Virtual Microdissection of Pancreatic Ductal Adenocarcinoma Reveals Tumor and Stroma Subtypes.
Pancreatic ductal adenocarcinoma (PDAC) remains a lethal disease with a 5-year survival of 4%. A key hallmark of PDAC is extensive stromal involvement, which makes capturing precise tumor-specific molecular information difficult. Here, we have overcome this problem by applying blind source separation to a diverse collection of PDAC gene expression microarray data, which includes primary, metastatic, and normal samples. By digitally separating tumor, stroma, and normal gene expression, we have id...
Provenance — who produced it, who reused it
Linked to 68 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
- ISG15 and ISGylation is required for pancreatic cancer stem cell... 2020 · 138 cites
- The role of m6A-related genes in the prognosis and immune microe... 2020 · 118 cites
- Pancreatic cancer survival analysis defines a signature that pre... 2018 · 96 cites
- SQLE promotes pancreatic cancer growth by attenuating ER stress... 2023 · 84 cites
- Macrophages direct cancer cells through a LOXL2-mediated metasta... 2022 · 72 cites
60 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
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently