Q-omics provides the consensus-scored RPL7L1P3 profile across patient tissues and cancer cell-line models. RPL7L1P3 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, RPL7L1P3 is differentially expressed in 9, with the highest sampling consensus in THCA. Additionally, RPL7L1P3 RNA expression shows 10,107 significant gene co-expression associations, with the highest sampling consensus in LAML. Together, these results highlight UCEC, THCA, and LAML as cancer lineages where RPL7L1P3 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 RPL7L1P3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPL7L1P3 survival associations across molecular data types. RPL7L1P3 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPL7L1P3 RNA expression–survival associations across cancer types. High RPL7L1P3 expression shows unfavorable associations in UCEC, ACC, COAD, THYM and MESO, but favorable associations in BRCA. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify UCEC as the clearest survival context for RPL7L1P3 RNA expression.
This table summarizes RPL7L1P3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for RPL7L1P3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPL7L1P3 shows lower tumor expression in THCA, KICH, KIRP, CHOL, LUAD and KIRC. The THCA box plot shows higher RPL7L1P3 RNA expression in normal versus tumor tissue (log2 FC = −0.444, t-test p < 0.001).
This table shows molecular features associated with RPL7L1P3 in patient tissues and cancer cell lines. In patient samples, RPL7L1P3 shows the broadest associations at the RNA and protein expression levels, with LAML recurring as the lineage with the largest associated feature set.
