SPANXB1

associated omics data
SPANX family member B1Genealiases: B1 · CT11.2 · SPANX-B · SPANXB · SPANXB2 · SPANXF1

Q-omics provides the consensus-scored SPANXB1 profile across patient tissues and cancer cell-line models. SPANXB1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, SPANXB1 is differentially expressed in 8, with the highest sampling consensus in HNSC. Additionally, SPANXB1 RNA expression shows 10,455 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight LIHC, HNSC, and TGCT as cancer lineages where SPANXB1 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 SPANXB1 survival associations across molecular data types. SPANXB1 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (1) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
SPANXB1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier21LIHC (110)view →
Protein (mass-spec)Kaplan–Meier2LSCC (3)view →
MutationKaplan–Meier1LIHC (12)view →
This table ranks reproducible SPANXB1 RNA expression–survival associations across cancer types. High SPANXB1 expression shows unfavorable associations in LIHC, LUAD, STAD, HNSC, COAD and BLCA. The LIHC 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 LIHC as the clearest survival context for SPANXB1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LIHCOSTertileAll0.4480.739<.001110view →
LUADOSMedianII,III,IV0.6080.758<.001103view →
STADDFSTertileII,III,IV0.2100.436<.00179view →
HNSCDFSMedianII,III,IV0.6330.735.00378view →
COADDFSTertileAll0.5180.707.00175view →
BLCADFSQuartileAll0.5090.647.00245view →
Pink = unfavorable, green = favorable. all 21 lineages →

SPANXB1-LIHC (OS)

Kaplan–Meier survival curve for SPANXB1 RNA expression in LIHC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes SPANXB1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 1. The strongest signals are observed in HNSC for RNA and HNSC for protein.
SPANXB1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot8HNSC (9)view →
Protein (mass-spec)Box plot1HNSC (6)view →
This table ranks reproducible tumor–normal expression differences for SPANXB1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SPANXB1 shows lower tumor expression in KICH and KIRC and higher tumor expression in HNSC, BRCA, LIHC and THCA. The HNSC box plot shows higher SPANXB1 RNA expression in tumor versus normal tissue (log2 FC = +1.002, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCAllII,III,IV+1.002<.0019view →
KICHAllAll−0.379<.0016view →
BRCAAllII,III,IV+0.349<.0016view →
KIRCMaleII,III,IV−0.152.0046view →
LIHCAllAll+0.106.0054view →
THCAAllAll+0.030.0043view →
Green = repressed in tumor. all 8 lineages →

SPANXB1-HNSC

Tumor-vs-normal expression box plot for SPANXB1 in HNSC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with SPANXB1 in patient tissues and cancer cell lines. In patient samples, SPANXB1 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, SPANXB1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and CNS.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA10,455TGCT (4534)view →
Function (RNA)6,550LIHC (1981)view →
Protein (mass-spec)
Protein (mass-spec)1,631HNSC (675)view →
RNA1,436LUAD (686)view →
Mutation
RNA105SKCM (69)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,102OVARY (269)view →
RNA1,927LUNG_SCLC (538)view →
RNA
RNA3,181CNS (776)view →
Function (RNA)1,381LARGE_INTESTINE (387)view →
Protein (mass-spec)
Drug33CNS (15)view →
Function (mass-spec)22BLOOD_Leukemia (11)view →