collagen type IX alpha 3 chainGenealiases: DJ885L7.4.1 · EDM3 · IDD · MED · STL6
Q-omics provides the consensus-scored COL9A3 profile across patient tissues and cancer cell-line models. COL9A3 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, COL9A3 is differentially expressed in 9, with the highest sampling consensus in THCA. Additionally, COL9A3 protein abundance shows 22,354 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight UVM, THCA, and LSCC as cancer lineages where COL9A3 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 COL9A3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes COL9A3 survival associations across molecular data types. COL9A3 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (6) 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 COL9A3 RNA expression–survival associations across cancer types. High COL9A3 expression shows unfavorable associations in UVM, KIRC, ACC, LGG, UCS and CESC. The UVM 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 UVM as the clearest survival context for COL9A3 RNA expression.
This table summarizes COL9A3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 8. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for COL9A3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. COL9A3 shows lower tumor expression in THCA, KICH and KIRC and higher tumor expression in LUAD, COAD and LUSC. The THCA box plot shows higher COL9A3 RNA expression in normal versus tumor tissue (log2 FC = −3.654, t-test p < 0.001).
This table shows molecular features associated with COL9A3 in patient tissues and cancer cell lines. In patient samples, COL9A3 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, COL9A3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BONE.
