Q-omics provides the consensus-scored LIN37 profile across patient tissues and cancer cell-line models. LIN37 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, LIN37 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, LIN37 protein abundance shows 18,733 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, HNSC, and LSCC as cancer lineages where LIN37 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 LIN37 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LIN37 survival associations across molecular data types. LIN37 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (2) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LIN37 RNA expression–survival associations across cancer types. High LIN37 expression shows unfavorable associations in ACC, KIRC, CESC, UCEC and LGG, but favorable associations in UCS. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify ACC as the clearest survival context for LIN37 RNA expression.
This table summarizes LIN37 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 5. The strongest signals are observed in KIRC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for LIN37. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LIN37 shows higher tumor expression in HNSC, KIRC, LIHC, KIRP, LUAD and BLCA. The HNSC box plot shows higher LIN37 RNA expression in tumor versus normal tissue (log2 FC = +0.655, t-test p < 0.001).
This table shows molecular features associated with LIN37 in patient tissues and cancer cell lines. In patient samples, LIN37 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, LIN37 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and BLOOD_Myeloma.
