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High expression of the structural maintenance of chromosomes 5/6 complex is associated with the positive prognosis and doxorubicin susceptibility of colon cancer

GSE269296 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/06/30 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 12 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)
Topic
Colorectal cancerThis series is part of our curated briefing on it.
Samples
12 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)
Despite the exponential growth in colon cancer publications, our understanding of the tumorigenesis and progression problem is still limited. This study manifested the structural maintenance of chromosomes 5/6 complex (SMC5/6 complex) may serve as a prospective and novel biomarker for molecular diagnosis and therapeutics in patients with colon cancer.
Read the full summary ↓
Dyregulation of SMC5/6 components is revealed to be dramatically correlated with the poor prognosis. Besides, ectopic expression of SMC5/6 components obviously impaired proliferation and migration capacity of colon cancer cells in vitro, and leaded to a restraint of the xenografted tumor growth in vivo. Moreover, overexpressed SMC5/6 components helped to enhance the doxorubicin (DOX) susceptibility of colon cancer cells by promoting apoptosis. The purpose of this article is to explore the clinical significance and molecular mechanism of SMC5/6 complex in colon cancer.
This dataset
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.

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 GSE269296_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1120918 and SRA study SRP512311. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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