small nuclear ribonucleoprotein polypeptide A'Genealiases: Lea1 · U2A'
Q-omics provides the consensus-scored SNRPA1 profile across patient tissues and cancer cell-line models. SNRPA1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SNRPA1 is differentially expressed in 17, with the highest sampling consensus in HNSC. Additionally, SNRPA1 protein abundance shows 36,597 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, HNSC, and GBM as cancer lineages where SNRPA1 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 SNRPA1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNRPA1 survival associations across molecular data types. SNRPA1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (3) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNRPA1 RNA expression–survival associations across cancer types. High SNRPA1 expression shows unfavorable associations in KIRC, KIRP, ACC, LIHC and KICH, but favorable associations in OV. The KIRC 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 KIRC as the clearest survival context for SNRPA1 RNA expression.
This table summarizes SNRPA1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17, while mass-spec protein shows differences in 10. The strongest signals are observed in KIRC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for SNRPA1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNRPA1 shows higher tumor expression in HNSC, KIRC, BLCA, STAD, COAD and LIHC. The HNSC box plot shows higher SNRPA1 RNA expression in tumor versus normal tissue (log2 FC = +1.283, t-test p < 0.001).
This table shows molecular features associated with SNRPA1 in patient tissues and cancer cell lines. In patient samples, SNRPA1 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, SNRPA1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in STOMACH and BLOOD_Leukemia.
