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Raghunathan R, Vasquez M, Zhang K, Zhao H, Wong STC. Label-free optical imaging for brain cancer assessment. Trends Cancer 2024; 10:557-570. [PMID: 38575412 PMCID: PMC11168891 DOI: 10.1016/j.trecan.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 03/12/2024] [Accepted: 03/13/2024] [Indexed: 04/06/2024]
Abstract
Advances in label-free optical imaging offer a promising avenue for brain cancer assessment, providing high-resolution, real-time insights without the need for radiation or exogeneous agents. These cost-effective and intricately detailed techniques overcome the limitations inherent in magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) scans by offering superior resolution and more readily accessible imaging options. This comprehensive review explores a variety of such methods, including photoacoustic imaging (PAI), optical coherence tomography (OCT), Raman imaging, and IR microscopy. It focuses on their roles in the detection, diagnosis, and management of brain tumors. By highlighting recent advances in these imaging techniques, the review aims to underscore the importance of label-free optical imaging in enhancing early detection and refining therapeutic strategies for brain cancer.
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Affiliation(s)
- Raksha Raghunathan
- Department of Systems Medicine and Bioengineering and T.T. and W.F. Chao Center for BRAIN, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA; Advanced Cellular and Tissue Microscopy Core, Houston Methodist Neal Cancer Center and Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Matthew Vasquez
- Department of Systems Medicine and Bioengineering and T.T. and W.F. Chao Center for BRAIN, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA; Advanced Cellular and Tissue Microscopy Core, Houston Methodist Neal Cancer Center and Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Katherine Zhang
- Department of Systems Medicine and Bioengineering and T.T. and W.F. Chao Center for BRAIN, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA; Advanced Cellular and Tissue Microscopy Core, Houston Methodist Neal Cancer Center and Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Hong Zhao
- Department of Systems Medicine and Bioengineering and T.T. and W.F. Chao Center for BRAIN, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA; Advanced Cellular and Tissue Microscopy Core, Houston Methodist Neal Cancer Center and Houston Methodist Research Institute, Houston, TX 77030, USA; Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA.
| | - Stephen T C Wong
- Department of Systems Medicine and Bioengineering and T.T. and W.F. Chao Center for BRAIN, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA; Advanced Cellular and Tissue Microscopy Core, Houston Methodist Neal Cancer Center and Houston Methodist Research Institute, Houston, TX 77030, USA; Departments of Radiology, Pathology, and Laboratory Medicine and Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10065, USA
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Aeindartehran L, Sadri Z, Rahimi F, Alinejad T. Fluorescence in depth: integration of spectroscopy and imaging with Raman, IR, and CD for advanced research. Methods Appl Fluoresc 2024; 12:032002. [PMID: 38697201 DOI: 10.1088/2050-6120/ad46e6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 05/02/2024] [Indexed: 05/04/2024]
Abstract
Fluorescence spectroscopy serves as a vital technique for studying the interaction between light and fluorescent molecules. It encompasses a range of methods, each presenting unique advantages and applications. This technique finds utility in various chemical studies. This review discusses Fluorescence spectroscopy, its branches such as Time-Resolved Fluorescence Spectroscopy (TRFS) and Fluorescence Lifetime Imaging Microscopy (FLIM), and their integration with other spectroscopic methods, including Raman, Infrared (IR), and Circular Dichroism (CD) spectroscopies. By delving into these methods, we aim to provide a comprehensive understanding of the capabilities and significance of fluorescence spectroscopy in scientific research, highlighting its diverse applications and the enhanced understanding it brings when combined with other spectroscopic methods. This review looks at each technique's unique features and applications. It discusses the prospects of their combined use in advancing scientific understanding and applications across various domains.
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Affiliation(s)
- Lida Aeindartehran
- Department of Chemistry, Southern Methodist University, Dallas, Texas 75275, United States of America
| | - Zahra Sadri
- Department of Biological Science, Southern Methodist University, Dallas, Texas 75205, United States of America
| | - Fateme Rahimi
- Department of Chemical Engineering, Babol Noshirvani University of Technology, Babol, Iran
| | - Tahereh Alinejad
- The Key Laboratory of Interventional Pulmonology of Zhejiang Province, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, South Baixiang, Ouhai District, Wenzhou 325015, Zhejiang, People's Republic of China
- Institute of Cell Growth Factor, Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision, and Brain Health), Wenzhou Medical University, Wenzhou 325000, People's Republic of China
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3
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Félix MM, Tavares MV, Santos IP, Batista de Carvalho ALM, Batista de Carvalho LAE, Marques MPM. Cervical Squamous Cell Carcinoma Diagnosis by FTIR Microspectroscopy. Molecules 2024; 29:922. [PMID: 38474435 DOI: 10.3390/molecules29050922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/09/2024] [Accepted: 02/17/2024] [Indexed: 03/14/2024] Open
Abstract
Cervical cancer was considered the fourth most common cancer worldwide in 2020. In order to reduce mortality, an early diagnosis of the tumor is required. Currently, this type of cancer occurs mostly in developing countries due to the lack of vaccination and screening against the Human Papillomavirus. Thus, there is an urgent clinical need for new methods aiming at a reliable screening and an early diagnosis of precancerous and cancerous cervical lesions. Vibrational spectroscopy has provided very good results regarding the diagnosis of various tumors, particularly using Fourier transform infrared microspectroscopy, which has proved to be a promising complement to the currently used histopathological methods of cancer diagnosis. This spectroscopic technique was applied to the analysis of cryopreserved human cervical tissue samples, both squamous cell carcinoma (SCC) and non-cancer samples. A dedicated Support Vector Machine classification model was constructed in order to categorize the samples into either normal or malignant and was subsequently validated by cross-validation, with an accuracy higher than 90%.
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Affiliation(s)
- Maria M Félix
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535 Coimbra, Portugal
| | - Mariana V Tavares
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535 Coimbra, Portugal
- Gynaecology Department, Portuguese Oncology Institute of Porto, 4200-072 Porto, Portugal
| | - Inês P Santos
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535 Coimbra, Portugal
| | - Ana L M Batista de Carvalho
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535 Coimbra, Portugal
| | - Luís A E Batista de Carvalho
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535 Coimbra, Portugal
| | - Maria Paula M Marques
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535 Coimbra, Portugal
- Department of Life Sciences, Faculty of Science and Technology, University of Coimbra, 3000-456 Coimbra, Portugal
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Olbrich K, Setkowicz Z, Kawon K, Czyzycki M, Janik-Olchawa N, Carlomagno I, Aquilanti G, Chwiej J. Vibrational spectroscopy methods for investigation of the animal models of glioblastoma multiforme. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 303:123230. [PMID: 37586277 DOI: 10.1016/j.saa.2023.123230] [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: 02/16/2023] [Revised: 06/26/2023] [Accepted: 08/01/2023] [Indexed: 08/18/2023]
Abstract
Glioblastoma multiforme (GBM) is the most common and devastating primary brain tumor among adults. It is highly lethal disease, as only 25% of patients survive longer than 1 year and only 5% more than 5 years from the diagnosis. To search for the new, more effective methods of treatment, the understanding of mechanisms underlying the process of tumorigenesis is needed. The new light on this problem may be shed by the analysis of biochemical anomalies of tissues affected by tumor growth. Therefore, in the present work, we applied the Fourier transform infrared (FTIR) and Raman microspectroscopy to evaluate changes in the distribution and structure of biomolecules appearing in the rat brain as a result of glioblastoma development. In turn, synchrotron X-ray fluorescence microscopy was utilized to determine the elemental anomalies appearing in the nervous tissue. To achieve the assumed goals of the study animal models of GBM were used. The rats were subjected to the intracranial implantation of glioma cells with different degree of invasiveness. For spectroscopic investigation brain slices taken from the area of cancer cells administration were used. The obtained results revealed, among others, the decrease content of lipids and compounds containing carbonyl groups, compositional and structural changes of proteins as well as abnormalities in the distribution of low atomic number elements within the region of tumor.
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Affiliation(s)
- Karolina Olbrich
- Faculty of Physics and Applied Computer Science, AGH University of Krakow, Krakow, Poland
| | - Zuzanna Setkowicz
- Institute of Zoology and Biomedical Research, Jagiellonian University, Krakow, Poland
| | - Kamil Kawon
- Faculty of Physics and Applied Computer Science, AGH University of Krakow, Krakow, Poland
| | - Mateusz Czyzycki
- Institute for Photon Science and Synchrotron Radiation, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
| | - Natalia Janik-Olchawa
- Institute of Zoology and Biomedical Research, Jagiellonian University, Krakow, Poland
| | | | | | - Joanna Chwiej
- Faculty of Physics and Applied Computer Science, AGH University of Krakow, Krakow, Poland.
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Mohammadimatin P, Parvin P, Jafargholi A, Jahanbakhshi A, Ahmadinouri F, Tabibkhooei A, Heidari O, Salarinejad S. Signal enhancement in spark-assisted laser-induced breakdown spectroscopy for discrimination of glioblastoma and oligodendroglioma lesions. BIOMEDICAL OPTICS EXPRESS 2023; 14:5795-5816. [PMID: 38021132 PMCID: PMC10659799 DOI: 10.1364/boe.497234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/16/2023] [Accepted: 09/18/2023] [Indexed: 12/01/2023]
Abstract
Here, the discrimination of two types of lethal brain cancers, i.e., glioblastoma multiforme (GBM) and oligodendroglioma (OG) are investigated under the laser-induced breakdown spectroscopy (LIBS) and the electrical spark-assisted laser-induced breakdown spectroscopy (SA-LIBS) in order to discriminate the human brain glioma lesions against the infiltrated tissues. It is shown there are notable differences between the plasma emissions over the brain gliomas against those of infiltrated tissues. In fact, a notable enhancement appears in the characteristic emissions in favor of SA-LIBS against those of conventional LIB spectra. Moreover, the plasma properties such as temperature, electron density, and degree of ionization are probed through the data processing of the plasma emissions. The corresponding parameters, taken from SA-LIBS data, attest to be lucidly larger than those of LIBS up to one order of magnitude. In addition, the ionic species such as Mg II characteristic line at 279 nm and caII emission at 393 nm are notably enhanced in favor of SA-LIBS. In general, the experimental evidence verifies that SA-LIBS is beneficial in the discrimination and grading of GBM/OG neoplasia against healthy (infiltrate) tissues in the early stages.
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Affiliation(s)
- Parisa Mohammadimatin
- Department of Physics and Energy
Engineering, Amirkabir University of Technology, P.O. Box 15875-4413, Tehran, Iran
| | - Parviz Parvin
- Department of Physics and Energy
Engineering, Amirkabir University of Technology, P.O. Box 15875-4413, Tehran, Iran
| | - Amir Jafargholi
- Department of Electronic and Electrical
Engineering, University College London
(UCL), United
Kingdom
| | - Amin Jahanbakhshi
- Stem Cell and Regenerative Medicine
Research Center, Iran University of Medical
Sciences, P.O. Box, 1997667665, Tehran, Iran
| | - Fatemeh Ahmadinouri
- Department of Physics and Energy
Engineering, Amirkabir University of Technology, P.O. Box 15875-4413, Tehran, Iran
| | - Alireza Tabibkhooei
- Skull Base Research Center, Department of
Neurosurgery, Iran University of Medical
Sciences, P.O. Box, 1997667665, Tehran, Iran
| | - Omid Heidari
- Department of Physics and Energy
Engineering, Amirkabir University of Technology, P.O. Box 15875-4413, Tehran, Iran
| | - Sareh Salarinejad
- Shohada-e-Tajrish Hospital, Department of
Pathology, Faculty of Medicine, Shahid Beheshti
University of Medical Sciences, P.O. box 1985717443,
Tehran, Iran
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Guleken Z, Ceylan Z, Aday A, Bayrak AG, Hindilerden İY, Nalçacı M, Jakubczyk P, Jakubczyk D, Kula-Maximenko M, Depciuch J. Detection of primary myelofibrosis in blood serum via Raman spectroscopy assisted by machine learning approaches; correlation with clinical diagnosis. NANOMEDICINE : NANOTECHNOLOGY, BIOLOGY, AND MEDICINE 2023; 53:102706. [PMID: 37633405 DOI: 10.1016/j.nano.2023.102706] [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: 03/03/2023] [Revised: 08/19/2023] [Accepted: 08/19/2023] [Indexed: 08/28/2023]
Abstract
Primary myelofibrosis (PM) is one of the myeloproliferative neoplasm, where stem cell-derived clonal neoplasms was noticed. Diagnosis of this disease is based on: physical examination, peripheral blood findings, bone marrow morphology, cytogenetics, and molecular markers. However, the molecular marker of PM, which is a mutation in the JAK2V617F gene, was observed also in other myeloproliferative neoplasms such as polycythemia vera and essential thrombocythemia. Therefore, there is a need to find methods that provide a marker unique to PM and allow for higher accuracy of PM diagnosis and consequently the treatment of the disease. Continuing, in this study, we used Raman spectroscopy, Principal Components Analysis (PCA), and Partial Least Squares (PLS) analysis as helpful diagnostic tools for PM. Consequently, we used serum collected from PM patients, which were classified using clinical parameters of PM such as the dynamic international prognostic scoring system (DIPSS) for primary myelofibrosis plus score, the JAK2V617F mutation, spleen size, bone marrow reticulin fibrosis degree and use of hydroxyurea drug features. Raman spectra showed higher amounts of C-H, C-C and C-C/C-N and amide II and lower amounts of amide I and vibrations of CH3 groups in PM patients than in healthy ones. Furthermore, shifts of amides II and I vibrations in PM patients were noticed. Machine learning methods were used to analyze Raman regions: (i) 800 cm-1 and 1800 cm-1, (ii) 1600 cm-1-1700 cm-1, and (iii) 2700 cm-1-3000 cm-1 showed 100 % accuracy, sensitivity, and specificity. Differences in the spectral dynamic showed that differences in the amide II and amide I regions were the most significant in distinguishing between PM and healthy subjects. Importantly, until now, the efficacy of Raman spectroscopy has not been established in clinical diagnostics of PM disease using the correlation between Raman spectra and PM clinical prognostic scoring. Continuing, our results showed the correlation between Raman signals and bone marrow fibrosis, as well as JAKV617F. Consequently, the results revealed that Raman spectroscopy has a high potential for use in medical laboratory diagnostics to quantify multiple biomarkers simultaneously, especially in the selected Raman regions.
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Affiliation(s)
- Zozan Guleken
- Faculty of Medicine, Department of Physiology, Gaziantep Islam Science and Technology University, Gaziantep, Turkey; Faculty of Medicine, Rzeszów University, Rzeszów, Poland.
| | - Zeynep Ceylan
- Samsun University, Faculty of Engineering, Department of Industrial Engineering, Samsun, Turkey
| | - Aynur Aday
- Istanbul University, Faculty of Medicine, Department of Internal Medicine, Division of Medical Genetics, Turkey
| | - Ayşe Gül Bayrak
- Istanbul University, Faculty of Medicine, Department of Internal Medicine, Division of Medical Genetics, Turkey
| | - İpek Yönal Hindilerden
- Istanbul University Istanbul Faculty of Medicine, Department of Internal Medicine, Division of Hematology, Turkey
| | - Meliha Nalçacı
- Istanbul University Istanbul Faculty of Medicine, Department of Internal Medicine, Division of Hematology, Turkey
| | | | - Dorota Jakubczyk
- Faculty of Mathematics and Applied Physics, Rzeszow University of Technology, Powstancow Warszawy 12, PL-35959 Rzeszow, Poland
| | - Monika Kula-Maximenko
- Institute of Plant Physiology, Polish Academy of Sciences, Niezapominajek 21, 30-239 Kraków, Poland
| | - Joanna Depciuch
- Institute of Nuclear Physics, PAS, 31342 Krakow, Poland; Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093 Lublin, Poland.
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Murugappan S, Tofail SAM, Thorat ND. Raman Spectroscopy: A Tool for Molecular Fingerprinting of Brain Cancer. ACS OMEGA 2023; 8:27845-27861. [PMID: 37576695 PMCID: PMC10413827 DOI: 10.1021/acsomega.3c01848] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 07/12/2023] [Indexed: 08/15/2023]
Abstract
Brain cancer is one of those few cancers with very high mortality and low five-year survival rate. First and foremost reason for the woes is the difficulty in diagnosing and monitoring the progression of brain tumors both benign and malignant, noninvasively and in real time. This raises a need in this hour for a tool to diagnose the tumors in the earliest possible time frame. On the other hand, Raman spectroscopy which is well-known for its ability to precisely represent the molecular markers available in any sample given, including biological ones, with great sensitivity and specificity. This has led to a number of studies where Raman spectroscopy has been used in brain tumors in various ways. This review article highlights the fundamentals of Raman spectroscopy and its types including conventional Raman, SERS, SORS, SRS, CARS, etc. are used in brain tumors for diagnostics, monitoring, and even theragnostics, collating all the major works in the area. Also, the review explores how Raman spectroscopy can be even more effectively used in theragnostics and the clinical level which would make them a one-stop solution for all brain cancer needs in the future.
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Affiliation(s)
- Sivasubramanian Murugappan
- Department of Physics, Bernal
Institute and Limerick Digital Cancer Research Centre (LDCRC)
University of Limerick, Castletroy, Limerick V94T9PX, Ireland
| | - Syed A. M. Tofail
- Department of Physics, Bernal
Institute and Limerick Digital Cancer Research Centre (LDCRC)
University of Limerick, Castletroy, Limerick V94T9PX, Ireland
| | - Nanasaheb D. Thorat
- Department of Physics, Bernal
Institute and Limerick Digital Cancer Research Centre (LDCRC)
University of Limerick, Castletroy, Limerick V94T9PX, Ireland
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Dučić T, Koch JC. Synchrotron-Based Fourier-Transform Infrared Micro-Spectroscopy of Cerebrospinal Fluid from Amyotrophic Lateral Sclerosis Patients Reveals a Unique Biomolecular Profile. Cells 2023; 12:1451. [PMID: 37296572 PMCID: PMC10253168 DOI: 10.3390/cells12111451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/12/2023] [Accepted: 05/17/2023] [Indexed: 06/12/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease, with the most common adult-onset neurodegenerative disorder affecting motoneurons. Although disruptions in macromolecular conformation and homeostasis have been described in association with ALS, the underlying pathological mechanisms are still not completely understood, and unambiguous biomarkers are lacking. Fourier Transform Infrared Spectroscopy (FTIR) of cerebrospinal fluid (CSF) is appealing to extensive interest due to its potential to resolve biomolecular conformation and content, as this approach offers a non-invasive, label-free identification of specific biologically relevant molecules in a few microliters of CSF sample. Here, we analyzed the CSF of 33 ALS patients compared to 32 matched controls using FTIR spectroscopy and multivariate analysis and demonstrated major differences in the molecular contents. A significant change in the conformation and concentration of RNA is demonstrated. Moreover, significantly increased glutamate and carbohydrates are found in ALS. Moreover, key markers of lipid metabolism are strongly altered; specifically, we find a decrease in unsaturated lipids and an increase in peroxidation of lipids in ALS, whereas the total amount of lipids compared to proteins is reduced. Our study demonstrates that FTIR characterization of CSF could represent a powerful tool for ALS diagnosis and reveals central features of ALS pathophysiology.
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Affiliation(s)
- Tanja Dučić
- CELLS−ALBA, Carrer de la Llum 2-26, Cerdanyola del Valles, 08290 Barcelona, Spain
| | - Jan Christoph Koch
- Department of Neurology, University Medicine Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany
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Tołpa B, Depciuch J, Jakubczyk P, Paja W, Pancerz K, Wosiak A, Kaznowska E, Gala-Błądzińska A, Cebulski J. Fourier transform infrared spectroscopic marker of glioblastoma ob-tained from machine learning and changes in the spectra. Photodiagnosis Photodyn Ther 2023; 42:103550. [PMID: 37024000 DOI: 10.1016/j.pdpdt.2023.103550] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 03/27/2023] [Accepted: 03/31/2023] [Indexed: 04/08/2023]
Abstract
BACKGROUND Glioblastoma is the most malignant brain cancer with an average survival rate of 5 years. In neurosurgical practice, it is impossible to completely remove a glioblastoma because of difficulties in the intraoperative assessment of the boundaries between healthy brain tissue and glioblastoma cells. Therefore, it is important to find a new, quick, cost-effective and useful neurosurgical practice method for the intraoperative differentiation of glioblastoma from healthy brain tissue. METHODS Herein, the features of absorbance at specific wavenumbers considered characteristic of glioblastoma tissues could be markers of this cancer. We used Fourier transform infrared spectroscopy to measure the spectra of tissues collected from control and patients suffering from glioblastoma. RESULTS The spectrum obtained from glioblastoma tissues demonstrated an additional peak at 1612 cm-1 and a shift of peaks at 1675 cm-1 and 1637 cm-1. Deconvolution of amide I vibrations showed that in the glioblastoma tissue, the percentage amount of β-sheet is around 20% higher than that in the control. Moreover, the principal component analysis showed that using fingerprint and amide I regions it is possible to distinguish cancer and non-cancer samples. Machine learning methods presented that the accuracy of the results is around 100%. Finally, analysis of the differences in the rate of change of Fourier transform infrared spectroscopy spectra showed that absorbance features between 1053 cm-1 and 1056 cm-1 as well as between 1564 cm-1 and 1588 cm-1 are characteristic of glioblastoma. CONCLUSION Calculated features of absorbance at specific wavenumbers could be used as a spectroscopic marker of glioblastoma which may be useful in the future for neuronavigation.
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Affiliation(s)
- Bartłomiej Tołpa
- Department of Neurosurgery, Clinical Hospital Nr 2 in Rzeszow, Lwowska 60, 35-309, Poland
| | - Joanna Depciuch
- Institute of Nuclear Physics, Polish Academy of Sciences, 31-342 Krakow, Poland; Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093 Lublin, Poland.
| | - Paweł Jakubczyk
- Institute of Physics, College of Natural Sciences, University of Rzeszow, PL-35959 Rzeszow Poland
| | - Wiesław Paja
- Institute of Computer Science, College of Natural Sciences, University of Rzeszow, Poland
| | - Krzysztof Pancerz
- Institute of Philosophy, John Paul II Catholic University of Lublin, Poland
| | - Agnieszka Wosiak
- Institute of Information Technology, Lodz University of Technology, Poland
| | - Ewa Kaznowska
- Institute of Medical Sciences, Medical College of Rzeszów University, Rzeszów, Poland
| | | | - Józef Cebulski
- Institute of Physics, College of Natural Sciences, University of Rzeszow, PL-35959 Rzeszow Poland
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10
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Infrared Spectroscopy as a Potential Diagnostic Tool for Medulloblastoma. Molecules 2023; 28:molecules28052390. [PMID: 36903631 PMCID: PMC10005236 DOI: 10.3390/molecules28052390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 02/28/2023] [Accepted: 03/03/2023] [Indexed: 03/08/2023] Open
Abstract
INTRODUCTION Medulloblastoma (MB) is the most common malignant tumor of the central nervous system in childhood. FTIR spectroscopy provides a holistic view of the chemical composition of biological samples, including the detection of molecules such as nucleic acids, proteins, and lipids. This study evaluated the applicability of FTIR spectroscopy as a potential diagnostic tool for MB. MATERIALS AND METHODS FTIR spectra of MB samples from 40 children (boys/girls: 31/9; age: median 7.8 years, range 1.5-21.5 years) treated in the Oncology Department of the Children's Memorial Health Institute in Warsaw between 2010 and 2019 were analyzed. The control group consisted of normal brain tissue taken from four children diagnosed with causes other than cancer. Formalin-fixed and paraffin-embedded tissues were sectioned and used for FTIR spectroscopic analysis. The sections were examined in the mid-infrared range (800-3500 cm-1) by ATR-FTIR. Spectra were analysed using a combination of principal component analysis, hierarchical cluster analysis, and absorbance dynamics. RESULTS FTIR spectra in MB were significantly different from those of normal brain tissue. The most significant differences related to the range of nucleic acids and proteins in the region 800-1800 cm-1. Some major differences were also revealed in the quantification of protein conformations (α-helices, β-sheets, and others) in the amide I band, as well as in the absorbance dynamics in the 1714-1716 cm-1 range (nucleic acids). It was not, however, possible to clearly distinguish between the various histological subtypes of MB using FTIR spectroscopy. CONCLUSIONS MB and normal brain tissue can be distinguished from one another to some extent using FTIR spectroscopy. As a result, it may be used as a further tool to hasten and enhance histological diagnosis.
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11
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Wilk A, Drozdz A, Olbrich K, Janik-Olchawa N, Setkowicz Z, Chwiej J. Influence of measurement mode on the results of glioblastoma multiforme analysis with the FTIR microspectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 287:122086. [PMID: 36423418 DOI: 10.1016/j.saa.2022.122086] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 11/02/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
Fourier Transform Infrared (FTIR) microspectroscopy is well known for its effectiveness in spectral and biochemical analyses of various materials. It enables to determine the sample biochemical composition by assigning detected frequencies, characteristic for functional groups of main biological macromolecules. In analysis of tissue sections one of two measurement modes, namely transmission and transflection, is usually applied. The first one has relatively straightforward geometry, hence it is considered to be more precise and accurate. However, IR-transparent media are very fragile and expensive. Transflection does not require expensive substrates, but is more prone to disruptive influence of Mie scattering as well as electric field standing wave effect. The excessive comparison of spectra' characteristics, obtained via both measurement modes, was performed in this paper. By the means of Mann-Whitney non-parametrical U test and PCA, the comparison of results obtained with both modes and assessment of usefulness of IR spectra obtained with transmission and transflection modes to differentiate between healthy and GBM-affected tissue, were performed. The main objective of the presented research is to compare the results of FTIR analysis of unfixed biological samples performed with transflection and transmission mode. In frame of the study we demonstrated the discrepancies between results of biochemical analysis performed based on data obtained with transmission and transflection. Such observation suggests that caution should be taken in drawing conclusions from the results obtained with transflection geometry, as its more prone to disruptive effects. Despite that, IR spectra developed with both modes allowed to distinguish GBM area from healthy tissue, which proves their diagnostic potential. Especially, application of the ME-EMSC correction of spectra before PCA enhances the performance of both methods to distinguish the analysed tissue areas.
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Affiliation(s)
- Aleksandra Wilk
- Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland
| | - Agnieszka Drozdz
- Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland; Faculty of Biology and Biotechnology, Maria Curie-Sklodowska University, Akademicka 19, 20-033 Lublin, Poland.
| | - Karolina Olbrich
- Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland
| | - Natalia Janik-Olchawa
- Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland
| | - Zuzanna Setkowicz
- Institute of Zoology and Biomedical Research, Jagiellonian University, Gronostajowa 9, 30-387 Krakow, Poland
| | - Joanna Chwiej
- Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland
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12
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Li C, Feng C, Xu R, Jiang B, Li L, He Y, Tu C, Li Z. The emerging applications and advancements of Raman spectroscopy in pediatric cancers. Front Oncol 2023; 13:1044177. [PMID: 36814817 PMCID: PMC9939836 DOI: 10.3389/fonc.2023.1044177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 01/18/2023] [Indexed: 02/09/2023] Open
Abstract
Although the survival rate of pediatric cancer has significantly improved, it is still an important cause of death among children. New technologies have been developed to improve the diagnosis, treatment, and prognosis of pediatric cancers. Raman spectroscopy (RS) is a non-destructive analytical technique that uses different frequencies of scattering light to characterize biological specimens. It can provide information on biological components, activities, and molecular structures. This review summarizes studies on the potential of RS in pediatric cancers. Currently, studies on the application of RS in pediatric cancers mainly focus on early diagnosis, prognosis prediction, and treatment improvement. The results of these studies showed high accuracy and specificity. In addition, the combination of RS and deep learning is discussed as a future application of RS in pediatric cancer. Studies applying RS in pediatric cancer illustrated good prospects. This review collected and analyzed the potential clinical applications of RS in pediatric cancers.
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Affiliation(s)
- Chenbei Li
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, China,Department of Orthopaedics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chengyao Feng
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, China,Department of Orthopaedics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Ruiling Xu
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, China,Department of Orthopaedics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Buchan Jiang
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, China,Department of Orthopaedics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Lan Li
- Department of Pathology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yu He
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chao Tu
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, China,Department of Orthopaedics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,*Correspondence: Chao Tu, ; Zhihong Li,
| | - Zhihong Li
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, China,Department of Orthopaedics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,*Correspondence: Chao Tu, ; Zhihong Li,
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13
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Depciuch J, Jakubczyk P, Paja W, Pancerz K, Wosiak A, Kula-Maximenko M, Yaylım İ, Gültekin Gİ, Tarhan N, Hakan MT, Sönmez D, Sarıbal D, Arıkan S, Guleken Z. Correlation between human colon cancer specific antigens and Raman spectra. Attempting to use Raman spectroscopy in the determination of tumor markers for colon cancer. NANOMEDICINE : NANOTECHNOLOGY, BIOLOGY, AND MEDICINE 2023; 48:102657. [PMID: 36646194 DOI: 10.1016/j.nano.2023.102657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 12/06/2022] [Accepted: 01/02/2023] [Indexed: 01/15/2023]
Abstract
Colorectal cancer is the second most common cause of cancer-related deaths worldwide. To follow up on the progression of the disease, tumor markers are commonly used. Here, we report serum analysis based on Raman spectroscopy to provide a rapid cancer diagnosis with tumor markers and two new cell adhesion molecules measured using the ELİSA method. Raman spectra showed higher Raman intensities at 1447 cm-1 1560 cm-1, 1665 cm-1, and 1769 cm-1, which originated from CH2 proteins and lipids, amide II and amide I, and CO lipids vibrations. Furthermore, the correlation test showed, that only the CEA colon cancer marker correlated with the Raman spectra. Importantly, machine learning methods showed, that the accuracy of the Raman method in the detection of colon cancer was around 95 %. Obtained results suggest, that Raman shifts at 1302 cm-1 and 1306 cm-1 can be used as spectroscopy markers of colon cancer.
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Affiliation(s)
- Joanna Depciuch
- Institute of Nuclear Physics Polish Academy of Science, 31-342 Krakow, Poland.
| | | | - Wiesław Paja
- Institute of Computer Science, University of Rzeszow, Poland
| | - Krzysztof Pancerz
- Institute of Philosophy, John Paul II Catholic University of Lublin, Poland
| | - Agnieszka Wosiak
- Institute of Information Technology, Lodz University of Technology, Poland
| | - Monika Kula-Maximenko
- The Franciszek Górski Institute of Plant Physiology, Polish Academy of Sciences, ul. Niezapominajek 21, 30-239 Kraków, Poland
| | - İlhan Yaylım
- Istanbul University, Aziz Sancar Institute of Molecular Medicine, Istanbul, Turkey
| | | | | | | | - Dilara Sönmez
- Istanbul University, Aziz Sancar Institute of Molecular Medicine, Istanbul, Turkey
| | - Devrim Sarıbal
- Department of Biophysics, Cerrahpaşa Medical School, Istanbul, Turkey
| | - Soykan Arıkan
- Istanbul Education and Research Hospital, Department of General Surgery, Istanbul, Turkey; Cam and Sakura City Hospital, Istanbul, Turkey
| | - Zozan Guleken
- Uskudar University, Faculty of Medicine, Department of Physiology, Istanbul, Turkey.
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Raman Spectroscopy as a Tool to Study the Pathophysiology of Brain Diseases. Int J Mol Sci 2023; 24:ijms24032384. [PMID: 36768712 PMCID: PMC9917237 DOI: 10.3390/ijms24032384] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 01/27/2023] Open
Abstract
The Raman phenomenon is based on the spontaneous inelastic scattering of light, which depends on the molecular characteristics of the dispersant. Therefore, Raman spectroscopy and imaging allow us to obtain direct information, in a label-free manner, from the chemical composition of the sample. Since it is well established that the development of many brain diseases is associated with biochemical alterations of the affected tissue, Raman spectroscopy and imaging have emerged as promising tools for the diagnosis of ailments. A combination of Raman spectroscopy and/or imaging with tagged molecules could also help in drug delivery and tracing for treatment of brain diseases. In this review, we first describe the basics of the Raman phenomenon and spectroscopy. Then, we delve into the Raman spectroscopy and imaging modes and the Raman-compatible tags. Finally, we center on the application of Raman in the study, diagnosis, and treatment of brain diseases, by focusing on traumatic brain injury and ischemia, neurodegenerative disorders, and brain cancer.
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15
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Abdul Rashid K, Ibrahim K, Wong JHD, Mohd Ramli N. Lipid Alterations in Glioma: A Systematic Review. Metabolites 2022; 12:metabo12121280. [PMID: 36557318 PMCID: PMC9783089 DOI: 10.3390/metabo12121280] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/08/2022] [Accepted: 11/29/2022] [Indexed: 12/23/2022] Open
Abstract
Gliomas are highly lethal tumours characterised by heterogeneous molecular features, producing various metabolic phenotypes leading to therapeutic resistance. Lipid metabolism reprogramming is predominant and has contributed to the metabolic plasticity in glioma. This systematic review aims to discover lipids alteration and their biological roles in glioma and the identification of potential lipids biomarker. This systematic review was conducted using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. Extensive research articles search for the last 10 years, from 2011 to 2021, were conducted using four electronic databases, including PubMed, Web of Science, CINAHL and ScienceDirect. A total of 158 research articles were included in this study. All studies reported significant lipid alteration between glioma and control groups, impacting glioma cell growth, proliferation, drug resistance, patients' survival and metastasis. Different lipids demonstrated different biological roles, either beneficial or detrimental effects on glioma. Notably, prostaglandin (PGE2), triacylglycerol (TG), phosphatidylcholine (PC), and sphingosine-1-phosphate play significant roles in glioma development. Conversely, the most prominent anti-carcinogenic lipids include docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA), and vitamin D3 have been reported to have detrimental effects on glioma cells. Furthermore, high lipid signals were detected at 0.9 and 1.3 ppm in high-grade glioma relative to low-grade glioma. This evidence shows that lipid metabolisms were significantly dysregulated in glioma. Concurrent with this knowledge, the discovery of specific lipid classes altered in glioma will accelerate the development of potential lipid biomarkers and enhance future glioma therapeutics.
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Affiliation(s)
- Khairunnisa Abdul Rashid
- Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia
| | - Kamariah Ibrahim
- Department of Biomedical Science, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia
| | - Jeannie Hsiu Ding Wong
- Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia
| | - Norlisah Mohd Ramli
- Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia
- Correspondence: ; Tel.: +60-379673238
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16
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Lin H, Wang Z, Luo Y, Lin Z, Hong G, Deng K, Huang P, Shen Y. Investigation of early biochemical alterations in myocardia of the diabetic db/db mice by FTIR microspectroscopy combined with machine learning. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 277:121263. [PMID: 35462162 DOI: 10.1016/j.saa.2022.121263] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 04/01/2022] [Accepted: 04/10/2022] [Indexed: 06/14/2023]
Abstract
Diabetic cardiomyopathy (DbCM) is a serious complication of diabetes that affects about 12% of the diabetic population. Sensitive detection of diabetes-induced biochemical changes in the heart before symptoms appear can assist clinicians in developing targeted treatment plans and forensic pathologists in making accurate postmortem diagnoses. The Fourier transform infrared (FTIR) spectroscopy-based approach allows for the analysis of the sample biomolecular composition and variations. In the current study, the myocardial tissues of mouse models of type 2 diabetes mellitus (T2DM) at various ages (7, 12, and 21 weeks) were analyzed using FTIR microspectroscopy (FTIRM) in combination with machine learning algorithms. The carbonyl esters, olefinic=CH and CH2 groups of lipids, total lipids, saccharides, and β-sheet to α-helix conformational transition in proteins increased significantly in diabetic mice myocardial tissues compared to healthy mice. Furthermore, partial least-squares discriminant analysis and random forest-guided partial least-squares discriminant analysis revealed the time-dependent progression of the spectral lipidomic profiles during the development of DbCM. Finally, a random forest classifier was developed for diagnosing DbCM, with 97.1% accuracy. This study demonstrates that FTIRM is a novel method for monitoring early biochemical changes in the myocardia of mice with T2DM.
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Affiliation(s)
- Hancheng Lin
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Zhimin Wang
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Yiwen Luo
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice, PRC, Shanghai 200063, China
| | - Zijie Lin
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Guanghui Hong
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Kaifei Deng
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice, PRC, Shanghai 200063, China
| | - Ping Huang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice, PRC, Shanghai 200063, China.
| | - Yiwen Shen
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
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17
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Peng W, Yin J, Ma J, Zhou X, Chang C. Identification of hepatocellular carcinoma and paracancerous tissue based on the peak area in FTIR microspectroscopy. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:3115-3124. [PMID: 35920728 DOI: 10.1039/d2ay00640e] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Hepatocellular carcinoma (HCC) is one of the most common primary hepatic malignancies across the world. The annual incidence and death rates have increased at the highest rate of all cancers in recent years. Surgical resection is a potentially curative option for solitary HCC or unilobar disease without evidence of metastases or vascular invasion. This study focuses on the molecular differences between the HCC foci and paracancerous tissues and provides some valuable biomarkers based on the vibrational spectrum. Fourier transform infrared (FTIR) spectroscopy is a non-invasive and qualitative and semi-quantitative analysis technique that has been widely applied for the identification of macromolecular changes in biological tissues. In this study, the FTIR spectra of the HCC foci and the paracancerous tissues were recorded separately, and ten areas under the absorption peaks of all the specimens were calculated. The result demonstrates that the areas of protein-related absorption peaks at 1398 cm-1, 1548 cm-1, 1654 cm-1 and 3070 cm-1 may be the key indicators of the two different regions. After coupling with the classification algorithms of k-nearest neighbor (KNN), random forest (RF) and support vector machine (SVM), it was found that SVM with an RBF kernel performed best with the AUC (area under the ROC curve) reaching 0.997, and the performance was better than the feature based on the full spectrum. This reveals that the peak area-based FTIR spectra combined with the SVM algorithm may be a promising tool in identifying the HCC foci and the paracancerous tissues.
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Affiliation(s)
- Wenyu Peng
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China.
| | - Junkai Yin
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China.
| | - Jing Ma
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China.
| | - Xiaojie Zhou
- National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Science, Shanghai 201210, China
| | - Chao Chang
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China.
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18
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Teske C, Kahlert C, Welsch T, Liedel K, Weitz J, Uckermann O, Steiner G. Label-free differentiation of human pancreatic cancer, pancreatitis, and normal pancreatic tissue by molecular spectroscopy. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:75001. [PMID: 36399853 PMCID: PMC9313287 DOI: 10.1117/1.jbo.27.7.075001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 06/22/2022] [Indexed: 05/19/2023]
Abstract
SIGNIFICANCE Pancreatic ductal adenocarcinoma (PDAC) is one of the leading causes of cancer deaths with a best median survival of only 40 to 50 months for localized disease despite multimodal treatment. The standard tissue differentiation method continues to be pathology with histological staining analysis. Microscopic discrimination between inflammatory pancreatitis and malignancies is demanding. AIM We aim to accurately distinguish native pancreatic tissue using infrared (IR) spectroscopy in a fast and label-free manner. APPROACH Twenty cryopreserved human pancreatic tissue samples were collected from surgical resections. In total, more than 980,000 IR spectra were collected and analyzed using aMATLAB package. For differentiation of PDAC, pancreatitis, and normal tissue, a three-class training set for supervised classification was created with 25,000 spectra and the principal component analysis (PCA) score values for each cohort. Cross-validation was performed using the leaveone- out method. Validation of the algorithm was accomplished with 13 independent test samples. RESULTS Reclassification of the training set and the independent test samples revealed an overall accuracy of more than 90% using a discrimination algorithm. CONCLUSION IR spectroscopy in combination with PCA and supervised classification is an efficient analytical method to reliably distinguish between benign and malignant pancreatic tissues. It opens up a wide research field for oncological and surgical applications.
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Affiliation(s)
- Christian Teske
- University Hospital Carl Gustav Carus, Technische Universität Dresden, Department of Visceral, Thoracic and Vascular Surgery, Dresden, Germany
- National Center for Tumor Diseases (NCT/UCC), Dresden, Germany
- Address all correspondence to Christian Teske,
| | - Christoph Kahlert
- University Hospital Carl Gustav Carus, Technische Universität Dresden, Department of Visceral, Thoracic and Vascular Surgery, Dresden, Germany
- National Center for Tumor Diseases (NCT/UCC), Dresden, Germany
| | - Thilo Welsch
- University Hospital Carl Gustav Carus, Technische Universität Dresden, Department of Visceral, Thoracic and Vascular Surgery, Dresden, Germany
- National Center for Tumor Diseases (NCT/UCC), Dresden, Germany
| | - Katja Liedel
- University Hospital Carl Gustav Carus, Technische Universität Dresden, Department of Visceral, Thoracic and Vascular Surgery, Dresden, Germany
- National Center for Tumor Diseases (NCT/UCC), Dresden, Germany
| | - Jürgen Weitz
- University Hospital Carl Gustav Carus, Technische Universität Dresden, Department of Visceral, Thoracic and Vascular Surgery, Dresden, Germany
- National Center for Tumor Diseases (NCT/UCC), Dresden, Germany
| | - Ortrud Uckermann
- University Hospital Carl Gustav Carus, Department of Neurosurgery, Dresden, Germany
| | - Gerald Steiner
- Technische Universität Dresden, Department of Anaesthesiology and Critical Care Medicine, Clinical Sensoring and Monitoring, Faculty of Medicine, Dresden, Germany
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Stevens AR, Stickland CA, Harris G, Ahmed Z, Goldberg Oppenheimer P, Belli A, Davies DJ. Raman Spectroscopy as a Neuromonitoring Tool in Traumatic Brain Injury: A Systematic Review and Clinical Perspectives. Cells 2022; 11:1227. [PMID: 35406790 PMCID: PMC8997459 DOI: 10.3390/cells11071227] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 12/22/2022] Open
Abstract
Traumatic brain injury (TBI) is a significant global health problem, for which no disease-modifying therapeutics are currently available to improve survival and outcomes. Current neuromonitoring modalities are unable to reflect the complex and changing pathophysiological processes of the acute changes that occur after TBI. Raman spectroscopy (RS) is a powerful, label-free, optical tool which can provide detailed biochemical data in vivo. A systematic review of the literature is presented of available evidence for the use of RS in TBI. Seven research studies met the inclusion/exclusion criteria with all studies being performed in pre-clinical models. None of the studies reported the in vivo application of RS, with spectral acquisition performed ex vivo and one performed in vitro. Four further studies were included that related to the use of RS in analogous brain injury models, and a further five utilised RS in ex vivo biofluid studies for diagnosis or monitoring of TBI. RS is identified as a potential means to identify injury severity and metabolic dysfunction which may hold translational value. In relation to the available evidence, the translational potentials and barriers are discussed. This systematic review supports the further translational development of RS in TBI to fully ascertain its potential for enhancing patient care.
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Affiliation(s)
- Andrew R. Stevens
- Neuroscience, Trauma and Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2TT, UK; (Z.A.); (A.B.); (D.J.D.)
- NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospitals Birmingham, Birmingham B15 2TH, UK
| | - Clarissa A. Stickland
- School of Chemical Engineering, University of Birmingham, Birmingham B15 2TT, UK; (C.A.S.); (G.H.); (P.G.O.)
| | - Georgia Harris
- School of Chemical Engineering, University of Birmingham, Birmingham B15 2TT, UK; (C.A.S.); (G.H.); (P.G.O.)
| | - Zubair Ahmed
- Neuroscience, Trauma and Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2TT, UK; (Z.A.); (A.B.); (D.J.D.)
- NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospitals Birmingham, Birmingham B15 2TH, UK
- Centre for Trauma Science Research, University of Birmingham, Birmingham B15 2TT, UK
| | - Pola Goldberg Oppenheimer
- School of Chemical Engineering, University of Birmingham, Birmingham B15 2TT, UK; (C.A.S.); (G.H.); (P.G.O.)
| | - Antonio Belli
- Neuroscience, Trauma and Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2TT, UK; (Z.A.); (A.B.); (D.J.D.)
- NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospitals Birmingham, Birmingham B15 2TH, UK
- Centre for Trauma Science Research, University of Birmingham, Birmingham B15 2TT, UK
| | - David J. Davies
- Neuroscience, Trauma and Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2TT, UK; (Z.A.); (A.B.); (D.J.D.)
- NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospitals Birmingham, Birmingham B15 2TH, UK
- Centre for Trauma Science Research, University of Birmingham, Birmingham B15 2TT, UK
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20
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Peng W, Chen S, Kong D, Zhou X, Lu X, Chang C. Grade classification of human glioma using a convolutional neural network based on mid-infrared spectroscopy mapping. JOURNAL OF BIOPHOTONICS 2022; 15:e202100313. [PMID: 34931464 DOI: 10.1002/jbio.202100313] [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: 10/09/2021] [Revised: 11/15/2021] [Accepted: 12/17/2021] [Indexed: 06/14/2023]
Abstract
This study proposes a convolutional neural network (CNN)-based computer-aided diagnosis (CAD) system for the grade classification of human glioma by using mid-infrared (MIR) spectroscopic mappings. Through data augmentation of pixels recombination, the mappings in the training set increased almost 161 times relative to the original mappings. The pixels of the recombined mappings in the training set came from all of the one-dimensional (1D) vibrational spectroscopy of 62 (almost 80% of all 77 patients) patients at specific bands. Compared with the performance of the CNN-CAD system based on the 1D vibrational spectroscopy, we found that the mean diagnostic accuracy of the recombined MIR spectroscopic mappings at peaks of 2917 cm-1 , 1539 cm-1 and 1234 cm-1 on the test set performed higher and the model also had more stable patterns. This research demonstrates that two-dimensional MIR mapping at a single frequency can be used by the CNN-CAD system for diagnosis and the research also gives a prompt that the mapping collection process can be replaced by a single-frequency IR imaging system, which is cheaper and more portable than a Fourier transform infrared microscopy and thus may be widely utilized in hospitals to provide meaningful assistance for pathologists in clinics.
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Affiliation(s)
- Wenyu Peng
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science, Xi'an Jiaotong University, Xi'an, China
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing, China
| | - Shuo Chen
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing, China
| | - Dongsheng Kong
- Department of Neurosurgery, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Xiaojie Zhou
- National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Science, Shanghai, China
| | - Xiaoyun Lu
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science, Xi'an Jiaotong University, Xi'an, China
| | - Chao Chang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science, Xi'an Jiaotong University, Xi'an, China
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing, China
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21
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Iturrioz-Rodríguez N, De Pasquale D, Fiaschi P, Ciofani G. Discrimination of glioma patient-derived cells from healthy astrocytes by exploiting Raman spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 269:120773. [PMID: 34952436 DOI: 10.1016/j.saa.2021.120773] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 11/29/2021] [Accepted: 12/13/2021] [Indexed: 06/14/2023]
Abstract
Glioblastoma multiforme (GBM) is one of the most common and aggressive brain tumors. It presents a very bad prognosis with a patients' overall survival of 12-15 months; treatment failure is mainly ascribable to tumor recurrence. The development of new tools, that could help the precise detection of the tumor border, is thus an urgent need. During the last decades, different vibrational spectroscopy techniques have been developed to distinguish cancer tissue from heathy tissue; in the present work, we compared GBM cells deriving from four patients with healthy human astrocytes using Raman spectroscopy. We have shown that the region between 1000 and 1300 cm-1 is enough informative for this discrimination, indeed highlighting that peaks related to DNA/RNA and cytochrome c are increased in cancer cells. Finally, our model has been able to discriminate cancer cells from healthy cells with an average accuracy of 92.5%. We believe that this study might help to further understand which are the essential Raman peaks exploitable in the detection of cancer cells, with important perspectives under a diagnostic point of view.
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Affiliation(s)
- Nerea Iturrioz-Rodríguez
- Istituto Italiano di Tecnologia, Smart Bio-Interfaces, Viale Rinaldo Piaggio 34, 56025 Pontedera, Italy.
| | - Daniele De Pasquale
- Istituto Italiano di Tecnologia, Smart Bio-Interfaces, Viale Rinaldo Piaggio 34, 56025 Pontedera, Italy
| | - Pietro Fiaschi
- San Martino Policlinico Hospital, Department of Neurosurgery, IRCCS for Oncology and Neurosciences, Largo Rosanna Benzi 10, 16132 Genova, Italy; University of Genoa, Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), Largo Paolo Daneo 3, 16132 Genova, Italy
| | - Gianni Ciofani
- Istituto Italiano di Tecnologia, Smart Bio-Interfaces, Viale Rinaldo Piaggio 34, 56025 Pontedera, Italy.
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22
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Lilo T, Morais CL, Shenton C, Ray A, Gurusinghe N. Revising Fourier-transform infrared (FT-IR) and Raman spectroscopy towards brain cancer detection. Photodiagnosis Photodyn Ther 2022; 38:102785. [DOI: 10.1016/j.pdpdt.2022.102785] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 02/15/2022] [Accepted: 02/25/2022] [Indexed: 12/11/2022]
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Altered Elemental Distribution in Male Rat Brain Tissue as a Predictor of Glioblastoma Multiforme Growth-Studies Using SR-XRF Microscopy. Int J Mol Sci 2022; 23:ijms23020703. [PMID: 35054889 PMCID: PMC8775692 DOI: 10.3390/ijms23020703] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/31/2021] [Accepted: 01/05/2022] [Indexed: 12/04/2022] Open
Abstract
Glioblastoma multiforme (GBM) is a particularly malignant primary brain tumor. Despite enormous advances in the surgical treatment of cancer, radio- and chemotherapy, the average survival of patients suffering from this cancer does not usually exceed several months. For obvious ethical reasons, the search and testing of the new drugs and therapies of GBM cannot be carried out on humans, and for this purpose, animal models of the disease are most often used. However, to assess the efficacy and safety of the therapy basing on these models, a deep knowledge of the pathological changes associated with tumor development in the animal brain is necessary. Therefore, as part of our study, the synchrotron radiation-based X-ray fluorescence microscopy was applied for multi-elemental micro-imaging of the rat brain in which glioblastoma develops. Elemental changes occurring in animals after the implantation of two human glioma cell lines as well as the cells taken directly from a patient suffering from GBM were compared. Both the extent and intensity of elemental changes strongly correlated with the regions of glioma growth. The obtained results showed that the observation of elemental anomalies accompanying tumor development within an animal's brain might facilitate our understanding of the pathogenesis and progress of GBM and also determine potential biomarkers of its extension. The tumors appearing in a rat's brain were characterized by an increased accumulation of Fe and Se, whilst the tissue directly surrounding the tumor presented a higher accumulation of Cu. Furthermore, the results of the study allow us to consider Se as a potential elemental marker of GBM progression.
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Clementino-Neto J, da Silva JKS, de Melo Bastos Cavalcante C, da Silva-Júnior PF, David CC, de Araújo MV, Mendes CB, de Queiroz AC, da Silva ECO, de Souza ST, da Silva Fonseca EJ, da Silva TMS, de Amorim Camara C, Moura-Neto V, de Araújo-Júnior JX, da Silva-Júnior EF, da-Silva AX, Alexandre-Moreira MS. In vitro antitumor activity of dialkylamine-1,4-naphthoquinones toward human glioblastoma multiforme cells. NEW J CHEM 2022. [DOI: 10.1039/d1nj05915g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
In this study, we evaluated the in vitro antitumor activity of dialkylamino-1,4-naphthoquinones (1a–n) toward human glioblastoma multiforme cells (GBM02).
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Affiliation(s)
- José Clementino-Neto
- Laboratory of Pharmacology and Immunity, Institute of Biological Sciences and Health, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
- Laboratory of Electrophysiology and Brain Metabolism, Institute of Biological Sciences and Health, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
| | - João Kaycke Sarmento da Silva
- Laboratory of Pharmacology and Immunity, Institute of Biological Sciences and Health, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
| | - Cibelle de Melo Bastos Cavalcante
- Laboratory of Pharmacology and Immunity, Institute of Biological Sciences and Health, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
- Laboratory of Electrophysiology and Brain Metabolism, Institute of Biological Sciences and Health, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
| | - Paulo Fernando da Silva-Júnior
- Chemistry and Biotechnology Institute, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
| | - Cibelle Cabral David
- Laboratory of Bioactive Compounds Synthesis, Molecular Sciences Department, Federal Rural University of Pernambuco, Campus Dois Irmãos, Dom Manuel de Medeiros Street, Recife 57171-900, PE, Brazil
| | - Morgana Vital de Araújo
- Laboratory of Pharmacology and Immunity, Institute of Biological Sciences and Health, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
| | - Carmelita Bastos Mendes
- Laboratory of Electrophysiology and Brain Metabolism, Institute of Biological Sciences and Health, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
| | - Aline Cavalcanti de Queiroz
- Laboratory of Pharmacology and Immunity, Institute of Biological Sciences and Health, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
- Laboratory of Microbiology, Immunology and Parasitology, Complex Of Medical Sciences And Nursing, Federal University of Alagoas, Campus Arapiraca, Manoel Severino Barbosa Avenue, Arapiraca 57309-005, AL, Brazil
| | - Elaine Cristina Oliveira da Silva
- Laboratory of Characterization and Microscopy of Materials, Institute of Physics, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió, 57072, AL, Brazil
| | - Samuel Teixeira de Souza
- Laboratory of Characterization and Microscopy of Materials, Institute of Physics, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió, 57072, AL, Brazil
| | - Eduardo Jorge da Silva Fonseca
- Laboratory of Characterization and Microscopy of Materials, Institute of Physics, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió, 57072, AL, Brazil
| | - Tânia Maria Sarmento da Silva
- Laboratory of Bioactive Compounds Synthesis, Molecular Sciences Department, Federal Rural University of Pernambuco, Campus Dois Irmãos, Dom Manuel de Medeiros Street, Recife 57171-900, PE, Brazil
| | - Celso de Amorim Camara
- Laboratory of Bioactive Compounds Synthesis, Molecular Sciences Department, Federal Rural University of Pernambuco, Campus Dois Irmãos, Dom Manuel de Medeiros Street, Recife 57171-900, PE, Brazil
| | - Vivaldo Moura-Neto
- State Institute of Brain Paulo Niemeyer, Rezende Street, Rio de Janeiro 20231-092, RJ, Brazil
| | - João Xavier de Araújo-Júnior
- Chemistry and Biotechnology Institute, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
- Laboratory of Medicinal Chemistry, Pharmaceutical Sciences Institute, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
| | - Edeildo Ferreira da Silva-Júnior
- Chemistry and Biotechnology Institute, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
| | - Adriana Ximenes da-Silva
- Laboratory of Electrophysiology and Brain Metabolism, Institute of Biological Sciences and Health, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
| | - Magna Suzana Alexandre-Moreira
- Laboratory of Pharmacology and Immunity, Institute of Biological Sciences and Health, Federal University of Alagoas, Campus A.C. Simões, Lourival Melo Mota Avenue, Maceió 57072-970, AL, Brazil
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25
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Rominiyi O, Collis SJ. DDRugging glioblastoma: understanding and targeting the DNA damage response to improve future therapies. Mol Oncol 2022; 16:11-41. [PMID: 34036721 PMCID: PMC8732357 DOI: 10.1002/1878-0261.13020] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 05/11/2021] [Accepted: 05/24/2021] [Indexed: 12/13/2022] Open
Abstract
Glioblastoma is the most frequently diagnosed type of primary brain tumour in adults. These aggressive tumours are characterised by inherent treatment resistance and disease progression, contributing to ~ 190 000 brain tumour-related deaths globally each year. Current therapeutic interventions consist of surgical resection followed by radiotherapy and temozolomide chemotherapy, but average survival is typically around 1 year, with < 10% of patients surviving more than 5 years. Recently, a fourth treatment modality of intermediate-frequency low-intensity electric fields [called tumour-treating fields (TTFields)] was clinically approved for glioblastoma in some countries after it was found to increase median overall survival rates by ~ 5 months in a phase III randomised clinical trial. However, beyond these treatments, attempts to establish more effective therapies have yielded little improvement in survival for patients over the last 50 years. This is in contrast to many other types of cancer and highlights glioblastoma as a recognised tumour of unmet clinical need. Previous work has revealed that glioblastomas contain stem cell-like subpopulations that exhibit heightened expression of DNA damage response (DDR) factors, contributing to therapy resistance and disease relapse. Given that radiotherapy, chemotherapy and TTFields-based therapies all impact DDR mechanisms, this Review will focus on our current knowledge of the role of the DDR in glioblastoma biology and treatment. We also discuss the potential of effective multimodal targeting of the DDR combined with standard-of-care therapies, as well as emerging therapeutic targets, in providing much-needed improvements in survival rates for patients.
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Affiliation(s)
- Ola Rominiyi
- Weston Park Cancer CentreSheffieldUK
- Department of Oncology & MetabolismThe University of Sheffield Medical SchoolUK
- Department of NeurosurgeryRoyal Hallamshire HospitalSheffield Teaching Hospitals NHS Foundation TrustUK
| | - Spencer J. Collis
- Weston Park Cancer CentreSheffieldUK
- Department of Oncology & MetabolismThe University of Sheffield Medical SchoolUK
- Sheffield Institute for Nucleic Acids (SInFoNiA)University of SheffieldUK
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26
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Dučić T, Ninkovic M, Martínez-Rovira I, Sperling S, Rohde V, Dimitrijević D, Jover Mañas GV, Vaccari L, Birarda G, Yousef I. Live-Cell Synchrotron-Based FTIR Evaluation of Metabolic Compounds in Brain Glioblastoma Cell Lines after Riluzole Treatment. Anal Chem 2021; 94:1932-1940. [PMID: 34965097 DOI: 10.1021/acs.analchem.1c02076] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Glioblastoma multiforme (GBM) is the most aggressive brain tumor, characterized by short median survival and an almost 100% tumor-related mortality. The standard of care treatment for newly diagnosed GBM includes surgical resection followed by concomitant radiochemotherapy. The prevention of disease progression fails due to the poor therapeutic effect caused by the great molecular heterogeneity of this tumor. Previously, we exploited synchrotron radiation-based soft X-ray tomography and hard X-ray fluorescence for elemental microimaging of the shock-frozen GBM cells. The present study focuses instead on the biochemical profiling of live GBM cells and provides new insight into tumor heterogenicity. We studied bio-macromolecular changes by exploring the live-cell synchrotron-based Fourier transform infrared (SR-FTIR) microspectroscopy in a set of three GBM cell lines, including the patient-derived glioblastoma cell line, before and after riluzole treatment, a medicament with potential anticancer properties. SR-FTIR microspectroscopy shows that GBM live cells of different origins recruit different organic compounds. The riluzole treatment of all GBM cell lines mainly affected carbohydrate metabolism and the DNA structure. Lipid structures and protein secondary conformation are affected as well by the riluzole treatment: cellular proteins assumed cross β-sheet conformation while parallel β-sheet conformation was less represented for all GBM cells. Moreover, we hope that a new live-cell approach for GBM simultaneous treatment and examination can be devised to target cancer cells more specifically, i.e., future therapies can develop more specific treatments according to the specific bio-macromolecular signature of each tumor type.
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Affiliation(s)
- Tanja Dučić
- ALBA Synchrotron Light Source, Carrer de la Llum 2-26, 08290 Cerdanyola del Vallès, Barcelona, Spain
| | - Milena Ninkovic
- The Translational Neurooncology Research Group, Department of Neurosurgery, University Medical Center Göttingen, Robert-Koch-Strasse 40, 37075 Göttingen, Germany
| | - Immaculada Martínez-Rovira
- ALBA Synchrotron Light Source, Carrer de la Llum 2-26, 08290 Cerdanyola del Vallès, Barcelona, Spain.,Ionizing Radiation Research Group, Physics Department, Universitat Autònoma de Barcelona (UAB), 08193 Cerdanyola del Vallès, Barcelona, Spain
| | - Swetlana Sperling
- The Translational Neurooncology Research Group, Department of Neurosurgery, University Medical Center Göttingen, Robert-Koch-Strasse 40, 37075 Göttingen, Germany
| | - Veit Rohde
- The Translational Neurooncology Research Group, Department of Neurosurgery, University Medical Center Göttingen, Robert-Koch-Strasse 40, 37075 Göttingen, Germany
| | - Dragoljub Dimitrijević
- Institute for Multidisciplinary Research, University of Belgrade, Despota Stefana 142, 11000 Belgrade, Serbia
| | | | - Lisa Vaccari
- Elettra-Sincrotrone Trieste S.C.p.A., S.S. 14 km 163, 5 in Area Science Park, 34149 Basovizza, Trieste, Italy
| | - Giovanni Birarda
- Elettra-Sincrotrone Trieste S.C.p.A., S.S. 14 km 163, 5 in Area Science Park, 34149 Basovizza, Trieste, Italy
| | - Ibraheem Yousef
- ALBA Synchrotron Light Source, Carrer de la Llum 2-26, 08290 Cerdanyola del Vallès, Barcelona, Spain
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27
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Le Reste P, Pilalis E, Aubry M, McMahon M, Cano L, Etcheverry A, Chatziioannou A, Chevet E, Fautrel A. Integration of Raman spectra with transcriptome data in glioblastoma multiforme defines tumour subtypes and predicts patient outcome. J Cell Mol Med 2021; 25:10846-10856. [PMID: 34773369 PMCID: PMC8642677 DOI: 10.1111/jcmm.16902] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/13/2021] [Accepted: 08/20/2021] [Indexed: 12/24/2022] Open
Abstract
Raman spectroscopy is an imaging technique that has been applied to assess molecular compositions of living cells to characterize cell types and states. However, owing to the diverse molecular species in cells and challenges of assigning peaks to specific molecules, it has not been clear how to interpret cellular Raman spectra. Here, we provide firm evidence that cellular Raman spectra (RS) and transcriptomic profiles of glioblastoma can be computationally connected and thus interpreted. We find that the dimensions of high-dimensional RS and transcriptomes can be reduced and connected linearly through a shared low-dimensional subspace. Accordingly, we were able to predict global gene expression profiles by applying the calculated transformation matrix to Raman spectra and vice versa. From these analyses, we extract a minimal gene expression signature associated with specific RS profiles and predictive of disease outcome.
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Affiliation(s)
- Pierre‐Jean Le Reste
- Department of NeurosurgeryUniversity HospitalRennesFrance
- INSERM U1242University of RennesRennesFrance
- REACT – Rennes Brain Cancer TeamRennesFrance
| | | | - Marc Aubry
- REACT – Rennes Brain Cancer TeamRennesFrance
- IGDR CNRSUniversity of RennesRennesFrance
| | - Mari McMahon
- INSERM U1242University of RennesRennesFrance
- REACT – Rennes Brain Cancer TeamRennesFrance
- Centre de Lutte Contre le Cancer Eugene MarquisRennesFrance
| | - Luis Cano
- H2P2 PlatformUMS CNRS 3480 – INSERM 018University of RennesRennesFrance
| | - Amandine Etcheverry
- REACT – Rennes Brain Cancer TeamRennesFrance
- IGDR CNRSUniversity of RennesRennesFrance
| | | | - Eric Chevet
- INSERM U1242University of RennesRennesFrance
- REACT – Rennes Brain Cancer TeamRennesFrance
- Centre de Lutte Contre le Cancer Eugene MarquisRennesFrance
| | - Alain Fautrel
- H2P2 PlatformUMS CNRS 3480 – INSERM 018University of RennesRennesFrance
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Peng W, Chen S, Kong D, Zhou X, Lu X, Chang C. Grade diagnosis of human glioma using Fourier transform infrared microscopy and artificial neural network. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 260:119946. [PMID: 34049006 DOI: 10.1016/j.saa.2021.119946] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 04/22/2021] [Accepted: 05/06/2021] [Indexed: 06/12/2023]
Abstract
The World Health Organization (WHO) grade diagnosis of cancer is essential for surgical outcomes and patient treatment. Traditional pathological grading diagnosis depends on dyes or other histological approaches, and the result interpretation highly relies on the pathologists, making the process time-consuming (>60 min, including the steps of dewaxing to water and H&E staining), resource-wasting, and labor-intensive. In the present study, we report an alternative workflow that combines the Fourier transform infrared (FTIR) microscopy and artificial neural network (ANN) to diagnose the grade of human glioma in a way that is faster (~20 min, including the processes of sample dewaxing, spectra acquisition and analysis), accurate (the prediction accuracy, specificity and sensitivity can reach above 99%), and without reagent. Moreover, this method is much superior to the common classification method of principal component analysis-linear discriminate analysis (PCA-LDA) (the prediction accuracy, specificity and sensitivity are only 87%, 89% and 86%, respectively). The ANN mainly learned the characteristic region of 800-1800 cm-1 to classify the major histopathologic classes of human glioma. These results demonstrate that the grade diagnosis of human glioma by FTIR microscopy plus ANN can be streamlined, and could serve as a complementary pathway that is independent of the traditional pathology laboratory.
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Affiliation(s)
- Wenyu Peng
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science, Xi'an Jiaotong University, Xi'an 710049, China; Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China
| | - Shuo Chen
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China
| | - Dongsheng Kong
- Department of Neurosurgery, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Xiaojie Zhou
- National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Science, Shanghai 201210, China
| | - Xiaoyun Lu
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science, Xi'an Jiaotong University, Xi'an 710049, China.
| | - Chao Chang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science, Xi'an Jiaotong University, Xi'an 710049, China; Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China.
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29
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Salim YS, Rashid NA, Halim SIA, Chan CH, Ong CH, Harun MK. Fourier transform infrared (
FTIR)
authentication and batch‐to‐batch consistency for different types of paints using benchtop and handheld
FTIR
spectrophotometers for oil and gas industry. POLYM ENG SCI 2021. [DOI: 10.1002/pen.25746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Yoga Sugama Salim
- Faculty of Applied Sciences Universiti Teknologi MARA Shah Alam Selangor Malaysia
| | | | | | - Chin Han Chan
- Faculty of Applied Sciences Universiti Teknologi MARA Shah Alam Selangor Malaysia
| | - Chong Hup Ong
- Norimax Sdn Bhd Taman Perindustrian Puchong Puchong Selangor Malaysia
| | - Mohamad Kamal Harun
- Faculty of Applied Sciences Universiti Teknologi MARA Shah Alam Selangor Malaysia
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30
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Lasalvia M, Capozzi V, Perna G. Discrimination of Different Breast Cell Lines on Glass Substrate by Means of Fourier Transform Infrared Spectroscopy. SENSORS 2021; 21:s21216992. [PMID: 34770297 PMCID: PMC8588089 DOI: 10.3390/s21216992] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/14/2021] [Accepted: 10/19/2021] [Indexed: 11/16/2022]
Abstract
Fourier transform infrared (FTIR) micro-spectroscopy has been attracting the interest of many cytologists and histopathologists for several years. This is related to the possibility of FTIR translation in the clinical diagnostic field. In fact, FTIR spectra are able to detect changes in biochemical cellular components occurring when the cells pass to a pathological state. Recently, this interest has increased because it has been shown that FTIR spectra carried out just in the high wavenumber spectral range (2500-4000 cm-1), where information mainly relating to lipids and proteins can be obtained, are able to discriminate cell lines related to different tissues. This possibility allows to perform IR absorption measurements of cellular samples deposited onto microscopy glass slides (widely used in the medical environment) which are transparent to IR radiation only for wavenumber values larger than 2000 cm-1. For these reasons, we show that FTIR spectra in the 2800-3000 cm-1 spectral range can discriminate three different cell lines from breast tissue: a non-malignant cell line (MCF10A), a non-metastatic adenocarcinoma cell line (MCF7) and a metastatic adenocarcinoma cell line (MDA). All the cells were grown onto glass slides. The spectra were discriminated by means of a principal component analysis, according to the PC1 component, whose values have the opposite sign in the pairwise score plots. This result supports the wide studies that are being carried out to promote the translation of the FTIR technique in medical practice, as a complementary diagnostic tool.
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31
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Zhao Z, Xiao D, Nie C, Zhang H, Jiang X, Jecha AR, Yan P, Zhao H. Development of a Nomogram Based on Preoperative Bi-Parametric MRI and Blood Indices for the Differentiation Between Cystic-Solid Pituitary Adenoma and Craniopharyngioma. Front Oncol 2021; 11:709321. [PMID: 34307178 PMCID: PMC8300562 DOI: 10.3389/fonc.2021.709321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 06/18/2021] [Indexed: 11/21/2022] Open
Abstract
Background Given the similarities in clinical manifestations of cystic-solid pituitary adenomas (CS-PAs) and craniopharyngiomas (CPs), this study aims to establish and validate a nomogram based on preoperative imaging features and blood indices to differentiate between CS-PAs and CPs. Methods A departmental database was searched to identify patients who had undergone tumor resection between January 2012 and December 2020, and those diagnosed with CS-PAs or CPs by histopathology were included. Preoperative magnetic resonance imaging (MRI) features as well as blood indices were retrieved and analyzed. Radiological features were extracted from the tumor on contrast-enhanced T1 (CE-T1) weighted and T2 weighted sequences. The two independent samples t-test and principal component analysis (PCA) were used for feature selection, data dimension reduction, and radiomics signature building. Next, the radiomics signature was put in five classification models for exploring the best classifier with superior identification performance. Multivariate logistic regression analysis was then used to establish a radiomic-clinical model containing radiomics and hematological features, and the model was presented as a nomogram. The performance of the radiomics-clinical model was assessed by calibration curve, clinical effectiveness as well as internal validation. Results A total of 272 patients were included in this study: 201 with CS-PAs and 71 with CPs. These patients were randomized into training set (n=182) and test set (n=90). The radiomics signature, which consisted of 18 features after dimensionality reduction, showed superior discrimination performance in 5 different classification models. The area under the curve (AUC) values of the training set and the test set obtained by the radiomics signature are 0.92 and 0.88 in the logistic regression model, 0.90 and 0.85 in the Ridge classifier, 0.88 and 0.82 in the stochastic gradient descent (SGD) classifier, 0.78 and 0.85 in the linear support vector classification (Linear SVC), 0.93 and 0.86 in the multilayers perceptron (MLP) classifier, respectively. The predictive factors of the nomogram included radiomic signature, age, WBC count, and FIB. The nomogram showed good discrimination performance (with an AUC of 0.93 in the training set and 0.90 in the test set) and good calibration. Moreover, decision curve analysis (DCA) demonstrated satisfactory clinical effectiveness of the proposed radiomic-clinical nomogram. Conclusions A personalized nomogram containing radiomics signature and blood indices was proposed in this study. This nomogram is simple yet effective in differentiating between CS-PAs and CPs and thus can be used in routine clinical practice.
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Affiliation(s)
- Zhen Zhao
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dongdong Xiao
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chuansheng Nie
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Zhang
- Department of Geriatric Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaobing Jiang
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ali Rajab Jecha
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Pengfei Yan
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongyang Zhao
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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32
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Dandıl E, Karaca S. Detection of pseudo brain tumors via stacked LSTM neural networks using MR spectroscopy signals. Biocybern Biomed Eng 2021. [DOI: 10.1016/j.bbe.2020.12.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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33
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Depciuch J, Stanek-Widera A, Khinevich N, Bandarenka HV, Kandler M, Bayev V, Fedotova J, Lange D, Stanek-Tarkowska J, Cebulski J. The Spectroscopic Similarity between Breast Cancer Tissues and Lymph Nodes Obtained from Patients with and without Recurrence: A Preliminary Study. Molecules 2020; 25:molecules25143295. [PMID: 32708082 PMCID: PMC7397234 DOI: 10.3390/molecules25143295] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 07/15/2020] [Accepted: 07/16/2020] [Indexed: 01/06/2023] Open
Abstract
Lymph nodes (LNs) play a very important role in the spread of cancer cells. Moreover, it was noticed that the morphology and chemical composition of the LNs change in the course of cancer development. Therefore, finding and monitoring similarities between these characteristics of the LNs and tumor tissues are essential to improve diagnostics and therapy of this dreadful disease. In the present study, we used Raman and Fourier transform infrared (FTIR) spectroscopies to compare the chemical composition of the breast cancer tissues and LNs collected from women without (I group-4 patients) and with (II group-4 patients) recurrence. It was shown that the similarity of the chemical composition of the breast tissues and LNs is typical for the II group of the patients. The average Raman spectrum of the breast cancer tissues from the I group was not characterized by vibrations in the 800-1000 cm-1 region originating from collagen and carbohydrates, which are typical for tumor-affected breast tissues. At the same time, this spectrum contains peaks at 1029 cm-1, corresponding to PO2- from DNA, RNA and phospholipids, and 1520 cm-1, which have been observed in normal breast tissues before. It was shown that Raman bands of the average LN spectrum of the II group associated with proteins and carbohydrates are more intensive than those of the breast tissues spectrum. The intensity of the Raman spectra collected from the samples of the II group is almost three times higher compared to the I group. The vibrations of carbohydrates and amide III are much more intensive in the II group's case. The Raman spectra of the breast cancer tissues and LNs of the II group's samples do not contain bands (e.g., 1520 cm-1) found in the Raman spectra of the normal breast tissues elsewhere. FTIR spectra of the LNs of the I group's women showed a lower level of vibrations corresponding to functional group building nucleic acid, collagen, carbohydrates, and proteins in comparison with the breast cancer tissues. Pearson's correlation test showed positive and more significant interplay between the nature of the breast tissues and LN spectra obtained for the II group of patients than that in the I group's spectra. Moreover, principal component analysis (PCA) showed that it is possible to distinguish Raman and FTIR spectra of the breast cancer tissues and LNs collected from women without recurrence of the disease.
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Affiliation(s)
- Joanna Depciuch
- Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 Krakow, Poland
- Correspondence: (J.D.); (J.F.)
| | - Agata Stanek-Widera
- Faculty of Medicine, University of Technology, Rolna 43, 40-555 Katowice, Poland; (A.S.-W.); (D.L.)
| | - Nadia Khinevich
- Laboratory of Applied Plasmonics, Belarusian State University of Informatics and Radioelectronics, 220013 Minsk, Belarus; (N.K.); (H.V.B.)
| | - Hanna V. Bandarenka
- Laboratory of Applied Plasmonics, Belarusian State University of Informatics and Radioelectronics, 220013 Minsk, Belarus; (N.K.); (H.V.B.)
- Polytechnic School, Arizona State University, Mesa, AZ 85212, USA
| | - Michal Kandler
- Institute of Physics, University of Rzeszow, College of Natural Sciences, PL-35959 Rzeszow, Poland; (M.K.); (J.C.)
| | - Vadim Bayev
- Research Institute for Nuclear Problems of Belarusian State University, 220030 Minsk, Belarus;
| | - Julia Fedotova
- Research Institute for Nuclear Problems of Belarusian State University, 220030 Minsk, Belarus;
- Correspondence: (J.D.); (J.F.)
| | - Dariusz Lange
- Faculty of Medicine, University of Technology, Rolna 43, 40-555 Katowice, Poland; (A.S.-W.); (D.L.)
| | - Jadwiga Stanek-Tarkowska
- Institute of Agricultural Sciences, Land Management and Environmental Protection, University of Rzeszow, PL-35959 Rzeszow, Poland;
| | - Jozef Cebulski
- Institute of Physics, University of Rzeszow, College of Natural Sciences, PL-35959 Rzeszow, Poland; (M.K.); (J.C.)
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Simultaneous FTIR and Raman Spectroscopy in Endometrial Atypical Hyperplasia and Cancer. Int J Mol Sci 2020; 21:ijms21144828. [PMID: 32650484 PMCID: PMC7402178 DOI: 10.3390/ijms21144828] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 06/26/2020] [Accepted: 07/06/2020] [Indexed: 01/26/2023] Open
Abstract
Currently, endometrial carcinoma (EC) is the most common genital cancer in high-income countries. Some types of endometrial hyperplasia (EH) may be progressing to this malignancy. The diagnosis of EC and EH is based on time consuming histopathology evaluation, which is subjective and causes discrepancies in reassessment. Therefore, there is a need to create methods of objective evaluation allowing the diagnosis of early changes. The study aimed to simultaneously asses Fourier Transform Infrared (FTIR) and Raman spectroscopy combined with multidimensional analysis to identify the tissues of endometrial cancer, atypical hyperplasia and the normal control group, and differentiate them. The results of FTIR and Raman spectroscopy revealed quantitative and qualitative changes in the nucleic acid and protein in the groups of cancer and atypical hyperplasia, in comparison with the control group. Changes in the lipid region were also observed in Raman spectra. Pearson correlation coefficient demonstrated a statistically significant correlation between Raman spectra for the cancer and atypical hyperplasia groups (0.747, p < 0.05) and for atypical hyperplasia and the controls (0.507, p < 0.05), while FTIR spectra demonstrated a statistically significant positive correlation for the same group as in Raman data and for the control and cancer groups (0.966, p < 0.05). To summarize, the method of spectroscopy enables differentiation of atypical hyperplasia and endometrial cancer tissues from the physiological endometrial tissue.
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Ralbovsky NM, Lednev IK. Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learning. Chem Soc Rev 2020; 49:7428-7453. [DOI: 10.1039/d0cs01019g] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
This review summarizes recent progress made using Raman spectroscopy and machine learning for potential universal medical diagnostic applications.
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Affiliation(s)
| | - Igor K. Lednev
- Department of Chemistry
- University at Albany
- SUNY
- Albany
- USA
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