Cytokine Gene Variants as Risk Predictors and Prognostic Biomarkers for Cervix Cancer: A Revisit

Abstract: Cervix cancer is the most frequent cancer among women worldwide. Chronic HPV infections can lead to the induction of immune tolerance, where the immune system becomes less responsive to the virus over time. This can allow the virus to persist and establish a long-term infection. Initially, HPV modulates various components of the innate immune system, including interferon signaling pathways. By interfering with innate immune responses, HPV can further dampen the host';s ability to mount an effective antiviral immune response. The genetic alterations in these cytokines contribute to altered cytokine production, which may influence the severity of infection and cancer development. Platinum-based chemo-radiotherapy is the only first-line treatment available for cervix cancer. Chemoradioresistance with variable toxicity is the major challenge in clinical practices. Individual genetic makeup determines their disease development and variable treatment response. Hence, interindividual-based genetic biomarkers need to develop to better cancer prognosis. Biomarkers can predict the risk of disease and help to take precautionary measures and delay the onset of the disease. Previous studies reported that genetically altered IL-1RN, IL-1b, IL-6, and TNF-α associated with cervix oncogenesis, and these could be a potential prognostic marker of cervix cancer.

Authors

Institutions

Publication Details

Journal
Current Cancer Therapy Reviews
Published
2025-02-26
DOI
https://doi.org/10.2174/0115733947351277250217065714
Citations
2
Primary Topic
Cervical Cancer and HPV Research
Type
article
Field-Weighted Citation Impact
2.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cytokine Gene Variants as Risk Predictors and Prognostic Biomarkers for Cervix Cancer: A Revisit

Monisha Banerjee, Atar Singh Kushwah, Manish Gupta, Kirti Srivastava
2 citations
Current Cancer Therapy Reviews
Cervical Cancer and HPV Research
2.71
article

Cytokine Gene Variants as Risk Predictors and Prognostic Biomarkers for Cervix Cancer: A Revisit

Monisha Banerjee, Atar Singh Kushwah, Manish Gupta, Kirti Srivastava
article en
2 citations

Abstract

Abstract: Cervix cancer is the most frequent cancer among women worldwide. Chronic HPV infections can lead to the induction of immune tolerance, where the immune system becomes less responsive to the virus over time. This can allow the virus to persist and establish a long-term infection. Initially, HPV modulates various components of the innate immune system, including interferon signaling pathways. By interfering with innate immune responses, HPV can further dampen the host';s ability to mount an effective antiviral immune response. The genetic alterations in these cytokines contribute to altered cytokine production, which may influence the severity of infection and cancer development. Platinum-based chemo-radiotherapy is the only first-line treatment available for cervix cancer. Chemoradioresistance with variable toxicity is the major challenge in clinical practices. Individual genetic makeup determines their disease development and variable treatment response. Hence, interindividual-based genetic biomarkers need to develop to better cancer prognosis. Biomarkers can predict the risk of disease and help to take precautionary measures and delay the onset of the disease. Previous studies reported that genetically altered IL-1RN, IL-1b, IL-6, and TNF-α associated with cervix oncogenesis, and these could be a potential prognostic marker of cervix cancer.

Current Cancer Therapy ReviewsVol. 21
University of Lucknow (IN), King George's Medical University (IN), Biomedical Research Institute (US), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 12%
Cervical Cancer and HPV Research
2.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Cytokine Gene Variants as Risk Predictors and Prognostic Biomarkers for Cervix Cancer: A Revisit — Monisha Banerjee, Atar Singh Kushwah, et al. · Current Cancer Therapy Reviews (2025) | TGRS Research Map | TGRS