Q-omics provides the consensus-scored BIRC2 profile across patient tissues and cancer cell-line models. BIRC2 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, BIRC2 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, BIRC2 protein abundance shows 28,290 significant protein co-abundance associations, with the highest sampling consensus in BRCA. Together, these results highlight ACC, HNSC, and BRCA as cancer lineages where BIRC2 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 BIRC2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BIRC2 survival associations across molecular data types. BIRC2 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) 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 BIRC2 RNA expression–survival associations across cancer types. High BIRC2 expression shows unfavorable associations in ACC, HNSC, UVM, PAAD and LUAD, but favorable associations in UCS. The ACC 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 ACC as the clearest survival context for BIRC2 RNA expression.
This table summarizes BIRC2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 11. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for BIRC2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BIRC2 shows lower tumor expression in KICH and COAD and higher tumor expression in HNSC, KIRC, STAD and LIHC. The HNSC box plot shows higher BIRC2 RNA expression in tumor versus normal tissue (log2 FC = +1.190, t-test p < 0.001).
This table shows molecular features associated with BIRC2 in patient tissues and cancer cell lines. In patient samples, BIRC2 shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set. In cancer cell lines, BIRC2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in LIVER and BREAST.
