Q-omics provides the consensus-scored SDCBP2-AS1 profile across patient tissues and cancer cell-line models. SDCBP2-AS1 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, SDCBP2-AS1 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, SDCBP2-AS1 RNA expression shows 21,210 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight READ, KIRC, and UVM as cancer lineages where SDCBP2-AS1 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 SDCBP2-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SDCBP2-AS1 survival associations across molecular data types. SDCBP2-AS1 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SDCBP2-AS1 RNA expression–survival associations across cancer types. High SDCBP2-AS1 expression shows unfavorable associations in KIRC, KICH and COAD, but favorable associations in READ, UCS and PAAD. The READ Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify READ as the clearest survival context for SDCBP2-AS1 RNA expression.
This table summarizes SDCBP2-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for SDCBP2-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SDCBP2-AS1 shows lower tumor expression in KIRC, THCA, KICH and KIRP and higher tumor expression in HNSC and LIHC. The KIRC box plot shows higher SDCBP2-AS1 RNA expression in normal versus tumor tissue (log2 FC = −0.858, t-test p < 0.001).
This table shows molecular features associated with SDCBP2-AS1 in patient tissues and cancer cell lines. In patient samples, SDCBP2-AS1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
