HMGB1P5

associated omics data
high mobility group box 1 pseudogene 5Genealiases: HMG-1 · HMG1L5 · HMGB1L15 · HMGB1L5 · HMGB1P2

Q-omics provides the consensus-scored HMGB1P5 profile across patient tissues and cancer cell-line models. HMGB1P5 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, HMGB1P5 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, HMGB1P5 RNA expression shows 19,391 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, HNSC, and ACC as cancer lineages where HMGB1P5 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 HMGB1P5 survival associations across molecular data types. HMGB1P5 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
HMGB1P5 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier25UVM (80)view →
MutationKaplan–Meier1SARC (12)view →
This table ranks reproducible HMGB1P5 RNA expression–survival associations across cancer types. High HMGB1P5 expression shows unfavorable associations in UVM, ACC, ESCA and KIRP, but favorable associations in KIRC and THCA. The UVM 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 UVM as the clearest survival context for HMGB1P5 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UVMDFSMedianIII,IV0.2440.751<.00180view →
ACCDFSMedianAll0.2420.623<.00171view →
KIRCOSTertileAll0.7370.550<.00164view →
ESCADFSTertileIII,IV0.2670.577.00242view →
KIRPDFSMedianII,III,IV0.1770.687.00240view →
THCAOSTertileII,III,IV1.0000.907.00338view →
Pink = unfavorable, green = favorable. all 25 lineages →

HMGB1P5-UVM (DFS)

Kaplan–Meier survival curve for HMGB1P5 RNA expression in UVM: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes HMGB1P5 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 1. The strongest signals are observed in HNSC for RNA and LUAD for protein.
HMGB1P5 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11HNSC (10)view →
Protein (mass-spec)Box plot1LUAD (3)view →
This table ranks reproducible tumor–normal expression differences for HMGB1P5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HMGB1P5 shows lower tumor expression in KICH and higher tumor expression in HNSC, BLCA, STAD, CHOL and LIHC. The HNSC box plot shows higher HMGB1P5 RNA expression in tumor versus normal tissue (log2 FC = +0.665, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCAllIII,IV+0.665<.00110view →
KICHFemaleII,III,IV−1.798<.0018view →
BLCAMaleAll+0.804<.0017view →
STADAllII,III,IV+0.847.0016view →
CHOLMaleAll+1.710<.0015view →
LIHCAllAll+0.580<.0015view →
Green = repressed in tumor. all 11 lineages →

HMGB1P5-HNSC

Tumor-vs-normal expression box plot for HMGB1P5 in HNSC.

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Cross-omics associations

This table shows molecular features associated with HMGB1P5 in patient tissues and cancer cell lines. In patient samples, HMGB1P5 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA19,391ACC (10262)view →
Protein (mass-spec)15,196LSCC (4723)view →
Protein (mass-spec)
Protein (mass-spec)1,506UCEC (893)view →
RNA1,465LSCC (1245)view →
Mutation
RNA39UCEC (39)view →