Q-omics provides the consensus-scored NCCRP1 profile across patient tissues and cancer cell-line models. NCCRP1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, NCCRP1 is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, NCCRP1 RNA expression shows 11,707 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight KIRP, KIRC, and ESCA as cancer lineages where NCCRP1 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 NCCRP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NCCRP1 survival associations across molecular data types. NCCRP1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (3) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NCCRP1 RNA expression–survival associations across cancer types. High NCCRP1 expression shows unfavorable associations in KIRP, UCEC, OV, SKCM and LUAD, but favorable associations in DLBC. The KIRP 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 KIRP as the clearest survival context for NCCRP1 RNA expression.
This table summarizes NCCRP1 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 5. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for NCCRP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NCCRP1 shows lower tumor expression in KIRC, HNSC, KIRP and KICH and higher tumor expression in LUSC and LUAD. The KIRC box plot shows higher NCCRP1 RNA expression in normal versus tumor tissue (log2 FC = −1.999, t-test p < 0.001).
This table shows molecular features associated with NCCRP1 in patient tissues and cancer cell lines. In patient samples, NCCRP1 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, NCCRP1 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 URINARY_TRACT and BREAST.
