Targeting non-canonical antigens unlocks functional T-cell responses in renal cell carcinoma.
Аннотация
BACKGROUND
Renal cell carcinoma (RCC) frequently exhibits favorable responses to immunotherapy, despite a low tumor mutational burden, suggesting a critical role for non-mutational antigens presented by human leukocyte antigen class I in activating CD8+ T cells.
METHODS
To systematically identify non-canonical tumor-specific antigens, we developed an integrated proteogenomic approach to RCC samples by combining immunopeptidomics with exome and transcriptome sequencing. We subsequently primed and expanded antigen-reactive T cells in vitro, isolated a panel of antigen-specific T-cell receptors, and characterized their functionality. Finally, we investigated the tumor-killing and regression of non-canonical antigen-reactive T cells using patient-derived tumor-like cell clusters and mouse models.
RESULTS
We discovered a diverse repertoire of non-canonical tumor-specific antigens derived from human endogenous retroviruses (hERVs) and long non-coding RNAs (lncRNAs), many of which were shared across patients. Single-cell RNA sequencing further revealed that T cells reactive to these antigens were enriched within exhausted subsets in the tumor microenvironment, indicative of persistent antigen-specific stimulation. Functionally, T cells engineered to recognize these non-canonical antigens mediated potent tumor cell killing both in vitro and in vivo. Our findings establish hERV-derived and lncRNA-derived antigens as key drivers of RCC immunogenicity and highlight their strong potential as targets for T-cell-based immunotherapy.
CONCLUSIONS
Our work is the first to demonstrate that non-canonical antigens drive immunogenicity in low-mutation RCC, thereby resolving a key question in cancer immunology-how tumors with low mutational burden can provoke robust T-cell responses.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.