Cargando…
Development and internal validation of nomograms for the prediction of postoperative survival of patients with grade 4 renal cell carcinoma (RCC)
BACKGROUND: To develop successful prognostic models for grade 4 renal cell carcinoma (RCC) following partial nephrectomy and radical nephrectomy. METHODS: The nomograms were established based on a retrospective study of 135 patients who underwent partial and radical nephrectomy for grade 4 RCC at th...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807345/ https://www.ncbi.nlm.nih.gov/pubmed/33457235 http://dx.doi.org/10.21037/tau-19-687 |
_version_ | 1783636722804850688 |
---|---|
author | Zhu, Jun Liu, Zhifu Zhang, Zhongyuan Fan, Yu Chen, Yuke He, Zhisong Zhou, Liqun Jin, Jie Shen, Cheng Yu, Wei |
author_facet | Zhu, Jun Liu, Zhifu Zhang, Zhongyuan Fan, Yu Chen, Yuke He, Zhisong Zhou, Liqun Jin, Jie Shen, Cheng Yu, Wei |
author_sort | Zhu, Jun |
collection | PubMed |
description | BACKGROUND: To develop successful prognostic models for grade 4 renal cell carcinoma (RCC) following partial nephrectomy and radical nephrectomy. METHODS: The nomograms were established based on a retrospective study of 135 patients who underwent partial and radical nephrectomy for grade 4 RCC at the Department of Urology, Peking University First Hospital from January 2013 to October 2018. The predictive performance of the nomograms was assessed by the calibration plot and C-index. The results were validated using bootstrap resampling. RESULTS: Aspartate transaminase (AST), the maximum diameter of tumor (cutoff value =7 cm), lymph node metastasis, and the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) risk group were independent factors for determining the overall survival (OS) and cancer-specific survival (CSS) in multivariate analysis. AST, the maximum diameter of the tumor (cutoff value =7 cm), and lymph node metastasis were found to be independent variables for progression-free survival (PFS) in multivariate analysis. These variables were used for the studies to establish nomograms. All calibration plots revealed excellent predictive accuracy of the models. The C-indexes of the nomograms for predicting OS, CSS and PFS were 0.729 (95% CI, 0.659–0.799), 0.725 (95% CI, 0.654–0.796) and 0.702 (95% CI, 0.626–0.778), respectively. Moreover, the recurrence rate was not associated with open or laparoscopic radical nephrectomy in our cohort (P=0.126). CONCLUSIONS: We have developed easy-to-use models that are internally validated to predict postoperative 1-, 3-, and 5-year OS, CSS, and PFS rates of grade 4 RCC patients. The new models could aid in identifying high-risk patients, making postoperative therapeutic and follow-up strategies as well as predicting patients’ survival after externally validated. Besides, our study shows that the recurrence rate is not associated with open or laparoscopic radical nephrectomy. |
format | Online Article Text |
id | pubmed-7807345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-78073452021-01-15 Development and internal validation of nomograms for the prediction of postoperative survival of patients with grade 4 renal cell carcinoma (RCC) Zhu, Jun Liu, Zhifu Zhang, Zhongyuan Fan, Yu Chen, Yuke He, Zhisong Zhou, Liqun Jin, Jie Shen, Cheng Yu, Wei Transl Androl Urol Original Article BACKGROUND: To develop successful prognostic models for grade 4 renal cell carcinoma (RCC) following partial nephrectomy and radical nephrectomy. METHODS: The nomograms were established based on a retrospective study of 135 patients who underwent partial and radical nephrectomy for grade 4 RCC at the Department of Urology, Peking University First Hospital from January 2013 to October 2018. The predictive performance of the nomograms was assessed by the calibration plot and C-index. The results were validated using bootstrap resampling. RESULTS: Aspartate transaminase (AST), the maximum diameter of tumor (cutoff value =7 cm), lymph node metastasis, and the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) risk group were independent factors for determining the overall survival (OS) and cancer-specific survival (CSS) in multivariate analysis. AST, the maximum diameter of the tumor (cutoff value =7 cm), and lymph node metastasis were found to be independent variables for progression-free survival (PFS) in multivariate analysis. These variables were used for the studies to establish nomograms. All calibration plots revealed excellent predictive accuracy of the models. The C-indexes of the nomograms for predicting OS, CSS and PFS were 0.729 (95% CI, 0.659–0.799), 0.725 (95% CI, 0.654–0.796) and 0.702 (95% CI, 0.626–0.778), respectively. Moreover, the recurrence rate was not associated with open or laparoscopic radical nephrectomy in our cohort (P=0.126). CONCLUSIONS: We have developed easy-to-use models that are internally validated to predict postoperative 1-, 3-, and 5-year OS, CSS, and PFS rates of grade 4 RCC patients. The new models could aid in identifying high-risk patients, making postoperative therapeutic and follow-up strategies as well as predicting patients’ survival after externally validated. Besides, our study shows that the recurrence rate is not associated with open or laparoscopic radical nephrectomy. AME Publishing Company 2020-12 /pmc/articles/PMC7807345/ /pubmed/33457235 http://dx.doi.org/10.21037/tau-19-687 Text en 2020 Translational Andrology and Urology. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Zhu, Jun Liu, Zhifu Zhang, Zhongyuan Fan, Yu Chen, Yuke He, Zhisong Zhou, Liqun Jin, Jie Shen, Cheng Yu, Wei Development and internal validation of nomograms for the prediction of postoperative survival of patients with grade 4 renal cell carcinoma (RCC) |
title | Development and internal validation of nomograms for the prediction of postoperative survival of patients with grade 4 renal cell carcinoma (RCC) |
title_full | Development and internal validation of nomograms for the prediction of postoperative survival of patients with grade 4 renal cell carcinoma (RCC) |
title_fullStr | Development and internal validation of nomograms for the prediction of postoperative survival of patients with grade 4 renal cell carcinoma (RCC) |
title_full_unstemmed | Development and internal validation of nomograms for the prediction of postoperative survival of patients with grade 4 renal cell carcinoma (RCC) |
title_short | Development and internal validation of nomograms for the prediction of postoperative survival of patients with grade 4 renal cell carcinoma (RCC) |
title_sort | development and internal validation of nomograms for the prediction of postoperative survival of patients with grade 4 renal cell carcinoma (rcc) |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807345/ https://www.ncbi.nlm.nih.gov/pubmed/33457235 http://dx.doi.org/10.21037/tau-19-687 |
work_keys_str_mv | AT zhujun developmentandinternalvalidationofnomogramsforthepredictionofpostoperativesurvivalofpatientswithgrade4renalcellcarcinomarcc AT liuzhifu developmentandinternalvalidationofnomogramsforthepredictionofpostoperativesurvivalofpatientswithgrade4renalcellcarcinomarcc AT zhangzhongyuan developmentandinternalvalidationofnomogramsforthepredictionofpostoperativesurvivalofpatientswithgrade4renalcellcarcinomarcc AT fanyu developmentandinternalvalidationofnomogramsforthepredictionofpostoperativesurvivalofpatientswithgrade4renalcellcarcinomarcc AT chenyuke developmentandinternalvalidationofnomogramsforthepredictionofpostoperativesurvivalofpatientswithgrade4renalcellcarcinomarcc AT hezhisong developmentandinternalvalidationofnomogramsforthepredictionofpostoperativesurvivalofpatientswithgrade4renalcellcarcinomarcc AT zhouliqun developmentandinternalvalidationofnomogramsforthepredictionofpostoperativesurvivalofpatientswithgrade4renalcellcarcinomarcc AT jinjie developmentandinternalvalidationofnomogramsforthepredictionofpostoperativesurvivalofpatientswithgrade4renalcellcarcinomarcc AT shencheng developmentandinternalvalidationofnomogramsforthepredictionofpostoperativesurvivalofpatientswithgrade4renalcellcarcinomarcc AT yuwei developmentandinternalvalidationofnomogramsforthepredictionofpostoperativesurvivalofpatientswithgrade4renalcellcarcinomarcc |