Evidence map›Paper›PMID 42856358›Full record

ArticlebioRxiv : the preprint server for biology2026

PWK genetic background reprograms heterochromatin and malignant epithelial states in Neu-driven mammary tumors.

Rui Geng, Ryann R Ray, Jennifer B Jacob, Benjamin L Kidder

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.

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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

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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.

Rui GengDepartment of Oncology, Wayne State University School of Medicine, Detroit, MI, USA.
Ryann R RayDepartments of Biochemistry and Molecular Biology & Pharmacology and Toxicology, Michigan State University, East Lansing, MI 48824.
Jennifer B JacobDepartments of Biochemistry and Molecular Biology & Pharmacology and Toxicology, Michigan State University, East Lansing, MI 48824.
Benjamin L KidderDepartment of Oncology, Wayne State University School of Medicine, Detroit, MI, USA.ORCID 0000-0002-2039-7143

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI Julie Lynn Boerner · 1985 to 2026
$68.4M
Defining Cancer Intervention Targets by Functional Genomics Analysis of Outbred F1 MiceR01CA278818 · NCI · WAYNE STATE UNIVERSITY · PI JENNIFER B JACOB, Benjamin L Kidder · 2024 to 2026
$1.7M
NCI NIH HHS P30 CA022453NCI NIH HHS R01 CA278818
6 · The paper itself

Abstract

Genetic background can alter the latency and behavior of cancers initiated by the same oncogenic driver, but how inherited variation reshapes the regulatory landscape that permits tumor development remains poorly understood. The PWK genetic background accelerates mammary tumor onset in the NeuT model. We compared PWK NeuT and BALB NeuT tumors using tumor-level RNA-seq, histone ChIP-seq, and single-cell multiome profiling. PWK tumors exhibited broad transcriptional reprogramming characterized by reduced immune-associated expression and increased epithelial differentiation and neuronal-like programs. Chromatin remodeling was spatially redistributed rather than uniformly increased or decreased. PWK tumors showed expansion of H3K9me3- and H4K20me3-associated chromatin, while both marks were depleted across many expressed genes and concentrated within selected intergenic and repeat-rich territories, revealing coordinated redistribution of constitutive heterochromatin. Single-cell multiome profiling showed that broad epithelial representation remained similar between strains, yet specific malignant states were strongly strain biased. Integrated RNA and accessibility analyses identified concordant strain-selective regulatory programs and candidate loci, while trajectory analysis revealed distinct epithelial state transitions between PWK NeuT and BALB NeuT tumors. Together, these findings indicate that inherited genetic background reshapes transcriptional programs, heterochromatin organization, and malignant epithelial state trajectories in NeuT mammary tumors, providing a regulatory framework for understanding strain-dependent differences in tumor onset.

Indexed as

breast cancerepithelial cell statesgenetic backgroundheterochromatinmurine HER2single-cell multiometransposable elementstumor latencytype I interferon

Identifiers

PMID42856358
PMCPMC13648694

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Registered trials

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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.