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

• Published in: Cancer medicine (Malden, MA) Vol. 12; no. 6; pp. 6499 - 6510
• Main Authors: Huang, Sheng, Chen, Yuyuan, Wu, Jiong, Chi, Yayun
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.03.2023; John Wiley and Sons Inc; Wiley
• Subjects: Age; Biopsy; Breast cancer; Breast Neoplasms - diagnosis; Disease-Free Survival; distant disease‐free survival; ErbB-2 protein; Estrogen receptors; Family medical history; Female; Glycoproteins; Humans; Medical prognosis; Metastasis; Nomograms; Oncogenes; overall survival; Patients; Peripheral blood; Prediction models; Prognosis; Risk factors; Stanniocalcin; Stanniocalcin‐1; Tumorigenesis; Tumors; overall survival; breast cancer; Stanniocalcin-1; disease-free survival; distant disease-free survival
• ISSN: 2045-7634; 2045-7634
• DOI: 10.1002/cam4.5419

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. In this study, we used stanniocalcin‐1 levels in the peripheral blood of patients with breast cancer as an independent prognostic factor and constructed nomograms with clinicopathological information. Prediction models based on STC‐1 level for prediction of OS, DDFS, and DFS at 3, 5, and 7 years have good predictive ability for BC and have potential clinical value.