Q-omics provides the consensus-scored STX10 profile across patient tissues and cancer cell-line models. STX10 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, STX10 is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, STX10 protein abundance shows 20,002 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, KIRC, and GBM as cancer lineages where STX10 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 STX10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes STX10 survival associations across molecular data types. STX10 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (2) 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 STX10 RNA expression–survival associations across cancer types. High STX10 expression shows unfavorable associations in ACC, KIRC, KICH, LIHC, LGG 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 STX10 RNA expression.
This table summarizes STX10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 10. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for STX10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. STX10 shows higher tumor expression in KIRC, COAD, BLCA, LIHC, HNSC and KIRP. The KIRC box plot shows higher STX10 RNA expression in tumor versus normal tissue (log2 FC = +0.942, t-test p < 0.001).
This table shows molecular features associated with STX10 in patient tissues and cancer cell lines. In patient samples, STX10 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, STX10 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and SOFT_TISSUE.
