Cancer-Associated Fibroblasts Affect Tumor Metabolism and Immune Microenvironment in Gastric Cancer and Identification of Its Characteristic Genes

Figure 2

Identification of the characteristic genes of CAFs. (a, b) LASSO logistic regression was used to identify the characteristic genes of CAFs. (c) SVM-RFE was used to identify the characteristic genes of CAFs. (d) FNDC1 and RSPOS were identified as the characteristic genes of CAFs. (e, f) ROC curves to evaluate the prediction efficiency of FNDC1 and RSPOS on CAFs infiltration status. (g) A logistic regression was performed based on the FNDC1 and RSPO3. The formula was “score = −95.2708 + 15.9714  FNDC1 + 13.5927  RSPO3.” (h) PCA analysis of FNDC1 and RSPO3 in different CAFs infiltration patients.

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