2020
DOI: 10.21203/rs.3.rs-17365/v2
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FABP7 is a potential biomarker to predict response to neoadjuvant chemotherapy for breast cancer

Abstract: Background: Early prediction of response to neoadjuvant chemotherapy (NAC) is critical in choosing appropriate chemotherapeutic regimen for patients with locally advanced breast cancer. Herein, we sought to identify potential biomarkers to predict the response to neoadjuvant chemotherapy for breast cancer patients. Methods: Three genomic profiles acquired by microarray analysis from subjects with or without residual tumors after NAC downloaded from the GEO database were used to screen the differentially expres… Show more

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“…However, in the past decade, the data was provided by public databases without cost, which led to the development of high-throughput sequencing at a high rate of speed, by minging TCGA, GEO, GTEx, CCLE and other databases [28][29][30][31][32]. High-throughput genomic studies provided cutting-edge sights into the molecular mechanisms and identifed new potential targets of breast cancer [33][34][35][36]. Nevertheless, using a single biomarker for predicting often relatively lower predictive effects, so a risk model for predicting the OS and DRFS OF patients [37][38][39][40][41][42][43] and a nomogram were popular which showed superior predictive effects as a better alternative [18, [44][45][46].…”
Section: Discussionmentioning
confidence: 99%
“…However, in the past decade, the data was provided by public databases without cost, which led to the development of high-throughput sequencing at a high rate of speed, by minging TCGA, GEO, GTEx, CCLE and other databases [28][29][30][31][32]. High-throughput genomic studies provided cutting-edge sights into the molecular mechanisms and identifed new potential targets of breast cancer [33][34][35][36]. Nevertheless, using a single biomarker for predicting often relatively lower predictive effects, so a risk model for predicting the OS and DRFS OF patients [37][38][39][40][41][42][43] and a nomogram were popular which showed superior predictive effects as a better alternative [18, [44][45][46].…”
Section: Discussionmentioning
confidence: 99%