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8532 Background: Biomarker testing is essential for optimal therapeutic management of Non-Small lung Cancer (NSCLC). However, a not negligible percentage of patients (pts) is not tested in clinical practice for all the relevant actionable biomarkers. Biomarker testing is recommended in lung adenocarcinoma (LUAD), while in tumors with other histologies it is reserved when clinical features indicate a higher probability of an oncogenic driver. Histopathology report and biomarker testing are usually performed sequentially, which is time consuming and delays patient care. Herein we determined the distribution of actionable biomarkers across NSCLC histotypes and other clinic-demographic characteristics. Methods: This is an observational retrospective analysis on histologically confirmed NSCLC cases tested between 2014-2022 using FoundationOne/FoundationOneCDx assay. Histopathologies of all cases were centrally reviewed and confirmed by Board Certified Anatomic Pathologists. Results: 82,328 NSCLC pts were included. Actionable genomic alterations (GA) were found in 35.1% of the cases (Table). LUAD and adenosquamous (ASC) were more commonly associated with actionable GA (45.8% and 40.9%, respectively) as compared with sarcomatoid (29.1%), not otherwise specified (NOS) (27.6%), large cell (LCC) (21.1%), and squamous cell (LUSC) (6.5%) histologies. Sarcomatoid histology had the highest METex14 skipping mutations (muts) frequency (9.9% vs. 2.4% in LUAD). Tumor mutational burden (TMB) ≥10 Mut/Mb was associated with histology (50.9% in LCC, 40.8% in NOS, 39.1% in LUSC, and 36.3% in sarcomatoid vs. 31.2% in LUAD and 29.2% in ASC). Pts with actionable GA usually had a low TMB (80.9%). A significant correlation (p<0.005) between age and actionable GA was reported for BRAF/ ERBB2 muts, ALK/RET/ROS1 rearrangements (RE), and MET amplification. EGFR actionable muts and KRASG12C were more commonly observed in females, whereas no significant correlation between sex and other GA was observed. Finally, genetic ancestry analyses revealed a strong correlation between EGFR actionable muts and South/East Asian and American ancestries, but not for other GA. Conclusions: This is the largest NSCLC dataset analyzed for biomarker distribution across histologies, age, sex and genetic ancestry. This dataset confirms sufficient enough biomarker prevalence across LUAD and ASC carcinoma to be included in WHO nomenclature for lung tumors, and provides reassurance that cases with NOS, LCC and sarcomatoid histologies must be considered for biomarker workup. Table: see text
Russo et al. (Sat,) studied this question.