Genetic characterisation of sarcomatoid carcinomas reveals multiple novel actionable mutations and identifies <i>KRAS</i> mutation as a biomarker of poor prognosis.

Ding, Ying; Shao, Yang; Na, Chenglong; Yin, Jiani C; Hua, Hongjin; Tao, Ran; Jiang, Yue; Hu, Ran et al. · J Med Genet · 2022

retrospective_cohort · Level III

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Abstract

Sarcomatoid component occurs in various epithelial malignancies and is associated with an aggressive disease course and poor clinical outcome. As it is largely rare, the molecular events underlying sarcomatoid carcinomas (SCs) remain poorly characterised. Here, we performed targeted next-generation sequencing (NGS) on patients with surgically resected SCs comprising distinct tissues of origin. A total of 71 patients with pathological diagnosis of sarcomatoid carcinomas and underwent surgery were retrospectively enrolled in this study. Overall survival (OS) was defined as the time from surgery to death from any cause. Patients alive or lost to follow-up were censored. Genomic DNA from formalin-fixed paraffin-embedded samples was extracted for NGS and tumour mutation burden (TMB) analysis. In general, SCs occurred more commonly in males, except those of the gallbladder. SCs of the lung and the larynx were associated with a higher proportion of smokers (p=0.0015). Alterations in <i>TP53</i>, <i>RB1</i>, <i>TERT</i> and <i>KRAS</i> were highly frequent, with <i>KRAS</i> mutations being a biomarker of poor prognosis (median OS=8 vs 16 months, p=0.03). Multiple alterations in potentially actionable genes, including <i>ROS1</i> and <i>NTRK1</i> fusions and <i>ERBB2</i> amplification, were detected in the extra-pulmonary cohort. A relatively high proportion (30%) of patients with extra-pulmonary SC had high TMB, with a median of 5.39 mutations per Mb. Lastly, copy number variations were common in SCs, and were non-overlapping between the primary and metastatic tumours. Taken together, our results suggest that comprehensive genetic testing may be necessary to inform treatment options and identify prognostic biomarkers.

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