Polymorphism in the circadian clock pathway to predict outcome in patients (pts) with metastatic colorectal cancer (mCRC): Data from TRIBE and FIRE-3 phase III trials.

Authors

Francesca Battaglin

Francesca Battaglin

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

Francesca Battaglin , Shu Cao , Joshua Millstein , Alberto Puccini , Ryuma Tokunaga , Madiha Naseem , Shivani Soni , Michelle McSkane , Martin D. Berger , Afsaneh Barzi , Wu Zhang , Vittorina Zagonel , Chiara Cremolini , Sebastian Stintzing , Fotios Loupakis , Alfredo Falcone , Volker Heinemann , Heinz-Josef Lenz

Organizations

Division of Medical Oncology, USC Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, CA, Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, CA, Medical Oncology Unit 1, Clinical and Experimental Oncology Department, Veneto Institute of Oncology IOV – IRCCS, Padua, Italy, Department of Translational Research and New Technologies in Medicine and Surgery, Unit of Medical Oncology 2, Azienda Ospedaliera Universitaria Pisana, Istituto Toscano Tumori, Pisa, Italy, Ludwig Maximilian University of Munich, Munich, Germany, University Hospital Munich, LMU Munich, Munich, Germany

Research Funding

Other

Background: The clock machinery comprises a complex network of transcription-translation feedback loops which regulates the circadian expression of target genes involved in key cellular functions. The disruption of the circadian clock has been associated with increased CRC risk, and the expression levels of core clock genes with clinicopathological features, survival and treatment response. We therefore hypothesized that genetic variants in clock genes may predict first-line treatment outcome in mCRC pts. Methods: Genomic DNA from blood samples of pts enrolled in two independent randomized phase III trials, TRIBE and FIRE-3, was genotyped through the OncoArray, a custom array manufactured by Illumina including approximately 530K SNP markers. The impact on outcome of 22 selected SNPs in 11 genes of the clock pathway (CLOCK, BMAL1, NPAS2, PER 1-2-3, CRY 1-2, RORa, hTIM, SIRT1) was analyzed. Results: A total of 451 pts were included in the analysis. TRIBE FOLFIRI/bevacizumab (bev) arm served as discovery cohort (n = 215, median PFS/OS: 9.7/26.2 mo), FIRE-3 FOLFIRI/bev arm as validation (n = 107, mPFS/OS: 11.5/31.4 mo) and FOLFIRI/cetuximab arm as control (n = 129, mPFS/OS: 12.8/49.8 mo). In the discovery cohort, the overall population carrying the 3’UTR CLOCKrs3749474 T/T variant showed a shorter mPFS (8.8 vs 10.4 mo) compared to pts with any C allele both in univariate (HR = 1.69; 95%CI 1.11-2.59; p = 0.012) and in multivariable analysis (HR = 2.06; 95%CI 1.26-3.37; p = 0.004). This effect was stronger in female pts (p < 0.001), and left-sided CRCs (p = 0.002). Significant interaction was found with gender (p = 0.005); however, no interaction was found with tumor location or RAS status. Findings were validated in overall pts in FIRE-3 bev cohort both in univariate (HR = 1.99; p = 0.027) and in multivariable analysis (HR = 2.45; p = 0.013). No significant association was observed in the control arm. Conclusions: Our results provide the first evidence that CLOCKrs3749474 polymorphism may have a predictive value in mCRC pts treated with first-line FOLFIRI/bev. This finding supports a possible role of clock genes in contributing to resistance to anti-VEGF treatment.

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Abstract Details

Meeting

2018 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Gastrointestinal (Colorectal) Cancer

Track

Gastrointestinal Cancer—Colorectal and Anal

Sub Track

Epidemiology/Outcomes

Citation

J Clin Oncol 36, 2018 (suppl; abstr 3576)

DOI

10.1200/JCO.2018.36.15_suppl.3576

Abstract #

3576

Poster Bd #

69

Abstract Disclosures