gap junction protein alpha 8Genealiases: CAE · CAE1 · CTRCT1 · CX50 · CZP1 · MP70
Q-omics provides the consensus-scored GJA8 profile across patient tissues and cancer cell-line models. GJA8 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, GJA8 is differentially expressed in 7, with the highest sampling consensus in KIRC. Additionally, GJA8 protein abundance shows 8,223 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, KIRC, and LSCC as cancer lineages where GJA8 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 GJA8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GJA8 survival associations across molecular data types. GJA8 RNA expression shows survival associations in the most cancer types (17), followed by mutation status (10) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GJA8 RNA expression–survival associations across cancer types. High GJA8 expression shows unfavorable associations in ACC, THYM, MESO, SCLC, UCEC and COAD. 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 GJA8 RNA expression.
This table summarizes GJA8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7, while mass-spec protein shows differences in 1. The strongest signals are observed in KIRC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for GJA8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GJA8 shows lower tumor expression in KIRC, KICH, LUSC and KIRP and higher tumor expression in HNSC and LIHC. The KIRC box plot shows higher GJA8 RNA expression in normal versus tumor tissue (log2 FC = −0.646, t-test p < 0.001).
This table shows molecular features associated with GJA8 in patient tissues and cancer cell lines. In patient samples, GJA8 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, GJA8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
