testis specific protein Y-linked 10Genealiases: []
Q-omics provides the consensus-scored TSPY10 profile across patient tissues and cancer cell-line models. TSPY10 expression is associated with patient survival in 9 of 34 cancer types, with the highest sampling consensus in COAD. Additionally, TSPY10 RNA expression shows 6,142 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight COAD, and TGCT as cancer lineages where TSPY10 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 TSPY10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TSPY10 survival associations across molecular data types. TSPY10 RNA expression shows survival associations in the most cancer types (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TSPY10 RNA expression–survival associations across cancer types. High TSPY10 expression shows unfavorable associations in COAD, LIHC, LUAD, BLCA, SKCM and ESCA. The COAD 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 COAD as the clearest survival context for TSPY10 RNA expression.
This table shows molecular features associated with TSPY10 in patient tissues and cancer cell lines. In patient samples, TSPY10 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, TSPY10 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUSC, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD.
