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Prognostic nomogram to predict cancer-specific survival with small-cell carcinoma of the prostate: a multi-institutional study.
Di, Yupeng; Song, Jiazhao; Song, Zhuo; Wang, Yingjie; Meng, Lingling.
Afiliación
  • Di Y; Department of Radiotherapy, Air Force Medical Center, PLA, Beijing, China.
  • Song J; Department of Radiotherapy, Air Force Medical Center, PLA, Beijing, China.
  • Song Z; Department of Radiotherapy, Air Force Medical Center, PLA, Beijing, China.
  • Wang Y; Department of Radiotherapy, Air Force Medical Center, PLA, Beijing, China.
  • Meng L; Department of Radiation Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Front Oncol ; 14: 1349888, 2024.
Article en En | MEDLINE | ID: mdl-38800400
ABSTRACT

Objective:

The aim of this study is to examine the predictive factors for cancer-specific survival (CSS) in patients diagnosed with Small-Cell Carcinoma of the Prostate (SCCP) and to construct a prognostic model.

Methods:

Cases were selected using the Surveillance, Epidemiology, and End Results (SEER) database. The Kaplan-Meier method was utilized to calculate survival rates, while Lasso and Cox regression were employed to analyze prognostic factors. An independent prognostic factor-based nomogram was created to forecast CSS at 12 and 24 months. The model's predictive efficacy was assessed using the consistency index (C-index), calibration curve, and decision curve analysis (DCA) in separate tests.

Results:

Following the analysis of Cox and Lasso regression, age, race, Summary stage, and chemotherapy were determined to be significant risk factors (P < 0.05). In the group of participants who received training, the rate of 12-month CSS was 44.6%, the rate of 24-month CSS was 25.5%, and the median time for CSS was 10.5 months. The C-index for the training cohort was 0.7688 ± 0.024. As for the validation cohort, it was 0.661 ± 0.041. According to the nomogram, CSS was accurately predicted and demonstrated consistent and satisfactory predictive performance at both 12 months (87.3% compared to 71.2%) and 24 months (80.4% compared to 71.7%). As shown in the external validation calibration plot, the AUC for 12- and 24-month is 64.6% vs. 56.9% and 87.0% vs. 70.7%, respectively. Based on the calibration plot of the CSS nomogram at both the 12-month and 24-month marks, it can be observed that both the actual values and the nomogram predictions indicate a predominantly stable CSS. When compared to the AJCC staging system, DCA demonstrated a higher level of accuracy in predicting CSS through the use of a nomogram.

Conclusion:

Clinical prognostic factors can be utilized with nomograms to forecast CSS in Small-Cell Carcinoma of the Prostate (SCCP).
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Front Oncol Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Front Oncol Año: 2024 Tipo del documento: Article