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Application of plasma circulating KRAS mutations as a predictive biomarker for targeted treatment of pancreatic cancer.

Authors :
Lee, Mi Rim
Woo, Sang Myung
Kim, Min Kyeong
Han, Sung‐Sik
Park, Sang‐Jae
Lee, Woo Jin
Lee, Dong‐eun
Choi, Sun Il
Choi, Wonyoung
Yoon, Kyong‐Ah
Chun, Jung Won
Kim, Yun‐Hee
Kong, Sun‐Young
Source :
Cancer Science; Apr2024, Vol. 115 Issue 4, p1283-1295, 13p
Publication Year :
2024

Abstract

Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations in circulating tumor deoxyribonucleic acid (ctDNA) have been reported as representative noninvasive prognostic markers for pancreatic ductal adenocarcinoma (PDAC). Here, we aimed to evaluate single KRAS mutations as prognostic and predictive biomarkers, with an emphasis on potential therapeutic approaches to PDAC. A total of 128 patients were analyzed for multiple or single KRAS mutations (G12A, G12C, G12D, G12R, G12S, G12V, and G13D) in their tumors and plasma using droplet digital polymerase chain reaction (ddPCR). Overall, KRAS mutations were detected by multiplex ddPCR in 119 (93%) of tumor DNA and 68 (53.1%) of ctDNA, with a concordance rate of 80% between plasma ctDNA and tumor DNA in the metastatic stage, which was higher than the 44% in the resectable stage. Moreover, the prognostic prediction of both overall survival (OS) and progression‐free survival (PFS) was more relevant using plasma ctDNA than tumor DNA. Further, we evaluated the selective tumor‐suppressive efficacy of the KRAS G12C inhibitor sotorasib in a patient‐derived organoid (PDO) from a KRAS G12C‐mutated patient using a patient‐derived xenograft (PDX) model. Sotorasib showed selective inhibition in vitro and in vivo with altered tumor microenvironment, including fibroblasts and macrophages. Collectively, screening for KRAS single mutations in plasma ctDNA and the use of preclinical models of PDO and PDX with genetic mutations would impact precision medicine in the context of PDAC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13479032
Volume :
115
Issue :
4
Database :
Complementary Index
Journal :
Cancer Science
Publication Type :
Academic Journal
Accession number :
176535012
Full Text :
https://doi.org/10.1111/cas.16104