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

## TL;DR

This paper introduces a new approach to prevent liver cancer by targeting cell cycle transitions linked to disease progression.

## Contribution

The study introduces cell cycle mapping to visualize and target life history transitions in cells, expanding LHETs to cancer prevention.

## Key findings

- Endocycling is identified as a key transition promoting liver cancer initiation.
- Cell cycle mapping reveals Wee1, CDK2, and RAIDD as drivers of pathological endocycling.
- Mathematical models suggest endocycle-targeting therapies can prevent liver cancer.

## Abstract

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.

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 in situ multiplexed immunofluorescence imaging with manifold learning to visualize the life history of proliferating cells and proteins involved in transitions to pathological cell states.

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.

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.