SIN3B

associated omics data
SIN3 transcription regulator family member BGenealiases: []

Q-omics provides the consensus-scored SIN3B profile across patient tissues and cancer cell-line models. SIN3B expression is associated with patient survival in 29 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SIN3B is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, SIN3B protein abundance shows 23,423 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, HNSC, and GBM as cancer lineages where SIN3B 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 SIN3B survival associations across molecular data types. SIN3B RNA expression shows survival associations in the most cancer types (29), followed by mutation status (6) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
SIN3B data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier29ACC (75)view →
Protein (mass-spec)Kaplan–Meier7HNSC (30)view →
MutationKaplan–Meier6ESCA (36)view →
This table ranks reproducible SIN3B RNA expression–survival associations across cancer types. High SIN3B expression shows unfavorable associations in ACC, COAD and LGG, but favorable associations in HNSC, UCS and BRCA. The ACC 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 ACC as the clearest survival context for SIN3B RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSMedianAll0.4840.820<.00175view →
COADDFSQuartileAll0.5930.777.00168view →
LGGDFSMedianAll0.2850.489<.00153view →
HNSCDFSMedianIV0.4330.304.00447view →
UCSDFSMedianIV0.9090.416.00830view →
BRCAOSTertileIII,IV0.9150.767.00330view →
Pink = unfavorable, green = favorable. all 29 lineages →

SIN3B-ACC (DFS)

Kaplan–Meier survival curve for SIN3B RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes SIN3B tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 8. The strongest signals are observed in HNSC for RNA and HNSC for protein.
SIN3B data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14HNSC (12)view →
Protein (mass-spec)Box plot8HNSC (8)view →
This table ranks reproducible tumor–normal expression differences for SIN3B. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SIN3B shows higher tumor expression in HNSC, COAD, LIHC, CHOL, STAD and KIRP. The HNSC box plot shows higher SIN3B RNA expression in tumor versus normal tissue (log2 FC = +1.203, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCFemaleIII,IV+1.203<.00112view →
COADFemaleAll+0.665<.00110view →
LIHCFemaleII,III,IV+1.231<.0018view →
CHOLFemaleAll+2.159<.0015view →
STADMaleII,III,IV+0.971.0054view →
KIRPAllIV+0.732.0094view →
Green = repressed in tumor. all 14 lineages →

SIN3B-HNSC

Tumor-vs-normal expression box plot for SIN3B in HNSC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with SIN3B in patient tissues and cancer cell lines. In patient samples, SIN3B shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, SIN3B RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUSC and BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)23,423GBM (10209)view →
RNA15,657GBM (7561)view →
RNA
RNA20,941THYM (8864)view →
Protein (mass-spec)9,670CCRCC (2376)view →
Mutation
RNA6,666UCEC (5086)view →
Protein (RPPA)66UCEC (53)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,108CNS (209)view →
RNA1,459LUNG_NSCLC_LUSC (276)view →
RNA
RNA12,635BLOOD_Leukemia (6278)view →
Function (RNA)4,875BLOOD_Leukemia (1607)view →
Mutation
Mutation6,279BLOOD_Leukemia (3843)view →
RNA546LARGE_INTESTINE (488)view →
shRNA
RNA2,216LUNG_SCLC (916)view →
shRNA1,680LUNG_SCLC (238)view →