Literature DB >> 33371431

Molecular and Metabolic Subtypes Correspondence for Pancreatic Ductal Adenocarcinoma Classification.

Pilar Espiau-Romera1, Sarah Courtois1, Beatriz Parejo-Alonso1, Patricia Sancho1.   

Abstract

Pancreatic ductal adenocarcinoma (PDAC), the most common form of pancreatic cancer, is an extremely lethal disease due to late diagnosis, aggressiveness and lack of effective therapies. Considering its intrinsic heterogeneity, patient stratification models based on transcriptomic and genomic signatures, with partially overlapping subgroups, have been established. Besides molecular alterations, PDAC tumours show a strong desmoplastic response, resulting in profound metabolic reprogramming involving increased glucose and amino acid consumption, as well as lipid scavenging and biosynthesis. Interestingly, recent works have also revealed the existence of metabolic subtypes with differential prognosis within PDAC, which correlated to defined molecular subclasses in patients: lipogenic subtype correlated with a classical/progenitor signature, while glycolytic tumours associated with the highly aggressive basal/squamous profile. Bioinformatic analyses have demonstrated that the representative genes of each metabolic subtype are up-regulated in PDAC samples and predict patient survival. This suggests a relationship between the genetic signature, metabolic profile, and aggressiveness of the tumour. Considering all this, defining metabolic subtypes represents a clear opportunity for patient stratification considering tumour functional behaviour independently of their mutational background.

Entities:  

Keywords:  PDAC; classification; glycolysis; lipid metabolism; pancreatic cancer; stratification

Year:  2020        PMID: 33371431      PMCID: PMC7767410          DOI: 10.3390/jcm9124128

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  7 in total

Review 1.  The interactive role of inflammatory mediators and metabolic reprogramming in pancreatic cancer.

Authors:  Yuuki Ohara; Paloma Valenzuela; S Perwez Hussain
Journal:  Trends Cancer       Date:  2022-05-05

2.  Molecular signatures of tumor progression in pancreatic adenocarcinoma identified by energy metabolism characteristics.

Authors:  Cong Tan; Xin Wang; Xu Wang; Weiwei Weng; Shu-Juan Ni; Meng Zhang; Hesheng Jiang; Lei Wang; Dan Huang; Weiqi Sheng; Mi-Die Xu
Journal:  BMC Cancer       Date:  2022-04-13       Impact factor: 4.430

3.  Single-Cell Transcriptome Reveals the Metabolic and Clinical Features of a Highly Malignant Cell Subpopulation in Pancreatic Ductal Adenocarcinoma.

Authors:  Yangyang Fang; Shunjie Pei; Kaizhao Huang; Feng Xu; Guangxin Xiang; Linhua Lan; Xiaoqun Zheng
Journal:  Front Cell Dev Biol       Date:  2022-02-18

4.  Prognostic Value and Correlation With Tumor Immune Infiltration of a Novel Metabolism-Related Gene Signature in Pancreatic Cancer.

Authors:  Hui Chen; Fuqiang Zu; Taofei Zeng; Ziang Chen; Jinhong Wei; Peng Liu; Zeyu Li; Lei Zhou; Huaitao Wang; Hao Tan; Xiaodong Tan
Journal:  Front Oncol       Date:  2022-01-19       Impact factor: 6.244

5.  Multi-omics landscape and clinical significance of a SMAD4-driven immune signature: Implications for risk stratification and frontline therapies in pancreatic cancer.

Authors:  Libo Wang; Zaoqu Liu; Rongtao Zhu; Ruopeng Liang; Weijie Wang; Jian Li; Yuyuan Zhang; Chunguang Guo; Xinwei Han; Yuling Sun
Journal:  Comput Struct Biotechnol J       Date:  2022-03-02       Impact factor: 7.271

6.  Prognostic Stratification Based on HIF-1 Signaling for Evaluating Hypoxic Status and Immune Infiltration in Pancreatic Ductal Adenocarcinomas.

Authors:  Hongkai Zhuang; Shujie Wang; Bo Chen; Zedan Zhang; Zuyi Ma; Zhenchong Li; Chunsheng Liu; Zixuan Zhou; Yuanfeng Gong; Shanzhou Huang; Baohua Hou; Yajin Chen; Chuanzhao Zhang
Journal:  Front Immunol       Date:  2021-12-03       Impact factor: 7.561

7.  Glycolysis-Related Gene Expression Profiling Screen for Prognostic Risk Signature of Pancreatic Ductal Adenocarcinoma.

Authors:  Wenjing Song; Xin He; Pengju Gong; Yan Yang; Sirui Huang; Yifan Zeng; Lei Wei; Jingwei Zhang
Journal:  Front Genet       Date:  2021-06-23       Impact factor: 4.599

  7 in total

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