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Wu W, Guo J, He L, Deng Q, Huang X. Case report: Long-term intracranial effect of zimberelimab monotherapy following surgical resection of high PD-L1-expressing brain metastases from NSCLC. Front Oncol 2024; 14:1390343. [PMID: 38800395 PMCID: PMC11116670 DOI: 10.3389/fonc.2024.1390343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 04/24/2024] [Indexed: 05/29/2024] Open
Abstract
Non-small cell lung cancer (NSCLC) accounted for the majority of lung cancer cases worldwide. Brain metastases (BM) frequently complicate NSCLC and portend a dismal prognosis. To control neurological symptoms, surgical resection is commonly followed by brain radiotherapy (RT). However, RT is often complicated by neurotoxicity. For patients with tumors that harbor positive driver genes, tyrosine kinase inhibitors are considered the standard of care. Nevertheless, treatment options for those without driver gene mutations are still debated. Programmed death receptor 1 (PD-1)/ligand 1 (PD-L1) inhibition has emerged as a novel therapeutic strategy for NSCLC patients with PD-L1-positive tumors, as well as for those with asymptomatic BM. However, the effect of anti-PD-1 antibodies on active BM within such specific populations is undetermined. Herein we present a case of a 65-year-old patient with NSCLC and high PD-L1-expressing BM. The patient underwent surgical resection of BM followed by first-line monotherapy with 31 cycles of zimberelimab, a novel anti-PD-1 antibody, and has already achieved 24 months of progression-free survival and intracranial recurrence-free survival. To our knowledge, this is the first report regarding the intracranial effect of zimberelimab on BM from primary lung cancer. This case report might facilitate an understanding of the intracranial effects of different anti-PD-1 antibodies for such populations.
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Affiliation(s)
- Weijia Wu
- Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jinyou Guo
- Department of Oncology, Yuhuan Second People’s Hospital, Yuhuan, China
| | - Lianxiang He
- Department of Medical Affairs, Guangzhou Gloria Bioscience Co., Ltd., Beijing, China
| | - Qi Deng
- Department of Medical Affairs, Guangzhou Gloria Bioscience Co., Ltd., Beijing, China
| | - Xianping Huang
- Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
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Zhou H, Watson M, Bernadt CT, Lin S(S, Lin CY, Ritter JH, Wein A, Mahler S, Rawal S, Govindan R, Yang C, Cote RJ. AI-guided histopathology predicts brain metastasis in lung cancer patients. J Pathol 2024; 263:89-98. [PMID: 38433721 PMCID: PMC11210939 DOI: 10.1002/path.6263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 11/30/2023] [Accepted: 01/16/2024] [Indexed: 03/05/2024]
Abstract
Brain metastases can occur in nearly half of patients with early and locally advanced (stage I-III) non-small cell lung cancer (NSCLC). There are no reliable histopathologic or molecular means to identify those who are likely to develop brain metastases. We sought to determine if deep learning (DL) could be applied to routine H&E-stained primary tumor tissue sections from stage I-III NSCLC patients to predict the development of brain metastasis. Diagnostic slides from 158 patients with stage I-III NSCLC followed for at least 5 years for the development of brain metastases (Met+, 65 patients) versus no progression (Met-, 93 patients) were subjected to whole-slide imaging. Three separate iterations were performed by first selecting 118 cases (45 Met+, 73 Met-) to train and validate the DL algorithm, while 40 separate cases (20 Met+, 20 Met-) were used as the test set. The DL algorithm results were compared to a blinded review by four expert pathologists. The DL-based algorithm was able to distinguish the eventual development of brain metastases with an accuracy of 87% (p < 0.0001) compared with an average of 57.3% by the four pathologists and appears to be particularly useful in predicting brain metastases in stage I patients. The DL algorithm appears to focus on a complex set of histologic features. DL-based algorithms using routine H&E-stained slides may identify patients who are likely to develop brain metastases from those who will remain disease free over extended (>5 year) follow-up and may thus be spared systemic therapy. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Haowen Zhou
- Department of Electrical Engineering, California Institute of Technology, Pasadena CA, USA
| | - Mark Watson
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Cory T. Bernadt
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Steven (Siyu) Lin
- Department of Electrical Engineering, California Institute of Technology, Pasadena CA, USA
| | - Chieh-yu Lin
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Jon. H. Ritter
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Alexander Wein
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Simon Mahler
- Department of Electrical Engineering, California Institute of Technology, Pasadena CA, USA
| | - Sid Rawal
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Ramaswamy Govindan
- Department of Medicine, Washington University School of Medicine, Saint Louis, MO, USA
| | - Changhuei Yang
- Department of Electrical Engineering, California Institute of Technology, Pasadena CA, USA
| | - Richard J. Cote
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, USA
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Zhu X, Dong S, Tang J, Xie R, Wu H, Hofman P, Mrugala MM, Hu S. Lung cancer with brain metastases remaining in continuous complete remission due to pembrolizumab and temozolomide: a case report. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:942. [PMID: 36172106 PMCID: PMC9511178 DOI: 10.21037/atm-22-4208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 09/08/2022] [Indexed: 11/29/2022]
Abstract
Background Immunotherapy has been shown to improve the overall survival (OS) in patients with advanced or metastatic non-small cell lung cancer (NSCLC) without driver gene mutations. However, monotherapy with immunotherapy alone or combined with chemotherapy in NSCLC patients with untreated brain metastases (BM) is still under debate. Data regarding treatment of BM with immunotherapy and temozolomide (TMZ) in patients with NSCLC is rare. Case Presentation A 60-year-old male due to cough and expectoration presented in our hospital. Chest computed tomography (CT), brain magnetic resonance imaging (MRI) and immunohistochemistry of a mediastinal lymph node biopsy were administered, he was diagnosed with stage IIIB lung adenocarcinoma. Without driver gene mutations, he was treated with platinum-based chemotherapy because he refused to accept concurrent radiation therapy (RT). Heavy cough companied with hemoptysis and chest CT scan both revealed progressive disease (PD) after 6 cycles of chemotherapy. Immunotherapy was consequently considered, while two metastatic lesions in the brain were confirmed after combined treatment of pembrolizumab with docetaxel. TMZ was administered in combination with pembrolizumab (200 mg, day 1). A new metastasis in the right occipital lobe was detected on a scan 1 month later, though the other 2 lesions continued to shrink. The treatment was continued, MRI and CT scans suggested complete response (CR) was achieved for both the BM and lung lesions after 3 cycles. Consolidation therapy with TMZ and pembrolizumab (100 mg) per month was considered for another 7 months. Maintenance monotherapy with pembrolizumab (100 mg) was selected because of his stable CR status. At 59 months since diagnosis, the patient remains alive, with CR for both the primary lesions and BM. The patient experienced slight numbness on each side of his feet. There was no occurrence of adverse effects greater than grade 3. Conclusions The data indicates that immunotherapy combined with TMZ for untreated BM in NSCLC patients maybe an efficient and safe decision making therapeutic choice. Despite the encouraging efficacy of the combination, it is an isolated case and the speculation of synergism need to be proved in further pharmacokinetic/pharmacodynamic studies even in large randomized controlled trials.
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Affiliation(s)
- Xianmin Zhu
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuang Dong
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Tang
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rong Xie
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huijing Wu
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Paul Hofman
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, Pasteur Hospital, BB-0033-00025, CHU Nice, Université Côte d'Azur, Nice, France
| | - Maciej M Mrugala
- Department of Neurology and Oncology, Comprehensive Neuro-Oncology Program, Mayo Clinic Cancer Center, Phoenix, AZ, USA
| | - Sheng Hu
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Coelho JC, de Souza Carvalho G, Chaves F, de Marchi P, de Castro G, Baldotto C, Mascarenhas E, Pacheco P, Gomes R, Werutsky G, Araujo LH. Non-Small-Cell Lung Cancer With CNS Metastasis: Disparities From a Real-World Analysis (GBOT-LACOG 0417). JCO Glob Oncol 2022; 8:e2100333. [PMID: 35467932 PMCID: PMC9067364 DOI: 10.1200/go.21.00333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Despite the advances in the approach to non–small-cell lung cancer (NSCLC) with CNS metastasis, access to timely diagnosis and treatment may not be optimal in many instances. Our main objective was to describe a cohort of patients with NSCLC with brain metastases from public and private cancer centers, and the differences between patients' presentation, treatment, and outcomes. Worse survival in lung cancer patients with brain metastasis from public institutions.![]()
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Affiliation(s)
| | | | | | - Pedro de Marchi
- Fundação Pio XII-Hospital de Câncer de Barretos, Barretos, Brazil
| | - Gilberto de Castro
- Grupo Brasileiro de Oncologia Torácica, Porto Alegre, Brazil.,Instituto do Câncer do Estado de São Paulo, São Paulo, Brazil
| | - Clarissa Baldotto
- Grupo Brasileiro de Oncologia Torácica, Porto Alegre, Brazil.,Instituto COI, Rio De Janeiro, Brazil
| | - Eldsamira Mascarenhas
- Grupo Brasileiro de Oncologia Torácica, Porto Alegre, Brazil.,Núcleo de Oncologia da Bahia (NOB), Salvador, Brazil
| | | | - Rafaela Gomes
- Latin American Cooperative Oncology Group, Porto Alegre, Brazil
| | | | - Luiz H Araujo
- Instituto Nacional de Câncer, Rio de Janeiro, Brazil.,Grupo Brasileiro de Oncologia Torácica, Porto Alegre, Brazil.,Instituto COI, Rio De Janeiro, Brazil
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5
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Huang Q, Zhang H, Hai J, Socinski MA, Lim E, Chen H, Stebbing J. Impact of PD-L1 expression, driver mutations and clinical characteristics on survival after anti-PD-1/PD-L1 immunotherapy versus chemotherapy in non-small-cell lung cancer: A meta-analysis of randomized trials. Oncoimmunology 2018; 7:e1396403. [PMID: 30524878 DOI: 10.1080/2162402x.2017.1396403] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Revised: 10/18/2017] [Accepted: 10/20/2017] [Indexed: 12/26/2022] Open
Abstract
Purpose: To investigate the impact of programmed death-ligand 1 (PD-L1) expression, oncogenic mutations, and clinical characteristics on survival after treatment with anti-PD-1/PD-L1 antibodies versus chemotherapy in non-small cell lung cancer (NSCLC). Patients and Methods: This meta-analysis included randomized trials comparing anti-PD-1/PD-L1 antibodies with chemotherapy. Hazard ratios (HRs) and 95% confidence interval (CI) for overall survival (OS) for the trial population and prespecified subgroups were extracted. We calculated pooled estimates of treatment efficacy using the fixed-effects or random-effects model when appropriate. All statistical tests were two sided. Results: Seven trials involving 3871 patients were included. The pooled results showed that anti-PD-1/PD-L1 immunotherapy significantly prolonged OS (HR: 0.73; 95% CI, 0.63 to 0.84) and PFS (HR: 0.84; 95% CI, 0.71 to 0.99) compared to chemotherapy. OS benefit from immunotherapy were observed in all PD-L1 expression subgroups (negative: HR, 0.79; 95% CI, 0.67 to 0.93; weak-positive: HR, 0.80; 95% CI, 0.67 to 0.95; strong-positive: HR, 0.61; 95% CI, 0.47 to 0.78). Strong-positive PD-L1 expression showed a trend towards more benefit compared to weak-positive PD-L1 expression (interaction P = 0.08). KRAS mutant (HR: 0.60; 95% CI, 0.39 to 0.93), EGFR wild-type (HR: 0.73; 95% CI, 0.61 to 0.87) and smoker (HR: 0.70; 95% CI, 0.60 to 0.83) subgroups achieved significant OS benefit from immunotherapy compared to corresponding subgroups. Survival benefit to immunotherapy was not significantly associated with histology, CNS metastases, age, gender and performance status. Conclusion: This study confirmed that treatment with anti-PD-1/PD-L1 improves overall survival compared with chemotherapy. Benefit was seen, regardless of PD-L1 expression levels; however, PD-L1 strong-positive patients trended to have greatest benefit. Patients with a KRAS mutant or EGFR wild-type tumor have improved survival benefit from immunotherapy compared with KRAS wild-type or EGFR mutant NSCLC, respectively.
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Affiliation(s)
- Qingyuan Huang
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Hua Zhang
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Josephine Hai
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Mark A Socinski
- Thoracic Oncology Program, Florida Hospital Cancer Institute, Orlando, Florida, USA
| | - Eric Lim
- Imperial College London and The Academic Division of Thoracic Surgery, Royal Brompton Hospital, London, UK
| | - Haiquan Chen
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Justin Stebbing
- Department of Surgery and Cancer, Imperial College London, London, UK
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Sun YW, Xu J, Zhou J, Liu WJ. Targeted drugs for systemic therapy of lung cancer with brain metastases. Oncotarget 2017; 9:5459-5472. [PMID: 29435193 PMCID: PMC5797064 DOI: 10.18632/oncotarget.23616] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 10/28/2017] [Indexed: 02/07/2023] Open
Abstract
Brain metastases are very common in lung cancer patients. The condition of these patients is complicated and difficult to treat, and adverse reactions following treatment can affect the nervous system, which severely reduces quality of life. Lung cancers are categorized as small cell lung cancers and non-small cell lung cancers. Patients with brain metastasis of small cell lung cancers are generally treated with brain radiotherapy and systemic chemotherapy, but stage III/IV patients with brain metastasis of non-small cell lung cancers are generally not responsive to radiotherapy or chemotherapy. With the recent development of targeted drugs, tumor molecular profile detection allows the selection of appropriate targeted drugs for adjuvant pharmacological treatment of brain metastasis in lung cancer patients. In recent years, immune checkpoint inhibitors have emerged and have been approved by the Food and Drug Administration (FDA) for the treatment of certain cancers, but their efficacy in lung cancer patients with brain metastases still needs to be confirmed. This paper focuses on highlighting drugs for targeted therapy of brain metastasis in lung cancer patients and their molecular targets and mechanisms of drug resistance.
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Affiliation(s)
- Ya-Wen Sun
- Shandong Cancer Hospital and Institute, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China
| | - Jian Xu
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.,Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Zhou
- University of South Carolina, Computer Science and Engineering Department, Columbia, SC, USA
| | - Wen-Juan Liu
- Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, China
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7
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Liu Y, Liu XH, Wang Y, Zhu J, Xin Y, Niu K, Wang S, Cheng Y. A study on different therapies and prognosis-related factors for 101 patients with SCLC and brain metastases. Cancer Biol Ther 2017; 18:670-675. [PMID: 28812423 DOI: 10.1080/15384047.2017.1360450] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
OBJECTIVE There is a need to explore multi-discipline general treatment modes to improve the survival period of patients with SCLC and brain metastases undergoing standard radiotherapy treatment. METHODS A total of 101 patients with SCLC and brain metastases were included into this study. These patients were classified into 4 groups, based on different treatment modes: chemotherapy group, brain radiotherapy group, brain radiotherapy combined with sequential chemotherapy, and chemotherapy combined with sequential brain radiotherapy. Recent and long-term curative effects were compared among the 4 groups. RESULTS A RR of 42.57% was determined for all 4 groups, and median PFS and OS was 11.56 and 17.32 months, respectively. After SCLC with brain metastases manifested in the limited stage, the difference in median survival period was not statistically significant among the 4 treatment groups (P = 0.29). At the extensive stage of SCLC, survival period was superior in the brain radiotherapy combined with sequential chemotherapy group, compared with other groups (P<0.05). Furthermore, median survival period in the brain radiotherapy combined with sequential chemotherapy group was 15.5 ± 1.03 months. This was followed by 12.0 ± 3.06 months in the chemotherapy combined with sequential brain radiotherapy group, 8.0 ± 1.49 months in the chemotherapy group, and 8.0 ± 0.43 months in the brain radiotherapy group. CONCLUSION Combining chemotherapy with brain radiotherapy is a better treatment mode compared with single therapy for treating SCLC with brain metastases. Furthermore, it is recommended for patients in the extensive stage to initially receive brain radiotherapy.
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Affiliation(s)
- Ying Liu
- a Department of Oncology , Jinlin provincial Cancer Hospital , Changchun , China
| | - Xian-Hong Liu
- a Department of Oncology , Jinlin provincial Cancer Hospital , Changchun , China
| | - Ying Wang
- a Department of Oncology , Jinlin provincial Cancer Hospital , Changchun , China
| | - Jing Zhu
- a Department of Oncology , Jinlin provincial Cancer Hospital , Changchun , China
| | - Ying Xin
- a Department of Oncology , Jinlin provincial Cancer Hospital , Changchun , China
| | - Kai Niu
- a Department of Oncology , Jinlin provincial Cancer Hospital , Changchun , China
| | - Sheng Wang
- a Department of Oncology , Jinlin provincial Cancer Hospital , Changchun , China
| | - Ying Cheng
- a Department of Oncology , Jinlin provincial Cancer Hospital , Changchun , China
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