Q-omics provides the consensus-scored SENP7 profile across patient tissues and cancer cell-line models. SENP7 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, SENP7 is differentially expressed in 9, with the highest sampling consensus in THCA. Additionally, SENP7 RNA expression shows 21,523 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight HNSC, THCA, and THYM as cancer lineages where SENP7 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 SENP7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SENP7 survival associations across molecular data types. SENP7 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (4) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SENP7 RNA expression–survival associations across cancer types. High SENP7 expression shows unfavorable associations in KICH, but favorable associations in HNSC, UCS, LUAD, ESCA and THYM. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify HNSC as the clearest survival context for SENP7 RNA expression.
This table summarizes SENP7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 4. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for SENP7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SENP7 shows lower tumor expression in THCA, KICH, UCEC and LUSC and higher tumor expression in LIHC and CHOL. The THCA box plot shows higher SENP7 RNA expression in normal versus tumor tissue (log2 FC = −0.608, t-test p < 0.001).
This table shows molecular features associated with SENP7 in patient tissues and cancer cell lines. In patient samples, SENP7 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, SENP7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Leukemia.
