Plasma microRNAs as Biomarkers for Predicting Radiotherapy Treatment-Induced Cardiotoxicity in Lung Cancer
<b>Background:</b> Lung cancer is the second most common malignancy and stands as a leading cause of cancer-related deaths worldwide. Currently, one of the main treatment options for lung cancer is radiotherapy, but this treatment is associated with complications, such as an increased ri...
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MDPI AG
2024-12-01
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| author | Paulina Kazlauskaitė Ieva Vaicekauskaitė Jonas Venius Rasa Sabaliauskaitė Rita Steponavičienė |
| author_facet | Paulina Kazlauskaitė Ieva Vaicekauskaitė Jonas Venius Rasa Sabaliauskaitė Rita Steponavičienė |
| author_sort | Paulina Kazlauskaitė |
| collection | DOAJ |
| description | <b>Background:</b> Lung cancer is the second most common malignancy and stands as a leading cause of cancer-related deaths worldwide. Currently, one of the main treatment options for lung cancer is radiotherapy, but this treatment is associated with complications, such as an increased risk of cardiac-related morbidity and mortality. However, currently available methods for predicting radiation-induced heart disease (RIHD) remain suboptimal. <b>Methods:</b> In this pilot study, using the RT-qPCR method, we analyzed the expression levels of six miRNAs (miRNA-1-3p, miRNA-21-5p, miRNA-24-3p, miRNA-29a-3p, miRNA-34a-5p, and miRNA-222-3p). <b>Results:</b> Fourteen pairs of locally advanced non-small-cell lung cancer patients’ plasma samples, taken before and after radiotherapy, were examined. It was observed that miRNA-1-3p, miRNA-21-5p, miRNA-24-3p, miRNA-29a-3p, and miRNA-222-3p were downregulated, while miRNA-34a-5p was upregulated in lung cancer patients’ plasma after treatment. Additionally, after definitive radiotherapy, patients with an increased NT-proBNP value displayed a statistically significant difference in miRNA-222-3p levels compared to the normal range of this indicator. The panel of the combined four miRNAs for assessing the risk of cardiac comorbidities demonstrated an AUC of 0.79, sensitivity of 71.43%, and specificity of 100%, with further improved values upon integration with clinical biomarker NT-proBNP. <b>Conclusions:</b> This pilot study shows that the identification of changes in miRNA expression levels in lung cancer patients’ plasma before and after radiotherapy could be used for the early diagnosis of RIHD. |
| format | Article |
| id | doaj-art-5659d0df986640a4b6cfa1fc97e76971 |
| institution | Kabale University |
| issn | 2075-1729 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Life |
| spelling | doaj-art-5659d0df986640a4b6cfa1fc97e769712024-12-27T14:36:07ZengMDPI AGLife2075-17292024-12-011412161910.3390/life14121619Plasma microRNAs as Biomarkers for Predicting Radiotherapy Treatment-Induced Cardiotoxicity in Lung CancerPaulina Kazlauskaitė0Ieva Vaicekauskaitė1Jonas Venius2Rasa Sabaliauskaitė3Rita Steponavičienė4National Cancer Institute, 08406 Vilnius, LithuaniaNational Cancer Institute, 08406 Vilnius, LithuaniaNational Cancer Institute, 08406 Vilnius, LithuaniaNational Cancer Institute, 08406 Vilnius, LithuaniaNational Cancer Institute, 08406 Vilnius, Lithuania<b>Background:</b> Lung cancer is the second most common malignancy and stands as a leading cause of cancer-related deaths worldwide. Currently, one of the main treatment options for lung cancer is radiotherapy, but this treatment is associated with complications, such as an increased risk of cardiac-related morbidity and mortality. However, currently available methods for predicting radiation-induced heart disease (RIHD) remain suboptimal. <b>Methods:</b> In this pilot study, using the RT-qPCR method, we analyzed the expression levels of six miRNAs (miRNA-1-3p, miRNA-21-5p, miRNA-24-3p, miRNA-29a-3p, miRNA-34a-5p, and miRNA-222-3p). <b>Results:</b> Fourteen pairs of locally advanced non-small-cell lung cancer patients’ plasma samples, taken before and after radiotherapy, were examined. It was observed that miRNA-1-3p, miRNA-21-5p, miRNA-24-3p, miRNA-29a-3p, and miRNA-222-3p were downregulated, while miRNA-34a-5p was upregulated in lung cancer patients’ plasma after treatment. Additionally, after definitive radiotherapy, patients with an increased NT-proBNP value displayed a statistically significant difference in miRNA-222-3p levels compared to the normal range of this indicator. The panel of the combined four miRNAs for assessing the risk of cardiac comorbidities demonstrated an AUC of 0.79, sensitivity of 71.43%, and specificity of 100%, with further improved values upon integration with clinical biomarker NT-proBNP. <b>Conclusions:</b> This pilot study shows that the identification of changes in miRNA expression levels in lung cancer patients’ plasma before and after radiotherapy could be used for the early diagnosis of RIHD.https://www.mdpi.com/2075-1729/14/12/1619non-small-cell lung cancerRIHDmicroRNA |
| spellingShingle | Paulina Kazlauskaitė Ieva Vaicekauskaitė Jonas Venius Rasa Sabaliauskaitė Rita Steponavičienė Plasma microRNAs as Biomarkers for Predicting Radiotherapy Treatment-Induced Cardiotoxicity in Lung Cancer Life non-small-cell lung cancer RIHD microRNA |
| title | Plasma microRNAs as Biomarkers for Predicting Radiotherapy Treatment-Induced Cardiotoxicity in Lung Cancer |
| title_full | Plasma microRNAs as Biomarkers for Predicting Radiotherapy Treatment-Induced Cardiotoxicity in Lung Cancer |
| title_fullStr | Plasma microRNAs as Biomarkers for Predicting Radiotherapy Treatment-Induced Cardiotoxicity in Lung Cancer |
| title_full_unstemmed | Plasma microRNAs as Biomarkers for Predicting Radiotherapy Treatment-Induced Cardiotoxicity in Lung Cancer |
| title_short | Plasma microRNAs as Biomarkers for Predicting Radiotherapy Treatment-Induced Cardiotoxicity in Lung Cancer |
| title_sort | plasma micrornas as biomarkers for predicting radiotherapy treatment induced cardiotoxicity in lung cancer |
| topic | non-small-cell lung cancer RIHD microRNA |
| url | https://www.mdpi.com/2075-1729/14/12/1619 |
| work_keys_str_mv | AT paulinakazlauskaite plasmamicrornasasbiomarkersforpredictingradiotherapytreatmentinducedcardiotoxicityinlungcancer AT ievavaicekauskaite plasmamicrornasasbiomarkersforpredictingradiotherapytreatmentinducedcardiotoxicityinlungcancer AT jonasvenius plasmamicrornasasbiomarkersforpredictingradiotherapytreatmentinducedcardiotoxicityinlungcancer AT rasasabaliauskaite plasmamicrornasasbiomarkersforpredictingradiotherapytreatmentinducedcardiotoxicityinlungcancer AT ritasteponaviciene plasmamicrornasasbiomarkersforpredictingradiotherapytreatmentinducedcardiotoxicityinlungcancer |