Literature DB >> 29729529

Screening and staging for non-small cell lung cancer by serum laser Raman spectroscopy.

Hong Wang1, Shaohong Zhang2, Limei Wan3, Hong Sun3, Jie Tan3, Qiucheng Su2.   

Abstract

OBJECTIVE: Lung cancer is the leading cause of cancer-related death worldwide. Current clinical screening methods to detect lung cancer are expensive and associated with many complications. Raman spectroscopy is a spectroscopic technique that offers a convenient method to gain molecular information about biological samples. In this study, we measured the serum Raman spectral intensity of healthy volunteers and patients with different stages of non-small cell lung cancer. The purpose of this study was to evaluate the application of serum laser Raman spectroscopy as a low cost alternative method in the screening and staging of non-small cell lung cancer (NSCLC).
METHODS: The Raman spectra of the sera of peripheral venous blood were measured with a LabRAM HR 800 confocal Micro Raman spectrometer for individuals from five groups including 14 healthy volunteers (control group), 23 patients with stage I NSCLC (stage I group), 24 patients with stage II NSCLC (stage II group), 19 patients with stage III NSCLC (stage III group), 11 patients with stage IV NSCLC (stage IV group). Each serum sample was measured 3 times at different spots and the average spectra represented the signal of Raman spectra in each case. The Raman spectrum signal data of the five groups were statistically analyzed by analysis of variance (ANOVA), principal component analysis (PCA), linear discriminant analysis (LDA), and cross-validation.
RESULTS: Raman spectral intensity was sequentially reduced in serum samples from control group, stage I group, stage II group and stage III/IV group. The strongest peak intensity was observed in the control group, and the weakest one was found in the stage III/IV group at bands of 848 cm-1, 999 cm-1, 1152 cm-1, 1446 cm-1 and 1658 cm-1 (P < 0.05). Linear discriminant analysis showed that the sensitivity to identify healthy people, stage I, stage II, and stage III/IV NSCLC was 86%, 65%, 75%, and 87%, respectively; the specificity was 95%, 94%, 88%, and 93%, respectively; and the overall accuracy rate was 92% (71/77).
CONCLUSION: The laser Raman spectroscopy can effectively identify patients with stage I, stage II or stage III/IV Non-Small Cell Lung cancer using patient serum samples.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Non-small cell lung cancer (NSCLC); Serum laser Raman spectroscopy

Mesh:

Substances:

Year:  2018        PMID: 29729529     DOI: 10.1016/j.saa.2018.04.002

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  5 in total

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2.  SERS-based differential diagnosis between multiple solid malignancies: breast, colorectal, lung, ovarian and oral cancer.

Authors:  Vlad Moisoiu; Andrei Stefancu; Diana Gulei; Radu Boitor; Lorand Magdo; Lajos Raduly; Sergiu Pasca; Paul Kubelac; Nikolay Mehterov; Vasile Chiș; Marioara Simon; Mihai Muresan; Alexandra Iulia Irimie; Mihaela Baciut; Rares Stiufiuc; Ioana E Pavel; Patriciu Achimas-Cadariu; Calin Ionescu; Vladimir Lazar; Victoria Sarafian; Ioan Notingher; Nicolae Leopold; Ioana Berindan-Neagoe
Journal:  Int J Nanomedicine       Date:  2019-08-02

3.  Human red blood cell behaviour in hydroxyethyl starch: probed by single cell spectroscopy.

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Journal:  RSC Adv       Date:  2020-08-26       Impact factor: 4.036

4.  Rapid label-free detection of cholangiocarcinoma from human serum using Raman spectroscopy.

Authors:  Peeraya Suksuratin; Rutchanee Rodpai; Vor Luvira; Pewpan M Intapan; Wanchai Maleewong; Oranat Chuchuen
Journal:  PLoS One       Date:  2022-10-13       Impact factor: 3.752

5.  The accuracy of Raman spectroscopy in the diagnosis of lung cancer: a systematic review and meta-analysis.

Authors:  Cong Chen; Jianqi Hao; Xiaohu Hao; Wenying Xu; Congjia Xiao; Jian Zhang; Qiang Pu; Lunxu Liu
Journal:  Transl Cancer Res       Date:  2021-08       Impact factor: 1.241

  5 in total

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