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Article: Circulating microRNAs as biomarkers of radiation-induced cardiac toxicity in non-small-cell lung cancer
Title | Circulating microRNAs as biomarkers of radiation-induced cardiac toxicity in non-small-cell lung cancer |
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Authors | |
Issue Date | 28-Mar-2019 |
Publisher | Springer |
Citation | Journal of Cancer Research and Clinical Oncology, 2019, v. 145, p. 1635-1643 How to Cite? |
Abstract | PurposeRadiation-induced cardiac toxicity (RICT) is an increasingly well-appreciated source of morbidity and mortality in patients receiving thoracic radiotherapy (RT). Currently available methods to predict RICT are suboptimal. We investigated circulating microRNAs (c-miRNAs) as potential biomarkers of RICT in patients undergoing definitive RT for non-small-cell lung cancer (NSCLC). MethodsData from 63 patients treated on institutional trials were analyzed. Prognostic models of grade 3 or greater (G3 +) RICT based on pre-treatment c-miRNA levels (‘c-miRNA’), mean heart dose (MHD) and pre-existing cardiac disease (PCD) (‘clinical’), and a combination of these (‘c-miRNA + clinical’) were developed. Elastic net Cox regression and full cross validation were used for variable selection, model building, and model evaluation. Concordance statistic (c-index) and integrated Brier score (IBS) were used to evaluate model performance. ResultsMHD, PCD, and serum levels of 14 c-miRNA species were identified as jointly prognostic for G3 + RICT. The ‘c-miRNA and ‘clinical’ models yielded similar cross-validated c-indices (0.70 and 0.72, respectively) and IBSs (0.26 and 0.28, respectively). However, prognostication was not improved by combining c-miRNA and clinical factors (c-index 0.70, IBS 0.28). The ‘c-miRNA’ and ‘clinical’ models were able to significantly stratify patients into high- and low-risk groups of developing G3 + RICT. Chi-square testing demonstrated a marginally significantly higher prevalence of PCD in patients with high- compared to low-risk c-miRNA profile (p = 0.09), suggesting an association between some c-miRNAs and PCD. ConclusionsWe identified a pre-treatment c-miRNA signature prognostic for G3 + RICT. With further development, pre- and mid-treatment c-miRNA profiling could contribute to patient-specific dose selection and treatment adaptation. |
Persistent Identifier | http://hdl.handle.net/10722/344080 |
ISSN | 2023 Impact Factor: 2.7 2023 SCImago Journal Rankings: 1.023 |
DC Field | Value | Language |
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dc.contributor.author | Hawkins, Peter G | - |
dc.contributor.author | Sun, Yilun | - |
dc.contributor.author | Dess, Robert T | - |
dc.contributor.author | Jackson, William C | - |
dc.contributor.author | Sun, Grace | - |
dc.contributor.author | Bi, Nan | - |
dc.contributor.author | Tewari, Muneesh | - |
dc.contributor.author | Hayman, James A | - |
dc.contributor.author | Kalemkerian, Gregory P | - |
dc.contributor.author | Gadgeel, Shirish M | - |
dc.contributor.author | Lawrence, Theodore S | - |
dc.contributor.author | Haken, Randall K Ten | - |
dc.contributor.author | Matuszak, Martha M | - |
dc.contributor.author | Kong, Feng-Ming | - |
dc.contributor.author | Schipper, Matthew J | - |
dc.contributor.author | Jolly, Shruti | - |
dc.date.accessioned | 2024-06-27T09:07:01Z | - |
dc.date.available | 2024-06-27T09:07:01Z | - |
dc.date.issued | 2019-03-28 | - |
dc.identifier.citation | Journal of Cancer Research and Clinical Oncology, 2019, v. 145, p. 1635-1643 | - |
dc.identifier.issn | 0171-5216 | - |
dc.identifier.uri | http://hdl.handle.net/10722/344080 | - |
dc.description.abstract | <h3>Purpose</h3><p>Radiation-induced cardiac toxicity (RICT) is an increasingly well-appreciated source of morbidity and mortality in patients receiving thoracic radiotherapy (RT). Currently available methods to predict RICT are suboptimal. We investigated circulating microRNAs (c-miRNAs) as potential biomarkers of RICT in patients undergoing definitive RT for non-small-cell lung cancer (NSCLC).</p><h3>Methods</h3><p>Data from 63 patients treated on institutional trials were analyzed. Prognostic models of grade 3 or greater (G3 +) RICT based on pre-treatment c-miRNA levels (‘c-miRNA’), mean heart dose (MHD) and pre-existing cardiac disease (PCD) (‘clinical’), and a combination of these (‘c-miRNA + clinical’) were developed. Elastic net Cox regression and full cross validation were used for variable selection, model building, and model evaluation. Concordance statistic (c-index) and integrated Brier score (IBS) were used to evaluate model performance.</p><h3>Results</h3><p>MHD, PCD, and serum levels of 14 c-miRNA species were identified as jointly prognostic for G3 + RICT. The ‘c-miRNA and ‘clinical’ models yielded similar cross-validated c-indices (0.70 and 0.72, respectively) and IBSs (0.26 and 0.28, respectively). However, prognostication was not improved by combining c-miRNA and clinical factors (c-index 0.70, IBS 0.28). The ‘c-miRNA’ and ‘clinical’ models were able to significantly stratify patients into high- and low-risk groups of developing G3 + RICT. Chi-square testing demonstrated a marginally significantly higher prevalence of PCD in patients with high- compared to low-risk c-miRNA profile (<em>p</em> = 0.09), suggesting an association between some c-miRNAs and PCD.</p><h3>Conclusions</h3><p>We identified a pre-treatment c-miRNA signature prognostic for G3 + RICT. With further development, pre- and mid-treatment c-miRNA profiling could contribute to patient-specific dose selection and treatment adaptation.</p> | - |
dc.language | eng | - |
dc.publisher | Springer | - |
dc.relation.ispartof | Journal of Cancer Research and Clinical Oncology | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Circulating microRNAs as biomarkers of radiation-induced cardiac toxicity in non-small-cell lung cancer | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/s00432-019-02903-5 | - |
dc.identifier.volume | 145 | - |
dc.identifier.spage | 1635 | - |
dc.identifier.epage | 1643 | - |
dc.identifier.eissn | 1432-1335 | - |
dc.identifier.issnl | 0171-5216 | - |