Q-omics provides the consensus-scored SUMO2P16 profile across patient tissues and cancer cell-line models. SUMO2P16 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SUMO2P16 is differentially expressed in 5, with the highest sampling consensus in HNSC. Additionally, SUMO2P16 RNA expression shows 11,086 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, HNSC, and GBM as cancer lineages where SUMO2P16 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 SUMO2P16 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SUMO2P16 survival associations across molecular data types. SUMO2P16 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SUMO2P16 RNA expression–survival associations across cancer types. High SUMO2P16 expression shows unfavorable associations in ACC, MESO, UCS, LIHC, COAD and LGG. 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 SUMO2P16 RNA expression.
This table summarizes SUMO2P16 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for SUMO2P16. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SUMO2P16 shows lower tumor expression in PAAD and higher tumor expression in HNSC, UCEC, CHOL and THCA. The HNSC box plot shows higher SUMO2P16 RNA expression in tumor versus normal tissue (log2 FC = +0.083, t-test p = .006).
This table shows molecular features associated with SUMO2P16 in patient tissues and cancer cell lines. In patient samples, SUMO2P16 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
