Research Paper Volume 14, Issue 18 pp 7470—7504

Identification of immune and stromal cell infiltration-related gene signature for prognosis prediction in acute lymphoblastic leukemia


Figure 4. Identification of an ISCIRG-based signature. (A) The coefficient profile plot was produced against the log(lambda) sequence. A vertical line was drawn at the value selected using ten-fold cross-validation, where an optimal lambda value resulted in ten features with nonzero coefficients. (B) Optimal parameter (lambda) selection in the LASSO model used ten-fold cross-validation via minimum criteria. The partial likelihood deviance (binomial deviance) curve was plotted versus the log(lambda) value. Dotted vertical lines were drawn at the optimal values by using the minimum criteria and the I standard error of the minimum criteria. (C) The mRNA expression profiles of the seven prognostic ISCIRGs between health and tumor tissues (bulk RNA-seq datasets). **p < 0.01, ***p < 0.001 and ****p < 0.0001. (D) Genetic alterations of seven prognostic ISCIRGs in ALL calculated by cBioPortal database. *p < 0.05.