Q-omics provides the consensus-scored LINS1 profile across patient tissues and cancer cell-line models. LINS1 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, LINS1 is differentially expressed in 12, with the highest sampling consensus in THCA. Additionally, LINS1 protein abundance shows 21,789 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight ACC, THCA, and PDAC as cancer lineages where LINS1 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 LINS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LINS1 survival associations across molecular data types. LINS1 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (6) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LINS1 RNA expression–survival associations across cancer types. High LINS1 expression shows unfavorable associations in ACC, KICH, UVM and LIHC, but favorable associations in BRCA and THCA. The ACC 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 ACC as the clearest survival context for LINS1 RNA expression.
This table summarizes LINS1 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 5. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for LINS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LINS1 shows lower tumor expression in THCA and KICH and higher tumor expression in KIRC, HNSC, LIHC and CHOL. The THCA box plot shows higher LINS1 RNA expression in normal versus tumor tissue (log2 FC = −0.671, t-test p < 0.001).
This table shows molecular features associated with LINS1 in patient tissues and cancer cell lines. In patient samples, LINS1 shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, LINS1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in KIDNEY, while CRISPR and shRNA rows add functional-dependency signals in BONE and UPPER_AERODIGESTIVE_TRACT.
