ArticleMolecular cancer2015
Correlations between immune response and vascularization qRT-PCR gene expression clusters in squamous cervical cancer.
Article in Molecular cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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36 citing papers in PubMed, 46 citations in OpenAlex.
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- Investigating causal relationship among inflammatory cytokines and oropharyngeal cancer: Mendelian randomization.Discover oncology · 2025Article
- Patterns of immune cell infiltration and oxidative stress in cervical cancer.Oncology reviews · 2025Review
- T cell subsets in cervical cancer tumor microenvironment: advances and therapeutic opportunities.Frontiers in immunology · 2025Review
- Spatial transcriptomic analysis of tumour with high and low CAIX expression in TNBC tissue samples using GeoMx™ RNA assay.Histology and histopathology · 2024Article
- IL-17A in gastric carcinogenesis: good or bad?Frontiers in immunology · 2024Review
- Identification and validation of 5-methylcytosine-associated genes in diffuse large B-cell lymphoma.Heliyon · 2023Article
- New mechanisms and biomarkers of lymph node metastasis in cervical cancer: reflections from plasma proteomics.Clinical proteomics · 2023Article
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- Low transcriptomic of PTPRCv1 and CD3E is an independent predictor of mortality in HIV and tuberculosis co-infected patient.Scientific reports · 2022Article
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- Crosstalk between Environmental Inflammatory Stimuli and Non-Coding RNA in Cancer Occurrence and Development.Cancers · 2021Review
- Identification of an immune overdrive high-risk subpopulation with aberrant expression of FOXP3 and CTLA4 in colorectal cancer.Oncogene · 2021Article
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- CXCL12 and CD3E as Indicators for Tumor Microenvironment Modulation in Bladder Cancer and Their Correlations With Immune Infiltration and Molecular Subtypes.Frontiers in oncology · 2021Article
- Identification of a Prognostic Signature for Ovarian Cancer Based on the Microenvironment Genes.Frontiers in genetics · 2021Article
- Multi-Omics Data Analyses Construct a Six Immune-Related Genes Prognostic Model for Cervical Cancer in Tumor Microenvironment.Frontiers in genetics · 2021Article
- Splice variants of lysosome‑associated membrane proteins 2A and 2B are involved in sunitinib resistance in human renal cell carcinoma cells.Oncology reports · 2020Article
- 29 immune-related genes pairs signature predict the prognosis of cervical cancer patients.Scientific reports · 2020Article
- Overexpression of MUC16 predicts favourable prognosis in MUC16-mutant cervical cancer related to immune response.Experimental and therapeutic medicine · 2020Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe tumour microenvironment comprises a network of immune response and vascularization factors. From this network, we identified immunological and vascularization gene expression clusters and the correlations between the clusters. We subsequently determined which factors were correlated with patient survival in cervical carcinoma.
methodsThe expression of 42 genes was investigated in 52 fresh frozen squamous cervical cancer samples by qRT-PCR. Weighted gene co-expression network analysis and mixed-model analyses were performed to identify gene expression clusters. Correlations and survival analyses were further studied at expression cluster and single gene level.
resultsWe identified four immune response clusters: 'T cells' (CD3E/CD8A/TBX21/IFNG/FOXP3/IDO1), 'Macrophages' (CD4/CD14/CD163), 'Th2' (IL4/IL5/IL13/IL12) and 'Inflammation' (IL6/IL1B/IL8/IL23/IL10/ARG1) and two vascularization clusters: 'Angiogenesis' (VEGFA/FLT1/ANGPT2/ PGF/ICAM1) and 'Vessel maturation' (PECAM1/VCAM1/ANGPT1/SELE/KDR/LGALS9). The 'T cells' module was correlated with all modules except for 'Inflammation', while 'Inflammation' was most significantly correlated with 'Angiogenesis' (p < 0.001). High expression of the 'T cells' cluster was correlated with earlier TNM stage (p = 0.007). High CD3E expression was correlated with improved disease-specific survival (p = 0.022), while high VEGFA expression was correlated with poor disease-specific survival (p = 0.032). Independent predictors of poor disease-specific survival were IL6 (hazard ratio = 2.3, p = 0.011) and a high IL6/IL17 ratio combined with low IL5 expression (hazard ratio = 4.2, p = 0.010).
conclusions'Inflammation' marker IL6, especially in combination with low levels of IL5 and IL17, was correlated with poor survival. This suggests that IL6 promotes tumour growth, which may be suppressed by a Th17 and Th2 response. Measuring IL6, IL5 and IL17 expression may improve the accuracy of predicting prognosis in cervical cancer.
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