Secondary Analysis of Human Bulk RNA-Seq Dataset Suggests Potential Mechanisms for Letrozole Resistance in Estrogen-Positive (ER+) Breast Cancer

Author:

Sutherland Lincoln1,Lang Jacob1,Gonzalez-Juarbe Norberto23,Pickett Brett E.1ORCID

Affiliation:

1. Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA

2. J. Craig Venter Institute, Rockville, MD 20850, USA

3. Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA

Abstract

Estrogen receptor-positive (ER+) breast cancer is common among postmenopausal women and is frequently treated with Letrozole, which inhibits aromatase from synthesizing estrogen from androgens. Decreased estrogen slows the growth of tumors and can be an effective treatment. The increase in Letrozole resistance poses a unique problem for patients. To better understand the underlying molecular mechanism(s) of Letrozole resistance, we reanalyzed transcriptomic data by comparing individuals who responded to Letrozole therapy (responders) to those who were resistant to treatment (non-responders). We identified SOX11 and S100A9 as two significant differentially expressed genes (DEGs) between these patient cohorts, with “PLK1 signaling events” being the most significant signaling pathway. We also identified PRDX4 and E2F8 gene products as being the top mechanistic transcriptional markers for ER+ treatment resistance. Many of the significant DEGs that we identified play a known role in ER+ breast cancer or other types of cancer, which partially validate our results. Several of the gene products we identified are novel in the context of ER+ breast cancer. Many of the genes that we identified warrant further research to elucidate the more specific molecular mechanisms of Letrozole resistance in this patient population and could potentially be used as prognostic markers with further wet lab validation. We anticipate that these findings could contribute to improved detection and therapeutic outcomes in aromatase-resistant ER+ breast cancer patients.

Publisher

MDPI AG

Reference131 articles.

1. Breast Cancer Statistics, 2022;Giaquinto;CA A Cancer J. Clin.,2022

2. (2024, June 08). Postmenopause. Cleveland Clinic, Available online: https://my.clevelandclinic.org/health/diseases/21837-postmenopause.

3. US Census Bureau (2023). The Older Population: 2020.

4. (2024, June 08). Breast Cancer Statistics. Available online: https://www.cancer.org/cancer/types/breast-cancer/about/how-common-is-breast-cancer.html.

5. Estrogen Receptor Status and the Future Burden of Invasive and In Situ Breast Cancers in the United States;Rosenberg;JNCI J. Natl. Cancer Inst.,2015

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