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Anti-Cancer Agents in Medicinal Chemistry 2018-Oct

Immunohistochemical expression of melatonin receptor MT1 and glucose transporter GLUT1 in human breast cancer.

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Tialfi Bergamin de Castro
André de Lima Mota
Newton Antônio Bordin-Junior
Dalisio de Santi Neto
Debora Aparecida Pires de Campos Zuccari

Mots clés

Abstrait

BACKGROUND

Breast cancer is a heterogeneous disease and is the leading cause of cancer-related deaths among women. Even after diagnosis, the prognosis cannot be concluded since patients can develop resistance to therapy, which favors tumor growth, invasion and metastasis. In e recent years, research has focused on identifying significant markers that can be used to determine the prognosis. Melatonin can act through G protein-coupled MT1 receptor, which controls selected protein kinases, influences the levels of transcription factor phosphorylation, specific genes expression, proliferation, angiogenesis, cell differentiation, migration, and indirectly controls the transport of glucose in cancer cells. It is known that glucose enters the cells by glucose transporters, such as GLUT1 which shows wide tissue distribution and appears to be altered in human breast carcinoma. High GLUT1 expression is associated with increased malignant potential, invasiveness and poor prognosis in some cancers including breast cancer.

OBJECTIVE

The aim of this study was to evaluate the expression of MT1 receptor and GLUT1 in breast tumors and correlate with molecular subtypes and prognostic characteristics.

METHODS

Protein expression was performed by an immunohistochemical procedure with specific antibodies and positive and negative controls.

RESULTS

We found that MT1 high expression was associated with good prognosis subtype (Luminal A), while GLUT1 high expression was related with poor prognosis subtype (triple-negative). In addition, we found high expression of MT1 in ER+ and the inverse in GLUT1 expression. GLUT1 is also highly expressed in tumor ≥20mm.

CONCLUSIONS

These results indicate MT1 and GLUT1 as potential targets for breast cancer subtypes and prognosis.

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