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This research uncovers a prognostic model using molecular subtypes to enhance survival prediction and therapeutic strategies in lung adenocarcinoma, indicating crucial tumor microenvironment roles.
This research highlights the essential role of DRGs in modulating the tumor microenvironment, influencing therapeutic response, and determining the prognosis of LUAD. The risk model and nomogram, derived from DRG expression, offer robust tools for survival prediction and personalized treatment stratification, facilitating the development of disulfidptosis-targeted therapeutic strategies.
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Xia et al. (2025) studied this question.
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