<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Sung JY</submitter><funding>Korea Institute of Oriental Medicine</funding><funding>National Research Foundation of Korea</funding><pagination>2109</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9495802</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>10(9)</volume><pubmed_abstract>This study aimed to determine the association between TMB and treatment outcomes in patients with epidermal growth factor receptor (EGFR)-mutated lung cancer that were treated with tyrosine kinase inhibitors (TKIs). The TMB was assessed using a 409-gene targeted next-generation sequencing panel. We compared the response rate (RR), progression-free survival (PFS), overall survival (OS), and frequency of secondary T790M mutations among the different TMB groups. The median TMB of the study population (n = 88) was 3.36/megabases. We divided 52 (59%) and 36 (41%) patients into the low and high TMB groups, respectively. A high TMB level was significantly associated with liver metastasis and more advanced stage (all &lt;i>p&lt;/i> &amp;lt; 0.05). RR was significantly lower in the high TMB group than that of the low TMB group (50.0% vs. 80.7%, all &lt;i>p&lt;/i> = 0.0384). In multivariate analysis, high TMB was independently associated with a shorter PFS (hazard ratio [HR] = 1.80, &lt;i>p&lt;/i> = 0.0427) and shorter OS (HR = 2.05, &lt;i>p&lt;/i> = 0.0397) than that of the low TMB group. Further, high TMB was independently associated with decreased T790M mutation development. These results suggest that high TMB may be a predictive biomarker for adverse treatment outcomes and represent a patients' subgroup warranting tailored therapeutic approaches.</pubmed_abstract><journal>Biomedicines</journal><pubmed_title>High Tumor Mutation Burden Is Associated with Poor Clinical Outcome in EGFR-Mutated Lung Adenocarcinomas Treated with Targeted Therapy.</pubmed_title><pmcid>PMC9495802</pmcid><funding_grant_id>KSN2022240</funding_grant_id><funding_grant_id>2019R1F1A1041812</funding_grant_id><pubmed_authors>Lee SH</pubmed_authors><pubmed_authors>Park DW</pubmed_authors><pubmed_authors>Sung JY</pubmed_authors></additional><is_claimable>false</is_claimable><name>High Tumor Mutation Burden Is Associated with Poor Clinical Outcome in EGFR-Mutated Lung Adenocarcinomas Treated with Targeted Therapy.</name><description>This study aimed to determine the association between TMB and treatment outcomes in patients with epidermal growth factor receptor (EGFR)-mutated lung cancer that were treated with tyrosine kinase inhibitors (TKIs). The TMB was assessed using a 409-gene targeted next-generation sequencing panel. We compared the response rate (RR), progression-free survival (PFS), overall survival (OS), and frequency of secondary T790M mutations among the different TMB groups. The median TMB of the study population (n = 88) was 3.36/megabases. We divided 52 (59%) and 36 (41%) patients into the low and high TMB groups, respectively. A high TMB level was significantly associated with liver metastasis and more advanced stage (all &lt;i>p&lt;/i> &amp;lt; 0.05). RR was significantly lower in the high TMB group than that of the low TMB group (50.0% vs. 80.7%, all &lt;i>p&lt;/i> = 0.0384). In multivariate analysis, high TMB was independently associated with a shorter PFS (hazard ratio [HR] = 1.80, &lt;i>p&lt;/i> = 0.0427) and shorter OS (HR = 2.05, &lt;i>p&lt;/i> = 0.0397) than that of the low TMB group. Further, high TMB was independently associated with decreased T790M mutation development. These results suggest that high TMB may be a predictive biomarker for adverse treatment outcomes and represent a patients' subgroup warranting tailored therapeutic approaches.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Aug</publication><modification>2025-04-21T16:09:32.502Z</modification><creation>2025-02-19T00:42:14.006Z</creation></dates><accession>S-EPMC9495802</accession><cross_references><pubmed>36140210</pubmed><doi>10.3390/biomedicines10092109</doi></cross_references></HashMap>