Q-omics provides the consensus-scored SDHAP1 profile across patient tissues and cancer cell-line models. SDHAP1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, SDHAP1 is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, SDHAP1 RNA expression shows 19,676 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KICH, KIRC, and UVM as cancer lineages where SDHAP1 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 SDHAP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SDHAP1 survival associations across molecular data types. SDHAP1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SDHAP1 RNA expression–survival associations across cancer types. High SDHAP1 expression shows unfavorable associations in KICH, ACC, COAD, BLCA and LIHC, but favorable associations in THYM. The KICH 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 KICH as the clearest survival context for SDHAP1 RNA expression.
This table summarizes SDHAP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for SDHAP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SDHAP1 shows lower tumor expression in THCA and higher tumor expression in KIRC, LIHC, HNSC, LUSC and CHOL. The KIRC box plot shows higher SDHAP1 RNA expression in tumor versus normal tissue (log2 FC = +0.839, t-test p < 0.001).
This table shows molecular features associated with SDHAP1 in patient tissues and cancer cell lines. In patient samples, SDHAP1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
