Gene expression profiling study by RNA-seq in colorectal cancer
The objective of this study is to identify a prognostic signature in colorectal cancer (CRC) patients with diverse progression and heterogeneity of CRCs. We generated RNA-seq data of 54 samples (normal colon, primary CRC, and liver metastasis) from 18 CRC patients and, from the RNA-seq data, identified significant genes associated with aggressiveness of CRC. Through diverse statistical methods including generalized linear model likelihood ratio test, two significantly activated regulators were i...
Provenance — who produced it, who reused it
Linked to 39 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.
- Long non-coding RNA RAMS11 promotes metastatic colorectal cancer... 2020 · 129 cites
- LncRNA CASC9 interacts with CPSF3 to regulate TGF-β signaling in... 2019 · 117 cites
- MIR22HG acts as a tumor suppressor via TGFβ/SMAD signaling and f... 2020 · 105 cites
- PKLR promotes colorectal cancer liver colonization through induc... 2016 · 86 cites
- Long noncoding RNA B3GALT5-AS1 suppresses colon cancer liver met... 2018 · 81 cites
34 further papers cite this accession but reuse could not be confirmed.
Deep data QC
33/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The F grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0