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Qiu H, Wang M, Cao T, Feng Y, Zhang Y, Guo R. Low-coverage whole-genome sequencing for the effective diagnosis of early endometrial cancer: A pilot study. Heliyon 2023; 9:e19323. [PMID: 37662762 PMCID: PMC10472246 DOI: 10.1016/j.heliyon.2023.e19323] [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: 04/20/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 09/05/2023] Open
Abstract
Background Endometrial carcinoma (EC) is a disease that predominantly affects peri- and post-menopausal women and its incidence has continued to rise over recent years. Since the gold standard for EC diagnosis-hysteroscopic biopsy-is invasive, expensive, and unsuitable for wide use, there is an urgent need for a non-invasive method that exhibits both high sensitivity and high specificity. We therefore investigated the efficacy of UterCAD (the uterine exfoliated cell chromosomal aneuploidy detector) using tampon-collected specimens for the early detection of EC. Methods We prospectively recruited 51 patients with a history of abnormal bleeding and who planned to undergo hysteroscopic examination or hysterectomy between March 2020 and January 2021. Before executing an invasive procedure, a tampon was inserted into the patient's vagina for 6 h to collect exfoliated cells from the uterine cavity. Total DNA was extracted and low-coverage whole-genome sequencing was performed on an Illumina HiSeq X10, and we analyzed the differences in chromosomal status between women with EC and those bearing benign lesions using UterCAD. Results Thirty EC patients-including 26 with endometrioid carcinoma (EEC) and four with uterine serous carcinoma (USC), as well as 14 benign cases-were enrolled in our final analysis. Copy-number variations (CNVs) were detected in tampon specimens collected from 26 EC patients (83.3%), including 21 with EEC (80.7%) and four with USC (100%). In the benign group, only one woman with focal atypical hyperplasia presented with a 10q chromosomal gain (P < 0.001). In the EC group, the most common CNVs were copy gains of 8q (N = 14), 2q (N = 4), and 10q (N = 3); and copy losses of 2q (N = 3) and 17p (N = 2). When we stratified by FIGO stage, the CNV rates in stages IA, IB, and II/III were 83.3% (15/18), 85.7% (6/7), and 80.0% (4/5), respectively. At the optimal cutoff (|Z| ≥ 2.3), UterCAD discriminated 83.3% of EC cases from benign cases, with a specificity of 92.9%. Conclusions We initially reported that UterCAD could serve as a non-invasive method for the early detection of EC, especially in the rare and aggressive USC subtype. The use of UterCAD might thus avoid unnecessary invasive procedures and thereby reduce the treatment burden on patients.
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Affiliation(s)
- Haifeng Qiu
- Department of Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Provincial Medical Key Laboratory for Gynecologic Malignancies Prevention and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory for Gynecologic Malignancies Prevention and Treatment, Zhengzhou, China
- Henan Province Engineering Research Center of Fertility Preservation in Gynecologic Tumors, Zhengzhou, Henan Province, China
| | - Min Wang
- Department of Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Tingting Cao
- Department of Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yun Feng
- Department of Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ying Zhang
- Department of Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ruixia Guo
- Department of Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Provincial Medical Key Laboratory for Gynecologic Malignancies Prevention and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory for Gynecologic Malignancies Prevention and Treatment, Zhengzhou, China
- Henan Province Engineering Research Center of Fertility Preservation in Gynecologic Tumors, Zhengzhou, Henan Province, China
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A New Look into Cancer-A Review on the Contribution of Vibrational Spectroscopy on Early Diagnosis and Surgery Guidance. Cancers (Basel) 2021; 13:cancers13215336. [PMID: 34771500 PMCID: PMC8582426 DOI: 10.3390/cancers13215336] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/14/2021] [Accepted: 10/18/2021] [Indexed: 02/05/2023] Open
Abstract
Simple Summary Cancer is a leading cause of death worldwide, with the detection of the disease in its early stages, as well as a correct assessment of the tumour margins, being paramount for a successful recovery. While breast cancer is one of most common types of cancer, head and neck cancer is one of the types of cancer with a lower prognosis and poor aesthetic results. Vibrational spectroscopy detects molecular vibrations, being sensitive to different sample compositions, even when the difference was slight. The use of spectroscopy in biomedicine has been extensively explored, since it allows a broader assessment of the biochemical fingerprint of several diseases. This literature review covers the most recent advances in breast and head and neck cancer early diagnosis and intraoperative margin assessment, through Raman and Fourier transform infrared spectroscopies. The rising field of spectral histopathology was also approached. The authors aimed at expounding in a more concise and simple way the challenges faced by clinicians and how vibrational spectroscopy has evolved to respond to those needs for the two types of cancer with the highest potential for improvement regarding an early diagnosis, surgical margin assessment and histopathology. Abstract In 2020, approximately 10 million people died of cancer, rendering this disease the second leading cause of death worldwide. Detecting cancer in its early stages is paramount for patients’ prognosis and survival. Hence, the scientific and medical communities are engaged in improving both therapeutic strategies and diagnostic methodologies, beyond prevention. Optical vibrational spectroscopy has been shown to be an ideal diagnostic method for early cancer diagnosis and surgical margins assessment, as a complement to histopathological analysis. Being highly sensitive, non-invasive and capable of real-time molecular imaging, Raman and Fourier transform infrared (FTIR) spectroscopies give information on the biochemical profile of the tissue under analysis, detecting the metabolic differences between healthy and cancerous portions of the same sample. This constitutes tremendous progress in the field, since the cancer-prompted morphological alterations often occur after the biochemical imbalances in the oncogenic process. Therefore, the early cancer-associated metabolic changes are unnoticed by the histopathologist. Additionally, Raman and FTIR spectroscopies significantly reduce the subjectivity linked to cancer diagnosis. This review focuses on breast and head and neck cancers, their clinical needs and the progress made to date using vibrational spectroscopy as a diagnostic technique prior to surgical intervention and intraoperative margin assessment.
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3
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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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4
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Colin-Pierre C, Untereiner V, Sockalingum GD, Berthélémy N, Danoux L, Bardey V, Mine S, Jeanmaire C, Ramont L, Brézillon S. Hair Histology and Glycosaminoglycans Distribution Probed by Infrared Spectral Imaging: Focus on Heparan Sulfate Proteoglycan and Glypican-1 during Hair Growth Cycle. Biomolecules 2021; 11:biom11020192. [PMID: 33573119 PMCID: PMC7912031 DOI: 10.3390/biom11020192] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 01/22/2021] [Accepted: 01/22/2021] [Indexed: 01/30/2023] Open
Abstract
The expression of glypicans in different hair follicle (HF) compartments and their potential roles during hair shaft growth are still poorly understood. Heparan sulfate proteoglycan (HSPG) distribution in HFs is classically investigated by conventional histology, biochemical analysis, and immunohistochemistry. In this report, a novel approach is proposed to assess hair histology and HSPG distribution changes in HFs at different phases of the hair growth cycle using infrared spectral imaging (IRSI). The distribution of HSPGs in HFs was probed by IRSI using the absorption region relevant to sulfation as a spectral marker. The findings were supported by Western immunoblotting and immunohistochemistry assays focusing on the glypican-1 expression and distribution in HFs. This study demonstrates the capacity of IRSI to identify the different HF tissue structures and to highlight protein, proteoglycan (PG), glycosaminoglycan (GAG), and sulfated GAG distribution in these structures. The comparison between anagen, catagen, and telogen phases shows the qualitative and/or quantitative evolution of GAGs as supported by Western immunoblotting. Thus, IRSI can simultaneously reveal the location of proteins, PGs, GAGs, and sulfated GAGs in HFs in a reagent- and label-free manner. From a dermatological point of view, IRSI shows its potential as a promising technique to study alopecia.
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Affiliation(s)
- Charlie Colin-Pierre
- Université de Reims Champagne-Ardenne, Laboratoire de Biochimie Médicale et Biologie Moléculaire, 51097 Reims, France; (C.C.-P.); (L.R.)
- CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire-MEDyC, 51097 Reims, France
- BASF Beauty Care Solutions France SAS, 54425 Pulnoy, France; (N.B.); (L.D.); (V.B.); (S.M.); (C.J.)
| | | | - Ganesh D. Sockalingum
- Université de Reims Champagne-Ardenne, BioSpecT EA7506, UFR de Pharmacie, 51097 Reims, France;
| | - Nicolas Berthélémy
- BASF Beauty Care Solutions France SAS, 54425 Pulnoy, France; (N.B.); (L.D.); (V.B.); (S.M.); (C.J.)
| | - Louis Danoux
- BASF Beauty Care Solutions France SAS, 54425 Pulnoy, France; (N.B.); (L.D.); (V.B.); (S.M.); (C.J.)
| | - Vincent Bardey
- BASF Beauty Care Solutions France SAS, 54425 Pulnoy, France; (N.B.); (L.D.); (V.B.); (S.M.); (C.J.)
| | - Solène Mine
- BASF Beauty Care Solutions France SAS, 54425 Pulnoy, France; (N.B.); (L.D.); (V.B.); (S.M.); (C.J.)
| | - Christine Jeanmaire
- BASF Beauty Care Solutions France SAS, 54425 Pulnoy, France; (N.B.); (L.D.); (V.B.); (S.M.); (C.J.)
| | - Laurent Ramont
- Université de Reims Champagne-Ardenne, Laboratoire de Biochimie Médicale et Biologie Moléculaire, 51097 Reims, France; (C.C.-P.); (L.R.)
- CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire-MEDyC, 51097 Reims, France
- CHU de Reims, Service Biochimie-Pharmacologie-Toxicologie, 51097 Reims, France
| | - Stéphane Brézillon
- Université de Reims Champagne-Ardenne, Laboratoire de Biochimie Médicale et Biologie Moléculaire, 51097 Reims, France; (C.C.-P.); (L.R.)
- CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire-MEDyC, 51097 Reims, France
- Correspondence:
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Fourier Transform Infrared Spectroscopy in Oral Cancer Diagnosis. Int J Mol Sci 2021; 22:ijms22031206. [PMID: 33530491 PMCID: PMC7865696 DOI: 10.3390/ijms22031206] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/19/2021] [Accepted: 01/21/2021] [Indexed: 12/13/2022] Open
Abstract
Oral cancer is one of the most common cancers worldwide. Despite easy access to the oral cavity and significant advances in treatment, the morbidity and mortality rates for oral cancer patients are still very high, mainly due to late-stage diagnosis when treatment is less successful. Oral cancer has also been found to be the most expensive cancer to treat in the United States. Early diagnosis of oral cancer can significantly improve patient survival rate and reduce medical costs. There is an urgent unmet need for an accurate and sensitive molecular-based diagnostic tool for early oral cancer detection. Fourier transform infrared spectroscopy has gained increasing attention in cancer research due to its ability to elucidate qualitative and quantitative information of biochemical content and molecular-level structural changes in complex biological systems. The diagnosis of a disease is based on biochemical changes underlying the disease pathology rather than morphological changes of the tissue. It is a versatile method that can work with tissues, cells, or body fluids. In this review article, we aim to summarize the studies of infrared spectroscopy in oral cancer research and detection. It provides early evidence to support the potential application of infrared spectroscopy as a diagnostic tool for oral potentially malignant and malignant lesions. The challenges and opportunities in clinical translation are also discussed.
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6
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Zancla A, De Santis S, Sotgiu G, Taffon C, Crescenzi A, Orsini M. Micro-FTIR spectroscopy as robust tool for psammoma bodies detection in papillary thyroid carcinoma. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 229:117984. [PMID: 31887679 DOI: 10.1016/j.saa.2019.117984] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 12/19/2019] [Accepted: 12/20/2019] [Indexed: 06/10/2023]
Abstract
The presence of psammoma bodies (PBs), concentric lamellated calcified structures, in thyroid tissues is considered a reliable diagnostic marker for Papillary thyroid carcinoma (PTC) and has been correlated to aggressive tumour behaviours such as multifocality and lymph node metastasis. Fourier transform infrared (FTIR) microspectroscopy already proved to be a powerful tool for biological tissues study thanks to its ability to spatially resolve information on the chemical composition of the analysed samples. FTIR maps were collected from thyroid tumour resections and analysed by multivariate unsupervised Principal Component Analysis (PCA) and Clustering (K-means and fuzzy c-means clustering) techniques. The resulting spectral images were compared to the corresponding hematoxylin-eosin stained tissue section which provided histopathological validation. The 850-1100 cm-1 spectral range was the most reliable for detection of PBs and the characteristic bands of carboapatite, present in this region, were correctly identified by the multivariate techniques. These findings disclose the possibility to use a combination of FTIR microspectroscopy and multivariate spectral processing as objective and robust tools for automated PBs recognition and consequently for PTC early diagnosis.
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Affiliation(s)
- Andrea Zancla
- Department of Engineering, Roma Tre University, via Vito Volterra 62, Roma, Italy
| | - Serena De Santis
- Department of Engineering, Roma Tre University, via Vito Volterra 62, Roma, Italy
| | - Giovanni Sotgiu
- Department of Engineering, Roma Tre University, via Vito Volterra 62, Roma, Italy
| | - Chiara Taffon
- Pathology Unit, University Hospital Campus Bio-Medico, Rome, Italy
| | - Anna Crescenzi
- Pathology Unit, University Hospital Campus Bio-Medico, Rome, Italy
| | - Monica Orsini
- Department of Engineering, Roma Tre University, via Vito Volterra 62, Roma, Italy.
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7
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Nallala J, Jeynes C, Saunders S, Smart N, Lloyd G, Riley L, Salmon D, Stone N. Characterization of colorectal mucus using infrared spectroscopy: a potential target for bowel cancer screening and diagnosis. J Transl Med 2020; 100:1102-1110. [PMID: 32203151 PMCID: PMC7374084 DOI: 10.1038/s41374-020-0418-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 03/10/2020] [Accepted: 03/10/2020] [Indexed: 12/27/2022] Open
Abstract
Biological materials presenting early signs of cancer would be beneficial for cancer screening/diagnosis. In this respect, the suitability of potentially exploiting mucus in colorectal cancer was tested using infrared spectroscopy in combination with statistical modeling. Twenty-six paraffinized colon tissue biopsy sections containing mucus regions from 20 individuals (10 normal and 16 cancerous) were measured using mid-infrared spectroscopic imaging. A digital de-paraffinization, followed by cluster analysis driven digital color-coded multi-staining segmented the infrared images into various histopathological features such as epithelium, connective tissue, stroma, and mucus regions within the tissue sections. Principal component analysis followed by supervised linear discriminant analysis was carried out on pure mucus and epithelial spectra from normal and cancerous regions of the tissue. For the mucus-based classification, a sensitivity of 96%, a specificity of 83%, and an area under the curve performance of 95% was obtained. For the epithelial tissue-based classification, a sensitivity of 72%, a specificity of 88%, and an area under the curve performance of 89% was obtained. The mucus spectral profiles further showed contributions indicative of glycans including that of sialic acid changes between these pathology groups. The study demonstrates that infrared spectroscopic analysis of mucus discriminates colorectal cancers with high sensitivity. This concept could be exploited to develop screening/diagnostic approaches complementary to histopathology.
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Affiliation(s)
- Jayakrupakar Nallala
- Biomedical Physics, School of Physics and Astronomy, University of Exeter, Exeter, EX4 4QL, UK.
| | - Charles Jeynes
- 0000 0004 1936 8024grid.8391.3Living Systems Institute, University of Exeter, Exeter, EX4 4QD UK
| | - Sarah Saunders
- grid.416118.bCellular Pathology Department, Royal Devon & Exeter Hospital, Exeter, EX2 5AD UK
| | - Neil Smart
- grid.416118.bDepartment of Surgery, Royal Devon and Exeter Hospital, Exeter, EX2 5DW UK
| | - Gavin Lloyd
- 0000 0004 1936 7486grid.6572.6Phenome Centre Birmingham, University of Birmingham, Birmingham, B15 2TT UK
| | - Leah Riley
- grid.416118.bCellular Pathology Department, Royal Devon & Exeter Hospital, Exeter, EX2 5AD UK
| | - Debbie Salmon
- 0000 0004 1936 8024grid.8391.3Biocatalysis Centre, Biosciences, University of Exeter, Exeter, EX4 4QD UK
| | - Nick Stone
- 0000 0004 1936 8024grid.8391.3Biomedical Physics, School of Physics and Astronomy, University of Exeter, Exeter, EX4 4QL UK
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8
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Peñaranda F, Naranjo V, Lloyd GR, Kastl L, Kemper B, Schnekenburger J, Nallala J, Stone N. Discrimination of skin cancer cells using Fourier transform infrared spectroscopy. Comput Biol Med 2018; 100:50-61. [DOI: 10.1016/j.compbiomed.2018.06.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 06/22/2018] [Accepted: 06/23/2018] [Indexed: 12/17/2022]
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Diem M, Ergin A, Remiszewski S, Mu X, Akalin A, Raz D. Infrared micro-spectroscopy of human tissue: principles and future promises. Faraday Discuss 2018; 187:9-42. [PMID: 27075634 DOI: 10.1039/c6fd00023a] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
This article summarizes the methods employed, and the progress achieved over the past two decades in applying vibrational (Raman and IR) micro-spectroscopy to problems of medical diagnostics and cellular biology. During this time, several research groups have verified the enormous information contained in vibrational spectra; in fact, information on protein, lipid and metabolic composition of cells and tissues can be deduced by decoding the observed vibrational spectra. This decoding process is aided by the availability of computer workstations and advanced algorithms for data analysis. Furthermore, commercial instrumentation for the fast collection of both Raman and infrared micro-spectral data has enabled the collection of images of cells and tissues based solely on vibrational spectroscopic data. The progress in the field has been manifested by a steady increase in the number and quality of publications submitted by established and new research groups in vibrational spectroscopy in the biological and biomedical arenas.
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Affiliation(s)
- Max Diem
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, 316 Hurtig Hall, 360 Huntington Ave, Boston, MA, USA. and Cireca Theranostics, LLC, 19 Blackstone St, Cambridge, MA, USA
| | - Ayşegül Ergin
- Cireca Theranostics, LLC, 19 Blackstone St, Cambridge, MA, USA
| | | | - Xinying Mu
- Cireca Theranostics, LLC, 19 Blackstone St, Cambridge, MA, USA and Department of Mathematics and Statistics and Program in Bioinformatics, Boston University, Boston, MA, USA
| | - Ali Akalin
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Dan Raz
- Division of Thoracic Surgery, City of Hope Medical Center, Duarte, CA, USA
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Wrobel TP, Bhargava R. Infrared Spectroscopic Imaging Advances as an Analytical Technology for Biomedical Sciences. Anal Chem 2018; 90:1444-1463. [PMID: 29281255 PMCID: PMC6421863 DOI: 10.1021/acs.analchem.7b05330] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Tomasz P. Wrobel
- Beckman Institute for Advanced Science and Technology, Urbana, Illinois 61801, United States
| | - Rohit Bhargava
- Beckman Institute for Advanced Science and Technology, Urbana, Illinois 61801, United States
- Departments of Bioengineering, Electrical and Computer Engineering, Mechanical Science and Engineering, Chemical and Biomolecular Engineering, and Chemistry, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States
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11
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Old O, Lloyd G, Isabelle M, Almond LM, Kendall C, Baxter K, Shepherd N, Shore A, Stone N, Barr H. Automated cytological detection of Barrett's neoplasia with infrared spectroscopy. J Gastroenterol 2018; 53:227-235. [PMID: 28501919 DOI: 10.1007/s00535-017-1344-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 04/17/2017] [Indexed: 02/04/2023]
Abstract
BACKGROUND Development of a nonendoscopic test for Barrett's esophagus would revolutionize population screening and surveillance for patients with Barrett's esophagus. Swallowed cell collection devices have recently been developed to obtain cytology brushings from the esophagus: automated detection of neoplasia in such samples would enable large-scale screening and surveillance. METHODS Fourier transform infrared (FTIR) spectroscopy was used to develop an automated tool for detection of Barrett's esophagus and Barrett's neoplasia in esophageal cell samples. Cytology brushings were collected at endoscopy, cytospun onto slides and FTIR images were measured. An automated cell recognition program was developed to identify individual cells on the slide. RESULTS Cytology review and contemporaneous histology was used to inform a training dataset containing 141 cells from 17 patients. A classification model was constructed by principal component analysis fed linear discriminant analysis, then tested by leave-one-sample-out cross validation. With application of this training model to whole slide samples, a threshold voting system was used to classify samples according to their constituent cells. Across the entire dataset of 115 FTIR maps from 66 patients, whole samples were classified with sensitivity and specificity respectively as follows: normal squamous cells 79.0% and 81.1%, nondysplastic Barrett's esophagus cells 31.3% and 100%, and neoplastic Barrett's esophagus cells 83.3% and 62.7%. CONCLUSIONS Analysis of esophageal cell samples can be performed with FTIR spectroscopy with reasonable sensitivity for Barrett's neoplasia, but with poor specificity with the current technique.
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Affiliation(s)
- Oliver Old
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester, GL1 3NN, UK. .,University of Exeter Medical School, Royal Devon and Exeter NHS Foundation Trust, Exeter, EX2 5DW, UK.
| | - Gavin Lloyd
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester, GL1 3NN, UK.,School of Physics and Astronomy, University of Exeter, Exeter, EX4 4QL, UK
| | - Martin Isabelle
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester, GL1 3NN, UK
| | - L Max Almond
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester, GL1 3NN, UK.,Heartlands Hospital, Bordesley Green East, Birmingham, B9 5SS, UK
| | - Catherine Kendall
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester, GL1 3NN, UK.,School of Physics and Astronomy, University of Exeter, Exeter, EX4 4QL, UK
| | - Karol Baxter
- Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester, GL1 3NN, UK
| | - Neil Shepherd
- Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester, GL1 3NN, UK
| | - Angela Shore
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Royal Devon and Exeter NHS Foundation Trust, Exeter, EX2 5DW, UK
| | - Nick Stone
- School of Physics and Astronomy, University of Exeter, Exeter, EX4 4QL, UK
| | - Hugh Barr
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester, GL1 3NN, UK.,Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester, GL1 3NN, UK
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12
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Diem M, Miljković M, Bird B, Mazur AI, Schubert JM, Townsend D, Laver N, Almond M, Old O. Cancer screening via infrared spectral cytopathology (SCP): results for the upper respiratory and digestive tracts. Analyst 2017; 141:416-28. [PMID: 26421636 DOI: 10.1039/c5an01751c] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Instrumental advances in infrared micro-spectroscopy have made possible the observation of individual human cells and even subcellular structures. The observed spectra represent a snapshot of the biochemical composition of a cell; this composition varies subtly but reproducibly with cellular effects such as progression through the cell cycle, cell maturation and differentiation, and disease. The aim of this summary is to provide a synopsis of the progress achieved in infrared spectral cytopathology (SCP) - the combination of infrared micro-spectroscopy and multivariate methods of analysis - for the detection of abnormalities in exfoliated human cells of the upper respiratory and digestive tract, namely the oral and nasopharyngeal cavities, and the esophagus.
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Affiliation(s)
- Max Diem
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA and Cireca Theranostics, LLC, 19 Blackstone St, Cambridge, MA 02139, USA.
| | - Miloš Miljković
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA
| | - Benjamin Bird
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA
| | - Antonella I Mazur
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA
| | - Jen M Schubert
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA
| | - Douglas Townsend
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA
| | - Nora Laver
- Department of Pathology, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - Max Almond
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester, UK
| | - Oliver Old
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester, UK
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Hughes C, Baker MJ. Can mid-infrared biomedical spectroscopy of cells, fluids and tissue aid improvements in cancer survival? A patient paradigm. Analyst 2017; 141:467-75. [PMID: 26501136 DOI: 10.1039/c5an01858g] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
This review will take a fresh approach from the patient perspective; offering insight into the applications of mid-infrared biomedical spectroscopy in a scenario whereby the patient presents with non-specific symptoms and via an extensive diagnostic process multiple lesions are discovered but no clear sign of the primary tumour; a condition known as cancer of unknown primary (CUP). With very limited options to diagnose the cancer origin, treatment options are likely to be ineffective and prognosis is consequentially very poor. CUP has not yet been targeted by infrared biospectroscopy, however, this timely, concise dissemination will focus on a series of research highlights and breakthroughs from the field for the management of a variety of cancer-related diseases - many examples of which have occurred within this year alone. The case for integration of mid-infrared (MIR) technology into clinical practice will be demonstrated largely via diagnostic, but also therapeutic and prognostic avenues by means of including cytological, bio-fluid and tissue analysis. The review is structured around CUP but is relevant for all cancer diagnoses. Infrared spectroscopy is fast developing a reputation as a valid and powerful tool for the detection and diagnosis of cancer using a variety of sample formats. The technology will produce data and tools that are designed to complement routine clinical practice; enhancing the ability of the clinician to make a reliable and non-subjective decision and enabling decreased levels of mortality and morbidity and gains in patient quality of life.
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Affiliation(s)
- Caryn Hughes
- School of Chemical Engineering & Analytical Sciences, Faculty of Engineering & Physical Science, University of Manchester, Brunswick Street, Manchester, M13 9PL, UK. and WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK.
| | - Matthew J Baker
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK.
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