Your browser doesn't support javascript.
loading
Genetic determinants of lung cancer: Understanding the oncogenic potential of somatic missense mutations.
Dhakar, Ramgopal; Dakal, Tikam Chand; Sharma, Amit.
Afiliación
  • Dhakar R; Genome and Computational Biology Lab, Department of Biotechnology, Mohanlal Sukhadia, University, Udaipur 313001, Rajasthan, India.
  • Dakal TC; Genome and Computational Biology Lab, Department of Biotechnology, Mohanlal Sukhadia, University, Udaipur 313001, Rajasthan, India. Electronic address: tc.dakal@mlsu.ac.in.
  • Sharma A; Department of Neurosurgery, University Clinic Bonn, 53127 Bonn, Germany.
Genomics ; 114(4): 110401, 2022 07.
Article en En | MEDLINE | ID: mdl-35709927
ABSTRACT

BACKGROUND:

Treatment of lung cancer is getting more personalized nowadays and medical practitioners are moving away from conventional histology-driven empirical treatments, platinum-based chemotherapy, and other invasive surgical resections and have started adopting alternate therapies in which therapeutic targets are patient's molecular oncogenic drivers.

AIM:

The aim of the current study is to extract meaningful information from the online somatic mutation data (retrieved from cBioPortal) of 16 most significantly mutated oncogenes in non-small-cell lung cancer (NSCLC), namely EGFR, NRAS, KRAS, HER2 (ERBB2), RET, MET, ROS1, FGFR1, BRAF, AKT1, MEK1 (MAP2K1), PIK3CA, PTEN, DDR2, LKB1 (STK11) and ALK, for improving our understanding of the pathobiology of the lung cancer that can aid decision-making on critical clinical and therapeutic considerations.

METHODS:

Using an integrated approach comprising 4 steps, the oncogenic potential of 661 missense non-synonymous single nucleotide polymorphisms (nsSNPs) in 16 genes was ascertained using 2059 NSCLC (1575 lung adenocarcinomas, 484 lung squamous cell carcinomas) patients' online mutation data. The steps used comprise sequence/structure homology-based prediction, scoring of conservation of mutated residues and positions, prediction of resulting molecular and functional consequences using machine-learning and structure-guided approach.

RESULTS:

Out of a total of 661 nsSNPs analyzed, a set of 29 nsSNPs has been identified as conserved high confidence mutations in 10 of 16 genes relevant to the under study. Out of 29 conserved high confidence nsSNPs, 4 nsSNPs (EGFR N1094Y, BRAF M620I, DDR2 R307L, ALK P1350T) have been found to be putative novel rare genetic markers for NSCLC.

CONCLUSIONS:

The current study, the first of its kind, has provided a list of deleterious non-synonymous somatic mutations in a selected pool of oncogenes that can be considered as a promising target for future drug design and therapy for patients with lung adenocarcinomas and squamous cell carcinomas.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carcinoma de Células Escamosas / Carcinoma de Pulmón de Células no Pequeñas / Adenocarcinoma del Pulmón / Neoplasias Pulmonares Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Genomics Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carcinoma de Células Escamosas / Carcinoma de Pulmón de Células no Pequeñas / Adenocarcinoma del Pulmón / Neoplasias Pulmonares Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Genomics Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: India