structural maintenance of chromosomes 5Genealiases: ATELS2 · SMC5L1
Q-omics provides the consensus-scored SMC5 profile across patient tissues and cancer cell-line models. SMC5 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SMC5 is differentially expressed in 10, with the highest sampling consensus in THCA. Additionally, SMC5 protein abundance shows 26,634 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, THCA, and LSCC as cancer lineages where SMC5 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 SMC5 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SMC5 survival associations across molecular data types. SMC5 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (4) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SMC5 RNA expression–survival associations across cancer types. High SMC5 expression shows unfavorable associations in ACC and LGG, but favorable associations in KIRC, SKCM, LAML and THYM. The ACC 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 ACC as the clearest survival context for SMC5 RNA expression.
This table summarizes SMC5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 4. The strongest signals are observed in THCA for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for SMC5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SMC5 shows lower tumor expression in THCA and UCEC and higher tumor expression in HNSC, STAD, CHOL and KIRP. The THCA box plot shows higher SMC5 RNA expression in normal versus tumor tissue (log2 FC = −0.490, t-test p < 0.001).
This table shows molecular features associated with SMC5 in patient tissues and cancer cell lines. In patient samples, SMC5 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, SMC5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and BLOOD_Leukemia.
