Refining Colorectal Cancer Classification and Clinical Stratification Through a Single-Cell Atlas
Download from source ↗Dataset overview
Refining colorectal cancer classification and clinical stratification through a single-cell atlas.
Abstract
<h4>Background</h4>Colorectal cancer (CRC) consensus molecular subtypes (CMS) have different immunological, stromal cell, and clinicopathological characteristics. Single-cell characterization of CMS subtype tumor microenvironments is required to elucidate mechanisms of tumor and stroma cell contributions to pathogenesis which may advance subtype-specific therapeutic development. We interrogate racially diverse human CRC samples and analyze multiple independent external cohorts for a total of 487,829 single cells enabling high-resolution depiction of the cellular diversity and heterogeneity within the tumor and microenvironmental cells.<h4>Results</h4>Tumor cells recapitulate individual CMS subgroups yet exhibit significant intratumoral CMS heterogeneity. Both CMS1 microsatellite instability (MSI-H) CRCs and microsatellite stable (MSS) CRC demonstrate similar pathway activations at the tumor epithelial level. However, CD8+ cytotoxic T cell phenotype infiltration in MSI-H CRCs may explain why these tumors respond to immune checkpoint inhibitors. Cellular transcriptomic profiles in CRC exist in a tumor immune stromal continuum in contrast to discrete subtypes proposed by studies utilizing bulk transcriptomics. We note a dichotomy in tumor microenvironments across CMS subgroups exists by which patients with high cancer-associated fibroblasts (CAFs) and C1Q+TAM content exhibit poor outcomes, providing a higher level of personalization and precision than would distinct subtypes. Additionally, we discover CAF subtypes known to be associated with immunotherapy resistance.<h4>Conclusions</h4>Distinct CAFs and C1Q+ TAMs are sufficient to explain CMS predictive ability and a simpler signature based on these cellular phenotypes could stratify CRC patient prognosis with greater precision. Therapeutically targeting specific CAF subtypes and C1Q + TAMs may promote immunotherapy responses in CRC patients.
doi:10.1186/s13059-022-02677-z ↗ PMID 35538548 ↗ PMC9092724 ↗
Study facts
- Organism
- Homo sapiens
- Platform
- 10X Genomics Single Cell 5' Platform
- Age group
- —
- Disease groups
- —
- Anatomical sites
- colon
Data availability
- Raw counts
File types
CSV
Files and samples
- Colorectal cancer23
| Accession | Sample | Tissue | Molecule |
|---|---|---|---|
GSM6048346 |
Patient 1, Tumor, Right Side colon cancer | Colorectal cancer | total RNA |
GSM6048347 |
Patient 2, Tumor, Left Side colon cancer | Colorectal cancer | total RNA |
GSM6048348 |
Patient 3, Tumor, Right Side colon cancer | Colorectal cancer | total RNA |
GSM6048349 |
Patient 4, Tumor, Left Side colon cancer | Colorectal cancer | total RNA |
GSM6048350 |
Patient 5, Tumor, Right Side colon cancer | Colorectal cancer | total RNA |
GSM6048351 |
Patient 6, Tumor, Left Side colon cancer | Colorectal cancer | total RNA |
GSM6048352 |
Patient 7, Tumor, Right Side colon cancer | Colorectal cancer | total RNA |
GSM6048353 |
Patient 8, Tumor, Right Side colon cancer | Colorectal cancer | total RNA |
GSM6048354 |
Patient 9, Tumor, Left Side colon cancer | Colorectal cancer | total RNA |
GSM6048355 |
Patient 10, Tumor, Left Side colon cancer | Colorectal cancer | total RNA |
GSM6048356 |
Patient 11, Tumor, Right Side colon cancer | Colorectal cancer | total RNA |
GSM6048357 |
Patient 12, Tumor, Right Side colon cancer | Colorectal cancer | total RNA |
GSM6048358 |
Patient 13, Tumor, Right Side colon cancer | Colorectal cancer | total RNA |
GSM6048359 |
Patient 14, Tumor, Left Side colon cancer | Colorectal cancer | total RNA |
GSM6048360 |
Patient 15, Tumor, Left Side colon cancer | Colorectal cancer | total RNA |
GSM6048361 |
Patient 16, Tumor, Left Side colon cancer | Colorectal cancer | total RNA |
GSM6048362 |
Patient 4, Normal, Left Side colon cancer | Colorectal cancer | total RNA |
GSM6048363 |
Patient 6, Normal, Left Side colon cancer | Colorectal cancer | total RNA |
GSM6048364 |
Patient 7, Normal, Right Side colon cancer | Colorectal cancer | total RNA |
GSM6048365 |
Patient 10, Normal, Left Side colon cancer | Colorectal cancer | total RNA |
GSM6048366 |
Patient 11, Normal, Right Side colon cancer | Colorectal cancer | total RNA |
GSM6048367 |
Patient 14, Normal, Left Side colon cancer | Colorectal cancer | total RNA |
GSM6048368 |
Patient 15, Normal, Left Side colon cancer | Colorectal cancer | total RNA |
Strengths & limitations for reuse
Strengths
- Raw counts are advertised
- Cell metadata are advertised
- Participant mapping is available
- Participant counts are documented
Limitations
- Not documented: processed matrices are advertised
Extraction evidence & provenance
Each extracted field is shown with the source excerpt and location used to resolve it.
Assay
| Field | Value | Evidence |
|---|---|---|
assay.assay_type |
single-cell RNA sequencing |
Single-cell RNA sequencing (scRNA-seq) was performed Section |
assay.library_chemistry |
10X Genomics Single Cell 5' |
10X Genomics Single Cell 5' Platform protocol Section |
assay.platform |
10X Genomics Single Cell 5' Platform |
using 10X Genomics Single Cell 5' Platform Section |
assay.reference_genome |
GRCh38/hg38 |
Assembly: GRCh38/hg38 Section |
assay.sequencing_type |
scrna_seq |
Single-cell RNA sequencing (scRNA-seq) was performed using 10X Genomics Single Cell 5' Platform. Section |
Cohort
| Field | Value | Evidence |
|---|---|---|
cohort.total_participants |
16 |
droplet-based scRNA-seq on 16 racially diverse, treatment naïve CRC patient tissue samples Section |
cohort.treatment_exposure_documented |
True |
Patients with resectable untreated CRC Section |
Data_Assets
| Field | Value | Evidence |
|---|---|---|
data_assets.cell_metadata |
True |
GSE200997_GEO_processed_CRC_10X_cell_annotation.csv.gz Section |
data_assets.open_access |
True |
Public on Apr 19 2022 Section |
data_assets.raw_counts |
True |
GSE200997_GEO_processed_CRC_10X_raw_UMI_count_matrix.csv.gz Section |
data_assets.raw_reads |
False |
we have privacy issues with raw data can we submit only count file and annotation files to the GEO database Section |
Processing
| Field | Value | Evidence |
|---|---|---|
processing.doublet_detection_reported |
True |
Doublet detection and any higher-order multiplets that were not dissociated during sample preparation were removed via the DoubletFinder (v2.0.2) package Section |
processing.quality_control_reported |
True |
Genes detected in fewer than three cells and cells expressing less than 200 detected genes were filtered out and excluded from analysis. Section |
Specimens
| Field | Value | Evidence |
|---|---|---|
specimens.anatomical_sites |
['colon'] |
curative colon resection Section |
specimens.number_of_cells |
49589 |
yielded 49,589 single cells Section |
specimens.number_of_samples |
23 |
totaling 23 samples Section |
specimens.participant_to_sample_mapping_available |
True |
Patient 1, Tumor, Right Side colon cancer Section |
specimens.specimen_type |
resection |
underwent curative colon resection Section |