Q-omics provides the consensus-scored TENM1 profile across patient tissues and cancer cell-line models. TENM1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, TENM1 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, TENM1 RNA expression shows 18,906 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KIRC as cancer lineages where TENM1 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 TENM1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TENM1 survival associations across molecular data types. TENM1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (9) 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 TENM1 RNA expression–survival associations across cancer types. High TENM1 expression shows unfavorable associations in UVM and UCEC, but favorable associations in SKCM, MESO, LUAD and ESCA. The UVM 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 UVM as the clearest survival context for TENM1 RNA expression.
This table summarizes TENM1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 5. The strongest signals are observed in KIRC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for TENM1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TENM1 shows lower tumor expression in KICH, BRCA and COAD and higher tumor expression in KIRC, THCA and HNSC. The KIRC box plot shows higher TENM1 RNA expression in tumor versus normal tissue (log2 FC = +1.584, t-test p < 0.001).
This table shows molecular features associated with TENM1 in patient tissues and cancer cell lines. In patient samples, TENM1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, TENM1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BONE.
