Q-omics provides the consensus-scored ITGB1-DT profile across patient tissues and cancer cell-line models. ITGB1-DT expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, ITGB1-DT is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, ITGB1-DT RNA expression shows 15,917 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, HNSC, and ACC as cancer lineages where ITGB1-DT 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 ITGB1-DT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ITGB1-DT survival associations across molecular data types. ITGB1-DT RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ITGB1-DT RNA expression–survival associations across cancer types. High ITGB1-DT expression shows unfavorable associations in KIRC, LUAD, COAD, HNSC, STAD and LUSC. The KIRC 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 KIRC as the clearest survival context for ITGB1-DT RNA expression.
This table summarizes ITGB1-DT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for ITGB1-DT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ITGB1-DT shows higher tumor expression in HNSC, LUAD, COAD, KIRC, LIHC and KIRP. The HNSC box plot shows higher ITGB1-DT RNA expression in tumor versus normal tissue (log2 FC = +1.062, t-test p < 0.001).
This table shows molecular features associated with ITGB1-DT in patient tissues and cancer cell lines. In patient samples, ITGB1-DT shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
