Cargando…

Comparisons of different lymph node staging systems for predicting overall survival of node-positive patients with renal cell carcinoma: a retrospective cohort study using the Surveillance, Epidemiology and End Results database

OBJECTIVES: To compare the prognostic values of three lymph node staging systems in renal cell carcinoma (RCC), including the number of positive lymph nodes (NPLN), lymph node ratio (LNR) and log odds of positive lymph nodes (LODDS). DESIGN: A retrospective cohort study using data from the Surveilla...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Wenwen, Jiang, Wei, Wu, Qingna, Chen, Jiaojiao, Zhang, Zhiyu, Yu, Shengqiang, Guo, Chenyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151935/
https://www.ncbi.nlm.nih.gov/pubmed/37185648
http://dx.doi.org/10.1136/bmjopen-2022-068044
_version_ 1785035647751290880
author Zheng, Wenwen
Jiang, Wei
Wu, Qingna
Chen, Jiaojiao
Zhang, Zhiyu
Yu, Shengqiang
Guo, Chenyu
author_facet Zheng, Wenwen
Jiang, Wei
Wu, Qingna
Chen, Jiaojiao
Zhang, Zhiyu
Yu, Shengqiang
Guo, Chenyu
author_sort Zheng, Wenwen
collection PubMed
description OBJECTIVES: To compare the prognostic values of three lymph node staging systems in renal cell carcinoma (RCC), including the number of positive lymph nodes (NPLN), lymph node ratio (LNR) and log odds of positive lymph nodes (LODDS). DESIGN: A retrospective cohort study using data from the Surveillance, Epidemiology and End Results (SEER) database. SETTING AND PARTICIPANTS: 1904 patients with pathological N1 RCC, diagnosed from 2004 to 2015 and underwent nephrectomy combined with lymph node dissection, were identified from the SEER database. PRIMARY OUTCOME MEASURE: The primary outcome of this study was overall survival (OS). Restricted cubic spline functions and multivariable Cox regression analyses were employed to characterise the associations of OS with NPLN, LNR and LODDS, respectively. RESULTS: Data of 1904 eligible RCC patients were extracted from the SEER database. The mortality risks of RCC patients increased with the increasing of NPLN, LNR and LODDS. NPLN (NPLN3 vs NPLN1, HR 1.22, 95% CI 1.05 to 1.43, p=0.001), LNR (LNR3 vs LNR1, HR 1.46, 95% CI 1.28 to 1.67, p<0.001; LNR2 vs LNR1, HR 1.28, 95% CI 1.09 to 1.50, p=0.002) and LODDS (LODDS3 vs LODDS1, HR 1.48, 95% CI 1.28 to 1.72, p<0.001; LODDS2 vs LODDS1, HR 1.34, 95% CI 1.17 to 1.53, p<0.001) were all independent prognostic factors of OS. The predictive abilities of LNR (Akaike information criterion, AIC: 19576.3, optimism-corrected C-index: 0.677) and LODDS (AIC: 19579.2, optimism-corrected C-index: 0.676) were comparable, superior to NPLN (AIC: 19603.7, optimism-corrected C-index: 0.673). In subgroup analyses, the LODDS classification could better stratify survival of RCC patients, in particular for those with the number of dissected lymph nodes <13 or NPLN≤2. CONCLUSIONS: NPLN, LNR and LODDS were all independent predictors of OS in RCC. When compared with NPLN and LNR, LODDS had a better performance in survival prediction and risk stratification. The three metrics all had the potential to be integrated into future versions of the American Joint Committee on Cancer staging manual.
format Online
Article
Text
id pubmed-10151935
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-101519352023-05-03 Comparisons of different lymph node staging systems for predicting overall survival of node-positive patients with renal cell carcinoma: a retrospective cohort study using the Surveillance, Epidemiology and End Results database Zheng, Wenwen Jiang, Wei Wu, Qingna Chen, Jiaojiao Zhang, Zhiyu Yu, Shengqiang Guo, Chenyu BMJ Open Oncology OBJECTIVES: To compare the prognostic values of three lymph node staging systems in renal cell carcinoma (RCC), including the number of positive lymph nodes (NPLN), lymph node ratio (LNR) and log odds of positive lymph nodes (LODDS). DESIGN: A retrospective cohort study using data from the Surveillance, Epidemiology and End Results (SEER) database. SETTING AND PARTICIPANTS: 1904 patients with pathological N1 RCC, diagnosed from 2004 to 2015 and underwent nephrectomy combined with lymph node dissection, were identified from the SEER database. PRIMARY OUTCOME MEASURE: The primary outcome of this study was overall survival (OS). Restricted cubic spline functions and multivariable Cox regression analyses were employed to characterise the associations of OS with NPLN, LNR and LODDS, respectively. RESULTS: Data of 1904 eligible RCC patients were extracted from the SEER database. The mortality risks of RCC patients increased with the increasing of NPLN, LNR and LODDS. NPLN (NPLN3 vs NPLN1, HR 1.22, 95% CI 1.05 to 1.43, p=0.001), LNR (LNR3 vs LNR1, HR 1.46, 95% CI 1.28 to 1.67, p<0.001; LNR2 vs LNR1, HR 1.28, 95% CI 1.09 to 1.50, p=0.002) and LODDS (LODDS3 vs LODDS1, HR 1.48, 95% CI 1.28 to 1.72, p<0.001; LODDS2 vs LODDS1, HR 1.34, 95% CI 1.17 to 1.53, p<0.001) were all independent prognostic factors of OS. The predictive abilities of LNR (Akaike information criterion, AIC: 19576.3, optimism-corrected C-index: 0.677) and LODDS (AIC: 19579.2, optimism-corrected C-index: 0.676) were comparable, superior to NPLN (AIC: 19603.7, optimism-corrected C-index: 0.673). In subgroup analyses, the LODDS classification could better stratify survival of RCC patients, in particular for those with the number of dissected lymph nodes <13 or NPLN≤2. CONCLUSIONS: NPLN, LNR and LODDS were all independent predictors of OS in RCC. When compared with NPLN and LNR, LODDS had a better performance in survival prediction and risk stratification. The three metrics all had the potential to be integrated into future versions of the American Joint Committee on Cancer staging manual. BMJ Publishing Group 2023-04-26 /pmc/articles/PMC10151935/ /pubmed/37185648 http://dx.doi.org/10.1136/bmjopen-2022-068044 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Oncology
Zheng, Wenwen
Jiang, Wei
Wu, Qingna
Chen, Jiaojiao
Zhang, Zhiyu
Yu, Shengqiang
Guo, Chenyu
Comparisons of different lymph node staging systems for predicting overall survival of node-positive patients with renal cell carcinoma: a retrospective cohort study using the Surveillance, Epidemiology and End Results database
title Comparisons of different lymph node staging systems for predicting overall survival of node-positive patients with renal cell carcinoma: a retrospective cohort study using the Surveillance, Epidemiology and End Results database
title_full Comparisons of different lymph node staging systems for predicting overall survival of node-positive patients with renal cell carcinoma: a retrospective cohort study using the Surveillance, Epidemiology and End Results database
title_fullStr Comparisons of different lymph node staging systems for predicting overall survival of node-positive patients with renal cell carcinoma: a retrospective cohort study using the Surveillance, Epidemiology and End Results database
title_full_unstemmed Comparisons of different lymph node staging systems for predicting overall survival of node-positive patients with renal cell carcinoma: a retrospective cohort study using the Surveillance, Epidemiology and End Results database
title_short Comparisons of different lymph node staging systems for predicting overall survival of node-positive patients with renal cell carcinoma: a retrospective cohort study using the Surveillance, Epidemiology and End Results database
title_sort comparisons of different lymph node staging systems for predicting overall survival of node-positive patients with renal cell carcinoma: a retrospective cohort study using the surveillance, epidemiology and end results database
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151935/
https://www.ncbi.nlm.nih.gov/pubmed/37185648
http://dx.doi.org/10.1136/bmjopen-2022-068044
work_keys_str_mv AT zhengwenwen comparisonsofdifferentlymphnodestagingsystemsforpredictingoverallsurvivalofnodepositivepatientswithrenalcellcarcinomaaretrospectivecohortstudyusingthesurveillanceepidemiologyandendresultsdatabase
AT jiangwei comparisonsofdifferentlymphnodestagingsystemsforpredictingoverallsurvivalofnodepositivepatientswithrenalcellcarcinomaaretrospectivecohortstudyusingthesurveillanceepidemiologyandendresultsdatabase
AT wuqingna comparisonsofdifferentlymphnodestagingsystemsforpredictingoverallsurvivalofnodepositivepatientswithrenalcellcarcinomaaretrospectivecohortstudyusingthesurveillanceepidemiologyandendresultsdatabase
AT chenjiaojiao comparisonsofdifferentlymphnodestagingsystemsforpredictingoverallsurvivalofnodepositivepatientswithrenalcellcarcinomaaretrospectivecohortstudyusingthesurveillanceepidemiologyandendresultsdatabase
AT zhangzhiyu comparisonsofdifferentlymphnodestagingsystemsforpredictingoverallsurvivalofnodepositivepatientswithrenalcellcarcinomaaretrospectivecohortstudyusingthesurveillanceepidemiologyandendresultsdatabase
AT yushengqiang comparisonsofdifferentlymphnodestagingsystemsforpredictingoverallsurvivalofnodepositivepatientswithrenalcellcarcinomaaretrospectivecohortstudyusingthesurveillanceepidemiologyandendresultsdatabase
AT guochenyu comparisonsofdifferentlymphnodestagingsystemsforpredictingoverallsurvivalofnodepositivepatientswithrenalcellcarcinomaaretrospectivecohortstudyusingthesurveillanceepidemiologyandendresultsdatabase