Q-omics provides the consensus-scored SPACA3 profile across patient tissues and cancer cell-line models. SPACA3 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, SPACA3 is differentially expressed in 5, with the highest sampling consensus in COAD. Additionally, SPACA3 RNA expression shows 10,652 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, COAD, and LSCC as cancer lineages where SPACA3 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 SPACA3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SPACA3 survival associations across molecular data types. SPACA3 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SPACA3 RNA expression–survival associations across cancer types. High SPACA3 expression shows unfavorable associations in KIRC, LIHC, LUSC, ACC, PAAD and KIRP. 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 SPACA3 RNA expression.
This table summarizes SPACA3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for SPACA3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SPACA3 shows lower tumor expression in UCEC and KICH and higher tumor expression in COAD, LUAD and READ. The COAD box plot shows higher SPACA3 RNA expression in tumor versus normal tissue (log2 FC = +0.982, t-test p < 0.001).
This table shows molecular features associated with SPACA3 in patient tissues and cancer cell lines. In patient samples, SPACA3 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, SPACA3 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 SKIN and BONE.
