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Dataset Information

Tumor grade-associated genomic mutations in Chinese patients with non-small cell lung cancer.


ABSTRACT:

Background

Lung cancer is the most prevalent cancer worldwide and accounts for approximately 20% of cancer-related death in China every year. High-grade lung cancer poses a significant threat to patients, and developing a novel treatment for these patients requires an understanding of its underlying mechanism.

Methods

Chinese patients with lung cancer were enrolled. The tumor samples were collected by surgery or puncture and applied for next-generation sequencing. A panel of pan-cancer genes was targeted, and the sequencing depth was set to over 1,000 to improve the sensitivity of detecting mutations. Short-length mutations (substitution, insertion, and deletion), copy number variation, and gene fusion were called. Gene mutations were compared between low-grade, middle-grade

SUBMITTER: Wang Y 

PROVIDER: S-EPMC10067928 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature