Why the study?
Differential expression of V-ATPases has been implicated in carcinogenesis and metastasis, but the putative molecular signatures underlying these phenomena remain to be elucidated.
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Population
Patients with ESCC and different types of tumors from public databases
Comparison
V-ATPase gene expression in ESCC vs other tumor types and normal tissues
Design
Microarray, database analysis, and paired qRT-PCR validation study
Distinctive V-ATPase subunit expression balances across cancers may indicate tumor-specific roles; hypothesis-generating for biomarker or therapeutic validation.
BACKGROUND: V-ATPases are hetero-oligomeric enzymes consisting of 13 subunits and playing key roles in ion homeostasis and signaling. Differential expression of these proton pumps has been implicated in carcinogenesis and metastasis. To elucidate putative molecular signatures underlying these phenomena, we evaluated the expression of V-ATPase genes in esophageal squamous cell carcinoma (ESCC) and extended the analysis to other cancers. METHODS: Expression of all V-ATPase genes were analyzed in ESCC by a microarray data and in different types of tumors available from public databases. Expression of C isoforms was validated by qRT-PCR in paired ESCC samples. FINDINGS: A differential expression pattern of V-ATPase genes was found in different tumors, with combinations in up- and down-regulation leading to an imbalance in the expression ratios of their isoforms. Particularly, a high C1 and low C2 expression pattern accurately discriminated ESCC from normal tissues. Structural modeling of C2a isoform uncovered motifs for oncogenic kinases in an additional peptide stretch, and an actin-biding domain downstream to this sequence. INTERPRETATION: pump regulation and interactions related to tumorigenesis. This study establishes a paradigm change by uncovering multi-cancer molecular signatures present in the V-ATPase structure, from which future studies must address the complexity of the onco-related V-ATPase assemblies as a whole, rather than targeting changes in specific subunit isoforms. FUNDING: This work was supported by grants from CNPq and FAPERJ-Brazil.
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Couto-Vieira et al. (2020) studied this question.
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