Comprehensive analysis of gene expression alterations in breast cancer patients via PKCθ-TBK1-mTORC1 signaling pathway

通过PKCθ-TBK1-mTORC1信号通路对乳腺癌患者基因表达改变进行全面分析。

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Abstract

BACKGROUND: Breast cancer remains a leading cause of cancer-related mortality among women globally. The emergence of chemoresistance and the lack of early detection tools necessitate the identification of reliable molecular biomarkers and therapeutic targets. Protein kinase C theta (PRKCQ/PKCθ), a serine/threonine kinase, has been implicated in immune signaling and cancer. The current study was designed to investigate the relative expression levels of PRKCQ and its downstream components, including TANK-binding kinase 1 (TBK1), mammalian target of rapamycin (mTORC1), ribosomal S6 kinase (S6K), Jun Proto-Oncogene (JUNB), and the tumor suppressor gene p21, in breast cancer. The study also aimed to evaluate their association with key clinicopathological features. METHODS: Gene expression analysis was conducted using quantitative real-time PCR (qRT-PCR) on breast cancer blood samples. Expression levels were compared between breast cancer patients and healthy controls, and further analyzed to metastasis, cancer stage, histological subtype, molecular classification, family history, BRCA status, menopausal status, and lactation history. RESULTS: Expression of PRKCQ, TBK1, mTORC1, S6K, and JUNB was significantly upregulated in breast cancer blood samples compared to controls, whereas p21 expression was downregulated. Statistically significant associations were observed between gene expression levels and various clinicopathological parameters. Notably, PRKCQ showed strong differential expression across molecular subtypes with the highest expression in TNBC. A signaling axis involving PRKCQ-TBK1-mTORC1-S6K and an independent PRKCQ-JUNB-VEGFR axis was proposed. CONCLUSION: The relative expression of PRKCQ and its associated signaling components suggests their critical role in breast cancer progression. These molecules, especially PRKCQ, may serve as potential biomarkers for early detection and prognosis, as well as targets for therapeutic intervention following further validation.

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