LIM domain containing preferred translocation partner in lipomaGenealiases: []
Q-omics provides the consensus-scored LPP profile across patient tissues and cancer cell-line models. LPP expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, LPP is differentially expressed in 15, with the highest sampling consensus in THCA. Additionally, LPP protein abundance shows 30,179 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight KIRC, THCA, and LUAD as cancer lineages where LPP 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 LPP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LPP survival associations across molecular data types. LPP RNA expression shows survival associations in the most cancer types (25), followed by mutation status (4) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LPP RNA expression–survival associations across cancer types. High LPP expression shows unfavorable associations in LGG, MESO, CESC and KICH, but favorable associations in KIRC and SKCM. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for LPP RNA expression.
This table summarizes LPP 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 7. The strongest signals are observed in THCA for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for LPP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LPP shows lower tumor expression in THCA, COAD, BLCA and UCEC and higher tumor expression in HNSC and LIHC. The THCA box plot shows higher LPP RNA expression in normal versus tumor tissue (log2 FC = −1.116, t-test p < 0.001).
This table shows molecular features associated with LPP in patient tissues and cancer cell lines. In patient samples, LPP shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, LPP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LIVER and BLOOD_Leukemia.
