Q-omics provides the consensus-scored HEXA-AS1 profile across patient tissues and cancer cell-line models. HEXA-AS1 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, HEXA-AS1 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, HEXA-AS1 RNA expression shows 16,749 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight KICH, KIRC, and DLBC as cancer lineages where HEXA-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 HEXA-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HEXA-AS1 survival associations across molecular data types. HEXA-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 HEXA-AS1 RNA expression–survival associations across cancer types. High HEXA-AS1 expression shows unfavorable associations in KICH, SKCM, MESO and CESC, but favorable associations in READ and PRAD. The KICH 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 KICH as the clearest survival context for HEXA-AS1 RNA expression.
This table summarizes HEXA-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for HEXA-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HEXA-AS1 shows lower tumor expression in KIRC, COAD and THCA and higher tumor expression in LIHC, BLCA and CHOL. The KIRC box plot shows higher HEXA-AS1 RNA expression in normal versus tumor tissue (log2 FC = −0.503, t-test p < 0.001).
This table shows molecular features associated with HEXA-AS1 in patient tissues and cancer cell lines. In patient samples, HEXA-AS1 shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set. In cancer cell lines, HEXA-AS1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in NCI60_ALL.
