4.7 Article

Prognosis Based Definition of Resectability in Pancreatic Cancer A Road Map to New Guidelines

Journal

ANNALS OF SURGERY
Volume 275, Issue 1, Pages 175-181

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/SLA.0000000000003859

Keywords

CA19-9; Charlson; Deyo score; neoadjuvant chemoradiotherapy; neoadjuvant chemotherapy; neoadjuvant treatment; nomogram; pancreatic ductal adenocarcinoma; resectability

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This study aims to identify objective preoperative prognostic factors for predicting long-term survival of patients with PDAC. The authors analyzed data from the National Cancer Database and developed a nomogram based on preoperative variables. The nomogram classified patients into three prognosis groups and showed promising results in predicting survival. This new concept of resectability based on tumor biology provides an improved approach for classifying PDAC patients beyond purely anatomical features.
Objective: To identify objective preoperative prognostic factors that are able to predict long-term survival of patients affected by PDAC. Summary of Background Data: In the modern era of improved systemic chemotherapy for PDAC, tumor biology, and response to chemotherapy are essential in defining prognosis and an improved approach is needed for classifying resectability beyond purely anatomic features. Methods: We queried the National Cancer Database regarding patients diagnosed with PDAC from 2010 to 2016. Cox proportional hazard models were used to select preoperative baseline factors significantly associated with survival; final models for overall survival (OS) were internally validated and formed the basis of the nomogram. Results: A total of 7849 patients with PDAC were included with a median follow-up of 19 months. On multivariable analysis, factors significantly associated with OS included carbohydrate antigen 19-9, neoadjuvant treatment, tumor size, age, facility type, Charlson/Deyo score, primary site, and sex; T4 stage was not independently associated with OS. The cumulative score was used to classify patients into 3 groups: good, intermediate, and poor prognosis, respectively. The strength of our model was validated by a highly significant randomization test, Log-rank test, and simple hazard ratio; the concordance index was 0.59. Conclusion: This new PDAC nomogram, based solely on preoperative variables, could be a useful tool to patients and counseling physicians in selecting therapy. This model suggests a new concept of resectability that is meant to reflect the biology of the tumor, thus partially overcoming existing definitions, that are mainly based on tumor anatomic features.

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