Q-omics provides the consensus-scored INPP5F profile across patient tissues and cancer cell-line models. INPP5F expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, INPP5F is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, INPP5F RNA expression shows 20,507 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight KIRC, HNSC, and KIRP as cancer lineages where INPP5F 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 INPP5F — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes INPP5F survival associations across molecular data types. INPP5F RNA expression shows survival associations in the most cancer types (21), followed by mutation status (5) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible INPP5F RNA expression–survival associations across cancer types. High INPP5F expression shows unfavorable associations in LIHC, LAML and UVM, but favorable associations in KIRC, SKCM and MESO. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for INPP5F RNA expression.
This table summarizes INPP5F tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 5. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for INPP5F. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. INPP5F shows lower tumor expression in KICH and KIRP and higher tumor expression in HNSC, LIHC, LUAD and CHOL. The HNSC box plot shows higher INPP5F RNA expression in tumor versus normal tissue (log2 FC = +0.767, t-test p < 0.001).
This table shows molecular features associated with INPP5F in patient tissues and cancer cell lines. In patient samples, INPP5F shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, INPP5F RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUSC and UPPER_AERODIGESTIVE_TRACT.
