heterogeneous nuclear ribonucleoprotein M pseudogene 1Genealiases: []
Q-omics provides the consensus-scored HNRNPMP1 profile across patient tissues and cancer cell-line models. HNRNPMP1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, HNRNPMP1 is differentially expressed in 8, with the highest sampling consensus in UCEC. Additionally, HNRNPMP1 RNA expression shows 12,056 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight KICH, UCEC, and HNSC as cancer lineages where HNRNPMP1 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 HNRNPMP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HNRNPMP1 survival associations across molecular data types. HNRNPMP1 RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HNRNPMP1 RNA expression–survival associations across cancer types. High HNRNPMP1 expression shows unfavorable associations in KICH, BLCA, DLBC and ACC, but favorable associations in STAD and LAML. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify KICH as the clearest survival context for HNRNPMP1 RNA expression.
This table summarizes HNRNPMP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in UCEC for RNA.
This table ranks reproducible tumor–normal expression differences for HNRNPMP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HNRNPMP1 shows lower tumor expression in UCEC and BRCA and higher tumor expression in KIRC, STAD, HNSC and LIHC. The UCEC box plot shows higher HNRNPMP1 RNA expression in normal versus tumor tissue (log2 FC = −0.176, t-test p = .001).
This table shows molecular features associated with HNRNPMP1 in patient tissues and cancer cell lines. In patient samples, HNRNPMP1 shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set.
