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Updated: Jun 19, 2025

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
Published on: September 20, 2016
KRAS Mutation Subtypes and Their Association with Other Driver Mutations in Oncogenic Pathways
Koushik Mondal1,2, Mahesh Kumar Posa3, Revathi P Shenoy4
1Division of Basic & Translational Research, Saroj Gupta Cancer Centre & Research Institute, MG Road, Kolkata 700063, West Bengal, India.
Abstract:
The KRAS mutation stands out as one of the most influential oncogenic mutations, which directly regulates the hallmark features of cancer and interacts with other cancer-causing driver mutations. However, there remains a lack of precise information on their cooccurrence with mutated variants of KRAS and any correlations between KRAS and other driver mutations. To enquire about this issue, we delved into cBioPortal, TCGA, UALCAN, and Uniport studies. We aimed to unravel the complexity of KRAS and its relationships with other driver mutations. We noticed that G12D and G12V are the prevalent mutated variants of KRAS and coexist with the TP53 mutation in PAAD and CRAD, while G12C and G12V coexist with LUAD. We also noticed similar observations in the case of PIK3CA and APC mutations in CRAD. At the transcript level, a positive correlation exists between KRAS and PIK3CA and between APC and KRAS in CRAD. The existence of the co-mutation of KRAS and other driver mutations could influence the signaling pathway in the neoplastic transformation. Moreover, it has immense prognostic and predictive implications, which could help in better therapeutic management to treat cancer.
Insights
KRAS mutations are key drivers of cancer. This study reveals common KRAS variants co-occur with other mutations like TP53, PIK3CA, and APC, impacting cancer progression and treatment.
Area of Science:
- Oncology
- Genetics
- Bioinformatics
Background:
- KRAS mutations are crucial oncogenic drivers.
- Understanding co-occurrence with other driver mutations is limited.
- KRAS interactions influence cancer hallmarks.
Purpose of the Study:
- To investigate KRAS co-mutation patterns.
- To explore correlations between KRAS and other driver mutations.
- To assess prognostic and predictive implications.
Main Methods:
- Utilized cBioPortal, TCGA, UALCAN, and UniProt databases.
- Analyzed co-occurrence of KRAS variants with other mutations.
- Examined transcript-level correlations.
Main Results:
- G12D and G12V KRAS variants co-occur with TP53 in PAAD and CRAD.
- G12C and G12V KRAS variants co-occur with LUAD.
- KRAS shows positive transcript-level correlation with PIK3CA and APC in CRAD.
Conclusions:
- KRAS co-mutations with TP53, PIK3CA, and APC are prevalent in specific cancers.
- These co-mutations may influence cancer signaling pathways.
- Identifying co-mutation patterns has significant therapeutic implications.
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