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

TL;DR
This study identifies factors predicting parametrial invasion in bulky cervical cancer and evaluates how these factors influence treatment outcomes.
Contribution
The study identifies new independent predictors for parametrial invasion and evaluates their impact on treatment strategies for bulky cervical cancer.
Findings
FIGO stage III-IV and tumor volume > 16 cm³ are independent predictors for parametrial invasion.
Radical surgery and adjuvant radiotherapy improve progression-free survival in early-stage patients without PMI.
Parametrial invasion is associated with poorer progression-free survival but not cancer-specific survival.
Abstract
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. 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. 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…
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Taxonomy
TopicsEndometrial and Cervical Cancer Treatments · Colorectal and Anal Carcinomas · Cervical Cancer and HPV Research
