regenerating family member 1 alphaGenealiases: ICRF · P19 · PSP · PSPS · PSPS1 · PTP
Q-omics provides the consensus-scored REG1A profile across patient tissues and cancer cell-line models. REG1A expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, REG1A is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, REG1A protein abundance shows 24,101 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight READ, KIRC, and GBM as cancer lineages where REG1A 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 REG1A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes REG1A survival associations across molecular data types. REG1A RNA expression shows survival associations in the most cancer types (23), followed by mutation status (6) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible REG1A RNA expression–survival associations across cancer types. High REG1A expression shows unfavorable associations in LGG, UVM, ACC and PCPG, but favorable associations in READ and KIRC. The READ Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .008). Together, the overview and detailed table identify READ as the clearest survival context for REG1A RNA expression.
This table summarizes REG1A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 7. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for REG1A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. REG1A shows lower tumor expression in KICH and higher tumor expression in KIRC, COAD, HNSC, LIHC and LUSC. The KIRC box plot shows higher REG1A RNA expression in tumor versus normal tissue (log2 FC = +3.391, t-test p < 0.001).
This table shows molecular features associated with REG1A in patient tissues and cancer cell lines. In patient samples, REG1A shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, REG1A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and LIVER.
