Corpus 1,276 assessed · 1,177 scored · 644 reproduced ≥75 · 170 flagged ·∅ 74/100
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GSE73002

GEO first seen 2016

A novel combination of serum microRNAs for detecting breast cancer in the early stage

Organism
Homo sapiens
Samples
4,113
Type
Non-coding RNA profiling by...
Submitted
2015-09-14

MicroRNAs (miRNAs), which are stably present in serum, have been reported to be potentially useful for detecting cancer. In the present study, we examined the expression profiles of serum miRNAs in large cohorts to identify the miRNAs that can be used to detect breast cancer in the early stage. We comprehensively evaluated serum miRNA expression profiles using highly sensitive microarray analysis. A total of 1,280 serum samples of breast cancer patients stored in the National Cancer Center Bioba...

Provenance — who produced it, who reused it

Linked to 15 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.

Deposited / produced by
Akihiko ShimomuraSho ShiinoJunpei KawauchiSatoko TakizawaHiromi SakamotoMakiko OnoFumitaka TakeshitaShumpei NiidaChikako ShimizuYasuhiro FujiwaraTakayuki KinoshitaKenji TamuraTakahiro OchiyaJuntaro Matsuzaki
Reused by

14 further papers cite this accession but reuse could not be confirmed.

Deep data QC

metadata only · no data-level QC for this type

Standardized, 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.

QC cost 23 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently