secondary ossification center associated regulator of chondrocyte maturationGenealiases: ASCL830 · C2orf82 · UNQ830
Q-omics provides the consensus-scored SNORC profile across patient tissues and cancer cell-line models. SNORC expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SNORC is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, SNORC RNA expression shows 17,006 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, and ACC as cancer lineages where SNORC 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 SNORC — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNORC survival associations across molecular data types. SNORC RNA expression shows survival associations in the most cancer types (28), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNORC RNA expression–survival associations across cancer types. High SNORC expression shows unfavorable associations in KIRC, ACC and UCEC, but favorable associations in STAD, LGG and SCLC. The KIRC 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 KIRC as the clearest survival context for SNORC RNA expression.
This table summarizes SNORC tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for SNORC. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNORC shows lower tumor expression in BRCA and higher tumor expression in KIRC, STAD, LUAD, THCA and KIRP. The KIRC box plot shows higher SNORC RNA expression in tumor versus normal tissue (log2 FC = +1.056, t-test p < 0.001).
This table shows molecular features associated with SNORC in patient tissues and cancer cell lines. In patient samples, SNORC 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, SNORC RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in LIVER and BLOOD_Leukemia.
