Development and validation of a microbiota signature to predict prognosis in nasopharyngeal carcinoma
RNA-seq (gene expression) · human · 64 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
- Nasopharyngeal carcinomaThis series is part of our curated briefing on it.
- Samples
- 64 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
- Tissue-resident microbiota signature in nasopharyngeal carcinomaMicrobiome · 2025
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 GSE231572_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 PRJNA966964 and SRA study SRP435778. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 64 more — browse all 64 samples with per-sample file links →
- GSE150430 Single-cell transcriptomics reveals regulators underlying immune cell diversity and immune subtypes associated with prognosis in nasopharyngeal carcinoma 16 samples same disease briefing · shares nasopharyngeal, prognosis
- GSE320342 Culturomics reveals Fusobacterium-Prevotella mutualism as a hallmark of nasopharyngeal tumor microbiota [Tissue RNA-seq] 35 samples same disease briefing · shares nasopharyngeal, microbiota
- GSE320343 Culturomics reveals Fusobacterium-Prevotella mutualism as a hallmark of nasopharyngeal tumor microbiota [Cell RNA-seq] 12 samples same disease briefing · shares nasopharyngeal, microbiota
- GSE271486 Construction of a Transferable NGS Algorithmic Model for Predicting EBV-Associated Nasopharyngeal Cancer and High-risk Mutation 6 samples same disease briefing · shares nasopharyngeal, predict
- GSE289272 Interferon responsive high endothelial venules drive tumor tertiary lymphoid structure formation and predict response to anti-PD-1 immunotherapy in nasopharyngeal carcinoma 55 samples same disease briefing · shares nasopharyngeal, predict
- GSE102349 Genomic Analysis of Nasopharyngeal Carcinoma Reveals TME-based Subtypes 113 samples same disease briefing · shares nasopharyngeal
- GSE120926 Single-cell RNA sequencing defines the interplay between tumor cells, virus and microenvironment in nasopharyngeal carcinoma 56 samples same disease briefing · shares nasopharyngeal
- GSE263382 Exogenous and endogenous serine modulate polarization of tumor-associated macrophages to influence development of nasopharyngeal carcinoma 6 samples same disease briefing · shares nasopharyngeal
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.