ACTR1A

associated omics data
actin related protein 1AGenealiases: ARP1 · Arp1A · CTRN1

Q-omics provides the consensus-scored ACTR1A profile across patient tissues and cancer cell-line models. ACTR1A expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, ACTR1A is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, ACTR1A protein abundance shows 32,781 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight ACC, and HNSC as cancer lineages where ACTR1A 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 ACTR1A survival associations across molecular data types. ACTR1A RNA expression shows survival associations in the most cancer types (26), followed by mutation status (4) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
ACTR1A data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier26ACC (89)view →
Protein (mass-spec)Kaplan–Meier6CCRCC (30)view →
MutationKaplan–Meier4COAD (24)view →
This table ranks reproducible ACTR1A RNA expression–survival associations across cancer types. High ACTR1A expression shows unfavorable associations in ACC, BLCA, LIHC and LAML, but favorable associations in SCLC and LGG. The ACC 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 ACC as the clearest survival context for ACTR1A RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSMedianAll0.2550.652<.00189view →
SCLCOSQuartileAll0.5650.151.00175view →
LGGDFSMedianAll0.4830.280<.00151view →
BLCAOSQuartileAll0.3360.797<.00144view →
LIHCOSQuartileAll0.6400.851<.00132view →
LAMLDFSMedianAll0.3500.553.00230view →
Pink = unfavorable, green = favorable. all 26 lineages →

ACTR1A-ACC (DFS)

Kaplan–Meier survival curve for ACTR1A RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes ACTR1A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 7. The strongest signals are observed in HNSC for RNA and COAD for protein.
ACTR1A data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot13HNSC (10)view →
Protein (mass-spec)Box plot7COAD (11)view →
This table ranks reproducible tumor–normal expression differences for ACTR1A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ACTR1A shows lower tumor expression in COAD and KICH and higher tumor expression in HNSC, LIHC, KIRP and BRCA. The HNSC box plot shows higher ACTR1A RNA expression in tumor versus normal tissue (log2 FC = +0.683, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCFemaleIV+0.683<.00110view →
LIHCFemaleII,III,IV+1.207<.0019view →
KIRPAllII,III,IV+0.475.0019view →
COADAllII,III,IV−0.225.0019view →
KICHMaleAll−0.944<.0017view →
BRCAAllII,III,IV+0.163.0076view →
Green = repressed in tumor. all 13 lineages →

ACTR1A-HNSC

Tumor-vs-normal expression box plot for ACTR1A in HNSC.

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Cross-omics associations

This table shows molecular features associated with ACTR1A in patient tissues and cancer cell lines. In patient samples, ACTR1A shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set. In cancer cell lines, ACTR1A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)32,781HNSC (10853)view →
RNA16,185LSCC (8062)view →
RNA
RNA18,663ACC (10005)view →
Protein (mass-spec)13,411GBM (6694)view →
Mutation
RNA1,871UCEC (1790)view →
Protein (RPPA)23UCEC (23)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
RNA3,541URINARY_TRACT (666)view →
CRISPR2,355LUNG_SCLC (185)view →
RNA
RNA11,309BLOOD_Leukemia (5545)view →
Function (RNA)4,157BLOOD_Leukemia (1226)view →
Mutation
Mutation3,044LARGE_INTESTINE (3036)view →
RNA5LARGE_INTESTINE (5)view →
Protein (mass-spec)
RNA2,787URINARY_TRACT (466)view →
Protein (mass-spec)2,308CNS (1055)view →