Proteomics for Biomarker Discovery in Gynecological Cancers: A Systematic Review
- Dong-Hui Huang 1,2,3, Yi-Zi Li 1,2,3, He-Li Xu 1,2,3, Fang-Hua Liu 1,2,3, Xiao-Ying Li 1,2,3, Qian Xiao 1,2,3,4, Xing Chen 1,2,3, Ke-Xin Liu 4, Dong-Dong Wang 1,2,3, Yi-Xuan Men 4, Yi-Ning Cao 1,4, Song Gao 4, Yu-Hong Zhao 1,2,3, Ting-Ting Gong 4,5, Qi-Jun Wu 1,2,3,4,5
- Dong-Hui Huang 1,2,3, Yi-Zi Li 1,2,3, He-Li Xu 1,2,3
- 1Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
- 2Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang 110022, China.
- 3Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Benxi 117004, China.
- 4Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
- 5NHC Key Laboratory of Advanced Reproductive Medicine and Fertility (China Medical University), National Health Commission, Shenyang 110022, China.
- 0Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study identifies key biomarkers consistently found in gynecological cancers (GCs). These include collagens, fibrinogens, chaperones, and apolipoproteins, crucial for cancer development and function.
Area Of Science
- Oncology
- Biochemistry
- Bioinformatics
Background
- Gynecological cancers (GCs) present a significant global health challenge.
- Identifying reliable biomarkers is crucial for early detection and targeted therapy in GCs.
- Current proteomic research offers potential candidates but requires comprehensive summarization and analysis.
Purpose Of The Study
- To systematically review and analyze the proteomic biomarker landscape in cervical, endometrial, and ovarian cancers.
- To integrate bioinformatics analysis to identify consistently regulated biomarkers and their associated biological processes.
- To provide a consolidated view of potential biomarkers for GCs.
Main Methods
- Systematic literature search across major scientific databases (PubMed, Web of Science, Embase, Scopus, Ovid Medline, Cochrane Library) up to December 7, 2022.
- Inclusion of 23 articles focusing on proteomic research for cervical, endometrial, and ovarian cancers.
- Bioinformatics analysis using the PANTHER classification system and STRING database for protein-protein interaction networks.
Main Results
- Identification of consistently regulated candidate biomarkers (CBs) across GCs, including collagens (alpha-2(I), alpha-1(III), alpha-2(V) chains), calreticulin, protein disulfide-isomerase A3, heat shock protein family A (Hsp70) member 5, prolyl 4-hydroxylase beta polypeptide, fibrinogen (alpha and gamma chains), and apolipoproteins (B-100, C-IV, M).
- Bioinformatics analysis revealed these CBs are involved in critical cellular functions such as collagen fibril organization, blood coagulation, protein folding in the endoplasmic reticulum, and lipid transport.
- Collagens, fibrinogens, chaperones, and apolipoproteins emerged as consistently replicated and regulated protein families in GCs.
Conclusions
- Collagens, fibrinogens, chaperones, and apolipoproteins represent a core group of consistently regulated biomarkers in gynecological cancers.
- These identified biomarkers play significant roles in the etiology and physiology of GCs.
- The findings highlight potential targets for future diagnostic and therapeutic strategies in gynecological oncology.
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