Literature DB >> 31629815

Crucial players in glycolysis: Cancer progress.

Zaka Abbaszadeh1, Selin Çeşmeli2, Çığır Biray Avcı1.   

Abstract

Cancer is the second most important cause of death and new therapy modalities continue to be developed and evolved. Cancer cells' metabolism is far different from the normal, healthy cells; they are more metabolically active, have higher proliferation rate and could able to resist to cell death pathways like apoptosis. It is known that in addition to increasing the expression of enzymes that are crucial in glycolysis for much more energy production, cancer cells produce energy from lactic acid fermentation after glycolysis. In 1920s, Warburg has claimed that cancer cells are more active in glycolysis than normal cells and use much more glucose in order to obtain more ATP for metabolic activities, then this is named as Warburg effect. After that; new methodologies and therapeutics that target metabolism, began to be attractive subject in cancer studies. Therefore, the main genes, enzymes and factors are begun to investigate and further studied for understanding their roles in metabolism of cancer cells.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cancer; Glcolysis; Glycolytic enzymes; Oxidative phosphorylation (OXPHOS)

Year:  2019        PMID: 31629815     DOI: 10.1016/j.gene.2019.144158

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  42 in total

1.  Circ-PGC increases the expression of FOXR2 by targeting miR-532-3p to promote the development of non-small cell lung cancer.

Authors:  Daokui Xia; Zhen Chen; Quan Liu
Journal:  Cell Cycle       Date:  2021-09-08       Impact factor: 5.173

2.  Influence of halloysite nanotubes on the efficiency of Asparaginase against mice Ehrlich solid carcinoma.

Authors:  B M M Baharoon; A M Shaik; Salim M El-Hamidy; Rady Eid El-Araby; Ashwaq H Batawi; Mohamed Abdel Salam
Journal:  Saudi J Biol Sci       Date:  2022-03-04       Impact factor: 4.052

3.  Circ_0008068 facilitates the oral squamous cell carcinoma development by microRNA-153-3p/acylgycerol kinase (AGK) axis.

Authors:  Yuanyuan Long; Chenxing Li; Baoyu Zhu
Journal:  Bioengineered       Date:  2022-05       Impact factor: 6.832

4.  N7-Methylguanosine Regulatory Genes Profoundly Affect the Prognosis, Progression, and Antitumor Immune Response of Hepatocellular Carcinoma.

Authors:  Kexiang Zhou; Jiaqun Yang; Xiaoyan Li; Wei Xiong; Pengbin Zhang; Xuqing Zhang
Journal:  Front Surg       Date:  2022-06-16

5.  Low expression of miR-195 is associated with cell proliferation, glycolysis and poor survival in estrogen receptor (ER)-positive but not in triple negative breast cancer.

Authors:  Yoshihisa Tokumaru; Masanori Oshi; Ankit Patel; Eriko Katsuta; Li Yan; Fernando A Angarita; Subhamoy Dasgupta; Masayuki Nagahashi; Nobuhisa Matsuhashi; Manabu Futamura; Kazuhiro Yoshida; Kazuaki Takabe
Journal:  Am J Cancer Res       Date:  2021-06-15       Impact factor: 6.166

Review 6.  Mechanisms of Metabolic Reprogramming in Cancer Cells Supporting Enhanced Growth and Proliferation.

Authors:  Chelsea Schiliro; Bonnie L Firestein
Journal:  Cells       Date:  2021-04-29       Impact factor: 6.600

7.  LINC00630 as a miR-409-3p sponge promotes apoptosis and glycolysis of colon carcinoma cells via regulating HK2.

Authors:  Jian Chen; Runjie Wang; Enci Lu; Shan'ai Song; Yingwei Zhu
Journal:  Am J Transl Res       Date:  2022-02-15       Impact factor: 4.060

8.  A glycolysis-based three-gene signature predicts survival in patients with lung squamous cell carcinoma.

Authors:  Guichuan Huang; Jing Zhang; Ling Gong; Yi Huang; Daishun Liu
Journal:  BMC Cancer       Date:  2021-05-27       Impact factor: 4.430

9.  Identification and validation of a novel glycolysis-related gene signature for predicting the prognosis in ovarian cancer.

Authors:  Jing Yu; Ting-Ting Liu; Lei-Lei Liang; Jing Liu; Hong-Qing Cai; Jia Zeng; Tian-Tian Wang; Jian Li; Lin Xiu; Ning Li; Ling-Ying Wu
Journal:  Cancer Cell Int       Date:  2021-07-06       Impact factor: 5.722

10.  A Prognostic Model for Brain Glioma Patients Based on 9 Signature Glycolytic Genes.

Authors:  Xiao Bingxiang; Wu Panxing; Feng Lu; Yan Xiuyou; Ding Chao
Journal:  Biomed Res Int       Date:  2021-06-16       Impact factor: 3.411

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