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ANGPT1 as a Prognostic Biomarker in a Large-Scale Pan-cancer Analysis

GSE286446 Homo sapiens (human) RNA-seq (gene expression) 13 samples Submitted 2025/12/31 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 13 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
13 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Angiopoietin 1 (ANGPT1) plays a significant role in tumorigenesis, prognosis, and chemoresistance across various cancers. This study demonstrated that ANGPT1 expression is heterogeneous among tumor types, with high expression linked to poor prognosis in multiple cancers and associated with immune infiltration, tumor mutation burden, and drug sensitivity.
Read the full summary ↓
In acute myeloid leukemia (AML), ANGPT1 was markedly upregulated in patients compared to healthy controls and further elevated in non-responders versus complete remission cases. Functional assays confirmed its role in promoting AML cell proliferation, highlighting ANGPT1 as a promising prognostic biomarker and therapeutic target in AML and other malignancies.
This dataset
Open GSE286446 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, 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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE286446_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1209377 and SRA study SRP556662. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
A cohort of 13 individual samples

The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Sample titles run AML_1 … AML_13 and carry no group information.

Samples in this study
Datasets on a similar topic

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.