Identification of genetic variations associated with drug resistance in non-small cell lung cancer patients undergoing systemic treatment

8Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Non-small cell lung cancer (NSCLC) is characterized by relatively rapid response to systemic treatments yet inevitable resistance and predisposed to distant metastasis. We thus aimed at performing sequencing analysis to determine genomic events and underlying mechanisms concerning drug resistance in NSCLC. We performed targeted sequencing of 40 medication-relevant genes on plasma samples from 98 NSCLC patients and analyzed impact of genetic alterations on clinical presentation as well as response to systemic treatments. Profiling of multi-omics data from 1024 NSCLC tissues in public datasets was carried out for comparison and validation of identified molecular events implicated in resistance. A genetic association of CYP2D6 deletion with drug resistance was identified through circulating tumor DNA (ctDNA) profiling and response assessment. FCGR3A amplification was potentially involved in resistance to EGFR inhibitors. We further verified our findings in tissue samples and focused on potential resistance mechanisms, which uncovered that depleted CYP2D6 affected a set of genes involved in EMT, oncogenic signaling as well as inflammatory pathways. Tumor microenvironment analysis revealed that NSCLC with CYP2D6 loss manifested increased levels of immunomodulatory gene expressions, PD-L1 expression, relatively high mutational burden and lymphocyte infiltration. DNA methylation alterations were also found to be correlated with mRNA expressions and copy numbers of CYP2D6. Finally, MEK inhibitors were identified by CMap as the prospective therapeutic drugs for CYP2D6 deletion. These analyses identified novel resistance mechanisms to systemic NSCLC treatments and had significant implications for the development of new treatment strategies.

References Powered by Scopus

The Sequence Alignment/Map format and SAMtools

41102Citations
N/AReaders
Get full text

ClusterProfiler: An R package for comparing biological themes among gene clusters

20909Citations
N/AReaders
Get full text

A global reference for human genetic variation

11555Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Serum Protein Fishing for Machine Learning-Boosted Diagnostic Classification of Small Nodules of Lung

12Citations
N/AReaders
Get full text

Development and Validation of an ADME-Related Gene Signature for Survival, Treatment Outcome and Immune Cell Infiltration in Head and Neck Squamous Cell Carcinoma

12Citations
N/AReaders
Get full text

FCGR3A: A new biomarker with potential prognostic value for prostate cancer

3Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Luo, R., Ge, C., Xiao, X., Song, J., Miao, S., Tang, Y., … Ran, L. (2021). Identification of genetic variations associated with drug resistance in non-small cell lung cancer patients undergoing systemic treatment. Briefings in Bioinformatics, 22(6). https://doi.org/10.1093/bib/bbab187

Readers over time

‘21‘22‘23‘24‘2502468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 6

67%

Researcher 3

33%

Readers' Discipline

Tooltip

Medicine and Dentistry 3

33%

Biochemistry, Genetics and Molecular Bi... 3

33%

Nursing and Health Professions 2

22%

Pharmacology, Toxicology and Pharmaceut... 1

11%

Save time finding and organizing research with Mendeley

Sign up for free
0