Q-omics provides the consensus-scored GRPEL2 profile across patient tissues and cancer cell-line models. GRPEL2 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, GRPEL2 is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, GRPEL2 RNA expression shows 19,574 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight LIHC, COAD, and UVM as cancer lineages where GRPEL2 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 GRPEL2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GRPEL2 survival associations across molecular data types. GRPEL2 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (1) 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 GRPEL2 RNA expression–survival associations across cancer types. High GRPEL2 expression shows unfavorable associations in LIHC, KIRP, UCEC, SCLC and UVM, but favorable associations in READ. The LIHC 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 LIHC as the clearest survival context for GRPEL2 RNA expression.
This table summarizes GRPEL2 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 4. The strongest signals are observed in KIRC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for GRPEL2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GRPEL2 shows lower tumor expression in THCA and higher tumor expression in COAD, KIRC, LIHC, BLCA and READ. The COAD box plot shows higher GRPEL2 RNA expression in tumor versus normal tissue (log2 FC = +1.211, t-test p < 0.001).
This table shows molecular features associated with GRPEL2 in patient tissues and cancer cell lines. In patient samples, GRPEL2 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, GRPEL2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and LUNG_NSCLC_LUAD.
