NFAT transcriptional activity is associated with metastatic capacity in colon cancer
Colorectal carcinoma is the third leading cause of cancer-related death in the United States. In order to understand the mechanism/signaling pathways responsible for invasion, migration and metastasis in colorectal cancer, we developed an integrative and comparative genetic approach to infer transcriptional regulatory mechanisms underlying colon cancer progression. Accordingly, we filtered fourteen human colorectal cancer (CRC) microarray data sets, from an immune competent mouse model of meta...
Provenance — who produced it, who reused it
Linked to 79 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.
- Machine learning-based integration develops an immune-derived ln... 2022 · 914 cites
- Glutaminase 1 expression in colorectal cancer cells is induced b... 2019 · 213 cites
- The long non-coding RNA CYTOR drives colorectal cancer progressi... 2018 · 162 cites
- Identification of pyroptosis-related subtypes, the development o... 2021 · 150 cites
- XBP1 regulates the protumoral function of tumor-associated macro... 2021 · 90 cites
- Targeting inhibition of prognosis-related lipid metabolism genes... 2023 · 85 cites
72 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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.