secreted and transmembrane 1Genealiases: K12 · SECTM
Q-omics provides the consensus-scored SECTM1 profile across patient tissues and cancer cell-line models. SECTM1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, SECTM1 is differentially expressed in 10, with the highest sampling consensus in COAD. Additionally, SECTM1 RNA expression shows 13,685 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight SKCM, COAD, and UVM as cancer lineages where SECTM1 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 SECTM1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SECTM1 survival associations across molecular data types. SECTM1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (3) 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 SECTM1 RNA expression–survival associations across cancer types. High SECTM1 expression shows unfavorable associations in UVM and LGG, but favorable associations in SKCM, CESC, KIRP and MESO. The SKCM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify SKCM as the clearest survival context for SECTM1 RNA expression.
This table summarizes SECTM1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 2. The strongest signals are observed in COAD for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for SECTM1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SECTM1 shows lower tumor expression in COAD, KICH, LUSC and LUAD and higher tumor expression in BRCA and LIHC. The COAD box plot shows higher SECTM1 RNA expression in normal versus tumor tissue (log2 FC = −2.969, t-test p < 0.001).
This table shows molecular features associated with SECTM1 in patient tissues and cancer cell lines. In patient samples, SECTM1 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, SECTM1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in BONE and SKIN.
