Evidence map›Paper›PMID 33850844›Full record

ArticleAnnals of translational medicine2021

Improvement of pathological staging system for neuroendocrine tumors of the lung.

Chengxiang Yi, Jie Dai, Nan Song, Chunxiao Wu, Liping Zhang, Yuming Zhu, Gening Jiang, Helin Zhang, Peng Zhang

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Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chengxiang YiDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Jie DaiDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Nan SongDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Chunxiao WuShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Liping ZhangDepartment of Pathology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Yuming ZhuDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Gening JiangDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Helin ZhangDepartment of Thoracic Surgery, Hebei The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Peng ZhangDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, the tumor, node, and metastasis (TNM) staging system has a limited value in prognostic stratification for neuroendocrine tumors of the lung (NETL). A specific pathological staging system was therefore explored.

methodsTwo cohorts were assessed: the training cohort was composed of surgically treated patients from the Surveillance, Epidemiologic, and End Results (SEER) database [2004-2015]; the Shanghai cohort included Shanghai resident patients treated at Shanghai Pulmonary Hospital [2009-2018]. Multivariable Cox regression analysis was performed to identify factors associated with overall survival. A new staging system was proposed based on survival tree, and was further compared with the 8

resultsIn the training set (n=3,204), multivariate Cox analysis showed that tumor histotype and nodal status were independently associated with survival, but not T stage. Therefore, by incorporating NETL histotype (G1, low-grade typical pulmonary carcinoids; G2, intermediate-grade atypical pulmonary carcinoids; G3, high-grade large-cell neuroendocrine carcinomas) and N stage, a new staging system was developed: IA, G1N0; IB, G1N1 or G2N0; II, G1N2, G2N1-2, or G3N0; III, G3N1-2. Five-year survival rates were 91.2%, 81.3%, 50.2% and 27.6% for the new stages IA to III in the validation set (n=3,204), respectively (P<0.001). Additionally, the new staging system had significantly better predictive ability than the TNM staging system, in both the SEER [C-index, 0.75

conclusionsThe new pathological staging system can better predict NETL prognosis than the 8

Indexed as

adjuvant chemotherapylung cancerNeuroendocrine tumorsurvivalTNM stage

Identifiers

PMID33850844
PMCPMC8039668

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