VSports app下载 - Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The . gov means it’s official. Federal government websites often end in . gov or VSports app下载. mil. Before sharing sensitive information, make sure you’re on a federal government site. .

Https

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely V体育官网. .

. 2010 Nov 23:10:640.
doi: 10.1186/1471-2407-10-640.

V体育ios版 - Evaluation of FTIR spectroscopy as a diagnostic tool for lung cancer using sputum

Paul D Lewis  1 , Keir E Lewis, Robin Ghosal, Sion Bayliss, Amanda J Lloyd, John Wills, Ruth Godfrey, Philip Kloer, Luis A J Mur
Affiliations

Evaluation of FTIR spectroscopy as a diagnostic tool for lung cancer using sputum (VSports最新版本)

Paul D Lewis et al. BMC Cancer. .

Abstract

Background: Survival time for lung cancer is poor with over 90% of patients dying within five years of diagnosis primarily due to detection at late stage. The main objective of this study was to evaluate Fourier transform infrared spectroscopy (FTIR) as a high throughput and cost effective method for identifying biochemical changes in sputum as biomarkers for detection of lung cancer VSports手机版. .

Methods: Sputum was collected from 25 lung cancer patients in the Medlung observational study and 25 healthy controls V体育安卓版. FTIR spectra were generated from sputum cell pellets using infrared wavenumbers within the 1800 to 950 cm-1 "fingerprint" region. .

Results: A panel of 92 infrared wavenumbers had absorbances significantly different between cancer and normal sputum spectra and were associated with putative changes in protein, nucleic acid and glycogen levels in tumours. Five prominent significant wavenumbers at 964 cm-1, 1024 cm-1, 1411 cm-1, 1577 cm-1 and 1656 cm-1 separated cancer spectra from normal spectra into two distinct groups using multivariate analysis (group 1: 100% cancer cases; group 2: 92% normal cases). Principal components analysis revealed that these wavenumbers were also able to distinguish lung cancer patients who had previously been diagnosed with breast cancer. No patterns of spectra groupings were associated with inflammation or other diseases of the airways. V体育ios版.

Conclusions: Our results suggest that FTIR applied to sputum might have high sensitivity and specificity in diagnosing lung cancer with potential as a non-invasive, cost-effective and high-throughput method for screening. VSports最新版本.

Trial registration: ClinicalTrials. gov: NCT00899262. V体育平台登录.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Raw example FTIR spectra for cancer and normal sputum. Raw example FTIR spectra between wavenumbers 950 cm-1 and 1800 cm-1 for (A) cancer sputum and (B) normal sputum. (C) Median raw spectra for cancer and normal sputa. (D) Second derivative spectra for cancer and normal sputa.
Figure 2
Figure 2
Median second derivative spectra and significant wavenumbers. (A) Median second derivative spectra for cancer and normal sputum. Six major significant peaks are identified (A-F) as described in Table 1. (B) Positions of 92 peaks statistically significant between cancer and normal spectra. Each peak is ranked according to p-value where the lowest p-value attained the highest rank of 1.
Figure 3
Figure 3
HCA of prominent significant wavenumbers. Dendrogram showing general and sub-clusters of lung cancer (C) and normal (N) sputum spectra produced by HCA using significant panel of wavenumbers. Supplementary information for samples are provided at the bottom of the plot: y = smoker, n = never-smoker, x = ex smoker, Previous diagnoses of other cancers are also labelled: * = breast, ‡ = larynx and bladder, † = colorectal. Normal cases who had stated that they had a cough prior to providing sputum are labelled with ■.
Figure 4
Figure 4
PCA of prominent significant wavenumbers. Plots produced after application of PCA to the panel of significant wavenumbers. (A) Scree plot showing the number of components to retain explaining at least 5% of the variation. The first 3 components explain 95% variance. Scatterplots of the loadings of each cancer (C) and normal (N) sputum spectrum on: (B) components 1 (PC1) and 2 (PC2); (C) components 1 and 3 (PC3); (D) components 2 and 3.
See this image and copyright information in PMC

References

    1. Cancer, Fact Sheets, World Health Organization. 2009. http://www.who.int/mediacentre/factsheets/fs297/en/
    1. Cancer Stats, Mortality-UK Cancer Research UK. 2006. http://info.cancerresearchuk.org/cancerstats/types/lung/
    1. Peto R, Lopez AD, Boreham J, Thun M, Heath C, Jr, Doll R. Mortality from smoking in developed countries 1950-2000: Indirect estimates from National Vital Statistics. Oxford University Press; 2006.
    1. Sutedja G. New techniques for early detection of lung cancer. Eur Respir J. 2003;21:57S–66S. doi: 10.1183/09031936.03.00405303. - DOI - PubMed
    1. Field JK, Duffy SW. Lung cancer screening: the way forward. Br J Cancer. 2008;99:557–62. doi: 10.1038/sj.bjc.6604509. - VSports手机版 - DOI - PMC - PubMed

"VSports手机版" Publication types

MeSH terms (VSports手机版)

Substances

VSports手机版 - Associated data