Literature DB >> 17762437

Can serum markers be used to predict acute and late toxicity in patients with lung cancer? Analysis of RTOG 91-03.

William F Hartsell1, Charles B Scott, George S Dundas, Mohammed Mohiuddin, Ruby F Meredith, Philip Rubin, Irving J Weigensberg.   

Abstract

PURPOSE: To identify factors that are predictive of satisfactory acute and long-term pulmonary tolerance of definitive irradiation and, conversely, factors that are predictive of excessive impairment of pulmonary functions. To determine if there is any correlation between early elevation of biochemical markers obtained in blood of irradiated patients and subsequent pulmonary abnormalities as detected by clinical findings, pulmonary function tests, and/or radiographic findings of pneumonitis/fibrosis.
MATERIALS AND METHODS: This was a multi-institutional prospective trial sponsored by the Radiation Therapy Oncology Group. Eligible patients had surgically unresectable or medically inoperable stage II or III non-small cell lung cancer. Pretreatment evaluation included baseline dyspnea index (BDI) and pulmonary function tests (PFT). Radiation therapy consisted of once-daily treatment with 2 Gy to a total of 60 to 66 Gy. A quantitative nuclear medicine perfusion study was correlated to the radiation therapy portals to assess the proportion of lung irradiated. Blood for serum markers (surfactant apoprotein, procollagen type III, interleukin [IL]-1, interleukin-6, and tumor necrosis factor-alpha) was drawn prior to the beginning of radiation therapy and then weekly during treatment (at 10, 20, 30, 40, 50, and 60 Gy). Post-treatment follow-up included PFT every 3 months for 1 year and then annually. The BDI was reevaluated at the same intervals.
RESULTS: There were 127 analyzable patients. Squamous cell carcinoma was the predominant histology and 93% of the patients had AJCC stage III disease. The median survival time is 10.9 months with 43% of patients living 1 year and 10% living 3 years. Grade >or=2 acute lung toxicity was seen in 18% of patients; patients least likely to develop lung toxicity are those with undetectable levels of IL-6 at 10 Gy and diffusing capacity of the lung for carbon monoxide percent (DLCO%) >54. Patients most likely to develop acute toxicity are those with elevated IL-6 and age >60 years. Grade >or=2 late lung toxicity was seen in 30% of patients. Karnofsky performance status was the only pretreatment factor predictive of late lung toxicity. The proportion of lung within the irradiated field, BDI indices, physician-assessed baseline dyspnea, and baseline PFT were not predictive of pulmonary toxicity. Using grade >or=2 toxicity as an event, age >60 years, gender, and a surfactant level <797 at 20 Gy were predictive of late lung toxicity.
CONCLUSIONS: Elevated levels of serum IL-6 after 10 Gy of lung irradiation appear to predict grade >or=2 acute lung toxicity, and high serum levels of surfactant apoproteins at 20 Gy correlated with grade >or=2 late pulmonary toxicity. These findings need to be confirmed but could be useful in a model to predict risk of pulmonary injury with high doses of radiation. For future studies, it is necessary to evaluate serum markers at multiple time-points during treatment, and quality control is critical during the collection, storage, and analysis of these serum markers.

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Year:  2007        PMID: 17762437     DOI: 10.1097/01.coc.0000260950.44761.74

Source DB:  PubMed          Journal:  Am J Clin Oncol        ISSN: 0277-3732            Impact factor:   2.339


  23 in total

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Review 2.  Molecular markers to predict clinical outcome and radiation induced toxicity in lung cancer.

Authors:  Joshua D Palmer; Nicholas G Zaorsky; Matthew Witek; Bo Lu
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3.  The Complementary Nature of Patient-Reported Outcomes and Adverse Event Reporting in Cooperative Group Oncology Clinical Trials: A Pooled Analysis (NCCTG N0591).

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4.  Utility of the ACE Inhibitor Captopril in Mitigating Radiation-associated Pulmonary Toxicity in Lung Cancer: Results From NRG Oncology RTOG 0123.

Authors:  William Small; Jennifer L James; Timothy D Moore; Dan J Fintel; Stephen T Lutz; Benjamin Movsas; Mohan Suntharalingam; Yolanda I Garces; Robert Ivker; John Moulder; Stephanie Pugh; Lawrence B Berk
Journal:  Am J Clin Oncol       Date:  2018-04       Impact factor: 2.339

5.  Combining multiple models to generate consensus: application to radiation-induced pneumonitis prediction.

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Authors:  Carl N Sprung; Alesia Ivashkevich; Helen B Forrester; Christophe E Redon; Alexandros Georgakilas; Olga A Martin
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7.  Lipopolysaccharide-binding protein is efficient in biodosimetry during radiotherapy of lung cancer.

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Review 8.  Radiation-related treatment effects across the age spectrum: differences and similarities or what the old and young can learn from each other.

Authors:  Matthew J Krasin; Louis S Constine; Debra L Friedman; Lawrence B Marks
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Review 9.  Biologically conformal treatment: biomarkers and functional imaging in radiation oncology.

Authors:  Yaacov Richard Lawrence; Maria Werner-Wasik; Adam P Dicker
Journal:  Future Oncol       Date:  2008-10       Impact factor: 3.404

10.  The TGF-beta1 dynamics during radiation therapy and its correlation to symptomatic radiation pneumonitis in lung cancer patients.

Authors:  Ji-Yoon Kim; Yeon-Sil Kim; Young-Kyoon Kim; Hyun-Jin Park; Seung-Joon Kim; Jin-Hyoung Kang; Young-Pil Wang; Hong-Seok Jang; Sang-Nam Lee; Sei-Chul Yoon
Journal:  Radiat Oncol       Date:  2009-11-27       Impact factor: 3.481

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