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Prognostic Factors and a Model for Occult Breast Cancer: A Population-Based Cohort Study

Occult breast cancer (OBC) is a special type of breast cancer of an unknown primary origin. Early stage OBC is treated as stage II–III breast cancer. Currently, there are no models for predicting the survival outcomes. Hence, we aimed to evaluate the role of the positive lymph node ratio (PLNR) in O...

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Autores principales: Zhang, Di, Zhai, Jingtong, Li, Lixi, Wu, Yun, Ma, Fei, Xu, Binghe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698700/
https://www.ncbi.nlm.nih.gov/pubmed/36431280
http://dx.doi.org/10.3390/jcm11226804
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author Zhang, Di
Zhai, Jingtong
Li, Lixi
Wu, Yun
Ma, Fei
Xu, Binghe
author_facet Zhang, Di
Zhai, Jingtong
Li, Lixi
Wu, Yun
Ma, Fei
Xu, Binghe
author_sort Zhang, Di
collection PubMed
description Occult breast cancer (OBC) is a special type of breast cancer of an unknown primary origin. Early stage OBC is treated as stage II–III breast cancer. Currently, there are no models for predicting the survival outcomes. Hence, we aimed to evaluate the role of the positive lymph node ratio (PLNR) in OBC and further establish and validate a prognostic nomogram. Patients with stage T0N+M0 breast cancer were enrolled from the Surveillance, Epidemiology, and End Results database. Univariate and multivariate Cox analyses were used to evaluate the effects of prognostic factors on breast-cancer-specific survival (BCSS), and a nomogram was established and validated for OBC. Overall, 843 patients were included, and the 5-year BCSS rate was 92.4%. Patients with a PLNR < 0.54 had better BCSS rates than those with a PLNR ≥ 0.54. The nomogram combined clinicopathological parameters, including the PLNR, pN stage, and estrogen receptor status, and showed a higher accuracy than the TNM staging system in predicting the BCSS. The patients could be stratified into different risk groups based on their prognostic scores. Patients in the low-risk subgroup showed an improved BCSS compared those in the high-risk subgroup. In conclusion, the PLNR is an independent prognostic factor for OBC. The PLNR-based nomogram has a better predictive ability than the TNM staging system and could be of great value for the treatment of OBC and prediction of its prognosis.
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spelling pubmed-96987002022-11-26 Prognostic Factors and a Model for Occult Breast Cancer: A Population-Based Cohort Study Zhang, Di Zhai, Jingtong Li, Lixi Wu, Yun Ma, Fei Xu, Binghe J Clin Med Article Occult breast cancer (OBC) is a special type of breast cancer of an unknown primary origin. Early stage OBC is treated as stage II–III breast cancer. Currently, there are no models for predicting the survival outcomes. Hence, we aimed to evaluate the role of the positive lymph node ratio (PLNR) in OBC and further establish and validate a prognostic nomogram. Patients with stage T0N+M0 breast cancer were enrolled from the Surveillance, Epidemiology, and End Results database. Univariate and multivariate Cox analyses were used to evaluate the effects of prognostic factors on breast-cancer-specific survival (BCSS), and a nomogram was established and validated for OBC. Overall, 843 patients were included, and the 5-year BCSS rate was 92.4%. Patients with a PLNR < 0.54 had better BCSS rates than those with a PLNR ≥ 0.54. The nomogram combined clinicopathological parameters, including the PLNR, pN stage, and estrogen receptor status, and showed a higher accuracy than the TNM staging system in predicting the BCSS. The patients could be stratified into different risk groups based on their prognostic scores. Patients in the low-risk subgroup showed an improved BCSS compared those in the high-risk subgroup. In conclusion, the PLNR is an independent prognostic factor for OBC. The PLNR-based nomogram has a better predictive ability than the TNM staging system and could be of great value for the treatment of OBC and prediction of its prognosis. MDPI 2022-11-17 /pmc/articles/PMC9698700/ /pubmed/36431280 http://dx.doi.org/10.3390/jcm11226804 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Di
Zhai, Jingtong
Li, Lixi
Wu, Yun
Ma, Fei
Xu, Binghe
Prognostic Factors and a Model for Occult Breast Cancer: A Population-Based Cohort Study
title Prognostic Factors and a Model for Occult Breast Cancer: A Population-Based Cohort Study
title_full Prognostic Factors and a Model for Occult Breast Cancer: A Population-Based Cohort Study
title_fullStr Prognostic Factors and a Model for Occult Breast Cancer: A Population-Based Cohort Study
title_full_unstemmed Prognostic Factors and a Model for Occult Breast Cancer: A Population-Based Cohort Study
title_short Prognostic Factors and a Model for Occult Breast Cancer: A Population-Based Cohort Study
title_sort prognostic factors and a model for occult breast cancer: a population-based cohort study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698700/
https://www.ncbi.nlm.nih.gov/pubmed/36431280
http://dx.doi.org/10.3390/jcm11226804
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