ArticleFrontiers in genetics2020
Prognostic Implications of Immune-Related Genes' (IRGs) Signature Models in Cervical Cancer and Endometrial Cancer.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Integrating single-cell and bulk transcriptomes with machine learning reveals a CAF signature for immunotherapy response in dMMR endometrial cancer.Discover oncology · 2026Article
- Systematic pan-cancer analysis of IL3RA carcinogenesis in human tumors, combined with bioinformatics analysis.Discover oncology · 2025Article
- Deciphering the tumor immune microenvironment: single-cell and spatial transcriptomic insights into cervical cancer fibroblasts.Journal of experimental & clinical cancer research : CR · 2025Article
- SDC1 is a critical transmembrane proteoglycan in breast cancer.World journal of surgical oncology · 2025Review
- Promising candidate drug target genes for repurposing in cervical cancer: A bioinformatics-based approach.Narra J · 2024Article
- Machine learning endometrial cancer risk prediction model: integrating guidelines of European Society for Medical Oncology with the tumor immune framework.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2023Article
- Characterization of tumor microenvironment and tumor immunology based on the double-stranded RNA-binding protein related genes in cervical cancer.Journal of translational medicine · 2023Article
- High RIG-I and EFTUD2 expression predicts poor survival in endometrial cancer.Journal of cancer research and clinical oncology · 2023Article
- The prognostic value of 19S ATPase proteasome subunits in acute myeloid leukemia and other forms of cancer.Frontiers in medicine · 2023Article
- Presence of regulatory T-cells in endometrial cancer predicts poorer overall survival and promotes progression of tumor cells.Cellular oncology (Dordrecht, Netherlands) · 2022Article
- Immune and inflammation: related factor alterations as biomarkers for predicting prognosis and responsiveness to PD-1 monoclonal antibodies in cervical cancer.Discover oncology · 2022Article
- Identification of 8-gene risk prediction signature associated withJournal of gastrointestinal oncology · 2022Article
- Article
- Comprehensive bioinformatic analyses of lncRNA-mediated ceRNA network for uterine corpus endometrial carcinoma.Translational cancer research · 2022Article
- Recent knowledge of NFATc4 in oncogenesis and cancer prognosis.Cancer cell international · 2022Review
- Construction and validation of a novel prognostic model for lung squamous cell cancer based on N6-methyladenosine-related genes.World journal of surgical oncology · 2022Article
- Immune infiltration and a necroptosis-related gene signature for predicting the prognosis of patients with cervical cancer.Frontiers in genetics · 2022Article
- Transcriptome Analysis Reveals the Immune Infiltration Profiles in Cervical Cancer and Identifies KRT23 as an Immunotherapeutic Target.Frontiers in oncology · 2022Article
- Prognostic Values From Integrated Analysis of the Nomogram Based on RNA-Binding Proteins and Clinical Factors in Endometrial Cancer.Clinical Medicine Insights. Oncology · 2022Article
- A Novel Immune-Related Prognostic Signature Predicting Survival in Patients with Pancreatic Adenocarcinoma.Journal of oncology · 2022Article
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6 authors.
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Abstract
Cervical cancer and endometrial cancer remain serious threats to women's health. Even though some patients can be treated with surgery plus chemoradiotherapy as a conventional option, the overall efficacy is deemed unsatisfactory. As such, the development for new treatment approaches is truly necessary. In recent years, immunotherapy has been widely used in clinical practice and it is an area of great interest that researchers are keeping attention on. However, a thorough immune-related genes (IRGs) study for cervical cancer and endometrial cancer is still lacking. We therefore aim to make a comprehensive evaluation of IRGs through bioinformatics and large databases, and also investigate the relationship between the two types of cancer. We reviewed the transcriptome RNAs of IRGs and clinical data based on the TCGA database. Survival-associated IRGs in cervical/endometrial cancer were identified using univariable and multivariable Cox proportional-hazard regression analysis for developing an IRG signature model to evaluate the risk of patients. In the end, this model was validated based on the enrichment analyses through GO, KEGG, and GSEA pathways, Kaplan-Meier survival curve, ROC curves, and immune cell infiltration. Our results showed that out of 25/23 survival-associated IRGs for cervical/endometrial cancer, 13/12 warranted further examination by multivariate Cox proportional-hazard regression analysis and were selected to develop an IRGs signature model. As a result, enrichment analyses for high-risk groups indicated main enriched pathways were associated with tumor development and progression, and statistical differences were found between high-risk and low-risk groups as shown by Kaplan-Meier survival curve. This model could be used as an independent measure for risk assessment and was considered relevant to immune cell infiltration, but it had nothing to do with clinicopathological characteristics. In summary, based on comprehensive analysis, we obtained the IRGs signature model in cervical cancer (
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