Negative regulation of double-strand break repair via nonhomologous end joining

associated omics data
GO:2001033Ontology (GO BP)GO biological process · ~7 member genes

Q-omics provides the Negative regulation of double-strand break repair via nonhomologous end joining (GO:2001033) pathway profile, scoring each patient from the combined activity of its roughly 7 member genes. Pathway activity is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 11, with the highest sampling consensus in HNSC. Additionally, pathway RNA activity shows 34,127 significant cross-omics associations, again with the highest sampling consensus in STAD. Together, these results highlight COAD, HNSC, and STAD as cancer lineages where the pathway shows reproducible signals across outcome, tissue activity, and molecular association 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. Pathway-against-pathway and pathway-against-mutation comparisons are not available for ontology entities.

Survival associations

This table summarizes Negative regulation of double-strand break repair via nonhomologous end joining survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each layer.
Data typeSurvival analysisLineage consensusLineage of highest sampling consensus
GO function (RNA)Kaplan–Meier23COAD (54)view →
GO function (Protein (mass-spec))Kaplan–Meier6CCRCC (16)view →
This table ranks reproducible pathway activity–survival associations across cancer types. High Negative regulation of double-strand break repair via nonhomologous end joining activity shows favorable associations in KIRP and DLBC, but unfavorable associations in COAD, BRCA, CESC and BLCA. In the COAD Kaplan–Meier curve the high-activity group declines faster, consistent with the unfavorable association (log-rank p = .001). COAD ranks highest by sampling consensus for Negative regulation of double-strand break repair via nonhomologous end joining.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
COADOSTertileIV0.1870.854.00154view →
KIRPOSMedianAll0.9080.607.00430view →
BRCAOSMedianII,III,IV0.5000.617.01528view →
CESCOSQuartileIII,IV0.4100.804.01822view →
BLCAOSQuartileII,III,IV0.6320.781.00722view →
DLBCOSMedianAll1.0000.736.00421view →
Pink = unfavorable, green = favorable. all 23 lineages →

Negative regulation of double-strand break repair via nonhomologous end joining-COAD (OS)

Kaplan–Meier survival curve for Negative regulation of double-strand break repair via nonhomologous end joining pathway activity in COAD: high vs low activity groups.

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Tumor vs Normal activity

This table summarizes Negative regulation of double-strand break repair via nonhomologous end joining tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 11 cancer types, while mass-spec protein activity shows differences in 5. The strongest signals are in HNSC for RNA and HNSC for protein.
Data typeActivity analysisLineage consensusLineage of highest sampling consensus
GO function (RNA)Box plot11HNSC (12)view →
GO function (Protein (mass-spec))Box plot5HNSC (11)view →
This table ranks reproducible tumor–normal activity differences for the pathway. A positive fold-change indicates higher activity in tumor tissue. The pathway shows higher tumor activity across HNSC, KIRC, BLCA, KICH and BRCA and lower tumor activity in KIRP. In the HNSC box plot, tumor samples show higher pathway activity than matched normal samples (log2 FC = +0.060, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCFemaleAll+0.060<.00112view →
KIRCAllIII,IV+0.035<.00111view →
KIRPAllIV−0.072<.0019view →
BLCAMaleIII,IV+0.090<.0018view →
KICHFemaleII,III,IV+0.074<.0018view →
BRCAAllAll+0.020<.0016view →
Pink = higher activity in tumor. all 11 lineages →

Negative regulation of double-strand break repair via nonhomologous end joining-HNSC

Tumor-vs-normal pathway-activity box plot for Negative regulation of double-strand break repair via nonhomologous end joining in HNSC.

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Cross-omics associations

This table shows molecular features associated with Negative regulation of double-strand break repair via nonhomologous end joining pathway activity in patient tissues and cancer cell lines. In patient samples, pathway activity is most strongly linked to RNA and protein features, with the largest associated set in STAD. In cancer cell lines, RNA-expression features and functional dependencies dominate, with the largest set in LUNG_SCLC.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA34,127STAD (17788)view →
Protein (mass-spec)13,353LSCC (4594)view →
Protein (mass-spec)
Protein (mass-spec)13,658HNSC (3159)view →
RNA2,497LSCC (830)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,088LUNG_SCLC (185)view →
RNA2,017LUNG_SCLC (369)view →
RNA
RNA5,207LARGE_INTESTINE (1469)view →
CRISPR2,019BLOOD_Lymphoma (160)view →
shRNA
shRNA1,335BREAST (139)view →
CRISPR1,060BREAST (123)view →
Protein (mass-spec)
RNA1,329LARGE_INTESTINE (225)view →
CRISPR1,279BLOOD_Lymphoma (123)view →