ArticleCancer medicine2022
The initial expression alterations occurring to transcription factors during the formation of breast cancer: Evidence from bioinformatics.
Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 13 citations in OpenAlex.
- CNet-Cox for interpretable network biomarker discovery and survival risk scoring in precise breast cancer prognosis.NPJ digital medicine · 2026Article
- ScRNA-seq Identifies High CXCL8 Linked to Liver Fibrosis in HBeAg-negative Chronic Hepatitis B Patients With Low HBsAg.Gastro hep advances · 2026Article
- The Role of Non-Coding Regions in Breast Cancer: From Gene Regulation to Therapeutic Implications.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Tumor Microenvironment On-A-Chip and Single-Cell Analysis Reveal Synergistic Stromal-Immune Crosstalk on Breast Cancer Progression.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
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- CancerHubs: a systematic data mining and elaboration approach for identifying novel cancer-related protein interaction hubs.Briefings in bioinformatics · 2024Article
- A comprehensive genome-based analysis identifies the anti-cancerous role of the anoikis-related gene ADH1A in modulating the pathogenesis of breast cancer.Molecular genetics and genomics : MGG · 2024Article
- Identification of TFR2 as a novel ferroptosis‑related gene that serves an important role in prognosis and progression of triple‑negative breast cancer.Oncology letters · 2024Article
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- Article
- The initial expression alterations occurring to transcription factors during the formation of breast cancer: Evidence from bioinformatics.Cancer medicine · 2022Article
- Screening of ferroptosis-related genes in sepsis-induced liver failure and analysis of immune correlation.PeerJ · 2022Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast cancer (BC) is the leading malignancy among women worldwide.
aimThis work aimed to present a comprehensively bioinformatic analysis of gene expression profiles and to identify the hub genes during BC tumorigenesis, providing potential biomarkers and targets for the diagnosis and therapy of BC. MATERIALS &
methodsIn this study, multiple public databases, bioinformatics approaches, and online analytical tools were employed and the real-time reverse transcription polymerase chain reaction was implemented.
resultsFirst, we identified 10, 107, and 3869 differentially expressed genes (DEGs) from three gene expression datasets (GSE9574, GSE15852, and GSE42568, covering normal, para-cancerous, and BC samples, respectively), and investigated different biological functions and pathways involved. Then, we screened out 8, 16, and 29 module genes from these DEGs, respectively. Next, 10 candidate genes were determined through expression and survival analyses. We noted that seven candidate genes JUN, FOS, FOSB, EGR1, ZFP36, CFD, and PPARG were downregulated in BC compared to normal tissues and lower expressed in aggressive types of BC (basal, HER2 DISCUSSION &
conclusionWe presented differential gene expression profiles among normal, para-cancerous, and BC tissues and further identified candidate genes that might contribute to tumorigenesis and progression of BC, as potential diagnostic and prognostic targets for BC patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.