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Genomic Characterization of Papillary Thyroid Carcinoma: Age Differences in Tumor Aggressiveness and Immune Infiltration

GSE275666 Homo sapiens (human) RNA-seq (gene expression) 22 samples Submitted 2024/08/31 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 22 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
22 samples: 20 distinct titles, 2 of them repeatedGroups 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
Genomic Characterization of Papillary Thyroid Carcinoma: Age Differences in Tumor Aggressiveness and Immune InfiltrationDiagnostics (Basel, Switzerland) · 2025
Summary (written by the submitters)
Adolescents and Young Adults (AYA) with papillary thyroid carcinoma (PTC) tend to exhibit more aggressive metastatic features compared to Adults (AD), despite low overall tumor proliferation. This study statistically analyzed clinical data from 501 PTC patients in The Cancer Genome Atlas (TCGA), categorized as Adolescents and Young Adults (AYA) and Adults (AD), to uncover differential clinical features between the two age groups.An independent cohort of 13 patients (7 AYA, 6 AD) was used to screen for differentially expressed genes (DEGs) through RNA sequencing.
Read the full summary ↓
Functional enrichment and topology analyses identified core molecules associated with the heightened aggressiveness of age-related tumors, which were subsequently validated using immunohistochemistry (IHC). Among the 239 core DEGs identified between AYA and AD PTC, key genes such as CXCR4, OPCML, and S100A2 were upregulated in AYA, while ATP1A3, CHL1, HLA-DRA, and IL-1 Beta were downregulated. These genes play a crucial role in tumor invasion and are linked to immune cell infiltration. These findings suggest that integrating age-specific molecular markers into clinical management could enhance diagnostic accuracy and enable personalized treatment strategies for AYA patients, with further research needed to validate these results in larger cohorts and explore their therapeutic potential.
Published in
Genomic Characterization of Papillary Thyroid Carcinoma: Age Differences in Tumor Aggressiveness and Immune Infiltration
Ao W, Chen S, Liu T et al. · Diagnostics (Basel, Switzerland) 2025 · PMID 41374320 · doi:10.3390/diagnostics15232937
This dataset
Open GSE275666 in finder → Find more human RNA-seq datasets → Thyroid cancer landscape →
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 GSE275666_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 PRJNA1152552 and SRA study SRP528667. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41374320) ↗
Study design
20 distinct titles, 2 of them repeated
Adults, 43-year-old female, AD ×2 Adults, 43-year-old female, ND ×2

How we read this: Read from 22 sample titles: 20 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.

Samples in this study
More Thyroid cancer datasets

Search all human RNA-seq datasets in GEO →

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