The machine learning approach (sPLS-DA) indicated that the two clusters in tumor samples differ with respect to the expression levels of several autophagy-associated genes: cluster 1, with the prominent expression of ATG9B along with LAMP1, and cluster 2, with high levels of DRAM1. Intriguingly, the genes differentiating these two clusters are closely associated with lysosomal degradation. The gene discussed is ATG9B; the disease is neoplasm.