Evidence map›Paper›PMID 41959335›Full record

ArticlebioRxiv : the preprint server for biology2026

Tumor-immune trajectory context connects static tissue architecture to clinical outcomes.

Eric M Cramer, Randy Heiland, Heber Lima da Rocha, Daniel R Bergman, Joe W Gray, Gordon B Mills, Elana J Fertig, Paul Macklin, Laura M Heiser, Young Hwan Chang

Abstract readPreprint
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

10 authors.

Eric M CramerMedical Scientist Training Program, Oregon Health & Science University School of Medicine, Portland, OR, USA.ORCID 0000-0003-2085-3679
Randy HeilandDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.ORCID 0000-0002-7440-2905
Heber Lima da RochaDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.ORCID 0000-0002-5876-2644
Daniel R BergmanInstitute for Genome Sciences and Greenebaum Comprehensive Cancer Center, School of Medicine, University of Maryland, Baltimore, MD, USA.ORCID 0000-0002-2166-6616
Joe W GrayDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0001-9225-6756
Gordon B MillsKnight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0002-0144-9614
Elana J FertigInstitute for Genome Sciences and Greenebaum Comprehensive Cancer Center, School of Medicine, University of Maryland, Baltimore, MD, USA.ORCID 0000-0003-3204-342X
Paul MacklinDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.ORCID 0000-0002-9925-0151
Laura M HeiserDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0003-3330-0950
Young Hwan ChangDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0001-8764-1959

Funding

Medical Scientist Training Program of Oregon Health & Science UniversityT32GM141938 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI CHEN, YABING · 2021 to 2025
$4.6M
Systematic Characterization and Targeting of Neomorphic Drivers in CancerU01CA281902 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Benjamin Deneen, Han Liang · 2023 to 2026
$3.5M
Informing mechanistic rules of agent-based models with single-cell multi-omicsU24CA284156 · NCI · TRUSTEES OF INDIANA UNIVERSITY · PI Elana Fertig, Paul T Macklin · 2024 to 2026
$2.3M
Integrated Training in Quantitative and Experimental Cancer Systems BiologyT32CA254888 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Sudarshan Anand, LISA M COUSSENS · 2021 to 2026
$2.2M
High Performance Computing and Machine Learning Infrastructure for Oregon Life SciencesS10OD034224 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLROTT, KYLE · 2023 to 2023
$2.0M
NCI NIH HHS T32 CA254888NCI NIH HHS U01 CA281902NCI NIH HHS U24 CA284156NIGMS NIH HHS T32 GM141938NIH HHS S10 OD034224
6 · The paper itself

Abstract

Multiplexed tissue imaging (MTI) has revealed recurrent tumor microenvironment (TME) architectures with prognostic value, yet these measurements are inherently static, obscuring dynamic changes in the TME that govern therapeutic response. Here, we introduce a trajectory-centric framework that reconstructs continuous TME dynamics by integrating agent-based mathematical modeling and simulation with state space analysis. This approach yields a mechanistically constrained reference landscape built entirely from

Identifiers

PMID41959335
PMCPMC13060115

What OpenQuestion holds

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LicenceCC BY-NC
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.