Q-omics provides the consensus-scored THBS1 profile across patient tissues and cancer cell-line models. THBS1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, THBS1 is differentially expressed in 9, with the highest sampling consensus in KICH. Additionally, THBS1 RNA expression shows 21,843 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight UVM, KICH, and LSCC as cancer lineages where THBS1 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 THBS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes THBS1 survival associations across molecular data types. THBS1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (10) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible THBS1 RNA expression–survival associations across cancer types. High THBS1 expression shows unfavorable associations in UVM, ACC, BLCA, MESO, LUSC and STAD. The UVM 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 UVM as the clearest survival context for THBS1 RNA expression.
This table summarizes THBS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 7. The strongest signals are observed in KICH for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for THBS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. THBS1 shows lower tumor expression in KICH, UCEC, LIHC and KIRP and higher tumor expression in HNSC and BRCA. The KICH box plot shows higher THBS1 RNA expression in normal versus tumor tissue (log2 FC = −3.828, t-test p < 0.001).
This table shows molecular features associated with THBS1 in patient tissues and cancer cell lines. In patient samples, THBS1 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, THBS1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and BONE.
