A Nomogram Including Sarcopenia for Predicting Progression-Free Survival in Patients with Localized Papillary Renal Cell Carcinoma: A Retrospective Cohort Study
- Wenhui Su 1, Yukun Wu 1, Shufen Liao 2, Zhiqiang Zhang 3, Yubing Zhang 1, Wei Ou 1, Jiajie Yu 4, Fangzheng Xiang 1, Cheng Luo 5, Fufu Zheng 6
- Wenhui Su 1, Yukun Wu 1, Shufen Liao 2
- 1Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
- 2Department of Anesthesia Surgery Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
- 3Department of Urology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
- 4Department of Andrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
- 5Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. luoch37@mail.sysu.edu.cn.
- 6Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. zhengfuf@mail.sysu.edu.cn.
- 0Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study developed a prognostic nomogram for localized papillary renal cell carcinoma (pRCC) patients. The nomogram incorporates sarcopenia, body composition, tumor diameter, and surgical technique to predict cancer progression, aiding survival prognostication.
Area Of Science
- Urology
- Oncology
- Radiology
Background
- Subclassification removal for papillary renal cell carcinoma (pRCC) impacts survival prognostication post-surgery.
- Sarcopenia is a known prognostic factor in renal cell carcinoma (RCC) patients.
- Body composition parameters require comprehensive investigation for localized pRCC survival prediction.
Purpose Of The Study
- To investigate the survival prediction of body composition parameters for localized pRCC.
- To develop a prognostic model for predicting progression-free survival in localized pRCC patients.
Main Methods
- Retrospective analysis of 105 localized pRCC patients.
- Measurement of skeletal muscle index (SMI), subcutaneous adipose tissue (SAT), and perirenal adipose tissue (PRAT) from preoperative CT scans.
- Development of a prognostic nomogram using Cox regression analysis and validated with C-index and ROC curves.
Main Results
- Sarcopenia was present in 74.29% of patients.
- Multivariate analysis identified sarcopenia, SAT, PRAT, tumor diameter, and surgical technique as independent risk factors for progression.
- The developed prognostic nomogram demonstrated good predictive performance with a C-index of 0.831.
Conclusions
- A prognostic nomogram integrating sarcopenia, SAT, PRAT, tumor diameter, and surgical technique can predict progression in localized pRCC.
- This nomogram aids in survival prognostication for localized pRCC patients.
- Further external validation is required for clinical implementation.
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