Q-omics provides the consensus-scored BMP7 profile across patient tissues and cancer cell-line models. BMP7 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, BMP7 is differentially expressed in 10, with the highest sampling consensus in KICH. Additionally, BMP7 RNA expression shows 17,259 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, KICH, and LSCC as cancer lineages where BMP7 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 BMP7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BMP7 survival associations across molecular data types. BMP7 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (5) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BMP7 RNA expression–survival associations across cancer types. High BMP7 expression shows unfavorable associations in ACC, UVM and KIRC, but favorable associations in SKCM, CESC and HNSC. 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 BMP7 RNA expression.
This table summarizes BMP7 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 2. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for BMP7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BMP7 shows lower tumor expression in KICH, KIRC, THCA and BRCA and higher tumor expression in COAD and LUSC. The KICH box plot shows higher BMP7 RNA expression in normal versus tumor tissue (log2 FC = −3.336, t-test p < 0.001).
This table shows molecular features associated with BMP7 in patient tissues and cancer cell lines. In patient samples, BMP7 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, BMP7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and BLOOD_Lymphoma.
