notch 2 N-terminal like AGenealiases: N2N · NOTCH2NL
Q-omics provides the consensus-scored NOTCH2NLA profile across patient tissues and cancer cell-line models. NOTCH2NLA expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, NOTCH2NLA is differentially expressed in 12, with the highest sampling consensus in THCA. Additionally, NOTCH2NLA RNA expression shows 19,960 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight ACC, THCA, and THYM as cancer lineages where NOTCH2NLA 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 NOTCH2NLA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NOTCH2NLA survival associations across molecular data types. NOTCH2NLA RNA expression shows survival associations in the most cancer types (24), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NOTCH2NLA RNA expression–survival associations across cancer types. High NOTCH2NLA expression shows unfavorable associations in ACC, UVM, OV, MESO and CESC, but favorable associations in KIRC. 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 NOTCH2NLA RNA expression.
This table summarizes NOTCH2NLA tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for NOTCH2NLA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NOTCH2NLA shows lower tumor expression in THCA, KICH, UCEC, LUSC, COAD and KIRC. The THCA box plot shows higher NOTCH2NLA RNA expression in normal versus tumor tissue (log2 FC = −0.235, t-test p < 0.001).
This table shows molecular features associated with NOTCH2NLA in patient tissues and cancer cell lines. In patient samples, NOTCH2NLA shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, NOTCH2NLA RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in BONE and LARGE_INTESTINE.
