Q-omics provides the consensus-scored LSR profile across patient tissues and cancer cell-line models. LSR expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, LSR is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, LSR RNA expression shows 17,727 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight ACC, HNSC, and KIRP as cancer lineages where LSR 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 LSR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LSR survival associations across molecular data types. LSR RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LSR RNA expression–survival associations across cancer types. High LSR expression shows unfavorable associations in ACC, HNSC, LUAD and LIHC, but favorable associations in LUSC and KIRC. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify ACC as the clearest survival context for LSR RNA expression.
This table summarizes LSR tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 6. The strongest signals are observed in HNSC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for LSR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LSR shows higher tumor expression in HNSC, THCA, LUAD, STAD, BLCA and LUSC. The HNSC box plot shows higher LSR RNA expression in tumor versus normal tissue (log2 FC = +1.636, t-test p < 0.001).
This table shows molecular features associated with LSR in patient tissues and cancer cell lines. In patient samples, LSR 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, LSR RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and SOFT_TISSUE.
