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Schuler I, Schuler M, Frick T, Jimenez D, Maghnouj A, Hahn S, Zewail R, Gerwert K, El-Mashtoly SF. Efficacy of tyrosine kinase inhibitors examined by a combination of Raman micro-spectroscopy and a deep wavelet scattering-based multivariate analysis framework. Analyst 2024; 149:2004-2015. [PMID: 38426854 DOI: 10.1039/d3an02235h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
HER2 is a crucial therapeutic target in breast cancer, and the survival rate of breast cancer patients has increased because of this receptor's inhibition. However, tumors have shown resistance to this therapeutic strategy due to oncogenic mutations that decrease the binding of several HER2-targeted drugs, including lapatinib, and confer resistance to this drug. Neratinib can overcome this drug resistance and effectively inhibit HER2 signaling and tumor growth. In the present study, we examined the efficacy of lapatinib and neratinib using breast cancer cells by Raman microscopy combined with a deep wavelet scattering-based multivariate analysis framework. This approach discriminated between control cells and drug-treated cells with high accuracy, compared to classical principal component analysis. Both lapatinib and neratinib induced changes in the cellular biochemical composition. Furthermore, the Raman results were compared with the results of several in vitro assays. For instance, drug-treated cells exhibited (i) inhibition of ERK and AKT phosphorylation, (ii) inhibition of cellular proliferation, (iii) cell-cycle arrest, and (iv) apoptosis as indicated by western blotting, real-time cell analysis (RTCA), cell-cycle analysis, and apoptosis assays. Thus, the observed Raman spectral changes are attributed to cell-cycle arrest and apoptosis. The results also indicated that neratinib is more potent than lapatinib. Moreover, the uptake and distribution of lapatinib in cells were visualized through its label-free marker bands in the fingerprint region using Raman spectral imaging. These results show the prospects of Raman microscopy in drug evaluation and presumably in drug discovery.
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Affiliation(s)
- Irina Schuler
- Center for Protein Diagnostics, Ruhr-University Bochum, Bochum, Germany.
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Martin Schuler
- Center for Protein Diagnostics, Ruhr-University Bochum, Bochum, Germany.
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Tatjana Frick
- Center for Protein Diagnostics, Ruhr-University Bochum, Bochum, Germany.
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Dairovys Jimenez
- Center for Protein Diagnostics, Ruhr-University Bochum, Bochum, Germany.
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Abdelouahid Maghnouj
- Department of Molecular GI-Oncology, Clinical Research Center, Ruhr-University Bochum, Bochum, Germany
| | - Stephan Hahn
- Department of Molecular GI-Oncology, Clinical Research Center, Ruhr-University Bochum, Bochum, Germany
| | - Rami Zewail
- Department of Computer Science & Engineering, Egypt-Japan University of Science and Technology, New Borg El-Arab, Egypt
| | - Klaus Gerwert
- Center for Protein Diagnostics, Ruhr-University Bochum, Bochum, Germany.
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Samir F El-Mashtoly
- Center for Protein Diagnostics, Ruhr-University Bochum, Bochum, Germany.
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
- Biotechnology Program, Institute of Basic and Applied Science, Egypt-Japan University of Science and Technology, New Borg El-Arab, Egypt
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2
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Chen X, Wu Z, He Y, Hao Z, Wang Q, Zhou K, Zhou W, Wang P, Shan F, Li Z, Ji J, Fan Y, Li Z, Yue S. Accurate and Rapid Detection of Peritoneal Metastasis from Gastric Cancer by AI-Assisted Stimulated Raman Molecular Cytology. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023:e2300961. [PMID: 37114845 PMCID: PMC10375130 DOI: 10.1002/advs.202300961] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 04/04/2023] [Indexed: 06/19/2023]
Abstract
Peritoneal metastasis (PM) is the mostcommon form of distant metastasis and one of the leading causes of death in gastriccancer (GC). For locally advanced GC, clinical guidelines recommend peritoneal lavage cytology for intraoperative PM detection. Unfortunately, current peritoneal lavage cytology is limited by low sensitivity (<60%). Here the authors established the stimulated Raman molecular cytology (SRMC), a chemical microscopy-based intelligent cytology. The authors firstly imaged 53 951 exfoliated cells in ascites obtained from 80 GC patients (27 PM positive, 53 PM negative). Then, the authors revealed 12 single cell features of morphology and composition that are significantly different between PM positive and negative specimens, including cellular area, lipid protein ratio, etc. Importantly, the authors developed a single cell phenotyping algorithm to further transform the above raw features to feature matrix. Such matrix is crucial to identify the significant marker cell cluster, the divergence of which is finally used to differentiate the PM positive and negative. Compared with histopathology, the gold standard of PM detection, their SRMC method could reach 81.5% sensitivity, 84.9% specificity, and the AUC of 0.85, within 20 minutes for each patient. Together, their SRMC method shows great potential for accurate and rapid detection of PM from GC.
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Affiliation(s)
- Xun Chen
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 100191, Beijing, China
- School of Engineering Medicine, Beihang University, 100191, Beijing, China
| | - Zhouqiao Wu
- Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, 100142, Beijing, China
| | - Yexuan He
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 100191, Beijing, China
| | - Zhe Hao
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 100191, Beijing, China
| | - Qi Wang
- Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, 100142, Beijing, China
| | - Keji Zhou
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 100191, Beijing, China
| | - Wanhui Zhou
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 100191, Beijing, China
| | - Pu Wang
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 100191, Beijing, China
| | - Fei Shan
- Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, 100142, Beijing, China
| | - Zhongwu Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, 100142, Beijing, China
| | - Jiafu Ji
- Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, 100142, Beijing, China
| | - Yubo Fan
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 100191, Beijing, China
- School of Engineering Medicine, Beihang University, 100191, Beijing, China
| | - Ziyu Li
- Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, 100142, Beijing, China
| | - Shuhua Yue
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 100191, Beijing, China
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3
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Mo W, Ke Q, Zhou M, Xie G, Huang J, Gao F, Ni S, Yang X, Qi D, Wang A, Wen J, Yang Y, Jing M, Du K, Wang X, Du X, Zhao Z. Combined Morphological and Spectroscopic Diagnostic of HER2 Expression in Breast Cancer Tissues Based on Label-Free Surface-Enhanced Raman Scattering. Anal Chem 2023; 95:3019-3027. [PMID: 36706440 DOI: 10.1021/acs.analchem.2c05067] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Breast cancer is the most commonly diagnosed cancer type worldwide. Overexpression of human epidermal growth factor receptor 2 (HER2) is an important subtype of breast cancer and results in an increased risk of recurrence and metastasis in patients. At present, immunohistochemistry (IHC) is used to detect the expression of HER2 in breast cancer tissues as the golden standard. However, IHC has some shortcomings, such as large subjective impact, long time consumption, expensive reagents, etc. In this paper, a combined morphological and spectroscopic diagnostic method based on label-free surface-enhanced Raman scattering (SERS) for HER2 expression in breast cancer is proposed. It can not only quantitively detect HER2 expression in breast cancer tissues by spectroscopic measurements but also give morphological images reflecting the distribution of HER2 in tissues. The results show that the consistency between this method and IHC is 95% and achieves the annotation of tumor regions on tissue sections. This method is time-consuming, quantifiable, intuitive, scalable, and easy to understand. Combined with deep learning approaches, it is expected to promote the development of clinical detection and diagnosis technology for breast cancer and other cancers.
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Affiliation(s)
- Wenbo Mo
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China.,Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Qi Ke
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Minjie Zhou
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Gang Xie
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Jinglin Huang
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Feng Gao
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Shuang Ni
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Xiyue Yang
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Daojian Qi
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Anqun Wang
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Jiaxing Wen
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Yue Yang
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Meng Jing
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Kai Du
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Xuewu Wang
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Xiaobo Du
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Zongqing Zhao
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
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4
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Kujdowicz M, Perez-Guaita D, Chlosta P, Okon K, Malek K. Evaluation of grade and invasiveness of bladder urothelial carcinoma using infrared imaging and machine learning. Analyst 2023; 148:278-285. [PMID: 36525038 DOI: 10.1039/d2an01583h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Urothelial bladder carcinoma (BC) is primarily diagnosed with a subjective examination of biopsies by histopathologists, but accurate diagnosis remains time-consuming and of low diagnostic accuracy, especially for low grade non-invasive BC. We propose a novel approach for high-throughput BC evaluation by combining infrared (IR) microscopy of bladder sections with machine learning (partial least squares-discriminant analysis) to provide an automated prediction of the presence of cancer, invasiveness and grade. Cystoscopic biopsies from 50 patients with clinical suspicion of BC were histologically examined to assign grades and stages. Adjacent tissue cross-sections were IR imaged to provide hyperspectral datasets and cluster analysis segregated IR images to extract the average spectra of epithelial and subepithelial tissues. Discriminant models, which were validated using repeated random sampling double cross-validation, showed sensitivities (AUROC) ca. 85% (0.85) for the identification of cancer in epithelium and subepithelium. The diagnosis of non-invasive and invasive cases showed sensitivity values around 80% (0.84-0.85) and 76% (0.73-0.80), respectively, while the identification of low and high grade BC showed higher sensitivity values 87-88% (0.91-0.92). Finally, models for the discrimination between cancers with different invasiveness and grades showed more modest AUROC values (0.67-0.72). This proves the high potential of IR imaging in the development of ancillary platforms to screen bladder biopsies.
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Affiliation(s)
- Monika Kujdowicz
- Department of Pathomorphology, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Grzegorzecka 16, 31-531, Poland.,Faculty of Chemistry, Jagiellonian University in Krakow, Krakow, Gronostajowa 2, 30-387, Poland.
| | - David Perez-Guaita
- Department of Analytical Chemistry, University of Valencia, 50 Dr. Moliner Street, Research Building, 46100 Burjassot, Valencia, Spain.
| | - Piotr Chlosta
- Department of Urology, Medical Faculty, Jagiellonian University Medical College, Krakow, Jakubowskiego 2, 30-688, Poland
| | - Krzysztof Okon
- Department of Pathomorphology, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Grzegorzecka 16, 31-531, Poland
| | - Kamilla Malek
- Faculty of Chemistry, Jagiellonian University in Krakow, Krakow, Gronostajowa 2, 30-387, Poland.
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5
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郝 哲, 岳 蜀, 周 利. [Application of Raman-based technologies in the detection of urological tumors]. BEIJING DA XUE XUE BAO. YI XUE BAN = JOURNAL OF PEKING UNIVERSITY. HEALTH SCIENCES 2022; 54:779-784. [PMID: 35950408 PMCID: PMC9385527 DOI: 10.19723/j.issn.1671-167x.2022.04.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Indexed: 06/15/2023]
Abstract
Urinary system tumors affect a huge number of individuals, and are frequently recurrent and progressing following surgery, necessitating lifelong surveillance. As a result, early and precise diagnosis of urinary system cancers is important for prevention and therapy. Histopathology is now the golden stan-dard for the diagnosis, but it is invasive, time-consuming, and inconvenient for initial diagnosis and re-gular follow-up assessment. Endoscopy can directly witness the tumor's structure, but intrusive detection is likely to cause harm to the patient's organs, and it is apt to create other hazards in frequently examined patients. Imaging is a valuable non-invasive and quick assessment tool; however, it can be difficult to define the type of lesions and has limited sensitivity for early tumor detection. The conventional approaches for detecting tumors have their own set of limitations. Thus, detection methods that combine non-invasive detection, label-free detection, high sensitivity and high specificity are urgently needed to aid clinical diagnosis. Optical diagnostics and imaging are increasingly being employed in healthcare settings in a variety of sectors. Raman scattering can assess changes in molecular signatures in cancer cells or tissues based on the interaction with vibrational modes of common molecular bonds. Due to the advantages of label-free, strong chemical selectivity, and high sensitivity, Raman scattering, especially coherent Raman scattering microscopy imaging with high spatial resolution, has been widely used in biomedical research. And quantity studies have shown that it has a good application in the detection and diagnosis of bladder can-cer, renal clear cell carcinoma, prostate cancer, and other cancers. In this paper, several nonlinear imaging techniques based on Raman scattering technology are briefly described, including Raman spectroscopy, coherent anti-Stokes Raman scattering, stimulated Raman scattering, and surface-enhanced Raman spectroscopy. And we will discuss the application of these techniques for detecting urologic malignancy. Future research directions are predicted using the advantages and limitations of the aforesaid methodologies in the research. For clinical practice, Raman scattering technology is intended to enable more accurate, rapid, and non-invasive in early diagnosis, intraoperative margins, and pathological grading basis for clinical practice.
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Affiliation(s)
- 哲 郝
- 北京航空航天大学生物与医学工程学院,北京市生物医学工程高精尖创新中心,生物力学与力生物学教育部重点实验室,医用光子学研究所,北京 100083School of Biological and Medical Engineering, Beihang University, Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing 100083, China
| | - 蜀华 岳
- 北京航空航天大学生物与医学工程学院,北京市生物医学工程高精尖创新中心,生物力学与力生物学教育部重点实验室,医用光子学研究所,北京 100083School of Biological and Medical Engineering, Beihang University, Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing 100083, China
| | - 利群 周
- 北京航空航天大学生物与医学工程学院,北京市生物医学工程高精尖创新中心,生物力学与力生物学教育部重点实验室,医用光子学研究所,北京 100083School of Biological and Medical Engineering, Beihang University, Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing 100083, China
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Tolstik E, Gongalsky MB, Dierks J, Brand T, Pernecker M, Pervushin NV, Maksutova DE, Gonchar KA, Samsonova JV, Kopeina G, Sivakov V, Osminkina LA, Lorenz K. Raman and fluorescence micro-spectroscopy applied for the monitoring of sunitinib-loaded porous silicon nanocontainers in cardiac cells. Front Pharmacol 2022; 13:962763. [PMID: 36016563 PMCID: PMC9397571 DOI: 10.3389/fphar.2022.962763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 07/05/2022] [Indexed: 11/17/2022] Open
Abstract
Nanomaterials are a central pillar in modern medicine. They are thought to optimize drug delivery, enhance therapeutic efficacy, and reduce side-effects. To foster this technology, analytical methods are needed to validate not only the localization and distribution of these nanomaterials, but also their compatibility with cells, drugs, and drug release. In the present work, we assessed nanoparticles based on porous silicon (pSiNPs) loaded with the clinically used tyrosine kinase inhibitor sunitinib for their effectiveness of drug delivery, release, and toxicity in colon cancer cells (HCT 116 cells) and cardiac myoblast cells (H9c2) using Raman micro-spectroscopy, high-resolution fluorescence microscopy, along with biological methods for toxicological effects. We produced pSiNPs with a size of about 100 nm by grinding mesoporous silicon layers. pSiNPs allowed an effective loading of sunitinib due to their high porosity. Photoluminescence properties of the nanoparticles within the visible spectrum allowed the visualization of their uptake in cardiac cells. Raman micro-spectroscopy allowed not only the detection of the uptake and distribution of pSiNPs within the cells via a characteristic silicon Raman band at about 518–520 cm−1, but also the localization of the drug based on its characteristic molecular fingerprints. Cytotoxicity studies by Western blot analyses of apoptotic marker proteins such as caspase-3, and the detection of apoptosis by subG1-positive cell fractions in HCT 116 and MTT analyses in H9c2 cells, suggest a sustained release of sunitinib from pSiNPs and delayed cytotoxicity of sunitinib in HCT 116 cells. The analyses in cardiac cells revealed that pSiNPs are well tolerated and that they may even protect from toxic effects in these cells to some extent. Analyses of the integrity of mitochondrial networks as an early indicator for apoptotic cellular effects seem to validate these observations. Our study suggests pSiNPs-based nanocontainers for efficient and safe drug delivery and Raman micro-spectroscopy as a reliable method for their detection and monitoring. Thus, the herein presented nanocontainers and analytical methods have the potential to allow an efficient advancement of nanoparticles for targeted and sustained intracellular drug release that is of need, e.g., in chronic diseases and for the prevention of cardiac toxicity.
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Affiliation(s)
- E. Tolstik
- Leibniz-Institut für Analytische Wissenschaften—ISAS—e.V., Dortmund, Germany
- *Correspondence: E. Tolstik, elen.tolstik@isas; L. A. Osminkina, ; K. Lorenz,
| | - M. B. Gongalsky
- Lomonosov Moscow State University, Faculty of Physics, Moscow, Russia
| | - J. Dierks
- Leibniz-Institut für Analytische Wissenschaften—ISAS—e.V., Dortmund, Germany
| | - T. Brand
- Institute of Pharmacology and Toxicology, University of Würzburg, Würzburg, Germany
| | - M. Pernecker
- Leibniz-Institut für Analytische Wissenschaften—ISAS—e.V., Dortmund, Germany
| | - N. V. Pervushin
- Lomonosov Moscow State University, Faculty of Medicine, Moscow, Russia
| | - D. E. Maksutova
- Lomonosov Moscow State University, Faculty of Physics, Moscow, Russia
| | - K. A. Gonchar
- Lomonosov Moscow State University, Faculty of Physics, Moscow, Russia
| | - J. V. Samsonova
- Lomonosov Moscow State University, Faculty of Chemistry, Moscow, Russia
| | - G. Kopeina
- Lomonosov Moscow State University, Faculty of Medicine, Moscow, Russia
| | - V. Sivakov
- Leibniz Institute of Photonic Technology, Department Functional Interfaces, Jena, Germany
| | - L. A. Osminkina
- Lomonosov Moscow State University, Faculty of Physics, Moscow, Russia
- Institute for Biological Instrumentation of Russian Academy of Sciences, Moscow, Russia
- *Correspondence: E. Tolstik, elen.tolstik@isas; L. A. Osminkina, ; K. Lorenz,
| | - K. Lorenz
- Leibniz-Institut für Analytische Wissenschaften—ISAS—e.V., Dortmund, Germany
- Institute of Pharmacology and Toxicology, University of Würzburg, Würzburg, Germany
- Comprehensive Heart Failure Center, University Hospital of Würzburg, Würzburg, Germany
- *Correspondence: E. Tolstik, elen.tolstik@isas; L. A. Osminkina, ; K. Lorenz,
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In Situ Identification of Unknown Crystals in Acute Kidney Injury Using Raman Spectroscopy. NANOMATERIALS 2022; 12:nano12142395. [PMID: 35889619 PMCID: PMC9323692 DOI: 10.3390/nano12142395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/09/2022] [Accepted: 07/11/2022] [Indexed: 11/17/2022]
Abstract
Raman spectroscopy is a well-established and powerful tool for in situ biomolecular evaluation. Type 2 crystal nephropathies are characterized by the deposition of crystalline materials in the tubular lumen, resulting in rapid onset of acute kidney injury without specific symptoms. Timely crystal identification is essential for its diagnosis, mechanism exploration and therapy, but remains challenging. This study aims to develop a Raman spectroscopy-based method to assist pathological diagnosis of type 2 crystal nephropathies. Unknown crystals in renal tissue slides from a victim suffered extensive burn injury were detected by Raman spectroscopy, and the inclusion of crystals was determined by comparing Raman data with established database. Multiple crystals were scanned to verify the reproducibility of crystal in situ. Raman data of 20 random crystals were obtained, and the distribution and uniformity of substances in crystals were investigated by Raman imaging. A mouse model was established to mimic the crystal nephropathy to verify the availability of Raman spectroscopy in frozen biopsy. All crystals on the human slides were identified to be calcium oxalate dihydrate, and the distribution and content of calcium oxalate dihydrate on a single crystal were uneven. Raman spectroscopy was further validated to be available in identification of calcium oxalate dihydrate crystals in the biopsy specimens. Here, a Raman spectroscopy-based method for in situ identification of unknown crystals in both paraffin-embedded tissues and biopsy specimens was established, providing an effective and promising method to analyze unknown crystals in tissues and assist the precise pathological diagnosis in both clinical and forensic medicine.
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El-Mashtoly SF, Gerwert K. Diagnostics and Therapy Assessment Using Label-Free Raman Imaging. Anal Chem 2021; 94:120-142. [PMID: 34852454 DOI: 10.1021/acs.analchem.1c04483] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Samir F El-Mashtoly
- Center for Protein Diagnostics, Ruhr University Bochum, 44801 Bochum, Germany.,Department of Biophysics, Faculty of Biology and Biotechnology, Ruhr University Bochum, 44801 Bochum, Germany
| | - Klaus Gerwert
- Center for Protein Diagnostics, Ruhr University Bochum, 44801 Bochum, Germany.,Department of Biophysics, Faculty of Biology and Biotechnology, Ruhr University Bochum, 44801 Bochum, Germany
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9
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Meyer TJ, Gerhard-Hartmann E, Lodes N, Scherzad A, Hagen R, Steinke M, Hackenberg S. Pilot study on the value of Raman spectroscopy in the entity assignment of salivary gland tumors. PLoS One 2021; 16:e0257470. [PMID: 34529739 PMCID: PMC8445432 DOI: 10.1371/journal.pone.0257470] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 09/01/2021] [Indexed: 11/18/2022] Open
Abstract
Background The entity assignment of salivary gland tumors (SGT) based on histomorphology can be challenging. Raman spectroscopy has been applied to analyze differences in the molecular composition of tissues. The aim of this study was to evaluate the suitability of RS for entity assignment in SGT. Methods Raman data were collected in deparaffinized sections of pleomorphic adenomas (PA) and adenoid cystic carcinomas (ACC). Multivariate data and chemometric analysis were completed using the Unscrambler software. Results The Raman spectra detected in ACC samples were mostly assigned to nucleic acids, lipids, and amides. In a principal component-based linear discriminant analysis (LDA) 18 of 20 tumor samples were classified correctly. Conclusion In this proof of concept study, we show that a reliable SGT diagnosis based on LDA algorithm appears possible, despite variations in the entity-specific mean spectra. However, a standardized workflow for tissue sample preparation, measurement setup, and chemometric algorithms is essential to get reliable results.
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Affiliation(s)
- Till Jasper Meyer
- Department of Oto-Rhino-Laryngology, Plastic, Aesthetic & Reconstructive Head and Neck Surgery, University Hospital Würzburg, Würzburg, Germany
- * E-mail:
| | | | - Nina Lodes
- Chair of Tissue Engineering and Regenerative Medicine, University Hospital Würzburg, Würzburg, Germany
| | - Agmal Scherzad
- Department of Oto-Rhino-Laryngology, Plastic, Aesthetic & Reconstructive Head and Neck Surgery, University Hospital Würzburg, Würzburg, Germany
| | - Rudolf Hagen
- Department of Oto-Rhino-Laryngology, Plastic, Aesthetic & Reconstructive Head and Neck Surgery, University Hospital Würzburg, Würzburg, Germany
| | - Maria Steinke
- Chair of Tissue Engineering and Regenerative Medicine, University Hospital Würzburg, Würzburg, Germany
- Fraunhofer Institute for Silicate Research ISC, Würzburg, Germany
| | - Stephan Hackenberg
- Department of Oto-Rhino-Laryngology, Plastic, Aesthetic & Reconstructive Head and Neck Surgery, University Hospital Würzburg, Würzburg, Germany
- Department of Otorhinolaryngology – Head and Neck Surgery, RWTH Aachen University Hospital, Aachen, Germany
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10
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Liu Z, Zhang P, Wang H, Zheng B, Sun L, Zhang D, Fan J. Raman Spectrum-Based Diagnosis Strategy for Bladder Tumor. Urol Int 2021; 106:109-115. [PMID: 34515249 DOI: 10.1159/000518877] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 06/21/2021] [Indexed: 11/19/2022]
Abstract
Raman spectroscopy is an optical technique that can potentially serve as a molecular diagnosis method. This approach is excellent in many aspects for diagnosing bladder tumors, and over the last 20 years, there has been a rapid increase in the number of related studies. However, no review article has covered the wide use of Raman spectroscopy in bladder tumors. A total of 26 original studies have suggested that Raman spectroscopy shows good performance in diagnosing bladder tumors from 4 aspects, including tissue sections, endoscopic methods, cell screening, and biomarkers. However, Raman spectroscopy needs to be modified by combining it with other techniques, and studies based on a large population are still urgently needed to expand its clinical value.
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Affiliation(s)
- Zhenghong Liu
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China, .,Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China,
| | - Pu Zhang
- Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Heng Wang
- Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Bin Zheng
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.,Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Li Sun
- Hangzhou Medical College, Hangzhou, China
| | - Dahong Zhang
- Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Jinhai Fan
- Department of Urology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, China
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11
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Traynor D, Behl I, O'Dea D, Bonnier F, Nicholson S, O'Connell F, Maguire A, Flint S, Galvin S, Healy CM, Martin CM, O'Leary JJ, Malkin A, Byrne HJ, Lyng FM. Raman spectral cytopathology for cancer diagnostic applications. Nat Protoc 2021; 16:3716-3735. [PMID: 34117476 DOI: 10.1038/s41596-021-00559-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 04/19/2021] [Indexed: 02/05/2023]
Abstract
Raman spectroscopy can provide a rapid, label-free, nondestructive measurement of the chemical fingerprint of a sample and has shown potential for cancer screening and diagnosis. Here we report a protocol for Raman microspectroscopic analysis of different exfoliative cytology samples (cervical, oral and lung), covering sample preparation, spectral acquisition, preprocessing and data analysis. The protocol takes 2 h 20 min for sample preparation, measurement and data preprocessing and up to 8 h for a complete analysis. A key feature of the protocol is that it uses the same sample preparation procedure as commonly used in diagnostic cytology laboratories (i.e., liquid-based cytology on glass slides), ensuring compatibility with clinical workflows. Our protocol also covers methods to correct for the spectral contribution of glass and sample pretreatment methods to remove contaminants (such as blood and mucus) that can obscure spectral features in the exfoliated cells and lead to variability. The protocol establishes a standardized clinical routine allowing the collection of highly reproducible data for Raman spectral cytopathology for cancer diagnostic applications for cervical and lung cancer and for monitoring suspicious lesions for oral cancer.
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Affiliation(s)
- Damien Traynor
- Centre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, Dublin, Ireland.,School of Physics & Clinical & Optometric Sciences, Technological University Dublin, Dublin, Ireland
| | - Isha Behl
- Centre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, Dublin, Ireland.,School of Physics & Clinical & Optometric Sciences, Technological University Dublin, Dublin, Ireland
| | - Declan O'Dea
- Centre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, Dublin, Ireland.,School of Biological and Health Sciences, Technological University Dublin, Dublin, Ireland
| | - Franck Bonnier
- EA 6295 Nanomédicaments et Nanosondes, Université de Tours, Tours, France
| | | | | | | | - Stephen Flint
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College, Dublin, Ireland
| | - Sheila Galvin
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College, Dublin, Ireland
| | - Claire M Healy
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College, Dublin, Ireland
| | - Cara M Martin
- Discipline of Histopathology, University of Dublin Trinity College, Dublin, Ireland.,Emer Casey Molecular Pathology Research Laboratory, The Coombe Women and Infants University Hospital, Dublin, Ireland.,CERVIVA Research Consortium, Dublin, Ireland
| | - John J O'Leary
- Discipline of Histopathology, University of Dublin Trinity College, Dublin, Ireland.,Emer Casey Molecular Pathology Research Laboratory, The Coombe Women and Infants University Hospital, Dublin, Ireland.,CERVIVA Research Consortium, Dublin, Ireland
| | - Alison Malkin
- School of Biological and Health Sciences, Technological University Dublin, Dublin, Ireland
| | - Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, Dublin, Ireland
| | - Fiona M Lyng
- Centre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, Dublin, Ireland. .,School of Physics & Clinical & Optometric Sciences, Technological University Dublin, Dublin, Ireland. .,CERVIVA Research Consortium, Dublin, Ireland.
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12
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He C, Wu X, Zhou J, Chen Y, Ye J. Raman optical identification of renal cell carcinoma via machine learning. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 252:119520. [PMID: 33582436 DOI: 10.1016/j.saa.2021.119520] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 01/18/2021] [Accepted: 01/19/2021] [Indexed: 05/06/2023]
Abstract
High pathologic tumor-node-metastasis (pTNM) stage grade or Fuhrman grade indicates poor oncological outcome in renal cell carcinoma (RCC). Early diagnosis and screening of these RCCs and adjust surgical planning accordingly are greatly beneficial to patients. Raman spectroscopy is a highly specific fingerprint spectrum on molecular level, pretty appropriate for label-free and noninvasive cancer diagnosis. In this work we established a Raman spectrum-based supporting vector machine (SVM) model to accurately ex vivo distinguish human renal tumor from normal tissues and fat with an accuracy of 92.89%. The model can also be used to determine tumor boundary, showing consistent results to pathological staining analysis. This method can be additionally used to accomplish the classification purposes of renal tumor subtypes and grades with an accuracy of 86.79% and 89.53%, respectively. Therefore, we prove that Raman spectroscopy has great potential in the rapid and accurate clinical diagnosis of renal cancers.
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Affiliation(s)
- Chang He
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Xiaorong Wu
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, PR China
| | - Jiale Zhou
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, PR China
| | - Yonghui Chen
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, PR China.
| | - Jian Ye
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China; Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, PR China.
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13
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Ramya AN, Arya JS, Madhukrishnan M, Shamjith S, Vidyalekshmi MS, Maiti KK. Raman Imaging: An Impending Approach Towards Cancer Diagnosis. Chem Asian J 2021; 16:409-422. [PMID: 33443291 DOI: 10.1002/asia.202001340] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 01/11/2021] [Indexed: 12/18/2022]
Abstract
In accordance with the recent studies, Raman spectroscopy is well experimented as a highly sensitive analytical and imaging technique in biomedical research, mainly for various disease diagnosis including cancer. In comparison with other imaging modalities, Raman spectroscopy facilitate numerous assistances owing to its low background signal, immense spatial resolution, high chemical specificity, multiplexing capability, excellent photo stability and non-invasive detection capability. In cancer diagnosis Raman imaging intervened as a promising investigative tool to provide molecular level information to differentiate the cancerous vs non-cancerous cells, tissues and even in body fluids. Anciently, spontaneous Raman scattering is very feeble due to its low signal intensity and long acquisition time but new advanced techniques like coherent Raman scattering (CRS) and surface enhanced Raman scattering (SERS) gradually superseded these issues. So, the present review focuses on the recent developments and applications of Raman spectroscopy-based imaging techniques for cancer diagnosis.
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Affiliation(s)
- Adukkadan N Ramya
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Jayadev S Arya
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Murali Madhukrishnan
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Shanmughan Shamjith
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Murukan S Vidyalekshmi
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Kaustabh K Maiti
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
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14
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In Vitro Spectroscopy-Based Profiling of Urothelial Carcinoma: A Fourier Transform Infrared and Raman Imaging Study. Cancers (Basel) 2021; 13:cancers13010123. [PMID: 33401726 PMCID: PMC7796146 DOI: 10.3390/cancers13010123] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 12/17/2020] [Accepted: 12/21/2020] [Indexed: 11/21/2022] Open
Abstract
Simple Summary The mortality and recurrence associated with urothelial carcinoma are high. High heterogeneity makes it hard to detect with currently available methods such as cytology and histology. We propose here vibrational spectroscopic imaging as an additional diagnostic tool for the classification of bladder cancer. Our study revealed that chemism-induced spectroscopic features of the cancer cells of various stages and invasiveness were specifically detected. Abstract Markers of bladder cancer cells remain elusive, which is a major cause of the low recognition of this malignant neoplasm and its recurrence. This implies an urgent need for additional diagnostic tools which are based on the identification of the chemism of bladder cancer. In this study, we employed label-free techniques of molecular imaging—Fourier Transform Infrared and Raman spectroscopic imaging—to investigate bladder cancer cell lines of various invasiveness (T24a, T24p, HT-1376, and J82). The urothelial HCV-29 cell line was the healthy control. Specific biomolecules discriminated spatial distribution of the nucleus and cytoplasm and indicated the presence of lipid bodies and graininess in some cell lines. The most prominent discriminators are the total content of lipids and sugar moieties as well as the presence of glycogen and other carbohydrates, un/saturated lipids, cytochromes, and a level of S-S bridges in proteins. The combination of the obtained hyperspectral database and chemometric methods showed a clear differentiation of each cell line at the level of the nuclei and cytoplasm and pointed out spectral signals which differentiated bladder cancer cells. Registered spectral markers correlated with biochemical composition changes can be associated with pathogenesis and potentially used for the diagnosis of bladder cancer and response to experimental therapies.
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15
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Benderska-Söder N, Hovanec J, Pesch B, Goebell PJ, Roghmann F, Noldus J, Rabinovich J, Wichert K, Gleichenhagen J, Käfferlein HU, Köhler CU, Johnen G, Kernig K, Hakenberg O, Jahn D, Todenhöfer T, Stenzl A, Gleissner J, Gerwert K, El-Mashtoly S, Behrens T, Brüning T, Schmitz-Dräger BJ. Toward noninvasive follow-up of low-risk bladder cancer - Rationale and concept of the UroFollow trial. Urol Oncol 2020; 38:886-895. [PMID: 32199755 DOI: 10.1016/j.urolonc.2020.01.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 01/06/2020] [Accepted: 01/12/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND Follow-up recommendations for patients with nonmuscle invasive bladder cancer (NMIBC) are largely based upon expert opinion. A growing body of evidence suggests that current follow-up strategies for bladder cancer patients with low and intermediate risk represent overdiagnosis and may lead to overtreatment. The goal of this study is to explore the options of a noninvasive follow-up in patients with pTa G1-2/low-grade NMIBC. METHODS The risks and options for a urine marker-guided, noninvasive follow-up of patients with pTa G1-2/low-grade NMIBC were defined and the study design for a prospective randomized trial (UroFollow) was developed based upon the current literature. RESULTS The investigators postulated that follow-up of patients with pTa G1-2/low-grade NMIBC requires a high sensitivity of urinary tumor markers. However, data from prospective studies with prediagnostic urine samples are scarce, even for approved markers, and cross-sectional studies with symptomatic patients overestimate the sensitivity. So far, cell-based markers (e.g., uCyt+ and UroVysion) in urine appeared to have higher sensitivities and specificities in low-grade NMIBC than urine cytology and markers analyzing soluble tumor-associated antigens. Marker panels are more sensitive than single-marker approaches at the expense of a lower specificity. Given a prospective randomized comparison with a marker sensitivity of 80% compared to usual care with cystoscopy, the sample size calculation yielded that 62 to 185 patients under study per arm are needed depending on different recurrence rates. CONCLUSIONS Based upon these findings the UroFollow trial has been designed as a prospective randomized study comparing a noninvasive marker-based (UroVysion, NMP22, urine cytology, and ultrasound) follow-up with the current standard of care over a period of 3 years.
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Affiliation(s)
| | - Jan Hovanec
- Institute for Prevention and Occupational Medicine of the German Social Accidence Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
| | - Beate Pesch
- Institute for Prevention and Occupational Medicine of the German Social Accidence Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
| | - Peter J Goebell
- Department of Urology, Friedrich-Alexander University, Erlangen, Germany
| | - Florian Roghmann
- Department of Urology, Marienhospital Herne, Ruhr University Bochum, Bochum, Germany
| | - Joachim Noldus
- Department of Urology, Marienhospital Herne, Ruhr University Bochum, Bochum, Germany
| | | | - Katharina Wichert
- Institute for Prevention and Occupational Medicine of the German Social Accidence Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
| | - Jan Gleichenhagen
- Institute for Prevention and Occupational Medicine of the German Social Accidence Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
| | - Heiko U Käfferlein
- Institute for Prevention and Occupational Medicine of the German Social Accidence Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
| | - Christina U Köhler
- Institute for Prevention and Occupational Medicine of the German Social Accidence Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
| | - Georg Johnen
- Institute for Prevention and Occupational Medicine of the German Social Accidence Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
| | - Karoline Kernig
- Department of Urology, University of Rostock, Rostock, Germany
| | | | - Daniela Jahn
- Department of Urology, University of Rostock, Rostock, Germany
| | - Tilman Todenhöfer
- Department of Urology, Eberhard-Karls-University of Tübingen, Tübingen, Germany
| | - Arnulf Stenzl
- Department of Urology, Eberhard-Karls-University of Tübingen, Tübingen, Germany
| | | | - Klaus Gerwert
- Ruhr University Bochum, Faculty of Biology and Biotechnology, Department of Biophysics, Bochum, Germany; Ruhr University Bochum, Center for Protein Diagnostics (ProDi), Biospectroscopy, Bochum, Germany
| | - Samir El-Mashtoly
- Ruhr University Bochum, Faculty of Biology and Biotechnology, Department of Biophysics, Bochum, Germany; Ruhr University Bochum, Center for Protein Diagnostics (ProDi), Biospectroscopy, Bochum, Germany
| | - Thomas Behrens
- Institute for Prevention and Occupational Medicine of the German Social Accidence Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accidence Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
| | - Bernd J Schmitz-Dräger
- Urologie 24, Nürnberg, Germany; Department of Urology, Friedrich-Alexander University, Erlangen, Germany.
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16
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Cordero E, Rüger J, Marti D, Mondol AS, Hasselager T, Mogensen K, Hermann GG, Popp J, Schie IW. Bladder tissue characterization using probe-based Raman spectroscopy: Evaluation of tissue heterogeneity and influence on the model prediction. JOURNAL OF BIOPHOTONICS 2020; 13:e201960025. [PMID: 31617683 PMCID: PMC7065650 DOI: 10.1002/jbio.201960025] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 10/07/2019] [Accepted: 10/07/2019] [Indexed: 06/10/2023]
Abstract
Existing approaches for early-stage bladder tumor diagnosis largely depend on invasive and time-consuming procedures, resulting in hospitalization, bleeding, bladder perforation, infection and other health risks for the patient. The reduction of current risk factors, while maintaining or even improving the diagnostic precision, is an underlying factor in clinical instrumentation research. For example, for clinic surveillance of patients with a history of noninvasive bladder tumors real-time tumor diagnosis can enable immediate laser-based removal of tumors using flexible cystoscopes in the outpatient clinic. Therefore, novel diagnostic modalities are required that can provide real-time in vivo tumor diagnosis. Raman spectroscopy provides biochemical information of tissue samples ex vivo and in vivo and without the need for complicated sample preparation and staining procedures. For the past decade there has been a rise in applications to diagnose and characterize early cancer in different organs, such as in head and neck, colon and stomach, but also different pathologies, for example, inflammation and atherosclerotic plaques. Bladder pathology has also been studied but only with little attention to aspects that can influence the diagnosis, such as tissue heterogeneity, data preprocessing and model development. The present study presents a clinical investigative study on bladder biopsies to characterize the tumor grading ex vivo, using a compact fiber probe-based imaging Raman system, as a crucial step towards in vivo Raman endoscopy. Furthermore, this study presents an evaluation of the tissue heterogeneity of highly fluorescent bladder tissues, and the multivariate statistical analysis for discrimination between nontumor tissue, and low- and high-grade tumor.
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Affiliation(s)
- Eliana Cordero
- Department of Spectroscopy and ImagingLeibniz Institute of Photonic Technology (Leibniz‐IPHT)JenaGermany
| | - Jan Rüger
- Department of Spectroscopy and ImagingLeibniz Institute of Photonic Technology (Leibniz‐IPHT)JenaGermany
| | - Dominik Marti
- Department of Health TechnologyTechnical University of Denmark (DTU)RoskildeDenmark
| | - Abdullah S. Mondol
- Department of Spectroscopy and ImagingLeibniz Institute of Photonic Technology (Leibniz‐IPHT)JenaGermany
| | | | | | | | - Jürgen Popp
- Department of Spectroscopy and ImagingLeibniz Institute of Photonic Technology (Leibniz‐IPHT)JenaGermany
- Institute of Physical Chemistry, Friedrich Schiller University JenaJenaGermany
| | - Iwan W. Schie
- Department of Spectroscopy and ImagingLeibniz Institute of Photonic Technology (Leibniz‐IPHT)JenaGermany
- Department of Medical Engineering and BiotechnologyUniversity of Applied Sciences, JenaJenaGermany
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17
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Label-free metabolic imaging by mid-infrared optoacoustic microscopy in living cells. Nat Biotechnol 2019; 38:293-296. [PMID: 31873214 DOI: 10.1038/s41587-019-0359-9] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 11/12/2019] [Indexed: 12/20/2022]
Abstract
We develop mid-infrared optoacoustic microscopy (MiROM) for label-free, bond-selective, live-cell metabolic imaging, enabling spatiotemporal monitoring of carbohydrates, lipids and proteins in cells and tissues. Using acoustic detection of optical absorption, MiROM converts mid-infrared sensing into a positive-contrast imaging modality with negligible photodamage and high sensitivity. We use MiROM to observe changes in intrinsic carbohydrate distribution from a diffusive spatial pattern to tight co-localization with lipid droplets during adipogenesis.
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18
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Yosef HK, Schütze K. Raman Trapping Microscopy for Non-invasive Analysis of Biological Samples. Methods Mol Biol 2019; 2095:303-317. [PMID: 31858476 DOI: 10.1007/978-1-0716-0191-4_18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Raman microscopy is an emerging tool in biomedicine. It provides label-free and non-invasive analysis of biological cells. Due to its high biochemical specificity, Raman spectroscopy can be used to acquire spectral fingerprints that allow characterizing cells types and states. Here, we present a methodological approach for implementing Raman microscopy in skin cell measurements. Raman spectra can clearly identify keratinocytes, fibroblasts, and melanocytes cells that are involved in the production of autologous skin grafts. Consequently, Raman microscopy is a promising tool that can be used to analyze single cells and to test the quality of therapeutic cell products.
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19
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Krafft C, Popp J. Medical needs for translational biophotonics with the focus on Raman‐based methods. TRANSLATIONAL BIOPHOTONICS 2019. [DOI: 10.1002/tbio.201900018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Affiliation(s)
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology Jena Germany
- Institute of Physical Chemistry and Abbe Center of PhotonicsFriedrich Schiller University Jena Jena Germany
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20
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Abstract
Abstract
A potential role of optical technologies in medicine including micro-Raman spectroscopy is diagnosis of bacteria, cells and tissues which is covered in this chapter. The main advantage of Raman-based methods to complement and augment diagnostic tools is that unsurpassed molecular specificity is achieved without labels and in a nondestructive way. Principles and applications of micro-Raman spectroscopy in the context of medicine will be described. First, Raman spectra of biomolecules representing proteins, nucleic acids, lipids and carbohydrates are introduced. Second, microbial applications are summarized with the focus on typing on species and strain level, detection of infections, antibiotic resistance and biofilms. Third, cytological applications are presented to classify single cells and study cell metabolism and drug–cell interaction. Fourth, applications to tissue characterization start with discussion of lateral resolution for Raman imaging followed by Raman-based detection of pathologies and combination with other modalities. Finally, an outlook is given to translate micro-Raman spectroscopy as a clinical tool to solve unmet needs in point-of-care applications and personalized treatment of diseases.
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21
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Qi G, Zhang Y, Wang J, Wang D, Wang B, Li H, Jin Y. Smart Plasmonic Nanozyme Enhances Combined Chemo-photothermal Cancer Therapy and Reveals Tryptophan Metabolic Apoptotic Pathway. Anal Chem 2019; 91:12203-12211. [DOI: 10.1021/acs.analchem.9b01655] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Guohua Qi
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
| | - Ying Zhang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, People’s Republic of China
- University of Science and Technology of China, Hefei 230026, People’s Republic of China
| | - Jiafeng Wang
- Department of Endodontics, School and Hospital of Stomatology, Jilin University, Changchun 130021, Jilin, People’s Republic of China
| | - Dandan Wang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, People’s Republic of China
- University of Science and Technology of China, Hefei 230026, People’s Republic of China
| | - Bo Wang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, People’s Republic of China
| | - Haijuan Li
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, People’s Republic of China
| | - Yongdong Jin
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
- University of Science and Technology of China, Hefei 230026, People’s Republic of China
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22
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Aljakouch K, Hilal Z, Daho I, Schuler M, Krauß SD, Yosef HK, Dierks J, Mosig A, Gerwert K, El-Mashtoly SF. Fast and Noninvasive Diagnosis of Cervical Cancer by Coherent Anti-Stokes Raman Scattering. Anal Chem 2019; 91:13900-13906. [DOI: 10.1021/acs.analchem.9b03395] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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23
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Salem H, Ellakwa DES, Fouad H, Hamid MA. APOA1 AND APOA2 proteins as prognostic markers for early detection of urinary bladder cancer. GENE REPORTS 2019. [DOI: 10.1016/j.genrep.2019.100463] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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24
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Ralbovsky NM, Lednev IK. Raman spectroscopy and chemometrics: A potential universal method for diagnosing cancer. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2019; 219:463-487. [PMID: 31075613 DOI: 10.1016/j.saa.2019.04.067] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 04/20/2019] [Accepted: 04/24/2019] [Indexed: 05/14/2023]
Abstract
Cancer is the second-leading cause of death worldwide. It affects an unfathomable number of people, with almost 16 million Americans currently living with it. While many cancers can be detected, current diagnostic efforts exhibit definite room for improvement. It is imperative that a person be diagnosed with cancer as early on in its progression as possible. An earlier diagnosis allows for the best treatment and intervention options available to be presented. Unfortunately, existing methods for diagnosing cancer can be expensive, invasive, inconclusive or inaccurate, and are not always made during initial stages of the disease. As such, there is a crucial unmet need to develop a singular universal method that is reliable, cost-effective, and non-invasive and can diagnose all forms of cancer early-on. Raman spectroscopy in combination with advanced statistical analysis is offered here as a potential solution for this need. This review covers recently published research in which Raman spectroscopy was used for the purpose of diagnosing cancer. The benefits and the risks of the methodology are presented; however, there is overwhelming evidence that suggests Raman spectroscopy is highly suitable for becoming the first universal method to be used for diagnosing cancer.
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Affiliation(s)
- Nicole M Ralbovsky
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA
| | - Igor K Lednev
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA.
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Wang N, Cao H, Wang L, Ren F, Zeng Q, Xu X, Liang J, Zhan Y, Chen X. Recent Advances in Spontaneous Raman Spectroscopic Imaging: Instrumentation and Applications. Curr Med Chem 2019; 27:6188-6207. [PMID: 31237196 DOI: 10.2174/0929867326666190619114431] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2019] [Revised: 04/04/2019] [Accepted: 04/05/2019] [Indexed: 11/22/2022]
Abstract
BACKGROUND Spectroscopic imaging based on the spontaneous Raman scattering effects can provide unique fingerprint information in relation to the vibration bands of molecules. Due to its advantages of high chemical specificity, non-invasive detection capability, low sensitivity to water, and no special sample pretreatment, Raman Spectroscopic Imaging (RSI) has become an invaluable tool in the field of biomedicine and medicinal chemistry. METHODS There are three methods to implement RSI, including point scanning, line scanning and wide-field RSI. Point-scanning can achieve two-and three-dimensional imaging of target samples. High spectral resolution, full spectral range and confocal features render this technique highly attractive. However, point scanning based RSI is a time-consuming process that can take several hours to map a small area. Line scanning RSI is an extension of point scanning method, with an imaging speed being 300-600 times faster. In the wide-field RSI, the laser illuminates the entire region of interest directly and all the images then collected for analysis. In general, it enables more accurate chemical imaging at faster speeds. RESULTS This review focuses on the recent advances in RSI, with particular emphasis on the latest developments on instrumentation and the related applications in biomedicine and medicinal chemistry. Finally, we prospect the development trend of RSI as well as its potential to translation from bench to bedside. CONCLUSION RSI is a powerful technique that provides unique chemical information, with a great potential in the fields of biomedicine and medicinal chemistry.
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Affiliation(s)
- Nan Wang
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of China, Xi’an, Shaanxi 710126, China,School of Life Science and Technology, Xidian University, P.O. Box: 0528, Xi’an, Shaanxi 710126, China
| | - Honghao Cao
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of China, Xi’an, Shaanxi 710126, China,School of Life Science and Technology, Xidian University, P.O. Box: 0528, Xi’an, Shaanxi 710126, China
| | - Lin Wang
- School of Information Sciences and Techonlogy, Northwest University, Xi’an, Shaanxi 710127, China
| | - Feng Ren
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of China, Xi’an, Shaanxi 710126, China,School of Life Science and Technology, Xidian University, P.O. Box: 0528, Xi’an, Shaanxi 710126, China
| | - Qi Zeng
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of China, Xi’an, Shaanxi 710126, China,School of Life Science and Technology, Xidian University, P.O. Box: 0528, Xi’an, Shaanxi 710126, China
| | - Xinyi Xu
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of China, Xi’an, Shaanxi 710126, China,School of Life Science and Technology, Xidian University, P.O. Box: 0528, Xi’an, Shaanxi 710126, China
| | - Jimin Liang
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of China, Xi’an, Shaanxi 710126, China,School of Life Science and Technology, Xidian University, P.O. Box: 0528, Xi’an, Shaanxi 710126, China
| | - Yonghua Zhan
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of China, Xi’an, Shaanxi 710126, China,School of Life Science and Technology, Xidian University, P.O. Box: 0528, Xi’an, Shaanxi 710126, China
| | - Xueli Chen
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of China, Xi’an, Shaanxi 710126, China,School of Life Science and Technology, Xidian University, P.O. Box: 0528, Xi’an, Shaanxi 710126, China
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Raulf AP, Butke J, Küpper C, Großerueschkamp F, Gerwert K, Mosig A. Deep representation learning for domain adaptable classification of infrared spectral imaging data. Bioinformatics 2019; 36:287-294. [DOI: 10.1093/bioinformatics/btz505] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 05/28/2019] [Accepted: 06/13/2019] [Indexed: 02/05/2023] Open
Abstract
AbstractMotivationApplying infrared microscopy in the context of tissue diagnostics heavily relies on computationally preprocessing the infrared pixel spectra that constitute an infrared microscopic image. Existing approaches involve physical models, which are non-linear in nature and lead to classifiers that do not generalize well, e.g. across different types of tissue preparation. Furthermore, existing preprocessing approaches involve iterative procedures that are computationally demanding, so that computation time required for preprocessing does not keep pace with recent progress in infrared microscopes which can capture whole-slide images within minutes.ResultsWe investigate the application of stacked contractive autoencoders as an unsupervised approach to preprocess infrared microscopic pixel spectra, followed by supervised fine-tuning to obtain neural networks that can reliably resolve tissue structure. To validate the robustness of the resulting classifier, we demonstrate that a network trained on embedded tissue can be transferred to classify fresh frozen tissue. The features obtained from unsupervised pretraining thus generalize across the large spectral differences between embedded and fresh frozen tissue, where under previous approaches separate classifiers had to be trained from scratch.Availability and implementationOur implementation can be downloaded from https://github.com/arnrau/SCAE_IR_Spectral_Imaging.Supplementary informationSupplementary data are available at Bioinformatics online.
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Affiliation(s)
- Arne P Raulf
- Center for Protein Diagnostics (ProDi), 44801 Bochum, Germany
- Chair of Biophysics, Department for Biology and Biotechnology, Ruhr-Universität Bochum, 44801 Bochum, Germany
| | - Joshua Butke
- Center for Protein Diagnostics (ProDi), 44801 Bochum, Germany
- Chair of Biophysics, Department for Biology and Biotechnology, Ruhr-Universität Bochum, 44801 Bochum, Germany
| | - Claus Küpper
- Center for Protein Diagnostics (ProDi), 44801 Bochum, Germany
- Chair of Biophysics, Department for Biology and Biotechnology, Ruhr-Universität Bochum, 44801 Bochum, Germany
| | - Frederik Großerueschkamp
- Center for Protein Diagnostics (ProDi), 44801 Bochum, Germany
- Chair of Biophysics, Department for Biology and Biotechnology, Ruhr-Universität Bochum, 44801 Bochum, Germany
| | - Klaus Gerwert
- Center for Protein Diagnostics (ProDi), 44801 Bochum, Germany
- Chair of Biophysics, Department for Biology and Biotechnology, Ruhr-Universität Bochum, 44801 Bochum, Germany
| | - Axel Mosig
- Center for Protein Diagnostics (ProDi), 44801 Bochum, Germany
- Chair of Biophysics, Department for Biology and Biotechnology, Ruhr-Universität Bochum, 44801 Bochum, Germany
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27
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Gomes da Costa S, Richter A, Schmidt U, Breuninger S, Hollricher O. Confocal Raman microscopy in life sciences. Morphologie 2018; 103:11-16. [PMID: 30579682 DOI: 10.1016/j.morpho.2018.12.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Microscopy techniques are widely used in life sciences to study cells and tissues. Fluorescence microscopy, for example, is a very common method in many laboratories. While reliable and strong fluorescence signals are a clear advantage of this method, the labelling procedure with fluorescent dyes, the availability of required antibodies or the potentially necessary genetic modifications of the studied organism all introduce potential complications. By contrast, confocal Raman microscopy is a label-free and non-destructive imaging technique. In contrast to infrared microscopy, it is easily applicable in aqueous environments. Different microscope setups and combinations allow for the examination of various solid and liquid samples, even in their typical environments. The article demonstrates the analyzing capability of confocal Raman microscopy and correlative techniques through application examples of eukaryotic and prokaryotic cells, and cancerous and normal tissues and shows how confocal Raman microscopy provides valuable information for a more comprehensive understanding of the investigated sample.
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Affiliation(s)
| | - A Richter
- WITec GmbH, Lise-Meitner-Street, 6, 89081 Ulm, Germany
| | - U Schmidt
- WITec GmbH, Lise-Meitner-Street, 6, 89081 Ulm, Germany
| | - S Breuninger
- WITec GmbH, Lise-Meitner-Street, 6, 89081 Ulm, Germany.
| | - O Hollricher
- WITec GmbH, Lise-Meitner-Street, 6, 89081 Ulm, Germany
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Hammoud MK, Yosef HK, Lechtonen T, Aljakouch K, Schuler M, Alsaidi W, Daho I, Maghnouj A, Hahn S, El-Mashtoly SF, Gerwert K. Raman micro-spectroscopy monitors acquired resistance to targeted cancer therapy at the cellular level. Sci Rep 2018; 8:15278. [PMID: 30323297 PMCID: PMC6189084 DOI: 10.1038/s41598-018-33682-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 08/16/2018] [Indexed: 12/12/2022] Open
Abstract
Monitoring the drug efficacy or resistance in vitro is usually carried out by measuring the response of single few proteins. However, observation of single proteins instead of an integral cell response may lead to results that are not consistent with patient’s response to a drug. We present a Raman spectroscopic method that detects the integral cell response to drugs such as tyrosine kinase inhibitors (TKIs). Non-small cell lung cancer (NSCLC) patients with EGFR mutations develop acquired resistance to first (erlotinib)- and third (osimertinib)-generation TKIs. Large erlotinib-induced differences were detected by Raman micro-spectroscopy in NSCLC cells without T790M EGFR mutation but not in cells with this mutation. Additionally, Raman difference spectra detected the response of NSCLC cells with T790M EGFR mutation to second- (neratinib) and third-generation (osimertinib) TKIs, and the resistance of cells with T790M/C797S EGFR mutation to osimertinib. Thus, the in vitro Raman results indicated that NSCLC cells with T790M and T790M/C797S EGFR mutations are resistant to erlotinib- and osimertinib, respectively, consistent with the observed responses of patients. This study shows the potential of Raman micro-spectroscopy to monitor drug resistance and opens a new door to in vitro companion diagnostics for screening personalized therapies.
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Affiliation(s)
- Mohamad K Hammoud
- Department of Biophysics, Ruhr-University Bochum, 44780, Bochum, Germany
| | - Hesham K Yosef
- Department of Biophysics, Ruhr-University Bochum, 44780, Bochum, Germany
| | - Tatjana Lechtonen
- Department of Biophysics, Ruhr-University Bochum, 44780, Bochum, Germany
| | - Karim Aljakouch
- Department of Biophysics, Ruhr-University Bochum, 44780, Bochum, Germany
| | - Martin Schuler
- Department of Biophysics, Ruhr-University Bochum, 44780, Bochum, Germany
| | - Wissam Alsaidi
- Department of Biophysics, Ruhr-University Bochum, 44780, Bochum, Germany
| | - Ibrahim Daho
- Department of Biophysics, Ruhr-University Bochum, 44780, Bochum, Germany
| | - Abdelouahid Maghnouj
- Department of Molecular GI-Oncology, Clinical Research Center, Ruhr-University Bochum, 44780, Bochum, Germany
| | - Stephan Hahn
- Department of Molecular GI-Oncology, Clinical Research Center, Ruhr-University Bochum, 44780, Bochum, Germany
| | | | - Klaus Gerwert
- Department of Biophysics, Ruhr-University Bochum, 44780, Bochum, Germany
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Krauß SD, Roy R, Yosef HK, Lechtonen T, El-Mashtoly SF, Gerwert K, Mosig A. Hierarchical deep convolutional neural networks combine spectral and spatial information for highly accurate Raman-microscopy-based cytopathology. JOURNAL OF BIOPHOTONICS 2018; 11:e201800022. [PMID: 29781102 DOI: 10.1002/jbio.201800022] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 05/16/2018] [Indexed: 05/14/2023]
Abstract
Hierarchical variants of so-called deep convolutional neural networks (DCNNs) have facilitated breakthrough results for numerous pattern recognition tasks in recent years. We assess the potential of these novel whole-image classifiers for Raman-microscopy-based cytopathology. Conceptually, DCNNs facilitate a flexible combination of spectral and spatial information for classifying cellular images as healthy or cancer-affected cells. As we demonstrate, this conceptual advantage translates into practice, where DCNNs exceed the accuracy of both conventional classifiers based on pixel spectra as well as classifiers based on morphological features extracted from Raman microscopic images. Remarkably, accuracies exceeding those of all previously proposed classifiers are obtained while using only a small fraction of the spectral information provided by the dataset. Overall, our results indicate a high potential for DCNNs in medical applications of not just Raman, but also infrared microscopy.
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Affiliation(s)
- Sascha D Krauß
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Raphael Roy
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Hesham K Yosef
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | | | | | - Klaus Gerwert
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Axel Mosig
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
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30
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Zhang S, Song Z, Godaliyadda GMDP, Ye DH, Chowdhury AU, Sengupta A, Buzzard GT, Bouman CA, Simpson GJ. Dynamic Sparse Sampling for Confocal Raman Microscopy. Anal Chem 2018; 90:4461-4469. [PMID: 29521493 PMCID: PMC6025898 DOI: 10.1021/acs.analchem.7b04749] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The total number of data points required for image generation in Raman microscopy was greatly reduced using sparse sampling strategies, in which the preceding set of measurements informed the next most information-rich sampling location. Using this approach, chemical images of pharmaceutical materials were obtained with >99% accuracy from 15.8% sampling, representing an ∼6-fold reduction in measurement time relative to full field of view rastering with comparable image quality. This supervised learning approach to dynamic sampling (SLADS) has the distinct advantage of being directly compatible with standard confocal Raman instrumentation. Furthermore, SLADS is not limited to Raman imaging, potentially providing time-savings in image reconstruction whenever the single-pixel measurement time is the limiting factor in image generation.
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Affiliation(s)
- Shijie Zhang
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Zhengtian Song
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - G. M. Dilshan P. Godaliyadda
- Department of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47097, United States
| | - Dong Hye Ye
- Department of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47097, United States
| | - Azhad U. Chowdhury
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Atanu Sengupta
- Dr. Reddy’s Laboratories, IPDO, Bachupally Campus, Hyderabad, Telengana 500090, India
| | - Gregery T. Buzzard
- Department of Mathematics, Purdue University, West Lafayette, Indiana 47097, United States
| | - Charles A. Bouman
- Department of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47097, United States
| | - Garth J. Simpson
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
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Yosef HK, Frick T, Hammoud MK, Maghnouj A, Hahn S, Gerwert K, El-Mashtoly SF. Exploring the efficacy and cellular uptake of sorafenib in colon cancer cells by Raman micro-spectroscopy. Analyst 2018; 143:6069-6078. [DOI: 10.1039/c8an02029a] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
This study demonstrates the efficacy and distribution of sorafenib in colon cancer cells by label-free Raman microscopy.
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Affiliation(s)
- H. K. Yosef
- Department of Biophysics
- Ruhr-University Bochum
- Germany
| | - T. Frick
- Department of Biophysics
- Ruhr-University Bochum
- Germany
| | - M. K. Hammoud
- Department of Biophysics
- Ruhr-University Bochum
- Germany
| | - A. Maghnouj
- Department of Molecular GI-Oncology
- Clinical Research Center
- Ruhr-University Bochum
- 44780 Bochum
- Germany
| | - S. Hahn
- Department of Molecular GI-Oncology
- Clinical Research Center
- Ruhr-University Bochum
- 44780 Bochum
- Germany
| | - K. Gerwert
- Department of Biophysics
- Ruhr-University Bochum
- Germany
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