Cargando…

Accuracy of a nomogram to predict the survival benefit of surgical axillary staging in T1 breast cancer patients

T1 breast cancer patients have favorable clinical outcomes, so that whether axillary stating (AS) surgery can be omitted in these patients is still unclear. This retrospective cohort study developed a nomogram to predict the cancer-specific survival (CSS) of T1 breast cancer patients with and withou...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yuxia, Zhang, Yuanqi, Yang, Weixiong, Li, Xiaoping, Zhu, Liling, Chen, Kai, Chen, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039583/
https://www.ncbi.nlm.nih.gov/pubmed/29953003
http://dx.doi.org/10.1097/MD.0000000000011273
_version_ 1783338703772450816
author Chen, Yuxia
Zhang, Yuanqi
Yang, Weixiong
Li, Xiaoping
Zhu, Liling
Chen, Kai
Chen, Xiang
author_facet Chen, Yuxia
Zhang, Yuanqi
Yang, Weixiong
Li, Xiaoping
Zhu, Liling
Chen, Kai
Chen, Xiang
author_sort Chen, Yuxia
collection PubMed
description T1 breast cancer patients have favorable clinical outcomes, so that whether axillary stating (AS) surgery can be omitted in these patients is still unclear. This retrospective cohort study developed a nomogram to predict the cancer-specific survival (CSS) of T1 breast cancer patients with and without AS and estimate the survival benefit of AS in these patients. We used surveillance, epidemiology, and end results (SEER) database to identify 232,195 breast cancer patients with T1 tumors diagnosed between 1990 and 2008. In the training cohort, we used the Kaplan–Meier method and the competing risk analysis, with non-CSS as the competing risk, to screen for prognostic factors for CSS. A nomogram to predict the CSS, with receiving AS or not as one of the predictors, was developed and externally validated, using the C-index and calibration plots. The survival benefit of AS can be estimated by the difference of 2 predicted CSS, when the patient was considered as having and not having AS. With a median follow-up of 109 months, the CSS of the study population were 96.3%, 92.3%, and 88.5% at 5, 10, and 15 years, respectively. Significant predictors for CSS identified in the training cohort were used to develop a nomogram, which was validated internally [C-index = 0.707, 95% confidence interval (95% CI) 0.702–0.712] and externally (C-index = 0.704, 95% CI 0.698–0.710). The nomogram was well calibrated. With this nomogram, AS was predicted to have less than 2% benefit of 5-, 10-, and 15-year CSS in 60.6% (140,599/232,195), 15.5% (36,074/232,195), and 8.6% (20,043/232,195) of the entire study population, respectively. The new nomogram can accurately predict the CSS of T1 breast cancer patients, and also be able to estimate the survival benefit of AS in these patients. Prospective studies are needed to confirm our findings.
format Online
Article
Text
id pubmed-6039583
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Wolters Kluwer Health
record_format MEDLINE/PubMed
spelling pubmed-60395832018-07-16 Accuracy of a nomogram to predict the survival benefit of surgical axillary staging in T1 breast cancer patients Chen, Yuxia Zhang, Yuanqi Yang, Weixiong Li, Xiaoping Zhu, Liling Chen, Kai Chen, Xiang Medicine (Baltimore) Research Article T1 breast cancer patients have favorable clinical outcomes, so that whether axillary stating (AS) surgery can be omitted in these patients is still unclear. This retrospective cohort study developed a nomogram to predict the cancer-specific survival (CSS) of T1 breast cancer patients with and without AS and estimate the survival benefit of AS in these patients. We used surveillance, epidemiology, and end results (SEER) database to identify 232,195 breast cancer patients with T1 tumors diagnosed between 1990 and 2008. In the training cohort, we used the Kaplan–Meier method and the competing risk analysis, with non-CSS as the competing risk, to screen for prognostic factors for CSS. A nomogram to predict the CSS, with receiving AS or not as one of the predictors, was developed and externally validated, using the C-index and calibration plots. The survival benefit of AS can be estimated by the difference of 2 predicted CSS, when the patient was considered as having and not having AS. With a median follow-up of 109 months, the CSS of the study population were 96.3%, 92.3%, and 88.5% at 5, 10, and 15 years, respectively. Significant predictors for CSS identified in the training cohort were used to develop a nomogram, which was validated internally [C-index = 0.707, 95% confidence interval (95% CI) 0.702–0.712] and externally (C-index = 0.704, 95% CI 0.698–0.710). The nomogram was well calibrated. With this nomogram, AS was predicted to have less than 2% benefit of 5-, 10-, and 15-year CSS in 60.6% (140,599/232,195), 15.5% (36,074/232,195), and 8.6% (20,043/232,195) of the entire study population, respectively. The new nomogram can accurately predict the CSS of T1 breast cancer patients, and also be able to estimate the survival benefit of AS in these patients. Prospective studies are needed to confirm our findings. Wolters Kluwer Health 2018-06-29 /pmc/articles/PMC6039583/ /pubmed/29953003 http://dx.doi.org/10.1097/MD.0000000000011273 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Research Article
Chen, Yuxia
Zhang, Yuanqi
Yang, Weixiong
Li, Xiaoping
Zhu, Liling
Chen, Kai
Chen, Xiang
Accuracy of a nomogram to predict the survival benefit of surgical axillary staging in T1 breast cancer patients
title Accuracy of a nomogram to predict the survival benefit of surgical axillary staging in T1 breast cancer patients
title_full Accuracy of a nomogram to predict the survival benefit of surgical axillary staging in T1 breast cancer patients
title_fullStr Accuracy of a nomogram to predict the survival benefit of surgical axillary staging in T1 breast cancer patients
title_full_unstemmed Accuracy of a nomogram to predict the survival benefit of surgical axillary staging in T1 breast cancer patients
title_short Accuracy of a nomogram to predict the survival benefit of surgical axillary staging in T1 breast cancer patients
title_sort accuracy of a nomogram to predict the survival benefit of surgical axillary staging in t1 breast cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039583/
https://www.ncbi.nlm.nih.gov/pubmed/29953003
http://dx.doi.org/10.1097/MD.0000000000011273
work_keys_str_mv AT chenyuxia accuracyofanomogramtopredictthesurvivalbenefitofsurgicalaxillarystagingint1breastcancerpatients
AT zhangyuanqi accuracyofanomogramtopredictthesurvivalbenefitofsurgicalaxillarystagingint1breastcancerpatients
AT yangweixiong accuracyofanomogramtopredictthesurvivalbenefitofsurgicalaxillarystagingint1breastcancerpatients
AT lixiaoping accuracyofanomogramtopredictthesurvivalbenefitofsurgicalaxillarystagingint1breastcancerpatients
AT zhuliling accuracyofanomogramtopredictthesurvivalbenefitofsurgicalaxillarystagingint1breastcancerpatients
AT chenkai accuracyofanomogramtopredictthesurvivalbenefitofsurgicalaxillarystagingint1breastcancerpatients
AT chenxiang accuracyofanomogramtopredictthesurvivalbenefitofsurgicalaxillarystagingint1breastcancerpatients