Literature DB >> 33217678

Genetic heterogeneity and predictive biomarker for pulmonary sarcomatoid carcinomas.

Jing Qin1, Bo Chen2, Chenghui Li3, Junrong Yan4, Hongyang Lu5.   

Abstract

PURPOSE: The aim of this study is to investigate the genetic heterogeneity (carcinomatous vs. sarcomatous components) and predictive biomarkers in patients with pulmonary sarcomatoid carcinoma (PSC).
METHODS: Genetic alterations and biomarkers of immunotherapy were performed in a discovery set (n = 6) of PSC. Next-generation sequencing (NGS) on a pan-cancer gene panel was applied to detect the genetic alterations in each component, and the respective mutation profiling and tumor mutation burden (TMB) were compared as well. Immunohistochemistry (IHC) assay with SP263 antibody was used to detect the protein expression of programmed death-ligand 1 (PD-L1) in each component.
RESULTS: Comparative genetic analysis revealed that the separate carcinomatous and sarcomatous components shared strikingly common mutations. TP53 (4/6, 66.7%) was the most common genetic alteration in 6 PSC patients. MET exon 14 skipping was detected in one case, accounting for 16.7%. An EZR-ROS1 fusion (EZR: intron10-ROS1: intron32) was identified in one case. The TMB of the two components was similar. Nevertheless, significantly higher PD-L1 expression was found in carcinomatous components compared to sarcomatous components. MDM2 amplification was detected in 2/6 (33.3%) of cases and STK11 mutation in 1/6 (16.7%) of cases.
CONCLUSIONS: PSC containing carcinomatous and sarcomatous components had a mild heterogeneity; the two components may evolve from common ancestral cells. High PD-L1 expression suggests that immunotherapy could be used as a potential therapy for PSC patients, while patients with negative immune-responsive genes need to be screened out. Altogether, these findings further highlight that the detection of genetic alteration and PD-L1 expression plays an important role in treatment of patients with PSC.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Genetic heterogeneity; Potential therapeutic strategies; Programmed death ligand 1; Pulmonary sarcomatoid carcinoma; Tumor mutation burden

Year:  2020        PMID: 33217678     DOI: 10.1016/j.cancergen.2020.11.004

Source DB:  PubMed          Journal:  Cancer Genet


  3 in total

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Authors:  Lin Zhang; Weihao Lin; Zhenlin Yang; Renda Li; Yibo Gao; Jie He
Journal:  J Oncol       Date:  2022-03-25       Impact factor: 4.375

2.  Primary intrathoracic liposarcomas: A clinicopathologic and molecular study of 43 cases in one of the largest medical centers of China.

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3.  Survival Analysis and Prediction Model for Pulmonary Sarcomatoid Carcinoma Based on SEER Database.

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  3 in total

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