Positive regulation of epithelial cell proliferation involved in wound healing

associated omics data
GO:0060054Ontology (GO BP)GO biological process · ~10 member genes

Q-omics provides the Positive regulation of epithelial cell proliferation involved in wound healing (GO:0060054) pathway profile, scoring each patient from the combined activity of its roughly 10 member genes. Pathway activity is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 12, with the highest sampling consensus in KIRC. Additionally, pathway RNA activity shows 33,182 significant cross-omics associations, again with the highest sampling consensus in STAD. Together, these results highlight LIHC, KIRC, 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 Positive regulation of epithelial cell proliferation involved in wound healing survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (21). 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–Meier21LIHC (60)view →
GO function (Protein (mass-spec))Kaplan–Meier6LUAD (30)view →
This table ranks reproducible pathway activity–survival associations across cancer types. High Positive regulation of epithelial cell proliferation involved in wound healing activity shows favorable associations in LIHC, MESO and LUAD, but unfavorable associations in LAML, PAAD and KIRP. In the LIHC Kaplan–Meier curve the low-activity group declines faster, consistent with the favorable association (log-rank p < 0.001). LIHC ranks highest by sampling consensus for Positive regulation of epithelial cell proliferation involved in wound healing.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LIHCOSTertileAll0.8110.575<.00160view →
LAMLDFSMedianAll0.4500.681<.00142view →
MESOOSTertileIII,IV0.6940.411.01031view →
PAADDFSMedianAll0.1650.379<.00127view →
KIRPOSQuartileAll0.5740.893.00726view →
LUADDFSTertileIV0.8760.139.01118view →
Pink = unfavorable, green = favorable. all 21 lineages →

Positive regulation of epithelial cell proliferation involved in wound healing-LIHC (OS)

Kaplan–Meier survival curve for Positive regulation of epithelial cell proliferation involved in wound healing pathway activity in LIHC: high vs low activity groups.

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Tumor vs Normal activity

This table summarizes Positive regulation of epithelial cell proliferation involved in wound healing tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 12 cancer types, while mass-spec protein activity shows differences in 2. The strongest signals are in KIRC for RNA and HNSC for protein.
Data typeActivity analysisLineage consensusLineage of highest sampling consensus
GO function (RNA)Box plot12KIRC (12)view →
GO function (Protein (mass-spec))Box plot2HNSC (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, KIRP, THCA, COAD and HNSC and lower tumor activity in LIHC. In the KIRC box plot, tumor samples show higher pathway activity than matched normal samples (log2 FC = +0.113, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCFemaleAll+0.113<.00112view →
KIRPAllIII,IV+0.189<.00111view →
THCAAllII,III,IV+0.105<.00111view →
COADMaleAll+0.062<.00110view →
LIHCAllII,III,IV−0.097<.0018view →
HNSCMaleIII,IV+0.106.0027view →
Pink = higher activity in tumor. all 12 lineages →

Positive regulation of epithelial cell proliferation involved in wound healing-KIRC

Tumor-vs-normal pathway-activity box plot for Positive regulation of epithelial cell proliferation involved in wound healing in KIRC.

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Cross-omics associations

This table shows molecular features associated with Positive regulation of epithelial cell proliferation involved in wound healing 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 SOFT_TISSUE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA33,182STAD (10219)view →
Protein (mass-spec)9,084GBM (2241)view →
Protein (mass-spec)
Protein (mass-spec)15,133LUAD (3683)view →
RNA4,577LUAD (1732)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,388SOFT_TISSUE (115)view →
RNA977OVARY (128)view →
RNA
RNA5,976BLOOD_Leukemia (2911)view →
shRNA1,467BLOOD_Leukemia (295)view →
shRNA
shRNA1,712BREAST (222)view →
CRISPR1,595BLOOD_Leukemia (135)view →