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Dataset Information

Analysis of whole-exome data of cfDNA and the tumor tissue of non-small cell lung cancer.


ABSTRACT:

Background

Non-small cell lung cancer (NSCLC) has the highest cancer mortality rate in the world, but currently there is no effective method of dynamic monitoring. Gene mutation is an important factor in tumorigenesis and can be detected using high-throughput sequencing technology. This study aimed to analyze the driving genes in the tumor of NSCLC patients by whole exon sequencing, and to compare and analyze the subclones of the tumor at different time points.

Methods

We collected 87 cases of NSCLC tumor tissues, para-cancer tissues, and peripheral blood samples for detecting cell-free DNAs (cfDNAs) from January 2016 to December 2018, and whole-exome sequencing was performed. The gene mutation map of NSCLC was drawn in detail by second-generation sequencing data analysis an

SUBMITTER: Wu Y 

PROVIDER: S-EPMC8506706 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature