Multi‐omics predictive model based on clinical, radiomic and genomic features for predicting the response of limited‐stage small cell lung cancer to definitive chemoradiotherapy-Reference-Cited by-同舟云学术

Multi‐omics predictive model based on clinical, radiomic and genomic features for predicting the response of limited‐stage small cell lung cancer to definitive chemoradiotherapy

Published:2024-01 Issue:1 Volume:14 Page:
ISSN:2001-1326
Container-title:Clinical and Translational Medicine
language:en
Short-container-title:Clinical & Translational Med

Author:

Li Li¹,Duan Jinghao¹,Gao Yongsheng²,Yin Ying³,Yang Fengchang⁴,Tang Wenjie¹,Song Xiaoyu¹,Hu Tao¹,Cui Jinfeng¹,Yu Jinming¹,Yuan Shuanghu¹⁵^ORCID

Affiliation:

1. Department of Radiation Oncology Shandong Cancer Hospital and Institute Shandong First Medical University and Shandong Academy of Medical Sciences Jinan Shandong China

2. Department of Pathology Shandong Cancer Hospital and Institute Shandong First Medical University and Shandong Academy of Medical Sciences Jinan Shandong China

3. Department of Oncology Second People's Hospital of Yibin City Yibin Sichuan China

4. Department of Radiology Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan Shandong China

5. Department of Radiation Oncology The Affiliated Cancer Hospital of Zhengzhou University Henan China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ctm2.1522

Reference10 articles.

1. Lung Cancer‐Small Cell: Statistics 2021 Cancer.Net

2. Small cell lung cancer: a slightly less orphan disease after immunotherapy

3. Platinum versus non‐platinum chemotherapy regimens for small cell lung cancer;Amarasena IU;Cochrane Database Syst Rev,2015

4. Meningiomas

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