Calcium ion import into sarcoplasmic reticulum

associated omics data
GO:1990036Ontology (GO BP)GO biological process · ~6 member genes

Q-omics provides the Calcium ion import into sarcoplasmic reticulum (GO:1990036) pathway profile, scoring each patient from the combined activity of its roughly 6 member genes. Pathway activity is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 12, with the highest sampling consensus in COAD. Additionally, pathway RNA activity shows 29,280 significant cross-omics associations, again with the highest sampling consensus in THYM. Together, these results highlight KIRC, COAD, and THYM 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 Calcium ion import into sarcoplasmic reticulum survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (20). 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–Meier20KIRC (56)view →
GO function (Protein (mass-spec))Kaplan–Meier5CCRCC (30)view →
This table ranks reproducible pathway activity–survival associations across cancer types. High Calcium ion import into sarcoplasmic reticulum activity shows favorable associations in KIRC and ACC, but unfavorable associations in SKCM, LIHC, UCEC and READ. In the KIRC Kaplan–Meier curve the low-activity group declines faster, consistent with the favorable association (log-rank p = .001). KIRC ranks highest by sampling consensus for Calcium ion import into sarcoplasmic reticulum.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCDFSQuartileAll0.7730.552.00156view →
SKCMOSTertileIV0.2070.702.00638view →
LIHCOSMedianAll0.7070.849<.00135view →
UCECDFSMedianAll0.5730.727.00232view →
ACCDFSMedianAll0.6870.482.01428view →
READOSTertileAll0.4840.818.01314view →
Pink = unfavorable, green = favorable. all 20 lineages →

Tumor vs Normal activity

This table summarizes Calcium ion import into sarcoplasmic reticulum tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 12 cancer types. The strongest signals are in COAD for RNA.
Data typeActivity analysisLineage consensusLineage of highest sampling consensus
GO function (RNA)Box plot12COAD (9)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 and lower tumor activity in COAD, BLCA, LUSC, STAD and READ. In the COAD box plot, normal samples show higher pathway activity than tumor samples (log2 FC = −0.163, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleAll−0.163<.0019view →
BLCAAllAll−0.103.0038view →
LUSCAllIII,IV−0.208<.0017view →
STADAllII,III,IV−0.150<.0017view →
KIRCAllAll+0.082<.0017view →
READAllAll−0.229<.0015view →
Pink = higher activity in tumor. all 12 lineages →

Cross-omics associations

This table shows molecular features associated with Calcium ion import into sarcoplasmic reticulum 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 THYM. In cancer cell lines, RNA-expression features and functional dependencies dominate, with the largest set in BONE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA29,280THYM (13376)view →
Protein (mass-spec)12,673CCRCC (3806)view →
Protein (mass-spec)
Protein (mass-spec)16,305PDAC (4079)view →
RNA2,616PDAC (1645)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
shRNA
RNA1,081BONE (520)view →
shRNA1,019BONE (281)view →
RNA
Inducing drug5NCI60_ALL (5)view →