LASSO-derived prognostic model predicts cancer-specific survival in advanced pancreatic ductal adenocarcinoma over 50 years of age: a retrospective study of SEER database research
BackgroundThis study aimed to develop a prognostic model for patients with advanced ductal adenocarcinoma aged ≥50 years.MethodsPatient information was extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Least absolute shrinkage and selection operator (LASSO) Cox regressi...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-01-01
|
| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1336251/full |
| _version_ | 1797321682135810048 |
|---|---|
| author | Yuan Feng Junjun Yang Wentao Duan Yu Cai Xiaohong Liu Yong Peng |
| author_facet | Yuan Feng Junjun Yang Wentao Duan Yu Cai Xiaohong Liu Yong Peng |
| author_sort | Yuan Feng |
| collection | DOAJ |
| description | BackgroundThis study aimed to develop a prognostic model for patients with advanced ductal adenocarcinoma aged ≥50 years.MethodsPatient information was extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Least absolute shrinkage and selection operator (LASSO) Cox regression analysis was performed to screen the model variables. Cases from Nanchang Central Hospital were collected for external validation. The new nomogram and the American Joint Committee on Cancer (AJCC) criteria were evaluated using integrated discrimination improvement (IDI) and net reclassification index (NRI) indicators. Survival curves presented the prognosis of the new classification system and AJCC criteria.ResultsIn total, 17,621 eligible patients were included. Lasso Cox regression selected 4 variables including age, chemotherapy, radiotherapy and AJCC stage. The C-index of the training cohort was 0.721. The C-index value of the validation cohort was 0.729. The AUCs for the training cohorts at 1, 2, and 3 years were 0.749, 0.729, and 0.715, respectively. The calibration curves showed that the predicted and actual probabilities at 1, 2, and 3 years matched. External validation confirmed the model’s outstanding predictive power. Decision curve analysis indicated that the clinical benefit of the nomogram was higher than that of the AJCC staging system. The model evaluation indices preceded the AJCC staging with NRI (1-year: 0.88, 2-year: 0.94, 3-year: 0.72) and IDI (1-year: 0.24, 2-year: 0.23, 3-year: 0.22). The Kaplan–Meier curves implied that the new classification system was more capable of distinguishing between patients at different risks.ConclusionsThis study established a prognostic nomogram and risk classification system for advanced pancreatic cancer in patients aged ≥50 years to provide a practical tool for the clinical management of patients with pancreatic ductal adenocarcinoma. |
| first_indexed | 2024-03-08T05:02:14Z |
| format | Article |
| id | doaj.art-3345cb2c63f84ccc93e723d9d72a4109 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-03-08T05:02:14Z |
| publishDate | 2024-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-3345cb2c63f84ccc93e723d9d72a41092024-02-07T10:33:28ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2024-01-011310.3389/fonc.2023.13362511336251LASSO-derived prognostic model predicts cancer-specific survival in advanced pancreatic ductal adenocarcinoma over 50 years of age: a retrospective study of SEER database researchYuan FengJunjun YangWentao DuanYu CaiXiaohong LiuYong PengBackgroundThis study aimed to develop a prognostic model for patients with advanced ductal adenocarcinoma aged ≥50 years.MethodsPatient information was extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Least absolute shrinkage and selection operator (LASSO) Cox regression analysis was performed to screen the model variables. Cases from Nanchang Central Hospital were collected for external validation. The new nomogram and the American Joint Committee on Cancer (AJCC) criteria were evaluated using integrated discrimination improvement (IDI) and net reclassification index (NRI) indicators. Survival curves presented the prognosis of the new classification system and AJCC criteria.ResultsIn total, 17,621 eligible patients were included. Lasso Cox regression selected 4 variables including age, chemotherapy, radiotherapy and AJCC stage. The C-index of the training cohort was 0.721. The C-index value of the validation cohort was 0.729. The AUCs for the training cohorts at 1, 2, and 3 years were 0.749, 0.729, and 0.715, respectively. The calibration curves showed that the predicted and actual probabilities at 1, 2, and 3 years matched. External validation confirmed the model’s outstanding predictive power. Decision curve analysis indicated that the clinical benefit of the nomogram was higher than that of the AJCC staging system. The model evaluation indices preceded the AJCC staging with NRI (1-year: 0.88, 2-year: 0.94, 3-year: 0.72) and IDI (1-year: 0.24, 2-year: 0.23, 3-year: 0.22). The Kaplan–Meier curves implied that the new classification system was more capable of distinguishing between patients at different risks.ConclusionsThis study established a prognostic nomogram and risk classification system for advanced pancreatic cancer in patients aged ≥50 years to provide a practical tool for the clinical management of patients with pancreatic ductal adenocarcinoma.https://www.frontiersin.org/articles/10.3389/fonc.2023.1336251/fulladvanced pancreatic ductal adenocarcinomanomogramAJCC stagingrisk stratificationcancer-specific survival |
| spellingShingle | Yuan Feng Junjun Yang Wentao Duan Yu Cai Xiaohong Liu Yong Peng LASSO-derived prognostic model predicts cancer-specific survival in advanced pancreatic ductal adenocarcinoma over 50 years of age: a retrospective study of SEER database research Frontiers in Oncology advanced pancreatic ductal adenocarcinoma nomogram AJCC staging risk stratification cancer-specific survival |
| title | LASSO-derived prognostic model predicts cancer-specific survival in advanced pancreatic ductal adenocarcinoma over 50 years of age: a retrospective study of SEER database research |
| title_full | LASSO-derived prognostic model predicts cancer-specific survival in advanced pancreatic ductal adenocarcinoma over 50 years of age: a retrospective study of SEER database research |
| title_fullStr | LASSO-derived prognostic model predicts cancer-specific survival in advanced pancreatic ductal adenocarcinoma over 50 years of age: a retrospective study of SEER database research |
| title_full_unstemmed | LASSO-derived prognostic model predicts cancer-specific survival in advanced pancreatic ductal adenocarcinoma over 50 years of age: a retrospective study of SEER database research |
| title_short | LASSO-derived prognostic model predicts cancer-specific survival in advanced pancreatic ductal adenocarcinoma over 50 years of age: a retrospective study of SEER database research |
| title_sort | lasso derived prognostic model predicts cancer specific survival in advanced pancreatic ductal adenocarcinoma over 50 years of age a retrospective study of seer database research |
| topic | advanced pancreatic ductal adenocarcinoma nomogram AJCC staging risk stratification cancer-specific survival |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2023.1336251/full |
| work_keys_str_mv | AT yuanfeng lassoderivedprognosticmodelpredictscancerspecificsurvivalinadvancedpancreaticductaladenocarcinomaover50yearsofagearetrospectivestudyofseerdatabaseresearch AT junjunyang lassoderivedprognosticmodelpredictscancerspecificsurvivalinadvancedpancreaticductaladenocarcinomaover50yearsofagearetrospectivestudyofseerdatabaseresearch AT wentaoduan lassoderivedprognosticmodelpredictscancerspecificsurvivalinadvancedpancreaticductaladenocarcinomaover50yearsofagearetrospectivestudyofseerdatabaseresearch AT yucai lassoderivedprognosticmodelpredictscancerspecificsurvivalinadvancedpancreaticductaladenocarcinomaover50yearsofagearetrospectivestudyofseerdatabaseresearch AT xiaohongliu lassoderivedprognosticmodelpredictscancerspecificsurvivalinadvancedpancreaticductaladenocarcinomaover50yearsofagearetrospectivestudyofseerdatabaseresearch AT yongpeng lassoderivedprognosticmodelpredictscancerspecificsurvivalinadvancedpancreaticductaladenocarcinomaover50yearsofagearetrospectivestudyofseerdatabaseresearch |