Q-omics provides the consensus-scored HNRNPCP1 profile across patient tissues and cancer cell-line models. HNRNPCP1 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, HNRNPCP1 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, HNRNPCP1 RNA expression shows 18,060 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and HNSC as cancer lineages where HNRNPCP1 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 HNRNPCP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HNRNPCP1 survival associations across molecular data types. HNRNPCP1 RNA expression shows survival associations in the most cancer types (26). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HNRNPCP1 RNA expression–survival associations across cancer types. High HNRNPCP1 expression shows unfavorable associations in ACC, MESO, LIHC, KIRC, LGG and READ. The ACC 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 ACC as the clearest survival context for HNRNPCP1 RNA expression.
This table summarizes HNRNPCP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for HNRNPCP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HNRNPCP1 shows higher tumor expression in HNSC, COAD, BLCA, STAD, KIRC and CHOL. The HNSC box plot shows higher HNRNPCP1 RNA expression in tumor versus normal tissue (log2 FC = +0.723, t-test p = .001).
This table shows molecular features associated with HNRNPCP1 in patient tissues and cancer cell lines. In patient samples, HNRNPCP1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
