Clinical factor-based risk stratification for precision therapy in locally advanced squamous cell carcinoma of the uterine cervix

基于临床因素的宫颈局部晚期鳞状细胞癌精准治疗风险分层

阅读:1

Abstract

BACKGROUND: Concurrent chemoradiotherapy (CCRT) is the standard of care for locally advanced cervical cancer. In this study, we analyzed the pretreatment clinical and (18)F-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) characteristics of patients with locally advanced cervical squamous cell carcinoma (SCC) to develop a scoring prototype for risk stratification. METHODS: Two cohorts were constructed in this study. Cohort 1 comprised patients with cervical SCC with 2009 FIGO stage III-IVA or stage I-II with positive pelvic or para-aortic lymph node (PALN) on PET/CT from AGOG09-001 trial. Cohort 2 comprised patients with similar characteristics who had received adequate therapy in our hospital between 2016 and 2021. Pretreatment patient characteristics and PET/CT parameters including maximum standardized uptake value (SUV(max)) and metabolic tumor volume (MTV) of primary tumor and nodal SUV(max) were assessed for cancer-specific survival (CSS) using multivariate Cox regression. RESULTS: Analysis of combined data from cohorts 1 (n = 55) and 2 (n = 128) indicated age ≥ 66 years, primary tumor MTV ≥87 mL, and positive PALN on PET/CT to be independently significant adverse predictors for CSS (p < 0.001, p = 0.014, and p = 0.026, respectively) with a median follow-up duration of 51 months. Assigning a score of 1 to each adverse predictor, patients with cumulative risk scores of 0, 1, 2, and 3 were discovered to have a 5-year CSS of 86.9%, 71.0%, 32.2%, and 0%, respectively (p < 0.001). CONCLUSION: Age, primary tumor MTV, and positive PALN on PET/CT may serve as independent predictors of poor survival in patients with locally advanced cervical SCC. Our findings indicate that patients without any adverse factors can receive standard CCRT, whereas those with at least one adverse factor can consider novel combination therapies or clinical trials.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。