Q-omics provides the consensus-scored RSF1-IT2 profile across patient tissues and cancer cell-line models. RSF1-IT2 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, RSF1-IT2 is differentially expressed in 6, with the highest sampling consensus in STAD. Additionally, RSF1-IT2 RNA expression shows 13,882 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UCEC, STAD, and UVM as cancer lineages where RSF1-IT2 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 RSF1-IT2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RSF1-IT2 survival associations across molecular data types. RSF1-IT2 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RSF1-IT2 RNA expression–survival associations across cancer types. High RSF1-IT2 expression shows unfavorable associations in UCEC, KIRC, ACC and BLCA, but favorable associations in STAD and LUSC. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify UCEC as the clearest survival context for RSF1-IT2 RNA expression.
This table summarizes RSF1-IT2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for RSF1-IT2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RSF1-IT2 shows higher tumor expression in STAD, HNSC, CHOL, THCA, LUAD and LUSC. The STAD box plot shows higher RSF1-IT2 RNA expression in tumor versus normal tissue (log2 FC = +0.271, t-test p = .005).
This table shows molecular features associated with RSF1-IT2 in patient tissues and cancer cell lines. In patient samples, RSF1-IT2 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
