Q-omics provides the consensus-scored NSA2P6 profile across patient tissues and cancer cell-line models. NSA2P6 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, NSA2P6 is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, NSA2P6 RNA expression shows 10,014 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KICH, and GBM as cancer lineages where NSA2P6 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 NSA2P6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NSA2P6 survival associations across molecular data types. NSA2P6 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NSA2P6 RNA expression–survival associations across cancer types. High NSA2P6 expression shows unfavorable associations in KICH, LIHC and TGCT, but favorable associations in COAD, UCEC and LGG. The KICH 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 KICH as the clearest survival context for NSA2P6 RNA expression.
This table summarizes NSA2P6 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for NSA2P6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NSA2P6 shows higher tumor expression in KICH, COAD, KIRC, READ, LIHC and STAD. The KICH box plot shows higher NSA2P6 RNA expression in tumor versus normal tissue (log2 FC = +0.127, t-test p = .003).
This table shows molecular features associated with NSA2P6 in patient tissues and cancer cell lines. In patient samples, NSA2P6 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
