Evidence map›Paper›PMID 35834277›Full record

ArticleCancer research2022

Mapping the Immune Landscape in Metastatic Melanoma Reveals Localized Cell-Cell Interactions That Predict Immunotherapy Response.

Asier Antoranz, Yannick Van Herck, Maddalena M Bolognesi, Seodhna M Lynch, Arman Rahman, William M Gallagher, Veerle Boecxstaens, Jean-Christophe Marine, Giorgio Cattoretti, Joost J van den Oord and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 59 citations in OpenAlex.

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  20. Spatial landscapes of cancers: insights and opportunities.Nature reviews. Clinical oncology · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 3 countries.

Asier Antoranz *Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Belgium, Leuven.ORCID 0000-0001-7284-610X
Yannick Van Herck *Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, Belgium, Leuven.
Maddalena M BolognesiPathology, Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.ORCID 0000-0002-8238-2369
Seodhna M LynchUCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Belfield, Dublin, Ireland.ORCID 0000-0002-5738-1129
Arman RahmanUCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Belfield, Dublin, Ireland.
William M GallagherUCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Belfield, Dublin, Ireland.ORCID 0000-0002-4307-5999
Veerle BoecxstaensDepartment of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium.
Jean-Christophe MarineLaboratory for Molecular Cancer Biology, VIB/KU Leuven Center for Cancer Biology, Leuven, Belgium.ORCID 0000-0003-2433-9837
Giorgio CattorettiPathology, Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.ORCID 0000-0003-3799-3221
Joost J van den OordTranslational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Belgium, Leuven.ORCID 0000-0001-6713-0465
Frederik De SmetTranslational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Belgium, Leuven.ORCID 0000-0002-6669-3335
Oliver Bechter *Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, Belgium, Leuven.ORCID 0000-0003-0667-3284
Francesca M Bosisio *Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Belgium, Leuven.ORCID 0000-0002-8874-2003
KU Leuven · BEUniversity College Dublin · IEUniversity of Milano-Bicocca · ITVIB-KU Leuven Center for Cancer Biology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While immune checkpoint-based immunotherapy (ICI) shows promising clinical results in patients with cancer, only a subset of patients responds favorably. Response to ICI is dictated by complex networks of cellular interactions between malignant and nonmalignant cells. Although insights into the mechanisms that modulate the pivotal antitumoral activity of cytotoxic T cells (Tcy) have recently been gained, much of what has been learned is based on single-cell analyses of dissociated tumor samples, resulting in a lack of critical information about the spatial distribution of relevant cell types. Here, we used multiplexed IHC to spatially characterize the immune landscape of metastatic melanoma from responders and nonresponders to ICI. Such high-dimensional pathology maps showed that Tcy gradually evolve toward an exhausted phenotype as they approach and infiltrate the tumor. Moreover, a key cellular interaction network functionally linked Tcy and PD-L1+ macrophages. Mapping the respective spatial distributions of these two cell populations predicted response to anti-PD-1 immunotherapy with high confidence. These results suggest that baseline measurements of the spatial context should be integrated in the design of predictive biomarkers to identify patients likely to benefit from ICI. SIGNIFICANCE: This study shows that spatial characterization can address the challenge of finding efficient biomarkers, revealing that localization of macrophages and T cells in melanoma predicts patient response to ICI. See related commentary by Smalley and Smalley, p. 3198.

Indexed as

MelanomaNeoplasms, Second PrimaryB7-H1 AntigenBiomarkersCell CommunicationHumansImmunologic FactorsImmunotherapyB7-H1 AntigenBiomarkersImmunologic Factors

Identifiers

PMID35834277
PMCPMC9478533
OpenAlexW4285387579

What OpenQuestion holds

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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.