ArticleCancer genomics & proteomics
Quantitative Proteomic Analysis of Cervical Cancer Tissues Identifies Proteins Associated With Cancer Progression.
Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Molecular Insights from Differential Proteomic Profiling of Premalignant Cervical Lesions and Cervical Cancer.Pathogens (Basel, Switzerland) · 2026Article
- Integrative machine learning frameworks to uncover specific protein signature in neuroendocrine cervical carcinoma.BMC cancer · 2025Article
- Integrative Analysis of Multi-Omic Data for the Characteristics of Endometrial Cancer.ACS omega · 2024Article
- Targeted proteomics-determined multi-biomarker profiles developed classifier for prognosis and immunotherapy responses of advanced cervical cancer.Frontiers in immunology · 2024Article
- Expression signature and prognostic value of CREC gene family in human colorectal cancer.BMC cancer · 2023Article
- HPV and Cervical Cancer: A Review of Epidemiology and Screening Uptake in the UK.Pathogens (Basel, Switzerland) · 2023Review
- Differential Urinary Proteomic Analysis of High-Risk Cervical Intraepithelial Neoplasia.International journal of molecular sciences · 2023Article
- Unveiling diagnostic and therapeutic strategies for cervical cancer: biomarker discovery through proteomics approaches and exploring the role of cervical cancer stem cells.Frontiers in oncology · 2023Review
- Transcriptomic Network Analysis Using Exfoliative Cervical Cells Could Discriminate a Potential Risk of Progression to Cancer in HPV-related Cervical Lesions: A Pilot Study.Cancer genomics & proteomicsArticle
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimTo 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
methodsTotal 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).
resultsA 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.
conclusionRAB14 and RCN3 are suggested as potential biomarkers and therapeutic targets in the treatment of CC.
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