<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8(1)</volume><submitter>Boscolo Bragadin A</submitter><pubmed_abstract>High heterogeneity in clinical benefit characterizes the use of immune checkpoint inhibitors (ICIs) in non-small cell lung cancer (NSCLC). We prospectively enrolled 113 advanced NSCLC patients treated with ICIs and performed liquid biopsy at the time of ICI start (T1), after 3 weeks (T2) and at the time of radiological evaluation (T3). Molecular variables were associated with outcome endpoints: cfDNA quantification, its dynamic change (∆T2-T1), variant allele frequency (VAF) of the gene with the highest frequency detected at baseline with NGS (maxVAF) and its dynamic change (∆T2-T1). At multivariate analysis, PD-L1 negativity, T1 cfDNA, cfDNA increase (∆T2-T1), and T2 VAF were significantly associated with shorter progression-free survival (PFS); PD-L1 negativity, squamous histology, T1 cfDNA, cfDNA (∆T2-T1) increase, and T2 maxVAF affected overall survival (OS). Among high PD-L1 expressing patients treated in first-line, elevated T2 maxVAF and cfDNA increase (∆T2-T1) correlated with worse PFS; higher T2 maxVAF and cfDNA increase (∆T2-T1) with worse OS. Derived integrated models were used to build nomograms and categorize different risk groups.</pubmed_abstract><journal>NPJ precision oncology</journal><pagination>234</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11486993</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Longitudinal liquid biopsy predicts clinical benefit from immunotherapy in advanced non-small cell lung cancer.</pubmed_title><pmcid>PMC11486993</pmcid><pubmed_authors>Carlet J</pubmed_authors><pubmed_authors>Guarneri V</pubmed_authors><pubmed_authors>Attili I</pubmed_authors><pubmed_authors>Pavan A</pubmed_authors><pubmed_authors>Del Bianco P</pubmed_authors><pubmed_authors>Indraccolo S</pubmed_authors><pubmed_authors>Bonanno L</pubmed_authors><pubmed_authors>Marra L</pubmed_authors><pubmed_authors>Zulato E</pubmed_authors><pubmed_authors>Boscolo Bragadin A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Longitudinal liquid biopsy predicts clinical benefit from immunotherapy in advanced non-small cell lung cancer.</name><description>High heterogeneity in clinical benefit characterizes the use of immune checkpoint inhibitors (ICIs) in non-small cell lung cancer (NSCLC). We prospectively enrolled 113 advanced NSCLC patients treated with ICIs and performed liquid biopsy at the time of ICI start (T1), after 3 weeks (T2) and at the time of radiological evaluation (T3). Molecular variables were associated with outcome endpoints: cfDNA quantification, its dynamic change (∆T2-T1), variant allele frequency (VAF) of the gene with the highest frequency detected at baseline with NGS (maxVAF) and its dynamic change (∆T2-T1). At multivariate analysis, PD-L1 negativity, T1 cfDNA, cfDNA increase (∆T2-T1), and T2 VAF were significantly associated with shorter progression-free survival (PFS); PD-L1 negativity, squamous histology, T1 cfDNA, cfDNA (∆T2-T1) increase, and T2 maxVAF affected overall survival (OS). Among high PD-L1 expressing patients treated in first-line, elevated T2 maxVAF and cfDNA increase (∆T2-T1) correlated with worse PFS; higher T2 maxVAF and cfDNA increase (∆T2-T1) with worse OS. Derived integrated models were used to build nomograms and categorize different risk groups.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Oct</publication><modification>2025-04-04T19:45:35.348Z</modification><creation>2025-04-04T19:45:35.348Z</creation></dates><accession>S-EPMC11486993</accession><cross_references><pubmed>39420036</pubmed><doi>10.1038/s41698-024-00704-9</doi></cross_references></HashMap>