Literature DB >> 29499330

Molecular classification as prognostic factor and guide for treatment decision of pancreatic cancer.

David J Birnbaum1, François Bertucci2, Pascal Finetti3, Daniel Birnbaum3, Emilie Mamessier3.   

Abstract

Clinico-pathological factors fail to consistently predict the outcome after pancreatic resection for pancreatic ductal adenocarcinoma (PDAC). PDACs show a high level of inter- and intra- tumor genetic heterogeneity. A molecular classification should help sort patients into less heterogeneous and more appropriate groups regarding the metastatic risk and the therapeutic response, with the consequences of better predicting evolution and better orienting the treatment. PDAC can be classified based on mutational subtypes and 18gene alterations. Whole-genome sequencing identified mutational signatures, mutational burden and hyper-mutated tumors with specific DNA repair defects. Their overlap/similarities allow the definition of molecular subtypes. DNA and RNA classifications can be used in prognosis assessment. They are useful in therapeutic choice for they allow the design of approaches that can predict the respective drug sensitivity of each molecular subtype. This review provides a comprehensive analysis of available molecular classifications in PDAC and how this can help guide clinical decisions.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Expression profiling; Genomic alteration; Pancreatic cancer; Personalized medicine; Prognosis; Survival

Mesh:

Substances:

Year:  2018        PMID: 29499330     DOI: 10.1016/j.bbcan.2018.02.001

Source DB:  PubMed          Journal:  Biochim Biophys Acta Rev Cancer        ISSN: 0304-419X            Impact factor:   10.680


  7 in total

Review 1.  The implication of liquid biopsies to predict chemoresistance in pancreatic cancer.

Authors:  Elisabetta Pietri; Rita Balsano; Matilde Coriano; Fabio Gelsomino; Francesco Leonardi; Simona Bui; Letizia Gnetti; Raffaele Dalla Valle; Ingrid Garajová
Journal:  Cancer Drug Resist       Date:  2021-04-14

2.  Identification of prognosis-related molecular subgroups based on DNA methylation in pancreatic cancer.

Authors:  Xiaoli Yin; Lingming Kong; Peng Liu
Journal:  Clin Epigenetics       Date:  2021-05-12       Impact factor: 6.551

3.  MicroRNA modulated networks of adaptive and innate immune response in pancreatic ductal adenocarcinoma.

Authors:  Tainara F Felix; Rainer M Lopez Lapa; Márcio de Carvalho; Natália Bertoni; Tomas Tokar; Rogério A Oliveira; Maria A M Rodrigues; Cláudia N Hasimoto; Walmar K Oliveira; Leonardo Pelafsky; César T Spadella; Juan C Llanos; Giovanni F Silva; Wan L Lam; Silvia Regina Rogatto; Luciana Schultz Amorim; Sandra A Drigo; Robson F Carvalho; Patricia P Reis
Journal:  PLoS One       Date:  2019-05-31       Impact factor: 3.240

4.  Epigenomics of Pancreatic Cancer: A Critical Role for Epigenome-Wide Studies.

Authors:  Rahul R Singh; Katie M Reindl; Rick J Jansen
Journal:  Epigenomes       Date:  2019-01-19

5.  N-glycosylated SGK196 suppresses the metastasis of basal-like breast cancer cells.

Authors:  Ci Xu; Meichao Zhang; Lei Bian; Yanyan Li; Yuan Yao; Dong Li
Journal:  Oncogenesis       Date:  2020-01-08       Impact factor: 7.485

6.  The immune escape signature predicts the prognosis and immunotherapy sensitivity for pancreatic ductal adenocarcinoma.

Authors:  Hao Lu; Li-Yan Zheng; Ling-Yan Wu; Jun Chen; Na Xu; Sui-Cai Mi
Journal:  Front Oncol       Date:  2022-09-06       Impact factor: 5.738

7.  Identification of hub genes correlated with the pathogenesis and prognosis in Pancreatic adenocarcinoma on bioinformatics methods.

Authors:  Lan-Er Shi; Xin Shang; Ke-Chao Nie; Zhi-Qin Lin; Miao Wang; Yin-Ying Huang; Zhang-Zhi Zhu
Journal:  Transl Cancer Res       Date:  2020-08       Impact factor: 1.241

  7 in total

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