Nephron tubule epithelial cell differentiation

associated omics data
GO:0072160Ontology (GO BP)GO biological process · ~14 member genes

Q-omics provides the Nephron tubule epithelial cell differentiation (GO:0072160) pathway profile, scoring each patient from the combined activity of its roughly 14 member genes. Pathway activity is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in ESCA. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 10, with the highest sampling consensus in KICH. Additionally, pathway RNA activity shows 35,577 significant cross-omics associations, again with the highest sampling consensus in STAD. Together, these results highlight ESCA, KICH, 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 Nephron tubule epithelial cell differentiation survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (18). 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–Meier18ESCA (64)view →
GO function (Protein (mass-spec))Kaplan–Meier6PDAC (55)view →
This table ranks reproducible pathway activity–survival associations across cancer types. High Nephron tubule epithelial cell differentiation activity shows favorable associations in ESCA, LUAD, SKCM and UCS, but unfavorable associations in ACC and PAAD. In the ESCA Kaplan–Meier curve the low-activity group declines faster, consistent with the favorable association (log-rank p < 0.001). ESCA ranks highest by sampling consensus for Nephron tubule epithelial cell differentiation.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ESCAOSTertileII,III,IV0.8500.570<.00164view →
ACCDFSTertileIV0.0910.679.00141view →
PAADOSTertileAll0.3420.596.00133view →
LUADDFSTertileIII,IV0.4640.208.01032view →
SKCMDFSQuartileAll0.3890.171<.00127view →
UCSDFSTertileIV0.8140.250.02424view →
Pink = unfavorable, green = favorable. all 18 lineages →

Tumor vs Normal activity

This table summarizes Nephron tubule epithelial cell differentiation tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 10 cancer types, while mass-spec protein activity shows differences in 4. The strongest signals are in KIRC for RNA and LSCC for protein.
Data typeActivity analysisLineage consensusLineage of highest sampling consensus
GO function (RNA)Box plot10KIRC (10)view →
GO function (Protein (mass-spec))Box plot4LSCC (6)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 THCA and lower tumor activity in KICH, KIRC, HNSC, BRCA and KIRP. In the KICH box plot, normal samples show higher pathway activity than tumor samples (log2 FC = −0.157, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHMaleAll−0.157<.00110view →
KIRCAllIII,IV−0.051<.00110view →
HNSCAllIII,IV−0.057<.0018view →
BRCAAllIII,IV−0.108<.0016view →
KIRPMaleAll−0.077<.0016view →
THCAFemaleII,III,IV+0.077<.0016view →
Pink = higher activity in tumor. all 10 lineages →

Cross-omics associations

This table shows molecular features associated with Nephron tubule epithelial cell differentiation 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 BREAST.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA35,577STAD (20430)view →
Protein (mass-spec)7,445BRCA (1853)view →
Protein (mass-spec)
Protein (mass-spec)13,547GBM (3678)view →
RNA3,724GBM (2533)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
shRNA
RNA2,411BREAST (492)view →
shRNA2,077SOFT_TISSUE (364)view →