regenerating family member 3 alphaGenealiases: HIP · HIP/PAP · INGAP · PAP · PAP-H · PAP1
Q-omics provides the consensus-scored REG3A profile across patient tissues and cancer cell-line models. REG3A expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, REG3A is differentially expressed in 9, with the highest sampling consensus in COAD. Additionally, REG3A RNA expression shows 7,304 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight KICH, COAD, and PDAC as cancer lineages where REG3A 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 REG3A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes REG3A survival associations across molecular data types. REG3A RNA expression shows survival associations in the most cancer types (17), followed by mutation status (6) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible REG3A RNA expression–survival associations across cancer types. High REG3A expression shows unfavorable associations in KICH, UVM, LUAD, KIRC, CESC and TGCT. The KICH 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 KICH as the clearest survival context for REG3A RNA expression.
This table summarizes REG3A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 3. The strongest signals are observed in COAD for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for REG3A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. REG3A shows higher tumor expression in COAD, READ, LIHC, HNSC, KIRP and KIRC. The COAD box plot shows higher REG3A RNA expression in tumor versus normal tissue (log2 FC = +2.945, t-test p < 0.001).
This table shows molecular features associated with REG3A in patient tissues and cancer cell lines. In patient samples, REG3A shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, REG3A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in BREAST and OVARY.
