Evidence map›Paper›PMID 41847174›Full record

ArticleEvolution, medicine, and public health2026

Life history enlightened therapies: cell cycle mapping to identify molecular targets to prevent hepatocellular carcinoma.

Anuraag Bukkuri, Janet McLaughlin, Andrew W Duncan, Wayne Stallaert

Abstract read
In one paragraph

Article in Evolution, medicine, and public health, 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

4 authors.

Anuraag BukkuriDepartment of Computational and Systems Biology, Hillman Cancer Center, Center for Evolutionary Biology and Medicine, University of Pittsburgh, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0002-3616-626X
Janet McLaughlinDepartment of Computational and Systems Biology, Hillman Cancer Center, Center for Evolutionary Biology and Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Andrew W DuncanDepartment of Pathology, McGowan Institute for Regenerative Medicine, Pittsburgh Liver Research Center, University of Pittsburgh  School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Wayne StallaertDepartment of Computational and Systems Biology, Hillman Cancer Center, Center for Evolutionary Biology and Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

Mechanisms of Polyploidy and Aneuploidy in the LiverR01DK103645 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN, ANDREW W · 2014 to 2023
$4.1M
NIDDK NIH HHS R01 DK103645
6 · The paper itself

Abstract

Background and objectives: Life history enlightened therapies (LHETs) were originally developed in cancer to combat therapeutic resistance by targeting pathological cell state transitions that enable evolutionary rescue and adaptation to therapy. In this paper, we expand the scope of LHETs to cancer prevention, namely, metabolic dysfunction-associated steatohepatitis (MASH)-induced hepatocellular carcinoma (HCC) initiation. We focus on endocycling, a process wherein cells undergo whole-genome duplication via mitotic skipping, as a keystone life history transition that promotes HCC initiation. Methodology: A key obstacle to LHET translation is the lack of systematic methods that capture cellular life histories and their molecular drivers. To address this gap, we introduce cell cycle mapping, a technique that integrates Results: Mathematical modeling demonstrated how endocycling can create an environment that promotes HCC initiation and revealed the potential for endocycle-targeting therapies to prevent HCC. Using cell cycle mapping on human MASH liver tissues, we identified the molecular factors that drive pathological endocycling (Wee1, CDK2, and RAIDD), providing new therapeutic targets for pre-clinical investigation. Conclusions and implications: This application illustrates how cell cycle mapping can uncover key proteins that drive disease-associated cell state transitions and broaden the scope of LHETs from therapy resistance to cancer prevention. More broadly, our study establishes a generalizable pipeline for inferring the life history of cells in diseased tissues and potential interventions for disease management.

Indexed as

cell cycle mappingcell state transitionsendocyclinghepatocellular carcinomalife history enlightened therapiesmultiplexed immunofluorescence

Identifiers

PMID41847174
PMCPMC12989716

What OpenQuestion holds

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LicenceCC BY
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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.