Q-omics provides the consensus-scored ZFYVE9P2 profile across patient tissues and cancer cell-line models. ZFYVE9P2 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, ZFYVE9P2 is differentially expressed in 4, with the highest sampling consensus in HNSC. Additionally, ZFYVE9P2 RNA expression shows 6,245 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight KICH, HNSC, and ESCA as cancer lineages where ZFYVE9P2 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 ZFYVE9P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZFYVE9P2 survival associations across molecular data types. ZFYVE9P2 RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ZFYVE9P2 RNA expression–survival associations across cancer types. High ZFYVE9P2 expression shows unfavorable associations in KICH, BLCA, LUAD, LIHC and UCEC, but favorable associations in 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 ZFYVE9P2 RNA expression.
This table summarizes ZFYVE9P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for ZFYVE9P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZFYVE9P2 shows higher tumor expression in HNSC, LUSC, BLCA and LIHC. The HNSC box plot shows higher ZFYVE9P2 RNA expression in tumor versus normal tissue (log2 FC = +0.085, t-test p < 0.001).
This table shows molecular features associated with ZFYVE9P2 in patient tissues and cancer cell lines. In patient samples, ZFYVE9P2 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set.
