Effects of KRAS Genetic Interactions on Outcomes in Cancers of the Lung, Pancreas, and Colorectum

Author:

Grabski Isabella N.12ORCID,Heymach John V.3ORCID,Kehl Kenneth L.4ORCID,Kopetz Scott5ORCID,Lau Ken S.6ORCID,Riely Gregory J.7ORCID,Schrag Deborah7ORCID,Yaeger Rona7ORCID,Irizarry Rafael A.12ORCID,Haigis Kevin M.89ORCID

Affiliation:

1. 1Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.

2. 2Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

3. 3Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.

4. 4Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.

5. 5Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.

6. 6Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, Tennessee.

7. 7Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.

8. 8Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.

9. 9Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.

Abstract

Abstract Background: KRAS is among the most commonly mutated oncogenes in cancer, and previous studies have shown associations with survival in many cancer contexts. Evidence from both clinical observations and mouse experiments further suggests that these associations are allele- and tissue-specific. These findings motivate using clinical data to understand gene interactions and clinical covariates within different alleles and tissues. Methods: We analyze genomic and clinical data from the AACR Project GENIE Biopharma Collaborative for samples from lung, colorectal, and pancreatic cancers. For each of these cancer types, we report epidemiological associations for different KRAS alleles, apply principal component analysis (PCA) to discover groups of genes co-mutated with KRAS, and identify distinct clusters of patient profiles with implications for survival. Results: KRAS mutations were associated with inferior survival in lung, colon, and pancreas, although the specific mutations implicated varied by disease. Tissue- and allele-specific associations with smoking, sex, age, and race were found. Tissue-specific genetic interactions with KRAS were identified by PCA, which were clustered to produce five, four, and two patient profiles in lung, colon, and pancreas. Membership in these profiles was associated with survival in all three cancer types. Conclusions: KRAS mutations have tissue- and allele-specific associations with inferior survival, clinical covariates, and genetic interactions. Impact: Our results provide greater insight into the tissue- and allele-specific associations with KRAS mutations and identify clusters of patients that are associated with survival and clinical attributes from combinations of genetic interactions with KRAS mutations.

Funder

National Cancer Institute

National Institute of General Medical Sciences

National Science Foundation Graduate Research Fellowship Program

Cancer Research UK

Mark Foundation For Cancer Research

John and Georgia DallePezze

Ning Zhao & Ge Li Family Initiative for Lung Cancer Research and New Therapies

Publisher

American Association for Cancer Research (AACR)

Subject

Oncology,Epidemiology

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