Neoadjuvant sintilimab plus chemotherapy in early-stage EGFR-mutant NSCLC: phase 2 trial interim results (NEOTIDE/CTONG2104)
Single-cell RNA-seq · human · 88 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Topic
- Lung cancerThis series is part of our curated briefing on it.
- Samples
- 88 samples: 45 × scRNA-seq_P vs 43 × scTCR-seq_PGroups 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
- Neoadjuvant sintilimab plus chemotherapy in EGFR-mutant NSCLC: Phase 2 trial interim results (NEOTIDE/CTONG2104)Cell reports. Medicine · 2024
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 GSE241934_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1010782. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 88 samples.
How we read this: 2 replicated groups read from 88 sample titles; they account for 88 of them. 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.
- GSM7745818 scRNA-seq_P343 scRNA-seq_P
- GSM7745819 scRNA-seq_P438 scRNA-seq_P
- GSM7745820 scRNA-seq_P519 scRNA-seq_P
- GSM7745821 scRNA-seq_P529 scRNA-seq_P
- GSM7745822 scRNA-seq_P531 scRNA-seq_P
- GSM7745823 scRNA-seq_P547 scRNA-seq_P
- GSM7745824 scRNA-seq_P549 scRNA-seq_P
- GSM7745825 scRNA-seq_P586 scRNA-seq_P
- GSM7745826 scRNA-seq_P589 scRNA-seq_P
- GSM7745827 scRNA-seq_P590 scRNA-seq_P
- GSM7745828 scRNA-seq_P591 scRNA-seq_P
- GSM7745829 scRNA-seq_P33 scRNA-seq_P
- GSM7745830 scRNA-seq_P52 scRNA-seq_P
- GSM7745831 scRNA-seq_P64 scRNA-seq_P
- GSM7745832 scRNA-seq_P70 scRNA-seq_P
- GSM7745833 scRNA-seq_P105 scRNA-seq_P
- GSM7745834 scRNA-seq_P122 scRNA-seq_P
- GSM7745835 scRNA-seq_P130 scRNA-seq_P
- GSM7745836 scRNA-seq_P172 scRNA-seq_P
- GSM7745837 scRNA-seq_P209 scRNA-seq_P
- GSM7745838 scRNA-seq_P218 scRNA-seq_P
- GSM7745839 scRNA-seq_P223 scRNA-seq_P
- GSM7745840 scRNA-seq_P266 scRNA-seq_P
- GSM7745841 scRNA-seq_P269 scRNA-seq_P
- GSM7745842 scRNA-seq_P270 scRNA-seq_P
- GSM7745843 scRNA-seq_P293 scRNA-seq_P
- GSM7745844 scRNA-seq_P345 scRNA-seq_P
- GSM7745845 scRNA-seq_P348 scRNA-seq_P
- GSM7745846 scRNA-seq_P390 scRNA-seq_P
- GSM7745847 scRNA-seq_P394 scRNA-seq_P
- GSM7745848 scRNA-seq_P399 scRNA-seq_P
- GSM7745849 scRNA-seq_P481 scRNA-seq_P
- GSM7745850 scRNA-seq_P483 scRNA-seq_P
- GSM7745851 scRNA-seq_P498 scRNA-seq_P
- GSM7745852 scRNA-seq_P509 scRNA-seq_P
- GSM7745853 scRNA-seq_P523 scRNA-seq_P
- GSM7745854 scRNA-seq_P528 scRNA-seq_P
- GSM7745855 scRNA-seq_P533 scRNA-seq_P
- GSM7745856 scRNA-seq_P551 scRNA-seq_P
- GSM7745857 scRNA-seq_P574 scRNA-seq_P
+ 48 more — browse all 88 samples with per-sample file links →
- GSE104244 Bone Marrow Derived Macrophages, NSCLC cell lines, and Kras G12D Lung Tumors Treated with Epigenetic Agents 33 samples same disease briefing · shares nsclc
- GSE117570 Reprogramming of Tumor-infiltrating Immune Cells in Early Stage of NSCLC 8 samples same disease briefing · shares nsclc
- GSE10072 Gene expression signature of cigarette smoking and its role in lung adenocarcinoma development and survival 107 samples same disease briefing
- GSE17958 Affymetrix SNP array data for 47 lung squamous cell carcinoma and 40 esophageal squamous cell carcinoma samples. 87 samples same disease briefing
- GSE114761 Transforming Growth Factor β-Induced Epithelial-to-Mesenchymal Signature Predicts Metastasis-Free Survival in Non-Small Cell Lung Cancer. 42 samples same disease briefing
- GSE127465 Single cell transcriptomics of human and mouse lung cancers reveals conserved myeloid populations across individuals and species 40 samples same disease briefing
- GSE103550 Lung Cancer Cell-Mediated Skeletal Muscle Mitochondrial Dysfunction is Mitigated by 1a,25-Dihydroxyvitamin D3 24 samples same disease briefing
- GSE27389 Substitutions in the KRas oncogene determine protein behavior: Implications for signaling and clinical outcome. 22 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.