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Fig. 3 | Cancer Cell International

Fig. 3

From: Integrative evaluation and experimental validation of the immune-modulating potential of dysregulated extracellular matrix genes in high-grade serous ovarian cancer prognosis

Fig. 3

Construction of a prognostic signature based on ECM genes. (A) Frequency distribution of prognostic signatures after 1000 iterations (left pie chart) and regression coefficients of each gene in the ECMscore signature determined by the LASSO algorithm (right bar chart). (B) Associations between ECMscore and clinical features including survival status, age, grade, stage, TCGA molecular subtypes, and immune subtypes. (C) Kaplan-Meier analysis illustrating the differences in OS (upper) and PFS (bottom) between low- and high-ECMscore groups in the TCGA-OV cohort. (D) Univariate Cox regression analysis of ECMscore across various cohorts, with dashed line representing HR = 1. (E) Multivariate Cox regression analysis showing the effect of ECMscore and clinicopathological characteristics on survival in different cohorts. The HR value of ECMscore was adjusted for age, grade, and stage in various cohorts, with dashed line indicating HR = 1. (F) Time-dependent area AUC values of ECMscore in different cohorts. (G) C-index comparison of ECMscore with clinicopathological characteristics in different cohorts

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Cancer Cell International

ISSN: 1475-2867

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