A pilot study of integrative genomics analysis of genes with biallelic loss and its relation to the expression of mRNA and micro-RNA in esophageal squamous cell cancer
In the current study we focused on biallelic loss and its relation to expression of mRNA and miRNA in ESCC using arrays of 500K SNP, mRNA, and miRNA in 30 cases from a high-risk region of China. Our main results are the followings: 1) 77 genes had biallelic loss in at least 10% of ESCC samples, and most of them are located on chromosome 3p (gene number, n=42), 9p (n=14), 5q (n=10) and 4p (n=7); 2) 52 of 77 genes had signals in both tumor and matched normal on Affymetrix Hu 133 array whereas 79...
Provenance — who produced it, who reused it
Linked to 35 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.
- Epithelial tumor suppressor ELF3 is a lineage-specific amplified... 2019 · 71 cites
- <i>Retracted:</i> Down‐regulation of long noncoding <scp>RNA PVT... 2019 · 71 cites
33 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
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently