apolipoprotein B receptorGenealiases: APOB100R · APOB48R
Q-omics provides the consensus-scored APOBR profile across patient tissues and cancer cell-line models. APOBR expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, APOBR is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, APOBR protein abundance shows 24,439 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight HNSC, KIRC, and LSCC as cancer lineages where APOBR 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 APOBR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes APOBR survival associations across molecular data types. APOBR RNA expression shows survival associations in the most cancer types (25), followed by mutation status (2) 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 APOBR RNA expression–survival associations across cancer types. High APOBR expression shows unfavorable associations in UVM, ACC and LGG, but favorable associations in HNSC, UCEC and SKCM. The HNSC 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 HNSC as the clearest survival context for APOBR RNA expression.
This table summarizes APOBR tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for APOBR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. APOBR shows lower tumor expression in COAD and LUAD and higher tumor expression in KIRC, KIRP, STAD and HNSC. The KIRC box plot shows higher APOBR RNA expression in tumor versus normal tissue (log2 FC = +1.773, t-test p < 0.001).
This table shows molecular features associated with APOBR in patient tissues and cancer cell lines. In patient samples, APOBR 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, APOBR RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
