cactin, spliceosome C complex subunitGenealiases: C19orf29 · NY-REN-24 · fSAPc
Q-omics provides the consensus-scored CACTIN profile across patient tissues and cancer cell-line models. CACTIN expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, CACTIN is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, CACTIN protein abundance shows 31,739 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight HNSC, and GBM as cancer lineages where CACTIN 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 CACTIN — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CACTIN survival associations across molecular data types. CACTIN RNA expression shows survival associations in the most cancer types (28), followed by mutation status (7) and mass-spec protein abundance (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CACTIN RNA expression–survival associations across cancer types. High CACTIN expression shows unfavorable associations in ACC, MESO and LGG, but favorable associations in HNSC, UCEC and SCLC. The HNSC 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 HNSC as the clearest survival context for CACTIN RNA expression.
This table summarizes CACTIN tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 11. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for CACTIN. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CACTIN shows higher tumor expression in HNSC, COAD, LIHC, KIRP, KIRC and STAD. The HNSC box plot shows higher CACTIN RNA expression in tumor versus normal tissue (log2 FC = +0.991, t-test p < 0.001).
This table shows molecular features associated with CACTIN in patient tissues and cancer cell lines. In patient samples, CACTIN 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, CACTIN RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BLOOD_Leukemia.
