Shafiya Imtiaz Rafiqi, Juan Carlos Jaume
The advent of cancer immunotherapy opened a transformative era in oncology, shifting the focus from targeting mutated genes through precision oncology to harnessing the body's immune system via agnostic therapies. This paradigm has demonstrated that a deeper understanding of the tumor immune microenvironment (TIME) can transcend the challenges posed by cancer's genetic diversity and evolutionary dynamics. In the case of thyroid cancer, progress in immunotherapy has been comparatively slow. Much of the current research still centers on the genetic landscape of thyroid tumors rather than on comprehensive exploration of their TIME. The TIME, composed of immune cells such as macrophages, lymphocytes, natural killer cells, and mast cells, along with a network of signaling molecules, evolves alongside tumor growth and metastasis. It both influences and is influenced by genetic alterations, metabolic conditions, and therapeutic interventions. This dynamic crosstalk defines the clinical and biological heterogeneity of thyroid cancers; from the aggressive anaplastic thyroid carcinoma (ATC) to the more indolent papillary thyroid carcinoma (PTC). Mapping the spatial and temporal changes within the TIME offers the opportunity to design therapies that counter immune evasion and enhance treatment response. As understanding of the tumor microenvironment deepens, thyroid cancer therapy is undergoing a major shift; from strategies aimed merely at genetic mutations to integrated, combinational approaches incorporating personalized immunotherapy. Building on recent findings, which detail immune cell composition and therapeutic implications in thyroid malignancies, this review expands on the molecular and cellular mechanisms shaping the microenvironment. We highlight how oncogenic signaling, stromal remodeling, and metabolic reprogramming coordinate to influence tumor immunity, and we explore emerging strategies that aim to reengineer the tumor microenvironment for improved therapeutic outcomes.