Exploring Heterogeneity: A Dive into Pre-Clinical Models of Cancer Cachexia

恶病质 癌症恶病质 癌症 医学 计算生物学 计算机科学 内科学 生物
作者
Francielly Morena da Silva,Ana Regina Cabrera,Nicholas P. Greene
出处
期刊:American Journal of Physiology-cell Physiology [American Physical Society]
卷期号:327 (2): C310-C328 被引量:3
标识
DOI:10.1152/ajpcell.00317.2024
摘要

Cancer cachexia (CC) is a multifactorial and complex syndrome experienced by up to 80% of patients with cancer and implicated in ∼40% of cancer-related deaths. Given its significant impact on patients’ quality of life and prognosis, there has been a growing emphasis on elucidating the underlying mechanisms of CC using preclinical models. However, the mechanisms of cachexia appear to differ across several variables including tumor type and model and biologic variables such as sex. These differences may be exacerbated by variance in experimental approaches and data reporting. This review examines literature spanning from 2011 to March 2024, focusing on common preclinical models of CC, including Lewis Lung Carcinoma, pancreatic KPC, and colorectal colon-26 and Apc min/+ models. Our analysis reveals considerable heterogeneity in phenotypic outcomes, and investigated mechanisms within each model, with particular attention to sex differences that may be exacerbated through methodological differences. Although searching for unified mechanisms is critical, we posit that effective treatment approaches are likely to leverage the heterogeneity presented by the tumor and pertinent biological variables to direct specific interventions. In exploring this heterogeneity, it becomes critical to consider methodological and data reporting approaches to best inform further research.

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