Discover Oncology (Oct 2021)

Molecular markers associated with the outcome of tamoxifen treatment in estrogen receptor-positive breast cancer patients: scoping review and in silico analysis

  • Maiquidieli Dal Berto,
  • Giovana Tavares dos Santos,
  • Aniúsca Vieira dos Santos,
  • Andrew Oliveira Silva,
  • José Eduardo Vargas,
  • Rafael José Vargas Alves,
  • Fernanda Barbisan,
  • Ivana Beatrice Mânica da Cruz,
  • Claudia Giuliano Bica

DOI
https://doi.org/10.1007/s12672-021-00432-7
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 19

Abstract

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Abstract Tamoxifen (TMX) is used as adjuvant therapy for estrogen receptor-positive (ER+) breast cancer cases due to its affinity and inhibitory effects. However, about 30% of cases show drug resistance, resulting in recurrence and metastasis, the leading causes of death. A literature review can help to elucidate the main cellular processes involved in TMX resistance. A scoping review was performed to find clinical studies investigating the association of expression of molecular markers profiles with long-term outcomes in ER+ patients treated with TMX. In silico analysis was performed to assess the interrelationship among the selected markers, evaluating the joint involvement with the biological processes. Forty-five studies were selected according to the inclusion and exclusion criteria. After clustering and gene ontology analysis, 23 molecular markers were significantly associated, forming three clusters of strong correlation with cell cycle regulation, signal transduction of proliferative stimuli, and hormone response involved in morphogenesis and differentiation of mammary gland. Also, it was found that overexpression of markers in selected clusters is a significant indicator of poor overall survival. The proposed review offered a better understanding of independent data from the literature, revealing an integrative network of markers involved in cellular processes that could modulate the response of TMX. Analysis of these mechanisms and their molecular components could improve the effectiveness of TMX.

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