mortality factor 4 like 1 pseudogene 1Genealiases: MORF4LP1 · MRG1
Q-omics provides the consensus-scored MORF4L1P1 profile across patient tissues and cancer cell-line models. MORF4L1P1 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, MORF4L1P1 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, MORF4L1P1 RNA expression shows 19,344 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, HNSC, and ACC as cancer lineages where MORF4L1P1 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 MORF4L1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MORF4L1P1 survival associations across molecular data types. MORF4L1P1 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 MORF4L1P1 RNA expression–survival associations across cancer types. High MORF4L1P1 expression shows unfavorable associations in MESO, BLCA, UVM, ACC and HNSC, but favorable associations in KIRC. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for MORF4L1P1 RNA expression.
This table summarizes MORF4L1P1 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 MORF4L1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MORF4L1P1 shows lower tumor expression in KICH, KIRP, KIRC and THCA and higher tumor expression in HNSC and CHOL. The HNSC box plot shows higher MORF4L1P1 RNA expression in tumor versus normal tissue (log2 FC = +1.168, t-test p < 0.001).
This table shows molecular features associated with MORF4L1P1 in patient tissues and cancer cell lines. In patient samples, MORF4L1P1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
