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Baek BS, Park H, Choi JW, Lee EY, Youn JI, Seong SY. Dendritic cells pulsed with penetratin-OLFM4 inhibit the growth and metastasis of melanoma in mice. Biomed Pharmacother 2024; 177:117083. [PMID: 38968793 DOI: 10.1016/j.biopha.2024.117083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 06/29/2024] [Accepted: 07/01/2024] [Indexed: 07/07/2024] Open
Abstract
Cancer stem cells (CSCs) can self-renew and differentiate, contributing to tumor heterogeneity, metastasis, and recurrence. Their resistance to therapies, including immunotherapy, underscores the importance of targeting them for complete remission and relapse prevention. Olfactomedin 4 (OLFM4), a marker associated with various cancers such as colorectal cancer, is expressed on CSCs promoting immune evasion and tumorigenesis. However, its potential as a target for CSC-specific immunotherapy remains underexplored. The primary aim of this study is to evaluate the effectiveness of targeting OLFM4 with dendritic cell (DC)-based vaccines in inhibiting tumor growth and metastasis. To improve antigen delivery and immune response, OLFM4 was conjugated with a protein-transduction domain (PTD) from the antennapedia of Drosophila called penetratin, creating a fusion protein (P-OLFM4). The efficacy of DCs pulsed with P-OLFM4 (DCs [P-OLFM4]) was compared to DCs pulsed with OLFM4 (DCs [OLFM4]) and PBS (DCs [PBS]). DCs [P-OLFM4] inhibited tumor growth by 91.2 % and significantly reduced lung metastasis of OLFM4+ melanoma cells by 97 %, compared to the DCs [PBS]. DCs [OLFM4] also demonstrated a reduction in lung metastasis by 59.7 % compared to DCs [PBS]. Immunization with DCs [P-OLFM4] enhanced OLFM4-specific T-cell proliferation, interferon-γ production, and cytotoxic T cell activity in mice. The results indicate that OLFM4 is a viable target for CSC-focused immunotherapy. DC [P-OLFM4] vaccines can elicit robust immune responses, significantly inhibiting tumor growth and metastasis. This strategy holds promise for developing more effective cancer treatments that specifically target CSCs, potentially leading to better patient outcomes by reducing the likelihood of tumor relapse and metastasis.
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Affiliation(s)
- Bum-Seo Baek
- Wide River Institute of Immunology, Seoul National University College of Medicine, Hongcheon, Gangwon Province, South Korea; Department of Biomedical Sciences, South Korea
| | - Hyunmi Park
- Wide River Institute of Immunology, Seoul National University College of Medicine, Hongcheon, Gangwon Province, South Korea
| | - Ji-Woong Choi
- Wide River Institute of Immunology, Seoul National University College of Medicine, Hongcheon, Gangwon Province, South Korea
| | - Eun-Young Lee
- Wide River Institute of Immunology, Seoul National University College of Medicine, Hongcheon, Gangwon Province, South Korea
| | - Je-In Youn
- Wide River Institute of Immunology, Seoul National University College of Medicine, Hongcheon, Gangwon Province, South Korea; Department of Biomedical Sciences, South Korea
| | - Seung-Yong Seong
- Wide River Institute of Immunology, Seoul National University College of Medicine, Hongcheon, Gangwon Province, South Korea; Department of Biomedical Sciences, South Korea; Department of Microbiology and Immunology, Seoul National University College of Medicine, Seoul, Republic of Korea; Shaperon Inc. Ltd, Seoul, South Korea.
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2
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Chen S, Xie D, Li Z, Wang J, Hu Z, Zhou D. Frequency-dependent selection of neoantigens fosters tumor immune escape and predicts immunotherapy response. Commun Biol 2024; 7:770. [PMID: 38918569 PMCID: PMC11199503 DOI: 10.1038/s42003-024-06460-7] [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: 09/01/2023] [Accepted: 06/14/2024] [Indexed: 06/27/2024] Open
Abstract
Cancer is an evolutionary process shaped by selective pressure from the microenvironments. However, recent studies reveal that certain tumors undergo neutral evolution where there is no detectable fitness difference amongst the cells following malignant transformation. Here, through computational modeling, we demonstrate that negative frequency-dependent selection (or NFDS), where the immune response against cancer cells depends on the clonality of neoantigens, can lead to an immunogenic landscape that is highly similar to neutral evolution. Crucially, NFDS promotes high antigenic heterogeneity and early immune evasion in hypermutable tumors, leading to poor responses to immune checkpoint blockade (ICB) therapy. Our model also reveals that NFDS is characterized by a negative association between average clonality and total burden of neoantigens. Indeed, this unique feature of NFDS is common in the whole-exome sequencing (WES) datasets (357 tumor samples from 275 patients) from four melanoma cohorts with ICB therapy and a non-small cell lung cancer (NSCLC) WES dataset (327 tumor samples from 100 patients). Altogether, our study provides quantitative evidence supporting the theory of NFDS in cancer, explaining the high prevalence of neutral-looking tumors. These findings also highlight the critical role of frequency-dependent selection in devising more efficient and predictive immunotherapies.
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Affiliation(s)
- Shaoqing Chen
- School of Mathematical Sciences, Xiamen University, Xiamen, China
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
| | - Duo Xie
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Faculty of Health Sciences, University of Macau, Taipa, Macau, China
| | - Zan Li
- Life Science Research Center, Core Research Facilities, Southern University of Science and Technology, Shenzhen, China
| | - Jiguang Wang
- Division of Life Science and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
- Hong Kong Center for Neurodegenerative Diseases, InnoHK, Hong Kong SAR, China
- HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen, China
| | - Zheng Hu
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
| | - Da Zhou
- School of Mathematical Sciences, Xiamen University, Xiamen, China.
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
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3
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Gorlov IP, Gorlova OY, Tsavachidis S, Amos CI. Strength of selection in lung tumors correlates with clinical features better than tumor mutation burden. Sci Rep 2024; 14:12732. [PMID: 38831004 PMCID: PMC11148192 DOI: 10.1038/s41598-024-63468-z] [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: 12/08/2023] [Accepted: 05/29/2024] [Indexed: 06/05/2024] Open
Abstract
Single nucleotide substitutions are the most common type of somatic mutations in cancer genome. The goal of this study was to use publicly available somatic mutation data to quantify negative and positive selection in individual lung tumors and test how strength of directional and absolute selection is associated with clinical features. The analysis found a significant variation in strength of selection (both negative and positive) among tumors, with median selection tending to be negative even though tumors with strong positive selection also exist. Strength of selection estimated as the density of missense mutations relative to the density of silent mutations showed only a weak correlation with tumor mutation burden. In the "all histology together" analysis we found that absolute strength of selection was strongly correlated with all clinically relevant features analyzed. In histology-stratified analysis selection was strongest in small cell lung cancer. Selection in adenocarcinoma was somewhat higher compared to squamous cell carcinoma. The study suggests that somatic mutation- based quantifying of directional and absolute selection in individual tumors can be a useful biomarker of tumor aggressiveness.
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Affiliation(s)
- Ivan P Gorlov
- Institute for Clinical and Translational Research, Baylor College of Medicine, One Baylor Plaza, Mailstop: BCM451, Houston, TX, 77030, USA.
| | - Olga Y Gorlova
- Institute for Clinical and Translational Research, Baylor College of Medicine, One Baylor Plaza, Mailstop: BCM451, Houston, TX, 77030, USA
| | - Spyridon Tsavachidis
- Institute for Clinical and Translational Research, Baylor College of Medicine, One Baylor Plaza, Mailstop: BCM451, Houston, TX, 77030, USA
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, One Baylor Plaza, Mailstop: BCM451, Houston, TX, 77030, USA
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4
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Xu D, Wang W, Wang D, Ding J, Zhou Y, Zhang W. Long noncoding RNA MALAT-1: A versatile regulator in cancer progression, metastasis, immunity, and therapeutic resistance. Noncoding RNA Res 2024; 9:388-406. [PMID: 38511067 PMCID: PMC10950606 DOI: 10.1016/j.ncrna.2024.01.015] [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: 11/14/2023] [Revised: 01/24/2024] [Accepted: 01/24/2024] [Indexed: 03/22/2024] Open
Abstract
Long noncoding RNAs (lncRNAs) are RNA transcripts longer than 200 nucleotides that do not code for proteins but have been linked to cancer development and metastasis. Metastasis-associated lung adenocarcinoma transcript 1 (MALAT-1) influences crucial cancer hallmarks through intricate molecular mechanisms, including proliferation, invasion, angiogenesis, apoptosis, and the epithelial-mesenchymal transition (EMT). The current article highlights the involvement of MALAT-1 in drug resistance, making it a potential target to overcome chemotherapy refractoriness. It discusses the impact of MALAT-1 on immunomodulatory molecules, such as major histocompatibility complex (MHC) proteins and PD-L1, leading to immune evasion and hindering anti-tumor immune responses. MALAT-1 also plays a significant role in cancer immunology by regulating diverse immune cell populations. In summary, MALAT-1 is a versatile cancer regulator, influencing tumorigenesis, chemoresistance, and immunotherapy responses. Understanding its precise molecular mechanisms is crucial for developing targeted therapies, and therapeutic strategies targeting MALAT-1 show promise for improving cancer treatment outcomes. However, further research is needed to fully uncover the role of MALAT-1 in cancer biology and translate these findings into clinical applications.
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Affiliation(s)
- Dexin Xu
- Department of Orthopedics, Jilin Province FAW General Hospital, Changchun, 130000, China
| | - Wenhai Wang
- Department of Cardiology, Jilin Province FAW General Hospital, Changchun, 130000, China
| | - Duo Wang
- Department of Geriatrics, Jilin Province FAW General Hospital, Changchun, 130000, China
| | - Jian Ding
- Department of Electrodiagnosis, Jilin Province FAW General Hospital, Changchun, 130000, China
| | - Yunan Zhou
- Department of Orthopedics, Jilin Province FAW General Hospital, Changchun, 130000, China
| | - Wenbin Zhang
- Department of Cardiology, Jilin Province FAW General Hospital, Changchun, 130000, China
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5
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Stepanenko AA, Sosnovtseva AO, Valikhov MP, Chernysheva AA, Abramova OV, Pavlov KA, Chekhonin VP. Systemic and local immunosuppression in glioblastoma and its prognostic significance. Front Immunol 2024; 15:1326753. [PMID: 38481999 PMCID: PMC10932993 DOI: 10.3389/fimmu.2024.1326753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 02/06/2024] [Indexed: 04/07/2024] Open
Abstract
The effectiveness of tumor therapy, especially immunotherapy and oncolytic virotherapy, critically depends on the activity of the host immune cells. However, various local and systemic mechanisms of immunosuppression operate in cancer patients. Tumor-associated immunosuppression involves deregulation of many components of immunity, including a decrease in the number of T lymphocytes (lymphopenia), an increase in the levels or ratios of circulating and tumor-infiltrating immunosuppressive subsets [e.g., macrophages, microglia, myeloid-derived suppressor cells (MDSCs), and regulatory T cells (Tregs)], as well as defective functions of subsets of antigen-presenting, helper and effector immune cell due to altered expression of various soluble and membrane proteins (receptors, costimulatory molecules, and cytokines). In this review, we specifically focus on data from patients with glioblastoma/glioma before standard chemoradiotherapy. We discuss glioblastoma-related immunosuppression at baseline and the prognostic significance of different subsets of circulating and tumor-infiltrating immune cells (lymphocytes, CD4+ and CD8+ T cells, Tregs, natural killer (NK) cells, neutrophils, macrophages, MDSCs, and dendritic cells), including neutrophil-to-lymphocyte ratio (NLR), focus on the immune landscape and prognostic significance of isocitrate dehydrogenase (IDH)-mutant gliomas, proneural, classical and mesenchymal molecular subtypes, and highlight the features of immune surveillance in the brain. All attempts to identify a reliable prognostic immune marker in glioblastoma tissue have led to contradictory results, which can be explained, among other things, by the unprecedented level of spatial heterogeneity of the immune infiltrate and the significant phenotypic diversity and (dys)functional states of immune subpopulations. High NLR is one of the most repeatedly confirmed independent prognostic factors for shorter overall survival in patients with glioblastoma and carcinoma, and its combination with other markers of the immune response or systemic inflammation significantly improves the accuracy of prediction; however, more prospective studies are needed to confirm the prognostic/predictive power of NLR. We call for the inclusion of dynamic assessment of NLR and other blood inflammatory markers (e.g., absolute/total lymphocyte count, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, systemic immune-inflammation index, and systemic immune response index) in all neuro-oncology studies for rigorous evaluation and comparison of their individual and combinatorial prognostic/predictive significance and relative superiority.
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Affiliation(s)
- Aleksei A. Stepanenko
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
- Department of Medical Nanobiotechnology, Institute of Translational Medicine, N. I. Pirogov Russian National Research Medical University, The Ministry of Health of the Russian Federation, Moscow, Russia
| | - Anastasiia O. Sosnovtseva
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Marat P. Valikhov
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
- Department of Medical Nanobiotechnology, Institute of Translational Medicine, N. I. Pirogov Russian National Research Medical University, The Ministry of Health of the Russian Federation, Moscow, Russia
| | - Anastasia A. Chernysheva
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
| | - Olga V. Abramova
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
| | - Konstantin A. Pavlov
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
| | - Vladimir P. Chekhonin
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
- Department of Medical Nanobiotechnology, Institute of Translational Medicine, N. I. Pirogov Russian National Research Medical University, The Ministry of Health of the Russian Federation, Moscow, Russia
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6
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Deng J, Lai G, Zhang C, Li K, Zhu W, Xie B, Zhong X. A robust primary liver cancer subtype related to prognosis and drug response based on a multiple combined classifying strategy. Heliyon 2024; 10:e25570. [PMID: 38352751 PMCID: PMC10861988 DOI: 10.1016/j.heliyon.2024.e25570] [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: 04/16/2023] [Revised: 01/13/2024] [Accepted: 01/29/2024] [Indexed: 02/16/2024] Open
Abstract
The recurrence or resistance to treatment of primary liver cancer (PLL) is significantly related to the heterogeneity present within the tumor. In this study, we integrated prognosis risk score, mRNAsi index, and immune characteristics clustering to classify patients. The four subtypes obtained from the combined classification are associated with PLC's prognosis and drug response. In these subtypes, we observed mRNAsiH_ICCA subtype, the intersection between high mRNAsi and immune characteristics clustering A, had the worst prognosis. Specifically, immune characteristics clustering B (ICC_B) had high drug sensitivity in most drugs regardless of the value of mRNAsi. On the other hand, patients with low mRNAsi responded better to ten drugs including KU-55933 and NU7441, while patients with high mRNAsi might benefit from drugs like Leflunomide. By matching the specific characteristics of each combined subtype with the drug-induced cell line expression profile, we identified a group of potential therapeutic drugs that might regulate the expression of disease signature genes. We developed a feasible multiple combined typing strategy, hoping to guide therapeutic selection and promote the development of precision medicine.
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Affiliation(s)
- Jielian Deng
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
- Medical Department, Yidu Cloud (Beijing) Technology Co., Beijing, China
| | - Guichuan Lai
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Cong Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Kangjie Li
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Wenyan Zhu
- Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing Medical and Pharmaceutical College, Chongqing, China
- College of Pharmacy, Chongqing Medical University, Chongqing, China
- Medical Department, Yidu Cloud (Beijing) Technology Co., Beijing, China
| | - Biao Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Xiaoni Zhong
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
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7
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Li H, Zheng N, Guo A, Tang W, Li M, Cao Y, Ma X, Cao H, Ma Y, Wang H, Zhao S. FSTL3 promotes tumor immune evasion and attenuates response to anti-PD1 therapy by stabilizing c-Myc in colorectal cancer. Cell Death Dis 2024; 15:107. [PMID: 38302412 PMCID: PMC10834545 DOI: 10.1038/s41419-024-06469-0] [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: 09/06/2023] [Revised: 01/08/2024] [Accepted: 01/12/2024] [Indexed: 02/03/2024]
Abstract
Programmed cell death 1 ligand 1 (PDL1)/programmed cell death 1 (PD1) blockade immunotherapy provides a prospective strategy for the treatment of colorectal cancer (CRC), but various constraints on the effectiveness of the treatment are still remaining. As reported in previous studies, follistatin-like 3 (FSTL3) could mediate inflammatory response in macrophages by induction lipid accumulation. Herein, we revealed that FSTL3 were overexpressed in malignant cells in the CRC microenvironment, notably, the expression level of FSTL3 was related to tumor immune evasion and the clinical efficacy of anti-PD1 therapy. Further studies determined that hypoxic tumor microenvironment induced the FSTL3 expression via HIF1α in CRC cells, FSTL3 could bind to the transcription factor c-Myc (354-406 amino acids) to suppress the latter's ubiquitination and increase its stability, thereby to up-regulated the expression of PDL1 and indoleamine 2,3-dioxygenase 1 (IDO1). The results in the immunocompetent tumor models verified that FSLT3 knockout in tumor cells increased the proportion of CD8+ T cells in the tumor microenvironment, reduced the proportion of regulatory T cells (CD25+ Foxp3+) and exhausted T cells (PD1+ CD8+), and synergistically improved the anti-PD1 therapy efficacy. To sum up, FSTL3 enhanced c-Myc-mediated transcriptional regulation to promote immune evasion and attenuates response to anti-PD1 therapy in CRC, suggesting the potential of FSTL3 as a biomarker of immunotherapeutic efficacy as well as a novel immunotherapeutic target in CRC.
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Affiliation(s)
- Haiyang Li
- Department of general surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Na Zheng
- General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
- General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Anning Guo
- General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Weiwei Tang
- Hepatobiliary/Liver Transplantation Center, the First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Living Donor Transplantation, Chinese Academy of Medical Sciences, Nanjing, Jiangsu, China
| | - Muxin Li
- General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Yuanyuan Cao
- General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xinhua Ma
- General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Hongyong Cao
- Department of general surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Yong Ma
- Department of general surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Hanjin Wang
- Department of general surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Shuli Zhao
- General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
- General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, Jiangsu, China.
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8
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Zhang Y, Li Z, Zou B. Radiation and resolve: unlocking the synergistic potential of radioimmunotherapy in advanced lung cancer management. Immunotherapy 2024; 16:55-58. [PMID: 38054261 DOI: 10.2217/imt-2023-0268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023] Open
Abstract
Plain language summary This editorial talks about combining radiation therapy (using high-energy rays to kill cancer cells) and immunotherapy (boosting the body's immune system to fight cancer) to treat advanced lung cancer. When used together, these therapies can work better to kill more cancer cells and help patients live longer. But, there's still a lot we don't know. For instance, we need to figure out the best timing and doses for these treatments, and which patients will benefit the most. The article stresses that more research is needed to answer these questions and make this combined treatment a more effective option for advanced lung cancer patients.
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Affiliation(s)
- Yi Zhang
- Division of Thoracic Oncology, Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, P.R. China
| | - Zheng Li
- Division of Thoracic Oncology, Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, P.R. China
| | - Bingwen Zou
- Division of Thoracic Oncology, Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, P.R. China
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9
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Xuan L, Bai C, Ju Z, Luo J, Guan H, Zhou PK, Huang R. Radiation-targeted immunotherapy: A new perspective in cancer radiotherapy. Cytokine Growth Factor Rev 2024; 75:1-11. [PMID: 38061920 DOI: 10.1016/j.cytogfr.2023.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/22/2023] [Accepted: 11/28/2023] [Indexed: 02/16/2024]
Abstract
In contemporary oncology, radiation therapy and immunotherapy stand as critical treatments, each with distinct mechanisms and outcomes. Radiation therapy, a key player in cancer management, targets cancer cells by damaging their DNA with ionizing radiation. Its effectiveness is heightened when used alongside other treatments like surgery and chemotherapy. Employing varied radiation types like X-rays, gamma rays, and proton beams, this approach aims to minimize damage to healthy tissue. However, it is not without risks, including potential damage to surrounding normal cells and side effects ranging from skin inflammation to serious long-term complications. Conversely, immunotherapy marks a revolutionary step in cancer treatment, leveraging the body's immune system to target and destroy cancer cells. It manipulates the immune system's specificity and memory, offering a versatile approach either alone or in combination with other treatments. Immunotherapy is known for its targeted action, long-lasting responses, and fewer side effects compared to traditional therapies. The interaction between radiation therapy and immunotherapy is intricate, with potential for both synergistic and antagonistic effects. Their combined use can be more effective than either treatment alone, but careful consideration of timing and sequence is essential. This review explores the impact of various radiation therapy regimens on immunotherapy, focusing on changes in the immune microenvironment, immune protein expression, and epigenetic factors, emphasizing the need for personalized treatment strategies and ongoing research to enhance the efficacy of these combined therapies in cancer care.
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Affiliation(s)
- Lihui Xuan
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, Hunan Province 410078, China; Department of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Chenjun Bai
- Department of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Zhao Ju
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, Hunan Province 410078, China; Department of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Jinhua Luo
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, Hunan Province 410078, China; Department of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Hua Guan
- Department of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China.
| | - Ping-Kun Zhou
- Department of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China.
| | - Ruixue Huang
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, Hunan Province 410078, China.
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10
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Zdrenka M, Kowalewski A, Ahmadi N, Sadiqi RU, Chmura Ł, Borowczak J, Maniewski M, Szylberg Ł. Refining PD-1/PD-L1 assessment for biomarker-guided immunotherapy: A review. BIOMOLECULES & BIOMEDICINE 2024; 24:14-29. [PMID: 37877810 PMCID: PMC10787614 DOI: 10.17305/bb.2023.9265] [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: 05/10/2023] [Revised: 06/23/2023] [Accepted: 06/23/2023] [Indexed: 10/26/2023]
Abstract
Anti-programmed cell death ligand 1 (anti-PD-L1) immunotherapy is an increasingly crucial in cancer treatment. To date, the Federal Drug Administration (FDA) has approved four PD-L1 immunohistochemistry (IHC) staining protocols, commercially available in the form of "kits", facilitating testing for PD-L1 expression. These kits comprise four PD-L1 antibodies on two separate IHC platforms, each utilizing distinct, non-interchangeable scoring systems. Several factors, including tumor heterogeneity and the size of the tissue specimens assessed, can lead to PD-L1 status misclassification, potentially hindering the initiation of therapy. Therefore, the development of more accurate predictive biomarkers to distinguish between responders and non-responders prior to anti-PD-1/PD-L1 therapy warrants further research. Achieving this goal necessitates refining sampling criteria, enhancing current methods of PD-L1 detection, and deepening our understanding of the impact of additional biomarkers. In this article, we review potential solutions to improve the predictive accuracy of PD-L1 assessment in order to more precisely anticipate patients' responses to anti-PD-1/PD-L1 therapy, monitor disease progression and predict clinical outcomes.
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Affiliation(s)
- Marek Zdrenka
- Department of Tumor Pathology and Pathomorphology, Oncology Centre-Prof. Franciszek Łukaszczyk Memorial Hospital, Bydgoszcz, Poland
| | - Adam Kowalewski
- Department of Tumor Pathology and Pathomorphology, Oncology Centre-Prof. Franciszek Łukaszczyk Memorial Hospital, Bydgoszcz, Poland
| | - Navid Ahmadi
- Department of Cardiothoracic Surgery, Royal Papworth Hospital, Cambridge, UK
| | | | - Łukasz Chmura
- Department of Pathomorphology, Jagiellonian University Medical College, Kraków, Poland
| | - Jędrzej Borowczak
- Department of Obstetrics, Gynaecology and Oncology, Chair of Pathomorphology and Clinical Placentology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Bydgoszcz, Poland
| | - Mateusz Maniewski
- Department of Obstetrics, Gynaecology and Oncology, Chair of Pathomorphology and Clinical Placentology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Bydgoszcz, Poland
| | - Łukasz Szylberg
- Department of Tumor Pathology and Pathomorphology, Oncology Centre-Prof. Franciszek Łukaszczyk Memorial Hospital, Bydgoszcz, Poland
- Department of Obstetrics, Gynaecology and Oncology, Chair of Pathomorphology and Clinical Placentology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Bydgoszcz, Poland
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11
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Hanna GJ, Villa A, Nandi SP, Shi R, ONeill A, Liu M, Quinn CT, Treister NS, Sroussi HY, Vacharotayangul P, Goguen LA, Annino DJ, Rettig EM, Jo VY, Wong KS, Lizotte P, Paweletz CP, Uppaluri R, Haddad RI, Cohen EEW, Alexandrov LB, William WN, Lippman SM, Woo SB. Nivolumab for Patients With High-Risk Oral Leukoplakia: A Nonrandomized Controlled Trial. JAMA Oncol 2024; 10:32-41. [PMID: 37971722 PMCID: PMC10654930 DOI: 10.1001/jamaoncol.2023.4853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 08/07/2023] [Indexed: 11/19/2023]
Abstract
Importance Proliferative verrucous leukoplakia (PVL) is an aggressive oral precancerous disease characterized by a high risk of transformation to invasive oral squamous cell carcinoma (OSCC), and no therapies have been shown to affect its natural history. A recent study of the PVL immune landscape revealed a cytotoxic T-cell-rich microenvironment, providing strong rationale to investigate immune checkpoint therapy. Objective To determine the safety and clinical activity of anti-programmed cell death 1 protein (PD-1) therapy to treat high-risk PVL. Design, Setting, and Participants This nonrandomized, open-label, phase 2 clinical trial was conducted from January 2019 to December 2021 at a single academic medical center; median (range) follow-up was 21.1 (5.4-43.6) months. Participants were a population-based sample of patients with PVL (multifocal, contiguous, or a single lesion ≥4 cm with any degree of dysplasia). Intervention Patients underwent pretreatment biopsy (1-3 sites) and then received 4 doses of nivolumab (480 mg intravenously) every 28 days, followed by rebiopsy and intraoral photographs at each visit. Main Outcomes and Measures The primary end point was the change in composite score (size and degree of dysplasia) from before to after treatment (major response [MR]: >80% decrease in score; partial response: 40%-80% decrease). Secondary analyses included immune-related adverse events, cancer-free survival (CFS), PD-1 ligand 1 (PD-L1) expression, 9p21.3 deletion, and other exploratory immunologic and genomic associations of response. Results A total of 33 patients were enrolled (median [range] age, 63 [32-80] years; 18 [55%] were female), including 8 (24%) with previously resected early-stage OSCC. Twelve patients (36%) (95% CI, 20.4%-54.8%) had a response by composite score (3 MRs [9%]), 4 had progressive disease (>10% composite score increase, or cancer). Nine patients (27%) developed OSCC during the trial, with a 2-year CFS of 73% (95% CI, 53%-86%). Two patients (6%) discontinued because of toxic effects; 7 (21%) experienced grade 3 to 4 immune-related adverse events. PD-L1 combined positive scores were not associated with response or CFS. Of 20 whole-exome sequenced patients, all 6 patients who had progression to OSCC after nivolumab treatment exhibited 9p21.3 somatic copy-number loss on pretreatment biopsy, while only 4 of the 14 patients (29%) who did not develop OSCC had 9p21.3 loss. Conclusions and Relevance This immune checkpoint therapy precancer nonrandomized clinical trial met its prespecified response end point, suggesting potential clinical activity for nivolumab in high-risk PVL. Findings identified immunogenomic associations to inform future trials in this precancerous disease with unmet medical need that has been difficult to study. Trial Registration ClinicalTrials.gov Identifier: NCT03692325.
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Affiliation(s)
- Glenn J. Hanna
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Alessandro Villa
- Miami Cancer Institute and Herbert Wertheim College of Medicine, Florida International University, Miami
| | - Shuvro P. Nandi
- Moores Cancer Center, UC San Diego, La Jolla, California
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, California
| | - Ruichao Shi
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Anne ONeill
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mofei Liu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Charles T. Quinn
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Nathaniel S. Treister
- Division of Oral Medicine and Dentistry, Dana-Farber Cancer Institute and Brigham & Women’s Hospital, Boston, Massachusetts
| | - Herve Y. Sroussi
- Division of Oral Medicine and Dentistry, Dana-Farber Cancer Institute and Brigham & Women’s Hospital, Boston, Massachusetts
| | - Piamkamon Vacharotayangul
- Division of Oral Medicine and Dentistry, Dana-Farber Cancer Institute and Brigham & Women’s Hospital, Boston, Massachusetts
| | - Laura A. Goguen
- Division of Otolaryngology–Head and Neck Surgery, Brigham & Women’s Hospital and Head and Neck Surgical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Donald J. Annino
- Division of Otolaryngology–Head and Neck Surgery, Brigham & Women’s Hospital and Head and Neck Surgical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Eleni M. Rettig
- Division of Otolaryngology–Head and Neck Surgery, Brigham & Women’s Hospital and Head and Neck Surgical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Vickie Y. Jo
- Department of Pathology, Brigham & Women’s Hospital, Boston, Massachusetts
| | - Kristine S. Wong
- Department of Pathology, Brigham & Women’s Hospital, Boston, Massachusetts
| | - Patrick Lizotte
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Cloud P. Paweletz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ravindra Uppaluri
- Division of Otolaryngology–Head and Neck Surgery, Brigham & Women’s Hospital and Head and Neck Surgical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Robert I. Haddad
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Ludmil B. Alexandrov
- Moores Cancer Center, UC San Diego, La Jolla, California
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, California
- Department of Bioengineering, UC San Diego, La Jolla, California
| | - William N. William
- Oncology Center, Hospital BP, a Beneficência Portuguesa de São Paulo, São Paulo, Brazil
| | | | - Sook-bin Woo
- Division of Oral Medicine and Dentistry, Dana-Farber Cancer Institute and Brigham & Women’s Hospital, Boston, Massachusetts
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12
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Guterres A, Abrahim M, da Costa Neves PC. The role of immune subtyping in glioma mRNA vaccine development. Immunotherapy 2023; 15:1057-1072. [PMID: 37431617 DOI: 10.2217/imt-2023-0027] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/12/2023] Open
Abstract
Studies on the development of mRNA vaccines for central nervous system tumors have used gene expression profiles, clinical data and RNA sequencing from sources such as The Cancer Genome Atlas and Chinese Glioma Genome Atlas to identify effective antigens. These studies revealed several immune subtypes of glioma, each one linked to unique prognoses and genetic/immune-modulatory changes. Potential antigens include ARPC1B, BRCA2, COL6A1, ITGB3, IDH1, LILRB2, TP53 and KDR, among others. Patients with immune-active and immune-suppressive phenotypes were found to respond better to mRNA vaccines. While these findings indicate the potential of mRNA vaccines in cancer therapy, further research is required to optimize administration and adjuvant selection, and precisely identify target antigens.
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Affiliation(s)
- Alexandro Guterres
- Laboratório de Tecnologia Imunológica, Instituto de Tecnologia em Imunobiológicos, Vice-Diretoria de Desenvolvimento Tecnológico, Bio-Manguinhos, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, RJ, 21040-360, Brazil
| | - Mayla Abrahim
- Laboratório de Tecnologia Imunológica, Instituto de Tecnologia em Imunobiológicos, Vice-Diretoria de Desenvolvimento Tecnológico, Bio-Manguinhos, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, RJ, 21040-360, Brazil
| | - Patrícia Cristina da Costa Neves
- Laboratório de Tecnologia Imunológica, Instituto de Tecnologia em Imunobiológicos, Vice-Diretoria de Desenvolvimento Tecnológico, Bio-Manguinhos, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, RJ, 21040-360, Brazil
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13
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Yang K, Halima A, Chan TA. Antigen presentation in cancer - mechanisms and clinical implications for immunotherapy. Nat Rev Clin Oncol 2023; 20:604-623. [PMID: 37328642 DOI: 10.1038/s41571-023-00789-4] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2023] [Indexed: 06/18/2023]
Abstract
Over the past decade, the emergence of effective immunotherapies has revolutionized the clinical management of many types of cancers. However, long-term durable tumour control is only achieved in a fraction of patients who receive these therapies. Understanding the mechanisms underlying clinical response and resistance to treatment is therefore essential to expanding the level of clinical benefit obtained from immunotherapies. In this Review, we describe the molecular mechanisms of antigen processing and presentation in tumours and their clinical consequences. We examine how various aspects of the antigen-presentation machinery (APM) shape tumour immunity. In particular, we discuss genomic variants in HLA alleles and other APM components, highlighting their influence on the immunopeptidomes of both malignant cells and immune cells. Understanding the APM, how it is regulated and how it changes in tumour cells is crucial for determining which patients will respond to immunotherapy and why some patients develop resistance. We focus on recently discovered molecular and genomic alterations that drive the clinical outcomes of patients receiving immune-checkpoint inhibitors. An improved understanding of how these variables mediate tumour-immune interactions is expected to guide the more precise administration of immunotherapies and reveal potentially promising directions for the development of new immunotherapeutic approaches.
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Affiliation(s)
- Kailin Yang
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH, USA
| | - Ahmed Halima
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH, USA
| | - Timothy A Chan
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH, USA.
- Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH, USA.
- National Center for Regenerative Medicine, Cleveland, OH, USA.
- Case Comprehensive Cancer Center, Cleveland, OH, USA.
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14
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He P, Tang H, Zheng Y, Xiong Y, Cheng H, Li J, Zhang Y, Liu G. Advances in nanomedicines for lymphatic imaging and therapy. J Nanobiotechnology 2023; 21:292. [PMID: 37620846 PMCID: PMC10463797 DOI: 10.1186/s12951-023-02022-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 07/24/2023] [Indexed: 08/26/2023] Open
Abstract
Lymph nodes play a pivotal role in tumor progression as key components of the lymphatic system. However, the unique physiological structure of lymph nodes has traditionally constrained the drug delivery efficiency. Excitingly, nanomedicines have shown tremendous advantages in lymph node-specific delivery, enabling distinct recognition and diagnosis of lymph nodes, and hence laying the foundation for efficient tumor therapies. In this review, we comprehensively discuss the key factors affecting the specific enrichment of nanomedicines in lymph nodes, and systematically summarize nanomedicines for precise lymph node drug delivery and therapeutic application, including the lymphatic diagnosis and treatment nanodrugs and lymph node specific imaging and identification system. Notably, we delve into the critical challenges and considerations currently facing lymphatic nanomedicines, and futher propose effective strategies to address these issues. This review encapsulates recent findings, clinical applications, and future prospects for designing effective nanocarriers for lymphatic system targeting, with potential implications for improving cancer treatment strategies.
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Affiliation(s)
- Pan He
- Department of Hepatobiliary Surgery, Academician (Expert) Workstation, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637600, China
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, 361002, China
| | - Haitian Tang
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, 361002, China
| | - Yating Zheng
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, 361002, China
| | - Yongfu Xiong
- Department of Hepatobiliary Surgery, Academician (Expert) Workstation, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637600, China
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, 361002, China
| | - Hongwei Cheng
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, 361002, China
| | - Jingdong Li
- Department of Hepatobiliary Surgery, Academician (Expert) Workstation, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637600, China.
| | - Yang Zhang
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, 361002, China.
| | - Gang Liu
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen, 361002, China.
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15
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Sharma P, Goswami S, Raychaudhuri D, Siddiqui BA, Singh P, Nagarajan A, Liu J, Subudhi SK, Poon C, Gant KL, Herbrich SM, Anandhan S, Islam S, Amit M, Anandappa G, Allison JP. Immune checkpoint therapy-current perspectives and future directions. Cell 2023; 186:1652-1669. [PMID: 37059068 DOI: 10.1016/j.cell.2023.03.006] [Citation(s) in RCA: 178] [Impact Index Per Article: 178.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 02/28/2023] [Accepted: 03/03/2023] [Indexed: 04/16/2023]
Abstract
Immune checkpoint therapy (ICT) has dramatically altered clinical outcomes for cancer patients and conferred durable clinical benefits, including cure in a subset of patients. Varying response rates across tumor types and the need for predictive biomarkers to optimize patient selection to maximize efficacy and minimize toxicities prompted efforts to unravel immune and non-immune factors regulating the responses to ICT. This review highlights the biology of anti-tumor immunity underlying response and resistance to ICT, discusses efforts to address the current challenges with ICT, and outlines strategies to guide the development of subsequent clinical trials and combinatorial efforts with ICT.
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Affiliation(s)
- Padmanee Sharma
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; The Immunotherapy Platform, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; James P. Allison Institute, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Sangeeta Goswami
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Deblina Raychaudhuri
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bilal A Siddiqui
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pratishtha Singh
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ashwat Nagarajan
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jielin Liu
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; MD Anderson UT Health Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sumit K Subudhi
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Candice Poon
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kristal L Gant
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shelley M Herbrich
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Swetha Anandhan
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; MD Anderson UT Health Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shajedul Islam
- Department of Head & Neck Surgery Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Moran Amit
- Department of Head & Neck Surgery Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gayathri Anandappa
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - James P Allison
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; The Immunotherapy Platform, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; James P. Allison Institute, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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16
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Thu MS, Ondee T, Nopsopon T, Farzana IAK, Fothergill JL, Hirankarn N, Campbell BJ, Pongpirul K. Effect of Probiotics in Breast Cancer: A Systematic Review and Meta-Analysis. BIOLOGY 2023; 12:biology12020280. [PMID: 36829557 PMCID: PMC10004677 DOI: 10.3390/biology12020280] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/05/2023] [Accepted: 02/08/2023] [Indexed: 02/12/2023]
Abstract
Probiotics may have the potential to protect against breast cancer, partly through systemic immunomodulatory action and active impact upon intestinal microbiota. Given a few clinical studies on their curative role, we conducted a systematic review of the potential effects of probiotics in breast cancer patients and survivors of breast cancer, aiming to support further clinical studies. A literature search was performed using PubMed, Embase, and the CENTRAL databases from inception through to March 2022. A total of eight randomized clinical trials were identified from thirteen articles published between 2004 and 2022. We evaluated quality-of-life measures, observed bacterial species and diversity indices, probiotic-related metabolites, inflammatory biomarkers, and other responses in breast cancer patients and survivors. Results were synthesized qualitatively and quantitatively using random-effects meta-analysis. Different probiotics supplements utilized included Lactobacillus species alone (Lacto), with or without estriol; probiotic combinations of Lactobacillus with Bifidobacterium (ProLB), with or without prebiotic fructooligosaccharides (FOS); ProLB plus Streptococcus and FOS (ProLBS + FOS); and ProLB plus Enterococcus (ProLBE). We found that use of ProLBS with FOS in breast cancer patients and use of ProLBE in survivors of breast cancer show potential benefits in countering obesity and dyslipidemia. ProLBS with FOS use decreases pro-inflammatory TNF-α in breast cancer survivors and improves quality of life in those with breast-cancer-associated lymphedema. Supplementing probiotics capsules (109 CFU) with a prebiotic and using an intake duration of 10 weeks could provide a better approach than probiotics alone.
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Affiliation(s)
- May S. Thu
- Center of Excellence in Immunology and Immune-Mediated Diseases, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Department of Infection Biology & Microbiomes, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool L69 3GE, UK
- Joint Chulalongkorn University—University of Liverpool PhD Programme in Biomedical Sciences and Biotechnology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Thunnicha Ondee
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Tanawin Nopsopon
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- School of Global Health, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02215, USA
| | - Izzati A. K. Farzana
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Joanne L. Fothergill
- Department of Clinical Infection, Microbiology & Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool L69 7BE, UK
| | - Nattiya Hirankarn
- Center of Excellence in Immunology and Immune-Mediated Diseases, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Barry J. Campbell
- Department of Infection Biology & Microbiomes, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool L69 3GE, UK
- Correspondence: (B.J.C.); (K.P.)
| | - Krit Pongpirul
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- School of Global Health, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21211, USA
- Bumrungrad International Hospital, Bangkok 10110, Thailand
- Correspondence: (B.J.C.); (K.P.)
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Andrade de Oliveira K, Sengupta S, Yadav AK, Clarke R. The complex nature of heterogeneity and its roles in breast cancer biology and therapeutic responsiveness. Front Endocrinol (Lausanne) 2023; 14:1083048. [PMID: 36909339 PMCID: PMC9997040 DOI: 10.3389/fendo.2023.1083048] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 02/02/2023] [Indexed: 02/25/2023] Open
Abstract
Heterogeneity is a complex feature of cells and tissues with many interacting components. Depending on the nature of the research context, interacting features of cellular, drug response, genetic, molecular, spatial, temporal, and vascular heterogeneity may be present. We describe the various forms of heterogeneity with examples of their interactions and how they play a role in affecting cellular phenotype and drug responses in breast cancer. While cellular heterogeneity may be the most widely described and invoked, many forms of heterogeneity are evident within the tumor microenvironment and affect responses to the endocrine and cytotoxic drugs widely used in standard clinical care. Drug response heterogeneity is a critical determinant of clinical response and curative potential and also is multifaceted when encountered. The interactive nature of some forms of heterogeneity is readily apparent. For example, the process of metastasis has the properties of both temporal and spatial heterogeneity within the host, whereas each individual metastatic deposit may exhibit cellular, genetic, molecular, and vascular heterogeneity. This review describes the many forms of heterogeneity, their integrated activities, and offers some insights into how heterogeneity may be understood and studied in the future.
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Affiliation(s)
- Karla Andrade de Oliveira
- The Hormel Institute, University of Minnesota, Austin, MN, United States
- Department of Biochemistry and Pharmacology, Universidade Federal do Piaui, Piauí, Brazil
| | - Surojeet Sengupta
- The Hormel Institute, University of Minnesota, Austin, MN, United States
| | - Anil Kumar Yadav
- The Hormel Institute, University of Minnesota, Austin, MN, United States
| | - Robert Clarke
- The Hormel Institute, University of Minnesota, Austin, MN, United States
- *Correspondence: Robert Clarke,
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