Evidence map›Paper›PMID 41098705›Full record

ArticleFrontiers in oncology2025

Explorations of predictors for parametrial invasion and how it affects treatment strategy for bulky cervical cancer.

Jing Yang, Jianan Ji, Xiao Ni, Yang Li, Ting Chen, Jing Zhang, Jiangnan Qiu, Chengyan Luo

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Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jing Yang *Department of Gynecology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Jianan Ji *Department of Gynecology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Xiao Ni *Department of Gynecology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Yang LiDepartment of Pathology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Ting ChenDepartment of Radiology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Jing ZhangDepartment of Radiology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Jiangnan QiuDepartment of Gynecology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Chengyan LuoDepartment of Gynecology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The treatment of bulky cervical cancer (BCC) remains challenging owing to poor local control and susceptibility to distant metastasis. The study aimed to identify the factors that affect the development of parametrial invasion (PMI) and evaluate their association with different treatment modalities for BCC. Methods: The retrospective study enrolled 462 women with BCC treated at our center between January 2010 and June 2023. Logistic regression was utilized to analyze the factors influencing PMI. Kaplan-Meier method and Cox proportional hazard model were employed for survival analyses. Results: FIGO stage III-IV and primary tumor volume > 16 cm³ were identified as independent predictors for PMI in BCC, with ORs of 6.45 (95% CI 2.43-18.01) and 2.11 (95% CI 1.25-3.61), respectively. Multivariate Cox regression analysis demonstrated that the presence of PMI was associated with poorer progression-free survival (PFS) (HR 1.72, 95% CI 1.02-2.9), but exerted no significant effect on cancer-specific survival (CSS) (HR 0.86, 95% CI 0.37-2.0). The patients with FIGO stage I-II disease and no PMI who received radical surgery and adjuvant radiotherapy (RS and ART) presented improved PFS than those receiving concurrent chemoradiotherapy (CCRT), whereas CSS was unaffected. The cases at FIGO stage I-II with PMI exhibited no significant difference in PFS or CSS between receiving different treatments. No discernible difference in the incidence of grade ≥ 3 radiotherapy-related adverse events and quality of life was observed between treatment groups at 3- and 6-month post-treatment. Conclusions: BCC patients with FIGO stage III-IV and tumor volume > 16 cm

Indexed as

bulky cervical cancerconcurrent chemoradiotherapyparametrial invasionprognosisradical surgery and adjuvant radiotherapy

Identifiers

PMID41098705
PMCPMC12518103

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