SLC26A5

associated omics data
solute carrier family 26 member 5Genealiases: DFNB61 · PRES

Q-omics provides the consensus-scored SLC26A5 profile across patient tissues and cancer cell-line models. SLC26A5 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SLC26A5 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, SLC26A5 RNA expression shows 17,639 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, HNSC, and UVM as cancer lineages where SLC26A5 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 SLC26A5 survival associations across molecular data types. SLC26A5 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
SLC26A5 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier24KIRC (61)view →
MutationKaplan–Meier8COAD (29)view →
This table ranks reproducible SLC26A5 RNA expression–survival associations across cancer types. High SLC26A5 expression shows unfavorable associations in KIRC and UVM, but favorable associations in LUAD, BLCA, UCS and BRCA. The KIRC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for SLC26A5 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCDFSTertileAll0.5530.737<.00161view →
LUADOSQuartileII,III,IV0.7700.464.00154view →
BLCAOSTertileAll0.7910.636<.00148view →
UCSOSMedianII,III,IV0.6610.241.00540view →
UVMDFSQuartileIII,IV0.1810.801<.00140view →
BRCADFSTertileIII,IV0.9460.812.00129view →
Pink = unfavorable, green = favorable. all 24 lineages →

SLC26A5-KIRC (DFS)

Kaplan–Meier survival curve for SLC26A5 RNA expression in KIRC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes SLC26A5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in HNSC for RNA.
SLC26A5 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11HNSC (8)view →
This table ranks reproducible tumor–normal expression differences for SLC26A5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SLC26A5 shows lower tumor expression in BRCA, KIRC and THCA and higher tumor expression in HNSC, BRCA and PRAD. The HNSC box plot shows higher SLC26A5 RNA expression in tumor versus normal tissue (log2 FC = +0.283, t-test p = .001).
LineageGenderStageFold-changepSampling consensus
HNSCAllIII,IV+0.283.0018view →
BRCAFemaleAll−0.182.0244view →
KIRCAllAll−0.037.0203view →
BRCAAllIV+0.700.0332view →
PRADAllAll+0.465<.0012view →
THCAAllII,III,IV−0.261.0262view →
Green = repressed in tumor. all 11 lineages →

SLC26A5-HNSC

Tumor-vs-normal expression box plot for SLC26A5 in HNSC.

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Cross-omics associations

This table shows molecular features associated with SLC26A5 in patient tissues and cancer cell lines. In patient samples, SLC26A5 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, SLC26A5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA17,639UVM (7063)view →
Protein (mass-spec)17,010LUAD (4949)view →
Mutation
RNA3,715UCEC (3316)view →
Protein (RPPA)44UCEC (39)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,743PANCREAS (137)view →
RNA1,280BLOOD_Leukemia (159)view →
Mutation
Mutation4,562LARGE_INTESTINE (2409)view →
RNA376LARGE_INTESTINE (360)view →
RNA
RNA4,363LUNG_SCLC (1810)view →
Function (RNA)1,437LUNG_SCLC (608)view →
shRNA
shRNA991LUNG_SCLC (147)view →
CRISPR776UPPER_AERODIGESTIVE_TRACT (159)view →