Impact of KRAS mutations in clinical features and survival in pancreatic cancer patients: A single institution experience.

Abstract

e15779 Background: Pancreatic cancer (PC) is currently one of the most lethal tumors. In recent years, although improvements have been developed in the detection and treatment of this disease, the 5-year survival is less than 10%. KRAS plays a key role in ras/mitogen-activated protein kinase signaling. Somatic mutation in KRAS mutations have been shown to be early events in the carcinogenesis of PC. KRAS mutations as a prognostic factor for PC remains inconclusive. Methods: We performed a retrospective study of our patients (pts) to demonstrate the impact of KRAS mutations in clinical features and survival in real-life clinical practice. This was an observational study of all patients with histological confirmed PC referred to Medical Oncology between April 2017 to December 2018 and followed until February 2019. KRAS mutations were analyzed by sequencing codons 12, 13, and 61 in diagnostic tumor tissues from formalin fixed paraffin embedded tissue using PCR and liquid biopsy test (BEAMing technology). Categorical variables were statistically analyzed with Fisher’s exact test and continuous variables with T-student for differences between both groups. Survival was analyzed by Kaplan–Meier estimation and log-rank testing while Cox regression was used to estimed hazard ratios. Results: Our study cohort was 64 pts. 43% of pts died, the most die at home (25%). Median follow-up was 552 days (18 months). Metastatic pts had an expected overall survival (OS) of 376 days, locally advanced 525 days and localized stage 592 days but not statistically significant difference (p = 0.11). Wild-type pts had an expected OS of 559 days and KRAS mutated 389 days with statistically significant difference. (p = 0.032). Conclusions: KRAS mutations are associated with a poorer survival in patients with pancreatic cancer in all stages. These results suggest that KRAS mutations may be an important biomarker in determining response and prognosis in patients with high risk and in developing specific treatments for these patients in clinical applications.[Table: see text]