3 Key Takeaways
Plain English Summary- 01Core Finding
Cachectic episodes clustered near periods of disease progression and were associated with inferior outcomes in nearly all cancer types.
- 02Study Evidence
Tested in a observational cohort study (52,236 patients) at the real-world cohort stage.
- 03Practical Meaning
Observational cohort findings reveal real-world links, though lifestyle or unmeasured factors cannot be fully ruled out without an RCT.
What This Means for You
Motivated by these observations, we developed a multivariate model to predict impending risk of cachectic weight loss in patients with lung, colorectal and prostate cancer, validated in an independent, external cohort from Dana-Farber Cancer Institute (n = 5,785). Routine clinicogenomic data are, therefore, a scalable resource for discovery in cancer cachexia.
The Discovery
Cancer cachexia is a wasting syndrome with outsized impact on morbidity and mortality, yet its drivers and systemic consequences remain poorly defined. In this study, we repurposed longitudinal clinicogenomic data from 52,236 patients with cancer profiled by MSK-IMPACT (2010-2024) at Memorial Sloan Kettering Cancer Center to define episode-resolved trajectories of consensus-defined cachectic weight loss and linked these events to outcomes, serology and tumor genotypes. Cachectic episodes clustered near periods of disease progression and were associated with inferior outcomes in nearly all cancer types. Across diverse malignancies, cachectic weight loss episodes exhibited a consistent serologic signature characterized by lower albumin and hemoglobin and higher levels of liver enzymes. Numerous somatic tumor genotypes, including TP53 mutation across several diseases, were also associated with more frequent onset of cachectic episodes.
How It Works, Simply
This endocrinology research focuses on enzyme. Researchers evaluated it using an observational cohort study (52,236 patients) at the real-world cohort stage of medical research.
3 Key Takeaways
Clinical Takeaways- 01Core Finding
Cachectic episodes clustered near periods of disease progression and were associated with inferior outcomes in nearly all cancer types.
- 02Study Evidence
Tested in a observational cohort study (52,236 patients) at the real-world cohort stage.
- 03Practical Meaning
Observational cohort findings reveal real-world links, though lifestyle or unmeasured factors cannot be fully ruled out without an RCT.
Biological Mechanism & Study Design
Study Design & Cohort
Observational cohort study
Observational cohort study (52,236 patients) · Real-World Cohort
Biological Pathway & Modality
Enzyme
Intervention: A health-system-scale, episode-resolved multimodal atlas of cancer cachexia
Experimental Findings & Endpoints
Cancer cachexia is a wasting syndrome with outsized impact on morbidity and mortality, yet its drivers and systemic consequences remain poorly defined.
In this study, we repurposed longitudinal clinicogenomic data from 52,236 patients with cancer profiled by MSK-IMPACT (2010-2024) at Memorial Sloan Kettering Cancer Center to define episode-resolved trajectories of consensus-defined cachectic weight loss and linked these events to outcomes, serology and tumor genotypes. Cachectic episodes clustered near periods of disease progression and were associated with inferior outcomes in nearly all cancer types.
Across diverse malignancies, cachectic weight loss episodes exhibited a consistent serologic signature characterized by lower albumin and hemoglobin and higher levels of liver enzymes. Numerous somatic tumor genotypes, including TP53 mutation across several diseases, were also associated with more frequent onset of cachectic episodes.
Clinical Translation & Practice Context
Motivated by these observations, we developed a multivariate model to predict impending risk of cachectic weight loss in patients with lung, colorectal and prostate cancer, validated in an independent, external cohort from Dana-Farber Cancer Institute (n = 5,785).
Routine clinicogenomic data are, therefore, a scalable resource for discovery in cancer cachexia.
The Bottom Line · Clinical Pearl
“Routine clinicogenomic data are, therefore, a scalable resource for discovery in cancer cachexia.”
Published in Nature Medicine · Current Stage: Real-World Cohort