1
|
Shree P, Aggarwal Y, Kumar M, Majhee L, Singh NN, Prakash O, Chandra A, Mahuli SA, Shamsi S, Rai A. Saliva Based Diagnostic Prediction of Oral Squamous Cell Carcinoma using FTIR Spectroscopy. Indian J Otolaryngol Head Neck Surg 2024; 76:2282-2289. [PMID: 38883442 PMCID: PMC11169329 DOI: 10.1007/s12070-023-04294-z] [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: 10/07/2023] [Accepted: 10/14/2023] [Indexed: 06/18/2024] Open
Abstract
Oral cancer ranks as the sixth most prevalent form of cancer worldwide, presenting a significant public health concern. According to the World Health Organization (WHO), within a 5-year period following diagnosis, the mortality rate among oral cancer patients of all stages stands at 45%. In this study, a total of 60 patients divided into 2 groups were recruited. Group A included 30 histo-pathologically confirmed OSCC patients and Group B included 30 healthy controls. A standardized procedure was followed to collect saliva samples. FTIR spectroscopy was done for all the saliva samples collected from both Group A and B. An IR Prestige-21 (Shimadzu Corp, Japan) spectrometer was used to record IR spectra in the 40-4000 cm-1 range SVM classifier was applied in the classification of disease state from normal subjects using FTIR data. The peaks were identified at wave no 1180 cm-1, 1230 cm-1, 1340 cm-1, 1360 cm-1, 1420 cm-1, 1460 cm-1, 1500 cm-1, 1540 cm-1, 1560 cm-1, and 1637 cm-1. The observed results of SVM demonstrated the accuracy of 91.66% in the classification of Cancer tissues from the normal subjects with sensitivity of 83.33% while specificity and precision of 100.0%. The development of oral cancer leads to noticeable alterations in the secondary structure of proteins. These findings emphasize the promising use of ATR-FTIR platforms in conjunction with machine learning as a reliable, non-invasive, reagent-free, and highly sensitive method for screening and monitoring individuals with oral cancer.
Collapse
Affiliation(s)
- Priya Shree
- Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, Jharkhand 834009 India
| | - Yogendra Aggarwal
- Department of Bioengineering and Biotechnology, Birla Institute of Technology Mesra, Ranchi, India
| | - Manish Kumar
- Department of Bioengineering, Birla Institute of Technology, Mesra, Ranchi, 835215 India
| | - Lakhan Majhee
- Department of Pharmacology, Rajendra Institute of Medical Sciences, Ranchi, India
| | - Narendra Nath Singh
- Oral Pathology, Microbiology and Forensic Odontology, Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India
| | - Om Prakash
- Oral and Maxillofacial Pathology, Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India
| | - Akhilesh Chandra
- Department of Oral Pathology and Microbiology, Faculty of Dental Sciences, Banaras Hindu University, Varanasi, India
| | - Simpy Amit Mahuli
- Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India
| | - Shoa Shamsi
- Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India
| | - Arpita Rai
- Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, Jharkhand 834009 India
| |
Collapse
|
2
|
da Silva Queiroz JP, Pupin B, Bhattacharjee TT, Uno M, Chammas R, Vamondes Kulcsar MA, de Azevedo Canevari R. Expression data of FOS and JUN genes and FTIR spectra provide diagnosis of thyroid carcinoma. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 304:123305. [PMID: 37660502 DOI: 10.1016/j.saa.2023.123305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/11/2023] [Accepted: 08/26/2023] [Indexed: 09/05/2023]
Abstract
We explore the feasibility of using FOS and JUN gene expression and ATR-FTIR for diagnosis of thyroid cancer. For the study, 38 samples (6 non-neoplastic (NN), 10 papillary thyroid carcinoma (PTC), 7 follicular thyroid carcinoma (FTC), and 15 benign tumors (BT) were subjected to RNA extraction followed by quantitative real time PCR (qRT-PCR) and 30 samples (5 NN, 9 PTC, 5 FTC, and 11 BT) were used for Attenuated Total Reflectance - Fourier Transform Infrared (ATR-FTIR) followed by multivariate analysis. Of the above, 20 samples were used for both gene expression and ATR-FTIR studies. We found FOS and JUN expression in malignant tumor samples to be significantly lower than NN and benign. ATR-FIR after multivariate analysis could identify the difficult to diagnose FTC with 93 % efficiency. Overall, results suggest the diagnostic potential of molecular biology techniques combined with ATR-FTIR spectroscopy in differentiated thyroid carcinomas (PTC and FTC) and BT.
Collapse
Affiliation(s)
- João Paulo da Silva Queiroz
- Laboratório de Biologia Molecular do Câncer, Universidade do Vale do Paraíba, UNIVAP, Instituto de Pesquisa e Desenvolvimento, Avenida Shishima Hifumi 2911, Urbanova, São José dos Campos, 12244-000 São Paulo, SP, Brazil
| | - Breno Pupin
- Laboratório de Biologia Molecular do Câncer, Universidade do Vale do Paraíba, UNIVAP, Instituto de Pesquisa e Desenvolvimento, Avenida Shishima Hifumi 2911, Urbanova, São José dos Campos, 12244-000 São Paulo, SP, Brazil
| | | | - Miyuki Uno
- Centro de Investigação Translacional em Oncologia, Departamento de Radiologia e Oncologia, Instituto do Cancer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo (FMUSP), Avenida Dr. Arnaldo 251, Cerqueira César, São Paulo 01246-000, São Paulo, Brazil
| | - Roger Chammas
- Centro de Investigação Translacional em Oncologia, Departamento de Radiologia e Oncologia, Instituto do Cancer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo (FMUSP), Avenida Dr. Arnaldo 251, Cerqueira César, São Paulo 01246-000, São Paulo, Brazil
| | - Marco Aurélio Vamondes Kulcsar
- Serviço de Cirurgia de cabeça e Pescoço, Instituto do Câncer do Estado de São Paulo - ICESP, Av. Doutor Arnaldo, 251, Cerqueira César, CEP 01246-000 São Paulo, SP, Brazil
| | - Renata de Azevedo Canevari
- Laboratório de Biologia Molecular do Câncer, Universidade do Vale do Paraíba, UNIVAP, Instituto de Pesquisa e Desenvolvimento, Avenida Shishima Hifumi 2911, Urbanova, São José dos Campos, 12244-000 São Paulo, SP, Brazil.
| |
Collapse
|
3
|
Papadoliopoulou M, Matiatou M, Koutsoumpos S, Mulita F, Giannios P, Margaris I, Moutzouris K, Arkadopoulos N, Michalopoulos NV. Optical Imaging in Human Lymph Node Specimens for Detecting Breast Cancer Metastases: A Review. Cancers (Basel) 2023; 15:5438. [PMID: 38001697 PMCID: PMC10670418 DOI: 10.3390/cancers15225438] [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: 10/13/2023] [Revised: 11/06/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
Assessment of regional lymph node status in breast cancer is of important staging and prognostic value. Even though formal histological examination is the currently accepted standard of care, optical imaging techniques have shown promising results in disease diagnosis. In the present article, we review six spectroscopic techniques and focus on their use as alternative tools for breast cancer lymph node assessment. Elastic scattering spectroscopy (ESS) seems to offer a simple, cost-effective, and reproducible method for intraoperative diagnosis of breast cancer lymph node metastasis. Optical coherence tomography (OCT) provides high-resolution tissue scanning, along with a short data acquisition time. However, it is relatively costly and experimentally complex. Raman spectroscopy proves to be a highly accurate method for the identification of malignant axillary lymph nodes, and it has been further validated in the setting of head and neck cancers. Still, it remains time-consuming. Near-infrared fluorescence imaging (NIRF) and diffuse reflectance spectroscopy (DFS) are related to significant advantages, such as deep tissue penetration and efficiency. Fourier-transform infrared spectroscopy (FTIR) is a promising method but has significant drawbacks. Nonetheless, only anecdotal reports exist on their clinical use for cancerous lymph node detection. Our results indicate that optical imaging methods can create informative and rapid tools to effectively guide surgical decision-making.
Collapse
Affiliation(s)
- Maria Papadoliopoulou
- 4th Department of Surgery, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, 1 Rimini Street, 12462 Athens, Greece (N.V.M.)
| | - Maria Matiatou
- Laboratory of Electronic Devices and Materials, Department of Electrical & Electronic Engineering, University of West Attica, 12244 Egaleo, Greece
| | - Spyridon Koutsoumpos
- Laboratory of Electronic Devices and Materials, Department of Electrical & Electronic Engineering, University of West Attica, 12244 Egaleo, Greece
| | - Francesk Mulita
- Department of Surgery, General University Hospital of Patras, 26504 Rio, Greece
| | - Panagiotis Giannios
- Barcelona Institute of Science and Technology, Institute for Research in Biomedicine, IRB Barcelona, 08028 Barcelona, Spain
| | - Ioannis Margaris
- 4th Department of Surgery, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, 1 Rimini Street, 12462 Athens, Greece (N.V.M.)
| | - Konstantinos Moutzouris
- Laboratory of Electronic Devices and Materials, Department of Electrical & Electronic Engineering, University of West Attica, 12244 Egaleo, Greece
| | - Nikolaos Arkadopoulos
- 4th Department of Surgery, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, 1 Rimini Street, 12462 Athens, Greece (N.V.M.)
| | - Nikolaos V. Michalopoulos
- 4th Department of Surgery, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, 1 Rimini Street, 12462 Athens, Greece (N.V.M.)
- 1st Propaedeutic Department of Surgery, Hippocration General Hospital, Medical School, National and Kapodistrian University of Athens, 114 Vasilissis Sofias Avenue, 11527 Athens, Greece
| |
Collapse
|
4
|
Dong L, Duan X, Bin L, Wang J, Gao Q, Sun X, Xu Y. Evaluation of Fourier transform infrared (FTIR) spectroscopy with multivariate analysis as a novel diagnostic tool for lymph node metastasis in gastric cancer. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 289:122209. [PMID: 36512961 DOI: 10.1016/j.saa.2022.122209] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 11/16/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
Fourier transform infrared (FTIR) spectroscopy is a vibration spectroscopy that uses infrared radiation to vibrate to absorb the molecular bonds in its absorbed sample. The main purpose of this study was to evaluate FTIR spectroscopy as a novel diagnostic tool for lymph node metastasis (LNM) of gastric cancer. We collected 160 fresh non-metastatic and metastatic lymph nodes (80 each) from 60 patients with gastric cancer for spectral analysis. FTIR spectra of lymph node (LN) samples were obtained in the wavenumber range of 4000 cm-1 to 900 cm-1. We calculated the changes in the ratio of spectral intensity (/ I1460). Principal component analysis (PCA) and Fisher's discriminant analysis (FDA) were used to distinguish malignant from normal LN. Four significant bands at 1080 cm-1, 1640 cm-1, 1740 cm-1 and 3260 cm-1 separated metastatic and non-metastatic LN spectra into two distinct groups by PCA.T-tests showed that, along with the relative intensity ratios (I1080/I1460, I1640/I1460, I3260/I1460, I1740/I1460), these band ratios were also able to differentiate between malignant and benign LN spectra. Six parameters (P1080 cm-1, P1300 cm-1, I1080/I1460, I1640/I1460, I3260/I1460, I1740/I1460) were selected as independent factors to set up discriminant functions. The sensitivity of FTIR spectroscopy in diagnosing LNM was 95 % by discriminant analysis. Our study suggested that FTIR spectroscopy can be a useful tool to examine LNM with high sensitivity and specificity for LNM diagnosis. Therefore it can be used in clinical practice as a non-invasive method.
Collapse
Affiliation(s)
- Liu Dong
- Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Xianglong Duan
- Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Liu Bin
- Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Jianhua Wang
- Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Qiuying Gao
- Department of Haematology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China.
| | - Xuejun Sun
- Department of General Surgery, The First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.
| | - Yizhuang Xu
- College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| |
Collapse
|
5
|
Hamouda RA, El‑Naggar NE, Abou-El-Souod GW. Simultaneous bioremediation of Disperse orange-2RL Azo dye and fatty acids production by Scenedesmus obliquus cultured under mixotrophic and heterotrophic conditions. Sci Rep 2022; 12:20768. [PMID: 36456621 PMCID: PMC9715539 DOI: 10.1038/s41598-022-22825-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 10/19/2022] [Indexed: 12/03/2022] Open
Abstract
Several types of green photosynthetic microalgae can grow through the process of heterotrophic growth in the dark with the help of a carbon source instead of the usual light energy. Heterotrophic growth overcomes important limitations in the production of valuable products from microalgae, such as the reliance on light, which complicates the process, raises costs, and lowers the yield of potentially useful products. The present study was conducted to explore the potential growth of green microalga Scenedesmus obliquus under mixotrophic and heterotrophic conditions utilizing Disperse orange 2RL Azo dye as a carbon source to produce a high lipid content and the maximum dye removal percentage. After 7 days of algal growth with dye under mixotrophic and heterotrophic conditions with varying pH levels (5, 7, 9, and 11), KNO3 concentrations (1, 1.5, 2, and 3 g/L), and dye concentrations (20, 40, and 60 ppm); dye removal percentage, algal dry weight, and lipid content were determined. The results showed that the highest decolorization of Disperse orange 2RL Azo dye (98.14%) was attained by S. obliquus in heterotrophic medium supplemented with glucose at the optimal pH 11 when the nitrogen concentration was 1 g/L and the dye concentration was 20 ppm. FT-IR spectroscopy of the dye revealed differences in peaks position and intensity before and after algal treatment. S. obliquus has a high concentration of oleic acid, which is enhanced when it is grown with Disperse orange 2RL Azo dye, making it ideal for production of high-quality biodiesel. In general, and in the vast majority of instances, heterotrophic cultivation is substantially less expensive, easier to set up, and requires less maintenance than mixotrophic cultivation. Heterotrophic cultivation allows for large-scale applications such as separate or mixed wastewater treatment along with biofuel production.
Collapse
Affiliation(s)
- Ragaa A. Hamouda
- grid.449877.10000 0004 4652 351XDepartment of Microbial Biotechnology, Genetic Engineering and Biotechnology Research Institute (GEBRI), University of Sadat City, Sadat City, Egypt ,grid.460099.2Department of Biology, Faculty of Sciences and Arts Khulais, University of Jeddah, Jeddah, Saudi Arabia
| | - Noura El‑Ahmady El‑Naggar
- grid.420020.40000 0004 0483 2576Department of Bioprocess Development, Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications (SRTA-City), New Borg El‑Arab City, 21934 Alexandria Egypt
| | - Ghada W. Abou-El-Souod
- grid.411775.10000 0004 0621 4712Department of Botany and microbiology, Faculty of Science, Menoufia University, Shibin Al Kawm, Menoufia Egypt
| |
Collapse
|
6
|
Neto V, Esteves-Ferreira S, Inácio I, Alves M, Dantas R, Almeida I, Guimarães J, Azevedo T, Nunes A. Metabolic Profile Characterization of Different Thyroid Nodules Using FTIR Spectroscopy: A Review. Metabolites 2022; 12:53. [PMID: 35050174 PMCID: PMC8777789 DOI: 10.3390/metabo12010053] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 12/22/2021] [Accepted: 01/05/2022] [Indexed: 12/14/2022] Open
Abstract
Thyroid cancer's incidence has increased in the last decades, and its diagnosis can be a challenge. Further and complementary testing based in biochemical alterations may be important to correctly identify thyroid cancer and prevent unnecessary surgery. Fourier-transform infrared (FTIR) spectroscopy is a metabolomic technique that has already shown promising results in cancer metabolome analysis of neoplastic thyroid tissue, in the identification and classification of prostate tumor tissues and of breast carcinoma, among others. This work aims to gather and discuss published information on the ability of FTIR spectroscopy to be used in metabolomic studies of the thyroid, including discriminating between benign and malignant thyroid samples and grading and classifying different types of thyroid tumors.
Collapse
Affiliation(s)
- Vanessa Neto
- Department of Medical Sciences, iBiMED—Institute of Biomedicine, University of Aveiro, 3810-193 Aveiro, Portugal; (V.N.); (I.A.)
| | - Sara Esteves-Ferreira
- Centro Hospitalar do Baixo Vouga, CHBV—Endocrinology Department, 3810-164 Aveiro, Portugal; (S.E.-F.); (I.I.); (M.A.); (R.D.); (J.G.); (T.A.)
| | - Isabel Inácio
- Centro Hospitalar do Baixo Vouga, CHBV—Endocrinology Department, 3810-164 Aveiro, Portugal; (S.E.-F.); (I.I.); (M.A.); (R.D.); (J.G.); (T.A.)
| | - Márcia Alves
- Centro Hospitalar do Baixo Vouga, CHBV—Endocrinology Department, 3810-164 Aveiro, Portugal; (S.E.-F.); (I.I.); (M.A.); (R.D.); (J.G.); (T.A.)
| | - Rosa Dantas
- Centro Hospitalar do Baixo Vouga, CHBV—Endocrinology Department, 3810-164 Aveiro, Portugal; (S.E.-F.); (I.I.); (M.A.); (R.D.); (J.G.); (T.A.)
| | - Idália Almeida
- Department of Medical Sciences, iBiMED—Institute of Biomedicine, University of Aveiro, 3810-193 Aveiro, Portugal; (V.N.); (I.A.)
| | - Joana Guimarães
- Centro Hospitalar do Baixo Vouga, CHBV—Endocrinology Department, 3810-164 Aveiro, Portugal; (S.E.-F.); (I.I.); (M.A.); (R.D.); (J.G.); (T.A.)
| | - Teresa Azevedo
- Centro Hospitalar do Baixo Vouga, CHBV—Endocrinology Department, 3810-164 Aveiro, Portugal; (S.E.-F.); (I.I.); (M.A.); (R.D.); (J.G.); (T.A.)
| | - Alexandra Nunes
- Department of Medical Sciences, iBiMED—Institute of Biomedicine, University of Aveiro, 3810-193 Aveiro, Portugal; (V.N.); (I.A.)
| |
Collapse
|
7
|
Bugter O, Aaboubout Y, Algoe M, de Bruijn HS, Keereweer S, Sewnaik A, Monserez DA, Koljenović S, Hardillo JAU, Robinson DJ, Baatenburg de Jong RJ. Detecting head and neck lymph node metastases with white light reflectance spectroscopy; a pilot study. Oral Oncol 2021; 123:105627. [PMID: 34826688 DOI: 10.1016/j.oraloncology.2021.105627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 09/08/2021] [Accepted: 11/09/2021] [Indexed: 10/19/2022]
Abstract
INTRODUCTION A challenge in the treatment of patients with head and neck cancer is the management of occult cervical lymph node (LN) metastases. Single-fiber reflectance (SFR) spectroscopy has the potential to detect physiological tissue changes that occur in a positive LN. This pilot study aimed to investigate whether SFR spectroscopy could serve as an alternative or additional technique to detect cervical lymph node metastases. MATERIALS AND METHODS We performed intraoperative SFR spectroscopy measurements of LNs with and without malignancies. We analyzed if physiological and scattering parameters were significantly altered in positive LNs. RESULTS Nine patients with a total of nineteen LNs were included. Three parameters, blood volume fraction (BVF), microvascular saturation (StO2), and Rayleigh amplitude, were significantly lower in positive LNs. They were combined into one optical parameter 'delta', using discriminant analysis. Delta was significantly decreased in positive LNs, p = 0,0006. It had a high diagnostic accuracy where the sensitivity, specificity, PPV, and NPV were 90,0%, 88.9%, 90,0%, and 88.9%, respectively. The area under the ROC curve was 96.7% (95% confidence interval 89.7-100.0%). CONCLUSION This proof of principle study is a first step in the development of an SFR spectroscopy technique to detect LN metastases in real time. A next step towards this goal is replicating these results in LNs with smaller metastases and in a larger cohort of patients. This future study will combine SFR spectroscopy with fine-needle aspiration, using the same needle, to perform preoperative in vivo measurements.
Collapse
Affiliation(s)
- Oisín Bugter
- Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Otorhinolaryngology and Head and Neck Surgery, Rotterdam, the Netherlands; Erasmus MC Cancer Institute, University Medical Center Rotterdam, Center for Optical Diagnostics and Therapy, Rotterdam, the Netherlands
| | - Yassine Aaboubout
- Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Otorhinolaryngology and Head and Neck Surgery, Rotterdam, the Netherlands; Erasmus MC Cancer Institute, University Medical Center Rotterdam, Center for Optical Diagnostics and Therapy, Rotterdam, the Netherlands; Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Pathology, Rotterdam, the Netherlands
| | - Mahesh Algoe
- Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Pathology, Rotterdam, the Netherlands
| | - Henriëtte S de Bruijn
- Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Otorhinolaryngology and Head and Neck Surgery, Rotterdam, the Netherlands; Erasmus MC Cancer Institute, University Medical Center Rotterdam, Center for Optical Diagnostics and Therapy, Rotterdam, the Netherlands
| | - Stijn Keereweer
- Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Otorhinolaryngology and Head and Neck Surgery, Rotterdam, the Netherlands
| | - Aniel Sewnaik
- Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Otorhinolaryngology and Head and Neck Surgery, Rotterdam, the Netherlands
| | - Dominiek A Monserez
- Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Otorhinolaryngology and Head and Neck Surgery, Rotterdam, the Netherlands
| | - Senada Koljenović
- Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Pathology, Rotterdam, the Netherlands
| | - Jose A U Hardillo
- Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Otorhinolaryngology and Head and Neck Surgery, Rotterdam, the Netherlands.
| | - Dominic J Robinson
- Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Otorhinolaryngology and Head and Neck Surgery, Rotterdam, the Netherlands; Erasmus MC Cancer Institute, University Medical Center Rotterdam, Center for Optical Diagnostics and Therapy, Rotterdam, the Netherlands
| | - Robert J Baatenburg de Jong
- Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Otorhinolaryngology and Head and Neck Surgery, Rotterdam, the Netherlands
| |
Collapse
|
8
|
CCNA1 gene as a potential diagnostic marker in papillary thyroid cancer. Acta Histochem 2020; 122:151635. [PMID: 33007517 DOI: 10.1016/j.acthis.2020.151635] [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: 12/06/2019] [Revised: 09/03/2020] [Accepted: 09/23/2020] [Indexed: 11/24/2022]
Abstract
The malignancy that most affects the endocrine system is thyroid neoplasm, with an increasing incidence over the years. The most prevalent histological type of the carcinomas that affect the thyroid gland is papillary carcinoma with a prevalence of 80 % worldwide. The current diagnostic methodology may present inconclusive results, emphasizing the need for new effective and sensitive techniques to aid the diagnosis. For this, it is necessary to understand molecular and protein mechanisms in the identification of diagnostic and predictive markers in the lesions. The Cyclin A1 protein, encoded by the CCNA1 gene, is an important cell cycle regulator, belonging to the MAPK/ERK signaling pathway directly involved with thyroid cancer. The aim of this study was to evaluate the CCNA1 gene and Cyclin A1 protein expression in papillary thyroid carcinoma, follicular thyroid carcinoma, and benign thyroid lesions, by real time quantitative PCR and immunohistochemistry analysis, respectively, to verify their roles as potential diagnostic and predictive markers to future applications in the clinical routine. Overexpression of CCNA1 gene was observed in the papillary carcinoma group compared to the normal group (P = 0.0023), benign lesions (P = 0.0011), colloid goiter (P = 0.0124), and follicular carcinoma (P = 0.0063). No differential expression was observed in the papillary primary tumor group from negative lymph nodes compared with the one from positive lymph nodes (P = 0.3818). Although an increased expression of Cyclin A1 was observed in the PTC group compared to the other one in the IHC analysis, no significant difference was observed (Fisher's exact Test). A Cyclin A1 overexpression was detected with weak to mid-moderate immunoreactivity in the benign group (k = 0.56), (score 1.5); mid-moderate to moderate in the goiter group (k = 0.58); weak in the FTC group (k = 0.33); and mid-moderate to moderate in the PTC group (k = 0.48). Due to the small sample size in the IHC analysis and to the fact that not all RNA is translated into protein, the diagnostic potential of Cyclin A1 could not be assessed. However, these findings highlight the potential of the CCNA1 gene as a diagnostic marker for papillary thyroid carcinoma.
Collapse
|
9
|
Depciuch J, Stanek-Widera A, Khinevich N, Bandarenka HV, Kandler M, Bayev V, Fedotova J, Lange D, Stanek-Tarkowska J, Cebulski J. The Spectroscopic Similarity between Breast Cancer Tissues and Lymph Nodes Obtained from Patients with and without Recurrence: A Preliminary Study. Molecules 2020; 25:molecules25143295. [PMID: 32708082 PMCID: PMC7397234 DOI: 10.3390/molecules25143295] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 07/15/2020] [Accepted: 07/16/2020] [Indexed: 01/06/2023] Open
Abstract
Lymph nodes (LNs) play a very important role in the spread of cancer cells. Moreover, it was noticed that the morphology and chemical composition of the LNs change in the course of cancer development. Therefore, finding and monitoring similarities between these characteristics of the LNs and tumor tissues are essential to improve diagnostics and therapy of this dreadful disease. In the present study, we used Raman and Fourier transform infrared (FTIR) spectroscopies to compare the chemical composition of the breast cancer tissues and LNs collected from women without (I group-4 patients) and with (II group-4 patients) recurrence. It was shown that the similarity of the chemical composition of the breast tissues and LNs is typical for the II group of the patients. The average Raman spectrum of the breast cancer tissues from the I group was not characterized by vibrations in the 800-1000 cm-1 region originating from collagen and carbohydrates, which are typical for tumor-affected breast tissues. At the same time, this spectrum contains peaks at 1029 cm-1, corresponding to PO2- from DNA, RNA and phospholipids, and 1520 cm-1, which have been observed in normal breast tissues before. It was shown that Raman bands of the average LN spectrum of the II group associated with proteins and carbohydrates are more intensive than those of the breast tissues spectrum. The intensity of the Raman spectra collected from the samples of the II group is almost three times higher compared to the I group. The vibrations of carbohydrates and amide III are much more intensive in the II group's case. The Raman spectra of the breast cancer tissues and LNs of the II group's samples do not contain bands (e.g., 1520 cm-1) found in the Raman spectra of the normal breast tissues elsewhere. FTIR spectra of the LNs of the I group's women showed a lower level of vibrations corresponding to functional group building nucleic acid, collagen, carbohydrates, and proteins in comparison with the breast cancer tissues. Pearson's correlation test showed positive and more significant interplay between the nature of the breast tissues and LN spectra obtained for the II group of patients than that in the I group's spectra. Moreover, principal component analysis (PCA) showed that it is possible to distinguish Raman and FTIR spectra of the breast cancer tissues and LNs collected from women without recurrence of the disease.
Collapse
Affiliation(s)
- Joanna Depciuch
- Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 Krakow, Poland
- Correspondence: (J.D.); (J.F.)
| | - Agata Stanek-Widera
- Faculty of Medicine, University of Technology, Rolna 43, 40-555 Katowice, Poland; (A.S.-W.); (D.L.)
| | - Nadia Khinevich
- Laboratory of Applied Plasmonics, Belarusian State University of Informatics and Radioelectronics, 220013 Minsk, Belarus; (N.K.); (H.V.B.)
| | - Hanna V. Bandarenka
- Laboratory of Applied Plasmonics, Belarusian State University of Informatics and Radioelectronics, 220013 Minsk, Belarus; (N.K.); (H.V.B.)
- Polytechnic School, Arizona State University, Mesa, AZ 85212, USA
| | - Michal Kandler
- Institute of Physics, University of Rzeszow, College of Natural Sciences, PL-35959 Rzeszow, Poland; (M.K.); (J.C.)
| | - Vadim Bayev
- Research Institute for Nuclear Problems of Belarusian State University, 220030 Minsk, Belarus;
| | - Julia Fedotova
- Research Institute for Nuclear Problems of Belarusian State University, 220030 Minsk, Belarus;
- Correspondence: (J.D.); (J.F.)
| | - Dariusz Lange
- Faculty of Medicine, University of Technology, Rolna 43, 40-555 Katowice, Poland; (A.S.-W.); (D.L.)
| | - Jadwiga Stanek-Tarkowska
- Institute of Agricultural Sciences, Land Management and Environmental Protection, University of Rzeszow, PL-35959 Rzeszow, Poland;
| | - Jozef Cebulski
- Institute of Physics, University of Rzeszow, College of Natural Sciences, PL-35959 Rzeszow, Poland; (M.K.); (J.C.)
| |
Collapse
|
10
|
da Silva RM, Pupin B, Bhattacharjee TT, Vamondes Kulcsar MA, Uno M, Chammas R, de Azevedo Canevari R. ATR-FTIR spectroscopy and CDKN1C gene expression in the prediction of lymph nodes metastases in papillary thyroid carcinoma. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 228:117693. [PMID: 31708464 DOI: 10.1016/j.saa.2019.117693] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 09/11/2019] [Accepted: 10/22/2019] [Indexed: 06/10/2023]
Abstract
Thyroid cancer has become in recent years the most common endocrine malignancy. Among its different types, papillary thyroid carcinoma (PTC) has the highest incidence. PTC is slow growing, but shows a high rate of lymph node metastasis. Tissue biochemical characterization and identification of molecular markers can facilitate stratification of patients into those requiring surgical assessment of lymph nodes and patients for whom this surgical procedure is unnecessary; thus, leading to a more accurate prognosis. To this end, the study aimed to predict lymph node metastasis by Attenuated Total Reflectance - Fourier transform infrared (ATR-FTIR) spectroscopy of primary PTC tumors. Another objective of the study was to determine whether CCNA1, CDKN1C, FOS, HSPA5, JUN, KSR1, MAP2K6, MAPK8IP2 and SFN gene expression in primary PTC tumors could be used as predictive markers of lymph node metastasis. Three PTC with lymph node involvement (PTC+), six PTC without lymph node involvement (PTC-), and five normal (N) thyroid tissues were used for FTIR spectroscopy analysis; while 18 PTC+, 17 PTC-, and 6 N samples were used for molecular analysis by real-time quantitative PCR (RT-qPCR). FTIR spectral analysis revealed changes in phosphate groups possibly associated with nucleic acid (1236 cm-1), and protein/lipids (1452, 2924, 3821 cm-1) in PTC + compared to PTC-, and multivariate analysis could distinguish the two groups. Molecular analysis showed significant increase in CDKN1C gene expression in PTC + compared to PTC-. Being a cell growth regulator, increased CDKN1C provides some supporting evidence to the FTIR spectroscopy based finding of increased nucleic acids in PTC+. Thus, the study suggests the possibility of using FTIR spectroscopy and CDKN1C expression for predicting metastasis using primary tumor alone.
Collapse
Affiliation(s)
- Raissa Monteiro da Silva
- Laboratório de Biologia Molecular Do Câncer, Universidade Do Vale Do Paraíba, UNIVAP, Instituto de Pesquisa e Desenvolvimento, Avenida Shishima Hifumi 2911, Urbanova, São José Dos Campos, 12244-000, São Paulo, SP, Brazil
| | - Breno Pupin
- Laboratório de Biologia Molecular Do Câncer, Universidade Do Vale Do Paraíba, UNIVAP, Instituto de Pesquisa e Desenvolvimento, Avenida Shishima Hifumi 2911, Urbanova, São José Dos Campos, 12244-000, São Paulo, SP, Brazil
| | - Tanmoy Tapobrata Bhattacharjee
- Dental Implantology and Forensics, Sir John Walsh Research Institute, University of Otago, 310 Great King St, North Dunedin, Dunedin, 9016, New Zealand
| | - Marco Aurélio Vamondes Kulcsar
- Instituto Do Câncer Do Estado de São Paulo, Serviço de Cirurgia de Cabeça e Pescoço, Av. Doutor Arnaldo, 251, Cerqueira César, CEP 01246-000, São Paulo, SP, Brazil
| | - Miyuki Uno
- Centro de Investigação Translacional Em Oncologia, Departamento de Radiologia e Oncologia, Instituto Do Cancer Do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo (FMUSP), Avenida Dr. Arnaldo 251, Cerqueira César, São Paulo, 01246-000, São Paulo, Brazil
| | - Roger Chammas
- Centro de Investigação Translacional Em Oncologia, Departamento de Radiologia e Oncologia, Instituto Do Cancer Do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo (FMUSP), Avenida Dr. Arnaldo 251, Cerqueira César, São Paulo, 01246-000, São Paulo, Brazil
| | - Renata de Azevedo Canevari
- Laboratório de Biologia Molecular Do Câncer, Universidade Do Vale Do Paraíba, UNIVAP, Instituto de Pesquisa e Desenvolvimento, Avenida Shishima Hifumi 2911, Urbanova, São José Dos Campos, 12244-000, São Paulo, SP, Brazil.
| |
Collapse
|
11
|
Chrabaszcz K, Kochan K, Fedorowicz A, Jasztal A, Buczek E, Leslie LS, Bhargava R, Malek K, Chlopicki S, Marzec KM. FT-IR- and Raman-based biochemical profiling of the early stage of pulmonary metastasis of breast cancer in mice. Analyst 2018; 143:2042-2050. [DOI: 10.1039/c7an01883e] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The combination of FT-IR and Raman spectroscopies allowed the biochemical profiling of lungs and definition of the spectroscopic biomarkers of the early stage of pulmonary metastasis of breast cancer.
Collapse
Affiliation(s)
- Karolina Chrabaszcz
- Jagiellonian Centre for Experimental Therapeutics (JCET)
- Jagiellonian University
- Krakow
- Poland
- Centre for Medical Genomics OMICRON
| | - Kamila Kochan
- Centre for Biospectroscopy
- School of Chemistry
- Monash University
- 3800 Australia
| | - Andrzej Fedorowicz
- Chair of Pharmacology
- Jagiellonian University Medical College
- Krakow
- Poland
- Jagiellonian Centre for Experimental Therapeutics (JCET)
| | - Agnieszka Jasztal
- Jagiellonian Centre for Experimental Therapeutics (JCET)
- Jagiellonian University
- Krakow
- Poland
| | - Elzbieta Buczek
- Jagiellonian Centre for Experimental Therapeutics (JCET)
- Jagiellonian University
- Krakow
- Poland
| | - Lisa S. Leslie
- Department of Bioengineering and Beckman Institute for Advanced Science and Technology
- University of Illinois at Urbana–Champaign
- Urbana
- USA
| | - Rohit Bhargava
- Department of Bioengineering and Beckman Institute for Advanced Science and Technology
- University of Illinois at Urbana–Champaign
- Urbana
- USA
- Department of Mechanical Science and Engineering
| | - Kamilla Malek
- Faculty of Chemistry
- Jagiellonian University
- Krakow
- Poland
| | - Stefan Chlopicki
- Jagiellonian Centre for Experimental Therapeutics (JCET)
- Jagiellonian University
- Krakow
- Poland
- Chair of Pharmacology
| | - Katarzyna M. Marzec
- Jagiellonian Centre for Experimental Therapeutics (JCET)
- Jagiellonian University
- Krakow
- Poland
- Centre for Medical Genomics OMICRON
| |
Collapse
|
12
|
Verdonck M, Denayer A, Delvaux B, Garaud S, De Wind R, Desmedt C, Sotiriou C, Willard-Gallo K, Goormaghtigh E. Characterization of human breast cancer tissues by infrared imaging. Analyst 2017; 141:606-19. [PMID: 26535413 DOI: 10.1039/c5an01512j] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Fourier Transform InfraRed (FTIR) spectroscopy coupled to microscopy (IR imaging) has shown unique advantages in detecting morphological and molecular pathologic alterations in biological tissues. The aim of this study was to evaluate the potential of IR imaging as a diagnostic tool to identify characteristics of breast epithelial cells and the stroma. In this study a total of 19 breast tissue samples were obtained from 13 patients. For 6 of the patients, we also obtained Non-Adjacent Non-Tumor tissue samples. Infrared images were recorded on the main cell/tissue types identified in all breast tissue samples. Unsupervised Principal Component Analyses and supervised Partial Least Square Discriminant Analyses (PLS-DA) were used to discriminate spectra. Leave-one-out cross-validation was used to evaluate the performance of PLS-DA models. Our results show that IR imaging coupled with PLS-DA can efficiently identify the main cell types present in FFPE breast tissue sections, i.e. epithelial cells, lymphocytes, connective tissue, vascular tissue and erythrocytes. A second PLS-DA model could distinguish normal and tumor breast epithelial cells in the breast tissue sections. A patient-specific model reached particularly high sensitivity, specificity and MCC rates. Finally, we showed that the stroma located close or at distance from the tumor exhibits distinct spectral characteristics. In conclusion FTIR imaging combined with computational algorithms could be an accurate, rapid and objective tool to identify/quantify breast epithelial cells and differentiate tumor from normal breast tissue as well as normal from tumor-associated stroma, paving the way to the establishment of a potential complementary tool to ensure safe tumor margins.
Collapse
Affiliation(s)
- M Verdonck
- Laboratory of Structure and Function of Biological Membranes, Center of Structural Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium.
| | - A Denayer
- Laboratory of Structure and Function of Biological Membranes, Center of Structural Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium.
| | - B Delvaux
- Laboratory of Structure and Function of Biological Membranes, Center of Structural Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium.
| | - S Garaud
- Molecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - R De Wind
- Pathological Anatomy Department, Institut Jules Bordet, Brussels, Belgium
| | - C Desmedt
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Brussels, Belgium
| | - C Sotiriou
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Brussels, Belgium
| | - K Willard-Gallo
- Molecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - E Goormaghtigh
- Laboratory of Structure and Function of Biological Membranes, Center of Structural Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium.
| |
Collapse
|
13
|
Wu M, Cui L, Ling X, Xu Z. Detection of cholangiocarcinoma with Fourier transform infrared spectroscopy and radial basis function neural network classification. Chem Res Chin Univ 2016. [DOI: 10.1007/s40242-016-5470-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
14
|
Sheng D, Xu F, Yu Q, Fang T, Xia J, Li S, Wang X. A study of structural differences between liver cancer cells and normal liver cells using FTIR spectroscopy. J Mol Struct 2015. [DOI: 10.1016/j.molstruc.2015.05.054] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
15
|
Tian P, Zhang W, Zhao H, Lei Y, Cui L, Zhang Y, Xu Z. Intraoperative detection of sentinel lymph node metastases in breast carcinoma by Fourier transform infrared spectroscopy. Br J Surg 2015. [PMID: 26198697 DOI: 10.1002/bjs.9882] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Abstract
Background
Sentinel lymph node (SLN) biopsy is a routine surgical staging procedure in clinically lymph node-negative breast cancer. Fourier transform infrared (FTIR) spectroscopy, a technique based on the biochemical composition of the tissue, has previously been found to be capable of differentiating between normal and malignant tissue. The aim of the present study was to explore the intraoperative use of FTIR spectroscopy for rapidly identifying metastatic SLNs, and distinguishing between metastatic and non-metastatic tissue.
Methods
Freshly removed SLNs from patients with breast cancer were analysed. Samples were measured by FTIR spectroscopy before histopathological diagnosis. The FTIR spectrum of each sample identified ten bands from 2000 to 900 cm−1. The peak position, intensity and full width at half maximum of each absorbent band were measured, and the relative intensity ratios calculated. Canonical discriminant analysis was performed to discriminate between metastatic and non-metastatic samples.
Results
A total of 149 SLNs were removed from 49 patients. Histopathological examination confirmed 38 metastatic and 111 non-metastatic SLNs. Eighteen of 29 parameters were significantly different between the metastatic and non-metastatic SLNs. Five parameters were selected as independent factors to form discriminant functions. The sensitivity, specificity and accuracy of this method were 94·7, 90·1 and 91·3 per cent respectively. The accuracy of histological analysis of frozen sections was 100 per cent.
Conclusion
FTIR spectroscopy is a promising technique for the real-time diagnosis of SLN metastasis during breast cancer surgery. Surgical relevanceSentinel lymph node (SLN) biopsy is a highly accurate predictor of overall axillary status and has become the standard in disease staging in clinically node-negative breast cancer. A rapid and accurate intraoperative assessment of metastatic spread to the SLN provides the necessary information for the surgeon to proceed with immediate axillary dissection.The results of this research indicate that Fourier transform infrared (FTIR) spectroscopy is a rapid, accurate, non-destructive and cost-effective molecular method that can be used to detect SLN metastasis during surgery.FTIR analysis could be useful for the intraoperative diagnosis of lymph node metastases at large institutions, thereby reducing the workload of pathologists, as well as in regions lacking pathologists such as in developing countries.
Collapse
Affiliation(s)
- P Tian
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - W Zhang
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - H Zhao
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - Y Lei
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - L Cui
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - Y Zhang
- College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Z Xu
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| |
Collapse
|
16
|
Noninvasive surface detection of papillary thyroid carcinoma by Fourier transform infrared spectroscopy. Chem Res Chin Univ 2015. [DOI: 10.1007/s40242-015-4354-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
17
|
Sattlecker M, Stone N, Bessant C. Current trends in machine-learning methods applied to spectroscopic cancer diagnosis. Trends Analyt Chem 2014. [DOI: 10.1016/j.trac.2014.02.016] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
|
18
|
Grootendorst DJ, Steenbergen W, Manohar S, Ruers TJM. Optical techniques for the intraoperative assessment of nodal status. Future Oncol 2013; 9:1741-55. [PMID: 24156334 DOI: 10.2217/fon.13.125] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The lymphatic system is an important pathway in the metastatic spread of many malignancies and a key prognostic indicator. Nondestructive assessment of the nodal status during surgery could limit the amount of lymph nodes that need to be resected and allow for immediate regional lymphadenectomy during sentinel lymph node biopsy procedures. This review looks into the possibilities of conventional medical imaging methods that are capable of intraoperative nodal assessment and discusses multiple newly developed optical techniques. The physical background behind these techniques is reviewed and a concise overview of their main advantages and disadvantages is provided. These recent innovations show that while the application of optical modalities for intraoperative nodal staging is not yet applied routinely, there is reason enough to expect their introduction in the near future.
Collapse
Affiliation(s)
- Diederik J Grootendorst
- Biomedical Photonic Imaging Group, MIRA Institute for Biomedical Technology & Technical Medicine, Science & Technology, University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands
| | | | | | | |
Collapse
|
19
|
Detection of lung cancer tissue by attenuated total reflection–Fourier transform infrared spectroscopy—a pilot study of 60 samples. J Surg Res 2013; 179:33-8. [DOI: 10.1016/j.jss.2012.08.057] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2012] [Revised: 08/21/2012] [Accepted: 08/30/2012] [Indexed: 11/17/2022]
|
20
|
Pereira TM, Zezell DM, Bird B, Miljković M, Diem M. The characterization of normal thyroid tissue by micro-FTIR spectroscopy. Analyst 2013; 138:7094-100. [DOI: 10.1039/c3an00296a] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
21
|
Label-free differentiation of human pituitary adenomas by FT-IR spectroscopic imaging. Anal Bioanal Chem 2012; 403:727-35. [DOI: 10.1007/s00216-012-5824-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2011] [Revised: 01/29/2012] [Accepted: 02/01/2012] [Indexed: 01/13/2023]
|
22
|
Stelling A, Salzer R, Kirsch M, Sobottka SB, Geiger K, Koch E, Schackert G, Steiner G. Intra-operative optical diagnostics with vibrational spectroscopy. Anal Bioanal Chem 2011; 400:2745-53. [DOI: 10.1007/s00216-011-5022-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2011] [Revised: 04/11/2011] [Accepted: 04/12/2011] [Indexed: 11/25/2022]
|