# Time, the final frontier

## TL;DR

The paper argues for studying cancer's dynamic changes over time to better understand tumor evolution and improve treatments.

## Contribution

The paper introduces a call for integrating temporal dynamics into cancer research through advanced techniques like live imaging and temporal omics.

## Key findings

- Static snapshots of tumors obscure the dynamic interactions between cancer cells and their environment.
- Adopting continuous approaches can reveal new patterns in cancer progression and metastasis.

## Abstract

Cancer's notorious heterogeneity poses significant challenges, as each tumor comprises a unique ecosystem. While single‐cell and spatial transcriptomics advancements have transformed our understanding of spatial diversity within tumors, the temporal dimension remains underexplored. Tumors are dynamic entities that continuously evolve and adapt, and relying solely on static snapshots obscures the intricate interplay between cancer cells and their microenvironment. Here, we advocate for integrating temporal dynamics into cancer research, emphasizing a fundamental shift from traditional endpoint experiments to data‐driven, continuous approaches. This integration involves, for instance, the development of advanced live imaging techniques, innovative temporal omics methodologies, and novel computational tools.

This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time. These continuous approaches could reveal hidden patterns in cancer progression and metastasis, paving the way for more effective, personalized treatments.