Q-omics provides the consensus-scored SALL4 profile across patient tissues and cancer cell-line models. SALL4 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SALL4 is differentially expressed in 16, with the highest sampling consensus in BLCA. Additionally, SALL4 RNA expression shows 18,877 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, BLCA, and UVM as cancer lineages where SALL4 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 SALL4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SALL4 survival associations across molecular data types. SALL4 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SALL4 RNA expression–survival associations across cancer types. High SALL4 expression shows unfavorable associations in KIRC, KIRP, MESO, THCA, STAD and UCEC. 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 SALL4 RNA expression.
This table summarizes SALL4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for SALL4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SALL4 shows lower tumor expression in THCA and higher tumor expression in BLCA, COAD, HNSC, LUAD and BRCA. The BLCA box plot shows higher SALL4 RNA expression in tumor versus normal tissue (log2 FC = +2.298, t-test p < 0.001).
This table shows molecular features associated with SALL4 in patient tissues and cancer cell lines. In patient samples, SALL4 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, SALL4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in CNS and SOFT_TISSUE.
