Q-omics provides the consensus-scored ATP5MC1P3 profile across patient tissues and cancer cell-line models. ATP5MC1P3 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, ATP5MC1P3 is differentially expressed in 7, with the highest sampling consensus in THCA. Additionally, ATP5MC1P3 RNA expression shows 12,651 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight HNSC, THCA, and KIRP as cancer lineages where ATP5MC1P3 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 ATP5MC1P3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ATP5MC1P3 survival associations across molecular data types. ATP5MC1P3 RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ATP5MC1P3 RNA expression–survival associations across cancer types. High ATP5MC1P3 expression shows unfavorable associations in COAD and ESCA, but favorable associations in HNSC, BLCA, KIRP and BRCA. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify HNSC as the clearest survival context for ATP5MC1P3 RNA expression.
This table summarizes ATP5MC1P3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for ATP5MC1P3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ATP5MC1P3 shows lower tumor expression in THCA, BRCA, KICH and UCEC and higher tumor expression in KIRC and CHOL. The THCA box plot shows higher ATP5MC1P3 RNA expression in normal versus tumor tissue (log2 FC = −0.620, t-test p < 0.001).
This table shows molecular features associated with ATP5MC1P3 in patient tissues and cancer cell lines. In patient samples, ATP5MC1P3 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
