Gene expression analysis of cervical cancer progression
Affymetrix-U133-plus2.0-based gene expression analysis of laser-captured epithelium from 128 cervical tissue specimens from women enrolled in SUCCEED Cervical cancer (CC) is the second most frequent cancer in women and the third leading cause of cancer death in women worldwide. Our analysis of normal, precancerous, and cancerous cervical tissue shows that progress of the disease is a cascade of increased DNA replication/repair and cell proliferation followed by substantial metabolic shifts. The...
Provenance — who produced it, who reused it
Linked to 95 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.
- FABP5 promotes lymph node metastasis in cervical cancer by repro... 2020 · 183 cites
- Single-cell transcriptomics reveals the landscape of intra-tumor... 2021 · 138 cites
- HPV E6/E7 promotes aerobic glycolysis in cervical cancer by regu... 2021 · 135 cites
- Reconstruction and analysis of circRNA‑miRNA‑mRNA network in the... 2019 · 100 cites
- A Comprehensive Analysis of Metabolomics and Transcriptomics in... 2017 · 96 cites
- Upregulation of LRRC8A by m<sup>5</sup>C modification-mediated m... 2023 · 90 cites
- YTHDF1 Aggravates the Progression of Cervical Cancer Through m6A... 2021 · 75 cites
- Bioinformatics analysis of differentially expressed genes and pa... 2021 · 71 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