Q-omics provides the consensus-scored OSTF1 profile across patient tissues and cancer cell-line models. OSTF1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, OSTF1 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, OSTF1 protein abundance shows 25,834 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UCEC, KIRC, and GBM as cancer lineages where OSTF1 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 OSTF1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OSTF1 survival associations across molecular data types. OSTF1 RNA expression shows survival associations in the most cancer types (23), 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 OSTF1 RNA expression–survival associations across cancer types. High OSTF1 expression shows unfavorable associations in ACC, LGG and HNSC, but favorable associations in UCEC, KIRC and CHOL. The UCEC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify UCEC as the clearest survival context for OSTF1 RNA expression.
This table summarizes OSTF1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 7. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for OSTF1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OSTF1 shows lower tumor expression in LUAD and higher tumor expression in KIRC, HNSC, UCEC, THCA and BRCA. The KIRC box plot shows higher OSTF1 RNA expression in tumor versus normal tissue (log2 FC = +0.418, t-test p < 0.001).
This table shows molecular features associated with OSTF1 in patient tissues and cancer cell lines. In patient samples, OSTF1 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, OSTF1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BONE.
