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Single nucleotide polymorphisms to predict acute radiation dermatitis in breast cancer patients: A systematic review and meta-analysis.
Aguiar, Beatriz Regina Lima de; Ferreira, Elaine Barros; Normando, Ana Gabriela Costa; Mazzeu, Juliana F; Assad, Daniele Xavier; Guerra, Eliete Neves Silva; Reis, Paula Elaine Diniz Dos.
Afiliação
  • Aguiar BRL; Health Science Graduate Program, School of Health Sciences, University of Brasilia, Brasilia, DF, Brazil. Electronic address: beatrizregina.rla@gmail.com.
  • Ferreira EB; Nursing Department, School of Health Sciences, University of Brasilia, Brasilia, DF, Brazil. Electronic address: elainebf@unb.br.
  • Normando AGC; Oral Diagnosis Department, Piracicaba Dental School, University of Campinas, Campinas, SP, Brazil. Electronic address: gabinormando@gmail.com.
  • Mazzeu JF; Laboratory of Clinical Genetics, Faculty of Medicine, University of Brasilia, Brasilia, DF, Brazil. Electronic address: julianamazzeu@yahoo.com.
  • Assad DX; Medical Oncology Department, Sírio-Libanês Hospital, Brasilia, DF, Brazil. Electronic address: dxassad@gmail.com.
  • Guerra ENS; Laboratory of Oral Histopathology, School of Health Sciences, University of Brasilia, Brasilia, DF, Brazil. Electronic address: elieteneves@unb.br.
  • Reis PEDD; Nursing Department, School of Health Sciences,University of Brasília, Brasília, DF, Brazil. Electronic address: pauladiniz@unb.br.
Crit Rev Oncol Hematol ; 173: 103651, 2022 May.
Article em En | MEDLINE | ID: mdl-35301098
PURPOSE: To identify Single Nucleotide Polymorphisms (SNPs) that can predict acute radiation dermatitis (RD) in breast cancer patients (BC), and the association between SNPs and RD severity. METHODS: We performed the search in seven databases and the gray literature, and a meta-analysis to assess SNPs in patients with RD and to evaluate the association between SNPs and severe RD. RESULTS: We included sixteen single-arm cohort studies with 4742 BC. The most prevalent SNPs were the TGFß1 rs1800469 (41%), and the GSTA1 rs3957356 (36%). Seven genotypes were associated with severe RD (PTTG1 rs3811999-CC; PTTG1 rs2961950-AA; MAD2L2 rs2294638-GG; MAT1A rs2282367-GG; GSTA1 rs3957356-CT; CD44 rs8193-CT; SH3GL1 rs243336-GC) and five SNPs were associated with lower RD (PTTG1 rs2961952-GG; CD44 rs8193-CC; PTTG1 rs3811999-CT; MAT1A rs2282367-GA; OGG1 rs2075747-AA). CONCLUSIONS: The genotyping of SNPs more prevalent may be a strategy for predicting RD in BC, and some genotypes (GSTA1 rs3957356-CT; MAT1A rs2282367-GG) are associated with severe RD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiodermite / Neoplasias da Mama Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Female / Humans Idioma: En Revista: Crit Rev Oncol Hematol Assunto da revista: HEMATOLOGIA / NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiodermite / Neoplasias da Mama Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Female / Humans Idioma: En Revista: Crit Rev Oncol Hematol Assunto da revista: HEMATOLOGIA / NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article