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Authors
Zhou, Jian-Guo https://orcid.org/0000-0002-5021-3739
Yang, Jie
Wang, Haitao
Wong, Ada Hang-Heng
Tan, Fangya
Chen, Xiaofei
He, Si-Si
Shen, Gang
Wang, Yun-Jia
Frey, Benjamin https://orcid.org/0000-0001-6743-3351
Fietkau, Rainer
Hecht, Markus https://orcid.org/0000-0003-2082-216X
Zhong, Wenzhao
Ma, Hu
Gaipl, Udo https://orcid.org/0000-0001-6375-5476
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Clinical Trials BETA
Clinical trials referenced in this document:
nct02031458 at ClinicalTrials.govnct01846416 at ClinicalTrials.govDocuments that mention this clinical trial
Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy
https://doi.org/10.1136/bmjonc-2023-000128
Treatment-emergent antidrug antibodies related to PD-1, PD-L1, or CTLA-4 inhibitors across tumor types: a systematic review
https://doi.org/10.1136/jitc-2023-008266
Primary and secondary pseudo-stability and progression after atezolizumab with and without bevacizumab
https://doi.org/10.1136/jitc-2025-013727
329 Early blood cell count test (BCT) for survival prediction for non-small cell lung cancer patients treated with atezolizumab: integrated analysis of 4 multicenter clinical trials
https://doi.org/10.1136/jitc-2021-sitc2021.329
Early tumor shrinkage identifies long-term disease control and survival in patients with lung cancer treated with atezolizumab
https://doi.org/10.1136/jitc-2019-000500
nct01903993 at ClinicalTrials.govDocuments that mention this clinical trial
Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy
https://doi.org/10.1136/bmjonc-2023-000128
329 Early blood cell count test (BCT) for survival prediction for non-small cell lung cancer patients treated with atezolizumab: integrated analysis of 4 multicenter clinical trials
https://doi.org/10.1136/jitc-2021-sitc2021.329
Early tumor shrinkage identifies long-term disease control and survival in patients with lung cancer treated with atezolizumab
https://doi.org/10.1136/jitc-2019-000500
nct02008227 at ClinicalTrials.govDocuments that mention this clinical trial
Liquid biopsy approaches to capture tumor evolution and clinical outcomes during cancer immunotherapy
https://doi.org/10.1136/jitc-2022-005924
Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy
https://doi.org/10.1136/bmjonc-2023-000128
435 Intratumoral plasma cells predict outcomes to PD-L1 blockade in non-small cell lung cancer
https://doi.org/10.1136/jitc-2022-sitc2022.0435
Atezolizumab versus docetaxel for patients with previously treated non-small-cell lung cancer (POPLAR): a multicentre, open-label, phase 2 randomised controlled trial
https://doi.org/10.1016/s0140-6736(16)00587-0
Development and validation of a serum proteomic test for predicting patient outcomes in advanced non-small cell lung cancer treated with atezolizumab or docetaxel
https://doi.org/10.1136/jitc-2024-010578
26 Validation of the Primary Immune Response (PIR) test in advanced non-small cell lung cancer (NSCLC): blinded retrospective analyses from the POPLAR and OAK trials
https://doi.org/10.1136/jitc-2021-sitc2021.026
46 Efficacy of atezolizumab and docetaxel in patients with HER2-positive non-small cell lung cancer: a pooled post hoc of the OAK and POPLAR trials
https://doi.org/10.1136/jitc-2023-sitc2023.0046
Primary and secondary pseudo-stability and progression after atezolizumab with and without bevacizumab
https://doi.org/10.1136/jitc-2025-013727
hMENA isoforms regulate cancer intrinsic type I IFN signaling and extrinsic mechanisms of resistance to immune checkpoint blockade in NSCLC
https://doi.org/10.1136/jitc-2023-006913
329 Early blood cell count test (BCT) for survival prediction for non-small cell lung cancer patients treated with atezolizumab: integrated analysis of 4 multicenter clinical trials
https://doi.org/10.1136/jitc-2021-sitc2021.329
Early opioid exposure (EOE) and impaired efficacy in patients with advanced NSCLC treated with PD-L1 inhibition: A pooled post hoc analysis of the POPLAR and OAK trials.
https://doi.org/10.1200/jco.2024.42.16_suppl.2607
831 Exact Shapley values for explaining complex machine learning based molecular tests of checkpoint inhibitors: potential utility for patients, physicians, and translational research
https://doi.org/10.1136/jitc-2021-sitc2021.831
Early tumor shrinkage identifies long-term disease control and survival in patients with lung cancer treated with atezolizumab
https://doi.org/10.1136/jitc-2019-000500
nct02031458 at ClinicalTrials.govDocuments that mention this clinical trial
Liquid biopsy approaches to capture tumor evolution and clinical outcomes during cancer immunotherapy
https://doi.org/10.1136/jitc-2022-005924
Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy
https://doi.org/10.1136/bmjonc-2023-000128
584 Evaluation of a composite immunotherapy signature in non-small cell lung cancer patients treated with atezolizumab
https://doi.org/10.1136/jitc-2022-sitc2022.0584
435 Intratumoral plasma cells predict outcomes to PD-L1 blockade in non-small cell lung cancer
https://doi.org/10.1136/jitc-2022-sitc2022.0435
Atezolizumab versus docetaxel for patients with previously treated non-small-cell lung cancer (POPLAR): a multicentre, open-label, phase 2 randomised controlled trial
https://doi.org/10.1016/s0140-6736(16)00587-0
Development and validation of a serum proteomic test for predicting patient outcomes in advanced non-small cell lung cancer treated with atezolizumab or docetaxel
https://doi.org/10.1136/jitc-2024-010578
26 Validation of the Primary Immune Response (PIR) test in advanced non-small cell lung cancer (NSCLC): blinded retrospective analyses from the POPLAR and OAK trials
https://doi.org/10.1136/jitc-2021-sitc2021.026
46 Efficacy of atezolizumab and docetaxel in patients with HER2-positive non-small cell lung cancer: a pooled post hoc of the OAK and POPLAR trials
https://doi.org/10.1136/jitc-2023-sitc2023.0046
Reciprocal regulation of hMENA and TGF-β signaling in cancer-associated fibroblasts promotes EMT, immunosuppression, poor prognosis, and ICT resistance in NSCLC
https://doi.org/10.1136/jitc-2025-013098
28 Predictions of outcomes and benefit of immune checkpoint inhibitor treatment in NSCLC require information on both tumor and host biology
https://doi.org/10.1136/jitc-2021-sitc2021.028
Society for Immunotherapy of Cancer (SITC) clinical practice guideline on immunotherapy for the treatment of lung cancer and mesothelioma
https://doi.org/10.1136/jitc-2021-003956
1090 Cross-cancer immunotherapy response prediction with the CURE AI foundation model
https://doi.org/10.1136/jitc-2025-sitc2025.1090
Primary and secondary pseudo-stability and progression after atezolizumab with and without bevacizumab
https://doi.org/10.1136/jitc-2025-013727
hMENA isoforms regulate cancer intrinsic type I IFN signaling and extrinsic mechanisms of resistance to immune checkpoint blockade in NSCLC
https://doi.org/10.1136/jitc-2023-006913
329 Early blood cell count test (BCT) for survival prediction for non-small cell lung cancer patients treated with atezolizumab: integrated analysis of 4 multicenter clinical trials
https://doi.org/10.1136/jitc-2021-sitc2021.329
Tumor-agnostic transcriptome-based classifier identifies spatial infiltration patterns of CD8+T cells in the tumor microenvironment and predicts clinical outcome in early-phase and late-phase clinical trials
https://doi.org/10.1136/jitc-2023-008185
Comparison of SP263 and 22C3 immunohistochemistry PD-L1 assays for clinical efficacy of adjuvant atezolizumab in non-small cell lung cancer: results from the randomized phase III IMpower010 trial
https://doi.org/10.1136/jitc-2023-007047
Early opioid exposure (EOE) and impaired efficacy in patients with advanced NSCLC treated with PD-L1 inhibition: A pooled post hoc analysis of the POPLAR and OAK trials.
https://doi.org/10.1200/jco.2024.42.16_suppl.2607
831 Exact Shapley values for explaining complex machine learning based molecular tests of checkpoint inhibitors: potential utility for patients, physicians, and translational research
https://doi.org/10.1136/jitc-2021-sitc2021.831
Early tumor shrinkage identifies long-term disease control and survival in patients with lung cancer treated with atezolizumab
https://doi.org/10.1136/jitc-2019-000500
Fast progression in non–small cell lung cancer: results from the randomized phase III OAK study evaluating second-line atezolizumab versus docetaxel
https://doi.org/10.1136/jitc-2020-001882
Intratumoral CD103+ CD8+ T cells predict response to PD-L1 blockade
https://doi.org/10.1136/jitc-2020-002231
nct01846416 at ClinicalTrials.govDocuments that mention this clinical trial
Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy
https://doi.org/10.1136/bmjonc-2023-000128
Treatment-emergent antidrug antibodies related to PD-1, PD-L1, or CTLA-4 inhibitors across tumor types: a systematic review
https://doi.org/10.1136/jitc-2023-008266
Primary and secondary pseudo-stability and progression after atezolizumab with and without bevacizumab
https://doi.org/10.1136/jitc-2025-013727
329 Early blood cell count test (BCT) for survival prediction for non-small cell lung cancer patients treated with atezolizumab: integrated analysis of 4 multicenter clinical trials
https://doi.org/10.1136/jitc-2021-sitc2021.329
Early tumor shrinkage identifies long-term disease control and survival in patients with lung cancer treated with atezolizumab
https://doi.org/10.1136/jitc-2019-000500
nct01903993 at ClinicalTrials.govDocuments that mention this clinical trial
Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy
https://doi.org/10.1136/bmjonc-2023-000128
329 Early blood cell count test (BCT) for survival prediction for non-small cell lung cancer patients treated with atezolizumab: integrated analysis of 4 multicenter clinical trials
https://doi.org/10.1136/jitc-2021-sitc2021.329
Early tumor shrinkage identifies long-term disease control and survival in patients with lung cancer treated with atezolizumab
https://doi.org/10.1136/jitc-2019-000500
nct02008227 at ClinicalTrials.govDocuments that mention this clinical trial
Liquid biopsy approaches to capture tumor evolution and clinical outcomes during cancer immunotherapy
https://doi.org/10.1136/jitc-2022-005924
Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy
https://doi.org/10.1136/bmjonc-2023-000128
435 Intratumoral plasma cells predict outcomes to PD-L1 blockade in non-small cell lung cancer
https://doi.org/10.1136/jitc-2022-sitc2022.0435
Atezolizumab versus docetaxel for patients with previously treated non-small-cell lung cancer (POPLAR): a multicentre, open-label, phase 2 randomised controlled trial
https://doi.org/10.1016/s0140-6736(16)00587-0
Development and validation of a serum proteomic test for predicting patient outcomes in advanced non-small cell lung cancer treated with atezolizumab or docetaxel
https://doi.org/10.1136/jitc-2024-010578
26 Validation of the Primary Immune Response (PIR) test in advanced non-small cell lung cancer (NSCLC): blinded retrospective analyses from the POPLAR and OAK trials
https://doi.org/10.1136/jitc-2021-sitc2021.026
46 Efficacy of atezolizumab and docetaxel in patients with HER2-positive non-small cell lung cancer: a pooled post hoc of the OAK and POPLAR trials
https://doi.org/10.1136/jitc-2023-sitc2023.0046
Primary and secondary pseudo-stability and progression after atezolizumab with and without bevacizumab
https://doi.org/10.1136/jitc-2025-013727
hMENA isoforms regulate cancer intrinsic type I IFN signaling and extrinsic mechanisms of resistance to immune checkpoint blockade in NSCLC
https://doi.org/10.1136/jitc-2023-006913
329 Early blood cell count test (BCT) for survival prediction for non-small cell lung cancer patients treated with atezolizumab: integrated analysis of 4 multicenter clinical trials
https://doi.org/10.1136/jitc-2021-sitc2021.329
Early opioid exposure (EOE) and impaired efficacy in patients with advanced NSCLC treated with PD-L1 inhibition: A pooled post hoc analysis of the POPLAR and OAK trials.
https://doi.org/10.1200/jco.2024.42.16_suppl.2607
831 Exact Shapley values for explaining complex machine learning based molecular tests of checkpoint inhibitors: potential utility for patients, physicians, and translational research
https://doi.org/10.1136/jitc-2021-sitc2021.831
Early tumor shrinkage identifies long-term disease control and survival in patients with lung cancer treated with atezolizumab
https://doi.org/10.1136/jitc-2019-000500
Documents that mention this clinical trial
Liquid biopsy approaches to capture tumor evolution and clinical outcomes during cancer immunotherapy
https://doi.org/10.1136/jitc-2022-005924
Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy
https://doi.org/10.1136/bmjonc-2023-000128
584 Evaluation of a composite immunotherapy signature in non-small cell lung cancer patients treated with atezolizumab
https://doi.org/10.1136/jitc-2022-sitc2022.0584
435 Intratumoral plasma cells predict outcomes to PD-L1 blockade in non-small cell lung cancer
https://doi.org/10.1136/jitc-2022-sitc2022.0435
Atezolizumab versus docetaxel for patients with previously treated non-small-cell lung cancer (POPLAR): a multicentre, open-label, phase 2 randomised controlled trial
https://doi.org/10.1016/s0140-6736(16)00587-0
Development and validation of a serum proteomic test for predicting patient outcomes in advanced non-small cell lung cancer treated with atezolizumab or docetaxel
https://doi.org/10.1136/jitc-2024-010578
26 Validation of the Primary Immune Response (PIR) test in advanced non-small cell lung cancer (NSCLC): blinded retrospective analyses from the POPLAR and OAK trials
https://doi.org/10.1136/jitc-2021-sitc2021.026
46 Efficacy of atezolizumab and docetaxel in patients with HER2-positive non-small cell lung cancer: a pooled post hoc of the OAK and POPLAR trials
https://doi.org/10.1136/jitc-2023-sitc2023.0046
Reciprocal regulation of hMENA and TGF-β signaling in cancer-associated fibroblasts promotes EMT, immunosuppression, poor prognosis, and ICT resistance in NSCLC
https://doi.org/10.1136/jitc-2025-013098
28 Predictions of outcomes and benefit of immune checkpoint inhibitor treatment in NSCLC require information on both tumor and host biology
https://doi.org/10.1136/jitc-2021-sitc2021.028
Society for Immunotherapy of Cancer (SITC) clinical practice guideline on immunotherapy for the treatment of lung cancer and mesothelioma
https://doi.org/10.1136/jitc-2021-003956
1090 Cross-cancer immunotherapy response prediction with the CURE AI foundation model
https://doi.org/10.1136/jitc-2025-sitc2025.1090
Primary and secondary pseudo-stability and progression after atezolizumab with and without bevacizumab
https://doi.org/10.1136/jitc-2025-013727
hMENA isoforms regulate cancer intrinsic type I IFN signaling and extrinsic mechanisms of resistance to immune checkpoint blockade in NSCLC
https://doi.org/10.1136/jitc-2023-006913
329 Early blood cell count test (BCT) for survival prediction for non-small cell lung cancer patients treated with atezolizumab: integrated analysis of 4 multicenter clinical trials
https://doi.org/10.1136/jitc-2021-sitc2021.329
Tumor-agnostic transcriptome-based classifier identifies spatial infiltration patterns of CD8+T cells in the tumor microenvironment and predicts clinical outcome in early-phase and late-phase clinical trials
https://doi.org/10.1136/jitc-2023-008185
Comparison of SP263 and 22C3 immunohistochemistry PD-L1 assays for clinical efficacy of adjuvant atezolizumab in non-small cell lung cancer: results from the randomized phase III IMpower010 trial
https://doi.org/10.1136/jitc-2023-007047
Early opioid exposure (EOE) and impaired efficacy in patients with advanced NSCLC treated with PD-L1 inhibition: A pooled post hoc analysis of the POPLAR and OAK trials.
https://doi.org/10.1200/jco.2024.42.16_suppl.2607
831 Exact Shapley values for explaining complex machine learning based molecular tests of checkpoint inhibitors: potential utility for patients, physicians, and translational research
https://doi.org/10.1136/jitc-2021-sitc2021.831
Early tumor shrinkage identifies long-term disease control and survival in patients with lung cancer treated with atezolizumab
https://doi.org/10.1136/jitc-2019-000500
Fast progression in non–small cell lung cancer: results from the randomized phase III OAK study evaluating second-line atezolizumab versus docetaxel
https://doi.org/10.1136/jitc-2020-001882
Intratumoral CD103+ CD8+ T cells predict response to PD-L1 blockade
https://doi.org/10.1136/jitc-2020-002231
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Funding
Funding for this research was provided by:
Youth Talent Project of Guizhou Provincial Department of Education (QJJ2022-224)
Chunhui program of the Chinese Ministry of Education (HZKY20220231)
China Lung Cancer Immunotherapy Research Project (CL010)
Natural Science Foundation of Guizhou Province (ZK2021-YB435)
National Natural Science Foundation of China (81660512)
Excellent Young Talent Cultivation Project of Zunyi City (Zunshi Kehe HZ (2023) 142)
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