IQ motif containing B2 pseudogeneGenealiases: IQCB1P1 · dJ313I6.1
Q-omics provides the consensus-scored IQCB2P profile across patient tissues and cancer cell-line models. IQCB2P expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, IQCB2P is differentially expressed in 6, with the highest sampling consensus in COAD. Additionally, IQCB2P RNA expression shows 8,326 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight LIHC, COAD, and THYM as cancer lineages where IQCB2P 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.
Premium analyses for IQCB2P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IQCB2P survival associations across molecular data types. IQCB2P RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IQCB2P RNA expression–survival associations across cancer types. High IQCB2P expression shows unfavorable associations in LIHC, STAD, DLBC, LUAD and LUSC, but favorable associations in READ. 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 IQCB2P RNA expression.
This table summarizes IQCB2P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for IQCB2P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IQCB2P shows lower tumor expression in UCEC and KIRC and higher tumor expression in COAD, HNSC, BRCA and KIRP. The COAD box plot shows higher IQCB2P RNA expression in tumor versus normal tissue (log2 FC = +0.064, t-test p = .001).
This table shows molecular features associated with IQCB2P in patient tissues and cancer cell lines. In patient samples, IQCB2P shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
