Q-omics provides the consensus-scored SLC35F2 profile across patient tissues and cancer cell-line models. SLC35F2 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, SLC35F2 is differentially expressed in 15, with the highest sampling consensus in THCA. Additionally, SLC35F2 RNA expression shows 17,705 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight KIRP, and THCA as cancer lineages where SLC35F2 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 SLC35F2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SLC35F2 survival associations across molecular data types. SLC35F2 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (5) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SLC35F2 RNA expression–survival associations across cancer types. High SLC35F2 expression shows unfavorable associations in KIRP, ACC, LUSC, PAAD and CESC, but favorable associations in READ. The KIRP 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 KIRP as the clearest survival context for SLC35F2 RNA expression.
This table summarizes SLC35F2 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 2. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for SLC35F2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SLC35F2 shows higher tumor expression in THCA, KIRP, LUAD, STAD, BLCA and HNSC. The THCA box plot shows higher SLC35F2 RNA expression in tumor versus normal tissue (log2 FC = +1.884, t-test p < 0.001).
This table shows molecular features associated with SLC35F2 in patient tissues and cancer cell lines. In patient samples, SLC35F2 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, SLC35F2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in OVARY and BLOOD_Lymphoma.
