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Preoperative prognostic model for localized and locally advanced renal cell carcinoma: Michinoku Japan Urological Cancer Study Group.
- Source :
-
International journal of clinical oncology [Int J Clin Oncol] 2023 Nov; Vol. 28 (11), pp. 1538-1544. Date of Electronic Publication: 2023 Sep 22. - Publication Year :
- 2023
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Abstract
- Background: The Modified International Metastatic Renal Cell Carcinoma Dataset Consortium model (mIMDC) is a preoperative prognostic model for pT3cN0M0 renal cell carcinoma (RCC). This study aimed to validate the mIMDC and to construct a new model in a localized and locally advanced RCC (LLRCC).<br />Methods: A database was established (the Michinoku Japan Urological Cancer Study Group database) consisting of 79 patients who were clinically diagnosed with LLRCC (cT3b/c/4NanyM0) and underwent radical nephrectomy from December 2007 to May 2018. Using univariable and multivariable analyses, we retrospectively analyzed disease-free survival (DFS) and overall survival (OS) in this database, constructed a new prognostic model according to these results, and estimated the model fit using c-index on the new and mIMDC models.<br />Results: Independent poorer prognostic factors for both DFS and OS include the following: ≥ 1 Eastern Cooperative Oncology Group performance status, 2.0 mg/dL C-reactive protein, and > upper normal limit of white blood cell count. The median DFS in the favorable (no factor), intermediate (one factor), and poor-risk group (two or three factors) was 76.1, 14.3, and 4.0 months, respectively (P < 0.001). The 3-year OS in the favorable, intermediate, and poor-risk group were 92%, 44%, and 0%, respectively (P < 0.001). The c-indices of the new and mIMDC models were 0.67 and 0.60 for DFS (P = 0.060) and 0.74 and 0.63 for OS (P = 0.012), respectively.<br />Conclusion: The new preoperative prognostic model in LLRCC can be used in patient care and clinical trials.<br /> (© 2023. The Author(s) under exclusive licence to Japan Society of Clinical Oncology.)
Details
- Language :
- English
- ISSN :
- 1437-7772
- Volume :
- 28
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- International journal of clinical oncology
- Publication Type :
- Academic Journal
- Accession number :
- 37740070
- Full Text :
- https://doi.org/10.1007/s10147-023-02401-2