Critical reviews in oncology/hematology · 2022
Single nucleotide polymorphisms to predict acute radiation dermatitis in breast cancer patients: A systematic review and meta-analysis.
СтатьяМетаанализСистематический обзорНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
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
Аннотация
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 TGFβ1 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.
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 TGFβ1 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.