Unlocking the Potential of Therapy-Induced Cytokine Responses: Illuminating New Pathways in Cancer Precision Medicine.
Dilip R GunturuMohammed HassanDeepa BediPran DattaUpender ManneTemesgen SamuelPublished in: Current oncology (Toronto, Ont.) (2024)
Precision cancer medicine primarily aims to identify individual patient genomic variations and exploit vulnerabilities in cancer cells to select suitable patients for specific drugs. These genomic features are commonly determined by gene sequencing prior to therapy, to identify individuals who would be most responsive. This precision approach in cancer therapeutics remains a powerful tool that benefits a smaller pool of patients, sparing others from unnecessary treatments. A limitation of this approach is that proteins, not genes, are the ultimate effectors of biological functions, and therefore the targets of therapeutics. An additional dimension in precision medicine that considers an individual's cytokine response to cancer therapeutics is proposed. Cytokine responses to therapy are multifactorial and vary among individuals. Thus, precision is dictated by the nature and magnitude of cytokine responses in the tumor microenvironment exposed to therapy. This review highlights cytokine responses as modules for precision medicine in cancer therapy, including potential challenges. For solid tumors, both detectability of cytokines in tissue fluids and their being amenable to routine sensitive analyses could address the difficulty of specimen collection for diagnosis and monitoring. Therefore, in precision cancer medicine, cytokines offer rational targets that can be utilized to enhance the efficacy of cancer therapy.
Keyphrases
- papillary thyroid
- cancer therapy
- squamous cell
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- small molecule
- ejection fraction
- lymph node metastasis
- drug delivery
- prognostic factors
- peritoneal dialysis
- copy number
- stem cells
- genome wide
- risk assessment
- patient reported outcomes
- clinical practice
- human health
- single cell
- genome wide analysis