Spatial lipidomic profiling of cutaneous melanoma using electroporation‐based biopsy reveals subtype‐specific metabolic alterations

Abstract Cutaneous melanoma is a highly aggressive skin cancer with rising global incidence. Although understanding melanoma metabolism requires spatially resolved molecular information, conventional excisional sampling offers limited access to spatial gradients within tumors. Here, we introduce a handheld electroporation‐based biopsy (e‐biopsy) device, a newly engineered tool that delivers controlled pulsed electric fields to transiently permeabilize cells and extract intracellular molecules directly from tissue. This minimally invasive, probe‐based approach enables rapid, localized molecular harvesting without surgical excision, offering a fundamentally new route for in situ tumor profiling. Using this handheld system, we obtained paired molecular samples from tumor centers and margins in 44 locations across 21 melanoma patients, including superficial spreading melanoma and malignant melanoma in situ. Mass‐spectrometry analysis of e‐biopsy extracts identified 85 lipid species and revealed reproducible spatial metabolic patterns. While the device enabled consistent extraction across regions, tumor centers displayed a reduced presence of select triacylglycerols (TG), ether‐linked lysophosphatidylcholines (LPCs), and phosphatidylcholine (PC) PC(32:1). Certain species, including LPC(16:0e) and TG(15:0_16:1_18:1), were absent or markedly diminished centrally. Subtype comparisons showed limited differences at tumor cores but margin‐specific TG variations. This study demonstrates that the handheld e‐biopsy device provides a novel, minimally invasive platform for spatial metabolic characterization of melanoma.

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Publication Details

Journal
Bioengineering & Translational Medicine
Published
2026-04-16
DOI
https://doi.org/10.1002/btm2.70132
Primary Topic
Microbial Inactivation Methods
Type
article
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article

Spatial lipidomic profiling of cutaneous melanoma using electroporation‐based biopsy reveals subtype‐specific metabolic alterations

Vladimir Kravtsov, Alexander Golberg, Din Mann, Klimentiy Levkov et al.
Bioengineering & Translational Medicine
Microbial Inactivation Methods
article

Spatial lipidomic profiling of cutaneous melanoma using electroporation‐based biopsy reveals subtype‐specific metabolic alterations

Vladimir Kravtsov, Alexander Golberg, Din Mann, Klimentiy Levkov, Avshalom Shalom, Edward Vitkin, Omer Yaakov, Noam Castel
article en

Abstract

Abstract Cutaneous melanoma is a highly aggressive skin cancer with rising global incidence. Although understanding melanoma metabolism requires spatially resolved molecular information, conventional excisional sampling offers limited access to spatial gradients within tumors. Here, we introduce a handheld electroporation‐based biopsy (e‐biopsy) device, a newly engineered tool that delivers controlled pulsed electric fields to transiently permeabilize cells and extract intracellular molecules directly from tissue. This minimally invasive, probe‐based approach enables rapid, localized molecular harvesting without surgical excision, offering a fundamentally new route for in situ tumor profiling. Using this handheld system, we obtained paired molecular samples from tumor centers and margins in 44 locations across 21 melanoma patients, including superficial spreading melanoma and malignant melanoma in situ. Mass‐spectrometry analysis of e‐biopsy extracts identified 85 lipid species and revealed reproducible spatial metabolic patterns. While the device enabled consistent extraction across regions, tumor centers displayed a reduced presence of select triacylglycerols (TG), ether‐linked lysophosphatidylcholines (LPCs), and phosphatidylcholine (PC) PC(32:1). Certain species, including LPC(16:0e) and TG(15:0_16:1_18:1), were absent or markedly diminished centrally. Subtype comparisons showed limited differences at tumor cores but margin‐specific TG variations. This study demonstrates that the handheld e‐biopsy device provides a novel, minimally invasive platform for spatial metabolic characterization of melanoma.

Bioengineering & Translational Medicine
Rutgers, The State University of New Jersey (US), Tel Aviv University (IL), Meir Medical Center (IL)
Openalex Percentile: Top 16%
Microbial Inactivation Methods
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