<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13</volume><submitter>Xu Y</submitter><funding>Basic and Applied Basic Research Foundation of Guangdong Province</funding><funding>National Natural Science Foundation of China</funding><pubmed_abstract>&lt;h4>Background&lt;/h4>Minimal residual disease (MRD) is considered an essential factor leading to relapse within 2 years (early relapse) after radical surgery, which is challenging to be detected by conventional imaging. Circulating tumor DNA (ctDNA) provides a novel approach for detecting MRD and predicting clinical outcomes. Here, we tried to construct a fixed panel for plasma-only ctDNA NGS to enable tumor-uninformed MRD detection in hepatocellular carcinoma (HCC).&lt;h4>Methods&lt;/h4>Here, we performed the followings: (i) profiling genomic alteration spectrum of ctDNA from the Chinese HCC cohort consisting of 493 individuals by NGS; (ii) screening of MRD monitoring genes; and (iii) performance evaluation of MRD monitoring genes in predicting early relapse in the ZJZS2020 cohort comprising 20 HCC patients who underwent curative resection.&lt;h4>Results&lt;/h4>A total of 493 plasma samples from the Chinese HCC cohort were detected using a 381/733-gene NGS panel to characterize the mutational spectrum of ctDNA. Most patients (94.1%, 464/493) had at least one mutation in ctDNA. The variants fell most frequently in &lt;i>TP53&lt;/i> (45.1%), &lt;i>LRP1B&lt;/i> (20.2%), &lt;i>TERT&lt;/i> (20.2%), &lt;i>FAT1&lt;/i> (16.2%), and &lt;i>CTNNB1&lt;/i> (13.4%). By customized filtering strategy, 13 MRD monitoring genes were identified, and any plasma sample with one or more MRD monitoring gene mutations was considered MRD-positive. In the ZJZS2020 cohort, MRD positivity presented a sensitivity of 75% (6/8) and a specificity of 100% (6/6) in identifying early postoperative relapse. The Kaplan-Meier analysis revealed a significantly short relapse-free survival (RFS; median RFS, 4.2 months &lt;i>vs&lt;/i>. NR, P=0.002) in the MRD-positive patients versus those with MRD negativity. Cox regression analyses revealed MRD positivity as an independent predictor of poor RFS (HR 13.00, 95% CI 2.60-69.00, P=0.002).&lt;h4>Conclusions&lt;/h4>We successfully developed a 13-gene panel for plasma-only MRD detection, which was effective and convenient for predicting the risk of early postoperative relapse in HCC.</pubmed_abstract><journal>Frontiers in oncology</journal><pagination>1119744</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10028131</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Plasma-only circulating tumor DNA analysis detects minimal residual disease and predicts early relapse in hepatocellular carcinoma patients undergoing curative resection.</pubmed_title><pmcid>PMC10028131</pmcid><pubmed_authors>Wen Y</pubmed_authors><pubmed_authors>Fu S</pubmed_authors><pubmed_authors>He G</pubmed_authors><pubmed_authors>Cai J</pubmed_authors><pubmed_authors>Huang M</pubmed_authors><pubmed_authors>Cai L</pubmed_authors><pubmed_authors>Zhong X</pubmed_authors><pubmed_authors>Chen C</pubmed_authors><pubmed_authors>Cheng Y</pubmed_authors><pubmed_authors>Liao H</pubmed_authors><pubmed_authors>Zhang C</pubmed_authors><pubmed_authors>Zhong K</pubmed_authors><pubmed_authors>Xu Y</pubmed_authors><pubmed_authors>Chen T</pubmed_authors><pubmed_authors>Pan M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Plasma-only circulating tumor DNA analysis detects minimal residual disease and predicts early relapse in hepatocellular carcinoma patients undergoing curative resection.</name><description>&lt;h4>Background&lt;/h4>Minimal residual disease (MRD) is considered an essential factor leading to relapse within 2 years (early relapse) after radical surgery, which is challenging to be detected by conventional imaging. Circulating tumor DNA (ctDNA) provides a novel approach for detecting MRD and predicting clinical outcomes. Here, we tried to construct a fixed panel for plasma-only ctDNA NGS to enable tumor-uninformed MRD detection in hepatocellular carcinoma (HCC).&lt;h4>Methods&lt;/h4>Here, we performed the followings: (i) profiling genomic alteration spectrum of ctDNA from the Chinese HCC cohort consisting of 493 individuals by NGS; (ii) screening of MRD monitoring genes; and (iii) performance evaluation of MRD monitoring genes in predicting early relapse in the ZJZS2020 cohort comprising 20 HCC patients who underwent curative resection.&lt;h4>Results&lt;/h4>A total of 493 plasma samples from the Chinese HCC cohort were detected using a 381/733-gene NGS panel to characterize the mutational spectrum of ctDNA. Most patients (94.1%, 464/493) had at least one mutation in ctDNA. The variants fell most frequently in &lt;i>TP53&lt;/i> (45.1%), &lt;i>LRP1B&lt;/i> (20.2%), &lt;i>TERT&lt;/i> (20.2%), &lt;i>FAT1&lt;/i> (16.2%), and &lt;i>CTNNB1&lt;/i> (13.4%). By customized filtering strategy, 13 MRD monitoring genes were identified, and any plasma sample with one or more MRD monitoring gene mutations was considered MRD-positive. In the ZJZS2020 cohort, MRD positivity presented a sensitivity of 75% (6/8) and a specificity of 100% (6/6) in identifying early postoperative relapse. The Kaplan-Meier analysis revealed a significantly short relapse-free survival (RFS; median RFS, 4.2 months &lt;i>vs&lt;/i>. NR, P=0.002) in the MRD-positive patients versus those with MRD negativity. Cox regression analyses revealed MRD positivity as an independent predictor of poor RFS (HR 13.00, 95% CI 2.60-69.00, P=0.002).&lt;h4>Conclusions&lt;/h4>We successfully developed a 13-gene panel for plasma-only MRD detection, which was effective and convenient for predicting the risk of early postoperative relapse in HCC.</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2025-04-19T07:03:19.765Z</modification><creation>2025-04-19T07:03:19.765Z</creation></dates><accession>S-EPMC10028131</accession><cross_references><pubmed>36959801</pubmed><doi>10.3389/fonc.2023.1119744</doi></cross_references></HashMap>