IQ motif and Sec7 domain ArfGEF 1Genealiases: ARF-GEP100 · ARFGEP100 · BRAG2 · GEP100 · IDDSSBA
Q-omics provides the consensus-scored IQSEC1 profile across patient tissues and cancer cell-line models. IQSEC1 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, IQSEC1 is differentially expressed in 13, with the highest sampling consensus in LIHC. Additionally, IQSEC1 protein abundance shows 29,835 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight MESO, LIHC, and GBM as cancer lineages where IQSEC1 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 IQSEC1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IQSEC1 survival associations across molecular data types. IQSEC1 RNA expression shows survival associations in the most cancer types (26), 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.
This table ranks reproducible IQSEC1 RNA expression–survival associations across cancer types. High IQSEC1 expression shows unfavorable associations in MESO, LUSC and KICH, but favorable associations in UVM, KIRC and HNSC. The MESO Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify MESO as the clearest survival context for IQSEC1 RNA expression.
This table summarizes IQSEC1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 6. The strongest signals are observed in LIHC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for IQSEC1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IQSEC1 shows lower tumor expression in LUAD, LUSC, UCEC, BRCA and THCA and higher tumor expression in LIHC. The LIHC box plot shows higher IQSEC1 RNA expression in tumor versus normal tissue (log2 FC = +1.561, t-test p < 0.001).
This table shows molecular features associated with IQSEC1 in patient tissues and cancer cell lines. In patient samples, IQSEC1 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, IQSEC1 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 UPPER_AERODIGESTIVE_TRACT and LARGE_INTESTINE.
