Transcriptome Analysis Reveals Sex Disparities in Recurremt and Non-Recurrent Papillary Thyroid Cancer (PTC)
RNA-seq (gene expression) · human · 16 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
- Thyroid cancerThis series is part of our curated briefing on it.
- Samples
- 16 samples: 16 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- 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
- Improving predicted risk of recurrence using molecular profiling in papillary thyroid cancerScientific reports · 2026
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 GSE288945_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 PRJNA1220063 and SRA study SRP562087. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 16 sample titles: 16 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8779691 Female patient 1 non-recurrent tumor
- GSM8779692 Female patient 2 non-recurrent tumor
- GSM8779693 Female patient 3 non-recurrent tumor
- GSM8779694 Female patient 4 non-recurrent tumor
- GSM8779695 Female patient 5 non-recurrent tumor
- GSM8779696 Male patient 1 non-recurrent tumor
- GSM8779697 Male patient 2 non-recurrent tumor
- GSM8779698 Male patient 3 non-recurrent tumor
- GSM8779699 Female patient 1 recurrent tumor
- GSM8779700 Female patient 2 recurrent tumor
- GSM8779701 Female patient 3 recurrent tumor
- GSM8779702 Female patient 4 recurrent tumor
- GSM8779703 Female patient 5 recurrent tumor
- GSM8779704 Male patient 1 recurrent tumor
- GSM8779705 Male patient 2 recurrent tumor
- GSM8779706 Male patient 3 recurrent tumor
- GSE138198 Differentially expression profiling in Hashimoto's thyroiditis (HT), papillary thyroid carcinoma (PTC) with HT in background, PTC without HT in background, micro PTC (mPTC), and three normal thyroid samples (TN). 36 samples same disease briefing · shares ptc, papillary, thyroid
- GSE230424 Spatial transcriptome gene expression profile in 2 patients with Hashimoto's thyroiditis and 2 patients with papillary thyroid cancer combined with Hashimoto's thyroiditis. 4 samples same disease briefing · shares papillary, thyroid
- GSE281736 Single-cell RNA Sequencing Reveals the Heterogeneity in Differentiation Trajectory and Tumor Microenvironment Leading to More Aggressive Phenotypes of Papillary Thyroid Cancer in Children and Young Adult Patients 12 samples same disease briefing · shares papillary, thyroid
- GSE308716 Knockdown of TRIM35 supresses cell proliferation, metastasis, and glycolysis in papillary thyroid cancer cells 12 samples same disease briefing · shares papillary, thyroid
- GSE263800 SK4 potentially modulates the alternative splicing profile associated with papillary thyroid cancer development in BHT101 cells 6 samples same disease briefing · shares papillary, thyroid
- GSE265794 TGFBR3 inhibits the aggressive of papillary thyroid cancer by inhibiting PI3K/AKT pathway and EMT 6 samples same disease briefing · shares papillary, thyroid
- GSE274674 Single-cell RNA sequencing reveals a novel CD4+T cell subset in papillary thyroid cancer 4 samples same disease briefing · shares papillary, thyroid
- GSE165724 Transcriptome analysis discloses dysregulated genes in normal appearing tumor-adjacent thyroid tissues from patients with papillary thyroid carcinoma 74 samples same disease briefing · shares papillary, thyroid
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.