Literature DB >> 20510197

Plasma proteomic analysis may identify new markers for radiation-induced lung toxicity in patients with non-small-cell lung cancer.

Xu-Wei Cai1, Kerby Shedden, Xiaoping Ao, Mary Davis, Xiao-Long Fu, Theodore S Lawrence, David M Lubman, Feng-Ming Spring Kong.   

Abstract

PURPOSE: To study whether radiation induces differential changes in plasma proteomics in patients with and without radiation-induced lung toxicity (RILT) of Grade >/=2 (RILT2). METHODS AND MATERIALS: A total of 57 patients with NSCLC received radiation therapy (RT) were eligible. Twenty patients, 6 with RILT2 with tumor stage matched to 14 without RILT2, were enrolled for this analysis. Platelet-poor plasma was obtained before RT, at 2, 4, 6 weeks during RT, and 1 and 3 months after RT. Plasma proteomes were compared using a multiplexed quantitative proteomics approach involving ExacTag labeling, reverse-phase high-performance liquid chromatography and nano-LC electrospray tandem mass spectrometry. Variance components models were used to identify the differential protein expression between patients with and without RILT2.
RESULTS: More than 100 proteins were identified and quantified. After excluding proteins for which there were not at least 2 subjects with data for at least two time points, 76 proteins remained for this preliminary analysis. C4b-binding protein alpha chain, Complement C3, and Vitronectin had significantly higher expression levels in patients with RILT2 compared with patients without RILT2, based on both the data sets of RT start to 3 months post-RT (p < 0.01) and RT start to the end of RT (p < 0.01). The expression ratios of patients with RILT2 vs. without RILT2 were 1.60, 1.36, 1.46, and 1.66, 1.34, 1.46, for the above three proteins, respectively.
CONCLUSIONS: This proteomic approach identified new plasma protein markers for future studies on RILT prediction. (c) 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20510197     DOI: 10.1016/j.ijrobp.2010.01.038

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  8 in total

Review 1.  Nondosimetric risk factors for radiation-induced lung toxicity.

Authors:  Feng-Ming Spring Kong; Shulian Wang
Journal:  Semin Radiat Oncol       Date:  2014-12-15       Impact factor: 5.934

2.  Analyzing the Effect of Vitronectin on Cell Growth and Mesenchymal-Epithelial Transition of Pulmonary Fibroblast Cells.

Authors:  Ya Zeng; Jiahua Yu; Mina Liu; Qin Zhang; Xuwei Cai
Journal:  Lung       Date:  2021-08-20       Impact factor: 2.584

Review 3.  Blood-based biomarkers for precision medicine in lung cancer: precision radiation therapy.

Authors:  Dirk De Ruysscher; Jianyue Jin; Tim Lautenschlaeger; Jin-Xiong She; Zhongxing Liao; Feng-Ming Spring Kong
Journal:  Transl Lung Cancer Res       Date:  2017-12

4.  Ensuring sample quality for blood biomarker studies in clinical trials: a multicenter international study for plasma and serum sample preparation.

Authors:  Feng-Ming Spring Kong; Lujun Zhao; Luhua Wang; Yuhchyau Chen; Jie Hu; Xiaolong Fu; Chunxue Bai; Li Wang; Theodore S Lawrence; Mitchell S Anscher; Adam Dicker; Paul Okunieff
Journal:  Transl Lung Cancer Res       Date:  2017-12

5.  Partial-Body Irradiation in Patients with Prostate Cancer Treated with IMRT Has Little Effect on the Composition of Serum Proteome.

Authors:  Monika Pietrowska; Karol Jelonek; Joanna Polanska; Anna Wojakowska; Lukasz Marczak; Ewa Chawinska; Aleksanda Chmura; Wojciech Majewski; Leszek Miszczyk; Piotr Widlak
Journal:  Proteomes       Date:  2015-06-30

6.  Quantitative proteomic analysis reveals AK2 as potential biomarker for late normal tissue radiotoxicity.

Authors:  Jérôme Lacombe; Muriel Brengues; Alain Mangé; Céline Bourgier; Sophie Gourgou; André Pèlegrin; Mahmut Ozsahin; Jérôme Solassol; David Azria
Journal:  Radiat Oncol       Date:  2019-08-09       Impact factor: 3.481

7.  Profiling of low molecular weight proteins in plasma from locally irradiated individuals.

Authors:  Reetta Nylund; Elina Lemola; Sonja Hartwig; Stefan Lehr; Anna Acheva; Jutta Jahns; Guido Hildebrandt; Carita Lindholm
Journal:  J Radiat Res       Date:  2014-02-24       Impact factor: 2.724

8.  The Possibility of Using Genotoxicity, Oxidative Stress and Inflammation Blood Biomarkers to Predict the Occurrence of Late Cutaneous Side Effects after Radiotherapy.

Authors:  Samia Chaouni; Delphine Dumont Lecomte; Dinu Stefan; Alexandre Leduc; Victor Barraux; Alexandra Leconte; Jean-Michel Grellard; Jean-Louis Habrand; Marilyne Guillamin; François Sichel; Carine Laurent
Journal:  Antioxidants (Basel)       Date:  2020-03-07
  8 in total

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