regenerating family member 4Genealiases: GISP · REG-IV · RELP
Q-omics provides the consensus-scored REG4 profile across patient tissues and cancer cell-line models. REG4 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, REG4 is differentially expressed in 9, with the highest sampling consensus in KICH. Additionally, REG4 RNA expression shows 12,264 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight KIRP, KICH, and ESCA as cancer lineages where REG4 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 REG4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes REG4 survival associations across molecular data types. REG4 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (5) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible REG4 RNA expression–survival associations across cancer types. High REG4 expression shows unfavorable associations in KIRP and UVM, but favorable associations in BRCA, BLCA, HNSC and SKCM. The KIRP 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 KIRP as the clearest survival context for REG4 RNA expression.
This table summarizes REG4 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 KICH for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for REG4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. REG4 shows lower tumor expression in KICH and KIRC and higher tumor expression in COAD, BRCA, STAD and PRAD. The KICH box plot shows higher REG4 RNA expression in normal versus tumor tissue (log2 FC = −0.153, t-test p < 0.001).
This table shows molecular features associated with REG4 in patient tissues and cancer cell lines. In patient samples, REG4 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set. In cancer cell lines, REG4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
