proline, glutamate and leucine rich protein 1Genealiases: MNAR · P160
Q-omics provides the consensus-scored PELP1 profile across patient tissues and cancer cell-line models. PELP1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PELP1 is differentially expressed in 15, with the highest sampling consensus in STAD. Additionally, PELP1 protein abundance shows 24,415 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, STAD, and LSCC as cancer lineages where PELP1 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 PELP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PELP1 survival associations across molecular data types. PELP1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (4) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PELP1 RNA expression–survival associations across cancer types. High PELP1 expression shows unfavorable associations in ACC, MESO, LIHC and LUAD, but favorable associations in SCLC and PAAD. 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 PELP1 RNA expression.
This table summarizes PELP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 5. The strongest signals are observed in STAD for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for PELP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PELP1 shows higher tumor expression in STAD, COAD, LIHC, HNSC, KIRP and LUSC. The STAD box plot shows higher PELP1 RNA expression in tumor versus normal tissue (log2 FC = +1.175, t-test p < 0.001).
This table shows molecular features associated with PELP1 in patient tissues and cancer cell lines. In patient samples, PELP1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, PELP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and BLOOD_Leukemia.
