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<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>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="publisher-id">1385041</article-id>
<article-id pub-id-type="doi">10.3389/fcell.2024.1385041</article-id>
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<subj-group subj-group-type="heading">
<subject>Cell and Developmental Biology</subject>
<subj-group>
<subject>Review</subject>
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</subj-group>
</article-categories>
<title-group>
<article-title>The impact of preanalytical variables on the analysis of cell-free DNA from blood and urine samples</article-title>
<alt-title alt-title-type="left-running-head">Peng et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fcell.2024.1385041">10.3389/fcell.2024.1385041</ext-link>
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<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Peng</surname>
<given-names>Hongwei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Pan</surname>
<given-names>Ming</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
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<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Zongning</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Congbo</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xing</surname>
<given-names>Xing</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cheng</surname>
<given-names>Shaoping</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Shanshan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zheng</surname>
<given-names>Hang</given-names>
</name>
<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/2104415/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Qian</surname>
<given-names>Kaiyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</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/1098795/overview"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Biological Repositories</institution>, <institution>Human Genetic Resources Preservation Center of Hubei Province</institution>, <institution>Hubei Key Laboratory of Urological Diseases</institution>, <institution>Zhongnan Hospital of Wuhan University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Taihe Skills Training Center</institution>, <institution>Taihe Hospital</institution>, <institution>Hubei University of Medicine</institution>, <addr-line>Shiyan</addr-line>, <addr-line>Hubei</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Urology</institution>, <institution>Taihe Hospital</institution>, <institution>Hubei University of Medicine</institution>, <addr-line>Shiyan</addr-line>, <addr-line>Hubei</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Urology</institution>, <institution>The First Affiliated Hospital of Yangtze University</institution>, <addr-line>Jingzhou</addr-line>, <addr-line>Hubei</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Urology</institution>, <institution>Laboratory of Precision Medicine</institution>, <institution>Zhongnan Hospital of Wuhan University</institution>, <addr-line>Wuhan</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/1549503/overview">Maria Rachele Ceccarini</ext-link>, University of Perugia, Italy</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/862917/overview">Filippo Martignano</ext-link>, Prevention and Clinical Network (ISPRO), Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/427943/overview">Ivana Kurelac</ext-link>, University of Bologna, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1365722/overview">Aurelien Bancaud</ext-link>, Centre National de la Recherche Scientifique (CNRS), France</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Hang Zheng, <email>zh-urology@whu.edu.cn</email>; Kaiyu Qian, <email>qky1009@whu.edu.cn</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>05</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>12</volume>
<elocation-id>1385041</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>04</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Peng, Pan, Zhou, Chen, Xing, Cheng, Zhang, Zheng and Qian.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Peng, Pan, Zhou, Chen, Xing, Cheng, Zhang, Zheng and Qian</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>Cell-free DNA (cfDNA), a burgeoning class of molecular biomarkers, has been extensively studied across a variety of biomedical fields. As a key component of liquid biopsy, cfDNA testing is gaining prominence in disease detection and management due to the convenience of sample collection and the abundant wealth of genetic information it provides. However, the broader clinical application of cfDNA is currently impeded by a lack of standardization in the preanalytical procedures for cfDNA analysis. A number of fundamental challenges, including the selection of appropriate preanalytical procedures, prevention of short cfDNA fragment loss, and the validation of various cfDNA measurement methods, remain unaddressed. These existing hurdles lead to difficulties in comparing results and ensuring repeatability, thereby undermining the reliability of cfDNA analysis in clinical settings. This review discusses the crucial preanalytical factors that influence cfDNA analysis outcomes, including sample collection, transportation, temporary storage, processing, extraction, quality control, and long-term storage. The review provides clarification on achievable consensus and offers an analysis of the current issues with the goal of standardizing preanalytical procedures for cfDNA analysis.</p>
</abstract>
<kwd-group>
<kwd>cell-free DNA (cfDNA)</kwd>
<kwd>preanalytical variables</kwd>
<kwd>standardization</kwd>
<kwd>blood</kwd>
<kwd>urine</kwd>
</kwd-group>
<contract-num rid="cn001">CXPY2020031</contract-num>
<contract-sponsor id="cn001">Zhongnan Hospital of Wuhan University<named-content content-type="fundref-id">10.13039/501100016359</named-content>
</contract-sponsor>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cellular Biochemistry</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Cell-free DNA (cfDNA) was first discovered in the peripheral blood of healthy individuals in 1948 (<xref ref-type="bibr" rid="B95">Mandel and Metais, 1948</xref>). Subsequent research demonstrated elevated levels of cfDNA in patients with cancer (<xref ref-type="bibr" rid="B143">Song et al., 2022</xref>; <xref ref-type="bibr" rid="B178">Wu et al., 2022</xref>) and inflammation (<xref ref-type="bibr" rid="B135">Schneck et al., 2017</xref>), indicating that cfDNA analysis could be a valuable tool for health monitoring (<xref ref-type="bibr" rid="B52">Hayashi et al., 2019</xref>). Originating from apoptotic or necrotic events and active release mechanisms in the presence of intracellular circulating nucleases (<xref ref-type="bibr" rid="B126">Qi et al., 2023</xref>), cfDNA, with its modal size around 166 base pairs (bp) in plasma, has been linked to nucleosomal structures (<xref ref-type="bibr" rid="B92">Lo et al., 2021</xref>). Due to the stability of cfDNA molecules in body fluids (<xref ref-type="bibr" rid="B124">Polini et al., 2019</xref>), their wealth of genetic and epigenetic information (<xref ref-type="bibr" rid="B177">Wu et al., 2019</xref>; <xref ref-type="bibr" rid="B179">Xiao et al., 2022</xref>), and the noninvasive or minimally invasive nature of body fluid collection for cfDNA analysis (<xref ref-type="bibr" rid="B39">Ellervik and Vaught, 2015</xref>), cfDNA is considered an ideal biomarker for disease prevention, diagnosis, treatment, and prognosis (<xref ref-type="bibr" rid="B149">Szilagyi et al., 2020</xref>). Fetal noninvasive prenatal testing (NIPT) based on cfDNA levels was the first successful application of cfDNA in health monitoring (<xref ref-type="bibr" rid="B133">Schmid et al., 2018</xref>). Recent studies have explored the role of cfDNA in various areas, including NIPT (<xref ref-type="bibr" rid="B191">Zhu et al., 2021</xref>), cancer (<xref ref-type="bibr" rid="B108">Nabet et al., 2020</xref>), diabetes (<xref ref-type="bibr" rid="B57">Humardani et al., 2023</xref>), cardiovascular diseases (<xref ref-type="bibr" rid="B123">Polina et al., 2020</xref>), organ transplantation (<xref ref-type="bibr" rid="B175">Wolf-Doty et al., 2021</xref>), autoimmune diseases (<xref ref-type="bibr" rid="B103">Mondelo-Macia et al., 2021</xref>), and sepsis (<xref ref-type="bibr" rid="B86">Lenz et al., 2022</xref>). However, the progress of most related studies remains in the preliminary stage, likely due to the challenges presented by preanalytical variables.</p>
<p>The journey from sample collection to cfDNA analysis is intricate and involves several steps, such as preparation, collection, transportation, temporary storage, processing, extraction, quality control, and long-term storage (<xref ref-type="fig" rid="F1">Figure 1</xref>). Each step involves numerous conditions or details, and the variables interact with each other. Moreover, many studies inadequately describe the preanalytical variables for cfDNA analysis in their Materials and Methods sections (<xref ref-type="bibr" rid="B21">Campbell et al., 2015</xref>; <xref ref-type="bibr" rid="B175">Wolf-Doty et al., 2021</xref>; <xref ref-type="bibr" rid="B137">Shen et al., 2022</xref>), leading to questionable credibility of analytical results and inefficiency in method verification. Diao et al. surveyed the quality assurance (the questionnaire included preanalysis, postanalysis and performance validation for mNGS) of metagenomic next-generation sequencing (mNGS) used for detecting microbial cfDNA in blood samples across 80 laboratories in China and found significant variation in the mNGS workflow among the laboratories (<xref ref-type="bibr" rid="B33">Diao et al., 2022</xref>). Specifically, the sequencing platforms used in the mNGS laboratories included 49 Illumina laboratories, 16 Beijing Genomics Institute laboratories, 13 Ion Torrent laboratories and 2 Nanopore sequencing laboratories, and the interpretation standards for the mNGS results were inconsistent among the laboratories. Consequently, establishing widely applicable standards and consensuses presents a formidable challenge.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Spectrum of preanalytical procedures affecting the analysis of cell-free DNA.</p>
</caption>
<graphic xlink:href="fcell-12-1385041-g001.tif"/>
</fig>
<p>Blood and urine samples are valuable resources in biomedical research. Over the past few years, progress has been made in some effective methods (e.g., EDTA tubes, specialized collection tubes and specialized kits) (<xref ref-type="bibr" rid="B131">Salvianti et al., 2020</xref>; <xref ref-type="bibr" rid="B157">Ungerer et al., 2020</xref>; <xref ref-type="bibr" rid="B30">Deger et al., 2021</xref>; <xref ref-type="bibr" rid="B174">Wever et al., 2022</xref>) and in establishing preliminary guidelines for preanalytical variables (<xref ref-type="bibr" rid="B101">Meddeb et al., 2019</xref>). However, with the advancement of technology and new insights into unresolved issues, the existing consensus on preanalytical variables for blood-derived cfDNA analysis needs to be updated. cfDNA in urine has shown great potential in noninvasive diagnosis. Urine is an ideal biomaterial for the study of urological diseases due to its direct contact with the urinary system and convenient collection of sufficient volume (<xref ref-type="bibr" rid="B129">Ruppert et al., 2023</xref>). Research has shown significantly higher levels of urine cfDNA (ucfDNA) in patients with urinary tumors compared to healthy individuals (<xref ref-type="bibr" rid="B111">Nikanjam et al., 2022</xref>). Nevertheless, the clinical application of ucfDNA is relatively rare, possibly due to its sensitivity to environmental conditions (e.g., temperature and pH level of preservation solution) (<xref ref-type="bibr" rid="B78">Kim et al., 2023</xref>; <xref ref-type="bibr" rid="B129">Ruppert et al., 2023</xref>), which makes it easier to degrade rapidly, resulting in inadequate concentrations for downstream analysis (<xref ref-type="bibr" rid="B109">Nel et al., 2023</xref>) compared to blood-derived cfDNA. Therefore, the weaker stability makes ucfDNA analysis more susceptible to complex preanalytical variables, highlighting the importance of establishing a consensus on ucfDNA experimental procedures.</p>
<p>Clear documentation of the key details and preanalytical variables in experimental procedures is important, as it forms the basis for discussion and analytical results. Such detailed information is of paramount importance for consensus building. In this review, we delve into the preanalytical variables affecting cfDNA analysis. We clarify the achievable consensus in preanalytical variables and analyze existing challenges with the aim of standardizing preanalytical procedures for cfDNA analysis.</p>
</sec>
<sec id="s2">
<title>2 Preanalytical variables affecting cfDNA analysis</title>
<sec id="s2-1">
<title>2.1 Biological and physiological variables prior to sample collection</title>
<p>The characteristics of cfDNA in biospecimens are influenced by many biological and physiological variables before collection. These variables are often interrelated and subject to significant intra- and inter-individual differences (<xref ref-type="bibr" rid="B157">Ungerer et al., 2020</xref>). However, few of these variables have been individually studied, resulting in a limited understanding of their specific impacts on cfDNA characteristics. Potential biological and physiological variables (<xref ref-type="table" rid="T1">Table 1</xref>) that may affect cfDNA characteristics mainly include demographic differences (e.g., age and gender) (<xref ref-type="bibr" rid="B8">Aucamp et al., 2018</xref>; <xref ref-type="bibr" rid="B90">Lin et al., 2021</xref>), living habits (e.g., diet and exercise) (<xref ref-type="bibr" rid="B10">Aw et al., 2018</xref>; <xref ref-type="bibr" rid="B58">Huminska-Lisowska et al., 2021</xref>), psychophysical state (e.g., obesity, stress and emotion) (<xref ref-type="bibr" rid="B155">Trumpff et al., 2019</xref>; <xref ref-type="bibr" rid="B36">Drag and Kilpelainen, 2021</xref>; <xref ref-type="bibr" rid="B5">Ampo et al., 2022</xref>), origin (<xref ref-type="bibr" rid="B146">Stejskal et al., 2023</xref>), physiological process (e.g., menstruation and pregnancy) (<xref ref-type="bibr" rid="B15">Bianchi and Chiu, 2018</xref>; <xref ref-type="bibr" rid="B185">Yuwono et al., 2022</xref>), infection (<xref ref-type="bibr" rid="B7">Arshad et al., 2018</xref>), pathological diseases (e.g., diabetes, cancer, dysimmunity, and inflammation) (<xref ref-type="bibr" rid="B42">Fatouros et al., 2010</xref>; <xref ref-type="bibr" rid="B19">Bronkhorst et al., 2019</xref>; <xref ref-type="bibr" rid="B24">Cheng et al., 2020</xref>; <xref ref-type="bibr" rid="B57">Humardani et al., 2023</xref>), therapy (<xref ref-type="bibr" rid="B106">Muller Bark et al., 2020</xref>) and surgery (<xref ref-type="bibr" rid="B113">Oellerich et al., 2021</xref>). To shed light on how these variables influence cfDNA characteristics, representative examples, such as cfDNA origin mechanisms and cfDNA in cancer, are discussed below.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Biological and physiological variables affecting cfDNA analysis.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Variables</th>
<th align="center">Explanations</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Gender</td>
<td align="left">The yields of cfDNA in women are higher than that in men</td>
<td align="center">
<xref ref-type="bibr" rid="B90">Lin et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">Age</td>
<td align="left">Compared with young people, the cfDNA levels in the elderly (over 60 years old) are significantly higher</td>
<td align="center">
<xref ref-type="bibr" rid="B8">Aucamp et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">Diet</td>
<td align="left">Changes in dietary composition may determine the types and amount of mitochondrial cfDNA</td>
<td align="center">
<xref ref-type="bibr" rid="B10">Aw et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">Exercise</td>
<td align="left">Changes of cfDNA are associated with tissue injury induced by exercises</td>
<td align="center">
<xref ref-type="bibr" rid="B58">Huminska-Lisowska et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">Obesity</td>
<td align="left">Obesity results in higher cfDNA concentration by inducing inflammation</td>
<td align="center">
<xref ref-type="bibr" rid="B36">Drag and Kilpelainen (2021)</xref>
</td>
</tr>
<tr>
<td align="center">Stress</td>
<td align="left">Acute psychological stress may affect mitochondria and cause an increase in circulating cell-free mtDNA</td>
<td align="center">
<xref ref-type="bibr" rid="B155">Trumpff et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center">Emotion</td>
<td align="left">The levels of cf-mtDNA in plasma of elderly patients with depression and frailty is increased</td>
<td align="center">
<xref ref-type="bibr" rid="B5">Ampo et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">Origin</td>
<td align="left">cfDNA derived from apoptosis is finally digested into fragments of 166 bp or integer multiples of 166 bp. Necrosis usually leads to the existence of cfDNA fragments larger than 10,000 bp. cfDNA derived from living cells has a wide range of fragment sizes including 1,000&#x2013;3,000 bp and 30&#x2013;20,000 bp</td>
<td align="center">
<xref ref-type="bibr" rid="B157">Ungerer et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">Pregnancy</td>
<td align="left">The cfDNA levels are increased as gestation progresses and peak before labor</td>
<td align="center">
<xref ref-type="bibr" rid="B15">Bianchi and Chiu (2018)</xref>
</td>
</tr>
<tr>
<td align="center">Infection</td>
<td align="left">People living with HIV have higher cf-mtDNA levels than their uninfected peers</td>
<td align="center">
<xref ref-type="bibr" rid="B7">Arshad et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">Diabetes</td>
<td align="left">Dietary exposure triggers apoptosis-induced proliferation in adipocytes for diabetic patients, and lead to cfDNA release</td>
<td align="center">
<xref ref-type="bibr" rid="B57">Humardani et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="center">Cancer</td>
<td align="left">The increased cfDNA level usually depends on the increased tumor size and growth rate in early cancer</td>
<td align="center">
<xref ref-type="bibr" rid="B19">Bronkhorst et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center">Dysimmunity</td>
<td align="left">Abnormal immune status are associated with carcinogenesis which was detected and analysed in ctDNA</td>
<td align="center">
<xref ref-type="bibr" rid="B24">Cheng et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">Inflammation</td>
<td align="left">Exercise-induced inflammation increases the levels of cfDNA, and the amount of cfDNA depends on the severity of inflammation</td>
<td align="center">
<xref ref-type="bibr" rid="B42">Fatouros et al. (2010)</xref>
</td>
</tr>
<tr>
<td align="center">Therapy</td>
<td align="left">As a biomarker of many diseases, the content of cfDNA changes with the therapy of diseases</td>
<td align="center">
<xref ref-type="bibr" rid="B106">Muller Bark et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">Surgery</td>
<td align="left">In renal transplant patients, the level of donor-derived cfDNA increased due to graft injury</td>
<td align="center">
<xref ref-type="bibr" rid="B113">Oellerich et al. (2021)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>cfDNA originates from various sources, and its characteristics vary greatly, often identifiable based on DNA fragment length. Currently, several major mechanisms of cfDNA origin are recognized, including passive release from apoptotic (<xref ref-type="bibr" rid="B49">Handayani et al., 2023</xref>) and necrotic cells (<xref ref-type="bibr" rid="B64">Jahr et al., 2001</xref>) and active release from living cells (<xref ref-type="bibr" rid="B153">Thakur et al., 2014</xref>). During apoptosis, nucleosomes, composed of histone octamers and double-stranded DNA wrapped around the protein complex, are released into the blood and sheared by various nucleases to form cfDNA (<xref ref-type="bibr" rid="B37">Duplessis et al., 2018</xref>; <xref ref-type="bibr" rid="B43">Fedyuk et al., 2023</xref>). Consequently, cfDNA fragments resulting from apoptosis are typically 160&#x2013;180 bp or 360 bp in length, consistent with the length of the nucleosome (<xref ref-type="bibr" rid="B64">Jahr et al., 2001</xref>; <xref ref-type="bibr" rid="B96">Markus et al., 2022</xref>). In contrast, cfDNA fragments from necrotic cells are usually larger than 10,000 bp (<xref ref-type="bibr" rid="B46">Fujihara et al., 2021</xref>). Furthermore, living cells can actively secrete cfDNA in various forms of extracellular vesicles, containing cfDNA fragments ranging from 150 to 6,000 bp (<xref ref-type="bibr" rid="B153">Thakur et al., 2014</xref>; <xref ref-type="bibr" rid="B44">Fernando et al., 2017</xref>) and even up to two million bp (<xref ref-type="bibr" rid="B159">Vagner et al., 2018</xref>).</p>
<p>Despite different origin mechanisms, the cfDNA fragment ranges in blood and urine are largely regular due to metabolic equilibrium. Plasma cfDNA is predominantly split into 166 bp fragments, as confirmed by precise sequencing technologies (<xref ref-type="bibr" rid="B70">Jiang et al., 2015</xref>; <xref ref-type="bibr" rid="B55">Hudecova et al., 2022</xref>). ucfDNA, filtered through the renal barrier or directly released into urine following apoptosis and necrosis of urogenital cells (<xref ref-type="bibr" rid="B26">Cimmino et al., 2021</xref>), displays a wider range of lengths (<xref ref-type="bibr" rid="B66">Jain et al., 2019</xref>). Large molecular fragments, usually more than 1,000 bp, mainly originate from the necrosis of exfoliated uroepithelial cells or leukocytes (<xref ref-type="bibr" rid="B147">Streleckiene et al., 2018</xref>). Conversely, small molecular fragments, usually 10&#x2013;150 bp and 150&#x2013;200 bp (<xref ref-type="bibr" rid="B102">Melkonyan et al., 2008</xref>), mainly originate from apoptotic cells in the bloodstream.</p>
<p>Circulating tumor DNA (ctDNA), a subtype of cfDNA, is released by necrotic or apoptotic tumor cells and carries a wealth of genetic information related to tumorigenesis and progression (<xref ref-type="bibr" rid="B173">Weng et al., 2020</xref>). Increased ctDNA levels typically correlate with increased tumor size and growth rate in early-stage cancer (<xref ref-type="bibr" rid="B45">Fiala and Diamandis, 2018</xref>). Generally, cancer patients exhibit higher plasma ctDNA levels than healthy individuals (<xref ref-type="bibr" rid="B180">Xu et al., 2021</xref>). Apart from presenting significant intraindividual and interindividual variation, ctDNA levels in malignant tumors are significantly greater than those in nonmalignant tumors (<xref ref-type="bibr" rid="B154">Thierry et al., 2016</xref>). In summary, ctDNA levels vary greatly across different cancer stages and can be efficiently used to detect alterations in cancer-related genes (<xref ref-type="bibr" rid="B13">Bettegowda et al., 2014</xref>), which is highly important for the early detection of cancers (<xref ref-type="bibr" rid="B143">Song et al., 2022</xref>).</p>
</sec>
<sec id="s2-2">
<title>2.2 Sample collection procedure</title>
<sec id="s2-2-1">
<title>2.2.1 Blood collection</title>
<p>As vital biological materials, blood samples are most frequently collected for cfDNA analysis due to the body&#x2019;s reliance on blood circulation for metabolism. To achieve more reliable results, the choice between serum or plasma as the cfDNA analysis matrix is crucial (<xref ref-type="bibr" rid="B80">Kumar et al., 2018</xref>). Research suggests a preference for plasma in cfDNA analysis, as it helps circumvent the effects of genomic DNA (gDNA) released by leukocyte lysis on the concentration and purity of cfDNA (<xref ref-type="bibr" rid="B99">Martignano, 2019</xref>; <xref ref-type="bibr" rid="B122">Pittella-Silva et al., 2020</xref>). Although several studies reported higher cfDNA concentrations in serum than in plasma due to DNA degradation and contamination of gDNA from white blood cells (<xref ref-type="bibr" rid="B176">Wong et al., 2016</xref>; <xref ref-type="bibr" rid="B89">Li et al., 2017</xref>; <xref ref-type="bibr" rid="B54">Huang et al., 2020</xref>), cfDNA in plasma has proven to be more stable over time (<xref ref-type="bibr" rid="B16">Board et al., 2008</xref>). Moreover, a study aimed at evaluating the positive rate of epidermal growth factor receptor (EGFR) mutations in cfDNA revealed greater sensitivity when using plasma rather than serum (<xref ref-type="bibr" rid="B160">Vallee et al., 2013</xref>), underscoring the reliability of plasma-derived cfDNA.</p>
<p>Collection tubes with superior performance are preferred for blood collection. Anticoagulants, key components of blood collection tubes, can impact the quality and integrity of cfDNA (<xref ref-type="bibr" rid="B93">Luo et al., 2022</xref>). Widely used anticoagulants such as EDTA, citrate, and heparin exhibit different functional characteristics (<xref ref-type="bibr" rid="B1">Akat et al., 2019</xref>). Previously, EDTA tubes were commonly considered the standard for cfDNA analysis because EDTA inhibits DNase (<xref ref-type="bibr" rid="B11">Barra et al., 2015</xref>) and demonstrates better storage effects than heparin or citrate for delayed blood processing (<xref ref-type="bibr" rid="B81">Lam et al., 2004</xref>). Evidence suggests that plasma samples collected in EDTA tubes and processed within 6&#xa0;h are most suitable for ctDNA analysis (<xref ref-type="bibr" rid="B74">Kang et al., 2016</xref>). However, when blood processing is delayed due to long-distance transportation or other unavoidable circumstances, these collection tubes may not preserve samples efficiently. This has led to the development of specialized blood collection tubes designed to preserve samples for extended periods (<xref ref-type="bibr" rid="B145">Sorber et al., 2020</xref>).</p>
<p>Recently, various specialized collection tubes with different properties have been widely utilized for blood collection for cfDNA analysis (<xref ref-type="bibr" rid="B4">Alidousty et al., 2017</xref>; <xref ref-type="bibr" rid="B157">Ungerer et al., 2020</xref>). While these specialized collection tubes (<xref ref-type="table" rid="T2">Table 2</xref>) vary slightly in specifications (e.g., volume and shape), they extend the storage time of blood samples without the need for controlled environmental conditions (<xref ref-type="bibr" rid="B128">Rothwell et al., 2016</xref>; <xref ref-type="bibr" rid="B134">Schmidt et al., 2017</xref>; <xref ref-type="bibr" rid="B120">Parackal et al., 2019</xref>; <xref ref-type="bibr" rid="B171">Ward Gahlawat et al., 2019</xref>; <xref ref-type="bibr" rid="B189">Zhao et al., 2019</xref>; <xref ref-type="bibr" rid="B131">Salvianti et al., 2020</xref>). To ascertain the tubes&#x2019; ability to maintain cfDNA levels during transportation or temporary storage, studies have compared them with each other or with EDTA tubes. Overall, the specialized tubes outperform EDTA tubes in preventing gDNA contamination and extending storage time (<xref ref-type="bibr" rid="B164">van Ginkel et al., 2017</xref>; <xref ref-type="bibr" rid="B31">de Kock et al., 2019</xref>). Furthermore, these specialized tubes maintain the quality of cfDNA samples within 3 days equally well, but their storage effects reportedly differ slightly after more than 7 days (<xref ref-type="bibr" rid="B189">Zhao et al., 2019</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Recommended specialized blood collection tubes and storage conditions for cfDNA analysis.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Brands</th>
<th align="center">Country</th>
<th align="center">Volume (mL)</th>
<th align="center">Temperature</th>
<th align="center">Maximum storage time (day)</th>
<th align="left">Explanations</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Roche</td>
<td align="center">Germany</td>
<td align="center">8.5</td>
<td align="center">20&#xb0;C&#x2013;30&#xb0;C</td>
<td align="center">7</td>
<td align="left">More capable for preventing cfDNA contamination caused by white blood cells</td>
<td align="center">
<xref ref-type="bibr" rid="B189">Zhao et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center">Streck</td>
<td align="center">United States of America</td>
<td align="center">10</td>
<td align="center">RT</td>
<td align="center">14</td>
<td align="left">Maintains the stability for up to 14 days post collection</td>
<td align="center">
<xref ref-type="bibr" rid="B120">Parackal et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center">PAXgene</td>
<td align="center">Germany</td>
<td align="center">10</td>
<td align="center">15&#xb0;C&#x2013;25&#xb0;C</td>
<td align="center">7</td>
<td align="left">Suitable for PCR-based quantification of total amount of cfDNA and for methylation analysis</td>
<td align="center">
<xref ref-type="bibr" rid="B134">Schmidt et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="center">ImproGene</td>
<td align="center">China</td>
<td align="center">10</td>
<td align="center">4&#xb0;C&#x2013;30&#xb0;C</td>
<td align="center">7&#x2013;14</td>
<td align="left">More sensitive in the detection of low frequency mutations</td>
<td align="center">
<xref ref-type="bibr" rid="B131">Salvianti et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">Norgen</td>
<td align="center">Canada</td>
<td align="center">8.4</td>
<td align="center">RT</td>
<td align="center">7</td>
<td align="left">Superior for cfDNA yield</td>
<td align="center">
<xref ref-type="bibr" rid="B171">Ward Gahlawat et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center">CellSave</td>
<td align="center">United States</td>
<td align="center">10</td>
<td align="center">RT</td>
<td align="center">4</td>
<td align="left">Enables the analysis of both cfDNA and CTCs from the same tube</td>
<td align="center">
<xref ref-type="bibr" rid="B128">Rothwell et al. (2016)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>RT, room temperature.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Some often overlooked variables during blood sample collection can impact cfDNA analysis. Proper needle selection is necessary, as excessively thin needles can cause hemolysis (<xref ref-type="bibr" rid="B105">Mouser et al., 2017</xref>). When collecting blood samples from children, professional collectors can enhance the efficiency of blood collection and minimize discomfort to the participants (<xref ref-type="bibr" rid="B142">Simundic et al., 2018</xref>). To prevent hemolysis, the tourniquet should be correctly positioned and not left in place too long during blood drawing (<xref ref-type="bibr" rid="B121">Phelan et al., 2018</xref>). The recommended duration for tourniquet application is generally within 1&#xa0;min (<xref ref-type="bibr" rid="B168">Wall et al., 2014</xref>), as prolonged tourniquet use can lead to blood sample concentration and hemolysis (<xref ref-type="bibr" rid="B63">Jacob et al., 2021</xref>). Even though these operational details affecting cfDNA quality have not been fully investigated or described in the current literature, they should be considered during blood collection.</p>
</sec>
<sec id="s2-2-2">
<title>2.2.2 Urine collection</title>
<p>Collecting urine samples is a completely noninvasive process typically carried out by the donors themselves. Urine collection is more convenient than blood collection, provided that there is good communication with donors beforehand (<xref ref-type="bibr" rid="B61">Itoh et al., 2013</xref>). Different types of urine samples, such as 24-h, morning, and random samples, are collected for various purposes (24-h and random urine for the urinary biochemical parameters, and morning urine for the extraction of tumor markers) (<xref ref-type="bibr" rid="B27">Cook et al., 2000</xref>; <xref ref-type="bibr" rid="B140">Shojaei-Far et al., 2017</xref>; <xref ref-type="bibr" rid="B187">Zhang et al., 2018</xref>). Morning urine is frequently preferred for cfDNA analysis due to its more stable total cfDNA content compared to that of other urine types (<xref ref-type="bibr" rid="B190">Zhou et al., 2021</xref>). This is because factors that might alter cfDNA content, such as the donor intentionally drinking excessive water before collection, are hard to control. Therefore, morning urine collection tends to be less affected.</p>
<p>The choice of suitable collection containers is also crucial, as they need to be user-friendly for donors. Ideally, these containers should be sterile (<xref ref-type="bibr" rid="B141">Sigdel et al., 2013</xref>; <xref ref-type="bibr" rid="B25">Cheng et al., 2017</xref>) and have a lid to prevent leakage. The donor&#x2019;s gender, age, and physical condition should be considered when selecting an appropriate container. In addition, it is also recommended to immediately divide the collected urine into multiple portions to avoid freeze-thaw cycles that could affect the quality of the ucfDNA (<xref ref-type="bibr" rid="B72">Jordaens et al., 2023</xref>).</p>
<p>The question of whether to add protective agents to the collected urine samples is important. Taking cues from the practice of prolonging the storage time of blood samples collected in tubes with protective agents, adding additives to urine may enhance the stability of cfDNA (<xref ref-type="bibr" rid="B107">Murugesan et al., 2019</xref>). EDTA is most commonly used as a protective agent added to urine for optimal cfDNA storage outcomes (<xref ref-type="bibr" rid="B84">Lee et al., 2020</xref>). In a study comparing the extraction methods of short cfDNA fragments from urine, a 10&#xa0;mmol/L EDTA solution was added to the collected urine to enhance analytical result accuracy (<xref ref-type="bibr" rid="B115">Oreskovic et al., 2019</xref>). Besides EDTA, the Streck reagent has also been used as a urine preservative for cfDNA protection (<xref ref-type="bibr" rid="B107">Murugesan et al., 2019</xref>). However, numerous studies have not clearly outlined whether protective agents were added to the collected urine (<xref ref-type="table" rid="T4">Table 4</xref>). Further research is necessary to enhance the effectiveness of preservatives in preserving ucfDNA. It is possible to find inspiration from the key components present in specialized collection tubes designed for the extended preservation of blood cfDNA. Moreover, the methods of long-term preservation of DNA might be beneficial to develop more effective preservatives for preserving ucfDNA.</p>
</sec>
</sec>
<sec id="s2-3">
<title>2.3 Sample transportation before processing</title>
<p>Due to a lack of necessary equipment or well-trained professionals, samples often cannot be processed immediately after collection and have to be transported. Unpredictable conditions, such as violent shaking during transportation, prolonged transportation, or high temperature during temporary storage, may negatively impact sample quality and cfDNA analysis.</p>
<sec id="s2-3-1">
<title>2.3.1 Blood transportation</title>
<p>During transportation, stirring or violent vibration may cause blood sample hemolysis, resulting in the release of cell metabolites that inhibit the Taq enzyme activity and decrease PCR amplification efficiency (<xref ref-type="bibr" rid="B39">Ellervik and Vaught, 2015</xref>). As reviewed in <xref ref-type="bibr" rid="B40">El Messaoudi et al. (2013)</xref>, cfDNA concentration slightly increased in blood samples stirred for 3&#xa0;h at room temperature (<xref ref-type="bibr" rid="B40">El Messaoudi et al., 2013</xref>). Hence, significant or prolonged vibration should be avoided during blood sample transportation, especially at room temperature (the duration of stable cfDNA level is much longer in EDTA tubes when stored at 4&#xb0;C than at room temperature) (<xref ref-type="bibr" rid="B53">Hidestrand et al., 2012</xref>).</p>
<p>In addition to blood collection tubes, the time and temperature of blood transportation postcollection should be controlled. A study comparing three collection tubes (K2EDTA, Roche, and Streck) revealed that Roche and Streck tubes were similarly effective in preventing gDNA release after 7 days of storage at room temperature, while K2EDTA tubes resulted in significant gDNA release (<xref ref-type="bibr" rid="B189">Zhao et al., 2019</xref>). Therefore, specialized tubes should be used when processing steps have to be delayed (<xref ref-type="bibr" rid="B188">Zhang et al., 2022</xref>). Hidestrand et al. reported that the samples should avoid being exposed to extreme temperatures during transportation by comparing the total cfDNA in plasma of EDTA samples and BCT samples at room temperature and 4&#xb0;C (<xref ref-type="bibr" rid="B53">Hidestrand et al., 2012</xref>). As indicated in <xref ref-type="table" rid="T3">Table 3</xref>, the recommended transportation temperature is 4&#xb0;C for EDTA tubes or room temperature for specialized tubes.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Summary of used/recommended temporary storage conditions and different centrifugal procedures after collecting blood for cfDNA analysis.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Tube types</th>
<th align="center">Temporary temperature after collection</th>
<th align="center">Processing deadline</th>
<th align="center">First centrifugation step</th>
<th align="center">Second centrifugation step</th>
<th align="center">Temporary temperature after centrifugation (&#xb0;C)</th>
<th align="center">Explanations</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">EDTA</td>
<td align="center">ND</td>
<td align="center">3&#xa0;h</td>
<td align="center">2,500&#xa0;g, 10&#xa0;min, RT</td>
<td align="center">2,500&#xa0;g, 10 min, RT</td>
<td align="center">&#x2212;80</td>
<td align="left">The supernatant of 1&#x2013;2&#xa0;mL aliquots was stored at &#x2212;80&#xb0;C</td>
<td align="center">
<xref ref-type="bibr" rid="B112">Nuzzo et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">EDTA</td>
<td align="center">ND</td>
<td align="center">2&#xa0;h</td>
<td align="center">380&#xa0;g, 20&#xa0;min</td>
<td align="center">20,000&#xa0;g, 10&#xa0;min</td>
<td align="center">&#x2212;80</td>
<td align="left">cfDNA is isolated from plasma by Hamilton Microlab STAR</td>
<td align="center">
<xref ref-type="bibr" rid="B163">van Dorp et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="center">EDTA</td>
<td align="center">RT</td>
<td align="center">2&#xa0;h</td>
<td rowspan="3" align="center">2000&#xa0;g, 10 min, 4&#xb0;C</td>
<td rowspan="3" align="center">16,000&#xa0;g, 10 min, 4&#xb0;C</td>
<td rowspan="3" align="center">&#x2212;80</td>
<td rowspan="3" align="left">Roche is capable for preventing cfDNA contamination due to white blood cell disruption within 14 days</td>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B189">Zhao et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center">Roche</td>
<td align="center">RT</td>
<td align="center">7&#xa0;d</td>
</tr>
<tr>
<td align="center">Streck</td>
<td align="center">RT</td>
<td align="center">7&#xa0;d</td>
</tr>
<tr>
<td align="center">EDTA</td>
<td align="center">AT</td>
<td align="center">4&#xa0;h</td>
<td rowspan="3" align="center">2000&#xa0;g, 10&#xa0;min, RT</td>
<td rowspan="3" align="center">2000&#xa0;g, 10 min, RT</td>
<td rowspan="3" align="center">&#x2212;80</td>
<td rowspan="3" align="left">No significance difference in the yields of cfDNA between the 4 h-EDTA, 4 h-CellSave and 96 h-CellSave samples</td>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B128">Rothwell et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center">CellSave</td>
<td align="center">AT</td>
<td align="center">4&#xa0;h</td>
</tr>
<tr>
<td align="center">CellSave</td>
<td align="center">AT</td>
<td align="center">96&#xa0;h</td>
</tr>
<tr>
<td align="center">EDTA</td>
<td align="center">RT</td>
<td align="center">24&#xa0;h</td>
<td rowspan="3" align="center">380&#xa0;g, 20&#xa0;min, RT</td>
<td rowspan="3" align="center">20,000&#xa0;g, 10&#xa0;min, RT</td>
<td rowspan="3" align="center">&#x2212;80</td>
<td rowspan="3" align="left">Lysis of white blood cells in blood samples increases with increasing centrifugation force</td>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B164">van Ginkel et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="center">Streck</td>
<td align="center">RT</td>
<td align="center">5&#xa0;d</td>
</tr>
<tr>
<td align="center">CellSave</td>
<td align="center">RT</td>
<td align="center">5&#xa0;d</td>
</tr>
<tr>
<td align="center">EDTA</td>
<td align="center">RT</td>
<td align="center">4&#xa0;h</td>
<td align="center">820&#xa0;g, 10&#xa0;min, RT</td>
<td rowspan="2" align="center">16,100&#xa0;g, 10 min, RT</td>
<td rowspan="2" align="center">&#x2212;80</td>
<td rowspan="2" align="left">PAXgene tube is preferred in clinical practice for the scenario that samples are stored for over 24&#xa0;h</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B31">de Kock et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center">PAXgene</td>
<td align="center">RT</td>
<td align="center">5&#xa0;d</td>
<td align="center">1900&#xa0;g, 15 min, RT</td>
</tr>
<tr>
<td align="center">EDTA</td>
<td align="center">AT</td>
<td align="center">1&#xa0;h</td>
<td rowspan="2" align="center">820&#xa0;g, 10 min, RT</td>
<td rowspan="2" align="center">16,000&#xa0;g, 10 min, RT</td>
<td rowspan="2" align="center">&#x2212;80</td>
<td rowspan="2" align="left">No significant difference between collection protocols by measuring cfDNA yield and fragment size</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B97">Markus et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">Streck</td>
<td align="center">AT</td>
<td align="center">24/72&#xa0;h</td>
</tr>
<tr>
<td align="center">EDTA</td>
<td align="center">AT</td>
<td align="center">4&#xa0;h</td>
<td rowspan="2" align="center">1,600&#xa0;g, 10&#xa0;min, 4&#xb0;C</td>
<td rowspan="2" align="center">1,600&#xa0;g, 10 min, 4&#xb0;C</td>
<td rowspan="2" align="center">&#x2212;80</td>
<td rowspan="2" align="left">Recommend to store blood samples less than 4&#xa0;h at ambient temperature or 24&#xa0;h at 4&#xb0;C</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B47">Gerber et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">EDTA</td>
<td align="center">4&#xb0;C</td>
<td align="center">24&#xa0;h</td>
</tr>
<tr>
<td align="center">EDTA</td>
<td align="center">4&#xb0;C</td>
<td align="center">24&#xa0;h</td>
<td align="center">3,000&#xa0;g, 10&#xa0;min, RT</td>
<td align="center">ND</td>
<td rowspan="2" align="center">&#x2212;80</td>
<td rowspan="2" align="left">If plasma cannot be separated within 4&#xa0;h or stored at 4&#xb0;C, it should be collected in Streck before processing</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B110">Nesic et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">Streck</td>
<td align="center">RT</td>
<td align="center">14&#xa0;d</td>
<td align="center">1,600&#xa0;g, 10&#xa0;min, RT</td>
<td align="center">16,000&#xa0;g, 10 min, RT</td>
</tr>
<tr>
<td align="center">EDTA</td>
<td align="center">AT</td>
<td align="center">24&#xa0;h</td>
<td rowspan="2" align="center">1711&#xa0;g, 10 min, RT</td>
<td rowspan="2" align="center">12,000&#xa0;g, 10 min, RT</td>
<td rowspan="2" align="center">&#x2212;80</td>
<td rowspan="2" align="left">cfDNA extracted from CellSave and EDTA can be used for methylated DNA sequencing</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B30">Deger et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">CellSave</td>
<td align="center">AT</td>
<td align="center">96&#xa0;h</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ND, no description; AT, ambient temperature; RT, room temperature.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2-3-2">
<title>2.3.2 Urine transportation</title>
<p>The urine sample transportation temperature should be regulated based on different transportation distances. For distances that allow urine samples to be processed within 90&#xa0;min, samples can be stored at room temperature for transportation (<xref ref-type="bibr" rid="B38">Eisinger et al., 2013</xref>; <xref ref-type="bibr" rid="B35">Dolscheid-Pommerich et al., 2016</xref>). For longer distances, measures such as using ice packs to maintain the urine samples at approximately 4&#xb0;C or adding preservatives to urine samples (<xref ref-type="bibr" rid="B41">Ercan et al., 2015</xref>) should be implemented to prevent changes in physical and chemical properties of urine or the degradation of cfDNA fragments. The long-distance transportation may lead to the instability of cfDNA level in urine, which is equivalent to prolonging the temporary storage time before sample processing. Therefore, reliable transportation methods (e.g., equipping with enough ice packs or adding suitable preservatives) should be prioritized, especially when transferring rare disease samples. Additionally, it is necessary to prevent the rupture of the urine collection tube due to shock or external force during transportation, which might lead to urine sample leakage.</p>
</sec>
</sec>
<sec id="s2-4">
<title>2.4 Temporary storage before sample processing</title>
<sec id="s2-4-1">
<title>2.4.1 Blood temporary storage</title>
<p>Research has shown that the storage temperature and delay time during temporary storage before sample processing significantly impact cfDNA concentration, fragments, and purity (<xref ref-type="bibr" rid="B47">Gerber et al., 2020</xref>). The concentration of cfDNA slightly increases with time during temporary storage (<xref ref-type="bibr" rid="B18">Bronkhorst et al., 2015</xref>; <xref ref-type="bibr" rid="B14">Bhangu et al., 2017</xref>). However, the unified delay time has not yet been determined.</p>
<p>Previous studies have investigated blood samples collected in EDTA tubes and processed within specific times, such as 1&#xa0;h (<xref ref-type="bibr" rid="B97">Markus et al., 2018</xref>), 2&#xa0;h (<xref ref-type="bibr" rid="B189">Zhao et al., 2019</xref>), 3&#xa0;h (<xref ref-type="bibr" rid="B112">Nuzzo et al., 2020</xref>), 4&#xa0;h (<xref ref-type="bibr" rid="B47">Gerber et al., 2020</xref>), 6&#xa0;h (<xref ref-type="bibr" rid="B40">El Messaoudi et al., 2013</xref>) or 24&#xa0;h (<xref ref-type="bibr" rid="B110">Nesic et al., 2021</xref>). However, a consensus on the maximum permissible delay time for processing has not been reached. <xref ref-type="table" rid="T3">Table 3</xref> shows that the storage temperature of blood correlates with the delayed processing time, suggesting that blood samples should be processed within the delayed processing time corresponding to the specific storage temperature as soon as possible to ensure the optimal quality of cfDNA. Otherwise, it is recommended that blood samples collected in EDTA tubes should be stored at 4&#xb0;C, and the delay time should not exceed 24&#xa0;h (<xref ref-type="bibr" rid="B165">Van Paemel et al., 2021</xref>). The blood samples collected by specialized collection tubes are temporarily stored for a longer time than EDTA tubes, and the results are summarized in <xref ref-type="table" rid="T2">Tables 2</xref>, <xref ref-type="table" rid="T3">3</xref>.</p>
</sec>
<sec id="s2-4-2">
<title>2.4.2 Urine temporary storage</title>
<p>The delay time after urine collection is also different in previous studies, including 0&#xa0;h (<xref ref-type="bibr" rid="B68">Janovicova et al., 2023</xref>), 1&#xa0;h at 4&#xb0;C (<xref ref-type="bibr" rid="B25">Cheng et al., 2017</xref>), 3&#xa0;h (no description of temperature) (<xref ref-type="bibr" rid="B112">Nuzzo et al., 2020</xref>) and 24&#x2013;72&#xa0;h (no description of temperature) (<xref ref-type="bibr" rid="B174">Wever et al., 2022</xref>). The temporary storage conditions of urine samples after collection were usually neglected, so detailed descriptions of the variables were not provided in most related studies (<xref ref-type="table" rid="T4">Table 4</xref>). Due to the lack of comparative studies on the temporary storage conditions of urine samples, it is difficult to establish standard operational consensuses. The concentration of ucfDNA is greatly dependent on the addition of urine preservatives (<xref ref-type="bibr" rid="B84">Lee et al., 2020</xref>) during temporary storage. <xref ref-type="table" rid="T4">Table 4</xref> shows that urine samples with EDTA can be temporarily stored for a longer period of time. Adding preservatives after urine collection is extremely important for sample stability (<xref ref-type="bibr" rid="B117">Pages et al., 2022</xref>), which makes the temporary storage conditions more variable and flexible.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Summary of used/recommended temporary storage conditions and centrifugal procedures for urine cfDNA analysis.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Containers</th>
<th align="center">Volume (mL)</th>
<th align="center">Additives</th>
<th align="center">Temporary temperature after collection</th>
<th align="center">Processing deadline</th>
<th align="center">First centrifugation step</th>
<th align="center">Second centrifugation step</th>
<th align="center">Temporary temperature after centrifugation</th>
<th align="left">Explanations</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Sterile cups</td>
<td align="center">100</td>
<td align="center">NA</td>
<td align="center">ND</td>
<td align="center">ND</td>
<td align="center">200&#xa0;g, 10&#xa0;min</td>
<td align="center">1800&#xa0;g, 10&#xa0;min</td>
<td align="center">ND</td>
<td align="left">DNA yields vary greatly between different individuals on different days</td>
<td align="center">
<xref ref-type="bibr" rid="B147">Streleckiene et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">Sterile bottles</td>
<td align="center">30&#x2013;50</td>
<td align="center">ND</td>
<td align="center">4&#xb0;C</td>
<td align="center">1&#xa0;h</td>
<td align="center">3,000&#xa0;g, 10 min, 4&#xb0;C</td>
<td align="center">ND</td>
<td align="center">&#x2212;80&#xb0;C</td>
<td align="left">Avoid collecting early morning urine</td>
<td align="center">
<xref ref-type="bibr" rid="B25">Cheng et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="center">Sterile containers</td>
<td align="center">50&#x2013;100</td>
<td align="center">ND</td>
<td align="center">RT</td>
<td align="center">1&#xa0;h</td>
<td align="center">2000 g, 20&#xa0;min, RT</td>
<td align="center">ND</td>
<td align="center">&#x2212;80&#xb0;C</td>
<td align="left">The pH of supernatant was adjusted to 7.0 using Tris-HCl before storage</td>
<td align="center">
<xref ref-type="bibr" rid="B141">Sigdel et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">Sterile container</td>
<td align="center">ND</td>
<td align="center">NA</td>
<td align="center">ND</td>
<td align="center">3&#xa0;h</td>
<td align="center">2,500&#xa0;g, 10&#xa0;min, RT</td>
<td align="center">ND</td>
<td align="center">&#x2212;80&#xb0;C</td>
<td align="left">ND</td>
<td align="center">
<xref ref-type="bibr" rid="B112">Nuzzo et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">ND</td>
<td align="center">ND</td>
<td align="center">ND</td>
<td align="center">ND</td>
<td align="center">at once</td>
<td align="center">1,600&#xa0;g, 10&#xa0;min, 4&#xb0;C</td>
<td align="center">16,000&#xa0;g, 10 min, 4&#xb0;C</td>
<td align="center">ND</td>
<td align="left">Midstream urine samples were processed right after urine collection</td>
<td align="center">
<xref ref-type="bibr" rid="B68">Janovicova et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="center">Cell Preservation Solution Kit</td>
<td align="center">10</td>
<td align="center">ND</td>
<td align="center">RT</td>
<td align="center">72&#xa0;h</td>
<td align="center">1,000&#xa0;g, 10&#xa0;min</td>
<td align="center">ND</td>
<td align="center">ND</td>
<td align="left">Urine was collected between the first morning urination and operative treatment</td>
<td align="center">
<xref ref-type="bibr" rid="B186">Zeng et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">ND</td>
<td align="center">ND</td>
<td align="center">ND</td>
<td align="center">&#x2212;80&#xb0;C</td>
<td align="center">ND</td>
<td align="center">2000&#xa0;g, 10 min, 4&#xb0;C</td>
<td align="center">16,000&#xa0;g, 10&#xa0;min, 4&#xb0;C</td>
<td align="center">ND</td>
<td align="left">Fresh urine was immediately stored at &#x2212;80&#xb0;C after collection</td>
<td align="center">
<xref ref-type="bibr" rid="B114">Ohta et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">ND</td>
<td align="center">ND</td>
<td align="center">EDTA</td>
<td align="center">ND</td>
<td align="center">1&#xa0;h</td>
<td align="center">1,500&#xa0;g, 10&#xa0;min, 4&#xb0;C</td>
<td align="center">20,000&#xa0;g, 10&#xa0;min, 4&#xb0;C</td>
<td align="center">&#x2212;80&#xb0;C</td>
<td align="left">ND</td>
<td align="center">
<xref ref-type="bibr" rid="B104">Mouliere et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">Receptacles</td>
<td align="center">20&#x2013;30</td>
<td align="center">EDTA</td>
<td align="center">&#x2212;20&#xb0;C</td>
<td align="center">ND</td>
<td align="center">10,000&#xa0;g, 15&#xa0;min, 4&#xb0;C</td>
<td align="center">10,000&#xa0;g, 15&#xa0;min, 4&#xb0;C</td>
<td align="center">ND</td>
<td align="left">Participants were instructed to collect the midstream urine</td>
<td align="center">
<xref ref-type="bibr" rid="B192">Zhu et al. (2021b)</xref>
</td>
</tr>
<tr>
<td align="center">Large container</td>
<td align="center">300</td>
<td align="center">NA</td>
<td align="center">ND</td>
<td align="center">24&#x2013;72&#xa0;h</td>
<td align="center">3,000&#xa0;g, 15&#xa0;min</td>
<td align="center">ND</td>
<td align="center">&#x2212;20&#xb0;C</td>
<td rowspan="2" align="left">Ambulant urine collection was realized by a collection kit</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B174">Wever et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">Collecting pipes</td>
<td align="center">30</td>
<td align="center">EDTA</td>
<td align="center">ND</td>
<td align="center">24&#x2013;72&#xa0;h</td>
<td align="center">3,000&#xa0;g, 15&#xa0;min</td>
<td align="center">ND</td>
<td align="center">&#x2212;20&#xb0;C</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ND, no description; NA, no additive added to the urine; RT, room temperature.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s2-5">
<title>2.5 Sample processing procedure</title>
<p>Ensuring that plasma and urine supernatant used for extracting cfDNA are free from cellular components, various specific protocols for processing blood and urine samples have been developed (<xref ref-type="table" rid="T3">Tables 3</xref>, <xref ref-type="table" rid="T4">4</xref>). The main factors that may result in DNA contamination during sample processing include centrifugation speeds, centrifugal temperature, single or double centrifugation steps, and the duration of the centrifugation steps (<xref ref-type="bibr" rid="B157">Ungerer et al., 2020</xref>; <xref ref-type="bibr" rid="B139">Shin et al., 2022</xref>). These preanalytical variables can affect the effectiveness of blood and urine processing to varying degrees. However, no consensus has been reached regarding these preanalytical variables in the current sample processing protocols. Therefore, there is an urgent need to develop a unified and effective centrifugation protocol for processing blood and urine samples.</p>
<sec id="s2-5-1">
<title>2.5.1 Blood processing</title>
<p>Whole blood samples are primarily processed through centrifugation steps to remove cellular components, thus avoiding gDNA contamination of cfDNA (<xref ref-type="bibr" rid="B99">Martignano, 2019</xref>). The parameters involved in these steps, such as centrifugal force, temperature, number of centrifugations, and duration of centrifugation, can potentially introduce sample contamination. Therefore, it is crucial to determine the optimal parameters for a centrifugation scheme that can be universally applied to blood processing. Previous studies have indicated that the number of centrifugation steps and the centrifugal force are the key parameters in developing a centrifugation scheme for blood processing (<xref ref-type="bibr" rid="B31">de Kock et al., 2019</xref>; <xref ref-type="bibr" rid="B189">Zhao et al., 2019</xref>). These parameters should be given more attention than the temperature or duration of centrifugation steps to prevent sample contamination. Currently, a well-established approach for obtaining cell-free plasma fractions during blood processing involves an initial centrifugation step with lower centrifugal force followed by a subsequent second centrifugation step with higher centrifugal force. Moreover, the yield of plasma cfDNA did not differ after the third centrifugation step at 16,000&#xa0;g compared to the second centrifugation step. Therefore, double centrifugation is widely recognized and used in current blood sample processing protocols to achieve satisfactory cfDNA analysis results (<xref ref-type="bibr" rid="B167">Volckmar et al., 2018</xref>; <xref ref-type="bibr" rid="B144">Sorber et al., 2019</xref>).</p>
<p>Centrifugal parameters for blood samples vary significantly and are summarized in <xref ref-type="table" rid="T3">Table 3</xref>. In the first centrifugation step, a slow centrifugal force, primarily ranging from 380&#x2013;3,000&#xd7;g for 10&#xa0;min, is used to remove a large number of cell components (<xref ref-type="bibr" rid="B110">Nesic et al., 2021</xref>; <xref ref-type="bibr" rid="B163">van Dorp et al., 2023</xref>). In the second centrifugation step, a faster centrifugal force, mainly ranging from 12,000&#x2013;20,000&#xd7;g for 10&#xa0;min, is usually performed to remove cellular residues and debris (<xref ref-type="bibr" rid="B30">Deger et al., 2021</xref>; <xref ref-type="bibr" rid="B163">van Dorp et al., 2023</xref>). These centrifugation steps are generally carried out at 4&#xb0;C (<xref ref-type="bibr" rid="B189">Zhao et al., 2019</xref>; <xref ref-type="bibr" rid="B47">Gerber et al., 2020</xref>) or room temperature (<xref ref-type="bibr" rid="B97">Markus et al., 2018</xref>; <xref ref-type="bibr" rid="B31">de Kock et al., 2019</xref>).</p>
</sec>
<sec id="s2-5-2">
<title>2.5.2 Urine processing</title>
<p>ucfDNA degrades more easily than blood-derived cfDNA due to urinary nucleases and contaminants (<xref ref-type="bibr" rid="B181">Yao et al., 2016</xref>); therefore, collected urine samples should be processed as soon as possible. Similar to blood samples, collected urine typically undergoes single or double centrifugation to remove cellular components or cell debris (<xref ref-type="bibr" rid="B22">Casadio and Salvi, 2019</xref>). However, the range of centrifugal force for urine samples is much larger than that for blood samples, as summarized in <xref ref-type="table" rid="T4">Table 4</xref>. Single centrifugation usually takes 10&#x2013;20&#xa0;min at speeds ranging from 1,000&#x2013;3,000&#xd7;g (<xref ref-type="bibr" rid="B25">Cheng et al., 2017</xref>; <xref ref-type="bibr" rid="B186">Zeng et al., 2020</xref>). The double centrifugation procedure consists of a first centrifugation step at 200&#x2013;2000&#xd7;g for 10&#xa0;min, followed by a faster second centrifugation step at 1800&#x2013;16,000&#xd7;g for 10&#xa0;min (<xref ref-type="bibr" rid="B147">Streleckiene et al., 2018</xref>; <xref ref-type="bibr" rid="B104">Mouliere et al., 2021</xref>; <xref ref-type="bibr" rid="B114">Ohta et al., 2021</xref>). These centrifugation steps are also carried out at 4&#xb0;C (<xref ref-type="bibr" rid="B25">Cheng et al., 2017</xref>; <xref ref-type="bibr" rid="B192">Zhu et al., 2021</xref>) or room temperature (<xref ref-type="bibr" rid="B141">Sigdel et al., 2013</xref>; <xref ref-type="bibr" rid="B112">Nuzzo et al., 2020</xref>).</p>
<p>In some studies, urine samples were directly frozen at &#x2212;20&#xb0;C or &#x2212;80&#xb0;C after collection without a centrifugation step (<xref ref-type="bibr" rid="B77">Kim et al., 2022</xref>; <xref ref-type="bibr" rid="B68">Janovicova et al., 2023</xref>). The frozen samples must be thawed for subsequent processing or analysis, which can result in cell lysis in urine during the freeze-thaw cycle (<xref ref-type="bibr" rid="B94">Luo et al., 2018</xref>). In a study by Oreskovic A et al. on the diagnostic accuracy of a tuberculosis cfDNA test using sequence-specific purification of ucfDNA, the collected urine samples underwent several stages, including freezing at &#x2212;20&#xb0;C at the collection point, transportation on dry ice, freezing at &#x2212;80&#xb0;C, and thawing at 37&#xb0;C before centrifugation (<xref ref-type="bibr" rid="B116">Oreskovic et al., 2021</xref>). However, the study did not describe or discuss whether the urine samples were immediately processed or not, nor the potential effect of the above steps on the urine. All preanalytical variables may affect the quality and final analysis of cfDNA, which should be clearly described in each study.</p>
</sec>
</sec>
<sec id="s2-6">
<title>2.6 Temporary storage between sample processing and extraction</title>
<p>Many studies do not immediately proceed to cfDNA extraction after centrifuging the collected blood or urine samples. This delay is often due to specific experimental purposes or the need for centralized cfDNA extraction. The conditions of temporary storage, such as the duration and temperature between sample processing and extraction, are vital variables that could impact cfDNA quality. Cellular components and cell debris are removed from the samples during centrifugation, suggesting that changes in cfDNA likely result from DNA fragment degradation during temporary storage (<xref ref-type="bibr" rid="B39">Ellervik and Vaught, 2015</xref>). However, temporary storage conditions are not yet standardized.</p>
<p>After centrifugation, the majority of the collected blood and urine samples were frozen at &#x2212;80&#xb0;C until DNA extraction, as summarized in <xref ref-type="table" rid="T3">Tables 3</xref>, <xref ref-type="table" rid="T4">4</xref>. One study showed that cfDNA concentration increased slightly when the centrifuged plasma samples were stored at room temperature for varying lengths of time, ranging from 0 to 4&#xa0;h, before extraction (<xref ref-type="bibr" rid="B40">El Messaoudi et al., 2013</xref>). Another study revealed that cfDNA fragmented gradually over 3&#xa0;months when centrifuged plasma was stored at &#x2212;20&#xb0;C (<xref ref-type="bibr" rid="B18">Bronkhorst et al., 2015</xref>). The plasma used for detecting specific DNA sequences can be stored at &#x2212;80&#xb0;C for up to 10 years, while samples for quantitative analysis can only be stored at &#x2212;80&#xb0;C for 9 months (<xref ref-type="bibr" rid="B33">Diao et al., 2022</xref>).</p>
<p>Specialized kits allow the collected urine to be temporarily stored for a longer period of time before extraction. Zeng et al. reported that the Cell Preservation Solution Kit was used to collect urine samples and allowed the samples to be transferred to the laboratory for processing within 72&#xa0;h at room temperature (<xref ref-type="bibr" rid="B186">Zeng et al., 2020</xref>). In another more detailed report, urine samples were collected using the specialized kits including a large collection container (300&#xa0;mL) and three 30&#xa0;mL collection tubes and then transported to the Department of Pathology of Amsterdam UMC (<xref ref-type="bibr" rid="B174">Wever et al., 2022</xref>). Importantly, 2&#xa0;mL of 0.6&#xa0;M EDTA as a preservative agent in the collection tubes allowed the samples to be processed within 24&#x2013;72&#xa0;h. Except for urine samples collected by specialized kits stored at &#x2212;20&#xb0;C after a single centrifugation or samples without relevant storage descriptions, the other collected urine samples were frozen at &#x2212;80&#xb0;C after single or double centrifugation until DNA extraction (<xref ref-type="table" rid="T4">Table 4</xref>). Studies specifically related to the temporary storage of collected urine samples are scarce. Nonetheless, the conditions summarized above for plasma samples are also applicable to urine samples that have undergone single or double centrifugation during temporary storage.</p>
</sec>
<sec id="s2-7">
<title>2.7 cfDNA extraction procedure</title>
<p>Efficient cfDNA extraction is essential for ensuring the accuracy and reliability of downstream analytical results. However, the extracted cfDNA can often be too fragmented or too low in content, possibly leading to regrettable analytical data or failed application. Thus, finding a way to efficiently and cost-effectively separate cfDNA from samples has been a central issue for researchers.</p>
<p>A wide array of extraction methods, including traditional (liquid-phase-based or solid-phase-based DNA isolation methods) (<xref ref-type="bibr" rid="B67">Janku et al., 2021</xref>), improved (methods for separating cfDNA mainly based on chromatographic columns or magnetic beads) (<xref ref-type="bibr" rid="B90">Lin et al., 2021</xref>), and novel (methods for separating cfDNA using new technologies or materials) (<xref ref-type="bibr" rid="B91">Liu et al., 2022</xref>) technologies, as well as manual (<xref ref-type="bibr" rid="B170">Wang et al., 2021</xref>) or automatic (<xref ref-type="bibr" rid="B85">Lee et al., 2018</xref>) methods, have been employed to extract cfDNA. These methods vary in terms of recovery efficiency, fragment discrimination, and reproducibility (<xref ref-type="bibr" rid="B157">Ungerer et al., 2020</xref>), making it challenging to select the optimal method for cfDNA isolation. Factors such as the efficiency of extracting low-content DNA (<xref ref-type="bibr" rid="B85">Lee et al., 2018</xref>), purity (<xref ref-type="bibr" rid="B158">Uwiringiyeyezu et al., 2022</xref>), repeatability (<xref ref-type="bibr" rid="B87">Letendre and Goggs, 2017</xref>), and cost (<xref ref-type="bibr" rid="B34">Diefenbach et al., 2018</xref>) are usually considered when applying extraction protocols. Commercial specialized kits based on current optimized technologies seem to offer clear advantages for cfDNA extraction (<xref ref-type="bibr" rid="B69">Janovicova et al., 2020</xref>) and are routinely used in many studies.</p>
<p>Currently, innovative technologies based on magnetic particles (<xref ref-type="bibr" rid="B161">van der Leest et al., 2022</xref>) or spin columns (<xref ref-type="bibr" rid="B34">Diefenbach et al., 2018</xref>) are the most common methods in specialized commercial kits for cfDNA extraction. A comparative study of a series of commercial kits analyzing artificially added DNA fragments showed that the Qiagen QIAamp circulating nucleic acid kit, based on a spin column, was the most stable kit (<xref ref-type="bibr" rid="B34">Diefenbach et al., 2018</xref>). However, the Qiagen QIAamp kits have a significant shortcoming: some short DNA fragments are lost during extraction and purification, resulting in a decrease in cfDNA yield (<xref ref-type="bibr" rid="B75">Kemp et al., 2014</xref>). Comparatively, the kits based on magnetic particles for cfDNA isolation have a higher recovery rate for short cfDNA fragments (50&#x2013;250 bp) than those based on silica membranes (<xref ref-type="bibr" rid="B97">Markus et al., 2018</xref>; <xref ref-type="bibr" rid="B157">Ungerer et al., 2020</xref>).</p>
<sec id="s2-7-1">
<title>2.7.1 Kits for extracting blood-derived cfDNA</title>
<p>Several manufacturers, such as Qiagen, Norgen, Thermo, and Promega, produce specialized commercial kits for extracting blood-derived cfDNA (<xref ref-type="bibr" rid="B34">Diefenbach et al., 2018</xref>; <xref ref-type="bibr" rid="B162">van Dessel et al., 2019</xref>; <xref ref-type="bibr" rid="B56">Huebner et al., 2021</xref>; <xref ref-type="bibr" rid="B170">Wang et al., 2021</xref>). Among these, Qiagen&#x2019;s systematic kits are the most commonly used (<xref ref-type="bibr" rid="B166">Vermeulen et al., 2017</xref>; <xref ref-type="bibr" rid="B65">Jain et al., 2019</xref>; <xref ref-type="bibr" rid="B71">Jiang et al., 2020</xref>; <xref ref-type="bibr" rid="B73">Kallionpaa et al., 2021</xref>), However, comparing the performance of these kits is challenging due to variations in sample collection, processing, and analysis procedures (<xref ref-type="table" rid="T5">Table 5</xref>). For example, when PCR is used to quantify specific genes, the sensitivity may decrease or even vanish as cfDNA fragments become shorter (<xref ref-type="bibr" rid="B157">Ungerer et al., 2020</xref>). Nonetheless, a few of the few studies have compared these kits under identical conditions. Devonshire et al. compared the extraction efficiency of four commercial kits (QIAamp circulating nucleic acid kit, NucleoSpin Plasma XS kit, FitAmp plasma/serum DNA isolation kit, and QIAamp DNA blood mini kit) using quantitative PCR measurements of seven different reference genes (<xref ref-type="bibr" rid="B32">Devonshire et al., 2014</xref>). They found that the extraction efficiency of the kits was in the following order: QIAamp circulating nucleic acid kit &#x3e; QIAamp DNA blood mini kit &#x3e; NucleoSpin Plasma XS kit &#x3e; FitAmp plasma/serum DNA isolation kit. The QIAamp circulating nucleic acid kit and NucleoSpin Plasma XS kit were more efficient in extracting short DNA fragments than the QIAamp DNA blood mini kit.</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Summary of kits for blood-derived cfDNA extraction and storage conditions of extracted cfDNA.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Product</th>
<th align="center">Manufacturer</th>
<th align="center">Sample volume</th>
<th align="center">Storage conditions</th>
<th align="center">Quantitative methods</th>
<th align="center">Finding</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">QIAmp Circulating Nucleic Acid Kit</td>
<td align="center">Qiagen</td>
<td align="center">3&#x2013;8&#xa0;mL</td>
<td align="center">&#x2212;80&#xb0;C</td>
<td align="left">dPCR using the KRAS G12/G13 Screening Multiplex Kit</td>
<td align="left">The cfDNA-extraction conditions lead to higher cfDNA concentrations</td>
<td align="center">
<xref ref-type="bibr" rid="B31">de Kock et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center">Qiagen Circulating Nucleic Acids Kit</td>
<td align="center">Qiagen</td>
<td align="center">1&#xa0;mL</td>
<td align="center">&#x2212;80&#xb0;C</td>
<td align="left">Qubit dsDNA High Sensitivity Assay Kit</td>
<td align="left">ND</td>
<td align="center">
<xref ref-type="bibr" rid="B112">Nuzzo et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">Maxwell RSC ctDNA Plasma Kit</td>
<td align="center">Promega</td>
<td align="center">1&#xa0;mL</td>
<td align="center">ND</td>
<td align="left">Qubit and ddPCR</td>
<td align="left">ND</td>
<td align="center">
<xref ref-type="bibr" rid="B114">Ohta et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">QIAamp Circulating Nucleic Acid Kit</td>
<td align="center">Qiagen</td>
<td align="center">ND</td>
<td align="center">ND</td>
<td align="left">Qubit</td>
<td align="left">Plasma stored at &#x2212;80&#xb0;C is suitable for NGS</td>
<td align="center">
<xref ref-type="bibr" rid="B71">Jiang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">QIAamp Circulating Nucleic Acid Kit</td>
<td align="center">Qiagen</td>
<td align="center">2&#xa0;mL</td>
<td align="center">ND</td>
<td align="left">Qubit HS Assay Kit and Qubit</td>
<td align="left">ND</td>
<td align="center">
<xref ref-type="bibr" rid="B73">Kallionpaa et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">Maxwell RSC ccfDNA plasma kit</td>
<td align="center">Promega</td>
<td align="center">ND</td>
<td align="center">ND</td>
<td rowspan="2" align="left">Fluorometric measurement and qRT&#x2012;PCR of ALU and mtDNA fragments</td>
<td rowspan="2" align="left">A higher ccfDNA yield by Maxwell kit and a higher ccfDNA integrity by QIAamp kit</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B56">Huebner et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">QiAamp minElute ccfDNA mini kit</td>
<td align="center">Qiagen</td>
<td align="center">ND</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">QIAamp DSP Virus Kit</td>
<td align="center">Qiagen</td>
<td align="center">1&#xa0;mL</td>
<td align="center">ND</td>
<td rowspan="2" align="left">dPCR</td>
<td rowspan="2" align="left">The QIAamp Circulating Nucleic Acid Kit delivered a significantly higher yield</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B65">Jain et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="center">QIAamp Circulating Nucleic Acid Kit</td>
<td align="center">Qiagen</td>
<td align="center">1&#xa0;mL</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">QIAamp Circulating Nucleic Acid Kit</td>
<td align="center">Qiagen</td>
<td align="center">2&#xa0;mL</td>
<td align="center">ND</td>
<td rowspan="3" align="left">Quantitative methylation specific PCR (qMSP) and dPCR (KRAS, TP53, and PIK3CA mutations)</td>
<td rowspan="3" align="left">Both QIAamp Kit and Maxwell<sup>&#xae;</sup> RSC Kit were compatible with MeD-seq analysis, whereas the QiaSymphony DSP Kit yielded considerably fewer reads compared to the QIAamp kit</td>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B30">Deger et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">Maxwell<sup>&#xae;</sup> RSC ccfDNA Plasma Kit</td>
<td align="center">Promega</td>
<td align="center">2&#xa0;mL</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">QiaSymphony DSP Circulating DNA Kit</td>
<td align="center">Qiagen</td>
<td align="center">2&#xa0;mL</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">QIAamp Circulating Nucleic Acid Kit (QA)</td>
<td align="center">Qiagen</td>
<td align="center">2&#xa0;mL</td>
<td align="center">ND</td>
<td rowspan="3" align="left">Qubit and qPCR (TERT)</td>
<td rowspan="3" align="left">The QS automated platform has comparable performance to the QA and outperformed the MX platform</td>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B162">van Dessel et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center">QIAsymphony SP Circulating DNA Kit (QS)</td>
<td align="center">Qiagen</td>
<td align="center">2&#xa0;mL</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">Maxwell ccfDNA Plasma Custom Kit (MX)</td>
<td align="center">Promega</td>
<td align="center">2&#xa0;mL</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">QIAamp Circulating Nucleic Acids kit (QA)</td>
<td align="center">Qiagen</td>
<td align="center">1&#xa0;mL</td>
<td align="center">&#x2212;70&#xb0;C</td>
<td rowspan="4" align="left">qPCR (Alu sequences)</td>
<td rowspan="4" align="left">QA and DSP kit both efficiently purify DNA regardless of fragment size, whereas QD kit only effectively extract high molecular weight DNA. QU Kit produced the lowest yields</td>
<td rowspan="4" align="center">
<xref ref-type="bibr" rid="B172">Warton et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">QIAamp DNA Blood Mini kit (QD)</td>
<td align="center">Qiagen</td>
<td align="center">1&#xa0;mL</td>
<td align="center">&#x2212;70&#xb0;C</td>
</tr>
<tr>
<td align="center">QIAamp Ultrasens Virus kit (QU)</td>
<td align="center">Qiagen</td>
<td align="center">1&#xa0;mL</td>
<td align="center">&#x2212;70&#xb0;C</td>
</tr>
<tr>
<td align="center">QIASymphony DSP Virus kit (DSP)</td>
<td align="center">Qiagen</td>
<td align="center">1&#xa0;mL</td>
<td align="center">&#x2212;70&#xb0;C</td>
</tr>
<tr>
<td align="center">QIAamp circulating nucleic acid kit</td>
<td align="center">Qiagen</td>
<td align="center">4&#xa0;mL</td>
<td align="center">ND</td>
<td rowspan="4" align="left">Qubit, qPCR (EGFR gene mutations) and Agilent 2,100 Bioanalyzer</td>
<td rowspan="4" align="left">QIAamp circulating nucleic acid kit and Microdiag<sup>&#xae;</sup> circulating DNA kit had the highest recovery rate for short DNA fragments</td>
<td rowspan="4" align="center">
<xref ref-type="bibr" rid="B170">Wang et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">AmoyDx<sup>&#xae;</sup> Circulating DNA kits</td>
<td align="center">Amoy Diagnostics</td>
<td align="center">4&#xa0;mL</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">Microdiag<sup>&#xae;</sup> circulating DNA isolation kit</td>
<td align="center">MicroDiag</td>
<td align="center">2&#xa0;mL</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">MagMAX cell-free DNA isolation kit</td>
<td align="center">Thermo</td>
<td align="center">2&#xa0;mL</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">QIAamp circulating nucleic acid kit</td>
<td align="center">Qiagen</td>
<td align="center">1&#x2013;5&#xa0;mL</td>
<td align="center">ND</td>
<td rowspan="6" align="left">ddPCR</td>
<td rowspan="6" align="left">The Qiagen QIAamp circulating nucleic acid kit was the most consistent performing kit. The Qiagen QIAamp minElute ccfDNA mini kit displayed the best performing magnetic bead-based kit with a simpler workflow</td>
<td rowspan="6" align="center">
<xref ref-type="bibr" rid="B34">Diefenbach et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">Plasma/serum cell-free circulating DNA Purification midi kit</td>
<td align="center">Norgen Biotek</td>
<td align="center">1&#x2013;4&#xa0;mL</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">QIAamp minElute ccfDNA mini kit</td>
<td align="center">Qiagen</td>
<td align="center">1&#x2013;2&#xa0;mL</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">Maxwell RSC ccfDNA plasma kit</td>
<td align="center">Promega</td>
<td align="center">1&#xa0;mL</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">MagMAX cell-free DNA isolation kit</td>
<td align="center">Applied Biosystems</td>
<td align="center">0.1&#x2013;10&#xa0;mL</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">NextPrep-Mag cfDNA isolation kit</td>
<td align="center">Bioo Scientific</td>
<td align="center">1&#x2013;3&#xa0;mL</td>
<td align="center">ND</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ND, no description.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Warton K et al. evaluated four commercial DNA purification kits (QIAamp Circulating Nucleic Acids kit, QIAamp Ultrasens Virus kit, QIAamp DNA Blood Mini kit, and QIASymphony DSP Virus kit) for the extraction of low- (115 base) and high-molecular-weight DNA (247 base) from plasma by qPCR quantification of endogenous Alu sequences (<xref ref-type="bibr" rid="B172">Warton et al., 2018</xref>). The study revealed that both the Circulating Nucleic Acids kit and the QIASymphony DSP Virus kit efficiently extracted DNA from plasma regardless of the size of DNA fragments, while the DNA Blood Mini kit only effectively extracted high-molecular-weight DNA. Overall, the QIAamp Circulating Nucleic Acids kit is the most widely used product with better performance than other kits for cfDNA analysis.</p>
<p>In summary, although the Qiagen Company kits lost short DNA fragments during the extraction procedure, they showed relatively higher efficiency and recovery rates (<xref ref-type="bibr" rid="B170">Wang et al., 2021</xref>). Additionally, long duration of storage before sample processing may cause cell lysis, resulting in a higher total amount of cfDNA. Therefore, the selection of kits should be based on the specific analytical targets (<xref ref-type="table" rid="T5">Table 5</xref>).</p>
</sec>
<sec id="s2-7-2">
<title>2.7.2 Kits for extracting urine-derived cfDNA</title>
<p>The extraction protocols of cfDNA in many studies were originally developed mainly for extracting high-integrity gDNA from blood or virus particles rather than highly fragmented cfDNA (<xref ref-type="bibr" rid="B127">Repiska et al., 2013</xref>). Therefore, how to efficiently extract cfDNA from urine is usually neglected. Apart from cfDNA originating from exfoliated urothelial cells, the peak length of urine-derived cfDNA depends on glomerular filtration, which requires further degradation of all cfDNA fragments before entering the urine (<xref ref-type="bibr" rid="B181">Yao et al., 2016</xref>). While the peak length of plasma cfDNA is 160&#x2013;167 bp, most urine cfDNA fragments are less than 100 bp (<xref ref-type="bibr" rid="B20">Burnham et al., 2018</xref>). Therefore, kits designed for blood-derived cfDNA extraction may not be suitable for urine-derived cfDNA isolation (<xref ref-type="bibr" rid="B115">Oreskovic et al., 2019</xref>). Currently, specialized commercial kits for extracting urine-derived cfDNA are offered by manufacturers such as Qiagen, Norgen, Thermo, Promega, and PerkinElmer (<xref ref-type="table" rid="T6">Table 6</xref>). Lee EY et al. compared the efficiency of four commercial kits (Urine Cell-Free Circulating DNA Purification Midi Kit, Quick-DNA&#x2122; Urine Kit, QIAamp Circulating Nucleic Acid Kit, and MagMAX&#x2122; Cell-Free DNA Isolation Kit) by an Agilent 2,100 Bioanalyzer for ucfDNA isolation and found that the QIAamp Circulating Nucleic Acid Kit and the MagMAX&#x2122; Cell-Free DNA Isolation Kit had the highest cfDNA yield within the 50&#x2013;300 bp fragment range, while the MagMAX&#x2122; Cell-Free DNA Isolation Kit and the Urine Cell-Free Circulating DNA Purification Midi Kit had the highest cfDNA yield within the 50&#x2013;100 bp fragment range (<xref ref-type="bibr" rid="B84">Lee et al., 2020</xref>). Another study by Oreskovic A et al. compared three commercial kits (Norgen, QIAamp, and MagMAX) for extracting short cfDNA fragments from urine (<xref ref-type="bibr" rid="B115">Oreskovic et al., 2019</xref>). The study showed that the Norgen kit exhibited a high recovery rate for short cfDNA fragments, although the kit resulted in PCR inhibition, while the other two kits had the lowest recovery rate for short cfDNA fragments. In summary, each kit for urine-derived cfDNA extraction has its own characteristics and advantages, emphasizing the importance of selecting a suitable cfDNA isolation kit based on the specific research purpose. In addition, for ucfDNA extraction, kits allowing the extraction of cfDNA from large-volume urine samples (usually greater than or equal to 10&#x2013;15&#xa0;mL) are recommended, as this facilitates obtaining a sufficient amount of ucfDNA (<xref ref-type="bibr" rid="B22">Casadio and Salvi, 2019</xref>; <xref ref-type="bibr" rid="B99">Martignano, 2019</xref>; <xref ref-type="bibr" rid="B115">Oreskovic et al., 2019</xref>; <xref ref-type="bibr" rid="B69">Janovicova et al., 2020</xref>).</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Summary of kits for urine-derived cfDNA extraction and storage conditions of extracted cfDNA.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Product</th>
<th align="center">Manufacturer</th>
<th align="center">Sample volume (mL)</th>
<th align="center">Storage conditions</th>
<th align="center">Quantitative methods</th>
<th align="center">Finding</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Circulating Nucleic Acid kit</td>
<td align="center">Qiagen</td>
<td align="center">3</td>
<td align="center">ND</td>
<td align="left">NanoDrop and Qubit</td>
<td align="left">ND</td>
<td align="center">
<xref ref-type="bibr" rid="B190">Zhou et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">Qiagen genomic DNA extraction Kit</td>
<td align="center">Qiagen</td>
<td align="center">2</td>
<td align="center">&#x2212;80&#xb0;C</td>
<td align="left">Qubit dsDNA HS Assay Kit</td>
<td align="left">ND</td>
<td align="center">
<xref ref-type="bibr" rid="B112">Nuzzo et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">Maxwell RSC circulating DNA Purification Kit</td>
<td align="center">Promega</td>
<td align="center">20</td>
<td align="center">ND</td>
<td align="left">Qubit and ddPCR</td>
<td align="left">ND</td>
<td align="center">
<xref ref-type="bibr" rid="B114">Ohta et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">NEXTprep-Mag Urine cfDNA Isolation Kit</td>
<td align="center">PerkinElmer</td>
<td align="center">4</td>
<td align="center">ND</td>
<td rowspan="2" align="left">Agilent 2,200 and TapeStation Analysis Software</td>
<td rowspan="2" align="left">The bead-based method was tended to yield more cfDNA per ml of urine and PerkinElmer kit is more efficient at capturing short DNA</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B147">Streleckiene et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">Urine Cell-Free Circulating DNA Purification Midi Kit</td>
<td align="center">Norgen Biotek</td>
<td align="center">10</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">JBS cfDNA extraction kit (kit J)</td>
<td align="center">JBS Science</td>
<td align="center">3</td>
<td rowspan="3" align="center">no storage or &#x2212;20&#xb0;C</td>
<td rowspan="3" align="left">JBS Artificial Spike-In DNA Quantification kit, TapeStation 4,200 system and qPCR</td>
<td rowspan="3" align="left">Kit J recovered remarkably more spike-in DNA than kit M or kit Q</td>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B90">Lin et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">MagMAX Cell-Free DNA Extraction kit (kit M)</td>
<td align="center">Thermo</td>
<td align="center">3</td>
</tr>
<tr>
<td align="center">QIAamp Circulating Nucleic Acid Kit (kit Q)</td>
<td align="center">Qiagen</td>
<td align="center">3</td>
</tr>
<tr>
<td align="center">Norgen Urine Cell-Free Circulating DNA Purification Mini Kit</td>
<td align="center">Norgen</td>
<td align="center">2</td>
<td align="center">ND</td>
<td rowspan="3" align="left">qPCR (DNA fragment length 40-, 80-, and 150-nt targets)</td>
<td rowspan="3" align="left">The Norgen kit resulted in consistent PCR inhibition but had high recovery of short fragments. The QIAamp and MagMAX kits had minimal recovery of fragments &#x3c;150 and &#x3c;80&#xa0;nt, respectively. The methods vary widely in ability to capture short fragments</td>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B115">Oreskovic et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center">Qiagen QIAamp Circulating Nucleic Acid Kit</td>
<td align="center">Qiagen</td>
<td align="center">4</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">Thermo Fisher Scientific MagMAX Cell-Free DNA Isolation Kit</td>
<td align="center">Thermo</td>
<td align="center">1</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">QIAamp Circulating Nucleic Acid Kit (QC)</td>
<td align="center">Qiagen</td>
<td align="center">4</td>
<td align="center">ND</td>
<td rowspan="4" align="left">DNA Chip-Based Agilent 2,100 Bioanalyzer</td>
<td rowspan="4" align="left">The NU kit was efficient for extraction of short fragments (50&#x2013;100 bp) with the lowest genomic DNA contamination. Kit ZQ had the best cost-efficiency for obtaining the same amount of ucfDNA</td>
<td rowspan="4" align="center">
<xref ref-type="bibr" rid="B84">Lee et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">MagMAX&#x2122; Cell-Free DNA Isolation Kit (MM)</td>
<td align="center">Thermo</td>
<td align="center">4</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">Urine Cell-Free Circulating DNA Purification Midi Kit (NU)</td>
<td align="center">Norgen Biotek</td>
<td align="center">10</td>
<td align="center">ND</td>
</tr>
<tr>
<td align="center">Quick-DNA&#x2122; Urine Kit (ZQ)</td>
<td align="center">Zymo Research</td>
<td align="center">24</td>
<td align="center">ND</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ND, no description.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s2-8">
<title>2.8 Quality control of extracted cfDNA</title>
<p>Quality evaluation of extracted cfDNA prior to analysis is critical. This involves assessing concentration, fragment size, and DNA Integrity Number (DIN). The quality control results may indicate the reliability of preanalytical procedures. Unexpected results often suggest potential issues with these procedures. Therefore, sensitive and accurate methods are required for cfDNA quantification.</p>
<p>qPCR-based techniques are also commonly used to quantify cfDNA.With their high sensitivity (<xref ref-type="bibr" rid="B119">Pan et al., 2017</xref>), accuracy (<xref ref-type="bibr" rid="B88">Leung et al., 2021</xref>), and low false positive rate (<xref ref-type="bibr" rid="B182">Yin et al., 2022</xref>), these methods can be used to measure trace nucleic acids effectively (<xref ref-type="bibr" rid="B119">Pan et al., 2017</xref>) and analyze cfDNA for known mutations (<xref ref-type="bibr" rid="B51">Hatipoglu et al., 2022</xref>). By detecting housekeeping genes (<xref ref-type="bibr" rid="B9">Aucamp et al., 2016</xref>) or noncoding repetitive sequences (<xref ref-type="bibr" rid="B59">Hussein et al., 2019</xref>) in cfDNA and fitting the standard curve with a reference substance (<xref ref-type="bibr" rid="B151">Tang et al., 2020</xref>), absolute cfDNA concentrations can be quantified using PCR-based methods. Frequently used reference genes include TERT (<xref ref-type="bibr" rid="B3">Akuta et al., 2020</xref>), GAPDH (<xref ref-type="bibr" rid="B130">Salinas-Sanchez et al., 2021</xref>), EGFR (<xref ref-type="bibr" rid="B148">Sugimoto et al., 2023</xref>), KRAS (<xref ref-type="bibr" rid="B12">Berchuck et al., 2022</xref>), and ALU (<xref ref-type="bibr" rid="B138">Shi et al., 2020</xref>). However, the lack of unified reference genes results in significant variations in the quantitative results of PCR-based methods, hindering efficient comparisons across different studies (<xref ref-type="bibr" rid="B32">Devonshire et al., 2014</xref>). Moreover, these methods are easily interfered with by compounds. Yokota et al. reported that heparin in plasma could inhibit Taq reaction in PCR analysis (<xref ref-type="bibr" rid="B183">Yokota et al., 1999</xref>). The use of cfDNA extracted from jaundice plasma occasionally interfered with PCR reaction, suggesting that a compound in jaundice plasma is not conducive to PCR analysis (<xref ref-type="bibr" rid="B100">Meddeb et al., 2019</xref>).</p>
<p>NGS, which greatly reduces sequencing costs and improves accuracy, can analyze millions of ctDNA molecules simultaneously and has been applied to ctDNA detection (<xref ref-type="bibr" rid="B23">Chen and Zhao, 2019</xref>). Although PCR-based methods are sensitive, inexpensive and do not require complex information, they are only able to detect known sequences (<xref ref-type="bibr" rid="B150">Taly et al., 2017</xref>). In contrast, NGS is high-throughput and can identify new genetic information, but the method is time-consuming and depends on complex data analysis (<xref ref-type="bibr" rid="B125">Postel et al., 2018</xref>).</p>
<p>Considering a wide range of applications and advanced technologies, Qubit and Bioanalyzer are currently the optimal methods for cfDNA quantification (<xref ref-type="bibr" rid="B80">Kumar et al., 2018</xref>). The Qubit fluorometer offers excellent analytical sensitivity (<xref ref-type="bibr" rid="B20">Burnham et al., 2018</xref>) and can simultaneously detect up to eight samples (<xref ref-type="bibr" rid="B120">Parackal et al., 2019</xref>). Compared to NanoDrop and qPCR-based methods, the Qubit fluorometer is a suitable compromise considering measurement precision, processing time, and cost simultaneously (<xref ref-type="bibr" rid="B20">Burnham et al., 2018</xref>; <xref ref-type="bibr" rid="B76">Khetan et al., 2019</xref>). The Bioanalyzer system from Agilent Technology provides detailed information on cfDNA fragment size and level (<xref ref-type="bibr" rid="B83">Lapin et al., 2018</xref>), and automatically provides DIN values ranging from 1 (highly degraded) to 10 (extremely intact) to quantitatively evaluate DNA integrity (<xref ref-type="bibr" rid="B156">Truszewska et al., 2020</xref>). This system is ideal for quality control of cfDNA samples utilized in NGS (<xref ref-type="bibr" rid="B184">Yu et al., 2021</xref>) and qPCR workflows (<xref ref-type="bibr" rid="B60">Hussing et al., 2018</xref>). The Cell-free DNA ScreenTape assay can be used to analyze cfNDA samples from 50 bp to 700 bp and detect high molecular weight DNA contaminations (<xref ref-type="bibr" rid="B152">Terp et al., 2024</xref>). However, Femtopulse, another Agilent Technology, is a powerful and effective pulsed field capillary electrophoresis system with high sensitivity (<xref ref-type="bibr" rid="B50">Hashem et al., 2020</xref>). The system can run for up to 88 samples for cfDNA analysis on a gel simultaneously and provides results in as little as 1.5&#xa0;h, which is quicker and more economical than the use of a bioanalyzer.</p>
<p>A new technique that can detect cfDNA directly in plasma without prior DNA extraction was developed in 2018. The developers used this technology to analyze cfDNA and found that the measured cfDNA concentrations correlated with those measured by digital PCR (<xref ref-type="bibr" rid="B6">Andriamanampisoa et al., 2018</xref>). Further study demonstrated that the analytical performance of the technology is equivalent to that obtained after purification and concentration, with a precision of &#x223c;1% for size features (<xref ref-type="bibr" rid="B17">Boutonnet et al., 2023</xref>). In addition, several emerging technologies, including sophisticated cellular biosensors (<xref ref-type="bibr" rid="B29">Cooper et al., 2023</xref>), electrochemical biosensors (<xref ref-type="bibr" rid="B169">Wang et al., 2022</xref>) and fluorescence-enhancing all-dielectric metasurface biosensors (<xref ref-type="bibr" rid="B62">Iwanaga et al., 2023</xref>), can detect the content of cfDNA without complicated processing. These methods with high sensitivity have advantages in low-content detection, but they are not suitable for more detailed analysis of DNA fragments, so they are not generally used for quality control of cfDNA analysis.</p>
<p>Overall, each method has advantages and disadvantages. PCR can accurately and sensitively detect trace amounts of DNA, but it is susceptible to interference from certain compounds. Bioanalyzer and Femtopulse are often used to analyze the fragments and concentration of cfDNA. A bioanalyzer cannot detect larger fragments that can be analyzed by qPCR, while some samples that cannot be amplified by qPCR can be detected by a bioanalyzer (<xref ref-type="bibr" rid="B79">Krasic et al., 2021</xref>). In summary, the comparison of cfDNA yields obtained by different quantitative methods is infeasible, and non-PCR methods can compensate for the deficiency of PCR methods (<xref ref-type="bibr" rid="B2">Akbariqomi et al., 2019</xref>).</p>
</sec>
<sec id="s2-9">
<title>2.9 Long-term storage of extracted cfDNA</title>
<p>If not immediately analyzed, extracted cfDNA should be stored at low temperatures. Long-term preservation is crucial to ensure effective downstream applications. Shorter cfDNA fragments may yield poor quantitative results (<xref ref-type="bibr" rid="B28">Cook et al., 2018</xref>), so factors causing DNA degradation or breakage during storage should be mitigated.</p>
<p>Chemical degradation poses the main threat to DNA preservation, so nuclease contamination should be avoided during sample processing and extraction (<xref ref-type="bibr" rid="B39">Ellervik and Vaught, 2015</xref>). Factors impacting cfDNA quality during long-term storage include storage temperature and duration, repeated freeze-thaw cycles, and storage tubes (<xref ref-type="bibr" rid="B157">Ungerer et al., 2020</xref>).</p>
<p>Long-term storage of cfDNA is typically performed at &#x2212;20&#xb0;C or &#x2212;80&#xb0;C (<xref ref-type="bibr" rid="B112">Nuzzo et al., 2020</xref>; <xref ref-type="bibr" rid="B90">Lin et al., 2021</xref>). The appropriate temperature depends on the requirements of subsequent applications. As reviewed in <xref ref-type="bibr" rid="B40">El Messaoudi et al. (2013)</xref>, cfDNA should be stored at &#x2212;20&#xb0;C for less than 3 months for quantification and fragmentation analyses, while it can be stored at &#x2212;20&#xb0;C or &#x2212;80&#xb0;C for up to 9 months for mutation analyses (<xref ref-type="bibr" rid="B40">El Messaoudi et al., 2013</xref>). Low concentrations of cfDNA are more prone to degradation (<xref ref-type="bibr" rid="B99">Martignano, 2019</xref>), reducing the storage time.</p>
<p>Polypropylene tubes are recommended for storing cfDNA before freezing as they absorb less DNA (<xref ref-type="bibr" rid="B100">Meddeb et al., 2019</xref>). The walls of LoBind tubes may absorb cfDNA, leading to lower sample concentrations (<xref ref-type="bibr" rid="B157">Ungerer et al., 2020</xref>). After freezing, extracted cfDNA should not undergo more than three freeze-thaw cycles. Shao et al. (<xref ref-type="bibr" rid="B136">Shao et al., 2012</xref>) found that increasing freeze-thaw cycles accelerates DNA degradation, with larger DNA fragments degrading most readily. Increasing DNA concentration can reduce degradation caused by repeated freeze-thaw cycles.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Conclusion and future directions</title>
<p>Achieving consensus on the various variables in preanalytical procedures is critical for ensuring the reliability and repeatability of cfDNA measurements. Notable progress, including the development of analytical methods and specialized products, has been made in recent years. However, many variables associated with preanalytical procedures remain undefined or inconsistent or interact with each other, particularly in the case of urine samples. The guidelines for preanalytical variables of blood samples have been developed and summarized in recent years (<xref ref-type="bibr" rid="B100">Meddeb et al., 2019</xref>; <xref ref-type="bibr" rid="B48">Greytak et al., 2020</xref>; <xref ref-type="bibr" rid="B82">Lampignano et al., 2020</xref>), offering valuable insights and inspiration for the standardization of preanalytical procedures for urine-derived cfDNA analysis. For instance, the addition of EDTA to collected samples (<xref ref-type="bibr" rid="B98">Markus et al., 2021</xref>) and timely processing of samples (<xref ref-type="bibr" rid="B188">Zhang et al., 2022</xref>) is beneficial to enhance cfDNA quality, and these protocols are also applicable to urine-derived cfDNA.</p>
<p>This review discusses and summarizes the crucial variables in each preanalytical stage for analyzing blood-derived and urine-derived cfDNA (<xref ref-type="fig" rid="F2">Figure 2</xref>). However, it is undeniable that achieving perfect coordination in the implementation of standardized preanalytical procedures is challenging due to objective conditions such as potential differences in funding and equipment resources among institutions or laboratories. Nevertheless, the following points can be explored further: (1) further verification of the impact of preanalytical variables on ucfDNA analysis; (2) development of multifunctional kits that efficiently extract short DNA fragments while preventing gDNA contamination; and (3) comparison and verification of measurement results from different internal reference genes when using PCR-based technologies for cfDNA quantification. These future directions will not only help address existing gaps in cfDNA preanalytical procedure standardization but also facilitate the broader and more accurate application of cfDNA analysis in clinical diagnostics and research.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Preanalytical factors affecting cell-free DNA analysis from blood and urine samples.</p>
</caption>
<graphic xlink:href="fcell-12-1385041-g002.tif"/>
</fig>
</sec>
</body>
<back>
<sec id="s4">
<title>Author contributions</title>
<p>HP: Writing&#x2013;original draft, Writing&#x2013;review and editing. MP: Writing&#x2013;original draft, Writing&#x2013;review and editing. ZZ: Writing&#x2013;original draft. CC: Writing&#x2013;original draft. XX: Writing&#x2013;original draft. SC: Writing&#x2013;original draft. SZ: Writing&#x2013;original draft. HZ: Writing&#x2013;original draft, Writing&#x2013;review and editing. KQ: Conceptualization, Funding acquisition, Supervision, Writing&#x2013;original draft, Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s5">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by Zhongnan Hospital of Wuhan University Science, Technology and Innovation Seed Fund, Project CXPY2020031 and ZLYNXM20200213.</p>
</sec>
<ack>
<p>The authors would like to thank Dr. Yuruo Chen, a diagram expert at Chinese Academy of Sciences, for editing the figure.</p>
</ack>
<sec sec-type="COI-statement" id="s6">
<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="s7">
<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>
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