Prognostic Model for Survival and Recurrence in Patients with Early-Stage Cervical Cancer: A Korean Gynecologic Oncology Group Study (KGOG 1028)
- 주제(키워드) Disease-free survival , Prognostic factor , Prognoses , Survival analyses , Uterine cervical neoplasms
- 주제(기타) Oncology
- 설명문(일반) [Paik, E. Sun; Choi, Chel Hun] Sungkyunkwan Univ, Samsung Med Ctr, Dept Obstet & Gynecol, Sch Med, 81 Irwon Ro, Seoul 06351, South Korea; [Lim, Myong Cheol] Natl Canc Ctr, Ctr Uterine Canc, Canc Healthcare Res Branch, Goyang, South Korea; [Lim, Myong Cheol] Natl Canc Ctr, Ctr Clin Trials, Res Inst & Hosp, Goyang, South Korea; [Lim, Myong Cheol] Natl Canc Ctr, Canc Control & Policy, Grad Sch Canc Sci & Policy, Goyang, South Korea; [Kim, Moon-Hong] Korea Inst Radiol & Med Sci, Korea Canc Ctr Hosp, Dept Obstet & Gynecol, Seoul, South Korea; [Kim, Yun Hwan] Ewha Womans Univ, Mokdong Hosp, Dept Obstet & Gynecol, Sch Med, Seoul, South Korea; [Song, Eun Seop] Gwangjin Gu Hlth Ctr, Med Treatment Div, Seoul, South Korea; [Seong, Seok Ju] CHA Univ, CHA Gangnam Med Ctr, Dept Obstet & Gynecol, Seoul, South Korea; [Suh, Dong Hoon] Seoul Natl Univ, Dept Obstet & Gynecol, Bundang Hosp, Seongnam, South Korea; [Lee, Jong-Min] Kyung Hee Univ, Kyung Hee Univ Hosp Gangdong, Dept Obstet & Gynecol, Sch Med, Seoul, South Korea; [Lee, Chulmin] Inje Univ, Sanggye Paik Hosp, Dept Obstet & Gynecol, Coll Med, Seoul, South Korea
- 등재 SCIE, SCOPUS, KCI등재
- OA유형 Green Submitted, Green Published, gold
- 발행기관 KOREAN CANCER ASSOCIATION
- 발행년도 2020
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000166054
- 본문언어 영어
- Published As http://dx.doi.org/10.4143/crt.2019.124
- PubMed https://pubmed.ncbi.nlm.nih.gov/31401822
초록/요약
Purpose We aimed to develop and validate individual prognostic models in a large cohort of cervical cancer patients that were primarily treated with radical hysterectomy. Materials and Methods We analyzed 1,441 patients with early-stage cervical cancer treated between 2000 and 2008 from the Korean Gynecologic Oncology Group multi-institutional cohort: a train cohort (n=788) and a test cohort (n=653). Models predicting the risk for overall survival (OS), disease-free survival (DFS), lymphatic recurrence and hematogenous recurrence were developed using Cox analysis and stepwise backward selection and best-model options. The prognostic performance of each model was assessed in an independent patient cohort. Model-classified risk groups were compared to groups based on traditional risk factors. Results Independent risk factors for OS, DFS, lymphatic recurrence, and hematogenous recurrence were identified for prediction model development. Different combinations of risk factors were shown for each outcome with best predictive value. In train cohort, area under the curve (AUC) at 2 and 5 years were 0.842/0.836 for recurrence, and 0.939/0.882 for OS. When applied to a test cohort, the model also showed accurate prediction result (AUC at 2 and 5 years were 0.799/0.723 for recurrence, and 0.844/0.806 for OS, respectively). The Kaplan-Meier plot by proposed model-classified risk groups showed more distinctive survival differences between each risk group. Conclusion We developed prognostic models for OS, DFS, lymphatic and hematogenous recurrence in patients with early-stage cervical cancer. Combining weighted clinicopathologic factors, the proposed model can give more individualized predictions in clinical practice.
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