Literature DB >> 33240452

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.

Na Li1,2,3, Huanni Li4, Ya Wang2,3, Lanqin Cao4, Xianquan Zhan1,2,3,5,6.   

Abstract

OBJECTIVE: Energy metabolism abnormality is the hallmark in epithelial ovarian carcinoma (EOC). This study aimed to investigate energy metabolism pathway alterations and their regulation by the antiparasite drug ivermectin in EOC for the discovery of energy metabolism pathway-based molecular biomarker pattern and therapeutic targets in the context of predictive, preventive, and personalized medicine (PPPM) in EOC.
METHODS: iTRAQ-based quantitative proteomics was used to identify mitochondrial differentially expressed proteins (mtDEPs) between human EOC and control mitochondrial samples isolated from 8 EOC and 11 control ovary tissues from gynecologic surgery of Chinese patients, respectively. Stable isotope labeling with amino acids in cell culture (SILAC)-based quantitative proteomics was used to analyze the protein expressions of energy metabolic pathways in EOC cells treated with and without ivermectin. Cell proliferation, cell cycle, apoptosis, and important molecules in energy metabolism pathway were examined before and after ivermectin treatment of different EOC cells.
RESULTS: In total, 1198 mtDEPs were identified, and various mtDEPs were related to energy metabolism changes in EOC, with an interesting result that EOC tissues had enhanced abilities in oxidative phosphorylation (OXPHOS), Kreb's cycle, and aerobic glycolysis, for ATP generation, with experiment-confirmed upregulations of UQCRH in OXPHOS; IDH2, CS, and OGDHL in Kreb's cycle; and PKM2 in glycolysis pathways. Importantly, PDHB that links glycolysis with Kreb's cycle was upregulated in EOC. SILAC-based quantitative proteomics found that the protein expression levels of energy metabolic pathways were regulated by ivermectin in EOC cells. Furthermore, ivermectin demonstrated its strong abilities to inhibit proliferation and cell cycle and promote apoptosis in EOC cells, through molecular networks to target PFKP in glycolysis; IDH2 and IDH3B in Kreb's cycle; ND2, ND5, CYTB, and UQCRH in OXPHOS; and MCT1 and MCT4 in lactate shuttle to inhibit EOC growth.
CONCLUSIONS: Our findings revealed that the Warburg and reverse Warburg effects coexisted in human ovarian cancer tissues, provided the first multiomics-based molecular alteration spectrum of ovarian cancer energy metabolism pathways (aerobic glycolysis, Kreb's cycle, oxidative phosphorylation, and lactate shuttle), and demonstrated that the antiparasite drug ivermectin effectively regulated these changed molecules in energy metabolism pathways and had strong capability to inhibit cell proliferation and cell cycle progression and promote cell apoptosis in ovarian cancer cells. The observed molecular changes in energy metabolism pathways bring benefits for an in-depth understanding of the molecular mechanisms of energy metabolism heterogeneity and the discovery of effective biomarkers for individualized patient stratification and predictive/prognostic assessment and therapeutic targets/drugs for personalized therapy of ovarian cancer patients. © European Association for Predictive, Preventive and Personalised Medicine (EPMA) 2020.

Entities:  

Keywords:  Aerobic glycolysis; Early diagnosis; Energy metabolism pathway; Epithelial ovarian carcinoma; Ivermectin; Kreb’s cycle; Lactate shuttle; Mitochondrial proteomics; Molecular biomarker pattern; Oxidative phosphorylation; Predictive preventive personalized medicine (PPPM); Prognostic assessment; Reverse Warburg effect; SILAC-based quantitative proteomics; Warburg effect; iTRAQ-based quantitative proteomics

Year:  2020        PMID: 33240452      PMCID: PMC7680500          DOI: 10.1007/s13167-020-00224-z

Source DB:  PubMed          Journal:  EPMA J        ISSN: 1878-5077            Impact factor:   6.543


  72 in total

Review 1.  Warburg meets autophagy: cancer-associated fibroblasts accelerate tumor growth and metastasis via oxidative stress, mitophagy, and aerobic glycolysis.

Authors:  Stephanos Pavlides; Iset Vera; Ricardo Gandara; Sharon Sneddon; Richard G Pestell; Isabelle Mercier; Ubaldo E Martinez-Outschoorn; Diana Whitaker-Menezes; Anthony Howell; Federica Sotgia; Michael P Lisanti
Journal:  Antioxid Redox Signal       Date:  2011-11-17       Impact factor: 8.401

2.  No benefit from combining HE4 and CA125 as ovarian tumor markers in a clinical setting.

Authors:  Francis Jacob; Mara Meier; Rosmarie Caduff; Darlene Goldstein; Tatiana Pochechueva; Neville Hacker; Daniel Fink; Viola Heinzelmann-Schwarz
Journal:  Gynecol Oncol       Date:  2011-03-21       Impact factor: 5.482

3.  Antitumor effect of avermectins.

Authors:  Victor A Drinyaev; Vladimir A Mosin; Elena B Kruglyak; Tamara S Novik; Tatiana S Sterlina; Natalia V Ermakova; Ludmila N Kublik; Maria Kh Levitman; Vera V Shaposhnikova; Yuri N Korystov
Journal:  Eur J Pharmacol       Date:  2004-10-06       Impact factor: 4.432

Review 4.  Preventive, predictive, and personalized medicine for effective and affordable cancer care.

Authors:  Jaak Ph Janssens; Klaus Schuster; Andreas Voss
Journal:  EPMA J       Date:  2018-03-26       Impact factor: 6.543

Review 5.  Regulation of Mitochondrial Structure and Dynamics by the Cytoskeleton and Mechanical Factors.

Authors:  Erzsébet Bartolák-Suki; Jasmin Imsirovic; Yuichiro Nishibori; Ramaswamy Krishnan; Béla Suki
Journal:  Int J Mol Sci       Date:  2017-08-21       Impact factor: 5.923

6.  Pyruvate kinase M2 is a poor prognostic marker of and a therapeutic target in ovarian cancer.

Authors:  Tai-Kuang Chao; Tien-Shuo Huang; Yu-Ping Liao; Rui-Lan Huang; Po-Hsuan Su; Hueng-Yuan Shen; Hung-Cheng Lai; Yu-Chi Wang
Journal:  PLoS One       Date:  2017-07-28       Impact factor: 3.240

7.  Signaling pathway network alterations in human ovarian cancers identified with quantitative mitochondrial proteomics.

Authors:  Na Li; Xianquan Zhan
Journal:  EPMA J       Date:  2019-06-08       Impact factor: 6.543

Review 8.  Oncogene-Driven Metabolic Alterations in Cancer.

Authors:  Hye-Young Min; Ho-Young Lee
Journal:  Biomol Ther (Seoul)       Date:  2018-01-01       Impact factor: 4.634

9.  Anti-parasite drug ivermectin can suppress ovarian cancer by regulating lncRNA-EIF4A3-mRNA axes.

Authors:  Na Li; Xianquan Zhan
Journal:  EPMA J       Date:  2020-05-28       Impact factor: 6.543

Review 10.  Innovating the Concept and Practice of Two-Dimensional Gel Electrophoresis in the Analysis of Proteomes at the Proteoform Level.

Authors:  Xianquan Zhan; Biao Li; Xiaohan Zhan; Hartmut Schlüter; Peter R Jungblut; Jens R Coorssen
Journal:  Proteomes       Date:  2019-10-30
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  4 in total

Review 1.  The role of protein acetylation in carcinogenesis and targeted drug discovery.

Authors:  Jingru Yang; Cong Song; Xianquan Zhan
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-12       Impact factor: 6.055

2.  Machine Learning Identifies Pan-Cancer Landscape of Nrf2 Oxidative Stress Response Pathway-Related Genes.

Authors:  Na Li; Xianquan Zhan
Journal:  Oxid Med Cell Longev       Date:  2022-02-17       Impact factor: 6.543

Review 3.  Mitochondrial Dysfunction Pathway Alterations Offer Potential Biomarkers and Therapeutic Targets for Ovarian Cancer.

Authors:  Liang Shen; Xianquan Zhan
Journal:  Oxid Med Cell Longev       Date:  2022-04-20       Impact factor: 7.310

4.  Energy Substrate Transporters in High-Grade Ovarian Cancer: Gene Expression and Clinical Implications.

Authors:  Marta Baczewska; Elżbieta Supruniuk; Klaudia Bojczuk; Paweł Guzik; Patrycja Milewska; Katarzyna Konończuk; Jakub Dobroch; Adrian Chabowski; Paweł Knapp
Journal:  Int J Mol Sci       Date:  2022-08-11       Impact factor: 6.208

  4 in total

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