Q-omics provides the consensus-scored NFKB2 profile across patient tissues and cancer cell-line models. NFKB2 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, NFKB2 is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, NFKB2 protein abundance shows 23,383 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRP, KIRC, and GBM as cancer lineages where NFKB2 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 NFKB2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NFKB2 survival associations across molecular data types. NFKB2 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (3) 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 NFKB2 RNA expression–survival associations across cancer types. High NFKB2 expression shows unfavorable associations in KIRP, LIHC, ACC, KIRC and UVM, but favorable associations in SKCM. The KIRP 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 KIRP as the clearest survival context for NFKB2 RNA expression.
This table summarizes NFKB2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for NFKB2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NFKB2 shows lower tumor expression in KICH and higher tumor expression in KIRC, HNSC, COAD, LIHC and STAD. The KIRC box plot shows higher NFKB2 RNA expression in tumor versus normal tissue (log2 FC = +1.307, t-test p < 0.001).
This table shows molecular features associated with NFKB2 in patient tissues and cancer cell lines. In patient samples, NFKB2 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, NFKB2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in BONE and UPPER_AERODIGESTIVE_TRACT.
