Reappraisal of the prognostic significance of vaginal invasion, parametrial invasion and lymph node metastasis in locally advanced cervical cancer patients receiving concurrent chemoradiotherapy: a multi-center large cohort study
Year: 2026
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: To construct and validate a predictive model to better differentiate the survival outcomes for locally advanced cervical cancer patients (LACC) receiving concurrent chemoradiotherapy (CCRT). METHODS: Patients were separately classified as vaginal invasion (VI), parametrial invasion (PI) or lymph node metastasis (LNM) based on disease extension. The survival outcomes were compared. Cox regression were performed to identify risk factors. Accordingly, the nomogram was constructed and validated. Moreover, the predictive performance between model and 2018 FIGO staging system was compared. RESULTS: LNM could significantly impair the survival for patients with VI (5-yr OS:77.7% VS 95.6%) (P = 0.018). Patients with bilateral extension to pelvic sidewall (BEP) and bilateral parametrial invasion (BPI) showed worse 5-yr OS (42.4% and 60.9%) compared to those with unilateral extension to pelvic sidewall (UEP) and unilateral parametrial invasion (UPI) (81.7% and 89.1%) (P < 0.001). Additionally, LNM didn’t affect the prognosis of patients with PI. The nomogram incorporating pathology, PI and pelvic LNM was constructed and showed decent predictive performance both in the training and test cohort. Besides, nomogram possessed better predictive ability than 2018 FIGO staging system both in the training (5-yr AUC: 0.79 VS 0.59) and validation cohort (5-yr AUC: 0.77 VS 0.64). CONCLUSIONS: LNM would impair the survival for patients with VI not those with PI and a nomogram was constructed and validated to better differentiate the prognosis for LACC patients than FIGO staging system.
Source: BMC Cancer
Authors: Xi-Lin Yang, Jian-Li He, Tie-Jun Wang, Li Ran, Li-Juan Zou, Xiao-Ge Sun, Xiao-Mei Li, Zi Liu, Yong-Gang Shi, Sha Li, Feng-Ju Zhao, Kun Gao, Wei Zhong, Guang-Hui Cheng, Ya-Li Gao, Bao-Sheng Sun, Jun-Fang Yan, Li-Chun Wei, Fu-Quan Zhang
Institutions: Chinese Academy of Medical Sciences & Peking Union Medical College, Peking Union Medical College Hospital, Ningxia Medical University, Ningxia Medical University General Hospital, Second Affiliated Hospital of Jilin University, Guiyang Medical University, Guizhou Cancer Hospital, Dalian Medical University, Second Affiliated Hospital of Dalian Medical University, Inner Mongolia Medical University, Peking University First Hospital, First Affiliated Hospital of Xi'an Jiaotong University, First Affiliated Hospital of Zhengzhou University, Chinese People's Liberation Army, Guangxi Medical University, Tumor Hospital of Guangxi Medical University, Xinjiang Medical University, Tumor Hospital of Xinjiang Medical University, Jilin University, Cangzhou Central Hospital, Jilin Province Tumor Hospital, Xijing Hospital, Air Force Medical University
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,390
OpenAlex ID: W7126094554
