Microarray gene-expression profiles of 69 pancreatic tumors and 61 adjacent non-tumor tissue from patients with pancreatic ductal adenocarcinoma
In order to identify biologically relevant tumor markers , we analyzed gene expression profiling of tumor and adjacent non-tumor tissues from PDAC cases. We compared the microarray gene-expression profiles of MIF-high and MIF low expressing tumors as detrmined by qRT-PCR. Affymetrix gene-expression analysis was done in two sets. Affymetrix data from sample number 1-90 were earlier submited by us as GEO accession#: GSE28735. The batch effect between the two sets of data was removed using Partek...
Provenance — who produced it, who reused it
Linked to 144 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.
- Sialic acids in pancreatic cancer cells drive tumour-associated... 2021 · 300 cites
- Identification of a Nine-Gene Signature and Establishment of a P... 2019 · 243 cites
- YTHDC1-mediated augmentation of miR-30d in repressing pancreatic... 2021 · 200 cites
- Identification of candidate diagnostic and prognostic biomarkers... 2019 · 142 cites
- The RNA methyltransferase NSUN6 suppresses pancreatic cancer dev... 2021 · 124 cites
- The role of m6A-related genes in the prognosis and immune microe... 2020 · 118 cites
- Development and Verification of the Hypoxia- and Immune-Associat... 2021 · 96 cites
- Downregulated miR-98-5p promotes PDAC proliferation and metastas... 2018 · 92 cites
- Novel necroptosis-related gene signature for predicting the prog... 2022 · 90 cites
- CD73 acts as a prognostic biomarker and promotes progression and... 2020 · 84 cites
- SQLE promotes pancreatic cancer growth by attenuating ER stress... 2023 · 84 cites
- Metabolic detection and systems analyses of pancreatic ductal ad... 2021 · 81 cites
- RNA N6-methyladenosine demethylase FTO promotes pancreatic cance... 2022 · 72 cites
67 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