inositol polyphosphate-4-phosphatase type I AGenealiases: INPP4 · NEDGQS · TVAS1
Q-omics provides the consensus-scored INPP4A profile across patient tissues and cancer cell-line models. INPP4A expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, INPP4A is differentially expressed in 7, with the highest sampling consensus in HNSC. Additionally, INPP4A protein abundance shows 36,644 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRP, HNSC, and GBM as cancer lineages where INPP4A 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 INPP4A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes INPP4A survival associations across molecular data types. INPP4A RNA expression shows survival associations in the most cancer types (24), followed by mutation status (9) and mass-spec protein abundance (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible INPP4A RNA expression–survival associations across cancer types. High INPP4A expression shows unfavorable associations in KIRP, LIHC, UVM, MESO, ACC and LGG. The KIRP Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify KIRP as the clearest survival context for INPP4A RNA expression.
This table summarizes INPP4A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7, while mass-spec protein shows differences in 13. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for INPP4A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. INPP4A shows higher tumor expression in HNSC, LIHC, THCA, KIRC, CHOL and ESCA. The HNSC box plot shows higher INPP4A RNA expression in tumor versus normal tissue (log2 FC = +1.121, t-test p < 0.001).
This table shows molecular features associated with INPP4A in patient tissues and cancer cell lines. In patient samples, INPP4A 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, INPP4A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
