TRIM56

associated omics data
Gene

Q-omics provides the consensus-scored TRIM56 profile across patient tissues and cancer cell-line models. TRIM56 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, TRIM56 is differentially expressed in 14, with the highest sampling consensus in LIHC. Additionally, TRIM56 RNA expression shows 20,508 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight BLCA, LIHC, and ACC as cancer lineages where TRIM56 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 TRIM56 survival associations across molecular data types. TRIM56 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (6) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
TRIM56 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier20BLCA (84)view →
MutationKaplan–Meier6BRCA (36)view →
Protein (mass-spec)Kaplan–Meier4LUAD (29)view →
This table ranks reproducible TRIM56 RNA expression–survival associations across cancer types. High TRIM56 expression shows unfavorable associations in LGG and LIHC, but favorable associations in BLCA, SKCM, KIRC and STAD. The BLCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify BLCA as the clearest survival context for TRIM56 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
BLCAOSMedianAll0.7860.647.00184view →
SKCMOSTertileAll0.8130.707<.00164view →
KIRCDFSTertileAll0.7920.488<.00157view →
LGGDFSMedianAll0.3050.492<.00153view →
STADOSTertileAll0.7590.590.00642view →
LIHCDFSQuartileAll0.4110.574.00420view →
Pink = unfavorable, green = favorable. all 20 lineages →

TRIM56-BLCA (OS)

Kaplan–Meier survival curve for TRIM56 RNA expression in BLCA: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes TRIM56 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 5. The strongest signals are observed in LIHC for RNA and HNSC for protein.
TRIM56 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14LIHC (9)view →
Protein (mass-spec)Box plot5HNSC (8)view →
This table ranks reproducible tumor–normal expression differences for TRIM56. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TRIM56 shows lower tumor expression in UCEC and higher tumor expression in LIHC, KIRC, STAD, KIRP and HNSC. The LIHC box plot shows higher TRIM56 RNA expression in tumor versus normal tissue (log2 FC = +1.395, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
LIHCFemaleII,III,IV+1.395<.0019view →
KIRCMaleAll+0.543<.0019view →
STADAllII,III,IV+0.844<.0018view →
KIRPAllAll+0.425.0057view →
UCECAllAll−1.299<.0016view →
HNSCMaleAll+0.718<.0016view →
Green = repressed in tumor. all 14 lineages →

TRIM56-LIHC

Tumor-vs-normal expression box plot for TRIM56 in LIHC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with TRIM56 in patient tissues and cancer cell lines. In patient samples, TRIM56 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, TRIM56 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in CNS and BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA20,508ACC (9476)view →
Protein (mass-spec)10,178GBM (2374)view →
Protein (mass-spec)
Protein (mass-spec)17,093GBM (7322)view →
RNA8,813GBM (3597)view →
Mutation
RNA2,997UCEC (2264)view →
Protein (RPPA)39UCEC (33)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,498SOFT_TISSUE (124)view →
shRNA1,216CNS (131)view →
RNA
RNA11,818BLOOD_Leukemia (5920)view →
Function (RNA)4,987CNS (1490)view →
Mutation
Mutation4,524LARGE_INTESTINE (2654)view →
RNA170LARGE_INTESTINE (147)view →
shRNA
shRNA2,294BLOOD_Myeloma (274)view →
CRISPR1,680BLOOD_Myeloma (132)view →