Literature DB >> 35181591

Quantitative Proteomic Analysis of Cervical Cancer Tissues Identifies Proteins Associated With Cancer Progression.

Alberto Ramírez-Torres1, Jeovanis Gil1,2, Sandra Contreras1, Graciela Ramírez3, Heriberto A Valencia-González3, Emmanuel Salazar-Bustamante1, Leopoldo Gómez-Caudillo1, Alejandro García-Carranca3, Sergio Encarnación-Guevara4.   

Abstract

BACKGROUND/AIM: To date, several proteomics studies in cervical cancer (CC) have focused mainly on squamous cervical cancer (SCC). Our study aimed to discover and clarify differences in SCC and CAD that may provide valuable information for the identification of proteins involved in tumor progression, in CC as a whole, or specific for SCC or CAD.
MATERIALS AND METHODS: Total protein extracts from 15 individual samples corresponding to 5 different CC tissue types were compared with a non-cancerous control group using bidimensional liquid chromatography-mass spectrometry (2D LC-MS/MS), isobaric tags for relative and absolute quantitation (ITRAQ), principal component analysis (PCA) and gene set enrichment analysis (GSEA).
RESULTS: A total of 622 statistically significant different proteins were detected. Exocytosis-related proteins were the most over-represented, accounting for 25% of the identified and quantified proteins. Based on the experimental results, reticulocalbin 3 (RCN3) and Ras-related protein Rab-14 (RAB14) were chosen for further downstream in vitro and vivo analyses. RCN3 was overexpressed in all CC tissues compared to the control and RAB14 was overexpressed in squamous cervical cancer (SCC) compared to invasive cervical adenocarcinoma (CAD). In the tumor xenograft experiment, RAB14 protein expression was positively correlated with increased tumor size. In addition, RCN3-expressing HeLa cells induced a discrete size increment compared to control, at day 47 after inoculation.
CONCLUSION: RAB14 and RCN3 are suggested as potential biomarkers and therapeutic targets in the treatment of CC.
Copyright © 2022, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  ITRAQ; RAB14; RCN3; cervical adenocarcinoma; exosome; proteomics

Mesh:

Substances:

Year:  2022        PMID: 35181591      PMCID: PMC8865048          DOI: 10.21873/cgp.20317

Source DB:  PubMed          Journal:  Cancer Genomics Proteomics        ISSN: 1109-6535            Impact factor:   4.069


  97 in total

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10.  Proteomic identification of Reticulocalbin 1 as potential tumor marker in renal cell carcinoma.

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