small nucleolar RNA host gene 28Genealiases: C1orf204 · VSIG8-OT1
Q-omics provides the consensus-scored SNHG28 profile across patient tissues and cancer cell-line models. SNHG28 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SNHG28 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, SNHG28 RNA expression shows 18,206 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, and UVM as cancer lineages where SNHG28 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 SNHG28 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNHG28 survival associations across molecular data types. SNHG28 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNHG28 RNA expression–survival associations across cancer types. High SNHG28 expression shows unfavorable associations in KIRC and MESO, but favorable associations in KIRP, READ, PAAD and SKCM. 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 SNHG28 RNA expression.
This table summarizes SNHG28 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for SNHG28. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNHG28 shows lower tumor expression in KIRC, KICH, KIRP, HNSC and BRCA and higher tumor expression in CHOL. The KIRC box plot shows higher SNHG28 RNA expression in normal versus tumor tissue (log2 FC = −0.733, t-test p < 0.001).
This table shows molecular features associated with SNHG28 in patient tissues and cancer cell lines. In patient samples, SNHG28 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, SNHG28 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 CNS.
