Literature DB >> 33181091

Metabolic-Pathway-Based Subtyping of Triple-Negative Breast Cancer Reveals Potential Therapeutic Targets.

Yue Gong1, Peng Ji1, Yun-Song Yang1, Shao Xie2, Tian-Jian Yu1, Yi Xiao1, Ming-Liang Jin1, Ding Ma1, Lin-Wei Guo1, Yu-Chen Pei3, Wen-Jun Chai4, Da-Qiang Li5, Fan Bai6, François Bertucci7, Xin Hu8, Yi-Zhou Jiang9, Zhi-Ming Shao10.   

Abstract

Triple-negative breast cancer (TNBC) remains an unmet medical challenge. We investigated metabolic dysregulation in TNBCs by using our multi-omics database (n = 465, the largest to date). TNBC samples were classified into three heterogeneous metabolic-pathway-based subtypes (MPSs) with distinct metabolic features: MPS1, the lipogenic subtype with upregulated lipid metabolism; MPS2, the glycolytic subtype with upregulated carbohydrate and nucleotide metabolism; and MPS3, the mixed subtype with partial pathway dysregulation. These subtypes were validated by metabolomic profiling of 72 samples. These three subtypes had distinct prognoses, molecular subtype distributions, and genomic alterations. Moreover, MPS1 TNBCs were more sensitive to metabolic inhibitors targeting fatty acid synthesis, whereas MPS2 TNBCs showed higher sensitivity to inhibitors targeting glycolysis. Importantly, inhibition of lactate dehydrogenase could enhance tumor response to anti-PD-1 immunotherapy in MPS2 TNBCs. Collectively, our analysis demonstrated the metabolic heterogeneity of TNBCs and enabled the development of personalized therapies targeting unique tumor metabolic profiles.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  glycolysis; heterogeneity; immunotherapy; metabolic inhibitor; metabolic pathway; metabolism; subtype; survival; triple-negative breast cancer

Year:  2020        PMID: 33181091     DOI: 10.1016/j.cmet.2020.10.012

Source DB:  PubMed          Journal:  Cell Metab        ISSN: 1550-4131            Impact factor:   27.287


  51 in total

1.  Hierarchical cancer heterogeneity analysis based on histopathological imaging features.

Authors:  Mingyang Ren; Qingzhao Zhang; Sanguo Zhang; Tingyan Zhong; Jian Huang; Shuangge Ma
Journal:  Biometrics       Date:  2021-08-14       Impact factor: 2.571

2.  A novel risk model based on immune response predicts clinical outcomes and characterizes immunophenotypes in triple-negative breast cancer.

Authors:  Xunxi Lu; Zongchao Gou; Luoting Yu; Hong Bu
Journal:  Am J Cancer Res       Date:  2022-08-15       Impact factor: 5.942

3.  A Multiomics Signature Highlights Alterations Underlying Homologous Recombination Deficiency in Triple-Negative Breast Cancer.

Authors:  Guan-Hua Su; Lin Jiang; Yi Xiao; Ren-Cheng Zheng; He Wang; Yi-Zhou Jiang; Wei-Jun Peng; Zhi-Ming Shao; Ya-Jia Gu; Chao You
Journal:  Ann Surg Oncol       Date:  2022-06-16       Impact factor: 4.339

4.  Breast Cancer Subtypes Based on Hypoxia-Related Gene Sets Identify Potential Therapeutic Agents.

Authors:  Zhenchong Xiong; Weiling Huang; Wenjing Zhong; Jianchang Fu; Jikun Feng; Xi Wang; Feihai Ling
Journal:  Front Mol Biosci       Date:  2022-06-29

5.  Metabolism-Associated DNA Methylation Signature Stratifies Lower-Grade Glioma Patients and Predicts Response to Immunotherapy.

Authors:  Guozheng Yang; Dezhi Shan; Rongrong Zhao; Gang Li
Journal:  Front Cell Dev Biol       Date:  2022-06-15

6.  Mammary epithelial cells have lineage-rooted metabolic identities.

Authors:  Mathepan Jeya Mahendralingam; Hyeyeon Kim; Curtis William McCloskey; Kazeera Aliar; Alison Elisabeth Casey; Pirashaanthy Tharmapalan; Davide Pellacani; Vladimir Ignatchenko; Mar Garcia-Valero; Luis Palomero; Ankit Sinha; Jennifer Cruickshank; Ronak Shetty; Ravi N Vellanki; Marianne Koritzinsky; Vid Stambolic; Mina Alam; Aaron David Schimmer; Hal Kenneth Berman; Connie J Eaves; Miquel Angel Pujana; Thomas Kislinger; Rama Khokha
Journal:  Nat Metab       Date:  2021-05-20

7.  Random Forest Modelling of High-Dimensional Mixed-Type Data for Breast Cancer Classification.

Authors:  Jelmar Quist; Lawson Taylor; Johan Staaf; Anita Grigoriadis
Journal:  Cancers (Basel)       Date:  2021-02-27       Impact factor: 6.575

8.  Metabolic Response of Triple-Negative Breast Cancer to Folate Restriction.

Authors:  Michael F Coleman; Ciara H O'Flanagan; Alexander J Pfeil; Xuewen Chen; Jane B Pearce; Susan Sumner; Sergey A Krupenko; Stephen D Hursting
Journal:  Nutrients       Date:  2021-05-13       Impact factor: 5.717

Review 9.  Progress of Breast Cancer basic research in China.

Authors:  Xuerong Wang; Chao Wang; Jiaheng Guan; Baoan Chen; Lin Xu; Ceshi Chen
Journal:  Int J Biol Sci       Date:  2021-05-11       Impact factor: 6.580

10.  GCH1 induces immunosuppression through metabolic reprogramming and IDO1 upregulation in triple-negative breast cancer.

Authors:  Jin-Li Wei; Si-Yu Wu; Yun-Song Yang; Yi Xiao; Xi Jin; Xiao-En Xu; Xin Hu; Da-Qiang Li; Yi-Zhou Jiang; Zhi-Ming Shao
Journal:  J Immunother Cancer       Date:  2021-07       Impact factor: 13.751

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