High-Throughput Metabolomic Profiling of Skin Lesions: Comparative Study of Cutaneous Squamous Cell Carcinoma, Basal Cell Carcinoma, and Normal Skin Via e-Biopsy Sampling.
Leetal Louie, Julia Wise, Ariel Berl, Ofir Shir-Az, Vladimir Kravtsov, Zohar Yakhini, Avshalom Shalom, Alexander Golberg, Edward Vitkin
{"title":"High-Throughput Metabolomic Profiling of Skin Lesions: Comparative Study of Cutaneous Squamous Cell Carcinoma, Basal Cell Carcinoma, and Normal Skin Via e-Biopsy Sampling.","authors":"Leetal Louie, Julia Wise, Ariel Berl, Ofir Shir-Az, Vladimir Kravtsov, Zohar Yakhini, Avshalom Shalom, Alexander Golberg, Edward Vitkin","doi":"10.1007/s12195-025-00846-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Rising rates of cutaneous squamous cell carcinoma (cSCC) and basal cell carcinoma (BCC) make standard histopathology diagnostic methods a bottleneck. Using tissue molecular information for diagnostics offers a promising alternative. Faster specimen collection and high-throughput molecular identification can improve the processing of the increasing number of tumors. This study aims (i) to confirm the ability of e-biopsy technique to harvest metabolites, (ii) to obtain high-resolution metabolomic profiles of cSCC, BCC, and healthy skin tissues, and (iii) to perform a comparative analysis of the collected profiles.</p><p><strong>Methods: </strong>Tumor specimens were collected with electroporation-based biopsy (e-biopsy), a minimally invasive sampling collection tool, from 13 tissue samples (cSCC, BCC, and healthy skin) from 12 patients. Ultra performance liquid chromatography and tandem mass spectrometry (UPLC-MS-MS) was used for molecular identification and quantification of resulting metabolomic profiles.</p><p><strong>Results: </strong>Here we report measurements of 2325 small metabolites identified (301 with high confidence) in 13 tissue samples from 12 patients. Comparative analysis identified 34 significantly (p < 0.05) differentially expressed high-confidence metabolites. Generally, we observed a greater number of metabolites with higher expression, in cSCC and in BCC compared to healthy tissues, belonging to the subclass amino acids, peptides, and analogues.</p><p><strong>Conclusions: </strong>These findings confirm the ability of e-biopsy technique to obtain high-resolution metabolomic profiles suitable to downstream bioinformatics analysis. This highlights the potential of e-biopsy coupled with UPLC-MS-MS for rapid, high-throughput metabolomic profiling in skin cancers and supports its utility as a promising diagnostic alternative to standard histopathology.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s12195-025-00846-1.</p>","PeriodicalId":9687,"journal":{"name":"Cellular and molecular bioengineering","volume":"18 2","pages":"185-195"},"PeriodicalIF":2.3000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12018666/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cellular and molecular bioengineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12195-025-00846-1","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: Rising rates of cutaneous squamous cell carcinoma (cSCC) and basal cell carcinoma (BCC) make standard histopathology diagnostic methods a bottleneck. Using tissue molecular information for diagnostics offers a promising alternative. Faster specimen collection and high-throughput molecular identification can improve the processing of the increasing number of tumors. This study aims (i) to confirm the ability of e-biopsy technique to harvest metabolites, (ii) to obtain high-resolution metabolomic profiles of cSCC, BCC, and healthy skin tissues, and (iii) to perform a comparative analysis of the collected profiles.
Methods: Tumor specimens were collected with electroporation-based biopsy (e-biopsy), a minimally invasive sampling collection tool, from 13 tissue samples (cSCC, BCC, and healthy skin) from 12 patients. Ultra performance liquid chromatography and tandem mass spectrometry (UPLC-MS-MS) was used for molecular identification and quantification of resulting metabolomic profiles.
Results: Here we report measurements of 2325 small metabolites identified (301 with high confidence) in 13 tissue samples from 12 patients. Comparative analysis identified 34 significantly (p < 0.05) differentially expressed high-confidence metabolites. Generally, we observed a greater number of metabolites with higher expression, in cSCC and in BCC compared to healthy tissues, belonging to the subclass amino acids, peptides, and analogues.
Conclusions: These findings confirm the ability of e-biopsy technique to obtain high-resolution metabolomic profiles suitable to downstream bioinformatics analysis. This highlights the potential of e-biopsy coupled with UPLC-MS-MS for rapid, high-throughput metabolomic profiling in skin cancers and supports its utility as a promising diagnostic alternative to standard histopathology.
Supplementary information: The online version contains supplementary material available at 10.1007/s12195-025-00846-1.
期刊介绍:
The field of cellular and molecular bioengineering seeks to understand, so that we may ultimately control, the mechanical, chemical, and electrical processes of the cell. A key challenge in improving human health is to understand how cellular behavior arises from molecular-level interactions. CMBE, an official journal of the Biomedical Engineering Society, publishes original research and review papers in the following seven general areas:
Molecular: DNA-protein/RNA-protein interactions, protein folding and function, protein-protein and receptor-ligand interactions, lipids, polysaccharides, molecular motors, and the biophysics of macromolecules that function as therapeutics or engineered matrices, for example.
Cellular: Studies of how cells sense physicochemical events surrounding and within cells, and how cells transduce these events into biological responses. Specific cell processes of interest include cell growth, differentiation, migration, signal transduction, protein secretion and transport, gene expression and regulation, and cell-matrix interactions.
Mechanobiology: The mechanical properties of cells and biomolecules, cellular/molecular force generation and adhesion, the response of cells to their mechanical microenvironment, and mechanotransduction in response to various physical forces such as fluid shear stress.
Nanomedicine: The engineering of nanoparticles for advanced drug delivery and molecular imaging applications, with particular focus on the interaction of such particles with living cells. Also, the application of nanostructured materials to control the behavior of cells and biomolecules.