transient receptor potential cation channel subfamily V member 2Genealiases: VRL · VRL-1 · VRL1
Q-omics provides the consensus-scored TRPV2 profile across patient tissues and cancer cell-line models. TRPV2 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, TRPV2 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, TRPV2 protein abundance shows 27,213 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight HNSC, KIRC, and LSCC as cancer lineages where TRPV2 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 TRPV2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TRPV2 survival associations across molecular data types. TRPV2 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (5) 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 TRPV2 RNA expression–survival associations across cancer types. High TRPV2 expression shows unfavorable associations in UVM, KIRP and LGG, but favorable associations in HNSC, UCEC and CESC. The HNSC 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 HNSC as the clearest survival context for TRPV2 RNA expression.
This table summarizes TRPV2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for TRPV2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TRPV2 shows lower tumor expression in LUSC and LUAD and higher tumor expression in KIRC, HNSC, STAD and LIHC. The KIRC box plot shows higher TRPV2 RNA expression in tumor versus normal tissue (log2 FC = +1.993, t-test p < 0.001).
This table shows molecular features associated with TRPV2 in patient tissues and cancer cell lines. In patient samples, TRPV2 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, TRPV2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and LARGE_INTESTINE.
