C22orf42

associated omics data
Gene

Q-omics provides the consensus-scored C22orf42 profile across patient tissues and cancer cell-line models. C22orf42 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, C22orf42 is differentially expressed in 7, with the highest sampling consensus in KIRC. Additionally, C22orf42 RNA expression shows 8,468 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, KIRC, and TGCT as cancer lineages where C22orf42 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 C22orf42 survival associations across molecular data types. C22orf42 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
C22orf42 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier22ACC (93)view →
MutationKaplan–Meier5ACC (45)view →
This table ranks reproducible C22orf42 RNA expression–survival associations across cancer types. High C22orf42 expression shows unfavorable associations in ACC, LIHC, KIRC, DLBC and LAML, but favorable associations in LUSC. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify ACC as the clearest survival context for C22orf42 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCOSTertileAll0.2070.750.00193view →
LIHCDFSQuartileAll0.4010.569.00359view →
KIRCDFSMedianIII,IV0.5350.723.00458view →
LUSCOSQuartileII,III,IV0.7520.558.00248view →
DLBCDFSTertileII,III,IV0.0650.829<.00145view →
LAMLDFSMedianAll0.2870.627<.00144view →
Pink = unfavorable, green = favorable. all 22 lineages →

C22orf42-ACC (OS)

Kaplan–Meier survival curve for C22orf42 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes C22orf42 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 KIRC for RNA.
C22orf42 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot7KIRC (9)view →
This table ranks reproducible tumor–normal expression differences for C22orf42. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. C22orf42 shows lower tumor expression in BRCA and STAD and higher tumor expression in KIRC, HNSC, ESCA and BLCA. The KIRC box plot shows higher C22orf42 RNA expression in tumor versus normal tissue (log2 FC = +0.037, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCAllII,III,IV+0.037<.0019view →
HNSCAllAll+0.030.0084view →
BRCAAllIV−0.055.0082view →
ESCAAllII,III,IV+0.025.0372view →
BLCAAllAll+0.023.0402view →
STADAllAll−0.123.0381view →
Green = repressed in tumor. all 7 lineages →

C22orf42-KIRC

Tumor-vs-normal expression box plot for C22orf42 in KIRC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with C22orf42 in patient tissues and cancer cell lines. In patient samples, C22orf42 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, C22orf42 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and SKIN.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA8,468TGCT (3810)view →
Function (RNA)6,624KIRC (2665)view →
Mutation
RNA330SKCM (276)view →
Infiltrating cells5LUSC (2)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,813PANCREAS (153)view →
RNA1,349KIDNEY (284)view →
RNA
RNA1,618SKIN (819)view →
Function (RNA)596SKIN (407)view →
Mutation
Mutation1,441LARGE_INTESTINE (1184)view →
RNA3BLOOD_Leukemia (2)view →