Clinicopathological features and prognostic nomogram of giant cell carcinoma of the lung: A population‐based study
Abstract Background Due to its rarity, the features and prognosis of giant cell carcinoma of the lung (GCCL) are not well defined. The present study aimed to describe the clinicopathological features and prognostic analysis of this rare disease, compare it with lung adenocarcinoma (LAC), further det...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-03-01
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| Series: | The Clinical Respiratory Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/crj.13586 |
| _version_ | 1811161481982509056 |
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| author | Jiang He Jin‐Ping Ni Guang‐Bin Li Jie Yao Bin Ni |
| author_facet | Jiang He Jin‐Ping Ni Guang‐Bin Li Jie Yao Bin Ni |
| author_sort | Jiang He |
| collection | DOAJ |
| description | Abstract Background Due to its rarity, the features and prognosis of giant cell carcinoma of the lung (GCCL) are not well defined. The present study aimed to describe the clinicopathological features and prognostic analysis of this rare disease, compare it with lung adenocarcinoma (LAC), further determine the prognostic factors and establish a nomogram. Methods Patients diagnosed with GCCL and LAC were identified from the SEER database between 2004 and 2016. The features and survival between GCCL and LAC were compared in the unmatched and matched cohorts after propensity score matching (PSM) analysis. Univariate and multivariate Cox analyses were used to identify the prognostic factors, and a nomogram was constructed. Area under the curve (AUC), C‐index, calibration curve and decision curve analysis (DCA) were used to confirm the established nomogram. Results A total of 295 patient diagnosed with GCCL and 149 082 patients with LAC were identified. Compared with LAC, patients with GCCL tend to be younger, male, black and have pathological Grade III/IV GCCL, more proportion of AJCC‐TNM‐IV, T3/T4 and distant metastases. The 1‐, 2‐ and 5‐year OS rates of the patients with GCCL were 21.7%, 13.4% and 7.9%, respectively. The median OS and CSS were 3 and 4 months, respectively. Patients with GCCL had significantly shorter OS and CSS than those with LAC in the unmatched and matched cohorts after PSM. Multivariate Cox analysis demonstrated that T, N and M stages and use of chemotherapy and surgery were independent of survival. Furthermore, we constructed a prognostic nomogram for OS and CSS by using independent prognostic factors. The C‐index of OS‐specific nomogram is 0.78 (0.74–0.81), and the C‐index of CSS‐specific nomogram is 0.77 (0.73–0.80). The calibration curve and ROC analysis showed good predictive capability of these nomograms. DCA showed that the nomogram had greater clinical practical value in predicting the OS and CSS of GCCL than TNM staging. Conclusion GCCL have distinct clinicopathological characteristics and significantly worse clinical outcomes. Prognostic nomograms for overall survival (OS) and CSS were constructed. |
| first_indexed | 2024-04-10T06:14:59Z |
| format | Article |
| id | doaj.art-447ce0b33cf249e2846b2b929096ad94 |
| institution | Directory Open Access Journal |
| issn | 1752-6981 1752-699X |
| language | English |
| last_indexed | 2024-04-10T06:14:59Z |
| publishDate | 2023-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Clinical Respiratory Journal |
| spelling | doaj.art-447ce0b33cf249e2846b2b929096ad942023-03-02T08:35:44ZengWileyThe Clinical Respiratory Journal1752-69811752-699X2023-03-0117319721010.1111/crj.13586Clinicopathological features and prognostic nomogram of giant cell carcinoma of the lung: A population‐based studyJiang He0Jin‐Ping Ni1Guang‐Bin Li2Jie Yao3Bin Ni4Department of Thoracic Surgery The First Affiliated Hospital of Soochow University Suzhou ChinaSuzhou Kowloon Hospital Shanghai Jiaotong University School of Medicine Suzhou ChinaDepartment of Thoracic Surgery The First Affiliated Hospital of Soochow University Suzhou ChinaDepartment of Thoracic Surgery The First Affiliated Hospital of Soochow University Suzhou ChinaDepartment of Thoracic Surgery The First Affiliated Hospital of Soochow University Suzhou ChinaAbstract Background Due to its rarity, the features and prognosis of giant cell carcinoma of the lung (GCCL) are not well defined. The present study aimed to describe the clinicopathological features and prognostic analysis of this rare disease, compare it with lung adenocarcinoma (LAC), further determine the prognostic factors and establish a nomogram. Methods Patients diagnosed with GCCL and LAC were identified from the SEER database between 2004 and 2016. The features and survival between GCCL and LAC were compared in the unmatched and matched cohorts after propensity score matching (PSM) analysis. Univariate and multivariate Cox analyses were used to identify the prognostic factors, and a nomogram was constructed. Area under the curve (AUC), C‐index, calibration curve and decision curve analysis (DCA) were used to confirm the established nomogram. Results A total of 295 patient diagnosed with GCCL and 149 082 patients with LAC were identified. Compared with LAC, patients with GCCL tend to be younger, male, black and have pathological Grade III/IV GCCL, more proportion of AJCC‐TNM‐IV, T3/T4 and distant metastases. The 1‐, 2‐ and 5‐year OS rates of the patients with GCCL were 21.7%, 13.4% and 7.9%, respectively. The median OS and CSS were 3 and 4 months, respectively. Patients with GCCL had significantly shorter OS and CSS than those with LAC in the unmatched and matched cohorts after PSM. Multivariate Cox analysis demonstrated that T, N and M stages and use of chemotherapy and surgery were independent of survival. Furthermore, we constructed a prognostic nomogram for OS and CSS by using independent prognostic factors. The C‐index of OS‐specific nomogram is 0.78 (0.74–0.81), and the C‐index of CSS‐specific nomogram is 0.77 (0.73–0.80). The calibration curve and ROC analysis showed good predictive capability of these nomograms. DCA showed that the nomogram had greater clinical practical value in predicting the OS and CSS of GCCL than TNM staging. Conclusion GCCL have distinct clinicopathological characteristics and significantly worse clinical outcomes. Prognostic nomograms for overall survival (OS) and CSS were constructed.https://doi.org/10.1111/crj.13586giant cell carcinoma of the lungnomogrampropensity score matching analysisSEER database |
| spellingShingle | Jiang He Jin‐Ping Ni Guang‐Bin Li Jie Yao Bin Ni Clinicopathological features and prognostic nomogram of giant cell carcinoma of the lung: A population‐based study The Clinical Respiratory Journal giant cell carcinoma of the lung nomogram propensity score matching analysis SEER database |
| title | Clinicopathological features and prognostic nomogram of giant cell carcinoma of the lung: A population‐based study |
| title_full | Clinicopathological features and prognostic nomogram of giant cell carcinoma of the lung: A population‐based study |
| title_fullStr | Clinicopathological features and prognostic nomogram of giant cell carcinoma of the lung: A population‐based study |
| title_full_unstemmed | Clinicopathological features and prognostic nomogram of giant cell carcinoma of the lung: A population‐based study |
| title_short | Clinicopathological features and prognostic nomogram of giant cell carcinoma of the lung: A population‐based study |
| title_sort | clinicopathological features and prognostic nomogram of giant cell carcinoma of the lung a population based study |
| topic | giant cell carcinoma of the lung nomogram propensity score matching analysis SEER database |
| url | https://doi.org/10.1111/crj.13586 |
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