Q-omics provides the consensus-scored SLC35E3 profile across patient tissues and cancer cell-line models. SLC35E3 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, SLC35E3 is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, SLC35E3 RNA expression shows 19,950 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and THCA as cancer lineages where SLC35E3 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 SLC35E3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SLC35E3 survival associations across molecular data types. SLC35E3 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (2) 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 SLC35E3 RNA expression–survival associations across cancer types. High SLC35E3 expression shows unfavorable associations in UVM, LIHC, KICH and THCA, but favorable associations in SCLC and BRCA. 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 SLC35E3 RNA expression.
This table summarizes SLC35E3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 1. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for SLC35E3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SLC35E3 shows lower tumor expression in THCA and KICH and higher tumor expression in BLCA, KIRC, HNSC and LIHC. The THCA box plot shows higher SLC35E3 RNA expression in normal versus tumor tissue (log2 FC = −0.678, t-test p < 0.001).
This table shows molecular features associated with SLC35E3 in patient tissues and cancer cell lines. In patient samples, SLC35E3 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, SLC35E3 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 BONE and BLOOD_Leukemia.
