Gene Signature for Aggression of Melanoma Metastases - Melanoma Metastasis
Metastasis is the deadliest phase of cancer progression. Experimental models using immunodeficient mice have been used to gain insights into the mechanisms of metastasis. We report here the identification of a “metastasis aggressiveness gene expression signature” derived using human melanoma cells selected based on their metastatic potentials in a xenotransplant metastasis model. Comparison with expression data from human melanoma patients shows that this metastasis gene signature correlates wit...
Provenance — who produced it, who reused it
Linked to 38 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.
- A Systems Biology Approach Identifies FUT8 as a Driver of Melano... 2017 · 313 cites
- Regional Activation of Myosin II in Cancer Cells Drives Tumor Pr... 2019 · 173 cites
- Tumor-associated B-cells induce tumor heterogeneity and therapy... 2017 · 141 cites
- Harnessing BET Inhibitor Sensitivity Reveals AMIGO2 as a Melanom... 2017 · 140 cites
- Identification of Core Genes and Pathways in Melanoma Metastasis... 2022 · 114 cites
- Comprehensive DNA methylation study identifies novel progression... 2017 · 99 cites
- Overexpression of CDCA8 promotes the malignant progression of cu... 2018 · 83 cites
31 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