Q-omics provides the consensus-scored HAL profile across patient tissues and cancer cell-line models. HAL expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in OV. Among the 18 cancer types available for tumor–normal comparison, HAL is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, HAL RNA expression shows 14,267 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight OV, KICH, and UVM as cancer lineages where HAL 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 HAL — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HAL survival associations across molecular data types. HAL RNA expression shows survival associations in the most cancer types (20), followed by mutation status (1) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HAL RNA expression–survival associations across cancer types. High HAL expression shows unfavorable associations in OV, LUAD, LGG, ACC, KIRP and UVM. The OV 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 OV as the clearest survival context for HAL RNA expression.
This table summarizes HAL tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 2. The strongest signals are observed in THCA for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for HAL. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HAL shows lower tumor expression in KICH, THCA, LIHC and HNSC and higher tumor expression in KIRC and LUAD. The KICH box plot shows higher HAL RNA expression in normal versus tumor tissue (log2 FC = −0.284, t-test p < 0.001).
This table shows molecular features associated with HAL in patient tissues and cancer cell lines. In patient samples, HAL 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, HAL RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BONE.
