Q-omics provides the consensus-scored CARS2 profile across patient tissues and cancer cell-line models. CARS2 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, CARS2 is differentially expressed in 13, with the highest sampling consensus in COAD. Additionally, CARS2 RNA expression shows 17,291 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight LIHC, COAD, and ACC as cancer lineages where CARS2 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 CARS2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CARS2 survival associations across molecular data types. CARS2 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (4) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CARS2 RNA expression–survival associations across cancer types. High CARS2 expression shows unfavorable associations in LIHC, ACC, KIRC and LGG, but favorable associations in SCLC and UCEC. The LIHC 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 LIHC as the clearest survival context for CARS2 RNA expression.
This table summarizes CARS2 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 CARS2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CARS2 shows lower tumor expression in KICH and higher tumor expression in COAD, KIRC, STAD, HNSC and CHOL. The COAD box plot shows higher CARS2 RNA expression in tumor versus normal tissue (log2 FC = +1.255, t-test p < 0.001).
This table shows molecular features associated with CARS2 in patient tissues and cancer cell lines. In patient samples, CARS2 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, CARS2 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 LIVER and SKIN.
