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October 1, 2025Open Access

A health-system-scale, episode-resolved multimodal atlas of cancer cachexia

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Authors

VCVenise Jan CastillonAXAmy XieSBSonia Boscenco

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Overview

Analysis defines cancer cachexia trajectories using clinicogenomic data, highlighting its link to outcomes and serology.

Key Points

  • Cachexia episodes linked to advanced disease and associated with worse outcomes across all cancer types.
  • Low albumin and hemoglobin, along with high liver enzymes, characterize the serologic signature of cachexia.
  • TP53 mutations were associated with increased cachexia risk, suggesting genetic influence on the syndrome.
  • A predictive model for cachexia risk in lung and colorectal cancer was developed using clinicogenomic data resources.

Cite This Study

Castillon et al. (2025) studied this question.

synapsesocial.com/papers/68dd91cbfe798ba2fc4986behttps://doi.org/10.1101/2025.09.29.25336906
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