round spermatid basic protein 1Genealiases: KDM9 · ROSBIN
Q-omics provides the consensus-scored RSBN1 profile across patient tissues and cancer cell-line models. RSBN1 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, RSBN1 is differentially expressed in 10, with the highest sampling consensus in KICH. Additionally, RSBN1 protein abundance shows 23,712 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, KICH, and GBM as cancer lineages where RSBN1 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 RSBN1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RSBN1 survival associations across molecular data types. RSBN1 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (7) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RSBN1 RNA expression–survival associations across cancer types. High RSBN1 expression shows unfavorable associations in LGG, but favorable associations in KIRC, HNSC, BRCA, THYM and ACC. 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 RSBN1 RNA expression.
This table summarizes RSBN1 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 8. The strongest signals are observed in THCA for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for RSBN1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RSBN1 shows lower tumor expression in KICH, THCA, LUAD, LUSC, COAD and UCEC. The KICH box plot shows higher RSBN1 RNA expression in normal versus tumor tissue (log2 FC = −1.308, t-test p < 0.001).
This table shows molecular features associated with RSBN1 in patient tissues and cancer cell lines. In patient samples, RSBN1 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, RSBN1 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_Leukemia.
