Q-omics provides the consensus-scored MTFR2 profile across patient tissues and cancer cell-line models. MTFR2 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, MTFR2 is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, MTFR2 RNA expression shows 23,184 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, HNSC, and LSCC as cancer lineages where MTFR2 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 MTFR2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MTFR2 survival associations across molecular data types. MTFR2 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MTFR2 RNA expression–survival associations across cancer types. High MTFR2 expression shows unfavorable associations in ACC, MESO, KIRP, BRCA, KIRC and KICH. 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 MTFR2 RNA expression.
This table summarizes MTFR2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for MTFR2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MTFR2 shows higher tumor expression in HNSC, BLCA, COAD, KIRP, KIRC and STAD. The HNSC box plot shows higher MTFR2 RNA expression in tumor versus normal tissue (log2 FC = +1.890, t-test p < 0.001).
This table shows molecular features associated with MTFR2 in patient tissues and cancer cell lines. In patient samples, MTFR2 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, MTFR2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in OVARY and UPPER_AERODIGESTIVE_TRACT.
