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Unveiling the Prognostic Power and Immune Landscape of MyD88 in Breast Cancer: an Integrative Bioinformatics and IHC Approach. | LitMetric

AI Article Synopsis

  • Breast cancer presents a major global health issue, complicated by its diverse characteristics and resistance to treatment, while current staging systems fail to fully represent its biological complexity.
  • This study investigated MyD88, an important protein in inflammatory responses, using advanced techniques like RNA sequencing and immunohistochemistry to examine its role in breast cancer.
  • Elevated MyD88 levels correlated with better patient outcomes and increased sensitivity to chemotherapy, suggesting its potential as a predictive biomarker and a valuable tool for personalized medicine in treating breast cancer.

Article Abstract

Breast cancer continues to be a significant global health challenge due to its heterogeneity and propensity for therapeutic resistance. The current tumor, node, and metastasis (TNM) staging and molecular classification systems are limited in capturing the full biological complexity of breast cancer. Myeloid differentiation primary response protein 88 (MyD88), a key adaptor protein in inflammatory signaling pathways, has been implicated in various oncogenic processes. This integrative study combines bulk RNA sequencing (RNA-seq), single-cell RNA sequencing (scRNA-seq), and immunohistochemistry (IHC) to explore the prognostic significance and immunological implications of MyD88 in breast cancer. We discovered that elevated MyD88 expression is associated with improved patient outcomes and is linked to the immunological landscape of breast cancer, including immune cell infiltration and the expression of immune checkpoint genes. Furthermore, our analysis indicates that MyD88 high-expressing tumors are more sensitive to chemotherapeutic agents, suggesting its potential as a predictive biomarker for therapeutic response. A nomogram incorporating MyD88 expression with other clinical variables was developed to estimate survival probabilities, enhancing the model's predictive accuracy. Our findings highlight MyD88 as a promising candidate for personalized medicine approaches in breast cancer, warranting further investigation into its mechanistic role and therapeutic potential.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11660130PMC
http://dx.doi.org/10.7150/jca.103403DOI Listing

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