ATP binding cassette subfamily A member 3Genealiases: ABC-C · ABC3 · EST111653 · LBM180 · SMDP3
Q-omics provides the consensus-scored ABCA3 profile across patient tissues and cancer cell-line models. ABCA3 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, ABCA3 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, ABCA3 RNA expression shows 18,930 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight UVM, KIRC, and LSCC as cancer lineages where ABCA3 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 ABCA3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCA3 survival associations across molecular data types. ABCA3 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (7) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ABCA3 RNA expression–survival associations across cancer types. High ABCA3 expression shows unfavorable associations in LUSC, MESO and UCEC, but favorable associations in UVM, ACC and LUAD. The UVM 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 UVM as the clearest survival context for ABCA3 RNA expression.
This table summarizes ABCA3 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 2. The strongest signals are observed in KIRC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for ABCA3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCA3 shows lower tumor expression in LUAD, LUSC and THCA and higher tumor expression in KIRC, KIRP and LIHC. The KIRC box plot shows higher ABCA3 RNA expression in tumor versus normal tissue (log2 FC = +0.862, t-test p < 0.001).
This table shows molecular features associated with ABCA3 in patient tissues and cancer cell lines. In patient samples, ABCA3 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, ABCA3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BLOOD_Lymphoma.
