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Fig. 3 | Cancer Cell International

Fig. 3

From: Development of a prognostic model based on lysosome-related genes for ovarian cancer: insights into tumor microenvironment, mutation patterns, and personalized treatment strategies

Fig. 3

Sequential analysis for the determination of prognostically significant LRGs in OC. A Illustration of differential expression analysis comparing OC tissues to normal controls, identifying genes with altered expression. B Venn diagram analysis to identify genes that overlap between the DEGs and LRGs. C Application of univariate Cox regression to identify LRGs with significant prognostic value. D Assessment of the distribution of LASSO coefficients. E Selection of the optimal penalty parameter in the LASSO model via cross-validation, ensuring model reliability. F Evaluation of the distribution of selected genes and their corresponding regression coefficients

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Cancer Cell International

ISSN: 1475-2867

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