149976 - Optimized flow cytometric detection of transient receptor potential vanilloid-1 (TRPV1) in human hematological malignancies.pdf (1.52 MB)
Optimized flow cytometric detection of transient receptor potential vanilloid-1 (TRPV1) in human hematological malignancies
journal contribution
posted on 2023-05-21, 07:30 authored by Omari, SA, Dominic Geraghty, Alhossain Khalafallah, Venkat, P, Shegog, Y, Scott RaggScott Ragg, de Bock, CE, Adams, MJThe ectopic overexpression of transient receptor potential vanilloid-1 (TRPV1) has been detected in numerous solid cancers, including breast, prostate, pancreatic, and tongue epithelium cancer. However, the expression of TRPV1 in hematological malignancies remains unknown. Here we show through in silico analysis that elevated TRPV1 mRNA expression occurs in a range of hematological malignancies and presents an optimized flow cytometry method to rapidly assess TRPV1 protein expression for both cell lines and primary patient samples. Three anti-TRPV1 antibodies were evaluated for intracellular TRPV1 detection using flow cytometry resulting in an optimized protocol for the evaluation of TRPV1 in hematological malignant cell lines and patients' peripheral blood mononuclear cells (PBMC). Overexpression of TRPV1 was observed in THP-1 (acute monocytic leukemia) and U266B1 (multiple myeloma, MM), but not U937 (histiocytic lymphoma) compared to healthy PBMC. TRPV1 was also detected in all 49 patients including B-cell non-Hodgkin's lymphoma (B-NHL), MM, and others and 20 healthy controls. TRPV1 expression was increased in 8% of patients (MM = 2, B-NHL = 2). In conclusion, we provide an optimized flow cytometry method for routine expression analysis of clinical samples and show that TRPV1 is increased in a subset of patients with hematological malignancies.
History
Publication title
Medical OncologyVolume
39Article number
81Number
81Pagination
1-8ISSN
1357-0560Department/School
School of Health SciencesPublisher
SpringerPlace of publication
GermanyRights statement
© The Author(s) 2022. his article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License, (https://creativecommons.org/licenses/by/4.0/) which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.Repository Status
- Open