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Zhang W, Chen X, Chen X, Li J, Wang H, Yan X, Zha H, Ma X, Zhao C, Su M, Hong L, Li P, Ling Y, Zhao W, Xia Y, Li B, Zheng T, Gu J. Fc-Fc interactions and immune inhibitory effects of IgG4: implications for anti-PD-1 immunotherapies. J Immunother Cancer 2024; 12:e009034. [PMID: 38925680 PMCID: PMC11203076 DOI: 10.1136/jitc-2024-009034] [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] [Accepted: 05/20/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND The majority of anti-programmed cell-death 1 (PD-1) monoclonal antibodies (mAbs) use S228P mutation IgG4 as the structural basis to avoid the activation of immune cells or complement. However, little attention has been paid to the Fc-Fc interactions between IgG4 and other IgG Fc fragments that could result in adverse effects. Fc-null IgG1 framework is a potential safer alternative to avoid the undesirable Fc-Fc interactions and Fc receptor binding derived effects observed with IgG4. This study provides a comprehensive evaluation of anti-PD-1 mAbs of these two frameworks. METHODS Trastuzumab and rituximab (both IgG1), wildtype IgG1 and IgG4 were immobilized on nitrocellulose membranes, coated to microplates and biosensor chips, and bound to tumor cells as targets for Fc-Fc interactions. Wildtype IgG1 and IgG4, anti-PD-1 mAb nivolumab (IgG4 S228P), penpulimab (Fc-null IgG1), and tislelizumab (Fc-null IgG4 S228P-R409K) were assessed for their binding reactions to the immobilized IgG proteins and quantitative kinetic data were obtained. To evaluate the effects of the two anti-PD-1 mAbs on immune responses mediated by trastuzumab and rituximab in the context of combination therapy, we employed classic immune models for antibody-dependent cellular cytotoxicity, antibody-dependent cellular phagocytosis, and complement dependent cytotoxicity. Tumor-bearing mouse models, both wildtype and humanized, were used for in vivo investigation. Furthermore, we also examined the effects of IgG1 and IgG4 on diverse immune cell populations RESULTS: Experiments demonstrated that wildtype IgG4 and nivolumab bound to immobilized IgG through Fc-Fc interactions, diminishing antibody-dependent cell-mediated cytotoxicity and phagocytosis reactions. Quantitative analysis of kinetic parameters suggests that nivolumab and wildtype IgG4 exhibit comparable binding affinities to immobilized IgG1 in both non-denatured and denatured states. IgG4 exerted inhibitory effects on various immune cell types. Wildtype IgG4 and nivolumab both promoted tumor growth in wildtype mouse models. Conversely, wildtype IgG1, penpulimab, and tislelizumab did not show similar adverse effects. CONCLUSIONS Fc-null IgG1 represents a safer choice for anti-PD-1 immunotherapies by avoiding both the adverse Fc-Fc interactions and Fc-related immune inhibitory effects of IgG4. Fc-null IgG4 S228P-R409K and Fc-null IgG1 displayed similar structural properties and benefits. This study contributes to the understanding of immunotherapy resistance and the advancement of safer immune therapies for cancer.
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Affiliation(s)
- Weifeng Zhang
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
| | - Xueling Chen
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
| | - Xingxing Chen
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
| | - Jirui Li
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
| | - Hui Wang
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
| | - Xiaomiao Yan
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
- Jinxin Research Institute for Reproductive Medicine and Genetics, Xinan Hospital for Maternal and Child Health Care, Chengdu, China
| | - Han Zha
- The People's Hospital of Qijiang District Chongqing, Chongqing, China
| | - Xiaonan Ma
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
| | - Chanyuan Zhao
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
| | - Meng Su
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
| | - Liangli Hong
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
| | - Penghao Li
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
- Jinxin Research Institute for Reproductive Medicine and Genetics, Xinan Hospital for Maternal and Child Health Care, Chengdu, China
| | - Yanyu Ling
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
| | - Wenhui Zhao
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
| | - Yu Xia
- Akeso Biopharma Inc, Zhongshan, China
| | | | - Tianjing Zheng
- Chia Tai Tianqing Pharmaceutical Group Co., LTD, Nanjing, China
| | - Jiang Gu
- Guangdong Provincial International Collaborative Center of Molecular Medicine, Center of Collaboration and Creative, Molecular Diagnosis and Personalized Medical, Department of Pathology and Pathophysiology, Shantou University Medical College, Shantou, China
- Jinxin Research Institute for Reproductive Medicine and Genetics, Xinan Hospital for Maternal and Child Health Care, Chengdu, China
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Blanco E, Silva-Pilipich N, Bocanegra A, Chocarro L, Procopio A, Ausín K, Fernandez-Irigoyen J, Fernández L, Razquin N, Igea A, Garnica M, Echaide M, Arasanz H, Vera R, Escors D, Smerdou C, Kochan G. Oleuropein-driven reprogramming of the myeloid cell compartment to sensitise tumours to PD-1/PD-L1 blockade strategies. Br J Cancer 2024; 130:869-879. [PMID: 38195888 PMCID: PMC10912768 DOI: 10.1038/s41416-023-02561-y] [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: 06/19/2023] [Revised: 12/07/2023] [Accepted: 12/15/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Previous studies have shown that functional systemic immunity is required for the efficacy of PD-1/PD-L1 blockade immunotherapies in cancer. Hence, systemic reprogramming of immunosuppressive dysfunctional myeloid cells could overcome resistance to cancer immunotherapy. METHODS Reprogramming of tumour-associated myeloid cells with oleuropein was studied by quantitative differential proteomics, phenotypic and functional assays in mice and lung cancer patients. Combinations of oleuropein and two different delivery methods of anti-PD-1 antibodies were tested in colorectal cancer tumour models and in immunotherapy-resistant lung cancer models. RESULTS Oleuropein treatment reprogrammed monocytic and granulocytic myeloid-derived suppressor cells, and tumour-associated macrophages towards differentiation of immunostimulatory subsets. Oleuropein regulated major differentiation programmes associated to immune modulation in myeloid cells, which potentiated T cell responses and PD-1 blockade. PD-1 antibodies were delivered by two different strategies, either systemically or expressed within tumours using a self-amplifying RNA vector. Combination anti-PD-1 therapies with oleuropein increased tumour infiltration by immunostimulatory dendritic cells in draining lymph nodes, leading to systemic antitumour T cell responses. Potent therapeutic activities were achieved in colon cancer and lung cancer models resistant to immunotherapies, even leading to complete tumour regression. DISCUSSION Oleuropein significantly improves the outcome of PD-1/PD-L1 blockade immunotherapy strategies by reprogramming myeloid cells.
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Affiliation(s)
- Ester Blanco
- Oncoimmunology Unit, Navarrabiomed, Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Division of Gene Therapy and Regulation of Gene Expression, Cima Universidad de Navarra, Cancer Center Clínica Universidad Navarra (CCUN), and Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Spain
| | - Noelia Silva-Pilipich
- Division of Gene Therapy and Regulation of Gene Expression, Cima Universidad de Navarra, Cancer Center Clínica Universidad Navarra (CCUN), and Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Spain
| | - Ana Bocanegra
- Oncoimmunology Unit, Navarrabiomed, Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Luisa Chocarro
- Oncoimmunology Unit, Navarrabiomed, Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Antonio Procopio
- Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Karina Ausín
- Proteored-ISCIII, Proteomics Platform, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdISNA, Irunlarrea 3, 31008, Pamplona, Spain
| | - Joaquín Fernandez-Irigoyen
- Proteored-ISCIII, Proteomics Platform, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdISNA, Irunlarrea 3, 31008, Pamplona, Spain
| | - Leticia Fernández
- Oncoimmunology Unit, Navarrabiomed, Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Nerea Razquin
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research (CIMA), University of Navarra (UNAV), Pamplona, Spain
| | - Ana Igea
- Division of Gene Therapy and Regulation of Gene Expression, Cima Universidad de Navarra, Cancer Center Clínica Universidad Navarra (CCUN), and Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Spain
| | - Maider Garnica
- Oncoimmunology Unit, Navarrabiomed, Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Miriam Echaide
- Oncoimmunology Unit, Navarrabiomed, Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Hugo Arasanz
- Oncoimmunology Unit, Navarrabiomed, Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Medical Oncology Unit, Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Ruth Vera
- Medical Oncology Unit, Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - David Escors
- Oncoimmunology Unit, Navarrabiomed, Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.
| | - Cristian Smerdou
- Division of Gene Therapy and Regulation of Gene Expression, Cima Universidad de Navarra, Cancer Center Clínica Universidad Navarra (CCUN), and Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Spain.
| | - Grazyna Kochan
- Oncoimmunology Unit, Navarrabiomed, Fundación Miguel Servet, Universidad Pública de Navarra (UPNA), Hospital Universitario de Navarra (HUN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.
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Alkader MS, Altaha RZ, Jabali EH, Attieh OA, Matalqa AW. Is there an association between lymph node size and hyperprogression in immunotherapy-treated patients? ROMANIAN JOURNAL OF INTERNAL MEDICINE = REVUE ROUMAINE DE MEDECINE INTERNE 2024; 62:33-43. [PMID: 37882575 DOI: 10.2478/rjim-2023-0025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND Hyperprogressive disease (HPD) can be described as an accelerated increase in the growth rate of tumors combined with rapid clinical deterioration observed in a subset of cancer patients undergoing immunotherapy, specifically with immune checkpoint inhibitors (ICIs). The reported incidence of HPD ranges from 5.9% to 43.1% in patients receiving ICIs. In this context, identifying reliable predictive risk factors for HPD is crucial as it may allow for earlier intervention and ultimately improve patient outcomes. METHODS This study retrospectively analyzed ten metastatic renal cell carcinoma (mRCC) patients. The identification of HPD was based on the diagnostic criteria proposed by Ferrara R et al. This study aimed to investigate whether there is an association between LN size and HPD using a cutoff value of 3 cm for LN size. Given the limited sample size, Fisher's exact test was used to test this association. We conducted a Kaplan-Meier (KM) analysis to estimate the median overall survival (OS) of patients with HPD and compared it to those without HPD. RESULTS Three patients (30%) developed HPD, while seven (70%) did not. Fisher's exact test revealed a statistically significant association between the HPD and LN size ≥ 3 cm (p=0.008). In the HPD group, the median OS was significantly shorter, with a median OS of 3 months, whereas in the non-HPD group, the median OS was not reached (P =0.001). CONCLUSION The present study found a significant association between LN size ≥ 3 cm in the pretreatment period and HPD development.
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Affiliation(s)
- Mohammad S Alkader
- Department of Clinical Oncology, Military Cancer Center, Royal Medical Services, Amman, Jordan
| | - Rashed Z Altaha
- Department of Internal Medicine, Military Cancer Center, Royal Medical Services, Amman, Jordan
| | - Eslam H Jabali
- Department of nuclear medicine, Royal Medical Services, Amman, Jordan
| | - Ola A Attieh
- Department of nuclear medicine, Royal Medical Services, Amman, Jordan
| | - Ala' W Matalqa
- Department of Internal Medicine, Military Cancer Center, Royal Medical Services, Amman, Jordan
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4
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Wang CW, Biswas PK, Islam A, Chen MK, Chueh PJ. The Use of Immune Regulation in Treating Head and Neck Squamous Cell Carcinoma (HNSCC). Cells 2024; 13:413. [PMID: 38474377 DOI: 10.3390/cells13050413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/20/2024] [Accepted: 02/23/2024] [Indexed: 03/14/2024] Open
Abstract
Immunotherapy has emerged as a promising new treatment modality for head and neck cancer, offering the potential for targeted and effective cancer management. Squamous cell carcinomas pose significant challenges due to their aggressive nature and limited treatment options. Conventional therapies such as surgery, radiation, and chemotherapy often have limited success rates and can have significant side effects. Immunotherapy harnesses the power of the immune system to recognize and eliminate cancer cells, and thus represents a novel approach with the potential to improve patient outcomes. In the management of head and neck squamous cell carcinoma (HNSCC), important contributions are made by immunotherapies, including adaptive cell therapy (ACT) and immune checkpoint inhibitor therapy. In this review, we are focusing on the latter. Immune checkpoint inhibitors target proteins such as programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) to enhance the immune response against cancer cells. The CTLA-4 inhibitors, such as ipilimumab and tremelimumab, have been approved for early-stage clinical trials and have shown promising outcomes in terms of tumor regression and durable responses in patients with advanced HNSCC. Thus, immune checkpoint inhibitor therapy holds promise in overcoming the limitations of conventional therapies. However, further research is needed to optimize treatment regimens, identify predictive biomarkers, and overcome potential resistance mechanisms. With ongoing advancements in immunotherapy, the future holds great potential for transforming the landscape of oral tumor treatment and providing new hope for patients.
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Affiliation(s)
- Che-Wei Wang
- Institute of Biomedical Sciences, National Chung Hsing University, Taichung 40227, Taiwan
- Department of Otorhinolaryngology-Head and Neck Surgery, Changhua Christian Hospital, Changhua 50006, Taiwan
| | - Pulak Kumar Biswas
- Institute of Molecular Medicine, National Cheng Kung University, Tainan 70101, Taiwan
| | - Atikul Islam
- Institute of Biomedical Sciences, National Chung Hsing University, Taichung 40227, Taiwan
| | - Mu-Kuan Chen
- Department of Otorhinolaryngology-Head and Neck Surgery, Changhua Christian Hospital, Changhua 50006, Taiwan
| | - Pin Ju Chueh
- Institute of Biomedical Sciences, National Chung Hsing University, Taichung 40227, Taiwan
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5
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Fournier M, Mortier L, Dereure O, Dalac S, Oriano B, Dalle S, Lebbé C. Hyperprogression in advanced melanoma is not restricted to immunotherapy. Eur J Cancer 2023; 193:113289. [PMID: 37690179 DOI: 10.1016/j.ejca.2023.113289] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 07/28/2023] [Accepted: 08/01/2023] [Indexed: 09/12/2023]
Abstract
BACKGROUND The definition of hyperprogressive disease (HPD) is controversial in the literature and has not been widely described in melanoma. The aim of this study was to determine whether the concept of HPD applies to patients treated for advanced melanoma, using a definition with a simple, reproducible criterion, and to determine whether it is possible to identify predictive factors for HPD. METHODS This was a retrospective analysis on a prospective cohort. The data were extracted from MelBase, a French prospective, multicentre cohort of adult patients with advanced melanoma. The patients, following informed consent, were treated prospectively with anti-PD1, ipilimumab+nivolumab, BRAF/MEKi, or chemotherapy, 1st line or thereafter. HPD was defined, within 3 months following the start of the treatment, with the help of a clinical and biological criterion using Response Evaluation Criteria in Solid Tumours, Eastern Cooperative Oncology Group Performance Score, and lactate dehydrogenase. RESULTS The occurrence of HPD in the 4 groups was as follows (numbers of patients out of the total number): anti-PD1 98/1004 (10%), ipilumumab +nivolumab 19/327 (6%), targeted therapy 31/751 (4%), and chemotherapy 40/397 (10%). In the anti programmed cell death protein 1 (APD1) group, the relevant risk factors for HPD were: more than 3 metastatic sites (p = 0.03) and liver metastasis (p < 0.001). CONCLUSION This data, thanks to relevant clinical and biological criteria feasible in daily practice, supports the presence of a subgroup whose disease deteriorates rapidly during mono-immunotherapy. Also observed with other treatments, HPD could be the consequence of a natural and aggressive evolution of the disease, alleviated by strong-acting treatments.
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Affiliation(s)
- Marie Fournier
- Université de Paris Cité, AP-HP Hôpital Saint-Louis, Dermatology Department, Paris, France.
| | | | - Olivier Dereure
- University of Montpellier, Department of Dermatology, Montpellier, France.
| | - Sophie Dalac
- CHU de Dijon, Dermatology Department, Dijon, France.
| | - Bastien Oriano
- Université de Paris Cité, AP-HP Hôpital Saint-Louis, Dermatology Department, Paris, France.
| | | | - Céleste Lebbé
- Université Paris Cite, Dermato-Oncology AP-HP Hôpital Saint Louis, Cancer Institute APHP, Nord-Université Paris Cite, INSERM U976, F-75010 Paris, France.
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Long Y, Yang W, Bai Y, Tao H, Zhang F, Wang L, Yang B, Huang D, Han X, Hu Y. Prediction model for hyperprogressive disease in patients with advanced solid tumors received immune-checkpoint inhibitors: a pan-cancer study. Cancer Cell Int 2023; 23:224. [PMID: 37777758 PMCID: PMC10543870 DOI: 10.1186/s12935-023-03070-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 09/17/2023] [Indexed: 10/02/2023] Open
Abstract
BACKGROUND Hyper progressive disease (HPD) describes the phenomenon that patients can't benefit from immunotherapy but cause rapid tumor progression. HPD is a particular phenomenon in immunotherapy but lacks prediction methods. Our study aims to screen the factors that may forecast HPD and provide a predictive model for risky stratifying. METHODS We retrospectively reviewed advanced-stage tumor patients who received immune checkpoint inhibitors (ICI) in the General PLA Hospital. Subsequently, we calculated the tumor growth kinetics ratio (TGKr) and identified typical HPD patients. Differences analysis of clinical characteristics was performed, and a predictive binary classification model was constructed. RESULTS 867 patients with complete image information were screened from more than 3000 patients who received ICI between January 2015 and January 2020. Among them, 36 patients were identified as HPD for TGKr > 2. After the propensity score matched, confounding factors were limited. Survival analysis revealed that the clinical outcome of HPD patients was significantly worse than non-HPD patients. Besides, we found that Body Mass Index (BMI), anemia, lymph node metastasis in non-draining areas, pancreatic metastasis, and whether combined with anti-angiogenesis or chemotherapy therapy were closely connected with the HPD incidence. Based on these risk factors, we constructed a visualised predicted nomogram model, and the Area Under Curve (AUC) is 0.850 in the train dataset, whereas 0.812 in the test dataset. CONCLUSION We carried out a retrospective study for HPD based on real-world patients and constructed a clinically feasible and practical model for predicting HPD incidence, which could help oncologists to stratify risky patients and select treatment strategies.
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Affiliation(s)
- Yaping Long
- School of Medicine, Nankai University, 94 Weijin Road, Nankai, Tianjin, China
| | - Wenyu Yang
- School of Medicine, Nankai University, 94 Weijin Road, Nankai, Tianjin, China
| | - Yibing Bai
- PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, People's Republic of China
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China
| | - Haitao Tao
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China
| | - Fan Zhang
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China
| | - Lijie Wang
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China
| | - Bo Yang
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China
| | - Di Huang
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China
| | - Xiao Han
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China.
| | - Yi Hu
- School of Medicine, Nankai University, 94 Weijin Road, Nankai, Tianjin, China.
- PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, People's Republic of China.
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China.
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Pinter M, Scheiner B, Pinato DJ. Immune checkpoint inhibitors in hepatocellular carcinoma: emerging challenges in clinical practice. Lancet Gastroenterol Hepatol 2023:S2468-1253(23)00147-4. [PMID: 37327807 DOI: 10.1016/s2468-1253(23)00147-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/13/2023] [Accepted: 04/25/2023] [Indexed: 06/18/2023]
Abstract
Systemic therapy for advanced hepatocellular carcinoma has expanded at an unprecedented pace over the past 5 years. After tyrosine kinase inhibitors dominated the field for more than a decade, immune checkpoint inhibitor (ICI)-based therapies have become the main component in systemic first-line treatment of this cancer. Delivery of immunotherapy in routine clinical practice recognises several challenges. In this Viewpoint, we discuss the major gaps in knowledge around the role of ICI-based therapies in patients with Child-Pugh class B. We discuss the challenges in individuals with rare histological subtypes of primary liver cancer, including combined hepatocellular-cholangiocarcinoma, fibrolamellar hepatocellular carcinoma, and sarcomatoid hepatocellular carcinoma. We also review data on ICI rechallenge in patients previously treated with ICIs, and discuss atypical patterns of progression related to immunotherapy (ie, hyperprogressive disease and pseudoprogression).
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Affiliation(s)
- Matthias Pinter
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; Liver Cancer (HCC) Study Group Vienna, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
| | - Bernhard Scheiner
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; Liver Cancer (HCC) Study Group Vienna, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; Department of Surgery & Cancer, Imperial College London, Hammersmith Hospital, London, UK
| | - David J Pinato
- Department of Surgery & Cancer, Imperial College London, Hammersmith Hospital, London, UK; Division of Oncology, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
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Zhou C, Guo L, Cai Q, Xi W, Yuan F, Zhang H, Yan C, Huang L, Zhu Z, Zhang J. Circulating neutrophils activated by cancer cells and M2 macrophages promote gastric cancer progression during PD-1 antibody-based immunotherapy. Front Mol Biosci 2023; 10:1081762. [PMID: 37333017 PMCID: PMC10269372 DOI: 10.3389/fmolb.2023.1081762] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 05/11/2023] [Indexed: 06/20/2023] Open
Abstract
Aims: To analyze the correlation between the neutrophil-to-lymphocyte ratio (NLR) and prognosis of advanced gastric cancer (AGC) patients treated by PD-1 antibody-based therapy and to delineate molecular characteristics of circulating neutrophils by single-cell RNA sequencing (scRNA-seq). Methods: The clinicopathological information of 45 AGC patients receiving PD-1 antibody-based regimens at the Department of Oncology, Ruijin Hospital, was reviewed. Treatment outcomes including objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) were recorded. The correlation between NLR and efficacy of PD-1 antibody-based treatment was analyzed. Single-cell RNA sequencing (scRNA-seq) analysis was performed based on multisite biopsy samples from two AGC patients to explore the molecular characteristics of circulating neutrophils and their pro-tumor mechanisms. Tissue samples from 88 gastric cancer patients who underwent radial gastrectomy were collected for immunochemistry staining. Results: A high posttreatment NLR was associated with poor outcomes of AGC patients receiving PD-1 antibody-based regimens. scRNA-seq analysis showed that an increased number of circulating neutrophils were found in peripheral blood samples after treatment in which neutrophil cluster 1 (NE-1) was the major subcluster. NE-1 was featured with a neutrophil activation phenotype with the high expression of MMP9, S100A8, S100A9, PORK2, and TGF-β1. NE-1 displayed an intermediate state in pseudotime trajectory analysis with gene function enrichment found in neutrophil activation, leukocyte chemotaxis, and negative regulation of MAP kinase activity. Cellular interaction analysis showed that the chemokine signaling pathway is the major interactional pathway of NE-1 between subclusters of malignant epithelial cells (EP-4) and M2 macrophages (M2-1 and M2-2). In turn, the MAPK signaling pathway and Jak-STAT signaling pathway of EP-4, including IL1B/IL1RAP, OSM/OSMR, and TGFB1/TGFBR2 axes, were identified as interacting pathways between EP-4 and NE-1. The high expression of OSMR in tumor cells was closely correlated with lymph node metastasis of gastric cancer. Conclusion: The posttreatment NLR could be a poor prognostic marker of AGC patients treated with immune checkpoint inhibitors (ICIs). Subclusters of circulating neutrophils activated by tumor cells and M2 macrophages could participate in gastric cancer progression through signaling interactions with tumor cells.
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Affiliation(s)
- Chenfei Zhou
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Oncology, Wuxi Branch of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Wuxi, China
| | - Liting Guo
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qu Cai
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenqi Xi
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fei Yuan
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huan Zhang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chao Yan
- Department of Gastrointestinal Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Huang
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhenggang Zhu
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Gastrointestinal Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Zhang
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Oncology, Wuxi Branch of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Wuxi, China
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9
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Russano M, La Cava G, Cortellini A, Citarella F, Galletti A, Di Fazio GR, Santo V, Brunetti L, Vendittelli A, Fioroni I, Pantano F, Tonini G, Vincenzi B. Immunotherapy for Metastatic Non-Small Cell Lung Cancer: Therapeutic Advances and Biomarkers. Curr Oncol 2023; 30:2366-2387. [PMID: 36826142 PMCID: PMC9955173 DOI: 10.3390/curroncol30020181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/13/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023] Open
Abstract
Immunotherapy has revolutionized the treatment paradigm of non-small cell lung cancer and improved patients' prognosis. Immune checkpoint inhibitors have quickly become standard frontline treatment for metastatic non-oncogene addicted disease, either as a single agent or in combination strategies. However, only a few patients have long-term benefits, and most of them do not respond or develop progressive disease during treatment. Thus, the identification of reliable predictive and prognostic biomarkers remains crucial for patient selection and guiding therapeutic choices. In this review, we provide an overview of the current strategies, highlighting the main clinical challenges and novel potential biomarkers.
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Affiliation(s)
- Marco Russano
- Department of Medical Oncology, Campus Bio-Medico University of Rome, Via Álvaro del Portillo, 21, 00128 Rome, Italy
- Correspondence: ; Tel.: +39-06225411252
| | - Giulia La Cava
- Department of Medical Oncology, Campus Bio-Medico University of Rome, Via Álvaro del Portillo, 21, 00128 Rome, Italy
| | - Alessio Cortellini
- Department of Medical Oncology, Campus Bio-Medico University of Rome, Via Álvaro del Portillo, 21, 00128 Rome, Italy
| | - Fabrizio Citarella
- Department of Medical Oncology, Campus Bio-Medico University of Rome, Via Álvaro del Portillo, 21, 00128 Rome, Italy
| | - Alessandro Galletti
- Division of Medical Oncology, San Camillo Forlanini Hospital, 00152 Roma, Italy
| | - Giuseppina Rita Di Fazio
- Department of Medical Oncology, Campus Bio-Medico University of Rome, Via Álvaro del Portillo, 21, 00128 Rome, Italy
| | - Valentina Santo
- Department of Medical Oncology, Campus Bio-Medico University of Rome, Via Álvaro del Portillo, 21, 00128 Rome, Italy
| | - Leonardo Brunetti
- Department of Medical Oncology, Campus Bio-Medico University of Rome, Via Álvaro del Portillo, 21, 00128 Rome, Italy
| | - Alessia Vendittelli
- Department of Medical Oncology, Campus Bio-Medico University of Rome, Via Álvaro del Portillo, 21, 00128 Rome, Italy
| | - Iacopo Fioroni
- Department of Medical Oncology, Campus Bio-Medico University of Rome, Via Álvaro del Portillo, 21, 00128 Rome, Italy
| | - Francesco Pantano
- Department of Medical Oncology, Campus Bio-Medico University of Rome, Via Álvaro del Portillo, 21, 00128 Rome, Italy
| | - Giuseppe Tonini
- Department of Medical Oncology, Campus Bio-Medico University of Rome, Via Álvaro del Portillo, 21, 00128 Rome, Italy
| | - Bruno Vincenzi
- Department of Medical Oncology, Campus Bio-Medico University of Rome, Via Álvaro del Portillo, 21, 00128 Rome, Italy
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10
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Leading Edge: Intratumor Delivery of Monoclonal Antibodies for the Treatment of Solid Tumors. Int J Mol Sci 2023; 24:ijms24032676. [PMID: 36768997 PMCID: PMC9917067 DOI: 10.3390/ijms24032676] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/27/2023] [Accepted: 01/28/2023] [Indexed: 02/02/2023] Open
Abstract
Immunotherapies based on immune checkpoint blockade have shown remarkable clinical outcomes and durable responses in patients with many tumor types. Nevertheless, these therapies lack efficacy in most cancer patients, even causing severe adverse events in a small subset of patients, such as inflammatory disorders and hyper-progressive disease. To diminish the risk of developing serious toxicities, intratumor delivery of monoclonal antibodies could be a solution. Encouraging results have been shown in both preclinical and clinical studies. Thus, intratumor immunotherapy as a new strategy may retain efficacy while increasing safety. This approach is still an exploratory frontier in cancer research and opens up new possibilities for next-generation personalized medicine. Local intratumor delivery can be achieved through many means, but an attractive approach is the use of gene therapy vectors expressing mAbs inside the tumor mass. Here, we summarize basic, translational, and clinical results of intratumor mAb delivery, together with descriptions of non-viral and viral strategies for mAb delivery in preclinical and clinical development. Currently, this is an expanding research subject that will surely play a key role in the future of oncology.
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11
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Kanjanapan Y, Guduguntla G, Varikara AK, Szajer J, Yip D, Cockburn J, Fadia M. Hyperprogressive Disease (HPD) in Solid Tumours Receiving Immune Checkpoint Inhibitors in a Real-World Setting. Technol Cancer Res Treat 2023; 22:15330338231209129. [PMID: 37885403 PMCID: PMC10612441 DOI: 10.1177/15330338231209129] [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: 06/15/2023] [Revised: 09/15/2023] [Accepted: 10/04/2023] [Indexed: 10/28/2023] Open
Abstract
Introduction: Hyperprogressive disease (HPD) is a state of accelerated tumor growth from cancer immunotherapy, associated with poor outcome. The reported incidence is 6% to 29% among studies using varying definitions of HPD, with no predictive biomarkers. Tumor infiltrating lymphocytes (TILs) are prognostic and predictive for immunotherapy benefit in various tumor types, but have only been tested for correlation with HPD in one study. Objectives: The objective of the study was to determine the prevalence of HPD in solid tumor patients treated with immune checkpoint inhibitor therapy in a real-world setting, and to assess clinicopathological features as potential biomarkers for HPD. Methods: We conducted a retrospective analysis of solid tumor patients treated with immune checkpoint inhibitors at a single institution. Imaging pre-immunotherapy and postimmunotherapy were assessed for HPD, and correlated against clinicopathological factors, including TILs and programmed death-ligand 1 (PD-L1) status through archival tumor assessment. HPD was defined per Matos et al as response evaluation criteria in solid tumors (RECIST) progressive disease, minimum increase in measurable lesions of 10 mm, plus increase of ≥40% in sum of target lesions compared with baseline and/or increase of ≥20% in sum of target lesions compared with baseline plus new lesions in at least 2 different organs. Results: HPD occurred in 11 of 87 patients (13%), and associated with inferior overall survival (median 5.5 months vs 18.3 months, P = .002). However, on multivariate analysis, only liver metastases (hazard ratio [HR] 4.66, 95% confidence interval [CI] 2.27-9.56, P < .001) and PD-L1 status (HR 0.53, 95% CI 0.30-0.95, P = .03) were significantly associated with survival. Presence of liver metastases correlated with occurence of HPD (P = .01). Age, sex, and monotherapy versus combination immunotherapy were not predictive for HPD. PD-L1 status and TILs were not associated with HPD. Conclusions: We found 13% HPD among solid tumor patients treated with immunotherapy, consistent with the range reported in prior series. Assessment for HPD is feasible outside of a clinical trials setting, using modified criteria that require comparison of 2 imaging studies. Liver metastases were associated with risk of HPD, while TILs and PD-L1 status were not predictive for HPD.
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Affiliation(s)
- Yada Kanjanapan
- Department of Medical Oncology, The Canberra Hospital, Canberra, Australia
- ANU Medical School, Australian National University, Canberra, Australia
| | - Geetha Guduguntla
- Department of Medical Imaging, The Canberra Hospital, Canberra, Australia
| | | | - Jeremy Szajer
- Department of Medical Imaging, The Canberra Hospital, Canberra, Australia
| | - Desmond Yip
- Department of Medical Oncology, The Canberra Hospital, Canberra, Australia
- ANU Medical School, Australian National University, Canberra, Australia
| | - John Cockburn
- ANU Medical School, Australian National University, Canberra, Australia
- Department of Medical Imaging, The Canberra Hospital, Canberra, Australia
| | - Mitali Fadia
- ANU Medical School, Australian National University, Canberra, Australia
- Department of Pathology, The Canberra Hospital, Canberra, Australia
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12
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Cutting-Edge CAR Engineering: Beyond T Cells. Biomedicines 2022; 10:biomedicines10123035. [PMID: 36551788 PMCID: PMC9776293 DOI: 10.3390/biomedicines10123035] [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: 10/29/2022] [Revised: 11/17/2022] [Accepted: 11/18/2022] [Indexed: 11/26/2022] Open
Abstract
Chimeric antigen receptor (CAR)-T adoptive cell therapy is one of the most promising advanced therapies for the treatment of cancer, with unprecedented outcomes in haematological malignancies. However, it still lacks efficacy in solid tumours, possibly because engineered T cells become inactive within the immunosuppressive tumour microenvironment (TME). In the TME, cells of the myeloid lineage (M) are among the immunosuppressive cell types with the highest tumour infiltration rate. These cells interact with other immune cells, mediating immunosuppression and promoting angiogenesis. Recently, the development of CAR-M cell therapies has been put forward as a new candidate immunotherapy with good efficacy potential. This alternative CAR strategy may increase the efficacy, survival, persistence, and safety of CAR treatments in solid tumours. This remains a critical frontier in cancer research and opens up a new possibility for next-generation personalised medicine to overcome TME resistance. However, the exact mechanisms of action of CAR-M and their effect on the TME remain poorly understood. Here, we summarise the basic, translational, and clinical results of CAR-innate immune cells and CAR-M cell immunotherapies, from their engineering and mechanistic studies to preclinical and clinical development.
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13
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Systemic CD4 Immunity and PD-L1/PD-1 Blockade Immunotherapy. Int J Mol Sci 2022; 23:ijms232113241. [PMID: 36362027 PMCID: PMC9655397 DOI: 10.3390/ijms232113241] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
PD-L1/PD-1 blockade immunotherapy has changed the therapeutic approaches for the treatment of many cancers. Nevertheless, the mechanisms underlying its efficacy or treatment failure are still unclear. Proficient systemic immunity seems to be a prerequisite for efficacy, as recently shown in patients and in mouse models. It is widely accepted that expansion of anti-tumor CD8 T cell populations is principally responsible for anti-tumor responses. In contrast, the role of CD4 T cells has been less studied. Here we review and discuss the evidence supporting the contribution of CD4 T cells to anti-tumor immunity, especially recent advances linking CD4 T cell subsets to efficacious PD-L1/PD-1 blockade immunotherapy. We also discuss the role of CD4 T cell memory subsets present in peripheral blood before the start of immunotherapies, and their utility as predictors of response.
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14
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Echaide M, Labiano I, Delgado M, Fernández de Lascoiti A, Ochoa P, Garnica M, Ramos P, Chocarro L, Fernández L, Arasanz H, Bocanegra A, Blanco E, Piñeiro-Hermida S, Morente P, Vera R, Alsina M, Escors D, Kochan G. Immune Profiling Uncovers Memory T-Cell Responses with a Th17 Signature in Cancer Patients with Previous SARS CoV-2 Infection Followed by mRNA Vaccination. Cancers (Basel) 2022; 14:cancers14184464. [PMID: 36139625 PMCID: PMC9496802 DOI: 10.3390/cancers14184464] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/08/2022] [Accepted: 09/12/2022] [Indexed: 11/28/2022] Open
Abstract
Simple Summary Cancer patients are considered a high-risk group for infectious diseases including COVID-19. The protective effects of vaccination are unclear in oncologic patients, as well as their duration. In this study antibody, T-cell and myeloid cell immunity were evaluated in three cohorts of healthy donors and oncologic patients, including those infected with SARS-CoV-2, BNT162b2-vaccinated (mRNA vaccine), and with previous COVID-19 and subsequently vaccinated. We concluded that vaccination was a poor inductor of cellular immunity towards the S protein. Memory T-cells were only detected in patients and healthy donors with COVID-19 previous to vaccination but with an accentuated Th17 inflammatory profile, together with elevated numbers of circulating neutrophils. Abstract It is unclear whether patients with cancer present inherently impaired responses to COVID-19 and vaccination due to their treatments, neoplastic diseases or both. To address this question, immune profiling was performed in three cohorts of healthy donors and oncologic patients: infected with SARS-CoV-2, BNT162b2-vaccinated, and with previous COVID-19 disease and subsequently vaccinated. Cancer patients showed good antibody responses to vaccination, but poor induction of T-cell responses towards the S protein when compared to infection. Following natural infection, the major targets for T-cells were the SARS-CoV-2 structural proteins M and S, but not the N protein. Similar to antibody titers, the T-cell responses quickly decayed after six months post-vaccination. Significant memory T-cell expansion was observed in vaccinated donors only if previously diagnosed with COVID-19 before undergoing vaccination. Oncologic patients with previous COVID-19 followed by vaccination exhibited potent IL-17+ CD4 and CD8 T-cell responses and elevated numbers of circulating neutrophils in peripheral blood.
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Affiliation(s)
- Miriam Echaide
- Oncoimmunology Group, Navarrabiomed, Fundación Miguel Servet-Hospital Universitario de Navarra-UPNA-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Ibone Labiano
- Oncobiona Group-Navarrabiomed-UPNA-IdiSNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Marina Delgado
- Oncobiona Group-Navarrabiomed-UPNA-IdiSNA, Irunlarrea 3, 31008 Pamplona, Spain
- Department of Medical Oncology, Hospital Universitario de Navarra-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Angela Fernández de Lascoiti
- Oncobiona Group-Navarrabiomed-UPNA-IdiSNA, Irunlarrea 3, 31008 Pamplona, Spain
- Department of Medical Oncology, Hospital Universitario de Navarra-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Patricia Ochoa
- Department of Medical Oncology, Hospital Universitario de Navarra-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Maider Garnica
- Oncoimmunology Group, Navarrabiomed, Fundación Miguel Servet-Hospital Universitario de Navarra-UPNA-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Pablo Ramos
- Oncoimmunology Group, Navarrabiomed, Fundación Miguel Servet-Hospital Universitario de Navarra-UPNA-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Luisa Chocarro
- Oncoimmunology Group, Navarrabiomed, Fundación Miguel Servet-Hospital Universitario de Navarra-UPNA-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Leticia Fernández
- Oncoimmunology Group, Navarrabiomed, Fundación Miguel Servet-Hospital Universitario de Navarra-UPNA-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Hugo Arasanz
- Oncoimmunology Group, Navarrabiomed, Fundación Miguel Servet-Hospital Universitario de Navarra-UPNA-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
- Department of Medical Oncology, Hospital Universitario de Navarra-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Ana Bocanegra
- Oncoimmunology Group, Navarrabiomed, Fundación Miguel Servet-Hospital Universitario de Navarra-UPNA-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Ester Blanco
- Oncoimmunology Group, Navarrabiomed, Fundación Miguel Servet-Hospital Universitario de Navarra-UPNA-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Sergio Piñeiro-Hermida
- Oncoimmunology Group, Navarrabiomed, Fundación Miguel Servet-Hospital Universitario de Navarra-UPNA-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Pilar Morente
- Oncoimmunology Group, Navarrabiomed, Fundación Miguel Servet-Hospital Universitario de Navarra-UPNA-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Ruth Vera
- Oncobiona Group-Navarrabiomed-UPNA-IdiSNA, Irunlarrea 3, 31008 Pamplona, Spain
- Department of Medical Oncology, Hospital Universitario de Navarra-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - Maria Alsina
- Oncobiona Group-Navarrabiomed-UPNA-IdiSNA, Irunlarrea 3, 31008 Pamplona, Spain
- Department of Medical Oncology, Hospital Universitario de Navarra-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
| | - David Escors
- Oncoimmunology Group, Navarrabiomed, Fundación Miguel Servet-Hospital Universitario de Navarra-UPNA-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
- Correspondence: (D.E.); (G.K.)
| | - Grazyna Kochan
- Oncoimmunology Group, Navarrabiomed, Fundación Miguel Servet-Hospital Universitario de Navarra-UPNA-IdISNA, Irunlarrea 3, 31008 Pamplona, Spain
- Correspondence: (D.E.); (G.K.)
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15
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Zhao Z, Bian J, Zhang J, Zhang T, Lu X. Hyperprogressive disease in patients suffering from solid malignancies treated by immune checkpoint inhibitors: A systematic review and meta-analysis. Front Oncol 2022; 12:843707. [PMID: 35992878 PMCID: PMC9381837 DOI: 10.3389/fonc.2022.843707] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Accepted: 06/06/2022] [Indexed: 11/18/2022] Open
Abstract
Introduction Hyperprogressive disease (HPD) is a paradoxically rapid disease progression during or shortly after antitumor treatment, especially immune checkpoint inhibitors (ICIs). Various diagnosis criteria of HPD cause heterogeneous incidence rates in different clinical research, and there is no consensus on potential risk factors associated with HPD occurrence. Hence, we aimed to summarize incidence of HPD in ICI treatment for solid tumors. Clinicopathological factors associated with HPD are also analyzed. Methods Clinical studies about HPD during/after ICI treatment of solid malignancies are included. Pubmed, Embase, and Cochrane library were searched for eligible studies published before October 7. The Newcastle–Ottawa scale was used to assess the quality of the included studies. Random effect and fixed effect models were, respectively, used for pooling incidence of HPD and analysis of risk factors for HPD. Heterogeneity, subgroup analysis, and publication bias were also analyzed. All meta-analysis was performed via R software (y -40v4.0.2). Results Forty-one studies with 6009 patients were included. The pooled incidence of HPD was 13.2% (95% CI, 11.2%–15.4%). Head and neck cancer (HNC) had the highest incidence of HPD (18.06%), and melanoma had the lowest (9.9%). Tumor types (P = .0248) and gender ratio (P = .0116) are sources of heterogeneity of pooled incidence of HPD. For five clinicopathological factors associated with HPD, only programmed cell death protein 1 ligand 1 (PD-L1) positivity was a preventive factor (odds ratio = 0.61, P <.05). High lactate dehydrogenase (LDH) level (OR = 1.51, P = .01), metastatic sites >2 (OR = 2.38, P <.0001), Eastern Cooperative Oncology Group Performance Score ≥2 (OR = 1.47, P = .02), and liver metastasis (OR = 3.06, P <.0001) indicate higher risk of HPD. Conclusions The pooled incidence of HPD was less than 15%, and HNC had the highest incidence of HPD. LDH and PD-L1 are remarkable biomarkers for prediction of HPD in future medical practice.
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Affiliation(s)
| | | | | | | | - Xin Lu
- *Correspondence: Xin Lu, ;
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16
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Zhao LP, Hu JH, Hu D, Wang HJ, Huang CG, Luo RH, Zhou ZH, Huang XY, Xie T, Lou JS. Hyperprogression, a challenge of PD-1/PD-L1 inhibitors treatments: potential mechanisms and coping strategies. Biomed Pharmacother 2022; 150:112949. [PMID: 35447545 DOI: 10.1016/j.biopha.2022.112949] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/01/2022] [Accepted: 04/08/2022] [Indexed: 11/29/2022] Open
Abstract
Immunotherapy is now a mainstay in cancer treatments. Programmed cell death 1 (PD-1)/programmed cell death ligand 1 (PD-L1) immune checkpoint inhibitor (ICI) therapies have opened up a new venue of advanced cancer immunotherapy. However, hyperprogressive disease (HPD) induced by PD-1/PD-L1 inhibitors caused a significant decrease in the overall survival (OS) of the patients, which compromise the efficacy of PD-1/PD-L1 inhibitors. Therefore, HPD has become an urgent issue to be addressed in the clinical uses of PD-1/PD-L1 inhibitors. The mechanisms of HPD remain unclear, and possible predictive factors of HPD are not well understood. In this review, we summarized the potential mechanisms of HPD and coping strategies that can effectively reduce the occurrence and development of HPD.
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Affiliation(s)
- Li-Ping Zhao
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Jun-Hu Hu
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Die Hu
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Hao-Jie Wang
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Chang-Gang Huang
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Ru-Hua Luo
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Zhao-Huang Zhou
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Xin-Yun Huang
- Department of Physiology and Biophysics, Weill Cornell Medical College of Cornell University, New York, NY 10065, USA.
| | - Tian Xie
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China.
| | - Jian-Shu Lou
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China.
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17
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CAR-T Cells for the Treatment of Lung Cancer. Life (Basel) 2022; 12:life12040561. [PMID: 35455052 PMCID: PMC9028981 DOI: 10.3390/life12040561] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 04/05/2022] [Accepted: 04/06/2022] [Indexed: 12/16/2022] Open
Abstract
Adoptive cell therapy with genetically modified T lymphocytes that express chimeric antigen receptors (CAR-T) is one of the most promising advanced therapies for the treatment of cancer, with unprecedented outcomes in hematological malignancies. However, the efficacy of CAR-T cells in solid tumors is still very unsatisfactory, because of the strong immunosuppressive tumor microenvironment that hinders immune responses. The development of next-generation personalized CAR-T cells against solid tumors is a clinical necessity. The identification of therapeutic targets for new CAR-T therapies to increase the efficacy, survival, persistence, and safety in solid tumors remains a critical frontier in cancer immunotherapy. Here, we summarize basic, translational, and clinical results of CAR-T cell immunotherapies in lung cancer, from their molecular engineering and mechanistic studies to preclinical and clinical development.
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18
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Sahin I, George A, Zhang S, Huntington KE, Ordulu Z, Zhou L, El-Deiry WS. Hyperprogression of a mismatch repair-deficient colon cancer in a humanized mouse model following administration of immune checkpoint inhibitor pembrolizumab. Oncotarget 2021; 12:2131-2146. [PMID: 34676046 PMCID: PMC8522841 DOI: 10.18632/oncotarget.28086] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 09/18/2021] [Indexed: 01/30/2023] Open
Abstract
Immunotherapy is an established treatment modality in oncology. However, in addition to primary or acquired therapy resistance with immune checkpoint blockade (ICB), hyperprogressive disease (HPD) or hyperprogression (HP) with acceleration of tumor growth occurs in a subset of patients receiving ICB therapy. A validated and predictive animal model would help investigate HPD/HP to develop new approaches for this challenging clinical entity. Using human cytotoxic T-cell line TALL-104 injected intraperitoneally into immunodeficient NCRU-nude athymic mice bearing mismatch repair-deficient (MMR-d) human colon carcinoma HCT116 p53-null (but not wild-type p53) tumor xenograft, we observed accelerated tumor growth after PD-1 blockade with pembrolizumab administration. There was increased colon tumor cell proliferation as determined by immunohistochemical Ki67 staining of tumor sections. There was no increase in MDM2 or MDM4/MDMX in the p53-null HCT116 cells versus the wild-type p53-expressing isogenic tumor cells, suggesting the effects in this model may be MDM2 or MDM4/MDMX-independent. Human cytokine profiling revealed changes in IFN-γ, TRAIL-R2/TNFRSF10B, TRANCE/TNFSF11/RANK L, CCL2/JE/MCP-1, Chitinase 3-like 1, IL-4 and TNF-α. This represents a novel humanized HPD mouse model with a link to deficiency of the p53 pathway of tumor suppression in the setting of MMR-d. Our novel humanized preclinical TALL-104/p53-null HCT116 mouse model implicates p53-deficiency in an MMR-d tumor as a possible contributor to HPD/HP and may help with evaluating therapeutic strategies in cancer immunotherapy to extend clinical benefits of ICB's in a broader patient population.
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Affiliation(s)
- Ilyas Sahin
- Laboratory of Translational Oncology and Experimental Cancer Therapeutics, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,Joint Program in Cancer Biology, Brown University and Lifespan Health System, Providence, RI, USA.,Division of Hematology/Oncology, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,Cancer Center at Brown University, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,Present Address: University of Florida Health Cancer Center, Gainesville, FL, USA.,These authors contributed equally to this work
| | - Andrew George
- Laboratory of Translational Oncology and Experimental Cancer Therapeutics, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,These authors contributed equally to this work
| | - Shengliang Zhang
- Laboratory of Translational Oncology and Experimental Cancer Therapeutics, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,Joint Program in Cancer Biology, Brown University and Lifespan Health System, Providence, RI, USA.,Cancer Center at Brown University, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,Department of Pathology & Laboratory Medicine, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,These authors contributed equally to this work
| | - Kelsey E Huntington
- Laboratory of Translational Oncology and Experimental Cancer Therapeutics, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,Pathobiology Graduate Program, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Zehra Ordulu
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Present Address: University of Florida Health Cancer Center, Gainesville, FL, USA
| | - Lanlan Zhou
- Laboratory of Translational Oncology and Experimental Cancer Therapeutics, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,Joint Program in Cancer Biology, Brown University and Lifespan Health System, Providence, RI, USA.,Cancer Center at Brown University, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,Department of Pathology & Laboratory Medicine, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Wafik S El-Deiry
- Laboratory of Translational Oncology and Experimental Cancer Therapeutics, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,Joint Program in Cancer Biology, Brown University and Lifespan Health System, Providence, RI, USA.,Division of Hematology/Oncology, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,Cancer Center at Brown University, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,Department of Pathology & Laboratory Medicine, The Warren Alpert Medical School of Brown University, Providence, RI, USA.,Pathobiology Graduate Program, Warren Alpert Medical School of Brown University, Providence, RI, USA.,Molecular and Cellular Biology Graduate Program, The Warren Alpert Medical School of Brown University, Providence, RI, USA
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