ArticleOncoTargets and therapy2016
Screening of biomarkers for prediction of response to and prognosis after chemotherapy for breast cancers.
Article in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Article
- NFYA promotes malignant behavior of triple-negative breast cancer in mice through the regulation of lipid metabolism.Communications biology · 2023Article
- Identification of co-regulated genes associated with doxorubicin resistance in the MCF-7/ADR cancer cell line.Frontiers in oncology · 2023Article
- Analysis of Differentially Expressed Long Non-coding RNAs and the Associated TF-mRNA Network in Tongue Squamous Cell Carcinoma.Frontiers in oncology · 2020Article
- Overexpression and alternative splicing of NF-YA in breast cancer.Scientific reports · 2019Article
- Article
- The animal nuclear factor Y: an enigmatic and important heterotrimeric transcription factor.American journal of cancer research · 2018Review
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Authors and funding
2 authors.
Funding
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Abstract
objectiveTo screen the biomarkers having the ability to predict prognosis after chemotherapy for breast cancers.
methodsThree microarray data of breast cancer patients undergoing chemotherapy were collected from Gene Expression Omnibus database. After preprocessing, data in GSE41112 were analyzed using significance analysis of microarrays to screen the differentially expressed genes (DEGs). The DEGs were further analyzed by Differentially Coexpressed Genes and Links to construct a function module, the prognosis efficacy of which was verified by the other two datasets (GSE22226 and GSE58644) using Kaplan-Meier plots. The involved genes in function module were subjected to a univariate Cox regression analysis to confirm whether the expression of each prognostic gene was associated with survival.
resultsA total of 511 DEGs between breast cancer patients who received chemotherapy or not were obtained, consisting of 421 upregulated and 90 downregulated genes. Using the Differentially Coexpressed Genes and Links package, 1,244 differentially coexpressed genes (DCGs) were identified, among which 36 DCGs were regulated by the transcription factor complex NFY (NFYA, NFYB, NFYC). These 39 genes constructed a gene module to classify the samples in GSE22226 and GSE58644 into three subtypes and these subtypes exhibited significantly different survival rates. Furthermore, several genes of the 39 DCGs were shown to be significantly associated with good (such as CDC20) and poor (such as ARID4A) prognoses following chemotherapy.
conclusionOur present study provided a serial of biomarkers for predicting the prognosis of chemotherapy or targets for development of alternative treatment (ie, CDC20 and ARID4A) in breast cancer patients.
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