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Pavithran M S, Lukose J, Barik BK, Periasami A, Kartha VB, Chawla A, Chidangil S. Laser induced fluorescence spectroscopy analysis of kidney tissues: A pilot study for the identification of renal cell carcinoma. JOURNAL OF BIOPHOTONICS 2023; 16:e202300021. [PMID: 37589180 DOI: 10.1002/jbio.202300021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 07/31/2023] [Accepted: 08/15/2023] [Indexed: 08/18/2023]
Abstract
The 325 nm-excited autofluorescence spectra from cancerous and normal renal tissues were collected ex vivo biopsy tissue samples, through an optical fiber probe-based system. Noticeable changes in intensity/wavelength were observed in the fluorescence emissions from endogenous fluorophores such as collagen, Nicotinamide adenine dinucleotide (NADH), Vitamin A (retinol), and flavin adenine dinucleotide, in pathological conditions with respect to the normal state. The energy metabolism involved in clear cell renal cell carcinoma (ccRCC) and chromophobe renal cell carcinoma (chRCC) are reflected in the fluorescence emission band at 445 nm due to bound NADH attributed to enhanced oxidative phosphorylation in chRCC and emission at 465 nm contributed by free NADH showing higher glycolytic action in ccRCC. The principal component analysis and one-way ANOVA effectively discriminate ccRCC from chRCC. It is shown that laser induced fluorescence technique with 325 nm excitation can be a suitable technique for optical pathology and in vivo surgical boundary demarcation in renal cell carcinoma.
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Affiliation(s)
- Sanoop Pavithran M
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, India
| | - Jijo Lukose
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, India
| | - Bijay Kumar Barik
- Department of Biochemistry, Cell Biology and Genetics, College Medicine, American University of Antigua, Cell Biology and Genetics, American University of Antigua, College of Medicine, St. John's, Antigua and Barbuda
| | - Ammasi Periasami
- W.M. Keck Center for Cellular Imaging (KCCI), Biology, University of Virginia, Charlottesville, Virginia, USA
| | - V B Kartha
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, India
| | - Arun Chawla
- Department of Urology, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Santhosh Chidangil
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, India
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2
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Martín-Saiz L, Abad-García B, Solano-Iturri JD, Mosteiro L, Martín-Allende J, Rueda Y, Pérez-Fernández A, Unda M, Coterón-Ochoa P, Goya A, Saiz A, Martínez J, Ochoa B, Fresnedo O, Larrinaga G, Fernández JA. Using the Synergy between HPLC-MS and MALDI-MS Imaging to Explore the Lipidomics of Clear Cell Renal Cell Carcinoma. Anal Chem 2023; 95:2285-2293. [PMID: 36638042 PMCID: PMC9893214 DOI: 10.1021/acs.analchem.2c03953] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Lipid imaging mass spectrometry (LIMS) has been tested in several pathological contexts, demonstrating its ability to segregate and isolate lipid signatures in complex tissues, thanks to the technique's spatial resolution. However, it cannot yet compete with the superior identification power of high-performance liquid chromatography coupled to mass spectrometry (HPLC-MS), and therefore, very often, the latter is used to refine the assignment of the species detected by LIMS. Also, it is not clear if the differences in sensitivity and spatial resolution between the two techniques lead to a similar panel of biomarkers for a given disease. Here, we explore the capabilities of LIMS and HPLC-MS to produce a panel of lipid biomarkers to screen nephrectomy samples from 40 clear cell renal cell carcinoma patients. The same set of samples was explored by both techniques, and despite the important differences between them in terms of the number of detected and identified species (148 by LIMS and 344 by HPLC-MS in negative-ion mode) and the presence/absence of image capabilities, similar conclusions were reached: using the lipid fingerprint, it is possible to set up classifiers that correctly identify the samples as either healthy or tumor samples. The spatial resolution of LIMS enables extraction of additional information, such as the existence of necrotic areas or the existence of different tumor cell populations, but such information does not seem determinant for the correct classification of the samples, or it may be somehow compensated by the higher analytical power of HPLC-MS. Similar conclusions were reached with two very different techniques, validating their use for the discovery of lipid biomarkers.
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Affiliation(s)
- Lucía Martín-Saiz
- Department
of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), B. Sarriena, s/n, Leioa 48940, Spain
| | - Beatriz Abad-García
- Central
Analysis Service, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa 48940, Spain
| | - Jon D. Solano-Iturri
- Service
of Anatomic Pathology, Donostia University
Hospital, Donostia/San
Sebastian 20014, Spain,Biocruces
Bizkaia Health Research Institute, Barakaldo 48903, Spain
| | - Lorena Mosteiro
- Service
of Anatomic Pathology, Cruces University
Hospital, Barakaldo 48903, Spain
| | - Javier Martín-Allende
- Department
of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), B. Sarriena, s/n, Leioa 48940, Spain
| | - Yuri Rueda
- Lipids &
Liver, Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), B. Sarriena, s/n, Leioa 48940, Spain
| | | | - Miguel Unda
- Service
of Urology, Basurto University Hospital, Bilbao 48003, Spain
| | - Pedro Coterón-Ochoa
- Service
of Urology, Galdakao-Usansolo University
Hospital, Galdakao 48960, Spain
| | - Aintzane Goya
- Service
of Urology, Galdakao-Usansolo University
Hospital, Galdakao 48960, Spain
| | - Alberto Saiz
- Service
of Anatomic Pathology, Galdakao-Usansolo
University Hospital, Galdakao 48960, Spain
| | - Jennifer Martínez
- Service
of Anatomic Pathology, Galdakao-Usansolo
University Hospital, Galdakao 48960, Spain
| | - Begoña Ochoa
- Lipids &
Liver, Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), B. Sarriena, s/n, Leioa 48940, Spain
| | - Olatz Fresnedo
- Lipids &
Liver, Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), B. Sarriena, s/n, Leioa 48940, Spain
| | - Gorka Larrinaga
- Biocruces
Bizkaia Health Research Institute, Barakaldo 48903, Spain,Department
of Nursing and Department of Physiology, Faculty of Medicine and Nursing (UPV/EHU), Leioa 48940, Spain
| | - José A. Fernández
- Department
of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), B. Sarriena, s/n, Leioa 48940, Spain,. Phone: +34 6015387
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3
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Czétány P, Gitta S, Balló A, Sulc A, Máté G, Szántó Á, Márk L. Application of Mass Spectrometry Imaging in Uro-Oncology: Discovering Potential Biomarkers. Life (Basel) 2022; 12:life12030366. [PMID: 35330118 PMCID: PMC8954359 DOI: 10.3390/life12030366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/25/2022] [Accepted: 02/25/2022] [Indexed: 11/17/2022] Open
Abstract
A growing need is emerging worldwide for new molecular markers which could enhance the accuracy of diagnostic and therapeutic methods for detecting urogenital cancers. Mass spectrometry imaging (MSI) is a very promising tool in this regard. In this review, we attempt to provide a subjective summary of the latest publications on potential biomarkers of renal, bladder, prostate, and testicular malignancies detected with MSI through the eyes of a clinical urologist.
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Affiliation(s)
- Péter Czétány
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Urology Clinic, University of Pécs Clinical Centre, 7621 Pécs, Hungary
| | - Stefánia Gitta
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Department of Biochemistry and Medical Chemistry, University of Pécs Medical School, 7624 Pécs, Hungary
| | - András Balló
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Urology Clinic, University of Pécs Clinical Centre, 7621 Pécs, Hungary
- Pannon Reproduction Institute, 8300 Tapolca, Hungary
| | - Alexandra Sulc
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Department of Biochemistry and Medical Chemistry, University of Pécs Medical School, 7624 Pécs, Hungary
| | - Gábor Máté
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Pannon Reproduction Institute, 8300 Tapolca, Hungary
| | - Árpád Szántó
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Urology Clinic, University of Pécs Clinical Centre, 7621 Pécs, Hungary
| | - László Márk
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Department of Biochemistry and Medical Chemistry, University of Pécs Medical School, 7624 Pécs, Hungary
- MTA-PTE Human Reproduction Research Group, 7624 Pécs, Hungary
- Correspondence: ; Tel.: +36-304-734-714
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Prade VM, Sun N, Shen J, Feuchtinger A, Kunzke T, Buck A, Schraml P, Moch H, Schwamborn K, Autenrieth M, Gschwend JE, Erlmeier F, Hartmann A, Walch A. The synergism of spatial metabolomics and morphometry improves machine learning‐based renal tumour subtype classification. Clin Transl Med 2022; 12:e666. [PMID: 35184396 PMCID: PMC8858620 DOI: 10.1002/ctm2.666] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 11/11/2021] [Accepted: 11/17/2021] [Indexed: 12/14/2022] Open
Affiliation(s)
- Verena M. Prade
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
| | - Na Sun
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
| | - Jian Shen
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
| | - Thomas Kunzke
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
| | - Achim Buck
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
| | - Peter Schraml
- Institute of Pathology and Molecular Pathology University Hospital Zurich Zurich Switzerland
| | - Holger Moch
- Institute of Pathology and Molecular Pathology University Hospital Zurich Zurich Switzerland
| | | | | | | | - Franziska Erlmeier
- Institute of Pathology, University Hospital Erlangen Friedrich‐Alexander‐University Erlangen‐Nürnberg Erlangen Germany
- Comprehensive Cancer Center Erlangen‐EMN (CCC ER‐EMN) Erlangen Germany
| | - Arndt Hartmann
- Institute of Pathology, University Hospital Erlangen Friedrich‐Alexander‐University Erlangen‐Nürnberg Erlangen Germany
- Comprehensive Cancer Center Erlangen‐EMN (CCC ER‐EMN) Erlangen Germany
| | - Axel Walch
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
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