ArticleFrontiers in oncology2022
A novel prognostic biomarker CD3G that correlates with the tumor microenvironment in cervical cancer.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Advancements in single-cell sequencing for cervical cancer research.Molecular and cellular biochemistry · 2026Review
- Single Cell and Machine Learning-Based Analysis of Lysosome Mediated Cell Death Reveals Novel Prognostic Biomarkers and Therapeutic Targets in Cervical Cancer.International journal of genomics · 2026Article
- Unveiling the dual role of CD3G: a diagnostic biomarker for depression and its oncogenic implications.Experimental biology and medicine (Maywood, N.J.) · 2025Article
- Differentially Expressed Genes Involved in Primary Resistance to Immunotherapy in Patients with Advanced-Stage Pulmonary Cancer.International journal of molecular sciences · 2024Article
- Development of a Molecular-Subtype-Associated Immune Prognostic Signature That Can Be Recognized by MRI Radiomics Features in Bladder Cancer.Bioengineering (Basel, Switzerland) · 2023Article
- Combining bioinformatics and machine learning algorithms to identify and analyze shared biomarkers and pathways in COVID-19 convalescence and diabetes mellitus.Frontiers in endocrinology · 2023Article
- A novel T-cell exhaustion-related feature can accurately predict the prognosis of OC patients.Frontiers in pharmacology · 2023Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cervical cancer (CESC) is the fourth most common and death-causing gynecological cancer, mostly induced by infection of human papillomavirus (HPV). Multiple components of the tumor microenvironment (TME), such as tumor infiltrating immune cells, could be targets of immunotherapy for HPV-related CESC. However, little is known about the TME of CESC until now. Here, we aimed to uncover the pathogenesis as well as to identify novel biomarkers to predict prognosis and immunotherapy efficacy for CESC. Combining the transcriptomic data and clinical characteristics, we identified differentially expressed genes in CESC samples from TCGA database by comparing the two groups with different ImmuneScore and StromalScore. Next, we detected ten key genes based on the PPI network and survival analyses with the univariate Cox regression model. Thereafter, we focused on CD3G, the only gene exhibiting increased RNA and protein expression in tumors by multiple analyses. Higher CD3G expression was associated with better survival; and it was also significantly associated with immune-related pathways through GSEA analysis. Furthermore, we found that CD3G expression was correlated with 16 types of TICs. Single cell RNA-sequencing data of CD3G in lymphocytes subgroup indicated its possible role in HPV defense. Hence, CD3G might be a novel biomarker in prognosis and immunotherapy for CESC patients.
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