Using machine learning for mortality prediction and risk stratification in atezolizumab‐treated cancer patients: Integrative analysis of eight clinical trials

Author:

Wu Yougen1ORCID,Zhu Wenyu2,Wang Jing2,Liu Lvwen2,Zhang Wei3,Wang Yang4,Shi Jindong5,Xia Ju1,Gu Yuting1,Qian Qingqing16ORCID,Hong Yang17ORCID

Affiliation:

1. National Institute of Clinical Research, The Fifth People's Hospital of Shanghai Fudan University Shanghai China

2. Shanghai Long For Health Data Technology Co.ltd Shanghai China

3. Department of Biostatistics Fudan University School of Public Health Shanghai China

4. Department of Urology The Fifth People's Hospital of Shanghai, Fudan University Shanghai China

5. Department of Respiratory Medicine The Fifth People's Hospital of Shanghai, Fudan University Shanghai China

6. Department of Pharmacy, The Fifth People's Hospital of Shanghai Fudan University Shanghai China

7. Department of Osteology, The Fifth People's Hospital of Shanghai Fudan University Shanghai China

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

Reference33 articles.

1. Cancer Immunotherapy Update: FDA-Approved Checkpoint Inhibitors and Companion Diagnostics

2. Atezolizumab is approved to treat hepatocellular carcinoma melanoma non‐small cell lung cancer and small cell lung cancer.https://www.cancer.gov/about‐cancer/treatment/drugs/atezolizumab. Accessed July 22 2022.

3. FDA approves atezolizumab for PD‐L1 positive unresectable locally advanced or metastatic triple‐negative breast cancer.https://www.fda.gov/drugs/drug‐approvals‐and‐databases/fda‐approves‐atezolizumab‐pd‐l1‐positive‐unresectable‐locally‐advanced‐or‐metastatic‐triple‐negative. Accessed July 22 2022.

4. PD-L1 (B7-H1) and PD-1 pathway blockade for cancer therapy: Mechanisms, response biomarkers, and combinations

5. Immune-Related Adverse Events Associated with Immune Checkpoint Blockade

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