Q-omics provides the consensus-scored JCHAINP1 profile across patient tissues and cancer cell-line models. JCHAINP1 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, JCHAINP1 is differentially expressed in 3, with the highest sampling consensus in STAD. Additionally, JCHAINP1 RNA expression shows 6,524 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight ACC, and STAD as cancer lineages where JCHAINP1 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 JCHAINP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes JCHAINP1 survival associations across molecular data types. JCHAINP1 RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible JCHAINP1 RNA expression–survival associations across cancer types. High JCHAINP1 expression shows unfavorable associations in ACC, THYM, LIHC, MESO and SKCM, but favorable associations in BLCA. 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 JCHAINP1 RNA expression.
This table summarizes JCHAINP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in STAD for RNA.
This table ranks reproducible tumor–normal expression differences for JCHAINP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. JCHAINP1 shows lower tumor expression in STAD, COAD and READ. The STAD box plot shows higher JCHAINP1 RNA expression in normal versus tumor tissue (log2 FC = −0.208, t-test p = .038).
This table shows molecular features associated with JCHAINP1 in patient tissues and cancer cell lines. In patient samples, JCHAINP1 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
