Q-omics provides the consensus-scored CCSER1 profile across patient tissues and cancer cell-line models. CCSER1 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, CCSER1 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, CCSER1 RNA expression shows 20,495 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight KIRC, and HNSC as cancer lineages where CCSER1 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 CCSER1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CCSER1 survival associations across molecular data types. CCSER1 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (10) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CCSER1 RNA expression–survival associations across cancer types. High CCSER1 expression shows unfavorable associations in THCA and CESC, but favorable associations in KIRC, LGG, LUAD and COAD. The KIRC 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 KIRC as the clearest survival context for CCSER1 RNA expression.
This table summarizes CCSER1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 3. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for CCSER1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CCSER1 shows lower tumor expression in KIRC, KIRP, THCA and KICH and higher tumor expression in LUAD and COAD. The KIRC box plot shows higher CCSER1 RNA expression in normal versus tumor tissue (log2 FC = −1.476, t-test p < 0.001).
This table shows molecular features associated with CCSER1 in patient tissues and cancer cell lines. In patient samples, CCSER1 shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set. In cancer cell lines, CCSER1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in CNS and BREAST.
