Q-omics provides the consensus-scored ZSWIM8 profile across patient tissues and cancer cell-line models. ZSWIM8 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, ZSWIM8 is differentially expressed in 8, with the highest sampling consensus in THCA. Additionally, ZSWIM8 RNA expression shows 20,392 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight HNSC, THCA, and ACC as cancer lineages where ZSWIM8 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 ZSWIM8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZSWIM8 survival associations across molecular data types. ZSWIM8 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (9) 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 ZSWIM8 RNA expression–survival associations across cancer types. High ZSWIM8 expression shows unfavorable associations in ACC, KICH and BLCA, but favorable associations in HNSC, SCLC and UCEC. 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 ZSWIM8 RNA expression.
This table summarizes ZSWIM8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 5. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for ZSWIM8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZSWIM8 shows lower tumor expression in THCA, KICH, BLCA and READ and higher tumor expression in LIHC and CHOL. The THCA box plot shows higher ZSWIM8 RNA expression in normal versus tumor tissue (log2 FC = −0.449, t-test p = .004).
This table shows molecular features associated with ZSWIM8 in patient tissues and cancer cell lines. In patient samples, ZSWIM8 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, ZSWIM8 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 KIDNEY and SOFT_TISSUE.
