HEPN1

associated omics data
hepatocellular carcinoma, down-regulated 1Genealiases: []

Q-omics provides the consensus-scored HEPN1 profile across patient tissues and cancer cell-line models. HEPN1 expression is associated with patient survival in 1 of 34 cancer types, with the highest sampling consensus in SCLC. Additionally, HEPN1 RNA expression shows 387 significant gene co-expression associations, with the highest sampling consensus in SCLC. Together, these results highlight SCLC as cancer lineages where HEPN1 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.

Survival associations

This table summarizes HEPN1 survival associations across molecular data types. HEPN1 RNA expression shows survival associations in the most cancer types (1), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
HEPN1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
MutationKaplan–Meier3SKCM (12)view →
RNAKaplan–Meier1SCLC (9)view →
This table ranks reproducible HEPN1 RNA expression–survival associations across cancer types. High HEPN1 expression shows unfavorable associations in SCLC. The SCLC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .017). Together, the overview and detailed table identify SCLC as the clearest survival context for HEPN1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
SCLCDFSTertileIV0.1100.414.0179view →
Pink = unfavorable, green = favorable. all 1 lineages →

HEPN1-SCLC (DFS)

Kaplan–Meier survival curve for HEPN1 RNA expression in SCLC: high vs low expression groups.

Explore this curve interactively →

Cross-omics associations

This table shows molecular features associated with HEPN1 in patient tissues and cancer cell lines. In patient samples, HEPN1 shows the broadest associations at the RNA and protein expression levels, with SCLC recurring as the lineage with the largest associated feature set. In cancer cell lines, HEPN1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA387SCLC (387)view →
Function (RNA)179SCLC (179)view →
Mutation
RNA79COAD (46)view →
Infiltrating cells3UCEC (3)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,748LUNG_NSCLC_LUAD (143)view →
shRNA1,276OESOPHAGUS (129)view →
Mutation
Mutation1,867LARGE_INTESTINE (1809)view →
RNA4LARGE_INTESTINE (3)view →
RNA
RNA844BLOOD_Leukemia (201)view →
CRISPR197OVARY (97)view →