Evidence map›Paper›PMID 38552005›Full record

ArticleCancer discovery2024

Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer.

Magdalena Matusiak, John W Hickey, David G P van IJzendoorn, Guolan Lu, Lukasz Kidziński, Shirley Zhu, Deana R C Colburg, Bogdan Luca, Darci J Phillips, Sky W Brubaker and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed
27.4field-weighted citation impact, top 1% of its field
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

129 citing papers in PubMed, 114 citations in OpenAlex.

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  11. Macrophage Plasticity in Cancer Therapy: Function, Timing, and Tradeoffs.International journal of molecular sciences · 2026
    Review
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69 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

18 authors at 3 institutions in 1 country.

Magdalena MatusiakDepartment of Pathology, Stanford University, Stanford, California.ORCID 0000-0002-8201-1621
John W HickeyDepartment of Pathology, Stanford University, Stanford, California.ORCID 0000-0001-9961-7673
David G P van IJzendoornDepartment of Pathology, Stanford University, Stanford, California.ORCID 0000-0002-2249-5919
Guolan LuDepartment of Pathology, Stanford University, Stanford, California.ORCID 0000-0002-5023-3465
Lukasz KidzińskiDepartment of Bioengineering, Stanford University, Stanford, California.ORCID 0000-0002-0986-3078
Shirley ZhuDepartment of Pathology, Stanford University, Stanford, California.ORCID 0009-0005-8492-7915
Deana R C ColburgDepartment of Pathology, Stanford University, Stanford, California.ORCID 0000-0002-8287-9455
Bogdan LucaDepartment of Medicine, Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California.ORCID 0000-0003-1977-6311
Darci J PhillipsDepartment of Pathology, Stanford University, Stanford, California.ORCID 0000-0002-0804-3342
Sky W BrubakerDepartment of Microbiology and Immunology, Stanford University, Stanford, California.ORCID 0000-0003-1488-6079
Gregory W CharvilleDepartment of Pathology, Stanford University, Stanford, California.ORCID 0000-0002-2774-2704
Jeanne ShenDepartment of Pathology, Stanford University, Stanford, California.ORCID 0000-0002-1519-0308
Kyle M LohDepartment of Developmental Biology, Stanford University, Stanford, California.ORCID 0000-0002-8042-0149
Derick K Okwan-DuoduDepartment of Pathology, Stanford University, Stanford, California.ORCID 0000-0003-1479-5759
Garry P NolanDepartment of Pathology, Stanford University, Stanford, California.ORCID 0000-0002-8862-9043
Aaron M NewmanDepartment of Biomedical Data Science, Stanford University, Stanford, California.ORCID 0000-0002-1857-8172
Robert B WestDepartment of Pathology, Stanford University, Stanford, California.ORCID 0000-0002-8330-8283
Matt van de RijnDepartment of Pathology, Stanford University, Stanford, California.ORCID 0000-0002-1909-9739
Stanford University · USCalifornia Institute for Regenerative Medicine · USCedars-Sinai Medical Center · US

Funding

Studying macrophage polarization in search for predictive and prognostic markers of breast cancerR01CA229529 · NCI · STANFORD UNIVERSITY · PI Robert michael Angelo, Magdalena Matusiak · 2018 to 2026
$3.9M
Cancer-Translational Nanotechnology Training Program (Cancer-TNT)T32CA196585 · NCI · STANFORD UNIVERSITY · PI FELSHER, DEAN W, RAO, JIANGHONG · 2015 to 2019
$1.8M
Integrating Spatial Omics and Drug Imaging to Dissect the Role of Pancreatic Tumor Microenvironment in Drug ResistanceK99CA267171 · NCI · STANFORD UNIVERSITY · PI LU, GUOLAN · 2022 to 2023
$295k
National Cancer Institute (NCI) R01CA229529NCI NIH HHS K99 CA267171NCI NIH HHS R01 CA229529NCI NIH HHS T32 CA196585
6 · The paper itself

Abstract

Tumor-associated macrophages are transcriptionally heterogeneous, but the spatial distribution and cell interactions that shape macrophage tissue roles remain poorly characterized. Here, we spatially resolve five distinct human macrophage populations in normal and malignant human breast and colon tissue and reveal their cellular associations. This spatial map reveals that distinct macrophage populations reside in spatially segregated micro-environmental niches with conserved cellular compositions that are repeated across healthy and diseased tissue. We show that IL4I1+ macrophages phagocytose dying cells in areas with high cell turnover and predict good outcome in colon cancer. In contrast, SPP1+ macrophages are enriched in hypoxic and necrotic tumor regions and portend worse outcome in colon cancer. A subset of FOLR2+ macrophages is embedded in plasma cell niches. NLRP3+ macrophages co-localize with neutrophils and activate an inflammasome in tumors. Our findings indicate that a limited number of unique human macrophage niches function as fundamental building blocks in tissue. Significance: This work broadens our understanding of the distinct roles different macrophage populations may exert on cancer growth and reveals potential predictive markers and macrophage population-specific therapy targets.

Indexed as

Colonic NeoplasmsMacrophagesFemaleHumansPrognosisTumor-Associated MacrophagesTumor Microenvironment

Identifiers

PMID38552005
PMCPMC11294822
OpenAlexW4393305607

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.