MKNK1 SNP rs8602 to predict outcome for mCRC patients treated with first-line FOLFIRI and bevacizumab: Data from FIRE-3 trial.

Authors

null

Martin D. Berger

Division of Medical Oncology, USC Norris Comprehensive Cancer Center, Los Angeles, CA

Martin D. Berger , Sebastian Stintzing , Volker Heinemann , Dongyun Yang , Yu Sunakawa , Yan Ning , Satoshi Matsusaka , Satoshi Okazaki , Yuji Miyamoto , Mitsukuni Suenaga , Marta Schirripa , Jordan David West , Diana L. Hanna , Afsaneh Barzi , Wu Zhang , Heinz-Josef Lenz

Organizations

Division of Medical Oncology, USC Norris Comprehensive Cancer Center, Los Angeles, CA, Department of Hematology and Oncology, Klinikum Grosshadern and Comprehensive Cancer Center, University Hospital Grosshadern, LMU Munich, Munich, Germany, Comprehensive Cancer Center, Ludwig-Maximilian-University of Munich, Munich, Germany, USC Norris Comprehensive Cancer Center, Los Angeles, CA, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, University of Southern California, Norris Comprehensive Cancer Center, Los Angeles, CA, University of Southern California, Los Angeles, CA

Research Funding

NIH

Background: The MAPK-interacting kinase 1 (MKNK1) is localized downstream of the RAS/RAF/ERK and the MAP3K1/MKK/p38 signaling pathway. Through phosphorylation MKNK1 regulates the function of eukaryotic translation initiation factor 4E (eIF4E), a key player in translational control, whose expression is mostly upregulated in cancer patients. Preclinical data also suggest an influence of MKNK1 on angiogenesis and endothelial cell migration. We therefore hypothesize that variations in the MKNK1 gene may predict outcome in patients (pts) with metastatic colorectal cancer (mCRC) treated with first-line FOLFIRI and bevacizumab (bev). Methods: 295 pts with mCRC enrolled in the phase III FIRE-3 trial and treated with first-line FOLFIRI and bev were included in this study. Genomic DNA was extracted from formalin fixed paraffin embedded tissue. 6 functional SNPs in 6 genes (MKNK1, EIF4E, EIF4G, 4EBP1, hnRNPA1 and Spry2) were analyzed by PCR-based direct sequencing. Candidate SNPs and their correlation with outcome were analyzed by uni- and multivariate analysis. Results: Baseline characteristics were as follows: female/male = 99/196; median age = 65y; primary tumor site right/left = 74/215;median PFS/OS = 10.2/24.2 months. The MKNK1 rs8602 SNP showed significant association with progression-free survival (PFS). C allele carriers had a longer median PFS than those with an AA genotype (10.3 vs 7.7 months) in both univariate (HR 1.79, p = 0.009) and multivariate analysis (HR 1.80, p = 0.019). Additionally males and pts with left-sided cancers harboring any C allele had a better overall survival (OS) than those with an AA genotype (26.1 vs 18.2 months, HR 1.94, p = 0.025) and (28.1 vs 18.4 months, HR 2.28, p = 0.002) respectively. These associations remained significant in multivariate analysis (HR 1.94, p = 0.047 and HR 2.28, p = 0.008). Conclusions: Our results provide the first evidence that the MKNK1 SNP rs12218 might serve as a predictive marker in pts with mCRC treated with FOLFIRI and bev in the first line setting. Additionally MKNK1 rs12218 might also be prognostic depending on gender and tumor location. Targeting MKNK1 might be a promising approach to improve our treatment options against mCRC.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Abstract Details

Meeting

2016 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Tumor Biology

Track

Tumor Biology

Sub Track

Tumor-Based Biomarkers

Citation

J Clin Oncol 34, 2016 (suppl; abstr 11588)

DOI

10.1200/JCO.2016.34.15_suppl.11588

Abstract #

11588

Poster Bd #

285

Abstract Disclosures