Q-omics provides the consensus-scored NUFIP2 profile across patient tissues and cancer cell-line models. NUFIP2 expression is associated with patient survival in 29 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, NUFIP2 is differentially expressed in 15, with the highest sampling consensus in KIRP. Additionally, NUFIP2 protein abundance shows 28,309 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, KIRP, and GBM as cancer lineages where NUFIP2 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 NUFIP2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NUFIP2 survival associations across molecular data types. NUFIP2 RNA expression shows survival associations in the most cancer types (29), followed by mutation status (7) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NUFIP2 RNA expression–survival associations across cancer types. High NUFIP2 expression shows unfavorable associations in ACC, LIHC, KIRP, MESO, OV and PAAD. 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 NUFIP2 RNA expression.
This table summarizes NUFIP2 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 6. The strongest signals are observed in KIRP for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for NUFIP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NUFIP2 shows lower tumor expression in THCA and higher tumor expression in KIRP, BLCA, HNSC, STAD and LIHC. The KIRP box plot shows higher NUFIP2 RNA expression in tumor versus normal tissue (log2 FC = +0.825, t-test p < 0.001).
This table shows molecular features associated with NUFIP2 in patient tissues and cancer cell lines. In patient samples, NUFIP2 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, NUFIP2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BLOOD_Lymphoma.
