A grid matrix-based Raman spectroscopic method to characterize different cell milieu in biopsied axillary sentinel lymph nodes of breast cancer patients

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• 作者：Dipasree Som ; Megha Tak ; Mohit Setia ; Asawari Patil…
• 关键词：Axillary lymph node ; Raman spectroscopy ; Grid matrix ; Histopathology ; Cross ; correlation ; Peak ; to ; peak ratio
• 刊名：Lasers in Medical Science
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：31
• 期：1
• 页码：95-111
• 全文大小：4,330 KB
• 参考文献：1.American Cancer Society (2015) Global cancer facts & figures, 3rd edn. American Cancer Society, Atlanta
  2.IARC-WHO (2008) World cancer report 2008 in. Boyle P, Levin B Eds. International Agency for Research on Cancer and World Health Organization
  3.Khokhar A (2012) Breast cancer in India: where do we stand and where do we go? Asian Pac J Cancer Prev 10:4861–4866CrossRef
  4.Lucci A, McCall LM, Beitsch PD, Whitworth PW, Reintgen DS, Blumencranz PW, Leitch AM, Saha S, Hunt KK, Giuliano AE (2007) Surgical complications associated with sentinel lymph node dissection (SLND) plus axillary lymph node dissection compared with SLND alone in the American College of Surgeons Oncology Group Trial Z0011. J Clin Oncol 25:3657–3663PubMed CrossRef
  5.A. D. A. M. Medical encyclopedia (2012) Lymph node biopsy
  6.Mansel RE, Fallowfield L, Kissin M, Goyal A, Newcombe RG, Dixon JM et al (2006) Randomized multicenter trial of sentinel node biopsy versus standard axillary treatment in operable breast cancer: the ALMANAC trial. J Natl Cancer Inst 98:599–609PubMed CrossRef
  7.Fleissig A, LJ F, Langridge CI, Johnson L, Newcombe RG, Dixon JM, Kissin M, Mansel RE (2006) Post-operative arm morbidity and quality of life. Results of the ALMANAC randomized trial comparing sentinel node biopsy with standard axillary treatment in the management of patients with early breast cancer. Breast Cancer Res Treat 3:279–293CrossRef
  8.Gill G, SNAC Trial Group of the Royal Australasian College of Surgeons (RACS), NHMRC Clinical Trials Centre (2009) Sentinel-lymph-node-based management or routine axillary clearance? one-year outcomes of sentinel node biopsy versus axillary clearance (SNAC): a randomized controlled surgical trial. Ann Surg Oncol 16:266–275. doi:10.​1245/​s10434-008-0229-z PubMed CrossRef
  9.Raman CV, Krishnan KS (1928) A new type of secondary radiation. Nature 121(3048):501–502CrossRef
  10.Pappas D, Smith BW, Winefordner JD et al (2000) Raman spectroscopy in bioanalysis. Talanta 51:131–144PubMed CrossRef
  11.Cheng G, Kurita S, Torigian DA, Alavi A (2011) Current status of sentinel lymph-node biopsy in patients with breast cancer. Eur J Nucl Med Mol Imaging 38(3):562–575. doi:10.​1007/​s00259-010-1577-z PubMed CrossRef
  12.García-Flores AF, Raniero L, Canevari RA, Jalkanen KJ, Bitar RA, Martinho HS, Martin AA (2011) High-wavenumber FT-Raman spectroscopy for in vivo and ex vivo measurements of breast cancer. Theor Chem Acc 130:1231–1238CrossRef
  13.Soares JS, Barman I, Dingari NC, Volynskaya Z, Liu W, Klein N, Plecha D, Dasari RR, Fitzmaurice M (2012) Diagnostic power of diffuse reflectance spectroscopy for targeted detection of breast lesions with microcalcifications. Proc Natl Acad Sci U S A 110(2):471–476. doi:10.​1073/​pnas.​1215473110 PubMed PubMedCentral CrossRef
  14.Utzinger U, Heintzelman DL, Mahadevan-Jansen A, Malpica A, Follen M, Richards-Kortum R (2001) Near-infrared Raman spectroscopy for in vivo detection of cervical precancers. Appl Spectrosc 55:955–959CrossRef
  15.Bhushan B, Pradhan A (2013) A detection of breast & cervical cancer using Raman spectroscopy. Intl J Innov Res Sci Eng Technol 2:3420–3425
  16.Bitar Carter RA, Martin AA, Netto MM, Soares FA (2004) FT-Raman spectroscopy study of human breast tissue. SPIE Proc 5321:190–197CrossRef
  17.Olds WJ, Jaatinen E, Fredericks P, Cletus B, Panayiotou H, Izake EL (2011) Spatially offset Raman spectroscopy (SORS) for the analysis and detection of packaged pharmaceuticals and concealed drugs. Forensic Sci Int 212(1–3):69–77PubMed CrossRef
  18.Macleod NA, Matousek P (2007/2008) Enhancement of signal in transmission Raman spectroscopy of turbid media, Lasers for science facility (lsf) programme, Central laser facility annual report 200–202
  19.De Jong BWD, Bakker Schut TC, Maquelin K, van der Kwast T, Bangma CH, Kok D-J, Puppels GJ (2006) Discrimination between Non-tumor bladder tissue and tumor by Raman spectroscopy. Anal Chem 78(22):7761–7769PubMed CrossRef
  20.Crane NJ, Brown TS, Evans KN, Hawksworth JS, Hussey S, Doug K, Tadaki DK, Eric A, Elster EA (2010) Monitoring the healing of combat wounds using Raman spectroscopic mapping. Wound Repair Regen 18(4):409–416PubMed CrossRef
  21.Powdrill S (2009) Beyond the red reflex: examining the eye with an ophthalmoscope. JAAPA 22(10):2534–2538, CME posttest http://​connection.​ebscohost.​com/​c/​articles/​44529984/​beyond-red-reflex-examining-eye-ophthalmoscope
  22.The merck manual-home health handbook, patients & caregivers, eye disorders, diagnosis of eye disorders, The eye examination; source: http://​www.​merckmanuals.​com/​home/​eye_​disorders/​diagnosis_​of_​eye_​disorders/​the_​eye_​examination.​html
  23.Baecker V (2008) MRI Grid – Mri- CNRS mri-cia-source. zip: http://​www.​mri.​cnrs.​fr/​index.​php?​m=​62&​c=​72
  24.Ali SM, Bonnier F, Tfayli A, Lambkin H, Flynn K, McDonagh V, Healy C, Clive Lee T, Lyng FM, Byrne HJ (2013) Raman spectroscopic analysis of human skin tissue sections ex-vivo: evaluation of the effects of tissue processing and dewaxing. J Biomed Opt 6:061202. doi:10.​1117/​1.​JBO.​18.​6.​061202
  25.Shetty G, Kendall C, Shepherd N, Stone N, Barr H (2006) Raman spectroscopy: elucidation of biochemical changes in carcinogenesis of oesophagus. Br J Cancer 94(10):1460–1464. doi:10.​1038/​sj.​bjc.​6603102 PubMed PubMedCentral CrossRef
  26.Crow P, Barrass B, Kendall C, Hart-Prieto M, Wright M, Persad R, Stone N (2005) The use of Raman spectroscopy to differentiate between different prostatic adenocarcinoma cell lines. Br J Cancer 92:2166–2170. doi:10.​1038/​sj.​bjc.​6602638 PubMed PubMedCentral CrossRef
  27.Singh SP, Deshmukh A, Chaturvedi P, Murali Krishna C (2012) In vivo Raman spectroscopic identification of premalignant lesions in oral buccal mucosa. J Biomed Opt 17(10):105002. doi:10.​1117/​1.​JBO.​17.​10.​105002 PubMed
  28.Chowdary MV, Kumar KK, Kurien J, Mathew S, Krishna CM (2006) Discrimination of normal, benign, and malignant breast tissues by Raman spectroscopy. Biopolymers 83(5):556–569PubMed CrossRef
  29.Malini R, Venkatakrishna K, Kurien J, Pai KM, Rao L, Kartha VB, Krishna CM (2006) Discrimination of normal, inflammatory, premalignant, and malignant oral tissue: a Raman spectroscopy study. Biopolymers 81(3):179–193PubMed CrossRef
  30.Kalyan Kumar K, Chowdary MVP, Stanley M, Lakshmi R, Murali Krishna C, Jacob K (2008) Raman spectroscopic diagnosis of breast cancers: evaluation of models. J Raman Spectrosc. doi:10.​1002/​jrs.​1991
  31.Keating ME, Bonnier F, Byrne H (2012) Spectral cross correlation as a supervised approach for the analysis of complex Raman datasets: the case of nanoparticles in biological cells. Analyst 137(24):5792–5802PubMed CrossRef
  32.Mo J, Zheng W, Low J, Ng JS, Ilancheran A, Huang Z (2009) High wave number Raman spectroscopy for in vivo detection of cervical dysplasia. Anal Chem 81:8908–8915PubMed CrossRef
  33.Nijssen A, Maquelin K, Santos LF, Caspers PJ, Bakker Schut TC, den Hollander JC, Neumann MH, Puppels GJ (2007) Discriminating basal cell carcinoma from perilesional skin using high wave-number Raman spectroscopy. J Biomed Opt 12(3):034004PubMed CrossRef
  34.Koljenović S, Bakker Schut TC, Wolthuis R, de Jong B, Santos L, Caspers PJ, Kros JM, Puppels GJ (2005) Tissue characterization using high wave number Raman spectroscopy. J Biomed Opt 10(3):031116PubMed CrossRef
  35.Chau, Alexandra H (2009) Development of an intracoronary Raman spectroscopy. Theses, Massachusetts institute of technology
  36.Haka AS, Shafer-Peltier KE, Fitzmaurice M, Crowe J, Dasari RR, Feld MS (2005) Diagnosing breast cancer by using Raman spectroscopy. PNAS 102:12371–12376PubMed PubMedCentral CrossRef
  37.Movasaghi Z, Rehman S, Rehman IU (2007) Raman spectroscopy of biological tissues. Appl Spectrosc Rev 42:493–541CrossRef
  38.Gelder JD, Gussem KD, Vandenabeele P, Moens L (2007) Reference database of Raman spectra of biological molecules. J Raman Spectrosc 38:1133–1147CrossRef
  39.Mahadevan-Jansen A, Richards-Kortum R (1997) Raman spectroscopy for cancer detection: a review. Proceedings- 19th International conference, IEEE/EMBS 2722–28
  40.Isabelle M, Stone N, Barr H, Vipond M, Shepherd N, Rogers K (2008) Lymph node pathology using optical spectroscopy in cancer diagnostics. Spectroscopy 22(2–3):97–104CrossRef
  41.Keshtgar MR, Chicken DW, Austwick MR, Somasundaram SK, Mosse CA, Zhu Y, Bigio IJ, Bown SG (2010) Optical scanning for rapid intraoperative diagnosis of sentinel node metastases in breast cancer. Br J Surg 97:1232–1239. doi:10.​1002/​bjs.​7095 PubMed CrossRef
  42.Chan JW, Taylor DS, Zwerdling T, Lane SM, Ihara K, Huser T (2006) Micro-Raman spectroscopy detects individual neoplastic and normal hematopoietic cells. Biophys J 90(2):648–656. doi:10.​1529/​biophysj.​105.​066761 PubMed PubMedCentral CrossRef
  43.Krishna CM, Sockalingum GD, Kegelaer G, Rubin S, Kartha VB, Manfait M (2005) Micro-Raman spectroscopy of mixed cancer cell populations. Vib Spectrosc 38:95–100. doi:10.​1016/​j.​vibspec.​2005.​02.​018 CrossRef
  
• 作者单位：Dipasree Som (1)
  Megha Tak (2)
  Mohit Setia (2)
  Asawari Patil (3)
  Amit Sengupta (1)
  C. Murali Krishna Chilakapati (4)
  Anurag Srivastava (5)
  Vani Parmar (6)
  Nita Nair (6)
  Rajiv Sarin (7)
  R. Badwe (6)
  
  1. Bioengineering Lab, Office: PS-113, Advanced center for Treatment, Research and Education in Cancer, TATA Memorial Centre, Kharghar, Navi Mumbai, 410210, India
  2. B. Tech, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhi Nagar, Gujarat, India
  3. Department of Surgical Pathology, Tata Memorial Hospital-TMC, Mumbai, 400012, India
  4. Chilakapati Lab, Advanced Center for Treatment, Research & Education in Cancer (ACTREC-TMC), Kharghar, Navi Mumbai, 410210, India
  5. Department of Surgery, All India Institute of Medical Sciences, New Delhi, 110029, India
  6. Department of Breast Surgery, Tata Memorial Hospital-TMC, Mumbai, 400012, India
  7. Radiation Oncology, Advanced Center for Treatment, Research and Education in Cancer (ACTREC-TMC), Navi Mumbai, 410210, India
  
• 刊物类别：Medicine
• 刊物主题：Medicine & Public Health
  Medicine/Public Health, general
  Dentistry
  Laser Technology and Physics and Photonics
  Quantum Optics, Quantum Electronics and Nonlinear Optics
  Applied Optics, Optoelectronics and Optical Devices
  
• 出版者：Springer London
• ISSN：1435-604X

文摘

Raman spectroscopy which is based upon inelastic scattering of photons has a potential to emerge as a noninvasive bedside in vivo or ex vivo molecular diagnostic tool. There is a need to improve the sensitivity and predictability of Raman spectroscopy. We developed a grid matrix-based tissue mapping protocol to acquire cellular-specific spectra that also involved digital microscopy for localizing malignant and lymphocytic cells in sentinel lymph node biopsy sample. Biosignals acquired from specific cellular milieu were subjected to an advanced supervised analytical method, i.e., cross-correlation and peak-to-peak ratio in addition to PCA and PC-LDA. We observed decreased spectral intensity as well as shift in the spectral peaks of amides and lipid bands in the completely metastatic (cancer cells) lymph nodes with high cellular density. Spectral library of normal lymphocytes and metastatic cancer cells created using the cellular specific mapping technique can be utilized to create an automated smart diagnostic tool for bench side screening of sampled lymph nodes. Spectral library of normal lymphocytes and metastatic cancer cells created using the cellular specific mapping technique can be utilized to develop an automated smart diagnostic tool for bench side screening of sampled lymph nodes supported by ongoing global research in developing better technology and signal and big data processing algorithms.