Q-omics provides the consensus-scored CABLES2 profile across patient tissues and cancer cell-line models. CABLES2 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, CABLES2 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, CABLES2 RNA expression shows 19,295 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight KICH, HNSC, and KIRP as cancer lineages where CABLES2 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for CABLES2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CABLES2 survival associations across molecular data types. CABLES2 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (1) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CABLES2 RNA expression–survival associations across cancer types. High CABLES2 expression shows unfavorable associations in KICH, KIRP, KIRC, LGG, UCEC and LAML. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify KICH as the clearest survival context for CABLES2 RNA expression.
This table summarizes CABLES2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 1. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for CABLES2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CABLES2 shows higher tumor expression in HNSC, COAD, KIRC, LUAD, KIRP and LIHC. The HNSC box plot shows higher CABLES2 RNA expression in tumor versus normal tissue (log2 FC = +1.108, t-test p < 0.001).
This table shows molecular features associated with CABLES2 in patient tissues and cancer cell lines. In patient samples, CABLES2 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, CABLES2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and KIDNEY.
