Literature DB >> 25168677

Metabolic orchestration between cancer cells and tumor microenvironment as a co-evolutionary source of chemoresistance in ovarian cancer: a therapeutic implication.

Dong Hoon Suh1, Hee Seung Kim2, Boyun Kim3, Yong Sang Song4.   

Abstract

Our group reported a significant association between hexokinase II overexpression and chemoresistance in ovarian cancer, suggesting that aerobic glycolysis in the so-called Warburg effect might contribute to cancer progression. However, a growing body of evidence indicates contradictory findings with regard to the Warburg effect, such as high mitochondrial activity in highly invasive tumors and low ATP contribution of glycolysis in ovarian cancer. As a solution for the dilemma of the Warburg effect, the "reverse Warburg effect" was proposed in which aerobic glycolysis might occur in the stromal compartment of the tumor rather than in the cancer cells, indicating that the glycolytic tumor stroma feed the cancer cells through a type of symbiotic relationship. The reverse Warburg effect acting on the relationship between cancer cells and cancer-associated fibroblasts has evolved into dynamic interplay between cancer cells and multiple tumor stromal compartments, including cancer-associated fibroblasts, the extracellular matrix, endothelial cells, mesenchymal stem cells, adipocytes, and tumor-associated macrophages. Peritoneal cavities including ascites and the omentum also form a unique environment that is highly receptive for carcinomatosis in the advanced stages of ovarian cancer. The complicated but ingeniously orchestrated stroma-mediated cancer metabolism in ovarian cancer provides great heterogeneity in tumors with chemoresistance, which makes the disease thus far difficult to cure by single stromal-targeting agents. This review will discuss the experimental and clinical evidence of the cross-talk between cancer cells and various components of tumor stroma in terms of heterogeneous chemoresistance with focal points for therapeutic intervention in ovarian cancer.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chemoresistance; Metabolism; Ovarian cancer; Tumor heterogeneity; Tumor microenvironments

Mesh:

Substances:

Year:  2014        PMID: 25168677     DOI: 10.1016/j.bcp.2014.08.011

Source DB:  PubMed          Journal:  Biochem Pharmacol        ISSN: 0006-2952            Impact factor:   5.858


  20 in total

Review 1.  Drugging cancer metabolism: Expectations vs. reality.

Authors:  David C Montrose; Lorenzo Galluzzi
Journal:  Int Rev Cell Mol Biol       Date:  2019-07-29       Impact factor: 6.813

2.  Quantitative proteomics revealed energy metabolism pathway alterations in human epithelial ovarian carcinoma and their regulation by the antiparasite drug ivermectin: data interpretation in the context of 3P medicine.

Authors:  Na Li; Huanni Li; Ya Wang; Lanqin Cao; Xianquan Zhan
Journal:  EPMA J       Date:  2020-10-10       Impact factor: 6.543

3.  Radiation Promptly Alters Cancer Live Cell Metabolic Fluxes: An In Vitro Demonstration.

Authors:  David Campos; Wenny Peeters; Kwangok Nickel; Brian Burkel; Johan Bussink; Randall J Kimple; Albert van der Kogel; Kevin W Eliceiri; Michael W Kissick
Journal:  Radiat Res       Date:  2016-04-29       Impact factor: 2.841

4.  MiR-338-3p targets pyruvate kinase M2 and affects cell proliferation and metabolism of ovarian cancer.

Authors:  Yuting Zhang; Bing Shi; Jiang Chen; Lina Hu; Chunquan Zhao
Journal:  Am J Transl Res       Date:  2016-07-15       Impact factor: 4.060

Review 5.  Role of cancer-associated fibroblasts in invasion and metastasis of gastric cancer.

Authors:  Yu Yan; Li-Feng Wang; Rui-Fen Wang
Journal:  World J Gastroenterol       Date:  2015-09-07       Impact factor: 5.742

6.  HSF1: a mediator in metabolic alteration of hepatocellular carcinoma cells in cross-talking with tumor-associated macrophages.

Authors:  Hua Tian Liu; Dan Ai Huang; Miao Miao Li; He Deng Liu; Kun Guo
Journal:  Am J Transl Res       Date:  2019-08-15       Impact factor: 4.060

7.  The Lipidomic Analyses in Low and Highly Aggressive Ovarian Cancer Cell Lines.

Authors:  Zhenwen Zhao; Qingchun Cai; Yan Xu
Journal:  Lipids       Date:  2015-12-10       Impact factor: 1.880

Review 8.  CAF cellular glycolysis: linking cancer cells with the microenvironment.

Authors:  Amrita Roy; Soumen Bera
Journal:  Tumour Biol       Date:  2016-04-13

Review 9.  Models for measuring metabolic chemical changes in the metastasis of high grade serous ovarian cancer: fallopian tube, ovary, and omentum.

Authors:  Hannah Lusk; Joanna E Burdette; Laura M Sanchez
Journal:  Mol Omics       Date:  2021-12-06

Review 10.  Ascites modulates cancer cell behavior, contributing to tumor heterogeneity in ovarian cancer.

Authors:  Soochi Kim; Boyun Kim; Yong Sang Song
Journal:  Cancer Sci       Date:  2016-08-16       Impact factor: 6.716

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.