Literature DB >> 33971846

Potential prognostic factors in progression-free survival for patients with cervical cancer.

Hui-Hui Chen1, Wei-Yu Meng2, Run-Ze Li2, Qing-Yi Wang1, Yu-Wei Wang2, Hu-Dan Pan2, Pei-Yu Yan2, Qi-Biao Wu2, Liang Liu2, Xiao-Jun Yao3, Min Kang4, Elaine Lai-Han Leung5,6.   

Abstract

BACKGROUND: Cervical cancer continues to be one of the leading causes of cancer deaths among females in low and middle-income countries. In this study, we aimed to assess the independent prognostic value of clinical and potential prognostic factors in progression-free survival (PFS) in cervical cancer.
METHODS: We conducted a retrospective study on 92 cervical cancer patients treated from 2017 to 2019 at the Zhuhai Hospital of Traditional Chinese and Western Medicine. Tumor characteristics, treatment options, progression-free survival and follow-up information were collected. Kaplan-Meier method was used to assess the PFS.
RESULTS: Results showed that the number of retrieved lymph nodes had a statistically significant effect on PFS of cervical cancer patients (P = 0.002). Kaplan-Meier survival curve analysis showed that cervical cancer patients with initial symptoms age 25-39 had worse survival prognoses (P = 0.020). And the using of uterine manipulator in laparoscopic treatment showed a better prognosis (P < 0.001). A novel discovery of our study was to verify the prognostic values of retrieved lymph nodes count combining with FIGO staging system, which had never been investigated in cervical cancer before. According to the Kaplan-Meier survival curve analysis and receiver operating characteristic (ROC) curve analysis, significant improvements were found after the combination of retrieved lymph nodes count and FIGO stage in predicting PFS for cervical cancer patients (P < 0.001, AUC = 0.826, 95% CI: 0.689-0.962).
CONCLUSION: Number of retrieved lymph nodes, initial symptoms age, uterine manipulator, and retrieved lymph nodes count combining with FIGO staging system could be potential prognostic factors for cervical cancer patients.

Entities:  

Keywords:  Cervical cancer; FIGO staging; Progression-free survival; Retrieved lymph nodes count

Year:  2021        PMID: 33971846     DOI: 10.1186/s12885-021-08243-3

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


  33 in total

1.  Cancer statistics, 2019.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
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2.  Cancer of the cervix uteri.

Authors:  Neerja Bhatla; Daisuke Aoki; Daya Nand Sharma; Rengaswamy Sankaranarayanan
Journal:  Int J Gynaecol Obstet       Date:  2018-10       Impact factor: 3.561

3.  Global burden of cancers attributable to infections in 2012: a synthetic analysis.

Authors:  Martyn Plummer; Catherine de Martel; Jerome Vignat; Jacques Ferlay; Freddie Bray; Silvia Franceschi
Journal:  Lancet Glob Health       Date:  2016-07-25       Impact factor: 26.763

4.  Anatomical study of para-aortic and pelvic lymph nodes in gynecologic malignancies.

Authors:  P B Panici; G Scambia; G Baiocchi; G Matonti; A Capelli; S Mancuso
Journal:  Obstet Gynecol       Date:  1992-04       Impact factor: 7.661

5.  Preoperative platelet count improves the prognostic prediction of the FIGO staging system for operable cervical cancer patients.

Authors:  Ru-Ru Zheng; Xiao-Xiu Huang; Chu Jin; Xin-Xin Zhuang; Le-Chi Ye; Fei-Yun Zheng; Feng Lin
Journal:  Clin Chim Acta       Date:  2016-11-09       Impact factor: 3.786

6.  Effect of number of retrieved lymph nodes on prognosis in FIGO stage IB-IIA cervical cancer patients treated with primary radical surgery.

Authors:  Soyi Lim; Kyungjoo Cho; Seungho Lee; Kwangbeom Lee; Jinwoo Shin; Donghae Chung; Chanyong Park
Journal:  J Obstet Gynaecol Res       Date:  2016-11-12       Impact factor: 1.730

7.  Pelvic and parametrial lymph nodes in the quality control of the surgical treatment of cervical cancer.

Authors:  F Girardi; H Pickel; R Winter
Journal:  Gynecol Oncol       Date:  1993-09       Impact factor: 5.482

8.  Cancer statistics in China, 2015.

Authors:  Wanqing Chen; Rongshou Zheng; Peter D Baade; Siwei Zhang; Hongmei Zeng; Freddie Bray; Ahmedin Jemal; Xue Qin Yu; Jie He
Journal:  CA Cancer J Clin       Date:  2016-01-25       Impact factor: 508.702

Review 9.  Computed tomography and magnetic resonance imaging in staging of uterine cervical carcinoma: a systematic review.

Authors:  Shandra Bipat; Afina S Glas; Jacobus van der Velden; Aeilko H Zwinderman; Patrick M M Bossuyt; Jaap Stoker
Journal:  Gynecol Oncol       Date:  2003-10       Impact factor: 5.482

Review 10.  The precision prevention and therapy of HPV-related cervical cancer: new concepts and clinical implications.

Authors:  Zheng Hu; Ding Ma
Journal:  Cancer Med       Date:  2018-09-14       Impact factor: 4.452

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