Related Experiment Video
Updated: Jan 13, 2026
09:08
Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
Published on: January 12, 2020
7.2K
Differentially Expressed Genes Identify FIGO Stage II Cervical Cancer Patients with a Higher Risk of Relapse in a
Carolina P S Melo1, Angelo B Melo2, Fábio R Queiroz1
1Laboratory of Translational Research in Oncology, Teaching, Research and Innovation Center, Mario Penna Institute, Belo Horizonte 30380-490, MG, Brazil.
Journal of Personalized Medicine
|October 28, 2025
Summary
New biomarkers like GTF3C2-AS1 can predict recurrence risk in cervical cancer (CC) patients, improving prognostic accuracy beyond FIGO staging. This transcriptomic analysis identifies key genes for better risk assessment.
Area of Science:
- Oncology
- Genomics
- Biomarker Discovery
Background:
- Cervical cancer (CC) prognostic studies often overlook FIGO stage, potentially masking aggressive molecular features in FIGO II tumors.
- Intra-stage heterogeneity in FIGO II CC necessitates refined prognostic stratification.
- Molecular markers may improve risk assessment for cervical cancer patients.
Purpose of the Study:
- To identify a gene signature predictive of progression-free survival (PFS) in a FIGO II CC cohort.
- To investigate differential gene expression for prognostic biomarkers in CC.
- To refine prognostic stratification beyond FIGO staging for cervical cancer.
Main Methods:
- RNA sequencing and bioinformatics on 15 FIGO II CC tumor samples.
- Machine learning to identify differentially expressed genes (DEGs) associated with prognosis.
- Validation of findings in an independent CC cohort (n=174).
Main Results:
- High expression of B3GALT1, GTF3C2-AS1, and ZKSCAN4 correlated with increased recurrence risk.
- Elevated GTF3C2-AS1 expression predicted shorter PFS in both cohorts.
- GTF3C2-AS1 alone achieved 93.3% accuracy in prognostic classification via decision tree modeling.
Conclusions:
- Transcriptomic profiling identified potential biomarkers for refining CC prognostic stratification.
- GTF3C2-AS1 emerged as a consistent predictor of recurrence risk in cervical cancer.
- B3GALT1, ZKSCAN4, and immunoglobulin transcripts offer complementary insights requiring further validation.
Related Concept Videos
01:05Cancer-Critical Genes II: Tumor Suppressor Genes
9.4K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
9.4K
01:33Cancer-Critical Genes I: Proto-oncogenes
11.1K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
11.1K
02:07Tumor Progression
7.2K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
7.2K
01:21Cancer Survival Analysis
645
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
645