Literature DB >> 29110878

Tumour size, volume, and marker expression during radiation therapy can predict survival of cervical cancer patients: a multi-institutional retrospective analysis of KROG 16-01.

Jong Hoon Lee1, Sea-Won Lee2, Ju Ree Kim3, Yeon Sil Kim4, Mee Sun Yoon5, Songmi Jeong6, Jin Hee Kim7, Ja Young Lee8, Keun Yong Eom9, Bae Kwon Jeong10, Seok Ho Lee11.   

Abstract

OBJECTIVE: The aim of this multi-institutional study was to determine the prognostic impact of tumour parameters, such as tumour size (TS), tumour volume (TV), and marker expression, on survival during radiation therapy (RT) for cervical cancer patients.
METHODS: A total of 231 patients with histologically confirmed cervical cancer, classified as Federation of Gynecology and Obstetrics (FIGO) Ib2-IVa, were enrolled in this study. Pre- and mid-RT pelvic magnetic resonance imaging (MRI) and squamous cell carcinoma antigen (SCC-ag) analysis were performed twice, during RT and just before brachytherapy.
RESULTS: The median follow-up time was 27.8months (range, 2-116months). Multivariate analysis revealed that stage (odds ratio [OR], 2.936 and 95% confidence interval [CI], 1.119-7.707; P=0.029), tumour volume reduction rate (TVRR) (OR, 3.435 and 95% CI, 1.062-11.106; P=0.039), and SCC-ag reduction rate (SCCRR) (OR, 5.104 and 95% CI, 1.769-14.727; P=0.003) were independently associated with overall survival (OS), while pre-RT TS (OR, 2.148 and 95% CI, 1.221-3.810; P=0.009), mid-RT TV (OR, 3.106 and 95% CI, 1.685-5.724; P<0.0001) and SCCRR (OR, 1.954 and 95% CI, 1.133-3.369; P=0.016) were associated with progression-free survival (PFS). Based on the prognostic factor analysis, patients with the highest prognostic risk score of 3 showed poorer overall survival and progression free survival than patients with lower prognostic risk scores.
CONCLUSION: We identified that tumour parameters such as TVRR, SCCRR, pre-RT TS, and mid-RT TV areindependent and strong prognostic parameters for patients with cervical cancer receiving RT. This scoring system-based prognostic factor analysis could be used to help develop optimized treatment plans for cervical cancer patients during RT.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cervical cancer; Radiation therapy; Tumour parameters

Mesh:

Substances:

Year:  2017        PMID: 29110878     DOI: 10.1016/j.ygyno.2017.09.036

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  14 in total

1.  What MRI-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer?

Authors:  Njål Lura; Kari S Wagner-Larsen; David Forsse; Jone Trovik; Mari K Halle; Bjørn I Bertelsen; Øyvind Salvesen; Kathrine Woie; Camilla Krakstad; Ingfrid S Haldorsen
Journal:  Insights Imaging       Date:  2022-06-17

2.  Nomograms based on HPV load for predicting survival in cervical squamous cell carcinoma: An observational study with a long-term follow-up.

Authors:  Jing Zuo; Ying Huang; Jusheng An; Xi Yang; Ning Li; Manni Huang; Lingying Wu
Journal:  Chin J Cancer Res       Date:  2019-04       Impact factor: 5.087

3.  Prognostic Significance of Clinicopathological Factors Influencing Overall Survival and Event-Free Survival of Patients with Cervical Cancer: A Systematic Review and Meta-Analysis.

Authors:  Shengwei Kang; Junxiang Wu; Jie Li; Qing Hou; Bin Tang
Journal:  Med Sci Monit       Date:  2022-03-09

4.  Vaginal cuff length during radical hysterectomy is a prognostic factor for stage IB-IIA cervical cancer: a retrospective study.

Authors:  Na Zuo; Hongzhen Hu; Niresh Thapa; Zhen Li; Daqiong Jiang; Xiangyu Meng; Jing Yang; Xiaoxing Chen; Hongbing Cai
Journal:  Cancer Manag Res       Date:  2018-11-19       Impact factor: 3.989

Review 5.  What Is the Role of Imaging at Primary Diagnostic Work-Up in Uterine Cervical Cancer?

Authors:  Ingfrid S Haldorsen; Njål Lura; Jan Blaakær; Daniela Fischerova; Henrica M J Werner
Journal:  Curr Oncol Rep       Date:  2019-07-29       Impact factor: 5.075

Review 6.  The role of squamous cell carcinoma antigen (SCC Ag) in outcome prediction after concurrent chemoradiotherapy and treatment decisions for patients with cervical cancer.

Authors:  Jingxuan Fu; Weiping Wang; Yidan Wang; Chengeng Liu; Peichang Wang
Journal:  Radiat Oncol       Date:  2019-08-15       Impact factor: 3.481

7.  Prognostic value of tumor measurement parameters and SCC-Ag changes in patients with locally-advanced cervical cancer.

Authors:  Wenjuan Chen; Siyi Xiu; Xingyun Xie; Huiming Guo; Yuanji Xu; Penggang Bai; Xiaoyi Xia
Journal:  Radiat Oncol       Date:  2022-01-10       Impact factor: 3.481

8.  Early Metabolic Response Assessed Using 18F-FDG-PET/CT for Image-Guided Intracavitary Brachytherapy Can Better Predict Treatment Outcomes in Patients with Cervical Cancer.

Authors:  Nalee Kim; Won Park; Won Kyung Cho; Duk-Soo Bae; Byoung-Gie Kim; Jeong-Won Lee; Tae-Joong Kim; Chel Hun Choi; Yoo-Young Lee; Young Seok Cho
Journal:  Cancer Res Treat       Date:  2020-12-09       Impact factor: 4.679

9.  The kinetic profile and clinical implication of SCC-Ag in squamous cervical cancer patients undergoing radical hysterectomy using the Simoa assay: a prospective observational study.

Authors:  Shuang Ye; Xiaohua Sun; Bin Kang; Fei Wu; Zhong Zheng; Libing Xiang; Mylène Lesénéchal; Fabienne Heskia; Ji Liang; Huijuan Yang
Journal:  BMC Cancer       Date:  2020-02-21       Impact factor: 4.430

10.  A Multi-Institutional Retrospective Analysis of Oncologic Outcomes for Patients With Locally Advanced Cervical Cancer Undergoing Platinum-Based Adjuvant Chemotherapy After Concurrent Chemoradiotherapy.

Authors:  Ning Wu; Xing Su; Honglin Song; Ying Li; Fei Gu; Xiaoge Sun; Xiaofan Li; Guanghui Cheng
Journal:  Cancer Control       Date:  2021 Jan-Dec       Impact factor: 3.302

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