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Adaptive Biotechnologies TCRbeta sequencing of 174 primary and 42 metastatic pancreatic ductal adenocarcinoma tumor samples from FFPE curls and 215 matched blood plus 73 additional blood samples

GSE281005 Homo sapiens (human) Other 505 samples Submitted 2024/11/06 Platform GPL20301
At a glance

human · 505 samples

Organism
Homo sapiens (human)
Samples
505 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
Patients with metastatic pancreatic ductal adenocarcinoma (PDAC) survive longer if disease spreads to the lung but not the liver. We generated overlapping, multi-omic datasets to identify molecular and cellular features that distinguish patients whose disease develops liver metastasis (liver cohort) from those whose disease develops lung metastasis without liver metastases (lung cohort).
Read the full summary ↓
Lung cohort patients survived longer than liver cohort patients, despite sharing the same tumor subtype. We developed a pORG gene set enriched in liver cohort versus lung cohort primary tumors. We identified ongoing replication stress (RS) response pathways in high pORG/liver cohort tumors, while low pORG/lung cohort tumors had greater densities of lymphocytes and shared T cell clonal responses. Our study demonstrates that liver-avid PDAC is associated with tolerance to ongoing RS, limited tumor immunity, and less favorable outcomes; whereas low RS, lung-avid/liver-averse tumors are associated with active tumor immunity that may account for favorable outcomes.
This dataset
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Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE281005_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA1181869. Searching any of these in the dataset finder brings you back here.

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