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Protein expression profile and microRNA expression signature in estrogen receptor-positive and -negative breast cancers: report of two cases.

ABSTRACT: Background:Identification of the proteins that are associated with estrogen receptor (ER) status is a first step in selecting drugs against hormone-dependent breast cancer. Recently, the proteins associated with ER status were reported using liquid chromatography and tandem mass spectrometry, and microRNA (miRNA) profiling of breast cancer subtype was demonstrated using real-time-PCR. Methods:We present herein two cases with differential protein expression and miRNA profiling in ER-positive and -negative breast cancer. Results:Proteins associated with fatty acid metabolism were uniquely detected in ER-positive breast cancer. The level of miR-181a expression in ER-positive cancer was higher than that in ER-negative cancer, while the expression of miR-27a, miR-107, and miR-195 was lower in ER-positive compared with ER-negative cancer. Conclusion:These cases suggest that fatty acid synthase (FAS) and FAS-related miRNAs are important in ER-positive breast cancer.

SUBMITTER: Tsunoda Y

PROVIDER: S-EPMC6257358 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Protein expression profile and microRNA expression signature in estrogen receptor-positive and -negative breast cancers: report of two cases.

Tsunoda Yuko Y Sasaki Akiko A Sakamoto Naomi N Teraoka Kou K Nakagawa Rie R Koshida Yoshitomo Y Fukuma Eisuke E

Breast cancer (Dove Medical Press) 20181123

<h4>Background</h4>Identification of the proteins that are associated with estrogen receptor (ER) status is a first step in selecting drugs against hormone-dependent breast cancer. Recently, the proteins associated with ER status were reported using liquid chromatography and tandem mass spectrometry, and microRNA (miRNA) profiling of breast cancer subtype was demonstrated using real-time-PCR.<h4>Methods</h4>We present herein two cases with differential protein expression and miRNA profiling in E ...[more]

PMID: 30538543

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Project description:BackgroundDirectly comparing gene expression profiles of estrogen receptor-positive (ER+) and estrogen receptor-negative (ER-) breast cancers cannot determine whether differentially expressed genes between these two subtypes result from dysregulated expression in ER+ cancer or ER- cancer versus normal controls, and thus would miss critical information for elucidating the transcriptomic difference between the two subtypes.Principal findingsUsing microarray datasets from TCGA, we classified the genes dysregulated in both ER+ and ER- cancers versus normal controls into two classes: (i) genes dysregulated in the same direction but to a different extent, and (ii) genes dysregulated to opposite directions, and then validated the two classes in RNA-sequencing datasets of independent cohorts. We showed that the genes dysregulated to a larger extent in ER+ cancers than in ER- cancers enriched in glycerophospholipid and polysaccharide metabolic processes, while the genes dysregulated to a larger extent in ER- cancers than in ER+ cancers enriched in cell proliferation. Phosphorylase kinase and enzymes of glycosylphosphatidylinositol (GPI) anchor biosynthesis were upregulated to a larger extent in ER+ cancers than in ER- cancers, whereas glycogen synthase and phospholipase A2 were downregulated to a larger extent in ER+ cancers than in ER- cancers. We also found that the genes oppositely dysregulated in the two subtypes significantly enriched with known cancer genes and tended to closely collaborate with the cancer genes. Furthermore, we showed the possibility that these oppositely dysregulated genes could contribute to carcinogenesis of ER+ and ER- cancers through rewiring different subpathways.ConclusionsGPI-anchor biosynthesis and glycogenolysis were elevated and hydrolysis of phospholipids was depleted to a larger extent in ER+ cancers than in ER- cancers. Our findings indicate that the genes oppositely dysregulated in the two subtypes are potential cancer genes which could contribute to carcinogenesis of both ER+ and ER- cancers through rewiring different subpathways.

Dataset Information

Protein expression profile and microRNA expression signature in estrogen receptor-positive and -negative breast cancers: report of two cases.

Publications

Protein expression profile and microRNA expression signature in estrogen receptor-positive and -negative breast cancers: report of two cases.

Similar Datasets

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