Q-omics provides the consensus-scored CALR4P profile across patient tissues and cancer cell-line models. CALR4P expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in THYM. Among the 18 cancer types available for tumor–normal comparison, CALR4P is differentially expressed in 9, with the highest sampling consensus in COAD. Additionally, CALR4P RNA expression shows 14,866 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight THYM, COAD, and UVM as cancer lineages where CALR4P 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 CALR4P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CALR4P survival associations across molecular data types. CALR4P RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CALR4P RNA expression–survival associations across cancer types. High CALR4P expression shows unfavorable associations in THYM, KIRC, KICH and LUSC, but favorable associations in ACC and CHOL. The THYM 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 THYM as the clearest survival context for CALR4P RNA expression.
This table summarizes CALR4P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for CALR4P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CALR4P shows lower tumor expression in COAD and CHOL and higher tumor expression in BRCA, BLCA, HNSC and LUAD. The COAD box plot shows higher CALR4P RNA expression in normal versus tumor tissue (log2 FC = −0.419, t-test p < 0.001).
This table shows molecular features associated with CALR4P in patient tissues and cancer cell lines. In patient samples, CALR4P shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
