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Zhang X, Wang P, Shi G, Tang C, Xue H. AUNP-12 Near-Infrared Fluorescence Probes across NIR-I to NIR-II Enable In Vivo Detection of PD-1/PD-L1 Axis in the Tumor Microenvironment. Bioconjug Chem 2024; 35:1064-1074. [PMID: 38980173 DOI: 10.1021/acs.bioconjchem.4c00266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
The innovative PD-1/PD-L1 pathway strategy is gaining significant traction in cancer therapeutics. However, fluctuating response rates of 20-40% to PD-1/PD-L1 inhibitors, coupled with the risk of hyperprogression after immunotherapy, underscore the need for accurate patient selection and the identification of more beneficiaries. Molecular imaging, specifically near-infrared (NIR) fluorescence imaging, is a valuable alternative for real-time, noninvasive visualization of dynamic PD-L1 expression in vivo. This research introduces AUNP-12, a novel PD-L1-targeting peptide antagonist conjugated with Cy5.5 and CH1055 for first (NIR-I) and second near-infrared (NIR-II) imaging. These probes have proven to be effective in mapping PD-L1 expression across various mouse tumor models, offering insights into tumor-immune interactions. This study highlights the potential of AUNP-12-Cy5.5 and AUNP-12-CH1055 for guiding clinical immunotherapy through precise patient stratification and dynamic monitoring, supporting the shift toward molecular imaging for personalized cancer care.
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Affiliation(s)
- Xinyu Zhang
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Dongcheng District, Beijing 100730, China
| | - Ping Wang
- Department of Cardiology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese People's Liberation Army (PLA) General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China
| | - Guangyuan Shi
- University of Science and Technology of China, 96 Jinzhai Road, Hefei 230026, China
| | - Chu Tang
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710126, China
| | - Huadan Xue
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Dongcheng District, Beijing 100730, China
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Yang Y, Xin D, Guan L, Luo X, Wu H, Chu J, Xing J, Liu C, Wang F. Dual immunotherapy in advanced or metastatic non-small cell lung cancer: A network meta-analysis. Heliyon 2024; 10:e27576. [PMID: 38463838 PMCID: PMC10923855 DOI: 10.1016/j.heliyon.2024.e27576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 03/01/2024] [Accepted: 03/01/2024] [Indexed: 03/12/2024] Open
Abstract
Objectives Recently, there has been extensive research on dual immunotherapy for advanced or metastatic non-small cell lung cancer (NSCLC), yet a comprehensive evaluation is lacking. This study aimed to rank the available treatment options and assess the efficacy and safety of dual immunotherapy regimens through the implementation of a Bayesian network meta-analysis (NMA). Materials and methods A thorough search was conducted to recognize eligible randomized controlled trials (RCTs) on March 20, 2023. Overall survival (OS), progression-free survival (PFS), treatment-related adverse events (TRAEs) and grade ≥3 TRAEs were evaluated to identify the efficacy and safety of dual immunotherapy regimens. The surface under the cumulative ranking curve (SUCRA) and P score were employed to rank the treatments. Results Eleven clinical trials involving six different regimens were included in this study. The combination of anti-programmed cell death protein 1/programmed cell death ligand 1 (PD-1/PD-L1) antibodies with anti-T-cell immunoglobulin and ITIM domain (TIGIT) antibodies emerged as the most promising regimen for improving OS and PFS, followed by anti-PD-1/PD-L1 + anti-cytotoxic T lymphocyte antigen 4 (CTLA-4) + chemotherapy treatment and anti-PD-1/PD-L1 + anti-CTLA-4 treatment. The forest plots demonstrated that these three regimens were all superior to chemotherapy. The above results were observed in both unselected treatment line and first-line settings. The least likely to be associated with TRAEs and grade ≥3 TRAEs were respectively anti-CTLA-4 treatment and anti-PD-1/PD-L1 + anti-TIGIT treatment, with anti-PD-1/PD-L1 + anti-CTLA-4 + chemotherapy treatment to be the worst. Conclusions This NMA validated the promising efficacy and safety of dual immunotherapy in advanced or metastatic NSCLC. Among them, anti-PD-1/PD-L1 + anti-TIGIT regimen emerges as a highly potential therapeutic approach. Ongoing research efforts should focus on improving treatment regimens, identifying biomarkers, and managing TRAEs to optimize the patient benefits of dual immunotherapy.
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Affiliation(s)
- Yuanyuan Yang
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Dao Xin
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Lulu Guan
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Xi Luo
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Han Wu
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Jingwen Chu
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Jianxiang Xing
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Chengjiang Liu
- Department of General Medicine, Affiliated Anqing First People's Hospital of Anhui Medical University, Anqing 246000, China
| | - Feng Wang
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Zhang H, Mi J, Xin Q, Cao W, Song C, Zhang N, Yuan C. Recent research and clinical progress of CTLA-4-based immunotherapy for breast cancer. Front Oncol 2023; 13:1256360. [PMID: 37860188 PMCID: PMC10582933 DOI: 10.3389/fonc.2023.1256360] [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: 07/10/2023] [Accepted: 09/25/2023] [Indexed: 10/21/2023] Open
Abstract
Breast cancer is characterized by a high incidence rate and its treatment challenges, particularly in certain subtypes. Consequently, there is an urgent need for the development of novel therapeutic approaches. Immunotherapy utilizing immune checkpoint inhibitors (ICIs) is currently gaining momentum for the treatment of breast cancer. Substantial progress has been made in clinical studies employing cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) inhibitors for breast cancer, but the cure rates are relatively low. To improve the efficacy of CTLA-4-based therapy for breast cancer, further research is imperative to explore more effective immune-based treatment strategies. In addition to monotherapy, CTLA-4 inhibitors are also being investigated in combination with other ICIs or alternative medications. However, it should be noted that immune-based treatments may cause adverse events. This review focuses on the mechanisms of CTLA-4 inhibitor monotherapy or combination therapy in breast cancer. We systematically summarize the latest research and clinical advances in CTLA-4-based immunotherapy for breast cancer, providing new perspectives on the treatment of breast cancer. In addition, this review highlights the immune-related adverse events (irAEs) associated with CTLA-4 inhibitors, providing insights into the development of appropriate clinical tumor immunotherapy regimens and intervention strategies.
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Affiliation(s)
- Hongsheng Zhang
- College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jintao Mi
- College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qi Xin
- College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Weiwei Cao
- Department of Clinical Laboratory, People’s Hospital of Deyang City, Deyang, China
| | - Chunjiao Song
- Department of Clinical Laboratory, People’s Hospital of Deyang City, Deyang, China
| | - Naidan Zhang
- Department of Clinical Laboratory, People’s Hospital of Deyang City, Deyang, China
| | - Chengliang Yuan
- Department of Clinical Laboratory, People’s Hospital of Deyang City, Deyang, China
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Zhao W, Chang Y, Wu Z, Jiang X, Li Y, Xie R, Fu D, Sun C, Gao J. Identification of PIMREG as a novel prognostic signature in breast cancer via integrated bioinformatics analysis and experimental validation. PeerJ 2023; 11:e15703. [PMID: 37483962 PMCID: PMC10358341 DOI: 10.7717/peerj.15703] [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: 03/19/2023] [Accepted: 06/14/2023] [Indexed: 07/25/2023] Open
Abstract
Background Phosphatidylinositol binding clathrin assembly protein interacting mitotic regulator (PIMREG) expression is upregulated in a variety of cancers. However, its potential role in breast cancer (BC) remains uncertain. Methods The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used to gather relevant information. The expression of PIMREG and its clinical implication in BC were assessed by using Wilcoxon rank-sum test. The prognostic value of PIMREG in BC was evaluated through the Cox regression model and nomogram, and visualized by Kaplan-Meier survival curves. Genes/proteins that interact with PIMREG in BC were also identified through GeneMANIA and MaxLink. Gene set enrichment analysis (GSEA) was then performed. The correlations of the immune cell infiltration and immune checkpoints with the expression of PIMREG in BC were explored via TIMER, TISIDB, and GEPIA. Potential drugs that interact with PIMREG in BC were explored via Q-omic. The siRNA transfection, CCK-8, and transwell migration assay were conducted to explore the function of PIMREG in cell proliferation and migration. Results PIMREG expression was significantly higher in infiltrating ductal carcinoma, estrogen receptor negative BC, and progestin receptor negative BC. High expression of PIMREG was associated with poor overall survival, disease-specific survival, and progression-free interval. A nomogram based on PIMREG was developed with a satisfactory prognostic value. PIMREG also had a high diagnostic ability, with an area under the curve of 0.940. Its correlations with several immunomodulators were also observed. Immune checkpoint CTLA-4 was significantly positively associated with PIMREG. HDAC2 was found as a potentially critical link between PIMREG and BRCA1/2. In addition, PIMREG knockdown could inhibit cell proliferation and migration in BC. Conclusions The high expression of PIMREG is associated with poor prognosis and immune checkpoints in BC. HDAC2 may be a critical link between PIMREG and BRCA1/2, potentially a therapeutic target.
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Affiliation(s)
- Wenjing Zhao
- Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Yuanjin Chang
- School of Medicine, Jiangnan College, WuXi, JiangSu, China
| | - Zhaoye Wu
- School of Medicine, Jiangnan College, WuXi, JiangSu, China
| | - Xiaofan Jiang
- School of Medicine, Jiangnan College, WuXi, JiangSu, China
| | - Yong Li
- Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Ruijin Xie
- School of Medicine, Jiangnan College, WuXi, JiangSu, China
| | - Deyuan Fu
- Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Chenyu Sun
- Department of General Surgery, The second Affiliated Hospital of Anhui Medical University, Anhui, China
- Department of Medicine, AMITA Health Saint Joseph Hospital, Chicago, IL, USA
| | - Ju Gao
- Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
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Peng Z, Lu C, Shi G, Yin L, Liang X, Song G, Tian J, Du Y. Sensitive and quantitative in vivo analysis of PD-L1 using magnetic particle imaging and imaging-guided immunotherapy. Eur J Nucl Med Mol Imaging 2023; 50:1291-1305. [PMID: 36504279 DOI: 10.1007/s00259-022-06083-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE The programmed cell death protein-1 (PD-1) and programmed cell death ligand-1 (PD-L1) expression correlate with the immunotherapeutic response rate. The sensitive and non-invasive imaging of immune checkpoint biomarkers is favorable for the accurate detection and characterization, image-guided immunotherapy in cancer precision medicine. Magnetic particle imaging (MPI), as a novel and emerging imaging modality, possesses the advantages of high sensitivity, no image depth limitation, positive contrast, and absence of radiation. Hence, in this study, we performed the pioneer investigation of monitoring PD-L1 expression using MPI and the MPI-guided immunotherapy. METHODS We developed anti-PD-L1 antibody (aPDL1)-conjugated magnetic fluorescent hybrid nanoparticles (MFNPs-aPDL1) and utilized MPI in combination with fluorescence imaging (FMI) to dynamically monitor and quantify PD-L1 expression in various tumors with different PD-L1 expression levels. The ex vivo real-time polymerase chain reaction (qPCR), western blotting, and immunofluorescence staining analysis were further performed to validate the in vivo imaging observation. Moreover, the MPI was further performed for the guidance of immunotherapy. RESULTS Our data showed that PD-L1 expression can be specifically and sensitively monitored and quantified using MPI and FMI imaging methods, which were validated by ex vivo qPCR and western blotting analysis. In addition, MPI-guided PD-L1 immunotherapy can enhance the effectiveness of cancer immunotherapy. CONCLUSION To our best knowledge, this is the pioneer study to utilize MPI in combination with a newly developed MFNPs-aPDL1 imaging probe to dynamically visualize and quantify PD-L1 expression in tumor microenvironment. This imaging strategy may facilitate the clinical optimization of immunotherapy management.
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Affiliation(s)
- Zhengyao Peng
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- University of Chinese Academy of Sciences, Beijing, 100080, China
| | - Chang Lu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Shenzhen Research Institution of Hunan University, Hunan University, Changsha, 410082, China
| | - Guangyuan Shi
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- University of Science and Technology of China, Hefei, 230026, China
| | - Lin Yin
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- University of Chinese Academy of Sciences, Beijing, 100080, China
| | - Xiaolong Liang
- Department of Ultrasound, Peking University Third Hospital, Beijing, 100191, China
| | - Guosheng Song
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Shenzhen Research Institution of Hunan University, Hunan University, Changsha, 410082, China.
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
- Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, School of Medicine, Beihang University, Beijing, 100191, China.
| | - Yang Du
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
- University of Chinese Academy of Sciences, Beijing, 100080, China.
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Chen J, Li X, Yan S, Li J, Zhou Y, Wu M, Ding J, Yang J, Yuan Y, Zhu Y, Wu W. An autophagy-related long non-coding RNA prognostic model and related immune research for female breast cancer. Front Oncol 2022; 12:929240. [PMID: 36591508 PMCID: PMC9798206 DOI: 10.3389/fonc.2022.929240] [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: 04/27/2022] [Accepted: 11/25/2022] [Indexed: 12/23/2022] Open
Abstract
Introduction Breast cancer (BRCA) is the most common malignancy among women worldwide. It was widely accepted that autophagy and the tumor immune microenvironment play an important role in the biological process of BRCA. Long non-coding RNAs (lncRNAs), as vital regulatory molecules, are involved in the occurrence and development of BRCA. The aim of this study was to assess the prognosis of BRCA by constructing an autophagy-related lncRNA (ARlncRNA) prognostic model and to provide individualized guidance for the treatment of BRCA. Methods The clinical data and transcriptome data of patients with BRCA were acquired from the Cancer Genome Atlas database (TCGA), and autophagy-related genes were obtained from the human autophagy database (HADb). ARlncRNAs were identified by conducting co‑expression analysis. Univariate and multivariate Cox regression analysis were performed to construct an ARlncRNA prognostic model. The prognostic model was evaluated by Kaplan-Meier survival analysis, plotting risk curve, Independent prognostic analysis, clinical correlation analysis and plotting ROC curves. Finally, the tumor immune microenvironment of the prognostic model was studied. Results 10 ARlncRNAs(AC090912.1, LINC01871, AL358472.3, AL122010.1, SEMA3B-AS1, BAIAP2-DT, MAPT-AS1, DNAH10OS, AC015819.1, AC090198.1) were included in the model. Kaplan-Meier survival analysis of the prognostic model showed that the overall survival(OS) of the low-risk group was significantly better than that of the high-risk group (p< 0.001). Multivariate Cox regression analyses suggested that the prognostic model was an independent prognostic factor for BRCA (HR = 1.788, CI = 1.534-2.084, p < 0.001). ROCs of 1-, 3- and 5-year survival revealed that the AUC values of the prognostic model were all > 0.7, with values of 0.779, 0.746, and 0.731, respectively. In addition, Gene Set Enrichment Analysis (GSEA) suggested that several tumor-related pathways were enriched in the high-risk group, while several immune‑related pathways were enriched in the low-risk group. Patients in the low-risk group had higher immune scores and their immune cells and immune pathways were more active. Patients in the low-risk group had higher PD-1 and CTLA-4 levels and received more benefits from immune checkpoint inhibitors (ICIs) therapy. Discussion The ARlncRNA prognostic model showed good performance in predicting the prognosis of patients with BRCA and is of great significance to guide the individualized treatment of these patients.
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Affiliation(s)
- Jiafeng Chen
- Department of Thyroid and Breast surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China,School of Medicine, Ningbo University, Ningbo, China
| | - Xinrong Li
- Department of Thyroid and Breast surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China,School of Medicine, Ningbo University, Ningbo, China
| | - Shuixin Yan
- Department of Thyroid and Breast surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China,School of Medicine, Ningbo University, Ningbo, China
| | - Jiadi Li
- Department of Thyroid and Breast surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China,School of Medicine, Ningbo University, Ningbo, China
| | - Yuxin Zhou
- Department of Thyroid and Breast surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China,School of Medicine, Ningbo University, Ningbo, China
| | - Minhua Wu
- Department of Thyroid and Breast surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Jinhua Ding
- Department of Thyroid and Breast surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Jiahui Yang
- Department of Thyroid and Breast surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Yijie Yuan
- Department of Thyroid and Breast surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Ye Zhu
- Department of Thyroid and Breast surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Weizhu Wu
- Department of Thyroid and Breast surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China,*Correspondence: Weizhu Wu,
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HIF-1α Inhibition Improves Anti-Tumor Immunity and Promotes the Efficacy of Stereotactic Ablative Radiotherapy (SABR). Cancers (Basel) 2022; 14:cancers14133273. [PMID: 35805044 PMCID: PMC9265101 DOI: 10.3390/cancers14133273] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 06/24/2022] [Accepted: 06/29/2022] [Indexed: 01/10/2023] Open
Abstract
Simple Summary Stereotactic ablative radiotherapy (SABR), which irradiates tumors with high-dose radiation per fraction, promotes anti-tumor immunity by stimulating various immune processes. SABR also induces vascular damage and obstructs blood flow, thereby increasing tumor hypoxia and upregulation of hypoxia-inducible factors HIF-1α and HIF-2α, master transcription factors for the cellular response to hypoxia. HIF-1α and HIF-2α are key players in the upregulation of immune suppression in hypoxia. Therefore, the radiation-induced increase in anti-tumor immunity is masked by the HIF-mediated immune suppression. Pre-clinical experiments show that inhibition of HIF-1α effectively prevents immune suppression and improves anti-tumor immunity. A combination of HIF-1α inhibitors with immunotherapy with checkpoint blocking antibodies may represent a novel approach to boost anti-tumor immunity and enhance the efficacy of SABR. Abstract High-dose hypofractionated radiation such as SABR (stereotactic ablative radiotherapy) evokes an anti-tumor immune response by promoting a series of immune-stimulating processes, including the release of tumor-specific antigens from damaged tumor cells and the final effector phase of immune-mediated lysis of target tumor cells. High-dose hypofractionated radiation also causes vascular damage in tumors, thereby increasing tumor hypoxia and upregulation of hypoxia-inducible factors HIF-1α and HIF-2α, the master transcription factors for the cellular response to hypoxia. HIF-1α and HIF-2α are critical factors in the upregulation of immune suppression and are the master regulators of immune evasion of tumors. Consequently, SABR-induced increase in anti-tumor immunity is counterbalanced by the increase in immune suppression mediated by HIFα. Inhibition of HIF-1α with small molecules such as metformin downregulates immunosuppressive pathways, including the expression of immune checkpoints, and it improves or restores the anti-tumor immunity stimulated by irradiation. Combinations of HIFα inhibitors, particularly HIF-1α inhibitors, with immune checkpoint blocking antibodies may represent a novel approach to boost the overall anti-tumor immune profile in patients and thus enhance outcomes after SABR.
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[Advances in Immunotherapy for Malignant Pleural Mesothelioma]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2022; 25:259-265. [PMID: 35477190 PMCID: PMC9051308 DOI: 10.3779/j.issn.1009-3419.2022.101.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Patients with malignant pleural mesothelioma (MPM) usually present with poor prognosis and short survival period, and there has been a lack of effective treatment options for a long time. Chemotherapy has limited improvement in the clinical outcome of advanced patients (the median survival is less than one year), and it is difficult to find suitable targets for targeted therapy. Recent in-depth research on immunotherapy has changed the treatment pattern of MPM. Especially, the dual immunotherapy regimen significantly improved the survival outcome of patients across subgroups and prolonged the survival time of MPM patients. Therefore, it has been approved for unresectable MPM as first-line treatment for patients. The exploration of other mono or combo immunotherapy regimens in the first and second-line settings of MPM is also underway. How to identify the best beneficial population of each regimen through predictive biomarkers is also a hot spot for researchers. This article will focus on the most up-to-date progress of MPM epidemiology, histological characteristics, pathogenesis, treatment patterns and the advances of immunotherapy in the disease.
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Cheng Z, Du Y, Yu L, Yuan Z, Tian J. Application of Noninvasive Imaging to Combined Immune Checkpoint Inhibitors for Breast Cancer: Facts and Future. Mol Imaging Biol 2022; 24:264-279. [PMID: 35102468 DOI: 10.1007/s11307-021-01688-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 11/13/2021] [Accepted: 11/24/2021] [Indexed: 12/19/2022]
Abstract
With the application of mono-immunotherapy in cancer, particularly immune checkpoint inhibitors, improved outcomes have been achieved. However, there are several limitations to immunotherapy, such as a poor response to the drugs, immune resistance, and immune-related adverse events. In recent years, studies of preclinical animal models and clinical trials have demonstrated that immune checkpoint inhibitors for breast cancer can significantly prolong the overall survival and quality of patients' lives. Meanwhile, combined immune checkpoint inhibitor treatment has attracted researchers' attention and showed great potential in the comprehensive treatment of breast cancer patients. Additionally, noninvasive imaging enables physicians to predict response to combined immunotherapeutic drugs, achieve treatment efficacy, and lead to better clinical management. Herein, we review the background of combined immune checkpoint inhibitor therapy and summarize its targeted imaging as well as progress in noninvasive imaging aimed at evaluating therapeutic outcomes. Finally, we describe several factors that may influence the outcome of this combined immunotherapy, the future direction of medical imaging, and the potential application of artificial intelligence in breast cancer. With further development of noninvasive imaging for the guidance of combined immune checkpoint inhibitors, cures for this disease may be achieved.
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Affiliation(s)
- Zhongquan Cheng
- Department of General Surgery, Capital Medical University, Beijing Friendship Hospital, Beijing, 100050, China
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex System, Institute of Automation, Chinese Academy of Sciences, BeijingBeijing, 100190, China
| | - Yang Du
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex System, Institute of Automation, Chinese Academy of Sciences, BeijingBeijing, 100190, China.
- University of Chinese Academy of Sciences, Beijing, 100080, China.
| | - Leyi Yu
- Department of General Surgery, Capital Medical University, Beijing Friendship Hospital, Beijing, 100050, China
| | - Zhu Yuan
- Department of General Surgery, Capital Medical University, Beijing Friendship Hospital, Beijing, 100050, China.
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex System, Institute of Automation, Chinese Academy of Sciences, BeijingBeijing, 100190, China.
- University of Chinese Academy of Sciences, Beijing, 100080, China.
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine Science and Engineering, Beihang University, Beijing, 100191, China.
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, China.
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An Y, Bian C, Yan D, Wang H, Wang Y, Du Y, Tian J. A Fast and Automated FMT/XCT Reconstruction Strategy Based on Standardized Imaging Space. IEEE TRANSACTIONS ON MEDICAL IMAGING 2022; 41:657-666. [PMID: 34648436 DOI: 10.1109/tmi.2021.3120011] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
The traditional finite element method-based fluorescence molecular tomography (FMT)/ X-ray computed tomography (XCT) imaging reconstruction suffers from complicated mesh generation and dual-modality image data fusion, which limits the application of in vivo imaging. To solve this problem, a novel standardized imaging space reconstruction (SISR) method for the quantitative determination of fluorescent probe distributions inside small animals was developed. In conjunction with a standardized dual-modality image data fusion technology, and novel reconstruction strategy based on Laplace regularization and L1-fused Lasso method, the in vivo distribution can be calculated rapidly and accurately, which enables standardized and algorithm-driven data process. We demonstrated the method's feasibility through numerical simulations and quantitatively monitored in vivo programmed death ligand 1 (PD-L1) expression in mouse tumor xenografts, and the results demonstrate that our proposed SISR can increase data throughput and reproducibility, which helps to realize the dynamically and accurately in vivo imaging.
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Deng H, Wang L, Yang Y, Wu J, Zhou C. [Dual Immunotherapy in Advanced Non-small Cell Lung Cancer:
the Progress and Clinical Application]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2022; 25:102-110. [PMID: 35224963 PMCID: PMC8913291 DOI: 10.3779/j.issn.1009-3419.2021.102.48] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
近年来,程序性死亡受体1(programmed death protein-1, PD-1)/程序性死亡配体1(programmed death-ligand 1, PD-L1)抑制剂单药、PD-1抑制剂联合化疗日益广泛地用于非小细胞肺癌(non-small cell lung cancer, NSCLC)的一线治疗,但PD-L1低表达的患者治疗反应和生存获益有限,现有治疗方案尚不能完全满足真实世界患者的临床需求。因此,研究者们仍在探索新的有效或者高效的治疗方案,以求进一步提高NSCLC不同人群的疗效和生存预后。双免疫联合治疗,如PD-1抑制剂和细胞毒性T淋巴细胞相关抗原4(cytotoxic T lymphocyte associated antigen-4, CTLA-4)抑制剂联合在多种肿瘤中均显示出可观的长期生存获益,在NSCLC中亦显示出广阔的应用前景。除探索不同的新兴联合方案外,如何通过生物标志物准确识别最佳获益人群、如何通过多学科协作有效管理联合方案的安全性,也是双免疫联合治疗受关注的重点。本文就双免疫联合治疗的作用机制、研究进展、疗效预测标志物及未来探索方向等作一综述。
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Affiliation(s)
- Haiyi Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease; Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Liqiang Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease; Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Yilin Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease; Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Jianhui Wu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease; Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease; Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
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12
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Qiu D, Zhang G, Yan X, Xiao X, Ma X, Lin S, Wu J, Li X, Wang W, Liu J, Ma Y, Ma M. Prospects of Immunotherapy for Triple-Negative Breast Cancer. Front Oncol 2022; 11:797092. [PMID: 35111680 PMCID: PMC8801574 DOI: 10.3389/fonc.2021.797092] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 11/30/2021] [Indexed: 01/22/2023] Open
Abstract
In the classification and typing of breast cancer, triple-negative breast cancer (TNBC) is one type of refractory breast cancer, while chemotherapy stays in the traditional treatment methods. However, the impact of chemotherapy is short-lived and may lead to recurrence due to incomplete killing of tumor cells. The occurrence, development, and relapse of breast cancer are relevant to T cell dysfunction, multiplied expression of related immune checkpoint molecules (ICIs) such as programmed death receptor 1 (PD-1), programmed cell death 1 ligand 1 (PD-L1), and cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) produce immunosuppressive effect. Immunotherapy (namely, immune checkpoint inhibitors, adoptive cellular immunotherapy, CAR-T immunotherapy and some potential treatments) provides new hope in TNBC. This review focuses on the new immune strategies of TNBC patients.
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Affiliation(s)
- Dan Qiu
- School of Traditional Chinese Medicine of Jinan University, Jinan University, Guangzhou, China
| | - Guijuan Zhang
- School of Nursing of Jinan University, Jinan University, Guangzhou, China
| | - Xianxin Yan
- School of Traditional Chinese Medicine of Jinan University, Jinan University, Guangzhou, China
| | - Xinqin Xiao
- School of Traditional Chinese Medicine of Jinan University, Jinan University, Guangzhou, China
| | - Xinyi Ma
- School Public Health, Southern Medical University (No: 3210090112), Guangzhou, China
| | - Shujun Lin
- School of Traditional Chinese Medicine of Jinan University, Jinan University, Guangzhou, China
| | - Jieyan Wu
- School of Traditional Chinese Medicine of Jinan University, Jinan University, Guangzhou, China
| | - Xinyuan Li
- School of Medicine, Jinan University, Guangzhou, China
| | - Wandi Wang
- School of Medicine, Jinan University, Guangzhou, China
| | - Junchen Liu
- School of Medicine, Jinan University, Guangzhou, China
| | - Yi Ma
- Department of Cellular Biology, Institute of Biomedicine, National Engineering, Research Center of Genetic Medicine, Key Laboratory of Bioengineering Medicine of Guangdong Province, The National Demonstration Center for Experimental Education of Life Science and Technology, Jinan University, Guangzhou, China
| | - Min Ma
- School of Traditional Chinese Medicine of Jinan University, Jinan University, Guangzhou, China.,The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
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13
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Chen H, Hu Z, Sang M, Ni S, Lin Y, Wu C, Mu Y, Liu K, Wu S, Li N, Xu G. Identification of an Autophagy-Related lncRNA Prognostic Signature and Related Tumor Immunity Research in Lung Adenocarcinoma. Front Genet 2021; 12:767694. [PMID: 34956321 PMCID: PMC8692741 DOI: 10.3389/fgene.2021.767694] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 10/26/2021] [Indexed: 12/25/2022] Open
Abstract
Autophagy is closely associated with the tumor immune microenvironment (TIME) and prognosis of patients with lung adenocarcinoma (LUAD). In the present study, we established a signature on the basis of long noncoding RNAs (lncRNAs) related to autophagy (ARlncRNAs) to investigate the TIME and survival of patients with LUAD. We selected ARlncRNAs associated with prognosis to construct a model and divided each sample into different groups on the basis of risk score. The ARlncRNA signature could be recognized as an independent prognostic factor for patients with LUAD, and patients in the low-risk group had a greater survival advantage. Kyoto Encyclopedia of Genes and Genomes and Gene Ontology enrichment analysis suggested that several immune functions and pathways were enriched in different groups. A high-risk score correlated significantly negatively with high abundance of immune cells and stromal cells around the tumor and high tumor mutational burden. Low-risk patients had a higher PD-1, CTLA-4, and HAVCR2 expression and had a better efficacy of immune checkpoint inhibitors, including PD-1/CTLA-4 inhibitor. A reliable signature on the basis of ARlncRNAs was constructed to explore the TIME and prognosis of patients with LUAD, which could provide valuable information for individualized LUAD treatment.
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Affiliation(s)
- Hang Chen
- Medical School, Ningbo University, Ningbo, China
| | - Zeyang Hu
- Medical School, Ningbo University, Ningbo, China
| | - Menglu Sang
- Department of Cardiothoracic Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Saiqi Ni
- Department of Urology, Ningbo City First Hospital, Ningbo, China
| | - Yao Lin
- Medical School, Ningbo University, Ningbo, China
| | - Chengfang Wu
- Medical School, Ningbo University, Ningbo, China
| | - Yinyu Mu
- Department of Cardiothoracic Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Kaitai Liu
- Department of Cardiothoracic Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Shibo Wu
- Department of Cardiothoracic Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Ni Li
- Department of Cardiothoracic Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Guodong Xu
- Department of Cardiothoracic Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
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14
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Novel immunomodulatory properties of low dose cytarabine entrapped in a mannosylated cationic liposome. Int J Pharm 2021; 606:120849. [PMID: 34216770 DOI: 10.1016/j.ijpharm.2021.120849] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 06/07/2021] [Accepted: 06/27/2021] [Indexed: 12/13/2022]
Abstract
Cancer treatment remains unsatisfactory with high rates of recurrence and metastasis. Immunomodulatory agents capable of promoting cellular antitumor immunity while inhibiting the local immunosuppressive tumor microenvironment could greatly improve cancer treatment. We have developed a multi-targeted mannosylated cationic liposome delivery system containing muramyl dipeptide (DS) and low doses of the chemotherapeutic agent cytarabine (Ara-C). Immunomodulation of primary immune cells and immortalized cancer cell lines by Ara-C/DS was assessed by measuring cytokine levels and surface marker expression. As a proof of concept, the generation of targeted cellular immunity was investigated in the context of responses to viral antigens. This report is the first demonstrating that Ara-C combined with DS can modulate immune responses and revert immunosuppression as evidenced by increased IFN-γ and IL-12p40 without changes in IL-10 in peripheral blood mononuclear cells, and increased CD80 and decreased CD163 on immunosuppressive macrophages. Furthermore, Ara-C/DS increased MHC class I expression on cancer cells while increasing the production of antigen-specific IFN-γ+ CD8+ T cells in viral peptide-challenged lymphocytes from both humans and vaccinated mice. Taken together, these results are the first to document immunomodulatory properties of Ara-C linked with recognition of antigens and potentially the generation of antitumor immune memory.
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15
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Zhang C, Xie C, Lu Y. Local Anesthetic Lidocaine and Cancer: Insight Into Tumor Progression and Recurrence. Front Oncol 2021; 11:669746. [PMID: 34249706 PMCID: PMC8264592 DOI: 10.3389/fonc.2021.669746] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 06/03/2021] [Indexed: 12/11/2022] Open
Abstract
Cancer is a leading contributor to deaths worldwide. Surgery is the primary treatment for resectable cancers. Nonetheless, it also results in inflammatory response, angiogenesis, and stimulated metastasis. Local anesthetic lidocaine can directly and indirectly effect different cancers. The direct mechanisms are inhibiting proliferation and inducing apoptosis via regulating PI3K/AKT/mTOR and caspase-dependent Bax/Bcl2 signaling pathways or repressing cytoskeleton formation. Repression invasion, migration, and angiogenesis through influencing the activation of TNFα-dependent, Src-induced AKT/NO/ICAM and VEGF/PI3K/AKT signaling pathways. Moreover, the indirect influences are immune regulation, anti-inflammation, and postoperative pain relief. This review summarizes the latest evidence that revealed potential clinical benefits of lidocaine in cancer treatment to explore the probable molecular mechanisms and the appropriate dose.
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Affiliation(s)
- Caihui Zhang
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Cuiyu Xie
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yao Lu
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Ambulatory Surgery Center, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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16
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Kern R, Panis C. CTLA-4 Expression and Its Clinical Significance in Breast Cancer. Arch Immunol Ther Exp (Warsz) 2021; 69:16. [PMID: 34148159 DOI: 10.1007/s00005-021-00618-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 05/25/2021] [Indexed: 12/15/2022]
Abstract
Breast cancer is the leading cause of women's death among all cancers. The main reason associated with this is the development of metastasis and therapy-resistant breast carcinoma (BC), which pose the main challenge of oncology nowadays. Evidence suggest that these tumors seem to have inhibitory mechanisms that may favor their progression and surveillance. Cancer cells can evade antitumor T cell responses by expressing some immune inhibitory molecules such as the cytotoxic T-lymphocyte antigen-4 (CTLA-4), whose clinical meaning has emerged in the last few years and is poorly understood in the BC context. This systematic literature review aims at identifying studies on CTLA-4 expression in BC, and address what is known about its clinical meaning. A literature search was performed in PubMed and LILACS databases, using the MESH terms "breast cancer"; "CTLA-4 Antigen/antagonists and inhibitors"; and "Lymphocytes, Tumor-Infiltrating/immunology", published in the last 10 years. In total, 12 studies were included in this review. Systematic review used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Despite the small number of eligible studies, the literature reports some associations between CTLA-4 expression in the tumor microenvironment and worse BC outcomes, regardless of its molecular subtype. CTLA-4 expression in BC is a putative marker of clinical significance and a rationale therapeutic target in the emerging field of immunotherapy.
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Affiliation(s)
- Rodrigo Kern
- Laboratory of Tumor Biology, State University of West Paraná, UNIOESTE, Francisco Beltrão, Brazil
| | - Carolina Panis
- Laboratory of Tumor Biology, State University of West Paraná, UNIOESTE, Francisco Beltrão, Brazil.
- State University of Western Paraná, Health Sciences Center, Vitório Traiano Highway, Km 2, Francisco Beltrão, PR, Brazil.
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17
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Singh K, Yadav D, Jain M, Singh PK, Jin JO. Immunotherapy for the Breast Cancer treatment: Current Evidence and Therapeutic Options. Endocr Metab Immune Disord Drug Targets 2021; 22:212-224. [PMID: 33902424 DOI: 10.2174/1871530321666210426125904] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 03/04/2021] [Accepted: 03/08/2021] [Indexed: 11/22/2022]
Abstract
Breast cancer (BC) stands at the first position among all forms of malignancies found in women globally. The available therapeutic approaches for breast cancer includes chemotherapy, radiation therapy, hormonal therapy and finally surgery. Despite the conventional therapies, in recent years the advance immunology based therapeutics emerge a potential in breast cancer treatment, including immune checkpoint blockades, vaccines and in combination with other treatment strategies. Although, commonly used treatments like trastuzumab/pertuzumab for human epidermal growth factor receptor 2 (Her2) positive and hormone therapy for estrogen receptor (ER) positive and/or progesterone receptor (PR) positive BC are specific but triple negative breast cancer (TNBC) cases remain a great challenge for treatment measures. Immune checkpoint inhibitors (anti-PD-1/ anti-CTLA-4) and anti-cancer vaccines (NeuVax, Muc-1, AVX901, INO-1400 and CEA), either alone or in combination with other therapies have created new paradigm in therapeutic world. In this review, we highlighted the current immunotherapeutic aspects and their ongoing trials towards the better treatment regimen for BC.
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Affiliation(s)
- Kavita Singh
- Centre for Translational Research, School of Studies in Biochemistry, Jiwaji University, Gwalior-474011, Madhya Pradesh, India
| | - Dhananjay Yadav
- Department of Medical Biotechnology, Yeungnam University, Gyeongsan, 712-749, South Korea
| | - Meenu Jain
- ICMR-AMR Diagnostics Taskforce, ECD Division, Indian Council of Medical research, Ansari Nagar, New Delhi-110029, India
| | - Pramod Kumar Singh
- Department of Biosciences, Christian Eminent College, Indore, (MP), India
| | - Jun-O Jin
- Shanghai Public Health Clinical Center, Shanghai Medical College, Fudan University, Shanghai 201508, China
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18
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LI L, Ye J. Characterization of gut microbiota in patients with primary hepatocellular carcinoma received immune checkpoint inhibitors: A Chinese population-based study. Medicine (Baltimore) 2020; 99:e21788. [PMID: 32925716 PMCID: PMC7489660 DOI: 10.1097/md.0000000000021788] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the most common neoplasms encountered, and its incidence is increasing worldwide. In this study, we explored the characteristics of gut microbiota in patients with primary hepatocellular carcinoma in advanced stage who received immune checkpoint inhibitors (ICIs) based on a large population with hepatitis B virus infection. An initial cohort of 65 patients with metastatic melanoma were included in this study. All patients were treated with ICIs at Fujian provincial geriatric hospital between August 2016 and June 2018. The 16S rDNA V4 region was amplified by Polymerase chain reaction and sequenced on the MiSeq platform. We found that the diversities of the gut microbiota in HCC who received ICIs were obviously increased. Negative feedback, which is controlled by interplay between microbial metabolic activities and host pathways, is thought to promote high bacterial diversity. We focused on the Faecalibacterium genus in response group, and Bacteroidales order in non-response group, and stratified patients into high versus low categories based on the median relative abundance of these taxa in the gut microbiome. Patients with high Faecalibacterium abundance had a significantly prolonged PFS versus those with a low abundance. Conversely, patients with a high abundance of Bacteroidales had a shortened progressive free survival compared to those with a low abundance. In summary, the present study examined the oral and gut microbiome of HCC patients undergoing immune checkpoint inhibitors immunotherapy. Significant differences were observed in the diversity and composition of the patient gut microbiome of responders versus non-responders.
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