Identification of melanoma cells and lymphocyte subpopulations in lymph node metastases by FTIR imaging histopathology.
Details
Serval ID
serval:BIB_CC885309E0E0
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Identification of melanoma cells and lymphocyte subpopulations in lymph node metastases by FTIR imaging histopathology.
Journal
Biochimica et biophysica acta
ISSN
0006-3002 (Print)
ISSN-L
0006-3002
Publication state
Published
Issued date
02/2016
Peer-reviewed
Oui
Volume
1862
Number
2
Pages
202-212
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Abstract
While early stages of melanoma are usually cured by surgery, metastatic melanomas are difficult to treat because the widely available options have low response rates. Careful and precise diagnosis and staging are essential to determine patient's risk and to select appropriate treatments. Fortunately, the recent progress in immunotherapy is very encouraging. In this context, it is important to characterize the intratumoral infiltration of immune cells in each patient, which is however not done routinely due to the lack of standardized methods. In this study, we used Fourier transform infrared (FTIR) imaging combined with multivariate statistical analyses to investigate non-metastatic and metastatic lymph nodes from melanoma patients. Our results show that the different cell types have different infrared spectral features allowing automated identification of these cell types. High recognition rates were obtained using a supervised partial least square discriminant analysis (PLS-DA) model. Melanoma cells were recognized with 87.1% sensitivity and 85.7% specificity, showing that FTIR spectroscopy has similar detection power as immunohistochemistry. Besides, FTIR imaging could also distinguish lymphocyte subpopulations (B and T cells). Finally, we investigated the changes in lymphocytes due to the presence of metastases. Interestingly, specific features of spectra of lymphocytes present in metastatic or tumor-free lymph nodes could be evidenced by PCA. A PLS-DA model was capable of predicting whether lymphocytes originated from invaded or non-invaded lymph nodes. These data demonstrate that FTIR imaging is capable to distinguish known and also novel biological features in human tissues, with potential practical relevance for histopathological diagnosis and biomarker assessment.
Keywords
Humans, Lymph Nodes/chemistry, Lymph Nodes/diagnostic imaging, Lymph Nodes/pathology, Lymphatic Metastasis/diagnostic imaging, Lymphatic Metastasis/pathology, Lymphocytes/chemistry, Lymphocytes/pathology, Melanoma/chemistry, Melanoma/diagnostic imaging, Melanoma/pathology, Optical Imaging/methods, Skin Neoplasms/chemistry, Skin Neoplasms/diagnostic imaging, Skin Neoplasms/pathology, Spectroscopy, Fourier Transform Infrared/methods, FTIR imaging, IR spectroscopy, Immune cells, Lymphocytes, Melanoma, Metastases
Pubmed
Web of science
Open Access
Yes
Create date
01/03/2016 19:01
Last modification date
07/04/2021 6:34