The Impact of Variant Allele Frequency in EGFR Mutated NSCLC Patients on Targeted Therapy.

EGFR NSCLC TKI VAF allele frequency allelic frequency

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2021
Historique:
received: 21 12 2020
accepted: 05 03 2021
entrez: 19 4 2021
pubmed: 20 4 2021
medline: 20 4 2021
Statut: epublish

Résumé

EGFR mutations represent the most common currently targetable oncogenic driver in non-small cell lung cancer. There has been tremendous progress in targeting this alteration over the course of the last decade, and third generation tyrosine kinase inhibitors offer previously unseen survival rates among these patients. Nonetheless, a better understanding is still needed, as roughly a third of patients do not respond to targeted therapy and there is an important heterogeneity among responders. Allelic frequency, or the variant EGFR allele frequency, corresponds to the fraction of sequencing reads harboring the mutation. The allelic fraction is influenced by the proportion of tumor cells in the sample, the presence of copy number alterations but also, most importantly, by the proportion of cells within the tumor that carry the mutation. Mutations that occur early in tumor evolution, often called clonal or truncal, have a higher allelic frequency than late, subclonal mutations, and are more often drivers of cancer evolution and attractive therapeutic targets. Most, but not all, EGFR mutations are clonal. Although an exact estimate of clonal proportion is hard to derive computationally, the allelic frequency is readily available to clinicians and could be a useful surrogate. We hypothesized that tumors with low allelic frequency of the EGFR mutation will respond less favorably to targeted treatment.

Identifiants

pubmed: 33869038
doi: 10.3389/fonc.2021.644472
pmc: PMC8044828
doi:

Types de publication

Journal Article

Langues

eng

Pagination

644472

Informations de copyright

Copyright © 2021 Friedlaender, Tsantoulis, Chevallier, De Vito and Addeo.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Science. 2002 Jul 5;297(5578):63-4
pubmed: 12098689
PLoS One. 2018 Nov 1;13(11):e0201682
pubmed: 30383772
Mol Cancer. 2018 Feb 19;17(1):48
pubmed: 29455673
JCO Precis Oncol. 2019;3:
pubmed: 31192313
Cancer Genomics Proteomics. 2020 Sep-Oct;17(5):597-603
pubmed: 32859638
Ann Oncol. 2019 Feb 1;30(2):171-210
pubmed: 30596843
Clin Transl Med. 2020 Feb 17;9(1):17
pubmed: 32067121
Cancer Discov. 2017 Jun;7(6):596-609
pubmed: 28336552
Transl Lung Cancer Res. 2015 Feb;4(1):36-54
pubmed: 25806345
BMC Cancer. 2019 Nov 8;19(1):1068
pubmed: 31703574
N Engl J Med. 2017 Jun 1;376(22):2109-2121
pubmed: 28445112
Ann Oncol. 2014 Oct;25(10):1948-1953
pubmed: 25009007
Expert Rev Anticancer Ther. 2020 Nov;20(11):931-937
pubmed: 32870120
J Mol Diagn. 2018 Jul;20(4):550-564
pubmed: 29787863
J Surg Res. 2018 Oct;230:181-185
pubmed: 30072189
J Thorac Oncol. 2014 Feb;9(2):154-62
pubmed: 24419411
Sci Rep. 2018 May 16;8(1):7735
pubmed: 29769535
Cancers (Basel). 2017 May 17;9(5):
pubmed: 28513565
Oncotarget. 2017 Jul 18;8(29):48248-48252
pubmed: 28525386
Br J Cancer. 2018 Nov;119(10):1252-1258
pubmed: 30397287

Auteurs

Alex Friedlaender (A)

Oncology Department, University Hospital Geneva, Geneva, Switzerland.

Petros Tsantoulis (P)

Oncology Department, University Hospital Geneva, Geneva, Switzerland.

Mathieu Chevallier (M)

Oncology Department, University Hospital Geneva, Geneva, Switzerland.

Claudio De Vito (C)

Pathology Department, University Hospital Geneva, Geneva, Switzerland.

Alfredo Addeo (A)

Oncology Department, University Hospital Geneva, Geneva, Switzerland.

Classifications MeSH