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Development and validation of novel risk prediction models of breast cancer based on stanniocalcin‐1 level

PURPOSE: The function of stanniocalcin‐1 (STC‐1) in the oncogenesis and progression of tumors has been extensively studied. The purpose of this study was to investigate the relationship between secreted STC‐1 and prognosis in patients with breast cancer (BC) and to determine whether STC‐1 could be a...

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Autores principales: Huang, Sheng, Chen, Yuyuan, Wu, Jiong, Chi, Yayun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067061/
https://www.ncbi.nlm.nih.gov/pubmed/36336967
http://dx.doi.org/10.1002/cam4.5419
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author Huang, Sheng
Chen, Yuyuan
Wu, Jiong
Chi, Yayun
author_facet Huang, Sheng
Chen, Yuyuan
Wu, Jiong
Chi, Yayun
author_sort Huang, Sheng
collection PubMed
description PURPOSE: The function of stanniocalcin‐1 (STC‐1) in the oncogenesis and progression of tumors has been extensively studied. The purpose of this study was to investigate the relationship between secreted STC‐1 and prognosis in patients with breast cancer (BC) and to determine whether STC‐1 could be a key prognostic factor in BC. METHODS: The STC‐1 level was measured by ELISA and clinical data from 1210 female patients with BC were used to develop and validate nomograms. We then verified the models through the plotting of ROC curves and calibration curves, calculating the C‐index, and performing decision curve analyses (DCA). RESULTS: The level of STC‐1 in the peripheral plasma was significantly correlated with the T stage, N stage, clinical stage, grade, hormone receptors, HER‐2 status, and tumor subtype. Cox regression analyses revealed that estrogen receptor(ER) status, N stage, and STC‐1 level were risk factors for overall survival (OS), whereas T stage, N stage, and STC‐1 level were independent prognostic factors for distant disease‐free survival (DDFS) and disease‐free survival (DFS). Both the ROC curve and the C‐index confirmed the high resolution of these models, while the DCA identified the feasibility of their practical application. In addition, the calibration curves indicated good consistency between the predicted and actual survival rates. CONCLUSION: Nomograms were created based on STC‐1 levels for 3‐, 5‐, and 7‐year OS, DDFS, and DFS of patients with BC respectively. As a key prognostic factor for BC, peripheral blood STC‐1 level can be used clinically as a liquid biopsy indicator.
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spelling pubmed-100670612023-04-03 Development and validation of novel risk prediction models of breast cancer based on stanniocalcin‐1 level Huang, Sheng Chen, Yuyuan Wu, Jiong Chi, Yayun Cancer Med RESEARCH ARTICLES PURPOSE: The function of stanniocalcin‐1 (STC‐1) in the oncogenesis and progression of tumors has been extensively studied. The purpose of this study was to investigate the relationship between secreted STC‐1 and prognosis in patients with breast cancer (BC) and to determine whether STC‐1 could be a key prognostic factor in BC. METHODS: The STC‐1 level was measured by ELISA and clinical data from 1210 female patients with BC were used to develop and validate nomograms. We then verified the models through the plotting of ROC curves and calibration curves, calculating the C‐index, and performing decision curve analyses (DCA). RESULTS: The level of STC‐1 in the peripheral plasma was significantly correlated with the T stage, N stage, clinical stage, grade, hormone receptors, HER‐2 status, and tumor subtype. Cox regression analyses revealed that estrogen receptor(ER) status, N stage, and STC‐1 level were risk factors for overall survival (OS), whereas T stage, N stage, and STC‐1 level were independent prognostic factors for distant disease‐free survival (DDFS) and disease‐free survival (DFS). Both the ROC curve and the C‐index confirmed the high resolution of these models, while the DCA identified the feasibility of their practical application. In addition, the calibration curves indicated good consistency between the predicted and actual survival rates. CONCLUSION: Nomograms were created based on STC‐1 levels for 3‐, 5‐, and 7‐year OS, DDFS, and DFS of patients with BC respectively. As a key prognostic factor for BC, peripheral blood STC‐1 level can be used clinically as a liquid biopsy indicator. John Wiley and Sons Inc. 2022-11-06 /pmc/articles/PMC10067061/ /pubmed/36336967 http://dx.doi.org/10.1002/cam4.5419 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
Huang, Sheng
Chen, Yuyuan
Wu, Jiong
Chi, Yayun
Development and validation of novel risk prediction models of breast cancer based on stanniocalcin‐1 level
title Development and validation of novel risk prediction models of breast cancer based on stanniocalcin‐1 level
title_full Development and validation of novel risk prediction models of breast cancer based on stanniocalcin‐1 level
title_fullStr Development and validation of novel risk prediction models of breast cancer based on stanniocalcin‐1 level
title_full_unstemmed Development and validation of novel risk prediction models of breast cancer based on stanniocalcin‐1 level
title_short Development and validation of novel risk prediction models of breast cancer based on stanniocalcin‐1 level
title_sort development and validation of novel risk prediction models of breast cancer based on stanniocalcin‐1 level
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067061/
https://www.ncbi.nlm.nih.gov/pubmed/36336967
http://dx.doi.org/10.1002/cam4.5419
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