SLC5A1

associated omics data
solute carrier family 5 member 1Genealiases: D22S675 · NAGT · SGLT-1 · SGLT1

Q-omics provides the consensus-scored SLC5A1 profile across patient tissues and cancer cell-line models. SLC5A1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SLC5A1 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, SLC5A1 RNA expression shows 12,331 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, HNSC, and TGCT as cancer lineages where SLC5A1 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics 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.

Survival associations

This table summarizes SLC5A1 survival associations across molecular data types. SLC5A1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (11) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
SLC5A1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23KIRC (150)view →
MutationKaplan–Meier11HNSC (21)view →
Protein (mass-spec)Kaplan–Meier3CCRCC (17)view →
This table ranks reproducible SLC5A1 RNA expression–survival associations across cancer types. High SLC5A1 expression shows unfavorable associations in BLCA, but favorable associations in KIRC, STAD, ESCA, UCEC and HNSC. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for SLC5A1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCOSMedianAll0.6970.558<.001150view →
BLCADFSMedianAll0.5450.676<.00192view →
STADDFSQuartileAll0.6710.430<.00177view →
ESCADFSQuartileII,III,IV0.5760.297.00234view →
UCECDFSMedianAll0.7710.551.00134view →
HNSCOSMedianIII,IV0.7150.598.02026view →
Pink = unfavorable, green = favorable. all 23 lineages →

SLC5A1-KIRC (OS)

Kaplan–Meier survival curve for SLC5A1 RNA expression in KIRC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes SLC5A1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 2. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
SLC5A1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot12HNSC (12)view →
Protein (mass-spec)Box plot2CCRCC (12)view →
This table ranks reproducible tumor–normal expression differences for SLC5A1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SLC5A1 shows lower tumor expression in HNSC, LUAD, LIHC and BRCA and higher tumor expression in KIRC and COAD. The HNSC box plot shows higher SLC5A1 RNA expression in normal versus tumor tissue (log2 FC = −2.011, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCMaleII,III,IV−2.011<.00112view →
KIRCAllAll+1.652<.00110view →
LUADMaleIII,IV−1.928<.0018view →
LIHCMaleAll−1.336<.0017view →
COADMaleAll+1.072<.0017view →
BRCAFemaleII,III,IV−1.517<.0016view →
Green = repressed in tumor. all 12 lineages →

SLC5A1-HNSC

Tumor-vs-normal expression box plot for SLC5A1 in HNSC.

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Cross-omics associations

This table shows molecular features associated with SLC5A1 in patient tissues and cancer cell lines. In patient samples, SLC5A1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, SLC5A1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA12,331TGCT (3519)view →
Protein (mass-spec)11,073CCRCC (2977)view →
Protein (mass-spec)
Protein (mass-spec)6,385CCRCC (2972)view →
RNA2,240CCRCC (689)view →
Mutation
RNA3,833UCEC (3435)view →
Protein (RPPA)33UCEC (26)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,959LUNG_NSCLC_LUAD (195)view →
RNA1,688URINARY_TRACT (362)view →
RNA
RNA5,823LARGE_INTESTINE (1960)view →
Function (RNA)2,229LARGE_INTESTINE (1016)view →
Mutation
Mutation2,894LARGE_INTESTINE (1138)view →
RNA17BLOOD_Leukemia (7)view →
shRNA
RNA1,894LUNG_NSCLC_LUAD (321)view →
shRNA1,803SKIN (164)view →