STK3 higher expression association with clinical characteristics in intrinsic subtypes of breast cancer invasive ductal carcinoma patients

Journal article


Rukhsana, R., Supty, A.T., Hussain, M. and Lee, Y. 2024. STK3 higher expression association with clinical characteristics in intrinsic subtypes of breast cancer invasive ductal carcinoma patients. Breast Cancer Research and Treatment. 206, p. 119–129. https://doi.org/10.1007/s10549-024-07248-3
AuthorsRukhsana, R., Supty, A.T., Hussain, M. and Lee, Y.
Abstract

Purpose: STK3 has a central role in maintaining cell homeostasis, proliferation, growth, and apoptosis. Previously, we investigated the functional link between STK3/MST2, and estrogen receptor in MCF-7 breast cancer cells. To expand the investigation, this study evaluated STK3’s higher expression and associated genes in breast cancer intrinsic subtypes using publicly available data.

Methods: The relationship between clinical pathologic features and STK3 high expression was analyzed using descriptive and multivariate analysis.

Results: Increased STK3 expression in breast cancer was signifcantly associated with higher pathological cancer stages, and a diferent expression level was observed in the intrinsic subtypes of breast cancer. Kaplan–Meier analysis showed that breast cancer with high STK3 had a lower survival rate in IDC patients than that with low STK3 expression (p<0.05). The multivariate analysis unveiled a strong correlation between STK3 expression and the survival rate among IDC patients, demonstrating hazard ratios for lower expression. In the TCGA dataset, the hazard ratio was 0.56 (95% CI 0.34–0.94, p=0.029) for patients deceased with tumor, and 0.62 (95% CI 0.42–0.92, p=0.017) for all deceased patients. Additionally, in the
METABRIC dataset, the hazard ratio was 0.76 (95% CI 0.64–0.91, p=0.003) for those deceased with tumor. From GSEA outcomes 7 gene sets were selected based on statistical signifcance (FDR<0.25 and p<0.05). Weighted Sum model (WSM) derived top 5% genes also have higher expression in basal and lower in luminal A in association with STK3.

Conclusion: By introducing a novel bioinformatics approach that combines GSEA and WSM, the study successfully identifed the top 5% of genes associated with higher expression of STK3.

KeywordsBreast cancer; Intrinsic subtype; STK3 higher expression; Gene sets (pathways); Leading-edge genes
Year2024
JournalBreast Cancer Research and Treatment
Journal citation206, p. 119–129
PublisherSpringer Nature
ISSN1573-7217
Digital Object Identifier (DOI)https://doi.org/10.1007/s10549-024-07248-3
Web address (URL)https://doi.org/10.1007/s10549-024-07248-3
Accepted author manuscript
File Access Level
Open
Output statusPublished
Publication dates
Online09 Apr 2024
Publication process dates
Accepted04 Jan 2024
Deposited14 Feb 2025
Supplemental file
File Access Level
Open
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