Q-omics provides the consensus-scored MTERF3 profile across patient tissues and cancer cell-line models. MTERF3 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, MTERF3 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, MTERF3 protein abundance shows 21,483 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight UVM, HNSC, and LSCC as cancer lineages where MTERF3 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 MTERF3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MTERF3 survival associations across molecular data types. MTERF3 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (4) 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 MTERF3 RNA expression–survival associations across cancer types. High MTERF3 expression shows unfavorable associations in UVM, LIHC, KIRC, KICH, LGG and HNSC. The UVM 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 UVM as the clearest survival context for MTERF3 RNA expression.
This table summarizes MTERF3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 5. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for MTERF3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MTERF3 shows higher tumor expression in HNSC, COAD, BLCA, LIHC, LUSC and LUAD. The HNSC box plot shows higher MTERF3 RNA expression in tumor versus normal tissue (log2 FC = +1.259, t-test p < 0.001).
This table shows molecular features associated with MTERF3 in patient tissues and cancer cell lines. In patient samples, MTERF3 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, MTERF3 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 BONE.
