Cancer cachexia is a syndrome characterized by profound weight loss, muscle wasting, and metabolic disturbance in cancer patients. Cancer-associated cachexia represents significant biological and clinical challenges that profoundly affect human health. Approximately 20 % of cancer patients succumb directly to cachexia-related complications. Aging is characterized by a gradual decline in physiological functions and an increased vulnerability to chronic diseases. However, whether aging inherently increases vulnerability to cachexia or exacerbates its progression remains unclear, impeding the development of targeted strategies for this high-risk population. Ganoderma lucidum polysaccharides (GLP) have demonstrated diverse pharmacological activities; however, their potential role in attenuating of tumor cachexia remains inadequately explored and warrants further investigation. In this study, GLP was found to mitigate tumor cachexia in vitro and in vivo models, as evidenced by rescuing significant weight loss, muscle atrophy, and adipose tissue breakdown. Notably, its therapeutic potency is more profoundly marked in aged mice than in young ones. Mechanistically, GLP alleviated myofiber atrophy and dyslipolysis by inactivating NF-κB and AMPK pathways, while also activating Treg cells by regulating arginine metabolism. In conclusion, our findings indicate that GLP exhibits cachexia-attenuating activities, thereby positioning it as a potential therapeutic candidate for aging-related conditions.
Cancer cells face a hostile microenvironment characterized by hypoxia, nutrient deprivation, endoplasmic reticulum (ER) stress, and oxidative imbalance. To cope with these challenges, they activate an interconnected network of adaptive pathways including autophagy, the unfolded protein response, metabolic reprogramming, and the integrated stress response., which promote cell survival, therapy resistance, immune evasion, and metastasis. CRISPR-based functional genomics has emerged as a powerful strategy to systematically dissect these stress-adaptive networks, enabling the identification of key regulators and vulnerabilities across diverse contexts. In this review, we first summarize tumor progression in major stress conditions and then highlight how CRISPR screening strategies ranging from genome-wide loss-of-function studies to single-cell and combinatorial platforms, are unraveling critical stress regulators. We further discuss emerging tools, model systems, and translational perspectives, underscoring how the integration of CRISPR technologies with multi-omics, artificial intelligence, and advanced preclinical models is reshaping our understanding of cancer stress biology and guiding the development of novel therapeutic strategies. Finally, we addressed how these novel dissection technologies influence translational opportunities, specifically in the context of combining stress-pathway modulators with immunotherapy and targeted therapy drugs.

