Early Detection of Non-Small Cell Lung Cancer by Using a 12-microRNA Panel and a Nomogram for Assistant Diagnosis
Background: We previously identified a 12-microRNA (miRNA) panel (miRNA-17, miRNA-146a, miRNA-200b, miRNA-182, miRNA-155, miRNA-221, miRNA-205, miRNA-126, miRNA-7, miRNA-21, miRNA-145, and miRNA-210) that aided in the early diagnosis of non-small cell lung cancer (NSCLC). We validated the diagnostic...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-06-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fonc.2020.00855/full |
| _version_ | 1819106696463646720 |
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| author | Weidong Wang Weidong Wang Weidong Wang Dongni Chen Dongni Chen Weiwei Chen Weiwei Chen Ziya Xin Ziya Xin Zirui Huang Zirui Huang Xuewen Zhang Xuewen Zhang Kexing Xi Gongming Wang Gongming Wang Rusi Zhang Rusi Zhang Dechang Zhao Dechang Zhao Li Liu Li Liu Lanjun Zhang Lanjun Zhang |
| author_facet | Weidong Wang Weidong Wang Weidong Wang Dongni Chen Dongni Chen Weiwei Chen Weiwei Chen Ziya Xin Ziya Xin Zirui Huang Zirui Huang Xuewen Zhang Xuewen Zhang Kexing Xi Gongming Wang Gongming Wang Rusi Zhang Rusi Zhang Dechang Zhao Dechang Zhao Li Liu Li Liu Lanjun Zhang Lanjun Zhang |
| author_sort | Weidong Wang |
| collection | DOAJ |
| description | Background: We previously identified a 12-microRNA (miRNA) panel (miRNA-17, miRNA-146a, miRNA-200b, miRNA-182, miRNA-155, miRNA-221, miRNA-205, miRNA-126, miRNA-7, miRNA-21, miRNA-145, and miRNA-210) that aided in the early diagnosis of non-small cell lung cancer (NSCLC). We validated the diagnostic value of this miRNA panel and compared it with that of traditional tumor markers and radiological diagnosis. We constructed a nomogram based on the miRNA panel's results to predict the risk of NSCLC.Methods: Eighty-two participants with pulmonary nodules on a CT scan and who underwent a pathological examination and surgical treatment were enrolled in our study. Patients were randomly divided into a training group or a validation group. The miRNA concentrations were quantified by RT-PCR and log-transformed for analysis. The cutoff value was determined in the training group and then applied in the validation group. A comparison between the miRNAs and traditional tumor markers [CEA, NSE, and cytokeratin 19 fragment 21-1 (Cyfra21-1)] and radiological diagnosis was performed. A nomogram based on the miRNA panel's results to predict the risk of NSCLC was constructed.Results: The expression level of these 12 miRNAs was significantly higher in NSCLC patients than in benign patients. In the validation group, the specificity and positive predictive value were 96.4 and 95.8%, respectively, which were significantly higher than those using traditional tumor markers or radiological diagnosis. The sensitivity was 42.6%, which was also higher than that using tumor markers. Moreover, the sensitivity increased to 63.6% when the nodule diameters were larger than 2 cm. The miRNAs and seven clinical factors were integrated into the nomogram, and the calibration curves showed optimal agreement between the predicted and actual probabilities.Conclusions: Our miRNA panel has clinical value for the early detection of NSCLC. A nomogram was constructed and internally validated, and the results indicate that it can assist clinicians in making treatment recommendations in the clinic. |
| first_indexed | 2024-12-22T02:42:15Z |
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| id | doaj.art-55eb4739eb7c4fb98b196a0ae27cd669 |
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| language | English |
| last_indexed | 2024-12-22T02:42:15Z |
| publishDate | 2020-06-01 |
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| series | Frontiers in Oncology |
| spelling | doaj.art-55eb4739eb7c4fb98b196a0ae27cd6692022-12-21T18:41:36ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-06-011010.3389/fonc.2020.00855536123Early Detection of Non-Small Cell Lung Cancer by Using a 12-microRNA Panel and a Nomogram for Assistant DiagnosisWeidong Wang0Weidong Wang1Weidong Wang2Dongni Chen3Dongni Chen4Weiwei Chen5Weiwei Chen6Ziya Xin7Ziya Xin8Zirui Huang9Zirui Huang10Xuewen Zhang11Xuewen Zhang12Kexing Xi13Gongming Wang14Gongming Wang15Rusi Zhang16Rusi Zhang17Dechang Zhao18Dechang Zhao19Li Liu20Li Liu21Lanjun Zhang22Lanjun Zhang23Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaDepartment of Thoracic Surgery, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, ChinaDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaDepartment of Anesthesiology, Sun Yat-sen University Cancer Center, Guangzhou, ChinaDepartment of Colorectal Surgery, Peking Union Medical College, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaBackground: We previously identified a 12-microRNA (miRNA) panel (miRNA-17, miRNA-146a, miRNA-200b, miRNA-182, miRNA-155, miRNA-221, miRNA-205, miRNA-126, miRNA-7, miRNA-21, miRNA-145, and miRNA-210) that aided in the early diagnosis of non-small cell lung cancer (NSCLC). We validated the diagnostic value of this miRNA panel and compared it with that of traditional tumor markers and radiological diagnosis. We constructed a nomogram based on the miRNA panel's results to predict the risk of NSCLC.Methods: Eighty-two participants with pulmonary nodules on a CT scan and who underwent a pathological examination and surgical treatment were enrolled in our study. Patients were randomly divided into a training group or a validation group. The miRNA concentrations were quantified by RT-PCR and log-transformed for analysis. The cutoff value was determined in the training group and then applied in the validation group. A comparison between the miRNAs and traditional tumor markers [CEA, NSE, and cytokeratin 19 fragment 21-1 (Cyfra21-1)] and radiological diagnosis was performed. A nomogram based on the miRNA panel's results to predict the risk of NSCLC was constructed.Results: The expression level of these 12 miRNAs was significantly higher in NSCLC patients than in benign patients. In the validation group, the specificity and positive predictive value were 96.4 and 95.8%, respectively, which were significantly higher than those using traditional tumor markers or radiological diagnosis. The sensitivity was 42.6%, which was also higher than that using tumor markers. Moreover, the sensitivity increased to 63.6% when the nodule diameters were larger than 2 cm. The miRNAs and seven clinical factors were integrated into the nomogram, and the calibration curves showed optimal agreement between the predicted and actual probabilities.Conclusions: Our miRNA panel has clinical value for the early detection of NSCLC. A nomogram was constructed and internally validated, and the results indicate that it can assist clinicians in making treatment recommendations in the clinic.https://www.frontiersin.org/article/10.3389/fonc.2020.00855/fullnon-small cell lung cancermiRNAnomogramliquid biopsyearly diagnosis |
| spellingShingle | Weidong Wang Weidong Wang Weidong Wang Dongni Chen Dongni Chen Weiwei Chen Weiwei Chen Ziya Xin Ziya Xin Zirui Huang Zirui Huang Xuewen Zhang Xuewen Zhang Kexing Xi Gongming Wang Gongming Wang Rusi Zhang Rusi Zhang Dechang Zhao Dechang Zhao Li Liu Li Liu Lanjun Zhang Lanjun Zhang Early Detection of Non-Small Cell Lung Cancer by Using a 12-microRNA Panel and a Nomogram for Assistant Diagnosis Frontiers in Oncology non-small cell lung cancer miRNA nomogram liquid biopsy early diagnosis |
| title | Early Detection of Non-Small Cell Lung Cancer by Using a 12-microRNA Panel and a Nomogram for Assistant Diagnosis |
| title_full | Early Detection of Non-Small Cell Lung Cancer by Using a 12-microRNA Panel and a Nomogram for Assistant Diagnosis |
| title_fullStr | Early Detection of Non-Small Cell Lung Cancer by Using a 12-microRNA Panel and a Nomogram for Assistant Diagnosis |
| title_full_unstemmed | Early Detection of Non-Small Cell Lung Cancer by Using a 12-microRNA Panel and a Nomogram for Assistant Diagnosis |
| title_short | Early Detection of Non-Small Cell Lung Cancer by Using a 12-microRNA Panel and a Nomogram for Assistant Diagnosis |
| title_sort | early detection of non small cell lung cancer by using a 12 microrna panel and a nomogram for assistant diagnosis |
| topic | non-small cell lung cancer miRNA nomogram liquid biopsy early diagnosis |
| url | https://www.frontiersin.org/article/10.3389/fonc.2020.00855/full |
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