Immunogenomic Diversity of Triple-Negative Breast Cancers in Obese and Non-obese Black and White Women
RNA-seq (gene expression) · human · 253 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
- Breast cancerThis series is part of our curated briefing on it.
- Samples
- 253 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.
- Paper
- Integrated miRNA-mRNA Analyses of Triple-Negative Breast Cancer in Black and White Patients with or Without ObesityInternational journal of molecular sciences · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE268851_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1119054 and SRA study SRP511178. Searching any of these in the dataset finder brings you back here.
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 TNBC_0010 … TNBC_1115 and carry no group information.
- GSM8301119 TNBC_0010
- GSM8301120 TNBC_0055
- GSM8301121 TNBC_0059
- GSM8301122 TNBC_0060
- GSM8301123 TNBC_0062
- GSM8301124 TNBC_0072
- GSM8301125 TNBC_0074
- GSM8301126 TNBC_0082
- GSM8301127 TNBC_0083
- GSM8301128 TNBC_0093
- GSM8301129 TNBC_0094
- GSM8301130 TNBC_0096
- GSM8301131 TNBC_0097
- GSM8301132 TNBC_0098
- GSM8301133 TNBC_0126
- GSM8301134 TNBC_0133
- GSM8301135 TNBC_0134
- GSM8301136 TNBC_0147
- GSM8301137 TNBC_0150
- GSM8301138 TNBC_0151
- GSM8301139 TNBC_0160
- GSM8301140 TNBC_0161
- GSM8301141 TNBC_0163
- GSM8301142 TNBC_0164
- GSM8301143 TNBC_0171
- GSM8301144 TNBC_0173
- GSM8301145 TNBC_0175
- GSM8301146 TNBC_0177
- GSM8301147 TNBC_0180
- GSM8301148 TNBC_0181
- GSM8301149 TNBC_0182
- GSM8301150 TNBC_0184
- GSM8301151 TNBC_0186
- GSM8301152 TNBC_0187
- GSM8301153 TNBC_0188
- GSM8301154 TNBC_0189
- GSM8301155 TNBC_0205
- GSM8301156 TNBC_0207
- GSM8301157 TNBC_0208
- GSM8301158 TNBC_0209
+ 213 more — browse all 253 samples with per-sample file links →
- GSE104193 Hypoxia-mediated translational activation of ITGB3 in breast cancer cells enhances TGF-β signalling and malignant features in vitro and in vivo 32 samples same disease briefing · shares breast
- GSE104675 Role for the Transcriptional Activator ZRF1 in Breast Cancer Progression and Endocrine Resistance 6 samples same disease briefing · shares breast
- GSE10886 A Supervised Risk Predictor of Breast Cancer Based on Biological Subtypes 226 samples same disease briefing · shares breast
- GSE11121 The humoral immune system has a key prognostic impact in node-negative breast cancer 200 samples same disease briefing · shares breast
- GSE10885 An integromic analysis reveals that metaplastic carcinomas are distinct from basal-like tumors. 244 samples same disease briefing
- GSE277029 A TRIM37 risk variant rs57141087 contributes to triple-negative breast cancer onset and progression in Black women. 28 samples shares triple-negative, breast, black
- GSE334033 A Patient-Derived Xenograft Model Identifies AK1 as a Key Regulator of Metastatic Potential in Primary Triple-Negative Breast Cancer 105 samples shares triple-negative, breast
- GSE217624 Mapping Individual Chemoresistome in Breast Cancer Patients Unravels Diversity in Dynamic Transcriptional Adaptation 84 samples shares diversity, breast
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.