HELLP associated long non-coding RNAGenealiases: LINC-HELLP · lncHELLP
Q-omics provides the consensus-scored HELLPAR profile across patient tissues and cancer cell-line models. HELLPAR expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, HELLPAR is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, HELLPAR RNA expression shows 18,042 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, HNSC, and UVM as cancer lineages where HELLPAR 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 HELLPAR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HELLPAR survival associations across molecular data types. HELLPAR RNA expression shows survival associations in the most cancer types (23), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HELLPAR RNA expression–survival associations across cancer types. High HELLPAR expression shows unfavorable associations in KIRC, ACC, KICH, LGG, KIRP and PCPG. 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 HELLPAR RNA expression.
This table summarizes HELLPAR 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for HELLPAR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HELLPAR shows lower tumor expression in THCA and higher tumor expression in HNSC, COAD, LUSC, STAD and KIRC. The HNSC box plot shows higher HELLPAR RNA expression in tumor versus normal tissue (log2 FC = +0.022, t-test p < 0.001).
This table shows molecular features associated with HELLPAR in patient tissues and cancer cell lines. In patient samples, HELLPAR shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
