heterogeneous nuclear ribonucleoprotein C pseudogene 7Genealiases: []
Q-omics provides the consensus-scored HNRNPCP7 profile across patient tissues and cancer cell-line models. HNRNPCP7 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, HNRNPCP7 is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, HNRNPCP7 RNA expression shows 19,920 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight CESC, KIRC, and THYM as cancer lineages where HNRNPCP7 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 HNRNPCP7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HNRNPCP7 survival associations across molecular data types. HNRNPCP7 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HNRNPCP7 RNA expression–survival associations across cancer types. High HNRNPCP7 expression shows unfavorable associations in CESC, KIRC, UVM, ACC and UCEC, but favorable associations in UCS. The CESC 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 CESC as the clearest survival context for HNRNPCP7 RNA expression.
This table summarizes HNRNPCP7 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for HNRNPCP7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HNRNPCP7 shows lower tumor expression in THCA and higher tumor expression in KIRC, COAD, HNSC, LIHC and LUSC. The KIRC box plot shows higher HNRNPCP7 RNA expression in tumor versus normal tissue (log2 FC = +0.306, t-test p < 0.001).
This table shows molecular features associated with HNRNPCP7 in patient tissues and cancer cell lines. In patient samples, HNRNPCP7 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
