LDL receptor related protein 8Genealiases: APOER2 · HSZ75190 · LRP-8 · MCI1
Q-omics provides the consensus-scored LRP8 profile across patient tissues and cancer cell-line models. LRP8 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, LRP8 is differentially expressed in 16, with the highest sampling consensus in COAD. Additionally, LRP8 RNA expression shows 22,310 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, COAD, and LSCC as cancer lineages where LRP8 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 LRP8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LRP8 survival associations across molecular data types. LRP8 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (6) 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 LRP8 RNA expression–survival associations across cancer types. High LRP8 expression shows unfavorable associations in KIRC, KIRP, ACC, BRCA, UVM and UCEC. The KIRC 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 KIRC as the clearest survival context for LRP8 RNA expression.
This table summarizes LRP8 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 3. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for LRP8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LRP8 shows lower tumor expression in THCA and higher tumor expression in COAD, HNSC, BLCA, STAD and LUSC. The COAD box plot shows higher LRP8 RNA expression in tumor versus normal tissue (log2 FC = +2.501, t-test p < 0.001).
This table shows molecular features associated with LRP8 in patient tissues and cancer cell lines. In patient samples, LRP8 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, LRP8 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 LARGE_INTESTINE and BLOOD_Leukemia.
