Expression data from pulmonary metastases and primary tumors of clear-cell renal cell carcinoma (ccRCC) with different disease-free survivals
The understanding of metastatic spread is limited and molecular mechanisms causing particular characteristics of metastasis are largely unknown. This comprises the extremely varying dormancy periods of tumor cells in the secondary organ after metastatic spread, represented by the disease-free survival (DFS) of the patients, or differing numbers of metastases in different patients. Knowing the molecular fundamentals of these phenomena would support the individual prediction of patients´ outcome a...
Provenance — who produced it, who reused it
Linked to 16 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.
- Tumor‐suppressive <i>micro<scp>RNA</scp>‐143/145</i> cluster tar... 2013 · 137 cites
- Regulation of the collagen cross-linking enzymes LOXL2 and PLOD2... 2016 · 119 cites
- Tumor‐suppressive <i>micro<scp>RNA</scp>‐1291</i> directly regul... 2013 · 95 cites
- Construction of a Lactate-Related Prognostic Signature for Predi... 2022 · 86 cites
- microRNA-210-3p depletion by CRISPR/Cas9 promoted tumorigenesis... 2017 · 73 cites
11 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