Literature DB >> 32321665

A preoperative risk model for early recurrence after radical resection may facilitate initial treatment decisions concerning the use of neoadjuvant therapy for patients with pancreatic ductal adenocarcinoma.

Shi-Wei Guo1, Jing Shen2, Jun-Hui Gao3, Xiao-Han Shi1, Sui-Zhi Gao1, Huan Wang1, Bo Li1, Wei-Lan Yuan3, Ling Lin3, Gang Jin4.   

Abstract

BACKGROUND: Neoadjuvant chemotherapy may benefit patients with pancreatic ductal adenocarcinoma with resectable and borderline disease. Inappropriate use of neoadjuvant therapy, however, may lead to the loss of therapeutic opportunities. Until an effective prediction model of individual drug sensitivity is established, no accurate model exists to help surgeons decide on the appropriate use of neoadjuvant chemotherapy. We hypothesized that early recurrence in patients undergoing upfront, early resection may be an indication for neoadjuvant chemotherapy. Therefore, we aimed to use preoperative clinical parameters to establish a model of early recurrence to select patients at high risk for neoadjuvant chemotherapy.
METHODS: Patients who underwent resection for pancreatic ductal adenocarcinoma between January 2014 and November 2017 were analyzed retrospectively. After the minimum P-value approach, the patients were divided into three groups: early recurrence, middle recurrence, and late/non-recurrence. Preoperative clinicopathologic factors that could predict early recurrence were included in a Cox proportional hazards regression model for univariate and multivariate analyses. The factors related to early recurrence were included to establish nomogram and decision tree models, which were then validated in 68 patients.
RESULTS: We found that 235 (72.5%) of 324 patients had recurrence with a median recurrence-free survival of 210 days. The early recurrence, middle recurrence, and late/non-recurrence groups differed in preoperative carbohydrate antigen 19-9 and carcinoembryonic antigen levels, "resectability" on cross-sectional imaging, resection requiring a vascular resection, T stage, tumor size, and adjuvant chemotherapy. The best cutoff value of early recurrence was the first 162 days postoperatively. Univariate and multivariate analyses showed that selected preoperative chief complaints, lymph node enlargement and resectability on cross-sectional imaging, preoperative carbohydrate antigen 19-9 levels >210 kU/L, and a neutrophil/lymphocyte ratio >4.2 were independent predictors for early recurrence.
CONCLUSION: We have successfully built a prediction model of early recurrence of patients with pancreatic ductal adenocarcinoma with the optimal cutoff early-recurrence value of 162 days. Our nomogram and decision tree models may be used to select those at high risk for early recurrence to guide preoperative decision-making concerning the use of neoadjuvant therapy in those patients who have "resectable" disease and not only the more classic criteria of borderline resectability.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 32321665     DOI: 10.1016/j.surg.2020.02.013

Source DB:  PubMed          Journal:  Surgery        ISSN: 0039-6060            Impact factor:   3.982


  7 in total

Review 1.  Resection of Recurrent Pancreatic Cancer: Who Can Benefit?

Authors:  Henrik Nienhüser; Markus W Büchler; Martin Schneider
Journal:  Visc Med       Date:  2021-11-11

2.  Correlation of transcriptional subtypes with a validated CT radiomics score in resectable pancreatic ductal adenocarcinoma.

Authors:  Emmanuel Salinas-Miranda; Gerard M Healy; Barbara Grünwald; Rahi Jain; Dominik Deniffel; Grainne M O'Kane; Robert Grant; Julie Wilson; Jennifer Knox; Steven Gallinger; Sandra Fischer; Rama Khokha; Masoom A Haider
Journal:  Eur Radiol       Date:  2022-08-25       Impact factor: 7.034

3.  CA19.9 Response and Tumor Size Predict Recurrence Following Post-neoadjuvant Pancreatectomy in Initially Resectable and Borderline Resectable Pancreatic Ductal Adenocarcinoma.

Authors:  Laura Maggino; Giuseppe Malleo; Stefano Crippa; Massimo Falconi; Roberto Salvia; Giulio Belfiori; Sara Nobile; Giulia Gasparini; Gabriella Lionetto; Claudio Luchini; Paola Mattiolo; Marco Schiavo-Lena; Claudio Doglioni; Aldo Scarpa; Claudio Bassi
Journal:  Ann Surg Oncol       Date:  2022-10-13       Impact factor: 4.339

4.  Molecular Characterization of Pancreatic Ductal Adenocarcinoma Using a Next-Generation Sequencing Custom-Designed Multigene Panel.

Authors:  Deborah Malvi; Francesco Vasuri; Thais Maloberti; Viviana Sanza; Antonio De Leo; Adele Fornelli; Michele Masetti; Claudia Benini; Raffaele Lombardi; Maria Fortuna Offi; Mariacristina Di Marco; Matteo Ravaioli; Sirio Fiorino; Enrico Franceschi; Alba A Brandes; Elio Jovine; Antonietta D'Errico; Giovanni Tallini; Dario de Biase
Journal:  Diagnostics (Basel)       Date:  2022-04-23

5.  Pre-operative radiomics model for prognostication in resectable pancreatic adenocarcinoma with external validation.

Authors:  Gerard M Healy; Emmanuel Salinas-Miranda; Rahi Jain; Xin Dong; Dominik Deniffel; Ayelet Borgida; Ali Hosni; David T Ryan; Nwabundo Njeze; Anne McGuire; Kevin C Conlon; Jonathan D Dodd; Edmund Ronan Ryan; Robert C Grant; Steven Gallinger; Masoom A Haider
Journal:  Eur Radiol       Date:  2021-11-10       Impact factor: 7.034

6.  Preoperative recurrence prediction in pancreatic ductal adenocarcinoma after radical resection using radiomics of diagnostic computed tomography.

Authors:  Xiawei Li; Yidong Wan; Jianyao Lou; Lei Xu; Aiguang Shi; Litao Yang; Yiqun Fan; Jing Yang; Junjie Huang; Yulian Wu; Tianye Niu
Journal:  EClinicalMedicine       Date:  2021-12-03

7.  Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection.

Authors:  Xiawei Li; Litao Yang; Zheping Yuan; Jianyao Lou; Yiqun Fan; Aiguang Shi; Junjie Huang; Mingchen Zhao; Yulian Wu
Journal:  J Transl Med       Date:  2021-06-30       Impact factor: 5.531

  7 in total

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