Q-omics provides the consensus-scored TMSB10 profile across patient tissues and cancer cell-line models. TMSB10 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, TMSB10 is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, TMSB10 protein abundance shows 31,296 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, KIRC, and LSCC as cancer lineages where TMSB10 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 TMSB10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TMSB10 survival associations across molecular data types. TMSB10 RNA expression shows survival associations in the most cancer types (25), followed by mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TMSB10 RNA expression–survival associations across cancer types. High TMSB10 expression shows unfavorable associations in ACC, LUAD, LGG, HNSC, LIHC and 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 TMSB10 RNA expression.
This table summarizes TMSB10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 12. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for TMSB10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TMSB10 shows higher tumor expression in KIRC, HNSC, KIRP, THCA, COAD and LIHC. The KIRC box plot shows higher TMSB10 RNA expression in tumor versus normal tissue (log2 FC = +2.341, t-test p < 0.001).
This table shows molecular features associated with TMSB10 in patient tissues and cancer cell lines. In patient samples, TMSB10 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, TMSB10 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BLOOD_Lymphoma.
