KIF18A as a potential biomarker to distinguish different breast cancer subtypes based on receptor status
Caglar Berkel
KIF18A as a potential biomarker to distinguish different breast cancer subtypes based on receptor status
The inhibition of KIF18A selectively reduces the viability of chromosomally unstable cancers due to increased mitotic vulnerability. KIF18A expression was also reported to be upregulated and associated with tumor aggressiveness in certain cancer types including breast cancer. Here, I first showed that KIF18A mRNA expression is higher in triple-negative breast cancer (TNBC) than in non-TNBC. I also found that ER (estrogen receptor)-negative and PR (progesterone receptor)-negative breast cancer cells have higher KIF18A mRNA expression compared to ER-positive and PR-positive breast cancer cells, respectively. In contrast, HER2-positive breast tumors have higher KIF18A expression compared to HER2-negative breast tumors. In terms of PAM50 breast cancer subtypes, KIF18A transcript levels were found to be the highest in basal-like breast cancer, followed by HER2-enriched, luminal B, normal-like and luminal A. Besides, in non-TNBC, cells with high AR (androgen receptor) mRNA expression have higher KIF18A mRNA expression than cells with low AR mRNA expression. Both non-TNBC and TNBC cells with high BRCA1 and BRCA2 mRNA expression levels were observed to have higher KIF18A mRNA expression than those with low BRCA1 and BRCA2 mRNA expression levels, respectively. Combined, this study demonstrates that breast tumors with low and high expression of ER, PR, HER2, AR and BRCA1/2 have differential transcript levels of KIF18A, pointing that KIF18A might contribute to the molecular differences between different breast cancer subtypes.
KIF18A / Estrogen receptor / Progesterone receptor / HER2 / Breast cancer / Androgen receptor / BRCA / Triple-negative breast cancer / Basal-like breast cancer
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Kassambara, A. (2023). ggpubr: 'ggplot2' based publication ready plots. R package version 0.6.0. https://CRAN.R-project.org/package=ggpubr. Accessed 26 Dec 2023.
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
Morgan, M., Obenchain, V., Hester, J., & Pagès, H. (2022). SummarizedExperiment: SummarizedExperiment container. R package version 1.26.1. https://bioconductor.org/packages/SummarizedExperiment. Accessed 26 Dec 2023.
|
[] |
Morgan, M., Shepherd, L. (2022a). AnnotationHub: Client to access AnnotationHub resources. R package version 3.4.0.
|
[] |
Morgan, M., Shepherd, L. (2022b). ExperimentHub: Client to access ExperimentHub resources. R package version 2.4.0.
|
[] |
Ooms, J. (2023). magick: Advanced graphics and image-processing in R. R package version 2.7.4. https://CRAN.R-project.org/package=magick. Accessed 26 Dec 2023.
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
R Core Team. (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
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[] |
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