Cargando…

Log Odds Could Better Predict Survival in Muscle-Invasive Bladder Cancer Patients Compared with pN and Lymph Node Ratio

Background: The aim of this study was to assess the prognostic value of lymph node-associated variables, pN, lymph node ratio (LNR) and log odds (LODDS), in patients with bladder cancer. Methods: In the discovery cohort, 3358 patients with muscle-invasive bladder cancer (MIBC) and treated with radic...

Descripción completa

Detalles Bibliográficos
Autores principales: Jin, Shengming, Wang, Beihe, Zhu, Yiping, Dai, Weixing, Xu, Peihang, Yang, Chen, Shen, Yijun, Ye, Dingwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329862/
https://www.ncbi.nlm.nih.gov/pubmed/30662545
http://dx.doi.org/10.7150/jca.27399
_version_ 1783386885263982592
author Jin, Shengming
Wang, Beihe
Zhu, Yiping
Dai, Weixing
Xu, Peihang
Yang, Chen
Shen, Yijun
Ye, Dingwei
author_facet Jin, Shengming
Wang, Beihe
Zhu, Yiping
Dai, Weixing
Xu, Peihang
Yang, Chen
Shen, Yijun
Ye, Dingwei
author_sort Jin, Shengming
collection PubMed
description Background: The aim of this study was to assess the prognostic value of lymph node-associated variables, pN, lymph node ratio (LNR) and log odds (LODDS), in patients with bladder cancer. Methods: In the discovery cohort, 3358 patients with muscle-invasive bladder cancer (MIBC) and treated with radical cystectomy were identified from the Surveillance, Epidemiology, and End Results (SEER) database. A total of 173 patients with MIBC who underwent radical cystectomy at Shanghai Cancer Center between 2010 and 2013 were enrolled in the validation cohort. LNR and LODDS were calculated in two cohorts and prognostic value was compared between these two variables. Results: In the two cohorts, survival differences between LODDS, LNR and pN (from the 7(th) AJCC TNM system) cohorts were statistically significant. Univariate and multivariate analyses confirmed that LNR and LODDS were independent prognostic factors and LODDS was better at predicting prognosis than pN and LNR for patients with MIBC. Moreover, LODDS had a better discriminative ability and model fit, proven by the highest Harrell's concordance index and lowest AIC among the three variables. Furthermore, scatter plots of pN, LNR and LODDS revealed that several groups of LNR and pN were heterogeneous and could be better stratified by LODDS in terms of prognosis estimation. Conclusion: LODDS has significant prognostic value for patients with MIBC. Moreover, LODDS is better at predicting prognosis for MIBC patients compared with pN and LNR.
format Online
Article
Text
id pubmed-6329862
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Ivyspring International Publisher
record_format MEDLINE/PubMed
spelling pubmed-63298622019-01-18 Log Odds Could Better Predict Survival in Muscle-Invasive Bladder Cancer Patients Compared with pN and Lymph Node Ratio Jin, Shengming Wang, Beihe Zhu, Yiping Dai, Weixing Xu, Peihang Yang, Chen Shen, Yijun Ye, Dingwei J Cancer Research Paper Background: The aim of this study was to assess the prognostic value of lymph node-associated variables, pN, lymph node ratio (LNR) and log odds (LODDS), in patients with bladder cancer. Methods: In the discovery cohort, 3358 patients with muscle-invasive bladder cancer (MIBC) and treated with radical cystectomy were identified from the Surveillance, Epidemiology, and End Results (SEER) database. A total of 173 patients with MIBC who underwent radical cystectomy at Shanghai Cancer Center between 2010 and 2013 were enrolled in the validation cohort. LNR and LODDS were calculated in two cohorts and prognostic value was compared between these two variables. Results: In the two cohorts, survival differences between LODDS, LNR and pN (from the 7(th) AJCC TNM system) cohorts were statistically significant. Univariate and multivariate analyses confirmed that LNR and LODDS were independent prognostic factors and LODDS was better at predicting prognosis than pN and LNR for patients with MIBC. Moreover, LODDS had a better discriminative ability and model fit, proven by the highest Harrell's concordance index and lowest AIC among the three variables. Furthermore, scatter plots of pN, LNR and LODDS revealed that several groups of LNR and pN were heterogeneous and could be better stratified by LODDS in terms of prognosis estimation. Conclusion: LODDS has significant prognostic value for patients with MIBC. Moreover, LODDS is better at predicting prognosis for MIBC patients compared with pN and LNR. Ivyspring International Publisher 2019-01-01 /pmc/articles/PMC6329862/ /pubmed/30662545 http://dx.doi.org/10.7150/jca.27399 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Jin, Shengming
Wang, Beihe
Zhu, Yiping
Dai, Weixing
Xu, Peihang
Yang, Chen
Shen, Yijun
Ye, Dingwei
Log Odds Could Better Predict Survival in Muscle-Invasive Bladder Cancer Patients Compared with pN and Lymph Node Ratio
title Log Odds Could Better Predict Survival in Muscle-Invasive Bladder Cancer Patients Compared with pN and Lymph Node Ratio
title_full Log Odds Could Better Predict Survival in Muscle-Invasive Bladder Cancer Patients Compared with pN and Lymph Node Ratio
title_fullStr Log Odds Could Better Predict Survival in Muscle-Invasive Bladder Cancer Patients Compared with pN and Lymph Node Ratio
title_full_unstemmed Log Odds Could Better Predict Survival in Muscle-Invasive Bladder Cancer Patients Compared with pN and Lymph Node Ratio
title_short Log Odds Could Better Predict Survival in Muscle-Invasive Bladder Cancer Patients Compared with pN and Lymph Node Ratio
title_sort log odds could better predict survival in muscle-invasive bladder cancer patients compared with pn and lymph node ratio
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329862/
https://www.ncbi.nlm.nih.gov/pubmed/30662545
http://dx.doi.org/10.7150/jca.27399
work_keys_str_mv AT jinshengming logoddscouldbetterpredictsurvivalinmuscleinvasivebladdercancerpatientscomparedwithpnandlymphnoderatio
AT wangbeihe logoddscouldbetterpredictsurvivalinmuscleinvasivebladdercancerpatientscomparedwithpnandlymphnoderatio
AT zhuyiping logoddscouldbetterpredictsurvivalinmuscleinvasivebladdercancerpatientscomparedwithpnandlymphnoderatio
AT daiweixing logoddscouldbetterpredictsurvivalinmuscleinvasivebladdercancerpatientscomparedwithpnandlymphnoderatio
AT xupeihang logoddscouldbetterpredictsurvivalinmuscleinvasivebladdercancerpatientscomparedwithpnandlymphnoderatio
AT yangchen logoddscouldbetterpredictsurvivalinmuscleinvasivebladdercancerpatientscomparedwithpnandlymphnoderatio
AT shenyijun logoddscouldbetterpredictsurvivalinmuscleinvasivebladdercancerpatientscomparedwithpnandlymphnoderatio
AT yedingwei logoddscouldbetterpredictsurvivalinmuscleinvasivebladdercancerpatientscomparedwithpnandlymphnoderatio