Q-omics provides the consensus-scored SMLR1 profile across patient tissues and cancer cell-line models. SMLR1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, SMLR1 is differentially expressed in 11, with the highest sampling consensus in KIRP. Additionally, SMLR1 RNA expression shows 13,490 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight READ, KIRP, and TGCT as cancer lineages where SMLR1 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 SMLR1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SMLR1 survival associations across molecular data types. SMLR1 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SMLR1 RNA expression–survival associations across cancer types. High SMLR1 expression shows unfavorable associations in LAML and CHOL, but favorable associations in READ, BLCA, UVM and KIRC. The READ Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify READ as the clearest survival context for SMLR1 RNA expression.
This table summarizes SMLR1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for SMLR1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SMLR1 shows lower tumor expression in KIRP, KICH, BRCA and CHOL and higher tumor expression in KIRC and COAD. The KIRP box plot shows higher SMLR1 RNA expression in normal versus tumor tissue (log2 FC = −1.500, t-test p < 0.001).
This table shows molecular features associated with SMLR1 in patient tissues and cancer cell lines. In patient samples, SMLR1 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, SMLR1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LIVER and BLOOD_Leukemia.
