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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">789296</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2021.789296</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Identification of a Pyroptosis-Related Gene Signature for Predicting Overall Survival and Response to Immunotherapy in Hepatocellular Carcinoma</article-title>
<alt-title alt-title-type="left-running-head">Zheng et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Prognostic Signature for HCC</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Susu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xie</surname>
<given-names>Xiaoying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Xinkun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Yanfang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Guobin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Xiaochun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Meixia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xue</surname>
<given-names>Tongchun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1279757/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Boheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1183811/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Department of Hepatic Oncology, Xiamen Branch, Zhongshan Hospital, Fudan University, <addr-line>Xiamen</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Key Laboratory for Carcinogenesis and Cancer Invasion, The Chinese Ministry of Education, Zhongshan Hospital and Shanghai Medical School, The Liver Cancer Institute, Fudan University, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Center for Evidence-based Medicine, Shanghai Medical School, Fudan University, <addr-line>Shanghai</addr-line>, <country>China</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/33042/overview">Peng Jiang</ext-link>, Cleveland State University, United&#x20;States</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/1036865/overview">Eleonora Lusito</ext-link>, San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/915062/overview">Qianqian Song</ext-link>, Wake Forest Baptist Medical Center, United&#x20;States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Tongchun Xue, <email>xue.tongchun@zs-hospital.sh.cn</email>; Boheng Zhang, <email>zhang.boheng@zs-hospital.sh.cn</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Computational Genomics, a section of the journal Frontiers in Genetics</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>789296</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>10</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Zheng, Xie, Guo, Wu, Chen, Chen, Wang, Xue and Zhang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Zheng, Xie, Guo, Wu, Chen, Chen, Wang, Xue and Zhang</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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>Pyroptosis is a novel kind of cellular necrosis and shown to be involved in cancer progression. However, the diverse expression, prognosis and associations with immune status of pyroptosis-related genes in Hepatocellular carcinoma (HCC) have yet to be analyzed. Herein, the expression profiles and corresponding clinical characteristics of HCC samples were collected from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Then a pyroptosis-related gene signature was built by applying the least absolute shrinkage and selection operator (LASSO) Cox regression model from the TCGA cohort, while the GEO datasets were applied for verification. Twenty-four pyroptosis-related genes were found to be differentially expressed between HCC and normal samples. A five pyroptosis-related gene signature (GSDME, CASP8, SCAF11, NOD2, CASP6) was constructed according to LASSO Cox regression model. Patients in the low-risk group had better survival rates than those in the high-risk group. The risk score was proved to be an independent prognostic factor for overall survival (OS). The risk score correlated with immune infiltrations and immunotherapy responses. GSEA indicated that endocytosis, ubiquitin mediated proteolysis and regulation of autophagy were enriched in the high-risk group, while drug metabolism cytochrome P450 and tryptophan metabolism were enriched in the low-risk group. In conclusion, our pyroptosis-related gene signature can be used for survival prediction and may also predict the response of immunotherapy.</p>
</abstract>
<kwd-group>
<kwd>pyroptosis</kwd>
<kwd>hepatocellular carcinoma</kwd>
<kwd>prognosis</kwd>
<kwd>immune infiltrates</kwd>
<kwd>immune checkpoint inhibitors</kwd>
</kwd-group>
<contract-num rid="cn001">3502Z20191105</contract-num>
<contract-sponsor id="cn001">Xiamen Municipal Bureau of Science and Technology<named-content content-type="fundref-id">10.13039/100010166</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Hepatocellular carcinoma (HCC) accounts for the majority type of primary liver cancer and is the sixth most common and fourth deadly malignancy globally (<xref ref-type="bibr" rid="B2">Bray et&#x20;al., 2018</xref>). Liver resection or transplantation is still the first choice for radical cure, while only a small portion of patients fit the bill. As a matter of fact, more than 70% of the patients are already at a middle-to-late stage when first diagnosed. Despite the improvement of several new treatments such as immunotherapy and target therapy, the 5&#xa0;years survival rate has remained less than 20% (<xref ref-type="bibr" rid="B1">Allemani et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B11">Katsanos et&#x20;al., 2017</xref>). Thus, it is of great importance to develop novel therapeutic targets and reliable prognostic models for medical decision making.</p>
<p>Pyroptosis, a novel defined programmed cell death, is characterized by the cleavage of gasdermins and the subsequent cell membrane ruptures and necrotic cell death (<xref ref-type="bibr" rid="B18">Rogers et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B21">Shi et&#x20;al., 2017</xref>). Pyroptosis was involved in innate immunity and initially found to play a crucial part in fighting against infection (<xref ref-type="bibr" rid="B20">Shao et&#x20;al., 2021</xref>). However, increasing evidences have suggested that pyroptosis also takes part in cancer development (<xref ref-type="bibr" rid="B8">Fang et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B24">Tan et&#x20;al., 2020</xref>). Deletion of NLRP3 (one of the key components of pyroptosis) in transgenic mice was found to be correlated with colon cancer development (<xref ref-type="bibr" rid="B7">Dupaul-Chicoine et&#x20;al., 2010</xref>). NLRP3 inflammasome may also drive liver injury and fibrosis and may contribute to the development of liver cancer (<xref ref-type="bibr" rid="B26">Wree et&#x20;al., 2018</xref>). More recently, the pyroptosis-related gene signatures for ovarian cancer and lung cancer has been proved to be prognostic (<xref ref-type="bibr" rid="B15">Lin et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B30">Ye et&#x20;al., 2021</xref>). Interestingly, pyroptosis-induced inflammation was found to synergize with anti-PD1 therapy through triggering antitumour immunity (<xref ref-type="bibr" rid="B25">Wang et&#x20;al., 2020</xref>). In HCC, pyroptosis was proved to be restrained in HCC tissues and cells, small molecule drugs such as berberine, euxanthone and miltirone may induce HCC cell death through triggering pyroptosis (<xref ref-type="bibr" rid="B5">Chu et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B4">Chen et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B32">Zhang et&#x20;al., 2020a</xref>). However, the role of different pytoptosis-related genes in HCC has not been reported. Here, we explored the diverse expression, prognosis, associations with immune status and response to immunotherapy of pytoptosis-related genes in&#x20;HCC.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Data Source and Pyroptosis-Related Genes Definition</title>
<p>RNA sequencing data (fragment per kilobase million, FPKM) of 374 HCC patients and their corresponding clinical features were collected from the TCGA database (<ext-link ext-link-type="uri" xlink:href="https://portal.gdc.cancer.gov/repository">https://portal.gdc.cancer.gov/repository</ext-link>). Besides, another 438 tumor samples from three cohorts were obtained from the Gene Expression Omnibus (GEO) database (<ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/geo/">https://www.ncbi.nlm.nih.gov/geo/</ext-link>), including 242 samples of GSE14520, 115 samples of GSE76427, and 81 samples of GSE54236. The &#x201c;limma&#x201d; and &#x201c;sva&#x201d; package of R software was used for data normalization between the TCGA and GEO datasets as previously described (<xref ref-type="bibr" rid="B10">Gautier et&#x20;al., 2004</xref>; <xref ref-type="bibr" rid="B14">Leek et&#x20;al., 2012</xref>). All the data used in the present study was collected from public databases. It was then confirmed that all written informed consent was obtained. This research was approved by the Ethics Committee of Xiamen Branch, Zhongshan Hospital. According to prior studies, 33&#x20;pyroptosis-related genes were obtained (<xref ref-type="bibr" rid="B15">Lin et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B30">Ye et&#x20;al., 2021</xref>). However, the expression data of NLRP6 and PLCG1 were not found in the GEO datasets. Finally, 31&#x20;pyroptosis-related genes were adopted for further analysis (See <xref ref-type="sec" rid="s11">Supplementary Table&#x20;S1</xref>).</p>
</sec>
<sec id="s2-2">
<title>Development and Validation of a Prognostic Pyroptosis-Related Gene Signature</title>
<p>Differentially expressed genes (DEGs) between non-tumor tissues and HCC tissues were identified by the &#x201c;limma&#x201d; R package with a false discovery rate (FDR) &#x3c; 0.05. Then the Univariate Cox analysis was adopted to find out the prognostic related genes (<italic>p</italic>&#x20;&#x3c; 0.05). DEGs with prognostic value were further analyzed by the LASSO Cox regression model with &#x201c;glmnet&#x201d; R package (<xref ref-type="bibr" rid="B22">Simon et&#x20;al., 2011</xref>). Finally, a five pyroptosis-related gene signature was conducted. The risk score of each patient was calculated according to the pyroptosis-related gene expression level and its regression coefficient. HCC patients from the TCGA cohort were then divided into low-risk and high-risk groups according to the median risk score. Survival analysis and predictive accuracy were conducted by the &#x201c;survminer&#x201d; and &#x201c;timeROC&#x201d; R package. According to the same median risk score from the TCGA cohort, the GEO cohort was also divided into low-risk and high-risk groups for further validation. Clinical characteristics of the TCGA cohort (age, gender, tumor grade, tumor stage) and GEO cohort (gender), as well as the risk score were collected for univariate and multivariable Cox regression models to identify the independent prognostic factor. The proportional hazard assumption test was also conducted.</p>
</sec>
<sec id="s2-3">
<title>Functional Enrichment Analysis</title>
<p>Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted by gene set enrichment analysis (GSEA) according to the DEGs between the high- and low-risk&#x20;group.</p>
</sec>
<sec id="s2-4">
<title>Tumor Microenvironment and Immunophenoscore (IPS) Analysis</title>
<p>Single-sample gene set enrichment analysis (ssGSEA) was applied to explore the relationship between the risk score and immune cells, as well as immune-related pathways. Immunophenogram of the Cancer Immunome database (TCIA, <ext-link ext-link-type="uri" xlink:href="https://tcia.at/home">https://tcia.at/home</ext-link>) was used for evaluating response to immune checkpoint inhibitors (ICIs) (<xref ref-type="bibr" rid="B3">Charoentong et&#x20;al., 2017</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>DEGs Between HCC Tissues and Non-tumor Tissues</title>
<p>Expression data of 50 normal tissues and 374 HCC tissues were collected from the TCGA HCC cohort. And the expression of 31&#x20;pyroptosis-related genes were compared between these two groups. Finally, a total of 24 DEGs were obtained. The detailed information of selecting DEGs were shown in <xref ref-type="sec" rid="s11">Supplementary Table S2</xref>. The expression levels and <italic>p</italic> values of difference between the 31 genes were shown in <xref ref-type="fig" rid="F1">Figure&#x20;1A</xref> and <xref ref-type="fig" rid="F1">Figure&#x20;1B</xref>. The correlations between these genes were shown in <xref ref-type="fig" rid="F1">Figure&#x20;1C</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The transcription levels of 31&#x20;pyroptosis-related genes and the interactions among them <bold>(A)</bold> The transcription levels of 31&#x20;pyroptosis-related genes between tumor and normal tissues were shown in a heatmap <bold>(B)</bold> The transcription levels of 31&#x20;pyroptosis-related genes between tumor and normal tissues were shown in a box plot <bold>(C)</bold> The correlations between the pyroptosis-related genes (<italic>p</italic> values were represented as: ns not significant; &#x2a;<italic>p</italic>&#x20;&#x3c; 0.05; &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.01; &#x2a;&#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.001.).</p>
</caption>
<graphic xlink:href="fgene-12-789296-g001.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>HCC Subtypes Based on the DEGs</title>
<p>The 24 DEGs were next applied to stratify TCGA HCC patients into different subtypes by performing consensus clustering analysis. When the clustering variable (kappa) was defined as 2, the TCGA HCC patients were then divided into two subtypes (<xref ref-type="fig" rid="F2">Figure&#x20;2A</xref>). The correlations between gene expressions and clinical features such as tumor stage, tumor grade, gender and survival status were shown in a heatmap. No significant differences were found between the two groups (<xref ref-type="fig" rid="F2">Figure&#x20;2B</xref>). Interestingly, there was a tendency for better overall survival time in cluster one group, but the difference was not statistically significant (<xref ref-type="fig" rid="F2">Figure&#x20;2C</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Identification of tumor subtypes based on the pyroptosis-related DEGs <bold>(A)</bold> Two clusters were identified according to the best consensus matrix (k &#x3d; 2) <bold>(B)</bold> The correlations between the pyroptosis-related DEGs and clinicopathologic characters of the two clusters were shown as a heatmap <bold>(C)</bold> The overall survival between the two clusters.</p>
</caption>
<graphic xlink:href="fgene-12-789296-g002.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>Construction of a Prognostic Model in the TCGA Cohort</title>
<p>The survival-related genes were selected by the univariate Cox regression analysis from the 24 DEGs (<xref ref-type="fig" rid="F3">Figure&#x20;3A</xref>). Eight genes (GSDME, CASP8, SCAF11, NOD2, CASP6, CASP3, NOD1 and NLRP3) were further analyzed by LASSO-Cox regression analysis. Finally, a 5-gene signature was constructed according to the optimum <italic>&#x3bb;</italic> value. The risk score was defined as follows: risk score&#x3d; (0.1042&#x2a;GSDME exp.) &#x2b; (0.0471&#x2a;CASP8 exp.) &#x2b; (0.0344&#x2a;SCAF11 exp.) &#x2b; (0.1619&#x2a;NOD2 exp.) &#x2b; (0.0003&#x2a;CASP6 exp.) (<xref ref-type="fig" rid="F3">Figure&#x20;3</xref> B/C). According to the median cut-off value, the TCGA cohort was divided into the low-risk and high-risk groups (<xref ref-type="fig" rid="F4">Figure&#x20;4A</xref>). Survival analysis indicated that the low-risk group had better overall survival (<italic>p</italic>&#x20;&#x3c; 0.001, <xref ref-type="fig" rid="F4">Figure&#x20;4B</xref>). Time-dependent receiver operating characteristic (ROC) curves were adopted for testing the accuracy of the prognostic model, and the area under the curve (AUC) was 0.676 for 1&#xa0;year, 0.614 for 3&#xa0;years, and 0.575 for 5&#xa0;years (<xref ref-type="fig" rid="F4">Figure&#x20;4C</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Construction of a LASSO regression model <bold>(A)</bold> Univariate cox regression analysis identified the prognostic related genes <bold>(B)</bold> LASSO regression of the eight prognostic genes <bold>(C)</bold> Cross-validation of the LASSO regression.</p>
</caption>
<graphic xlink:href="fgene-12-789296-g003.tif"/>
</fig>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Construction and validation of the pyroptosis-related gene signature <bold>(A)</bold> Patients divided by the median risk score in the TCGA cohort <bold>(B)</bold> Survival analysis between the high-risk and low-risk groups in the TCGA cohort <bold>(C)</bold> ROC curves indicated the accuracy of the prognostic model in the TCGA cohort <bold>(D)</bold> Patients divided by the median risk score in the GEO cohort <bold>(E)</bold> Survival analysis between the high-risk and low-risk groups in the GEO cohort <bold>(F)</bold> ROC curves indicated the accuracy of the prognostic model in the GEO cohort.</p>
</caption>
<graphic xlink:href="fgene-12-789296-g004.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>Validation of the Prognostic Model in the GEO Cohort</title>
<p>HCC patients from three GEO datasets were applied for the validation of the risk model. The gene expression data were normalized as previously described before analysis. The baseline characteristics of the patients finally included were shown in <xref ref-type="sec" rid="s11">Supplementary Table S3</xref>. According to the median risk score from the TCGA cohort, patients from the GEO cohort were also divided into the low-risk and high-risk groups (<xref ref-type="fig" rid="F4">Figure&#x20;4D</xref>). Similar to the TCGA cohort, Kaplan&#x2013;Meier analysis indicated that the low-risk group had better overall survival than the high-risk group (<italic>p</italic>&#x20;&#x3c; 0.01, <xref ref-type="fig" rid="F4">Figure&#x20;4E</xref>). The AUC was 0.609 for 1&#xa0;year, 0.599 for 3&#xa0;years, and 0.617 for 5&#xa0;years (<xref ref-type="fig" rid="F4">Figure&#x20;4F</xref>).</p>
</sec>
<sec id="s3-5">
<title>Independent Prognostic Value of the Gene Signature</title>
<p>Univariate and multivariable Cox regression analyses were adopted for evaluating the independent prognostic value of the risk score derived from the gene signature.The univariate Cox regression analysis showed that the risk score was a risk factor for OS in both the TCGA and GEO cohorts (TCGA cohort: HR &#x3d;&#x20;4.108, 95% CI &#x3d; 2.141&#x2013;7.883, <italic>p</italic>&#x20;&#x3c; 0.001; GEO cohort: HR &#x3d; 3.633, 95% CI &#x3d; 1.702&#x2013;7.756, <italic>p</italic>&#x20;&#x3c; 0.001; <xref ref-type="fig" rid="F5">Figure&#x20;5</xref> A/B). By multivariable Cox regression analysis, our results showed that the risk score was an independent prognostic factor for OS in both the TCGA and GEO cohorts (TCGA cohort: HR &#x3d; 3.717, 95% CI &#x3d; 1.862&#x2013;7.420, <italic>p</italic>&#x20;&#x3c; 0.001; GEO cohort: HR &#x3d; 3.667, 95% CI &#x3d; 1.716&#x2013;7.834, <italic>p</italic>&#x20;&#x3c; 0.001; <xref ref-type="fig" rid="F5">Figure&#x20;5</xref> C/D). Moreover, the results of the proportional hazard assumption test showed that our model fitted well (For TCGA model, <italic>p</italic> value &#x3d; 0.3054, chi2 &#x3d; 6.01; For GEO model, <italic>p</italic> value &#x3d; 0.4658, chi2 &#x3d;&#x20;1.53).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>The independent prognostic value of the risk score <bold>(A)</bold> Univariate cox regression analysis for the TCGA cohort <bold>(B)</bold> Univariate cox regression analysis for the GEO cohort <bold>(C)</bold> Multivariate cox regression analysis for the TCGA cohort <bold>(D)</bold> Multivariate cox regression analysis for the GEO cohort.</p>
</caption>
<graphic xlink:href="fgene-12-789296-g005.tif"/>
</fig>
</sec>
<sec id="s3-6">
<title>Functional Enrichment Analysis Based on the Risk Score</title>
<p>GSEA was conducted by using the TCGA data and 50 most significantly enriched KEGG pathways were identified. The endocytosis, ubiquitin mediated proteolysis and regulation of autophagy pathways were enriched in the high-risk group. While drug metabolism cytochrome P450, fatty acid metabolism and tryptophan metabolism pathways were enriched in the low-risk group (<xref ref-type="fig" rid="F6">Figure&#x20;6</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>GSEA analysis identified enriched KEGG pathways. The top five enriched KEGG pathways in the high-risk and low-risk groups.</p>
</caption>
<graphic xlink:href="fgene-12-789296-g006.tif"/>
</fig>
</sec>
<sec id="s3-7">
<title>Immune Status and Prediction of Response to ICIs</title>
<p>We further explored the association between risk score and immune status. By ssGSEA, we analyzed the enrichment scores of different immune cells and immune-related pathways. As shown in <xref ref-type="fig" rid="F7">Figures 7A&#x2013;D</xref>, the levels of infiltration of aDCs, macrophages and Treg were elevated in the high-risk group both in the TCGA and GEO cohorts, while the CCR pathway and MHC class I pathway were also activated in the high-risk group both in the TCGA and GEO cohorts. IPS has been regarded as a well predictor for response of immunotherapy in prior studies (<xref ref-type="bibr" rid="B3">Charoentong et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B29">Yang et&#x20;al., 2019</xref>). Here, we evaluated the scores of IPS, IPS-PD1 blocker, IPS-PD1/CTLA4 blocker and IPS-CTLA4 blocker. As shown in <xref ref-type="fig" rid="F8">Figure&#x20;8</xref> A/B/C/D, the scores of the above four groups were all elevated in the low-risk group, indicating that the low-risk patients may have a better response to ICIs. Besides, the correlations between risk score and common immune checkpoints including PD1, CTLA-4, LAG-3 and TIGHT were also calculated. The results showed that the expression of PD1, CTLA-4, LAG-3 and TIGHT were elevated in the high-risk group (<xref ref-type="fig" rid="F8">Figure&#x20;8E</xref>). These results also indicated that the low-risk patients may have a better response to&#x20;ICIs.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Immune status between the high-risk and low-risk groups analyzed by ssGSEA <bold>(A,B)</bold> Immune cells and immune-related pathways between the high-risk and low-risk groups in the TCGA cohort <bold>(C,D)</bold> Immune cells and immune-related pathways between the high-risk and low-risk groups in the GEO cohort (<italic>p</italic> values were represented as: ns not significant; &#x2a;<italic>p</italic>&#x20;&#x3c; 0.05; &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.01; &#x2a;&#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.001.)</p>
</caption>
<graphic xlink:href="fgene-12-789296-g007.tif"/>
</fig>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>IPS analysis and correlations between risk score and common immune checkpoints <bold>(A&#x2013;D)</bold> Comparison of the scores of IPS-CTLA4 blocker, IPS-PD1 blocker, IPS-PD1/CTLA4 blocker and IPS between different risk groups <bold>(E)</bold> Correlations between risk score and PD1, CTLA4, LAG3 and TIGIT.</p>
</caption>
<graphic xlink:href="fgene-12-789296-g008.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Pyroptosis is a novel kind of cellular necrosis, characterized by releasing huge amount of inflammatory factors and the formation of bubble-like morphology. It has been suggested to have both tumor protecting and promoting roles. More recently, researchers have focused on the induction of pyroptosis in tumor cells, which may be a novel therapeutic target (<xref ref-type="bibr" rid="B27">Xia et&#x20;al., 2019</xref>). The pyroptosis-related genes have been proved to be prognostic in both ovarian cancer and lung cancer. However, the diverse roles of pyroptosis-related genes in HCC have yet to be analyzed.</p>
<p>For the first time, we explored the expression and prognostic roles of pyroptosis-related genes in HCC. Our results indicated that 24 genes were differentially expressed between the HCC tissues and normal tissues. A gene signature containing five pyroptosis-related genes (GSDME, CASP8, SCAF11, NOD2, CASP6) could well predict OS in HCC patients. The risk score generated from the gene signature was shown to be an independent risk factor for poor prognosis. Similar to our results, prior studies have also proved the prognostic roles of pyroptosis-related genes in lung cancer and ovarian cancer (<xref ref-type="bibr" rid="B15">Lin et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B30">Ye et&#x20;al., 2021</xref>).</p>
<p>GSDME, also known as deafness autosomal dominant 5 (DFNA5), one of the genes from our gene signature, was first identified for its involvement in inherited hearing impairment (<xref ref-type="bibr" rid="B13">Van Laer et&#x20;al., 1998</xref>). GSDME was one of the core executors in cell pyroptosis. GSDME was cleaved by caspase-3 into pore-formation of GSDME-N domain, which triggered pyroptosis in cells (<xref ref-type="bibr" rid="B18">Rogers et&#x20;al., 2017</xref>). GSDME was originally identified as a tumor suppressor because its expression was downregulated in breast cancer and reduced GSDME was associated with poor survival of breast cancer patients (<xref ref-type="bibr" rid="B12">Kim et&#x20;al., 2008</xref>). However, GSDME was also found to be overexpressed in head and neck squamous cell carcinoma, lung squamous cell carcinoma and cholangiocarcinoma. Overexpression of GSDME was associated with poor survival of head and neck squamous cell carcinoma (<xref ref-type="bibr" rid="B17">Liu et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B34">Zhang et&#x20;al., 2021</xref>). Hence, GSDME may play different roles in different types of cancer. In this study, our result showed that GSDME may play a tumor promoting role in HCC. Though, small molecule drugs such as cannabidiol and miltirone may induce HCC cell death through GSDME-mediated pyroptosis (<xref ref-type="bibr" rid="B33">Zhang et&#x20;al., 2020b</xref>; <xref ref-type="bibr" rid="B19">Shangguan et&#x20;al., 2021</xref>), non-cleavable or pore-defective GSDME was also proved to be not tumor suppressing (<xref ref-type="bibr" rid="B32">Zhang et&#x20;al., 2020a</xref>). The detailed role of GSDME in HCC are worthy of further exploring.</p>
<p>NOD2, another gene from our gene signature, is reported to promote inflammation and apoptosis. It has been indicated that NOD2 can contribute to myocardial ischemia/reperfusion injury through inducing cardiomyocyte apoptosis and inflammation (<xref ref-type="bibr" rid="B16">Liu et&#x20;al., 2016</xref>). Emerging evidence has been found between NOD2 and human cancers. NOD2 was found to be prognostic in kidney cancer (<xref ref-type="bibr" rid="B28">Xu et&#x20;al., 2017</xref>). NOD2 was also proved to be upregulated and activated in HCC samples, overexpression of NOD2 correlated with poor survival. Mechanically, NOD2 increased liver inflammation via inducing the nuclear autophagy pathway (<xref ref-type="bibr" rid="B37">Zhou et&#x20;al., 2021</xref>). Similar to their results, our results showed that NOD2 was elevated in HCC tissues and correlated with poor survival.</p>
<p>By GSEA analysis, our results indicated that endocytosis, ubiquitin mediated proteolysis and regulation of autophagy were enriched in the high-risk group, which indicated stronger protein metabolism in the high-risk group. We speculated the hypermetabolic behavior in the high-risk group may lead to high malignancy and poor prognosis, which needed to be elucidated in further studies. In order to explore the correlations between risk score and immune cell infiltration in tumor, ssGSEA was adopted. Generally speaking, the high abundance of Treg contributes to immunosuppression and poor survival (<xref ref-type="bibr" rid="B36">Zhou et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B31">Zhang et&#x20;al., 2019</xref>). What&#x2019;s more, macrophages, especially the tumor associated macrophages are mainly M2 macrophages, which are shown to be tumor promoting (<xref ref-type="bibr" rid="B6">Deng et&#x20;al., 2021</xref>). Here, in this study, our results showed that macrophages and Treg were enriched in the high-risk group and patients in the high-risk group also had poor prognosis. Although, our ssGSEA results seemed not always to be consistent, it was acceptable from an overall perspective.</p>
<p>Immunotherapy of ICIs has become an inspiring treatment for various of advanced cancers including HCC. Recently, results from the study of KEYNOTE-240 also proved the value of pembrolizumab as second-line therapy in patients with advanced HCC(<xref ref-type="bibr" rid="B9">Finn et&#x20;al., 2020</xref>). However, not all HCC patients can benefit from the ICIs therapy. It is worthy selecting patients who may benefit from immunotherapy. In this study, we explored the relationship between IPS and risk score. The results suggested that the low-risk group had higher IPS scores, IPS-PD1 blocker scores, IPS-PD1/CTLA4 blocker scores and IPS-CTLA4 blocker scores, indicating the possibility of applying the risk score to predict response of immunotherapy. Besides, we also investigated the relationship between risk score and common immune checkpoints including PD1, CTLA-4, LAG-3 and TIGHT. Our results showed that the expressions of PD1, CTLA-4, LAG-3 and TIGHT were elevated in the high-risk group which also indicated that the low-risk patients may have a better response to ICIs. Thus, our predictive model may be helpful for selecting patients in clinical practice.</p>
<p>Nevertheless, our study had some limitations. As all the data included for analysis were retrieved from online databases, further <italic>in vivo</italic>/vitro studies are still needed to verify these findings. Besides, we did not explore the post-translational modifications of these genes, as post-translational modifications were of great importance for controlling intracellular signal transduction and cell functions. What&#x2019;s more, the detailed signal pathways for these genes affecting clinical survival deserved to be investigated in future studies. Last but not least, with the development of single-cell RNA-seq (scRNA-seq) technique, we are now able to focusing on the specific types of cells which mainly express the pyroptosis-related genes (<xref ref-type="bibr" rid="B35">Zhao et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B23">Song et&#x20;al., 2021</xref>). This would be certainly more meaningful for us to understand the HCC microenvironment. Till now, few single-cell studies have explored the role of pyroptosis in HCC, it is a promising research direction for our future&#x20;study.</p>
<p>In conclusion, we systemically explored the expression, predictive signaling pathways, prognosis and associations with immune infiltration of pyroptosis-related genes in patients with HCC. Our research gives new insights regarding the roles of pyroptosis-related genes to HCC and may be helpful for selecting patients in clinical practice.</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Data Availability Statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="sec" rid="s11">Supplementary Material</xref>.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by The Ethics Committee of Xiamen Branch, Zhongshan Hospital. The patients/participants provided their written informed consent to participate in this&#x20;study.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>BZ and TX contributed to the study design and critical revision of the manuscript. SZ, XX, and XG carried out the study and drafted the manuscript. GC, XC, YW, and MW analyzed the data. All authors read and approved the final manuscript.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This research was supported by grants from the Medical and Health Project of Xiamen City (Key Project, No. 3502Z20191105).</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>
<sec id="s11">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fgene.2021.789296/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fgene.2021.789296/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table2.XLSX" id="SM1" mimetype="application/XLSX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table3.XLSX" id="SM2" mimetype="application/XLSX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table1.XLSX" id="SM3" mimetype="application/XLSX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Allemani</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Weir</surname>
<given-names>H. K.</given-names>
</name>
<name>
<surname>Carreira</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Harewood</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Spika</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>X.-S.</given-names>
</name>
<etal/>
</person-group> (<year>2015</year>). <article-title>Global Surveillance of Cancer Survival 1995-2009: Analysis of Individual Data for 25&#x20;676 887 Patients from 279&#x20;Population-Based Registries in 67 Countries (CONCORD-2)</article-title>. <source>The Lancet</source> <volume>385</volume>, <fpage>977</fpage>&#x2013;<lpage>1010</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(14)62038-9</pub-id> </citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bray</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Ferlay</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Soerjomataram</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Siegel</surname>
<given-names>R. L.</given-names>
</name>
<name>
<surname>Torre</surname>
<given-names>L. A.</given-names>
</name>
<name>
<surname>Jemal</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Global Cancer Statistics 2018: Globocan Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries</article-title>. <source>CA: A Cancer J.&#x20;Clinicians</source> <volume>68</volume>, <fpage>394</fpage>&#x2013;<lpage>424</lpage>. <pub-id pub-id-type="doi">10.3322/caac.21492</pub-id> </citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Charoentong</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Finotello</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Angelova</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Mayer</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Efremova</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Rieder</surname>
<given-names>D.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade</article-title>. <source>Cel Rep.</source> <volume>18</volume>, <fpage>248</fpage>&#x2013;<lpage>262</lpage>. <pub-id pub-id-type="doi">10.1016/j.celrep.2016.12.019</pub-id> </citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname>
<given-names>Y. F.</given-names>
</name>
<name>
<surname>Qi</surname>
<given-names>H. Y.</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>F. L.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Euxanthone Exhibits Anti-proliferative and Anti-invasive Activities in Hepatocellular Carcinoma by Inducing Pyroptosis: Preliminary Results</article-title>. <source>Eur. Rev. Med. Pharmacol. Sci.</source> <volume>22</volume>, <fpage>8186</fpage>&#x2013;<lpage>8196</lpage>. <pub-id pub-id-type="doi">10.26355/eurrev_201812_16511</pub-id> </citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chu</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Jiang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Du</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Tuguzbaeva</surname>
<given-names>G.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>Pyroptosis Is Involved in the Pathogenesis of Human Hepatocellular Carcinoma</article-title>. <source>Oncotarget</source> <volume>7</volume>, <fpage>84658</fpage>&#x2013;<lpage>84665</lpage>. <pub-id pub-id-type="doi">10.18632/oncotarget.12384</pub-id> </citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Deng</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>He</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Pan</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Luo</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Xia</surname>
<given-names>Q.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>The Role of Tumor-Associated Macrophages in Primary Hepatocellular Carcinoma and its Related Targeting Therapy</article-title>. <source>Int. J.&#x20;Med. Sci.</source> <volume>18</volume>, <fpage>2109</fpage>&#x2013;<lpage>2116</lpage>. <pub-id pub-id-type="doi">10.7150/ijms.56003</pub-id> </citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dupaul-Chicoine</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Yeretssian</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Doiron</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Bergstrom</surname>
<given-names>K. S. B.</given-names>
</name>
<name>
<surname>McIntire</surname>
<given-names>C. R.</given-names>
</name>
<name>
<surname>LeBlanc</surname>
<given-names>P. M.</given-names>
</name>
<etal/>
</person-group> (<year>2010</year>). <article-title>Control of Intestinal Homeostasis, Colitis, and Colitis-Associated Colorectal Cancer by the Inflammatory Caspases</article-title>. <source>Immunity</source> <volume>32</volume>, <fpage>367</fpage>&#x2013;<lpage>378</lpage>. <pub-id pub-id-type="doi">10.1016/j.immuni.2010.02.012</pub-id> </citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Tian</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Pan</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Tang</surname>
<given-names>Y.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Pyroptosis: a New Frontier in Cancer</article-title>. <source>Biomed. Pharmacother.</source> <volume>121</volume>, <fpage>109595</fpage>. <pub-id pub-id-type="doi">10.1016/j.biopha.2019.109595</pub-id> </citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Finn</surname>
<given-names>R. S.</given-names>
</name>
<name>
<surname>Ryoo</surname>
<given-names>B.-Y.</given-names>
</name>
<name>
<surname>Merle</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Kudo</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Bouattour</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Lim</surname>
<given-names>H. Y.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Pembrolizumab as Second-Line Therapy in Patients with Advanced Hepatocellular Carcinoma in Keynote-240: a Randomized, Double-Blind, Phase Iii Trial</article-title>. <source>Jco</source> <volume>38</volume>, <fpage>193</fpage>&#x2013;<lpage>202</lpage>. <pub-id pub-id-type="doi">10.1200/JCO.19.01307</pub-id> </citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gautier</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Cope</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Bolstad</surname>
<given-names>B. M.</given-names>
</name>
<name>
<surname>Irizarry</surname>
<given-names>R. A.</given-names>
</name>
</person-group> (<year>2004</year>). <article-title>Affy--analysis of Affymetrix Genechip Data at the Probe Level</article-title>. <source>Bioinformatics</source> <volume>20</volume>, <fpage>307</fpage>&#x2013;<lpage>315</lpage>. <pub-id pub-id-type="doi">10.1093/bioinformatics/btg405</pub-id> </citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Katsanos</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Kitrou</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Spiliopoulos</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Maroulis</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Petsas</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Karnabatidis</surname>
<given-names>D.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Comparative Effectiveness of Different Transarterial Embolization Therapies Alone or in Combination with Local Ablative or Adjuvant Systemic Treatments for Unresectable Hepatocellular Carcinoma: a Network Meta-Analysis of Randomized Controlled Trials</article-title>. <source>Plos One</source> <volume>12</volume>, <fpage>e0184597</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0184597</pub-id> </citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname>
<given-names>M. S.</given-names>
</name>
<name>
<surname>Lebron</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Nagpal</surname>
<given-names>J.&#x20;K.</given-names>
</name>
<name>
<surname>Chae</surname>
<given-names>Y. K.</given-names>
</name>
<name>
<surname>Chang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>Y.</given-names>
</name>
<etal/>
</person-group> (<year>2008</year>). <article-title>Methylation of the Dfna5 Increases Risk of Lymph Node Metastasis in Human Breast Cancer</article-title>. <source>Biochem. Biophysical Res. Commun.</source> <volume>370</volume>, <fpage>38</fpage>&#x2013;<lpage>43</lpage>. <pub-id pub-id-type="doi">10.1016/j.bbrc.2008.03.026</pub-id> </citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Laer</surname>
<given-names>L. V.</given-names>
</name>
<name>
<surname>Huizing</surname>
<given-names>E. H.</given-names>
</name>
<name>
<surname>Verstreken</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Zuijlen</surname>
<given-names>D. v.</given-names>
</name>
<name>
<surname>Wauters</surname>
<given-names>J.&#x20;G.</given-names>
</name>
<name>
<surname>Bossuyt</surname>
<given-names>P. J.</given-names>
</name>
<etal/>
</person-group> (<year>1998</year>). <article-title>Nonsyndromic Hearing Impairment Is Associated with a Mutation in Dfna5</article-title>. <source>Nat. Genet.</source> <volume>20</volume>, <fpage>194</fpage>&#x2013;<lpage>197</lpage>. <pub-id pub-id-type="doi">10.1038/2503</pub-id> </citation>
</ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Leek</surname>
<given-names>J.&#x20;T.</given-names>
</name>
<name>
<surname>Johnson</surname>
<given-names>W. E.</given-names>
</name>
<name>
<surname>Parker</surname>
<given-names>H. S.</given-names>
</name>
<name>
<surname>Jaffe</surname>
<given-names>A. E.</given-names>
</name>
<name>
<surname>Storey</surname>
<given-names>J.&#x20;D.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>The Sva Package for Removing Batch Effects and Other Unwanted Variation in High-Throughput Experiments</article-title>. <source>Bioinformatics</source> <volume>28</volume>, <fpage>882</fpage>&#x2013;<lpage>883</lpage>. <pub-id pub-id-type="doi">10.1093/bioinformatics/bts034</pub-id> </citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lin</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Z.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Identification of the Pyroptosis-related P-rognostic G-ene S-ignature and the A-ssociated R-egulation axis in L-ung A-denocarcinoma</article-title>. <source>Cell Death Discov.</source> <volume>7</volume>, <fpage>161</fpage>. <pub-id pub-id-type="doi">10.1038/s41420-021-00557-2</pub-id> </citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>L.-X.</given-names>
</name>
<name>
<surname>Yan</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>H.-J.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>W.-J.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>Nod2 Contributes to Myocardial Ischemia/reperfusion Injury by Regulating Cardiomyocyte Apoptosis and Inflammation</article-title>. <source>Life Sci.</source> <volume>149</volume>, <fpage>10</fpage>&#x2013;<lpage>17</lpage>. <pub-id pub-id-type="doi">10.1016/j.lfs.2016.02.039</pub-id> </citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Dong</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>Y.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Prognostic Role of Dfna5 in Head and Neck Squamous Cell Carcinoma Revealed by Systematic Expression Analysis</article-title>. <source>Bmc Cancer</source> <volume>21</volume>, <fpage>951</fpage>. <pub-id pub-id-type="doi">10.1186/s12885-021-08692-w</pub-id> </citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rogers</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Fernandes-Alnemri</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Mayes</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Alnemri</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Cingolani</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Alnemri</surname>
<given-names>E. S.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Cleavage of Dfna5 by Caspase-3 during Apoptosis Mediates Progression to Secondary Necrotic/pyroptotic Cell Death</article-title>. <source>Nat. Commun.</source> <volume>8</volume>, <fpage>14128</fpage>. <pub-id pub-id-type="doi">10.1038/ncomms14128</pub-id> </citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shangguan</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Ma</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Jin</surname>
<given-names>G.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>A Novel Mechanism of Cannabidiol in Suppressing Hepatocellular Carcinoma by Inducing Gsdme Dependent Pyroptosis</article-title>. <source>Front. Cel Dev. Biol.</source> <volume>9</volume>, <fpage>697832</fpage>. <pub-id pub-id-type="doi">10.3389/fcell.2021.697832</pub-id> </citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shao</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Fu</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Zheng</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Chai</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>The Pyroptosis-Related Signature Predicts Prognosis and Indicates Immune Microenvironment Infiltration in Gastric Cancer</article-title>. <source>Front. Cel Dev. Biol.</source> <volume>9</volume>, <fpage>676485</fpage>. <pub-id pub-id-type="doi">10.3389/fcell.2021.676485</pub-id> </citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shi</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Gao</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Shao</surname>
<given-names>F.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Pyroptosis: Gasdermin-Mediated Programmed Necrotic Cell Death</article-title>. <source>Trends Biochem. Sci.</source> <volume>42</volume>, <fpage>245</fpage>&#x2013;<lpage>254</lpage>. <pub-id pub-id-type="doi">10.1016/j.tibs.2016.10.004</pub-id> </citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Simon</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Friedman</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Hastie</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Tibshirani</surname>
<given-names>R.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Regularization Paths for Cox&#x27;s Proportional Hazards Model via Coordinate Descent</article-title>. <source>J.&#x20;Stat. Soft.</source> <volume>39</volume>, <fpage>1</fpage>&#x2013;<lpage>13</lpage>. <pub-id pub-id-type="doi">10.18637/jss.v039.i05</pub-id> </citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Song</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Su</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>W.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Scgcn Is a Graph Convolutional Networks Algorithm for Knowledge Transfer in Single Cell Omics</article-title>. <source>Nat. Commun.</source> <volume>12</volume>, <fpage>3826</fpage>. <pub-id pub-id-type="doi">10.1038/s41467-021-24172-y</pub-id> </citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tan</surname>
<given-names>Y.-F.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Z.-Y.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>X.-H.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Inhibition of Brd4 Prevents Proliferation and Epithelial-Mesenchymal Transition in Renal Cell Carcinoma via Nlrp3&#x20;Inflammasome-Induced Pyroptosis</article-title>. <source>Cell Death Dis</source> <volume>11</volume>, <fpage>239</fpage>. <pub-id pub-id-type="doi">10.1038/s41419-020-2431-2</pub-id> </citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Ding</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Gao</surname>
<given-names>W.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>A Bioorthogonal System Reveals Antitumour Immune Function of Pyroptosis</article-title>. <source>Nature</source> <volume>579</volume>, <fpage>421</fpage>&#x2013;<lpage>426</lpage>. <pub-id pub-id-type="doi">10.1038/s41586-020-2079-1</pub-id> </citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wree</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>McGeough</surname>
<given-names>M. D.</given-names>
</name>
<name>
<surname>Inzaugarat</surname>
<given-names>M. E.</given-names>
</name>
<name>
<surname>Eguchi</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Schuster</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Johnson</surname>
<given-names>C. D.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>NLRP3 Inflammasome Driven Liver Injury and Fibrosis: Roles of IL&#x2010;17 and TNF in Mice</article-title>. <source>Hepatology</source> <volume>67</volume>, <fpage>736</fpage>&#x2013;<lpage>749</lpage>. <pub-id pub-id-type="doi">10.1002/hep.29523</pub-id> </citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xia</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Cheng</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Qin</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Lei</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Jiang</surname>
<given-names>J.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>The Role of Pyroptosis in Cancer: Pro-cancer or Pro-&#x201c;host&#x201d;?</article-title> <source>Cel Death Dis</source> <volume>10</volume>, <fpage>650</fpage>. <pub-id pub-id-type="doi">10.1038/s41419-019-1883-8</pub-id> </citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Yu</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Nod2 Maybe a Biomarker for the Survival of Kidney Cancer Patients</article-title>. <source>Oncotarget</source> <volume>8</volume>, <fpage>101489</fpage>&#x2013;<lpage>101499</lpage>. <pub-id pub-id-type="doi">10.18632/oncotarget.21547</pub-id> </citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Deng</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Zheng</surname>
<given-names>Y.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Identification of a Prognostic Immune Signature for Cervical Cancer to Predict Survival and Response to Immune Checkpoint Inhibitors</article-title>. <source>Oncoimmunology</source> <volume>8</volume>, <fpage>e1659094</fpage>. <pub-id pub-id-type="doi">10.1080/2162402X.2019.1659094</pub-id> </citation>
</ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ye</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Dai</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Qi</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>A Novel Defined Pyroptosis-Related Gene Signature for Predicting the Prognosis of Ovarian Cancer</article-title>. <source>Cel Death Discov.</source> <volume>7</volume>, <fpage>71</fpage>. <pub-id pub-id-type="doi">10.1038/s41420-021-00451-x</pub-id> </citation>
</ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>He</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Luo</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Patel</surname>
<given-names>S. J.</given-names>
</name>
<name>
<surname>Han</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Gao</surname>
<given-names>R.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Landscape and Dynamics of Single Immune Cells in Hepatocellular Carcinoma</article-title>. <source>Cell</source> <volume>179</volume>, <fpage>829</fpage>&#x2013;<lpage>845</lpage>. <pub-id pub-id-type="doi">10.1016/j.cell.2019.10.003</pub-id> </citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>An</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Peng</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Tang</surname>
<given-names>W.</given-names>
</name>
<etal/>
</person-group> (<year>2020a</year>). <article-title>Miltirone Induces Cell Death in Hepatocellular Carcinoma Cell through Gsdme-dependent Pyroptosis</article-title>. <source>Acta Pharmaceutica Sinica B</source> <volume>10</volume>, <fpage>1397</fpage>&#x2013;<lpage>1413</lpage>. <pub-id pub-id-type="doi">10.1016/j.apsb.2020.06.015</pub-id> </citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Xia</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Kong</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>X.</given-names>
</name>
<etal/>
</person-group> (<year>2020b</year>). <article-title>Gasdermin e suppresses tumour growth by activating anti-tumour immunity</article-title>. <source>Nature</source> <volume>579</volume>, <fpage>415</fpage>&#x2013;<lpage>420</lpage>. <pub-id pub-id-type="doi">10.1038/s41586-020-2071-9</pub-id> </citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Zhao</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Feng</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>An</surname>
<given-names>M.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Prognostic and immunological role of gasdermin e in pan-cancer analysis</article-title>. <source>Front. Oncol.</source> <volume>11</volume>, <fpage>706266</fpage>. <pub-id pub-id-type="doi">10.3389/fonc.2021.706266</pub-id> </citation>
</ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Han</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>H.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>XJB-5-131 Inhibited Ferroptosis in Tubular Epithelial Cells after Ischemia&#x2212;reperfusion Injury</article-title>. <source>Cel Death Dis</source> <volume>11</volume>, <fpage>629</fpage>. <pub-id pub-id-type="doi">10.1038/s41419-020-02871-6</pub-id> </citation>
</ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhou</surname>
<given-names>S.-L.</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>Z.-J.</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>Z.-Q.</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>X.-W.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>E.-B.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>Tumor-associated Neutrophils Recruit Macrophages and T-Regulatory Cells to Promote Progression of Hepatocellular Carcinoma and Resistance to Sorafenib</article-title>. <source>Gastroenterology</source> <volume>150</volume>, <fpage>1646</fpage>&#x2013;<lpage>1658</lpage>. <pub-id pub-id-type="doi">10.1053/j.gastro.2016.02.040</pub-id> </citation>
</ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhou</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Tang</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Ma</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>H.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Hepatic Nod2 Promotes Hepatocarcinogenesis via a Rip2-Mediated Proinflammatory Response and a Novel Nuclear Autophagy-Mediated Dna Damage Mechanism</article-title>. <source>J.&#x20;Hematol. Oncol.</source> <volume>14</volume>, <fpage>9</fpage>. <pub-id pub-id-type="doi">10.1186/s13045-020-01028-4</pub-id> </citation>
</ref>
</ref-list>
</back>
</article>