<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zhang Y</submitter><funding>hunan provincial science and technology department</funding><pagination>245</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8525046</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>19(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>The combination of bevacizumab and epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) could prolong progression-free survival (PFS) in patients with EGFR-mutant advanced non-small-cell lung cancer (NSCLC). Our study investigated the clinical and molecular factors that affect the efficacy of first-generation EGFR-TKI with or without bevacizumab and identify the subset of patients who can benefit from combination therapy.&lt;h4>Methods&lt;/h4>Our study included 318 patients with EGFR-mutant locally advanced/advanced NSCLC treated with either first-generation EGFR-TKI combined with bevacizumab (A+T; n = 159) or EGFR-TKI monotherapy (T; n = 159). Two nomogram models to predict PFS and overall survival (OS), respectively, were constructed using two factors that</pubmed_abstract><journal>BMC medicine</journal><pubmed_title>Clinical and molecular feature-based nomogram model for predicting benefit from bevacizumab combined with first-generation EGFR-tyrosine kinase inhibitor (TKI) in EGFR-mutant advanced NSCLC.</pubmed_title><pmcid>PMC8525046</pmcid><funding_grant_id>2018RS3106, 2018SK50901, kq1801102, 2019-TJ-N04, 2019JJ50357, 2019SK4010, 2020JJ5340, 2020JJ3025</funding_grant_id><pubmed_authors>Yang H</pubmed_authors><pubmed_authors>Lizaso A</pubmed_authors><pubmed_authors>Liu J</pubmed_authors><pubmed_authors>Liu L</pubmed_authors><pubmed_authors>Zeng L</pubmed_authors><pubmed_authors>Yang N</pubmed_authors><pubmed_authors>Xu Q</pubmed_authors><pubmed_authors>Hou T</pubmed_authors><pubmed_authors>Qiu L</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Jiang W</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Peng L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Clinical and molecular feature-based nomogram model for predicting benefit from bevacizumab combined with first-generation EGFR-tyrosine kinase inhibitor (TKI) in EGFR-mutant advanced NSCLC.</name><description>&lt;h4>Background&lt;/h4>The combination of bevacizumab and epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) could prolong progression-free survival (PFS) in patients with EGFR-mutant advanced non-small-cell lung cancer (NSCLC). Our study investigated the clinical and molecular factors that affect the efficacy of first-generation EGFR-TKI with or without bevacizumab and identify the subset of patients who can benefit from combination therapy.&lt;h4>Methods&lt;/h4>Our study included 318 patients with EGFR-mutant locally advanced/advanced NSCLC treated with either first-generation EGFR-TKI combined with bevacizumab (A+T; n = 159) or EGFR-TKI monotherapy (T; n = 159). Two nomogram models to predict PFS and overall survival (OS), respectively, were constructed using two factors that</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Oct</publication><modification>2025-05-18T10:38:17.558Z</modification><creation>2025-05-18T10:38:17.558Z</creation></dates><accession>S-EPMC8525046</accession><cross_references><pubmed>34663309</pubmed><doi>10.1186/s12916-021-02118-x</doi></cross_references></HashMap>