Q-omics provides the consensus-scored PLN profile across patient tissues and cancer cell-line models. PLN expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, PLN is differentially expressed in 16, with the highest sampling consensus in KICH. Additionally, PLN RNA expression shows 22,257 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight UVM, KICH, and LSCC as cancer lineages where PLN 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 PLN — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PLN survival associations across molecular data types. PLN RNA expression shows survival associations in the most cancer types (23), followed by mutation status (4) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PLN RNA expression–survival associations across cancer types. High PLN expression shows unfavorable associations in UVM, KIRP and BLCA, but favorable associations in KIRC, SKCM and LIHC. 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 PLN RNA expression.
This table summarizes PLN 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 2. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for PLN. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PLN shows lower tumor expression in KICH, THCA, BLCA, COAD, KIRP and LUSC. The KICH box plot shows higher PLN RNA expression in normal versus tumor tissue (log2 FC = −3.006, t-test p < 0.001).
This table shows molecular features associated with PLN in patient tissues and cancer cell lines. In patient samples, PLN shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, PLN RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and SKIN.
