Innovative nomogram for cervical cancer prediction: integrating high-risk HPV infection, p53 genotype, and blood routine parameters
The study identified significant differences in <i>p53</i> genotypes, HPV infection, and hematological parameters between cervical cancer patients and controls. The predictive model demonstrated high discriminatory ability for cervical cancer risk assessment. The interaction between HPV18 and <i>p53</i> genotypes suggests a potential protective effect of the <i>p53</i> C allele. Larger studies are needed to validate these findings.
Authors
- Lili Pan (ORCID: https://orcid.org/0000-0003-3903-071X)
- Guanghua Luo (ORCID: https://orcid.org/0000-0001-8339-2828)
- Shuang Yao (ORCID: https://orcid.org/0000-0003-3686-5404)
- FengHua Zhang
- Linjuan Ji (ORCID: https://orcid.org/0009-0002-7655-5777)
- Cheng Sun (ORCID: https://orcid.org/0000-0002-8617-1972)
- Jun Zhang (ORCID: https://orcid.org/0000-0002-3197-0427)
- Miaomei Yu (ORCID: https://orcid.org/0000-0002-8287-0725)
- Xiping Jiang (ORCID: https://orcid.org/0000-0002-7942-9576)
Institutions
- Changzhou No.2 People's Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-05-20
- DOI
- https://doi.org/10.3389/fonc.2025.1541928
- Citations
- 1
- Primary Topic
- Cervical Cancer and HPV Research
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province