Evidence map›Paper›PMID 38014052›Full record

ArticlebioRxiv : the preprint server for biology2025

Highly Multiplexed 3D Profiling of Cell States and Immune Niches in Human Tumours.

Clarence Yapp, Ajit J Nirmal, Felix Zhou, Alex Y H Wong, Juliann B Tefft, Yi Daniel Lu, Zhiguo Shang, Zoltan Maliga, Paula Montero Llopis, George F Murphy and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 14 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Clarence YappLaboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0003-1144-5710
Ajit J NirmalLaboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0003-4139-0618
Felix ZhouLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, 75390, USA.ORCID 0000-0003-4463-1165
Alex Y H WongLaboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0001-9315-4145
Juliann B TefftLaboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0002-8826-665X
Yi Daniel LuLaboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0009-0003-1740-161X
Zhiguo ShangLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, 75390, USA.ORCID 0000-0002-7600-7554
Zoltan MaligaLaboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0003-4209-7253
Paula Montero LlopisMicroscopy Resources on the North Quad (MicRoN), Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-5983-2296
George F MurphyDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0001-9362-5146
Christine G LianDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0003-4626-1612
Gaudenz DanuserLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, 75390, USA.ORCID 0000-0001-8583-2014
Sandro SantagataLaboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0002-7528-9668
Peter K SorgerLaboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0002-3364-1838
Harvard University · USBrigham and Women's Hospital · USSouthwestern Medical Center

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI A. Heather Eliassen · 1985 to 2026
$330.6M
Omic and Multidimensional Spatial Atlas of Metastatic Breast CancerU2CCA233280 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI GOECKS, JEREMY · 2018 to 2023
$9.7M
Technical Development Unit 2: Intelligent Hyperspectral Imaging of Subcellular Molecular States at the Whole Organ LevelU54CA268072 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI JAMES F AMATRUDA, Kevin Michael Dean · 2021 to 2026
$9.1M
Pre-cancer atlases of cutaneous and hematologic origin (PATCH Center)U2CCA233262 · NCI · HARVARD MEDICAL SCHOOL · PI SANTAGATA, SANDRO · 2018 to 2023
$8.7M
High dimensional digital pathology to investigate the tumor micro environment and its impact on response to therapyR50CA252138 · NCI · HARVARD MEDICAL SCHOOL · PI MALIGA, ZOLTAN · 2020 to 2024
$1.0M
Integrative Prediction of Therapeutic Response in T-cell Lymphoma by Omic and Spatial ModelingR00CA256497 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI NIRMAL, AJIT JOHNSON · 2023 to 2025
$747k
Gates Foundation INV-027106NCI NIH HHS P30 CA006516NCI NIH HHS R00 CA256497NCI NIH HHS R50 CA252138NCI NIH HHS U2C CA233262NCI NIH HHS U2C CA233280NCI NIH HHS U54 CA268072
6 · The paper itself

Abstract

Diseases like cancer involve alterations in in cell proportions, states, and local interactions as well as complex changes in 3D tissue architecture. However, disease diagnosis and most multiplexed spatial profiling studies rely on inspecting thin (4-5 micron) tissue specimens. Here, we use confocal microscopy and cyclic immunofluorescence (3D CyCIF) to show that few if any cells are intact in these thin sections; this reduces the accuracy of cell phenotyping and interaction analysis. In contrast, high-plex 3D CyCIF imaging of intact cells in thick tissue sections enables accurate quantification of marker proteins and detailed analysis of intracellular structures and organelles. Precise imaging of cell membranes also makes it possible to detect juxtacrine signalling among interacting tumour and immune cells and reveals the formation of spatially-restricted cytokine niches. Thus, 3D CyCIF provides insights into cell states and morphologies in preserved human tissues at a level of detail previously limited to cultured cells.

Identifiers

PMID38014052
PMCPMC10680601
OpenAlexW4388705654

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.