Back to Search Start Over

Somatic targeted mutation profiling of colorectal cancer precursor lesions.

Authors :
Dos Santos W
Dos Reis MB
Porto J
de Carvalho AC
Matsushita M
Oliveira G
Syrjänen K
Reis RM
Guimarães DP
Source :
BMC medical genomics [BMC Med Genomics] 2022 Jun 28; Vol. 15 (1), pp. 143. Date of Electronic Publication: 2022 Jun 28.
Publication Year :
2022

Abstract

Background: Most colorectal cancers (CRC) arise from precursor lesions. This study aimed to characterize the mutation profile of colorectal cancer precursor lesions in a Brazilian population.<br />Methods: In total, 90 formalin-fixed paraffin-embedded colorectal precursor lesions, including 67 adenomas, 7 sessile serrated lesions, and 16 hyperplastic polyps, were analyzed by next-generation sequencing using a panel of 50 oncogenes and tumor suppressor genes. The genetic ancestry of the patients was estimated.<br />Results: Somatic driver mutations were identified in 66.7% of cases, including alterations in APC (32.2%), TP53 (20.0%), KRAS (18.9%), BRAF (13.3%) and EGFR (7.8%). Adenomas displayed a higher number of mutations, mainly in APC, compared to serrated polyps (73.1% vs. 47.8%, p = 0.026). Advanced adenomas had a significantly higher frequency of mutation in KRAS and a high overall mutation rate than early adenomas (92.9% vs. 59%, p = 0.006). A high degree of ancestry admixture was observed in the population studied, with a predominance of European components (mean of 73%) followed by African (mean of 11.3%). No association between genetic ancestry and type of lesions was found. The mutation profile of Brazilian colorectal precursor lesions exhibits alteration in APC, KRAS, TP53, and BRAF at different frequencies according to lesion type.<br />Conclusions: These results bestow the knowledge of CRC's biologic history and support the potential of these biomarkers for precursor lesions detection in CRC screening of the Brazilian population.<br /> (© 2022. The Author(s).)

Details

Language :
English
ISSN :
1755-8794
Volume :
15
Issue :
1
Database :
MEDLINE
Journal :
BMC medical genomics
Publication Type :
Academic Journal
Accession number :
35761395
Full Text :
https://doi.org/10.1186/s12920-022-01294-w