Your browser doesn't support javascript.

Biblioteca Virtual en Salud

Hipertensión

Home > Búsqueda > ()
XML
Imprimir Exportar

Formato de exportación:

Exportar

Email
Adicionar mas contactos
| |

Complete screening of exons 2, 3, and 4 of kras and nras genes reveals a higher number of clinically relevant mutations than food and drug administration quantitative polymerase chain reaction-based commercial kits

Sánchez-Ibarra, Héctor E.; Reyes-Cortes, Luisa M.; López-Tavera, Esteban; Luna-Aguirre, Claudia M.; Barrera-Saldaña, Hugo A..
Rev. invest. clín ; 72(6): 337-343, Nov.-Dec. 2020. tab
Artículo en Inglés | LILACS | ID: biblio-1289728
Abstract

Background:

The presence of clinically relevant mutations in KRAS and NRAS genes determines the response of anti-epidermal growth factor receptor antibody therapy for metastatic colorectal cancer (mCRC). The only quantitative polymerase chain reaction (qPCR)-based diagnostic tests approved by the Food and Drug Administration (FDA) screen merely for mutations in codons 12 and 13 of KRAS.

Objective:

The objective of the study was to study the frequency of clinically relevant mutations in KRAS and NRAS genes that are not included in FDA-approved qPCR tests.

Methods:

Formalin-fixed paraffin-embedded tumor specimens from 1113 mCRC Mexican patients from different health institutions across the country were analyzed by Sanger sequencing for KRAS mutations in exons 2, 3, and 4. Furthermore, 83 were analyzed in exons 2, 3, and 4 of NRAS.

Results:

From the specimens tested for KRAS, 33.69% harbored a mutation. From these, 71.77% were in codon 12 and 27.69% in codon 13 (both located in exon 2). Codons 59 (exon 3) and 146 (exon 4) accounted for the remaining 0.54%. From the 83 specimens, in which NRAS was analyzed, three mutations were found in codon 12 (3.61%). Approximately 6% of RAS mutated specimens would have been falsely reported as RAS wild type if an FDA-approved qPCR diagnostic test had been used.

Conclusions:

While these kits based on qPCR can be very practical and highly sensitive, their mutation coverage ignores mutations from poorly genetically characterized populations.
Biblioteca responsable: BR1.1