NDLI: Combined KRAS and TP53 mutation in patients with colorectal cancer enhance chemoresistance to promote postoperative recurrence and metastasis

Content Provider	Springer Nature : BioMed Central
Author	Tang, YiMeng Fan, Yao
Abstract	The response of patients with colorectal cancer to chemotherapy is tightly correlated with their genomic variation. Among these, APC, TP53, KRAS, PIK3CA are the most frequently mutated genes in advanced colorectal cancer patients. However, the precise correlation between these mutations and the therapeutic effects of chemotherapy remains elusive. Here, we conducted genome sequencing to identify commonly mutated genes in colorectal cancer patients and comprehensively assessed their sensitivity to chemotherapy drugs by monitoring computer tomography (CT) scans and carcinoembryonic antigen (CEA) levels. Surprisingly, we discovered that the objective response rate to the standard first-line chemotherapy among patients harboring combined KRAS and TP53 mutations is dismal, and these patients are predisposed to recurrence and metastasis. Furthermore, advanced-stage patients with concurrent KRAS and TP53 mutations are susceptible to developing cancer-associated cachexia due to chemotherapy resistance or forced cessation of treatment. Our findings underscore the urgent need for the development of innovative and novel chemotherapeutic strategies to effectively manage colorectal cancer patients harboring combined KRAS and TP53 mutations.
Related Links	https://bmccancer.biomedcentral.com/counter/pdf/10.1186/s12885-024-12776-8.pdf
Ending Page	8
Page Count	8
Starting Page	1
File Format	HTM / HTML
ISSN	14712407
DOI	10.1186/s12885-024-12776-8
Journal	BMC Cancer
Issue Number	1
Volume Number	24
Language	English
Publisher	BioMed Central
Publisher Date	2024-09-17
Access Restriction	Open
Subject Keyword	Cancer Research Oncology Surgical Oncology Health Promotion and Disease Prevention Biomedicine Medicine Public Health Colorectal cancer KRAS TP53 Genetic mutation Chemoresistance Medicine/Public Health
Content Type	Text
Resource Type	Article
Subject	Cancer Research Oncology Genetics
Journal Impact Factor	3.4/2023
5-Year Journal Impact Factor	3.8/2023

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