scavenger receptor cysteine rich family member with 4 domainsGenealiases: S4D-SRCRB · SRCRB-S4D · SRCRB4D
Q-omics provides the consensus-scored SSC4D profile across patient tissues and cancer cell-line models. SSC4D expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, SSC4D is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, SSC4D RNA expression shows 12,962 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRP, KIRC, and TGCT as cancer lineages where SSC4D 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 SSC4D — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SSC4D survival associations across molecular data types. SSC4D RNA expression shows survival associations in the most cancer types (23), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SSC4D RNA expression–survival associations across cancer types. High SSC4D expression shows unfavorable associations in KIRP, UCEC, BLCA, KIRC and COAD, but favorable associations in UVM. The KIRP Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KIRP as the clearest survival context for SSC4D RNA expression.
This table summarizes SSC4D tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for SSC4D. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SSC4D shows lower tumor expression in KIRC and THCA and higher tumor expression in COAD, HNSC, BLCA and LUAD. The KIRC box plot shows higher SSC4D RNA expression in normal versus tumor tissue (log2 FC = −1.893, t-test p < 0.001).
This table shows molecular features associated with SSC4D in patient tissues and cancer cell lines. In patient samples, SSC4D shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, SSC4D RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Leukemia.
