Powerful microscopy technologies decode spatially organized cellular networks that drive response to immunotherapy in humans.

Jonathan H Chen, Liad Elmelech, Alexander L Tang, Nir Hacohen

Abstract readReview

In one paragraph

Review in Current opinion in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jonathan H ChenNorthwestern University, Feinberg School of Medicine, Department of Pathology, Chicago, IL, USA; Northwestern University, Feinberg School of Medicine, Center for Human Immunobiology, Chicago, IL, USA; Krantz Family Center for Cancer Research, Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA; Department of Pathology, MGH, Boston, MA, USA; Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: jonathan.chen@northwestern.edu.

Liad ElmelechKrantz Family Center for Cancer Research, Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA; Department of Pathology, MGH, Boston, MA, USA; Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.

Alexander L TangBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.

Nir HacohenKrantz Family Center for Cancer Research, Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA; Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: nhacohen@mgh.harvard.edu.

Funding

Delineating the mechanisms by which tumor immunity multicellular networks shape T cell stateK08CA273547 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CHEN, JONATHAN HOWARD · 2023 to 2025

$680k

NCI NIH HHS K08 CA273547

6 · The paper itself

Abstract

In tumors, immune cells organize into networks of different sizes and composition, including complex tertiary lymphoid structures and recently identified networks centered around the chemokines CXCL9/10/11 and CCL19. New commercially available highly multiplexed microscopy using cyclical RNA in situ hybridization and antibody-based approaches have the potential to establish the organization of the immune response in human tissue and serve as a foundation for future immunology research.

Indexed as

ImmunotherapyMicroscopyAnimalsHumansNeoplasms

Identifiers

PMID39277910

DOI10.1016/j.coi.2024.102463

PMCPMC11609032

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