Q-omics provides the consensus-scored EXOSC7 profile across patient tissues and cancer cell-line models. EXOSC7 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, EXOSC7 is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, EXOSC7 protein abundance shows 30,955 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, and GBM as cancer lineages where EXOSC7 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 EXOSC7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EXOSC7 survival associations across molecular data types. EXOSC7 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (4) and mass-spec protein abundance (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EXOSC7 RNA expression–survival associations across cancer types. High EXOSC7 expression shows unfavorable associations in KIRC, ACC, LIHC, MESO and CESC, but favorable associations in UCEC. 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 EXOSC7 RNA expression.
This table summarizes EXOSC7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 8. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for EXOSC7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EXOSC7 shows lower tumor expression in KIRC and higher tumor expression in COAD, LIHC, STAD, BLCA and READ. The KIRC box plot shows higher EXOSC7 RNA expression in normal versus tumor tissue (log2 FC = −1.012, t-test p < 0.001).
This table shows molecular features associated with EXOSC7 in patient tissues and cancer cell lines. In patient samples, EXOSC7 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, EXOSC7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in KIDNEY, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and UPPER_AERODIGESTIVE_TRACT.
