Evidence map›Paper›PMID 42239297›Full record

ArticlebioRxiv : the preprint server for biology2026

Multi-Scale Tri-Modal Histology Dataset Integrating Tumor Morphology, Immune Patterns, and Clinical Outcomes.

Kyeong Joo Jung, Jianwei Qiu, Sanghee Cho, Elizabeth McDonough, Chrystal Chadwick, Soumya Ghose, Robert West, James D Brooks, Fiona Ginty, Raghu Machiraju and 1 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

11 authors.

Kyeong Joo JungDepartment of Computer Science and Engineering, The Ohio State University, Columbus, Ohio, 43210, USA.ORCID 0000-0002-0582-1583
Jianwei QiuGE HealthCare Technology and Innovation Center, 1 Research Circle, Niskayuna, New York, 12309, USA.
Sanghee ChoGE HealthCare Technology and Innovation Center, 1 Research Circle, Niskayuna, New York, 12309, USA.
Elizabeth McDonoughGE HealthCare Technology and Innovation Center, 1 Research Circle, Niskayuna, New York, 12309, USA.
Chrystal ChadwickGE HealthCare Technology and Innovation Center, 1 Research Circle, Niskayuna, New York, 12309, USA.
Soumya GhoseGE HealthCare Technology and Innovation Center, 1 Research Circle, Niskayuna, New York, 12309, USA.
Robert WestDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
James D BrooksDepartment of Urology, Stanford University, Stanford, CA, 94305, USA.
Fiona GintyGE HealthCare Technology and Innovation Center, 1 Research Circle, Niskayuna, New York, 12309, USA.
Raghu MachirajuDepartment of Computer Science and Engineering, The Ohio State University, Columbus, Ohio, 43210, USA.
Parag MallickCanary Center for Cancer Early Detection, School of Medicine, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0002-0505-2032

Funding

Pathomic Predictors of Prostate Cancer ProgressionR01CA249899 · NCI · STANFORD UNIVERSITY · PI MALLICK, PARAG KUMAR · 2020 to 2024
$4.1M
NCI NIH HHS R01 CA249899
6 · The paper itself

Abstract

Accurate prognostic assessment of prostate cancer (PCa) requires an integrated understanding of tissue morphology-encompassing cell structure, glandular architecture, and tissue organization-and the immune environment. We present

Identifiers

PMID42239297
PMCPMC13228510

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.