Q-omics provides the consensus-scored KPRP profile across patient tissues and cancer cell-line models. KPRP expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, KPRP is differentially expressed in 3, with the highest sampling consensus in LUSC. Additionally, KPRP RNA expression shows 7,395 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight MESO, LUSC, and ESCA as cancer lineages where KPRP 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 KPRP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KPRP survival associations across molecular data types. KPRP RNA expression shows survival associations in the most cancer types (22), followed by mutation status (8) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KPRP RNA expression–survival associations across cancer types. High KPRP expression shows unfavorable associations in MESO, SCLC, LIHC, KICH, SKCM and SARC. The MESO 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 MESO as the clearest survival context for KPRP RNA expression.
This table summarizes KPRP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in LUSC for RNA.
This table ranks reproducible tumor–normal expression differences for KPRP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KPRP shows lower tumor expression in KIRC and higher tumor expression in LUSC and PAAD. The LUSC box plot shows higher KPRP RNA expression in tumor versus normal tissue (log2 FC = +1.285, t-test p < 0.001).
This table shows molecular features associated with KPRP in patient tissues and cancer cell lines. In patient samples, KPRP shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set. In cancer cell lines, KPRP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and LARGE_INTESTINE.
