Q-omics provides the consensus-scored WTIP profile across patient tissues and cancer cell-line models. WTIP expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, WTIP is differentially expressed in 13, with the highest sampling consensus in THCA. Additionally, WTIP RNA expression shows 17,977 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UCS, THCA, and TGCT as cancer lineages where WTIP 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 WTIP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes WTIP survival associations across molecular data types. WTIP RNA expression shows survival associations in the most cancer types (21), followed by mutation status (2) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible WTIP RNA expression–survival associations across cancer types. High WTIP expression shows unfavorable associations in ACC, UVM, LGG and ESCA, but favorable associations in UCS and CESC. The UCS 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 UCS as the clearest survival context for WTIP RNA expression.
This table summarizes WTIP 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 4. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for WTIP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. WTIP shows lower tumor expression in KICH, BLCA, LUAD, KIRC and UCEC and higher tumor expression in THCA. The THCA box plot shows higher WTIP RNA expression in tumor versus normal tissue (log2 FC = +1.514, t-test p < 0.001).
This table shows molecular features associated with WTIP in patient tissues and cancer cell lines. In patient samples, WTIP shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, WTIP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
