A Nomogram for Predicting Recurrence in Stage I Non‐Small Cell Lung Cancer
ABSTRACT Background Early‐stage non–small cell lung cancer (NSCLC) is being diagnosed increasingly, and in 30% of diagnosed patients, recurrence will develop within 5 years. Thus, it is urgent to identify recurrence‐related markers to optimize the management of patient‐tailored therapeutics. Methods...
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| Format: | Article |
| Language: | English |
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Wiley
2024-11-01
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| Series: | The Clinical Respiratory Journal |
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| Online Access: | https://doi.org/10.1111/crj.70022 |
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| author | Rongrong Bian Feng Zhao Bo Peng Jin Zhang Qixing Mao Lin Wang Qiang Chen |
| author_facet | Rongrong Bian Feng Zhao Bo Peng Jin Zhang Qixing Mao Lin Wang Qiang Chen |
| author_sort | Rongrong Bian |
| collection | DOAJ |
| description | ABSTRACT Background Early‐stage non–small cell lung cancer (NSCLC) is being diagnosed increasingly, and in 30% of diagnosed patients, recurrence will develop within 5 years. Thus, it is urgent to identify recurrence‐related markers to optimize the management of patient‐tailored therapeutics. Methods The eligible datasets were downloaded from TCGA and GEO. In the discovery phase, two algorithms, least absolute shrinkage and selector operation and support vector machine‐recursive feature elimination, were used to identify candidate genes. The recurrence‐associated signature was developed by penalized Cox regression. The nomogram was constructed and further tested via other independent cohorts. Results In this retrospective study, 14 eligible datasets and 7 published signatures were included. A 13‐gene based signature was generated by penalized Cox regression categorized training cohort into high‐risk and low‐risk subgroups (HR = 8.873, 95% CI: 4.228–18.480 p < 0.001). Furthermore, a nomogram integrating the recurrence‐related signature, age, and histology was developed to predict the recurrence‐free survival in the training cohort, which performed well in the two external validation cohorts (concordance index: 0.737, 95% CI: 0.732–0.742, p < 0.001; 0.666, 95% CI: 0.650–0.682, p < 0.001; 0.651, 95% CI: 0.637–0.665, p < 0.001, respectively). The nomogram was further performed well in the Jiangsu cohort enrolled 163 patients (HR = 2.723, 95% CI: 1.526–4.859, p = 0.001). Post‐operative adjuvant therapy achieved evaluated disease‐free survival in high and intermediate risk groups (HR = 4.791, 95% CI: 1.081–21.231, p = 0.039). Conclusions The proposed nomogram is a promising tool for estimating recurrence‐free survival in stage I NSCLC, which might have tremendous value in management of early stage NSCLC and guiding adjuvant therapy strategies. |
| format | Article |
| id | doaj-art-202d87a1a55b4a5fb025ab8b69b6e3e7 |
| institution | Kabale University |
| issn | 1752-6981 1752-699X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Clinical Respiratory Journal |
| spelling | doaj-art-202d87a1a55b4a5fb025ab8b69b6e3e72024-11-25T06:08:37ZengWileyThe Clinical Respiratory Journal1752-69811752-699X2024-11-011811n/an/a10.1111/crj.70022A Nomogram for Predicting Recurrence in Stage I Non‐Small Cell Lung CancerRongrong Bian0Feng Zhao1Bo Peng2Jin Zhang3Qixing Mao4Lin Wang5Qiang Chen6Department of Oncology Nanjing Liuhe District People's Hospital Nanjing ChinaDepartment of Thoracic Surgery Taixing People's Hospital Taixing ChinaDepartment of Thoracic Surgery, Xuzhou Central Hospital XuZhou Clinical School of Xuzhou Medical University Xuzhou Jiangsu ChinaDepartment of Oncology, Department of Geriatric Lung Cancer Laboratory The Affiliated Geriatric Hospital of Nanjing Medical University, Jiangsu Province Geriatric Hospital Nanjing ChinaDepartment of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research Nanjing Medical University Affiliated Cancer Hospital Nanjing ChinaDepartment of Oncology, Department of Geriatric Lung Cancer Laboratory The Affiliated Geriatric Hospital of Nanjing Medical University, Jiangsu Province Geriatric Hospital Nanjing ChinaDepartment of Thoracic Surgery, Xuzhou Central Hospital XuZhou Clinical School of Xuzhou Medical University Xuzhou Jiangsu ChinaABSTRACT Background Early‐stage non–small cell lung cancer (NSCLC) is being diagnosed increasingly, and in 30% of diagnosed patients, recurrence will develop within 5 years. Thus, it is urgent to identify recurrence‐related markers to optimize the management of patient‐tailored therapeutics. Methods The eligible datasets were downloaded from TCGA and GEO. In the discovery phase, two algorithms, least absolute shrinkage and selector operation and support vector machine‐recursive feature elimination, were used to identify candidate genes. The recurrence‐associated signature was developed by penalized Cox regression. The nomogram was constructed and further tested via other independent cohorts. Results In this retrospective study, 14 eligible datasets and 7 published signatures were included. A 13‐gene based signature was generated by penalized Cox regression categorized training cohort into high‐risk and low‐risk subgroups (HR = 8.873, 95% CI: 4.228–18.480 p < 0.001). Furthermore, a nomogram integrating the recurrence‐related signature, age, and histology was developed to predict the recurrence‐free survival in the training cohort, which performed well in the two external validation cohorts (concordance index: 0.737, 95% CI: 0.732–0.742, p < 0.001; 0.666, 95% CI: 0.650–0.682, p < 0.001; 0.651, 95% CI: 0.637–0.665, p < 0.001, respectively). The nomogram was further performed well in the Jiangsu cohort enrolled 163 patients (HR = 2.723, 95% CI: 1.526–4.859, p = 0.001). Post‐operative adjuvant therapy achieved evaluated disease‐free survival in high and intermediate risk groups (HR = 4.791, 95% CI: 1.081–21.231, p = 0.039). Conclusions The proposed nomogram is a promising tool for estimating recurrence‐free survival in stage I NSCLC, which might have tremendous value in management of early stage NSCLC and guiding adjuvant therapy strategies.https://doi.org/10.1111/crj.70022nomogramrecurrencestage I non–small cell lung cancersurvival |
| spellingShingle | Rongrong Bian Feng Zhao Bo Peng Jin Zhang Qixing Mao Lin Wang Qiang Chen A Nomogram for Predicting Recurrence in Stage I Non‐Small Cell Lung Cancer The Clinical Respiratory Journal nomogram recurrence stage I non–small cell lung cancer survival |
| title | A Nomogram for Predicting Recurrence in Stage I Non‐Small Cell Lung Cancer |
| title_full | A Nomogram for Predicting Recurrence in Stage I Non‐Small Cell Lung Cancer |
| title_fullStr | A Nomogram for Predicting Recurrence in Stage I Non‐Small Cell Lung Cancer |
| title_full_unstemmed | A Nomogram for Predicting Recurrence in Stage I Non‐Small Cell Lung Cancer |
| title_short | A Nomogram for Predicting Recurrence in Stage I Non‐Small Cell Lung Cancer |
| title_sort | nomogram for predicting recurrence in stage i non small cell lung cancer |
| topic | nomogram recurrence stage I non–small cell lung cancer survival |
| url | https://doi.org/10.1111/crj.70022 |
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