Literature DB >> 25588147

A Raman spectroscopic study of cell response to clinical doses of ionizing radiation.

Samantha J Harder1, Quinn Matthews, Martin Isabelle, Alexandre G Brolo, Julian J Lum, Andrew Jirasek.   

Abstract

The drive toward personalized radiation therapy (RT) has created significant interest in determining patient-specific tumor and normal tissue responses to radiation. Raman spectroscopy (RS) is a non-invasive and label-free technique that can detect radiation response through assessment of radiation-induced biochemical changes in tumor cells. In the current study, single-cell RS identified specific radiation-induced responses in four human epithelial tumor cell lines: lung (H460), breast (MCF-7, MDA-MB-231), and prostate (LNCaP), following exposure to clinical doses of radiation (2-10 Gy). At low radiation doses (2 Gy), H460 and MCF-7 cell lines showed an increase in glycogen-related spectral features, and the LNCaP cell line showed a membrane phospholipid-related radiation response. In these cell lines, only spectral information from populations receiving 10 Gy or less was required to identify radiation-related features using principal component analysis (PCA). In contrast, the MDA-MB-231 cell line showed a significant increase in protein relative to nucleic acid and lipid spectral features at doses of 6 Gy or higher, and high-dose information (30, 50 Gy) was required for PCA to identify this biological response. The biochemical nature of the radiation-related changes occurring in cells exposed to clinical doses was found to segregate by status of p53 and radiation sensitivity. Furthermore, the utility of RS to identify a biological response in human tumor cells exposed to therapeutic doses of radiation was found to be governed by the extent of the biochemical changes induced by a radiation response and is therefore cell line specific. The results of this study demonstrate the utility and effectiveness of single-cell RS to identify and measure biological responses in tumor cells exposed to standard radiotherapy doses.

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Year:  2015        PMID: 25588147     DOI: 10.1366/14-07561

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  12 in total

1.  Label-Free Raman Spectroscopy Reveals Signatures of Radiation Resistance in the Tumor Microenvironment.

Authors:  Santosh K Paidi; Paola Monterroso Diaz; Sina Dadgar; Samir V Jenkins; Charles M Quick; Robert J Griffin; Ruud P M Dings; Narasimhan Rajaram; Ishan Barman
Journal:  Cancer Res       Date:  2019-02-28       Impact factor: 12.701

2.  Discrimination of radiosensitive and radioresistant murine lymphoma cells by Raman spectroscopy and SERS.

Authors:  Iris Aguilar-Hernández; Diana L Cárdenas-Chavez; Tzarara López-Luke; Alejandra García-García; Marcela Herrera-Domínguez; Eduardo Pisano; Nancy Ornelas-Soto
Journal:  Biomed Opt Express       Date:  2019-12-23       Impact factor: 3.732

3.  Analysis of Hemogram of Radiation Workers in Tangshan, China.

Authors:  Qing-Zeng Qian; Xiang-Ke Cao; Hai-Yan Liu; Fu-Hai Shen; Qian Wang; Jun-Wang Tong; Qing-Qiang Qian
Journal:  J Clin Lab Anal       Date:  2016-03-14       Impact factor: 2.352

4.  Raman profile alterations of irradiated human nasopharyngeal cancer cells detected with laser tweezer Raman spectroscopy.

Authors:  Sufang Qiu; Youliang Weng; Ying Li; Yang Chen; Yuhui Pan; Jun Liu; Wanzun Lin; Xiaochuan Chen; Miaomiao Li; Ting Lin; Wei Liu; Lurong Zhang; Duo Lin
Journal:  RSC Adv       Date:  2020-04-08       Impact factor: 4.036

5.  Exposure to 1.8 GHz electromagnetic fields affects morphology, DNA-related Raman spectra and mitochondrial functions in human lympho-monocytes.

Authors:  M Lasalvia; R Scrima; G Perna; C Piccoli; N Capitanio; P F Biagi; L Schiavulli; T Ligonzo; M Centra; G Casamassima; A Ermini; V Capozzi
Journal:  PLoS One       Date:  2018-02-20       Impact factor: 3.240

6.  Exploring subcellular responses of prostate cancer cells to X-ray exposure by Raman mapping.

Authors:  Maciej Roman; Tomasz P Wrobel; Agnieszka Panek; Esen Efeoglu; Joanna Wiltowska-Zuber; Czeslawa Paluszkiewicz; Hugh J Byrne; Wojciech M Kwiatek
Journal:  Sci Rep       Date:  2019-06-18       Impact factor: 4.379

7.  Radiation-Induced Glycogen Accumulation Detected by Single Cell Raman Spectroscopy Is Associated with Radioresistance that Can Be Reversed by Metformin.

Authors:  Quinn Matthews; Martin Isabelle; Samantha J Harder; Julian Smazynski; Wayne Beckham; Alexandre G Brolo; Andrew Jirasek; Julian J Lum
Journal:  PLoS One       Date:  2015-08-17       Impact factor: 3.240

8.  Raman spectroscopy identifies radiation response in human non-small cell lung cancer xenografts.

Authors:  Samantha J Harder; Martin Isabelle; Lindsay DeVorkin; Julian Smazynski; Wayne Beckham; Alexandre G Brolo; Julian J Lum; Andrew Jirasek
Journal:  Sci Rep       Date:  2016-02-17       Impact factor: 4.379

9.  Upcoming imaging concepts and their impact on treatment planning and treatment response in radiation oncology.

Authors:  Paul Russell Roberts; Ashesh B Jani; Satyaseelan Packianathan; Ashley Albert; Rahul Bhandari; Srinivasan Vijayakumar
Journal:  Radiat Oncol       Date:  2018-08-13       Impact factor: 3.481

10.  Unique spectral markers discern recurrent Glioblastoma cells from heterogeneous parent population.

Authors:  Ekjot Kaur; Aditi Sahu; Arti R Hole; Jacinth Rajendra; Rohan Chaubal; Nilesh Gardi; Amit Dutt; Aliasgar Moiyadi; C Murali Krishna; Shilpee Dutt
Journal:  Sci Rep       Date:  2016-05-25       Impact factor: 4.379

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