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Article: Plasma Proteomic Analysis May Identify New Markers for Radiation-Induced Lung Toxicity in Patients With Non-Small-Cell Lung Cancer

TitlePlasma Proteomic Analysis May Identify New Markers for Radiation-Induced Lung Toxicity in Patients With Non-Small-Cell Lung Cancer
Authors
Keywordsproteomics
radiation-induced lung toxicity
biomarker
Non-small-cell lung cancer
Issue Date2010
Citation
International Journal of Radiation Oncology Biology Physics, 2010, v. 77, n. 3, p. 867-876 How to Cite?
AbstractPurpose: 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.
Persistent Identifierhttp://hdl.handle.net/10722/266905
ISSN
2023 Impact Factor: 6.4
2023 SCImago Journal Rankings: 1.992
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorCai, Xu Wei-
dc.contributor.authorShedden, Kerby-
dc.contributor.authorAo, Xiaoping-
dc.contributor.authorDavis, Mary-
dc.contributor.authorFu, Xiao Long-
dc.contributor.authorLawrence, Theodore S.-
dc.contributor.authorLubman, David M.-
dc.contributor.authorKong, Feng Ming (Spring)-
dc.date.accessioned2019-01-31T07:19:56Z-
dc.date.available2019-01-31T07:19:56Z-
dc.date.issued2010-
dc.identifier.citationInternational Journal of Radiation Oncology Biology Physics, 2010, v. 77, n. 3, p. 867-876-
dc.identifier.issn0360-3016-
dc.identifier.urihttp://hdl.handle.net/10722/266905-
dc.description.abstractPurpose: 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.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Radiation Oncology Biology Physics-
dc.subjectproteomics-
dc.subjectradiation-induced lung toxicity-
dc.subjectbiomarker-
dc.subjectNon-small-cell lung cancer-
dc.titlePlasma Proteomic Analysis May Identify New Markers for Radiation-Induced Lung Toxicity in Patients With Non-Small-Cell Lung Cancer-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.ijrobp.2010.01.038-
dc.identifier.pmid20510197-
dc.identifier.scopuseid_2-s2.0-77952618694-
dc.identifier.volume77-
dc.identifier.issue3-
dc.identifier.spage867-
dc.identifier.epage876-
dc.identifier.isiWOS:000278741800033-
dc.identifier.issnl0360-3016-

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