Thymic Health: A New Frontier in Predicting Cancer Immunotherapy Success

Reviewed byNidhi Govil

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A groundbreaking international study reveals that thymic health is strongly associated with cancer patients' responses to immune checkpoint inhibitor treatment, potentially revolutionizing cancer treatment strategies and patient care.

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Groundbreaking Study Links Thymic Health to Immunotherapy Outcomes

A pioneering international study presented at the European Society for Medical Oncology (ESMO) 2025 conference has unveiled a significant association between thymic health and cancer patients' responses to immune checkpoint inhibitor treatment

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The Role of Thymic Health in Cancer Treatment

Dr. Simon Bernatz, lead author from the AI in Medicine Program at Mass General Brigham, Boston, USA, emphasized that while immune checkpoint inhibitors have revolutionized cancer treatment, their efficacy varies among patients . Current biomarkers for immunotherapy primarily focus on tumor characteristics, overlooking patients' immune capacity.

The study investigated the relationship between thymic health and immunotherapy response by analyzing routine chest CT scans from nearly 3,500 patients treated with immune checkpoint inhibitors. Researchers employed an AI tool based on a deep learning framework to assess thymic size, shape, and structure, generating a thymic health score

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Significant Findings and Implications

Results revealed that higher thymic health was associated with a 35% lower risk of cancer progression and a 44% lower risk of death in over 1,200 patients with non-small cell lung cancer . The positive correlation between thymic health and immunotherapy outcomes extended to other cancers, including melanoma, renal, and breast cancers.

Dr. Bernatz explained, "Immunotherapy relies on unleashing T cells, and the thymus is where T cells are matured. Our study shows that thymic health is associated with improved immunotherapy outcomes across diverse cancer types"

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Validation and Future Prospects

To validate their findings, researchers sequenced T-cell receptors and associated proteins in a subgroup of 464 non-small cell lung cancer patients. The results correlated with thymic health assessments from the AI tool, confirming the deep learning analysis of CT scans as a valid proxy for thymic health .

Dr. Bernatz believes that thymic health could serve as a non-invasive biomarker of adaptive immune competence across various cancers. He stated, "Thymic health has the potential to enhance patient stratification in precision oncology. We think thymic health is one of the missing pillars from current cancer biomarker panels and can start bringing the patient's immune system into clinical decision making alongside established tumor-centered biomarkers"

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Limitations and Future Research

Dr. Alessandra Curioni-Fontecedro, Professor of Oncology at the University of Fribourg, Switzerland, noted that the main limitation of the study is the lack of prospective validation. She emphasized the need for a prospective study evaluating thymic health in patients undergoing immunotherapy .

Despite this limitation, the inclusion of a validation cohort enhances the study's quality. Moreover, while thymic health is not routinely assessed, chest CT scans are commonly performed in cancer patients, making this approach potentially accessible for clinical implementation.

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