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A single-cell atlas refines colorectal cancer subtypes

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Across ~487,829 cells from diverse CRC samples and cohorts, tumors show CMS-related programs plus immune/stromal continua; high CAF and C1Q+ TAM content track poorer outcomes and may simplify prognosis beyond bulk CMS alone.

Source

Refining colorectal cancer classification and clinical stratification through a single-cell atlas

Khaliq AM, Erdogan C, Kurt Z, et al. · Genome biology · 2022

doi.org/10.1186/s13059-022-02677-zRead the full paper ↗202 citationscc by

Study at a glance

Design
Other — Single-cell atlas of CRC tumor/microenvironment relative to CMS, with external cohorts
N
N=16 · 16 primary patients (plus adjacent normals); ~487,829 cells across pooled cohorts
Population
Racially diverse CRC patients and external single-cell CRC cohorts
Outcome
Cellular CMS heterogeneity and CAF/C1Q+ TAM contributions to prognosis

Structured fields used in claim comparison tables when every cited study has a complete layer.

What they did

Authors argue bulk CMS mixes tumor and stroma, so they profiled racially diverse human CRC samples and multiple external cohorts (~487,829 single cells) to map cellular diversity in tumor and microenvironment compartments relative to consensus molecular subtypes (CMS).

What they found

Tumor cells recapitulate CMS subgroups but with significant intratumoral CMS heterogeneity. MSI-H (CMS1) and MSS tumors can look similar in epithelial pathway activation, yet MSI-H tumors show CD8+ cytotoxic T-cell infiltration patterns that help explain checkpoint-inhibitor responses. CRC transcriptomes form a tumor–immune–stromal continuum rather than only discrete bulk subtypes. Patients with high cancer-associated fibroblasts (CAFs) and C1Q+ TAM content have poorer outcomes; some CAF subtypes associate with immunotherapy resistance. Authors conclude CAF/C1Q+TAM signatures can explain much of CMS’s prognostic signal and may be therapeutically relevant.

The limits

What it doesn't show

Does not prove that depleting CAFs or C1Q+ TAMs improves immunotherapy in a randomized trial. Continuum language means bulk CMS labels are still useful but incomplete — not that subtypes are meaningless. Cohort composition and correction notes in the literature should be checked before treating every numeric detail as final.

Key terms

CMS
Consensus molecular subtypes of colorectal cancer from bulk transcriptomics.
MSI-H / MSS
Microsatellite instability–high vs microsatellite-stable tumor classes.
CAF
Cancer-associated fibroblast — stromal state linked to outcomes here.
C1Q+ TAM
C1Q-positive tumor-associated macrophage state associated with poorer outcomes in this atlas.
Tumor–immune–stromal continuum
Single-cell view that CRC profiles grade across compartments rather than only discrete bulk boxes.

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Why isn’t bulk CMS enough for stroma questions?

Common questions

About how many cells entered the analyses?

About 487,829 single cells across cohorts.

Do tumor cells match CMS cleanly?

They recapitulate CMS subgroups but show significant intratumoral CMS heterogeneity.

What may help explain MSI-H checkpoint responses?

CD8+ cytotoxic T-cell phenotype infiltration in MSI-H CRCs.

Which stromal states tracked poorer outcomes?

High CAF and C1Q+ TAM content.

What simpler signature do authors propose?

One based on distinct CAFs and C1Q+ TAMs that could stratify prognosis with greater precision than CMS alone.

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