fig10

Integrative multi-omics analysis for identifying novel therapeutic targets and predicting immunotherapy efficacy in lung adenocarcinoma

Figure 10. Immunotherapy response and survival analysis of MOMLS. (A) Distribution of MOMLS across various immune therapy response groups; (B) TIDE algorithm predictions of immune therapy responses for high and low MOMLS groups; (C) Subclass mapping algorithm predictions of immune therapy responses between high and low MOMLS groups; (D) KM curves for high and low MOMLS groups in the GSE78220 immune dataset; (E) Distribution of MOMLS in different immune therapy datasets, including GSE91061. MOMLS: Multi-omics-driven machine learning signature; TIDE: tumor immune dysfunction and exclusion; KM: Kaplan-Meier; CTLA-4: cytotoxic T-lymphocyte-associated protein 4; PD-1: programmed cell death protein 1.

Cancer Drug Resistance
ISSN 2578-532X (Online)

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