In silico validation of the prognostic implication of CALCRL, LSP1, and CD109 expression in patients with a variety of hematopoietic and solid tumors. (A) Survival z-scores by cancer subtype were retrieved from PRECOG (http://precog.stanford.edu).³⁶  Heat maps of z-scores were built using Morpheus (Broad Institute, Cambridge, MA). Red nodes denote a correlation between high gene expression and shorter OS, whereas blue nodes indicate a correlation between high gene expression and longer OS. (B) Analysis of functional protein association networks using STRING (https://string-db.org/). Top 10 molecules interacting with CALCRL, LSP1, and CD109 are shown together with their predicted mode of action (highest confidence interaction scores >0.900). Network nodes (query proteins) represent proteins produced by a single protein-coding gene locus. White nodes represent second shells of interactors. Empty and filled nodes indicate proteins of unknown or partially known 3-dimensional structure, respectively. Edges represent protein–protein associations. Line shapes denote predicted modes of action. (C) Venn diagrams showing biological processes and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways related to CALCRL, LSP1, and CD109 expression. (D) Expression of transcripts for CALCRL, LSP1, and CD109 in normal hematopoietic tissues was assessed using a public database of mRNA expression profiles (http://servers.binf.ku.dk/bloodspot/). Mean and standard deviation of gene expression (batch-corrected data) in each HSC subset were plotted. B-ALL, B-cell acute lymphoblastic leukemia; BL, Burkitt lymphoma; CLL, chronic lymphocytic leukemia; CMP, common myeloid progenitor; DLBCL, diffuse large B-cell lymphoma; FL, follicular lymphoma; GMP, granulocyte-macrophage progenitor; MCL, mantle cell lymphoma; mDCs, myeloid dendritic cells; MEP, megakaryocyte-erythroid progenitor; MM, multiple myeloma; NK, natural killer; pDCs, plasmacytoid dendritic cells; PMN, polymorphonuclear; SCC, squamous cell carcinoma.