Evidence map›Paper›PMID 40494356›Full record

ArticleCell reports methods2025

Three-dimensional assessments are necessary to determine the true, spatially resolved composition of tissues.

André Forjaz, Eduarda Vaz, Valentina Matos Romero, Saurabh Joshi, Vasco Queiroga, Alicia M Braxton, Ann C Jiang, Kohei Fujikura, Toby Cornish, Seung-Mo Hong and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
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  3. Assessing the Effects of a 3-Dimensional (3D) Pathology Tissue-Processing Workflow on Downstream Molecular Analyses.Laboratory investigation; a journal of technical methods and pathology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

André ForjazDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Eduarda VazDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Valentina Matos RomeroDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Saurabh JoshiDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Vasco QueirogaDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Alicia M BraxtonDepartment of Comparative Medicine, Medical University of South Carolina, Charleston, SC, USA.
Ann C JiangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Kohei FujikuraDepartment of Medical Genetics, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada.
Toby CornishDepartment of Pathology, Data Science Institute, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Seung-Mo HongDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Ralph H HrubanDepartment of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Pei-Hsun WuDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA; The Johns Hopkins Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, USA.
Laura D WoodDepartment of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA; The Johns Hopkins Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, USA.
Ashley L KiemenDepartment of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA; The Johns Hopkins Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, USA; Department of Functional Anatomy & Evolution, Johns Hopkins School of Medicine, Baltimore, MD, USA. Electronic address: kiemen@jhmi.edu.
Denis WirtzDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA; The Johns Hopkins Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, USA. Electronic address: wirtz@jhu.edu.

Funding

Tech Core 2U54CA268083 · NCI · JOHNS HOPKINS UNIVERSITY · PI Denis Wirtz, Laura DeLong Wood · 2022 to 2026
$10.2M
Three-dimensional maps of senescence in the human pancreasUG3CA275681 · NCI · JOHNS HOPKINS UNIVERSITY · PI WU, PEI-HSUN · 2022 to 2023
$1.1M
NCI NIH HHS U54 CA268083NCI NIH HHS UG3 CA275681
6 · The paper itself

Abstract

Methods for spatially resolved cellular profiling of tissue sections enable in-depth study of inter- and intra-sample heterogeneity but often profile small regions, requiring evaluation of many samples to compensate for limited assessment. Recent advances in three-dimensional (3D) tissue mapping offer deeper insights; however, attempts to quantify the information gained in transitioning to 3D remains limited. Here, to compare inter- and intra-sample tissue heterogeneity, we analyze >100 pancreas samples as cores, whole-slide images (WSIs), and cm

Indexed as

Imaging, Three-DimensionalPancreasPancreatic NeoplasmsHumansTissue Array Analysis3D digital pathology3D modelingCP: imagingpancreatic cancerPDACtissue compositiontissue heterogeneitytissue samplingtumor heterogeneitytumor microenvironment

Identifiers

PMID40494356
PMCPMC12272251

What Socratic 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 Socratic graph.