TRIM50

associated omics data
Gene

Q-omics provides the consensus-scored TRIM50 profile across patient tissues and cancer cell-line models. TRIM50 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, TRIM50 is differentially expressed in 15, with the highest sampling consensus in KIRP. Additionally, TRIM50 RNA expression shows 11,242 significant gene co-expression associations, with the highest sampling consensus in SARC. Together, these results highlight LUAD, KIRP, and SARC as cancer lineages where TRIM50 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 TRIM50 survival associations across molecular data types. TRIM50 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
TRIM50 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier24LUAD (77)view →
MutationKaplan–Meier5LUAD (36)view →
This table ranks reproducible TRIM50 RNA expression–survival associations across cancer types. High TRIM50 expression shows unfavorable associations in STAD and READ, but favorable associations in LUAD, ACC, KIRP and HNSC. The LUAD Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify LUAD as the clearest survival context for TRIM50 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LUADDFSMedianAll0.8440.735<.00177view →
ACCOSQuartileII,III,IV0.7810.304<.00175view →
KIRPDFSMedianAll0.9590.859<.00163view →
STADDFSQuartileIV0.0900.655<.00148view →
READDFSMedianAll0.3450.829.00230view →
HNSCDFSTertileIV0.7430.559.00525view →
Pink = unfavorable, green = favorable. all 24 lineages →

TRIM50-LUAD (DFS)

Kaplan–Meier survival curve for TRIM50 RNA expression in LUAD: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes TRIM50 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in KIRC for RNA.
TRIM50 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot15KIRC (11)view →
This table ranks reproducible tumor–normal expression differences for TRIM50. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TRIM50 shows lower tumor expression in KIRP, KIRC, THCA, LUSC and STAD and higher tumor expression in KICH. The KIRP box plot shows higher TRIM50 RNA expression in normal versus tumor tissue (log2 FC = −2.191, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRPMaleII,III,IV−2.191<.00111view →
KIRCMaleAll−1.221<.00111view →
THCAMaleIII,IV−1.068<.0019view →
LUSCFemaleII,III,IV−0.202<.0019view →
KICHFemaleII,III,IV+5.971<.0018view →
STADAllII,III,IV−1.434<.0018view →
Green = repressed in tumor. all 15 lineages →

TRIM50-KIRP

Tumor-vs-normal expression box plot for TRIM50 in KIRP.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with TRIM50 in patient tissues and cancer cell lines. In patient samples, TRIM50 shows the broadest associations at the RNA and protein expression levels, with SARC recurring as the lineage with the largest associated feature set. In cancer cell lines, TRIM50 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in BONE and CNS.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA11,242SARC (1835)view →
Protein (mass-spec)10,604PDAC (6362)view →
Mutation
RNA1,448UCEC (1349)view →
Protein (RPPA)37UCEC (37)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,006LUNG_SCLC (207)view →
RNA1,648LUNG_SCLC (210)view →
shRNA
RNA1,793LUNG_SCLC (369)view →
CRISPR1,610BONE (231)view →
RNA
RNA1,432CNS (254)view →
CRISPR647LARGE_INTESTINE (119)view →
Mutation
Mutation1,347BLOOD_Leukemia (676)view →
RNA14OVARY (8)view →