H2BC8

associated omics data
H2B clustered histone 8Genealiases: H2B.1A · H2B/a · H2BC10 · H2BC4 · H2BC6 · H2BC7

Q-omics provides the consensus-scored H2BC8 profile across patient tissues and cancer cell-line models. H2BC8 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, H2BC8 is differentially expressed in 14, with the highest sampling consensus in LUAD. Additionally, H2BC8 RNA expression shows 16,813 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight UVM, LUAD, and LSCC as cancer lineages where H2BC8 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 H2BC8 survival associations across molecular data types. H2BC8 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
H2BC8 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier22UVM (69)view →
MutationKaplan–Meier2LUAD (24)view →
This table ranks reproducible H2BC8 RNA expression–survival associations across cancer types. High H2BC8 expression shows unfavorable associations in UVM, KIRC, ACC, LGG and KIRP, but favorable associations in SCLC. 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 H2BC8 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UVMDFSMedianAll0.4190.731<.00169view →
KIRCDFSTertileAll0.5720.841<.00157view →
ACCDFSTertileII,III,IV0.2150.647<.00156view →
LGGOSTertileAll0.3290.546<.00133view →
KIRPDFSQuartileAll0.5190.807<.00123view →
SCLCOSTertileII,III,IV0.6810.227.00320view →
Pink = unfavorable, green = favorable. all 22 lineages →

H2BC8-UVM (DFS)

Kaplan–Meier survival curve for H2BC8 RNA expression in UVM: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes H2BC8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in LUAD for RNA.
H2BC8 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14LUAD (11)view →
This table ranks reproducible tumor–normal expression differences for H2BC8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H2BC8 shows higher tumor expression in LUAD, BLCA, LIHC, LUSC, HNSC and BRCA. The LUAD box plot shows higher H2BC8 RNA expression in tumor versus normal tissue (log2 FC = +2.339, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
LUADMaleAll+2.339<.00111view →
BLCAAllAll+2.378<.0019view →
LIHCMaleII,III,IV+1.616<.0019view →
LUSCFemaleAll+2.277<.0018view →
HNSCMaleAll+1.501<.0018view →
BRCAAllIII,IV+2.453<.0016view →
Green = repressed in tumor. all 14 lineages →

H2BC8-LUAD

Tumor-vs-normal expression box plot for H2BC8 in LUAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with H2BC8 in patient tissues and cancer cell lines. In patient samples, H2BC8 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, H2BC8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in OVARY and BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Protein (mass-spec)16,813LSCC (8408)view →
RNA14,516TGCT (4386)view →
Mutation
RNA149UCEC (54)view →
Protein (RPPA)3UCEC (3)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,895BLOOD_Lymphoma (179)view →
RNA1,449OVARY (422)view →
RNA
RNA7,035BLOOD_Leukemia (2378)view →
Function (RNA)2,918BLOOD_Leukemia (958)view →
shRNA
RNA1,956SKIN (496)view →
shRNA1,643SOFT_TISSUE (180)view →
Mutation
Mutation337LARGE_INTESTINE (248)view →
RNA2LUNG_SCLC (1)view →