Q-omics provides the consensus-scored STX1B profile across patient tissues and cancer cell-line models. STX1B expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, STX1B is differentially expressed in 12, with the highest sampling consensus in THCA. Additionally, STX1B RNA expression shows 17,464 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, THCA, and GBM as cancer lineages where STX1B 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 STX1B — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes STX1B survival associations across molecular data types. STX1B RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3) 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 STX1B RNA expression–survival associations across cancer types. High STX1B expression shows unfavorable associations in KIRC and COAD, but favorable associations in SKCM, SCLC, LIHC and LGG. The KIRC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KIRC as the clearest survival context for STX1B RNA expression.
This table summarizes STX1B tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 1. The strongest signals are observed in THCA for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for STX1B. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. STX1B shows lower tumor expression in KICH, UCEC, BRCA and BLCA and higher tumor expression in THCA and KIRC. The THCA box plot shows higher STX1B RNA expression in tumor versus normal tissue (log2 FC = +0.903, t-test p < 0.001).
This table shows molecular features associated with STX1B in patient tissues and cancer cell lines. In patient samples, STX1B 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, STX1B RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Lymphoma.
