.2022.846864">
<bold>ALKBH5</bold>
</term>
<def>
<p>AlkB homolog 5</p>
</def>
</def-item>
<def-item>
<term id="G55-fcell.2022.846864">
<bold>FOXM1</bold>
</term>
<def>
<p>Forkhead box M1</p>
</def>
</def-item>
<def-item>
<term id="G56-fcell.2022.846864">
<bold>EGFR</bold>
</term>
<def>
<p>Epidermal growth factor receptor</p>
</def>
</def-item>
<def-item>
<term id="G57-fcell.2022.846864">
<bold>LINC-PINT</bold>
</term>
<def>
<p>Long intergenic non-protein coding RNA, p53 induced transcript</p>
</def>
</def-item>
<def-item>
<term id="G58-fcell.2022.846864">
<bold>PAF1</bold>
</term>
<def>
<p>Paf1/RNA polymerase II complex component 1</p>
</def>
</def-item>
<def-item>
<term id="G59-fcell.2022.846864">
<bold>ZEB1</bold>
</term>
<def>
<p>Zinc finger E-box&#x2013;binding homeobox 1</p>
</def>
</def-item>
<def-item>
<term id="G60-fcell.2022.846864">
<bold>HMGB1</bold>
</term>
<def>
<p>High mobility group box 1</p>
</def>
</def-item>
<def-item>
<term id="G61-fcell.2022.846864">
<bold>HOTAIR</bold>
</term>
<def>
<p>HOX transcript antisense RNA</p>
</def>
<def>
<p>HOX transcript antisense RNA</p>
</def>
</def-item>
<def-item>
<term id="G62-fcell.2022.846864">
<bold>NNT-AS1</bold>
</term>
<def>
<p>NNT antisense RNA 1</p>
</def>
</def-item>
<def-item>
<term id="G63-fcell.2022.846864">
<bold>PRMT1</bold>
</term>
<def>
<p>Protein arginine methyltransferase 1</p>
</def>
</def-item>
<def-item>
<term id="G64-fcell.2022.846864">
<bold>ECONEXIN</bold>
</term>
<def>
<p>long intergenic nonprotein coding RNA 461</p>
</def>
</def-item>
<def-item>
<term id="G65-fcell.2022.846864">
<bold>TOP2A</bold>
</term>
<def>
<p>DNA topoisomerase II alpha</p>
</def>
</def-item>
<def-item>
<term id="G66-fcell.2022.846864">
<bold>MATN1-AS1</bold>
</term>
<def>
<p>MATN1 antisense RNA 1</p>
</def>
<def>
<p>MATN1 antisense RNA 1</p>
</def>
</def-item>
<def-item>
<term id="G67-fcell.2022.846864">
<bold>ROR1-AS1</bold>
</term>
<def>
<p>ROR1 antisense RNA 1</p>
</def>
<def>
<p>ROR1 antisense RNA 1</p>
</def>
</def-item>
<def-item>
<term id="G68-fcell.2022.846864">
<bold>LEF1-AS1</bold>
</term>
<def>
<p>LEF1 antisense RNA 1</p>
</def>
</def-item>
<def-item>
<term id="G69-fcell.2022.846864">
<bold>lncRNA-ATB</bold>
</term>
<def>
<p>lncRNA activated by TGF-beta</p>
</def>
</def-item>
<def-item>
<term id="G70-fcell.2022.846864">
<bold>BMP4</bold>
</term>
<def>
<p>Bone morphogenetic protein 4</p>
</def>
</def-item>
<def-item>
<term id="G71-fcell.2022.846864">
<bold>NEAT1</bold>
</term>
<def>
<p>Nuclear paraspeckle assembly transcript 1</p>
</def>
</def-item>
<def-item>
<term id="G72-fcell.2022.846864">
<bold>PAXIP1AS1</bold>
</term>
<def>
<p>PAXIP1 divergent transcript</p>
</def>
</def-item>
<def-item>
<term id="G73-fcell.2022.846864">
<bold>KLF14</bold>
</term>
<def>
<p>Kruppel-like factor 14</p>
</def>
</def-item>
<def-item>
<term id="G74-fcell.2022.846864">
<bold>Sox2OT</bold>
</term>
<def>
<p>SOX2 overlapping transcript</p>
</def>
</def-item>
<def-item>
<term id="G75-fcell.2022.846864">
<bold>RCC</bold>
</term>
<def>
<p>Renal cell carcinoma</p>
</def>
</def-item>
<def-item>
<term id="G76-fcell.2022.846864">
<bold>HDACI</bold>
</term>
<def>
<p>Histone deacetylase inhibitors</p>
</def>
</def-item>
<def-item>
<term id="G77-fcell.2022.846864">
<bold>DNMT</bold>
</term>
<def>
<p>DNA methyltransferase</p>
</def>
</def-item>
<def-item>
<term id="G78-fcell.2022.846864">
<bold>BET</bold>
</term>
<def>
<p>Bromodomain and extraterminal</p>
</def>
</def-item>
<def-item>
<term id="G79-fcell.2022.846864">
<bold>PCGEM1</bold>
</term>
<def>
<p>Prostate-specific transcript</p>
</def>
</def-item>
<def-item>
<term id="G80-fcell.2022.846864">
<bold>HNAR</bold>
</term>
<def>
<p>Ribosomal protein L13a pseudogene 20</p>
</def>
</def-item>
<def-item>
<term id="G81-fcell.2022.846864">
<bold>ZFPM2-AS1</bold>
</term>
<def>
<p>ZFPM2 antisense RNA 1</p>
</def>
</def-item>
<def-item>
<term id="G82-fcell.2022.846864">
<bold>NFIA-AS2</bold>
</term>
<def>
<p>NFIA antisense RNA 2</p>
</def>
</def-item>
<def-item>
<term id="G83-fcell.2022.846864">
<bold>GAS5</bold>
</term>
<def>
<p>Growth arrest&#x2013;specific 5</p>
</def>
<def>
<p>Growth arrest&#x2013;specific 5</p>
</def>
</def-item>
<def-item>
<term id="G84-fcell.2022.846864">HOTAIR</term>
<def>
<p>HOX transcript antisense RNA</p>
</def>
<def>
<p>HOX transcript antisense RNA</p>
</def>
</def-item>
<def-item>
<term id="G85-fcell.2022.846864">
<bold>DC</bold>
</term>
<def>
<p>Dendritic cells</p>
</def>
</def-item>
<def-item>
<term id="G86-fcell.2022.846864">
<bold>KCNQ1OT1</bold>
</term>
<def>
<p>KCNQ1 opposite strand/antisense transcript 1</p>
</def>
</def-item>
<def-item>
<term id="G87-fcell.2022.846864">
<bold>AHIF</bold>
</term>
<def>
<p>Antisense transcript of hypoxia-inducible factor-1&#x3b1;</p>
</def>
</def-item>
<def-item>
<term id="G88-fcell.2022.846864">
<bold>SP1</bold>
</term>
<def>
<p>Sp1 transcription factor</p>
</def>
</def-item>
<def-item>
<term id="G89-fcell.2022.846864">
<bold>CASC2</bold>
</term>
<def>
<p>Cancer susceptibility 2</p>
</def>
</def-item>
<def-item>
<term id="G90-fcell.2022.846864">
<bold>TP73-AS1</bold>
</term>
<def>
<p>TP73 antisense RNA 1</p>
</def>
</def-item>
<def-item>
<term id="G91-fcell.2022.846864">
<bold>CDK6</bold>
</term>
<def>
<p>Cyclin-dependent kinase 6</p>
</def>
</def-item>
<def-item>
<term id="G92-fcell.2022.846864">
<bold>H19</bold>
</term>
<def>
<p>H19 imprinted maternally expressed transcript</p>
</def>
</def-item>
<def-item>
<term id="G93-fcell.2022.846864">
<bold>VASH2</bold>
</term>
<def>
<p>Vasohibin 2</p>
</def>
</def-item>
<def-item>
<term id="G94-fcell.2022.846864">
<bold>HULC</bold>
</term>
<def>
<p>Hepatocellular carcinoma upregulated long noncoding RNA</p>
</def>
</def-item>
<def-item>
<term id="G95-fcell.2022.846864">
<bold>PI3K</bold>
</term>
<def>
<p>PI3K phosphatidylinositol 3-kinase</p>
</def>
</def-item>
<def-item>
<term id="G96-fcell.2022.846864">
<bold>mTOR</bold>
</term>
<def>
<p>Mechanistic target of rapamycin kinase</p>
</def>
</def-item>
<def-item>
<term id="G97-fcell.2022.846864">
<bold>NKILA</bold>
</term>
<def>
<p>NF-&#x3ba;B-interacting long noncoding RNA</p>
</def>
</def-item>
<def-item>
<term id="G98-fcell.2022.846864">
<bold>ZNF655</bold>
</term>
<def>
<p>Zinc finger protein 655</p>
</def>
</def-item>
<def-item>
<term id="G99-fcell.2022.846864">
<bold>USP44</bold>
</term>
<def>
<p>Ubiquitin-specific peptidase 44</p>
</def>
</def-item>
<def-item>
<term id="G100-fcell.2022.846864">
<bold>PD-L1</bold>
</term>
<def>
<p>Programmed cell death 1 ligand 1</p>
</def>
</def-item>
<def-item>
<term id="G101-fcell.2022.846864">
<bold>TIM-3</bold>
</term>
<def>
<p>Hepatitis A virus cellular receptor 2</p>
</def>
</def-item>
<def-item>
<term id="G102-fcell.2022.846864">
<bold>ROR1-AS1</bold>
</term>
<def>
<p>ROR1 antisense RNA 1</p>
</def>
<def>
<p>ROR1 antisense RNA 1</p>
</def>
</def-item>
<def-item>
<term id="G103-fcell.2022.846864">
<bold>TCGA</bold>
</term>
<def>
<p>The Cancer Genome Atlas</p>
</def>
</def-item>
<def-item>
<term id="G104-fcell.2022.846864">
<bold>HOXA11-AS</bold>
</term>
<def>
<p>HOXA11 antisense RNA</p>
</def>
</def-item>
<def-item>
<term id="G105-fcell.2022.846864">
<bold>CCND2-AS1</bold>
</term>
<def>
<p>CCND2 antisense RNA 1</p>
</def>
</def-item>
<def-item>
<term id="G106-fcell.2022.846864">
<bold>GAS5</bold>
</term>
<def>
<p>Growth arrest&#x2013;specific 5</p>
</def>
<def>
<p>Growth arrest&#x2013;specific 5</p>
</def>
</def-item>
<def-item>
<term id="G107-fcell.2022.846864">
<bold>ANRIL</bold>
</term>
<def>
<p>CDKN2B antisense RNA 1</p>
</def>
</def-item>
<def-item>
<term id="G108-fcell.2022.846864">
<bold>DANCR</bold>
</term>
<def>
<p>Differentiation antagonizing nonprotein coding RNA</p>
</def>
</def-item>
<def-item>
<term id="G109-fcell.2022.846864">
<bold>FBXL19-AS1</bold>
</term>
<def>
<p>FBXL19 antisense RNA 1</p>
</def>
</def-item>
</def-list>
</sec>
</back>
</article>