IFITM3P5

associated omics data
IFITM3 pseudogene 5Genealiases: []

Q-omics provides the consensus-scored IFITM3P5 profile across patient tissues and cancer cell-line models. IFITM3P5 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, IFITM3P5 is differentially expressed in 7, with the highest sampling consensus in HNSC. Additionally, IFITM3P5 RNA expression shows 9,477 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight LGG, HNSC, and GBM as cancer lineages where IFITM3P5 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 IFITM3P5 survival associations across molecular data types. IFITM3P5 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
IFITM3P5 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier22LGG (37)view →
This table ranks reproducible IFITM3P5 RNA expression–survival associations across cancer types. High IFITM3P5 expression shows unfavorable associations in LGG, KIRC, UVM, STAD and ACC, but favorable associations in LUAD. The LGG 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 LGG as the clearest survival context for IFITM3P5 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LGGDFSMedianAll0.6690.803<.00137view →
KIRCOSQuartileAll0.7290.853<.00131view →
UVMOSQuartileIII,IV0.2490.730.01918view →
STADDFSMedianIII,IV0.4860.714.01118view →
LUADDFSMedianIII,IV0.6760.347.00518view →
ACCDFSTertileIV0.0650.373.03515view →
Pink = unfavorable, green = favorable. all 22 lineages →

IFITM3P5-LGG (DFS)

Kaplan–Meier survival curve for IFITM3P5 RNA expression in LGG: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes IFITM3P5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in HNSC for RNA.
IFITM3P5 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot7HNSC (11)view →
This table ranks reproducible tumor–normal expression differences for IFITM3P5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IFITM3P5 shows higher tumor expression in HNSC, COAD, STAD, READ, CHOL and KIRC. The HNSC box plot shows higher IFITM3P5 RNA expression in tumor versus normal tissue (log2 FC = +0.269, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCAllAll+0.269<.00111view →
COADFemaleAll+0.723<.0018view →
STADMaleII,III,IV+0.391.0252view →
READAllAll+0.341.0262view →
CHOLMaleAll+0.281.0042view →
KIRCAllAll+0.126.0032view →
Green = repressed in tumor. all 7 lineages →

IFITM3P5-HNSC

Tumor-vs-normal expression box plot for IFITM3P5 in HNSC.

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Cross-omics associations

This table shows molecular features associated with IFITM3P5 in patient tissues and cancer cell lines. In patient samples, IFITM3P5 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Protein (mass-spec)9,477GBM (3196)view →
RNA8,255ESCA (2203)view →