Spatial Transcriptomic Landscape of Invasion Patterns in Human Papillomavirus-Associated Endocervical Adenocarcinoma
RNA-seq (gene expression) · human · 186 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
- Cervical cancerThis series is part of our curated briefing on it.
- Samples
- 186 samples: 186 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
- Spatial transcriptomic landscape of invasion patterns in human papillomavirus-associated endocervical adenocarcinomaScientific reports · 2026
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 GSE316098_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 PRJNA1400592 and SRA study SRP661074. 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 186 sample titles: 186 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.
- GSM9444453 1A.001.epi
- GSM9444454 1A.001.stroma
- GSM9444455 1A.002.epi
- GSM9444456 1A.002.stroma
- GSM9444457 1A.003.epi
- GSM9444458 1A.003.stroma
- GSM9444459 1A.004.epi
- GSM9444460 1A.004.stroma
- GSM9444461 1A.005.epi
- GSM9444462 1A.005.stroma
- GSM9444463 1A.006.epi
- GSM9444464 1A.006.stroma
- GSM9444465 1A.007.epi
- GSM9444466 1A.007.stroma
- GSM9444467 1A.008.epi
- GSM9444468 1A.008.stroma
- GSM9444469 1A.009.epi
- GSM9444470 1A.009.stroma
- GSM9444471 1A.010.epi
- GSM9444472 1A.010.stroma
- GSM9444473 1A.011.epi
- GSM9444474 1A.011.stroma
- GSM9444475 1A.012.epi
- GSM9444476 1A.012.stroma
- GSM9444477 1A.013.epi
- GSM9444478 1A.013.stroma
- GSM9444479 1A.014.epi
- GSM9444480 1A.014.stroma
- GSM9444481 1A.015.epi
- GSM9444482 1A.015.stroma
- GSM9444483 1A.016.epi
- GSM9444484 1A.016.stroma
- GSM9444485 1A.017.epi
- GSM9444486 1A.017.stroma
- GSM9444487 1A.018.epi
- GSM9444488 1A.018.stroma
- GSM9444489 1A.019.epi
- GSM9444490 1A.019.stroma
- GSM9444491 1A.020.epi
- GSM9444492 1A.020.stroma
+ 146 more — browse all 186 samples with per-sample file links →
- GSE311549 RNA sequencing for gastric-type endocervical adenocarcinoma (GAS), usual-type endocervical adenocarcinoma (UEA), and lobular endocervical glandular hyperplasia (LEGH) 18 samples same disease briefing · shares adenocarcinoma, endocervical
- GSE264492 Transcriptomic analysis reveals Streptococcus agalactiae activation of oncogenic pathways in cervical adenocarcinoma 24 samples same disease briefing · shares adenocarcinoma
- GSE318000 Lnc-GATS-3:3/MCM7 promotes the proliferation and invasion of cervical squamous cell carcinoma cells by regulating the CDK/Rb/E2F signaling pathway 8 samples same disease briefing · shares invasion
- GSE236397 TET1 inhibits the migration and invasion of cervical cancer cells by regulating autophagy 14 samples same disease briefing · shares invasion
- GSE270674 Deciphering the Divergent Transcriptomic Landscapes of Cervical Cancer Cells Grown in 3D and 2D Cell Culture Systems 8 samples same disease briefing
- GSE311189 Integrated Transcriptomic and Functional Analysis Reveals Selective Cytotoxicity and Oncogene Suppression Induced by Cinnamon Essential Oil in Cervical Cancer Cells 24 samples same disease briefing
- GSE303300 Neoadjuvant Immune Checkpoint Blockade Before Chemoradiation for Patients with FIGO Stage IB3–IVA Cervical Squamous Carcinoma: GINECO Window-Of-Opportunity COLIBRI Study 96 samples same disease briefing
- GSE168244 Patient-derived organoids as a platform to study cervical cancer and viral infection 36 samples same disease briefing
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.