Evidence map›Paper›PMID 40473992›Full record

ArticleNature genetics2025

High-definition spatial transcriptomic profiling of immune cell populations in colorectal cancer.

Michelli Faria de Oliveira, Juan Pablo Romero, Meii Chung, Stephen R Williams, Andrew D Gottscho, Anushka Gupta, Susan E Pilipauskas, Seayar Mohabbat, Nandhini Raman, David J Sukovich and 3 more

Abstract read
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 210 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
210citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

210 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Towards liquid biopsy-based analysis of antitumour immunity.Nature reviews. Clinical oncology · 2026
    Review
  7. Insights Into Spatial Transcriptomics: Exploring Recent Technical Developments and Their Diverse Applications.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Review
  8. Article
  9. Mapping Embryonic Mouse Lung Development Using Enhanced Spatial Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. SPP1Journal for immunotherapy of cancer · 2026
    Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article

150 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Michelli Faria de Oliveira *10x Genomics, Inc, Pleasanton, CA, USA.
Juan Pablo Romero *10x Genomics, Inc, Pleasanton, CA, USA.ORCID http://orcid.org/0000-0002-0441-4791
Meii Chung *10x Genomics, Inc, Pleasanton, CA, USA.
Stephen R Williams10x Genomics, Inc, Pleasanton, CA, USA.
Andrew D Gottscho10x Genomics, Inc, Pleasanton, CA, USA.ORCID http://orcid.org/0000-0002-0812-9365
Anushka Gupta10x Genomics, Inc, Pleasanton, CA, USA.ORCID http://orcid.org/0000-0002-1137-3043
Susan E Pilipauskas10x Genomics, Inc, Pleasanton, CA, USA.
Seayar Mohabbat10x Genomics, Inc, Pleasanton, CA, USA.
Nandhini Raman10x Genomics, Inc, Pleasanton, CA, USA.ORCID http://orcid.org/0000-0003-1657-4351
David J Sukovich10x Genomics, Inc, Pleasanton, CA, USA.
David M Patterson10x Genomics, Inc, Pleasanton, CA, USA.
Visium HD Development Team
Sarah E B Taylor10x Genomics, Inc, Pleasanton, CA, USA. sarah.taylor@10xgenomics.com.ORCID http://orcid.org/0000-0002-7035-5363

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A comprehensive understanding of cellular behavior and response to the tumor microenvironment (TME) in colorectal cancer (CRC) remains elusive. Here, we introduce the high-definition Visium spatial transcriptomic technology (Visium HD) and investigate formalin-fixed paraffin-embedded human CRC samples (n = 5). We demonstrate the high sensitivity, single-cell-scale resolution and spatial accuracy of Visium HD, generating a highly refined whole-transcriptome spatial profile of CRC samples. We identify transcriptomically distinct macrophage subpopulations in different spatial niches with potential pro-tumor and anti-tumor functions via interactions with tumor and T cells. In situ gene expression analysis validates our findings and localizes a clonally expanded T cell population close to macrophages with anti-tumor features. Our study demonstrates the power of high-resolution spatial technologies to understand cellular interactions in the TME and paves the way for larger studies that will unravel mechanisms and biomarkers of CRC biology, improving diagnosis and disease management strategies.

Indexed as

Colorectal NeoplasmsGene Expression ProfilingTranscriptomeBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansMacrophagesMaleSingle-Cell AnalysisT-LymphocytesTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID40473992
PMCPMC12165841

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.