Laser capture microdissection provides a novel molecular profile of human primary cutaneous melanoma

Author:

Navrazhina Kristina12,Garcet Sandra1,Williams Samuel C.12,Gulati Nicholas13,Kiecker Felix4,Frew John W.1,Mitsui Hiroshi15,Krueger James G.1

Affiliation:

1. Laboratory of Investigative Dermatology The Rockefeller University New York New York USA

2. Weill Cornell/Rockefeller/Sloan Kettering Tri‐Institutional MD‐PhD program New York New York USA

3. Department of Dermatology Icahn School of Medicine at Mount Sinai New York New York USA

4. Department of Dermatology and Allergy, Skin Cancer Center Charité Universitätsmedizin Berlin Berlin Germany

5. Department of Dermatology, Faculty of Medicine University of Yamanashi Yamanashi Japan

Abstract

AbstractMelanoma accounts for the majority of skin cancer‐related mortality, highlighting the need to better understand melanoma initiation and progression. In‐depth molecular analysis of neoplastic melanocytes in whole tissue biopsies may be diluted by inflammatory infiltration, which may obscure gene signatures specific to neoplastic cells. Thus, a method is needed to precisely uncover molecular changes specific to tumor cells from a limited sample of primary melanomas. Here, we performed laser capture microdissection (LCM) and gene expression profiling of patient‐derived frozen sections of pigmented lesions and primary cutaneous melanoma. Compared to bulk tissue analysis, analysis of LCM‐derived samples identified 9528 additional differentially expressed genes (DEGs) including melanocyte‐specific genes like PMEL and TYR, with enriched of pathways related to cell proliferation. LCM methodology also identified potentially targetable kinases specific to melanoma cells that were not detected by bulk tissue analysis. Taken together, our data demonstrate that there are marked differences in gene expression profiles depending on the method of sample isolation. We found that LCM captured higher expression of melanoma‐related genes while whole tissue biopsy identified a wider range of inflammatory markers. Taken together, our data demonstrate that LCM is a valid approach to identify melanoma‐specific changes using a relatively small amount of primary patient‐derived melanoma sample.

Funder

National Institutes of Health

Publisher

Wiley

Subject

Dermatology,General Biochemistry, Genetics and Molecular Biology,Oncology

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