Q-omics provides the consensus-scored CALR3 profile across patient tissues and cancer cell-line models. CALR3 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, CALR3 is differentially expressed in 10, with the highest sampling consensus in THCA. Additionally, CALR3 RNA expression shows 9,554 significant gene co-expression associations, with the highest sampling consensus in KICH. Together, these results highlight KICH, and THCA as cancer lineages where CALR3 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 CALR3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CALR3 survival associations across molecular data types. CALR3 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CALR3 RNA expression–survival associations across cancer types. High CALR3 expression shows unfavorable associations in KICH, UVM, KIRC and LGG, but favorable associations in UCS and LUAD. The KICH 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 KICH as the clearest survival context for CALR3 RNA expression.
This table summarizes CALR3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for CALR3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CALR3 shows lower tumor expression in THCA and KICH and higher tumor expression in BRCA, LUSC, LIHC and LUAD. The THCA box plot shows higher CALR3 RNA expression in normal versus tumor tissue (log2 FC = −0.125, t-test p < 0.001).
This table shows molecular features associated with CALR3 in patient tissues and cancer cell lines. In patient samples, CALR3 shows the broadest associations at the RNA and protein expression levels, with KICH recurring as the lineage with the largest associated feature set. In cancer cell lines, CALR3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in CNS and OESOPHAGUS.
