Q-omics provides the consensus-scored SPAG7 profile across patient tissues and cancer cell-line models. SPAG7 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, SPAG7 is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, SPAG7 protein abundance shows 21,830 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, KICH, and GBM as cancer lineages where SPAG7 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 SPAG7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SPAG7 survival associations across molecular data types. SPAG7 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (3) 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 SPAG7 RNA expression–survival associations across cancer types. High SPAG7 expression shows unfavorable associations in UVM, LUAD, CHOL and UCS, but favorable associations in KIRP 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 SPAG7 RNA expression.
This table summarizes SPAG7 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 KICH for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for SPAG7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SPAG7 shows lower tumor expression in KICH, LUAD, BRCA, LUSC, COAD and UCEC. The KICH box plot shows higher SPAG7 RNA expression in normal versus tumor tissue (log2 FC = −1.528, t-test p < 0.001).
This table shows molecular features associated with SPAG7 in patient tissues and cancer cell lines. In patient samples, SPAG7 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, SPAG7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and UPPER_AERODIGESTIVE_TRACT.
