Q-omics provides the consensus-scored MACROD2-IT1 profile across patient tissues and cancer cell-line models. MACROD2-IT1 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, MACROD2-IT1 is differentially expressed in 4, with the highest sampling consensus in STAD. Additionally, MACROD2-IT1 RNA expression shows 8,245 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UCS, STAD, and GBM as cancer lineages where MACROD2-IT1 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 MACROD2-IT1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MACROD2-IT1 survival associations across molecular data types. MACROD2-IT1 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MACROD2-IT1 RNA expression–survival associations across cancer types. High MACROD2-IT1 expression shows unfavorable associations in COAD, ACC, KICH, THCA and GBM, but favorable associations in UCS. The UCS Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .008). Together, the overview and detailed table identify UCS as the clearest survival context for MACROD2-IT1 RNA expression.
This table summarizes MACROD2-IT1 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 THCA for RNA.
This table ranks reproducible tumor–normal expression differences for MACROD2-IT1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MACROD2-IT1 shows lower tumor expression in THCA and higher tumor expression in STAD, LUSC and CHOL. The STAD box plot shows higher MACROD2-IT1 RNA expression in tumor versus normal tissue (log2 FC = +0.093, t-test p = .007).
This table shows molecular features associated with MACROD2-IT1 in patient tissues and cancer cell lines. In patient samples, MACROD2-IT1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
