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- Title
Development of a MicroRNA Signature Predictive of Recurrence and Survival in Pancreatic Ductal Adenocarcinoma.
- Authors
Sebastian, Nikhil T.; Webb, Amy; Merrell, Kenneth W.; Koay, Eugene J.; Wolfe, Adam R.; Zhang, Lizhi; Wilhite, Tyler J.; Elganainy, Dalia; Robb, Ryan; Chen, Wei; Cloyd, Jordan; Dillhoff, Mary; Tsung, Allan; Abushahin, Laith; Noonan, Anne; Williams, Terence M.
- Abstract
Simple Summary: Optimal patient selection for radiotherapy in pancreatic cancer is unestablished and may be improved with molecular profiling. To this end, we developed and validated a microRNA signature that predicted for worse locoregional recurrence and overall survival in patients with resectable pancreatic cancer. In a separate cohort of patients with borderline resectable and locally advanced pancreatic cancer, this risk signature was also predictive of worse locoregional recurrence, distant recurrence, and overall survival. Additionally, borderline resectable or locally advanced patients who had high risk score and did not receive radiation had worse outcomes compared to patients who either had low risk score or received radiation, irrespective of risk score. This risk signature may be useful in assessing patient prognosis and tailor therapy in patients with resectable, borderline resectable, or locally advanced pancreatic cancer, but requires further study. Background: Optimal patient selection for radiotherapy in pancreatic ductal adenocarcinoma (PDAC) is unestablished. Molecular profiling may select patients at high risk for locoregional recurrence (LRR) who would benefit from radiation. Methods: We included resectable pancreatic cancer (R-PDAC) patients, divided into training and validation cohorts, treated among three institutions with surgery and adjuvant chemotherapy, and borderline resectable or locally advanced pancreatic cancer (BR/LA-PDAC) patients treated with chemotherapy with or without radiation at the primary study institution. We isolated RNA from R-PDAC surgical specimens. Using NanoString, we identified miRNAs differentially expressed between normal and malignant pancreatic tissue. ElasticNet regression identified two miRNAs most predictive of LRR in the training cohort, miR-181b/d and miR-575, which were used to generate a risk score (RS). We evaluated the association of the median-dichotomized RS with recurrence and overall survival (OS). Results: We identified 183 R-PDAC and 77 BR/LA-PDAC patients with median follow up of 37 months treated between 2001 and 2014. On multivariable analysis of the R-PDAC training cohort (n = 90), RS was associated with worse LRR (HR = 1.34; 95%CI 1.27–11.38; p = 0.017) and OS (HR = 2.89; 95%CI 1.10–4.76; p = 0.027). In the R-PDAC validation cohort, RS was associated with worse LRR (HR = 2.39; 95%CI 1.03–5.54; p = 0.042), but not OS (p = 0.087). For BR/LA-PDAC, RS was associated with worse LRR (HR = 2.71; 95%CI 1.14–6.48; p = 0.025), DR (HR = 1.93; 95%CI 1.10–3.38; p = 0.022), and OS (HR = 1.97; 95%CI 1.17–3.34; p = 0.011). Additionally, after stratifying by RS and receipt of radiation in BR/LA-PDAC patients, high RS patients who did not receive radiation had worse LRR (p = 0.018), DR (p = 0.006), and OS (p < 0.001) compared to patients with either low RS or patients who received radiation, irrespective of RS. Conclusions: RS predicted worse LRR and OS in R-PDAC and worse LRR, DR, and OS in BR/LA-PDAC. This may select patients who would benefit from radiation and should be validated prospectively.
- Subjects
PANCREATIC tumors; ADENOCARCINOMA; CONFIDENCE intervals; PANCREATIC duct; MICRORNA; DISEASE relapse; COMPARATIVE studies; SURVIVAL analysis (Biometry); GENE expression profiling; DESCRIPTIVE statistics; RADIOTHERAPY; COMBINED modality therapy
- Publication
Cancers, 2021, Vol 13, Issue 20, p5168
- ISSN
2072-6694
- Publication type
Article
- DOI
10.3390/cancers13205168