Positive regulation of double-strand break repair via homologous recombination

associated omics data
GO:1905168Ontology (GO BP)GO biological process · ~37 member genes

Q-omics provides the Positive regulation of double-strand break repair via homologous recombination (GO:1905168) pathway profile, scoring each patient from the combined activity of its roughly 37 member genes. Pathway activity is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 7, with the highest sampling consensus in KIRC. Additionally, pathway RNA activity shows 36,898 significant cross-omics associations, again with the highest sampling consensus in UCEC. Together, these results highlight HNSC, KIRC, and UCEC 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 Positive regulation of double-strand break repair via homologous recombination survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (25). 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–Meier25HNSC (108)view →
GO function (Protein (mass-spec))Kaplan–Meier6LUAD (34)view →
This table ranks reproducible pathway activity–survival associations across cancer types. High Positive regulation of double-strand break repair via homologous recombination activity shows favorable associations in HNSC and SCLC, but unfavorable associations in KIRC, LIHC, ACC and KICH. In the HNSC Kaplan–Meier curve the low-activity group declines faster, consistent with the favorable association (log-rank p < 0.001). HNSC ranks highest by sampling consensus for Positive regulation of double-strand break repair via homologous recombination.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
HNSCDFSTertileAll0.7860.642<.001108view →
KIRCDFSTertileAll0.5210.691<.00162view →
LIHCDFSQuartileAll0.3790.592<.00161view →
ACCOSQuartileAll0.4250.901.00150view →
KICHDFSQuartileII,III,IV0.2130.788<.00149view →
SCLCDFSTertileII,III,IV0.7810.392.00148view →
Pink = unfavorable, green = favorable. all 25 lineages →

Positive regulation of double-strand break repair via homologous recombination-HNSC (DFS)

Kaplan–Meier survival curve for Positive regulation of double-strand break repair via homologous recombination pathway activity in HNSC: high vs low activity groups.

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Tumor vs Normal activity

This table summarizes Positive regulation of double-strand break repair via homologous recombination tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 7 cancer types, while mass-spec protein activity shows differences in 4. The strongest signals are in KIRC for RNA and COAD for protein.
Data typeActivity analysisLineage consensusLineage of highest sampling consensus
GO function (RNA)Box plot7KIRC (11)view →
GO function (Protein (mass-spec))Box plot4COAD (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 KIRC, LIHC, CHOL and STAD and lower tumor activity in KICH and THCA. In the KIRC box plot, tumor samples show higher pathway activity than matched normal samples (log2 FC = +0.026, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCAllAll+0.026<.00111view →
KICHFemaleAll−0.056<.0015view →
LIHCAllAll+0.020<.0015view →
THCAFemaleAll−0.028<.0014view →
CHOLAllAll+0.084<.0013view →
STADAllII,III,IV+0.032.0383view →
Pink = higher activity in tumor. all 7 lineages →

Positive regulation of double-strand break repair via homologous recombination-KIRC

Tumor-vs-normal pathway-activity box plot for Positive regulation of double-strand break repair via homologous recombination in KIRC.

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Cross-omics associations

This table shows molecular features associated with Positive regulation of double-strand break repair via homologous recombination 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 UCEC. In cancer cell lines, RNA-expression features and functional dependencies dominate, with the largest set in CNS.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA36,898UCEC (23844)view →
Protein (mass-spec)11,512GBM (3835)view →
Protein (mass-spec)
Protein (mass-spec)21,216GBM (7498)view →
RNA4,291LSCC (1297)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,079CNS (177)view →
RNA1,818LIVER (394)view →
RNA
RNA12,174BLOOD_Leukemia (5148)view →
CRISPR2,361BONE (204)view →
Protein (mass-spec)
Protein (mass-spec)1,914BONE (464)view →
RNA1,811LUNG_SCLC (475)view →
shRNA
shRNA1,910OESOPHAGUS (208)view →
RNA1,624STOMACH (231)view →