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Prognostic Model for Survival and Recurrence in Patients with Early-Stage Cervical Cancer: A Korean Gynecologic Oncology Group Study (KGOG 1028)

Title
Prognostic Model for Survival and Recurrence in Patients with Early-Stage Cervical Cancer: A Korean Gynecologic Oncology Group Study (KGOG 1028)
Authors
Paik, E. SunLim, Myong CheolKim, Moon-HongKim, Yun HwanSong, Eun SeopSeong, Seok JuSuh, Dong HoonLee, Jong-MinLee, ChulminChoi, Chel Hun
Ewha Authors
김윤환
SCOPUS Author ID
김윤환scopus
Issue Date
2020
Journal Title
CANCER RESEARCH AND TREATMENT
ISSN
1598-2998JCR Link

2005-9256JCR Link
Citation
CANCER RESEARCH AND TREATMENT vol. 52, no. 1, pp. 320 - 333
Keywords
Disease-free survivalPrognostic factorPrognosesSurvival analysesUterine cervical neoplasms
Publisher
KOREAN CANCER ASSOCIATION
Indexed
SCIE; SCOPUS; KCI WOS
Document Type
Article
Abstract
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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DOI
10.4143/crt.2019.124
Appears in Collections:
의과대학 > 의학과 > Journal papers
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