Down-regulation of ECRG4, a candidate tumor suppressor gene in human breast cancer
ECRG4 is a promising tumor suppressor gene (TSG) recently identified in esophageal carcinoma. Its expression and prognostic value have never been explored in breast cancer. Using DNA microarray, we examined ECRG4 mRNA expression in 353 invasive breast cancer samples. A meta-analysis was performed on a large public retrospective gene expression dataset (n=1,387) to analyze correlation between ECRG4 expression and histo-clinical features including survival.
Provenance — who produced it, who reused it
Linked to 31 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- Survival analysis across the entire transcriptome identifies bio... 2021 · 1,740 cites
- Disulfiram (DSF) acts as a copper ionophore to induce copper‐dep... 2015 · 238 cites
- Oncogenic long noncoding RNA landscape in breast cancer 2017 · 221 cites
- Biomolecular Events in Cancer Revealed by Attractor Metagenes 2013 · 105 cites
- TMBIM6/BI-1 contributes to cancer progression through assembly w... 2020 · 80 cites
- Bioinformatics analysis of the serine and glycine pathway in can... 2014 · 79 cites
- Screening and predicted value of potential biomarkers for breast... 2021 · 71 cites
24 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently