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Rajendran R, Beck RC, Waskasi MM, Kelly BD, Bauer DR. Digital analysis of the prostate tumor microenvironment with high-order chromogenic multiplexing. J Pathol Inform 2024; 15:100352. [PMID: 38186745 PMCID: PMC10770522 DOI: 10.1016/j.jpi.2023.100352] [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: 07/18/2023] [Revised: 09/30/2023] [Accepted: 11/16/2023] [Indexed: 01/09/2024] Open
Abstract
As our understanding of the tumor microenvironment grows, the pathology field is increasingly utilizing multianalyte diagnostic assays to understand important characteristics of tumor growth. In clinical settings, brightfield chromogenic assays represent the gold-standard and have developed significant trust as the first-line diagnostic method. However, conventional brightfield tests have been limited to low-order assays that are visually interrogated. We have developed a hybrid method of brightfield chromogenic multiplexing that overcomes these limitations and enables high-order multiplex assays. However, how compatible high-order brightfield multiplexed images are with advanced analytical algorithms has not been extensively evaluated. In the present study, we address this gap by developing a novel 6-marker prostate cancer assay that targets diverse aspects of the tumor microenvironment such as prostate-specific biomarkers (PSMA and p504s), immune biomarkers (CD8 and PD-L1), a prognostic biomarker (Ki-67), as well as an adjunctive diagnostic biomarker (basal cell cocktail) and apply the assay to 143 differentially graded adenocarcinoma prostate tissues. The tissues were then imaged on our spectroscopic multiplexing imaging platform and mined for proteomic and spatial features that were correlated with cancer presence and disease grade. Extracted features were used to train a UMAP model that differentiated healthy from cancerous tissue with an accuracy of 89% and identified clusters of cells based on cancer grade. For spatial analysis, cell-to-cell distances were calculated for all biomarkers and differences between healthy and adenocarcinoma tissues were studied. We report that p504s positive cells were at least 2× closer to cells expressing PD-L1, CD8, Ki-67, and basal cell in adenocarcinoma tissues relative to the healthy control tissues. These findings offer a powerful insight to understand the fingerprint of the prostate tumor microenvironment and indicate that high-order chromogenic multiplexing is compatible with digital analysis. Thus, the presented chromogenic multiplexing system combines the clinical applicability of brightfield assays with the emerging diagnostic power of high-order multiplexing in a digital pathology friendly format that is well-suited for translational studies to better understand mechanisms of tumor development and growth.
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Affiliation(s)
- Rahul Rajendran
- Roche Diagnostics Solutions, (Ventana Medical Systems, Inc.), Tucson, AZ, USA
| | - Rachel C. Beck
- Roche Diagnostics Solutions, (Ventana Medical Systems, Inc.), Tucson, AZ, USA
| | - Morteza M. Waskasi
- Roche Diagnostics Solutions, (Ventana Medical Systems, Inc.), Tucson, AZ, USA
| | - Brian D. Kelly
- Roche Diagnostics Solutions, (Ventana Medical Systems, Inc.), Tucson, AZ, USA
| | - Daniel R. Bauer
- Roche Diagnostics Solutions, (Ventana Medical Systems, Inc.), Tucson, AZ, USA
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2
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Christyani G, Carswell M, Qin S, Kim W. An Overview of Advances in Rare Cancer Diagnosis and Treatment. Int J Mol Sci 2024; 25:1201. [PMID: 38256274 PMCID: PMC10815984 DOI: 10.3390/ijms25021201] [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: 12/01/2023] [Revised: 01/11/2024] [Accepted: 01/17/2024] [Indexed: 01/24/2024] Open
Abstract
Cancer stands as the leading global cause of mortality, with rare cancer comprising 230 distinct subtypes characterized by infrequent incidence. Despite the inherent challenges in addressing the diagnosis and treatment of rare cancers due to their low occurrence rates, several biomedical breakthroughs have led to significant advancement in both areas. This review provides a comprehensive overview of state-of-the-art diagnostic techniques that encompass new-generation sequencing and multi-omics, coupled with the integration of artificial intelligence and machine learning, that have revolutionized rare cancer diagnosis. In addition, this review highlights the latest innovations in rare cancer therapeutic options, comprising immunotherapy, targeted therapy, transplantation, and drug combination therapy, that have undergone clinical trials and significantly contribute to the tumor remission and overall survival of rare cancer patients. In this review, we summarize recent breakthroughs and insights in the understanding of rare cancer pathophysiology, diagnosis, and therapeutic modalities, as well as the challenges faced in the development of rare cancer diagnosis data interpretation and drug development.
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Affiliation(s)
| | | | - Sisi Qin
- Department of Integrated Biomedical Science, Soonchunhyang Institute of Medi-Bio Science (SIMS), Soonchunhyang University, Cheonan 31151, Chungcheongnam-do, Republic of Korea; (G.C.); (M.C.)
| | - Wootae Kim
- Department of Integrated Biomedical Science, Soonchunhyang Institute of Medi-Bio Science (SIMS), Soonchunhyang University, Cheonan 31151, Chungcheongnam-do, Republic of Korea; (G.C.); (M.C.)
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3
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Parra ER, Ilié M, Wistuba II, Hofman P. Quantitative multiplexed imaging technologies for single-cell analysis to assess predictive markers for immunotherapy in thoracic immuno-oncology: promises and challenges. Br J Cancer 2023; 129:1417-1431. [PMID: 37391504 PMCID: PMC10628288 DOI: 10.1038/s41416-023-02318-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 05/05/2023] [Accepted: 06/12/2023] [Indexed: 07/02/2023] Open
Abstract
The past decade has witnessed a revolution in cancer treatment by the shift from conventional drugs (chemotherapies) towards targeted molecular therapies and immune-based therapies, in particular the immune-checkpoint inhibitors (ICIs). These immunotherapies selectively release the host immune system against the tumour and have shown unprecedented durable remission for patients with cancers that were thought incurable such as advanced non-small cell lung cancer (aNSCLC). The prediction of therapy response is based since the first anti-PD-1/PD-L1 molecules FDA and EMA approvals on the level of PD-L1 tumour cells expression evaluated by immunohistochemistry, and recently more or less on tumour mutation burden in the USA. However, not all aNSCLC patients benefit from immunotherapy equally, since only around 30% of them received ICIs and among them 30% have an initial response to these treatments. Conversely, a few aNSCLC patients could have an efficacy ICIs response despite low PD-L1 tumour cells expression. In this context, there is an urgent need to look for additional robust predictive markers for ICIs efficacy in thoracic oncology. Understanding of the mechanisms that enable cancer cells to adapt to and eventually overcome therapy and identifying such mechanisms can help circumvent resistance and improve treatment. However, more than a unique universal marker, the evaluation of several molecules in the tumour at the same time, particularly by using multiplex immunostaining is a promising open room to optimise the selection of patients who benefit from ICIs. Therefore, urgent further efforts are needed to optimise to individualise immunotherapy based on both patient-specific and tumour-specific characteristics. This review aims to rethink the role of multiplex immunostaining in immuno-thoracic oncology, with the current advantages and limitations in the near-daily practice use.
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Affiliation(s)
- Edwin Roger Parra
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Marius Ilié
- Laboratory of Clinical and Experimental Pathology, Biobank Côte d'Azur BB-0033-00025, FHU OncoAge, IHU RespirERA, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Paul Hofman
- Laboratory of Clinical and Experimental Pathology, Biobank Côte d'Azur BB-0033-00025, FHU OncoAge, IHU RespirERA, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France.
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4
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Wang J, Li RZ, Wang WJ, Pan HD, Xie C, Yau LF, Wang XX, Long WL, Chen RH, Liang TL, Ma LR, Li JX, Huang JM, Wu QB, Liu L, He JX, Leung ELH. CERS4 predicts positive anti-PD-1 response and promotes immunomodulation through Rhob-mediated suppression of CD8 +Tim3 + exhausted T cells in non-small cell lung cancer. Pharmacol Res 2023; 194:106850. [PMID: 37453674 DOI: 10.1016/j.phrs.2023.106850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 07/08/2023] [Accepted: 07/10/2023] [Indexed: 07/18/2023]
Abstract
Non-small cell lung cancer (NSCLC) is one of the main malignant tumors with high mortality and short survival time. Immunotherapy has become the standard treatment for advanced NSCLC, but it has the problems of drug resistance and low response rate. Therefore, obtaining effective biomarkers to predict and enhance immune checkpoint inhibitors (ICIs) efficacy in NSCLC is important. Sphingolipid metabolism is recently found to be closely involved in tumor immunotherapy. CERS4, an important sphingolipid metabolizing enzyme, is positively correlated with the efficacy of anti-PD-1 therapy for NSCLC. Upregulation of CERS4 expression could improve the efficacy of anti-PD-1 therapy for NSCLC. High expression of CERS4 could downregulate the expression of Rhob in tumor. Significantly, the ratio of CD4+/CD8+ T cell increased and the ratio of Tim-3+/CD8+ T cell decreased in spleen and peripheral blood cells. When Rhob was knocked out, the efficacy of PD-1 mAb treatment increased, and the frequency of Tim-3+ CD8+ T cell decreased. This finding further confirmed the role of sphingolipid metabolites in regulating the immunotherapeutic function of NSCLC. These metabolites may improve the efficacy of PD-1 mAb in NSCLC by regulating the CERS4/Rhob/Tim-3 axis. Overall, this study provided a potential and effective target for predicting and improving the efficacy of ICIs for NSCLC. It also provided a new perspective for the study on the mechanisms of ICIs resistance for NSCLC.
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Affiliation(s)
- Jian Wang
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China; Department of Medical Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Run-Ze Li
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China; Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou, China
| | - Wen-Jun 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, China
| | - Hu-Dan Pan
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China; Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou, China
| | - Chun Xie
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau (SAR), China. MOE Frontiers Science Center for Precision Oncology, University of Macau, Macau (SAR), China. State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau (SAR), China
| | - Lee-Fong Yau
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China
| | - Xing-Xia Wang
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China
| | - Wei-Li Long
- Department of Oncology, Luzhou People's Hospital, Luzhou, Sichuan, China
| | - Rui-Hong Chen
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China
| | - Tu-Liang Liang
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Lin-Rui Ma
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China
| | - Jia-Xin Li
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China
| | - Ju-Min Huang
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau (SAR), China. MOE Frontiers Science Center for Precision Oncology, University of Macau, Macau (SAR), China. State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau (SAR), China
| | - Qi-Biao Wu
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China
| | - Liang Liu
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China; Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou, China.
| | - Jian-Xing He
- 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, China.
| | - Elaine Lai-Han Leung
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau (SAR), China. MOE Frontiers Science Center for Precision Oncology, University of Macau, Macau (SAR), China. State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau (SAR), China; Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, the Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, China; Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, Chengdu Third People's Hospital Branch of National Clinical Research Center for Respiratory Disease, Chengdu, China.
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5
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Abousamra S, Fassler D, Yao J, Gupta R, Kurc T, Escobar-Hoyos L, Samaras D, Shroyer K, Saltz J, Chen C. Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. PROCEEDINGS OF MACHINE LEARNING RESEARCH 2023; 227:74-94. [PMID: 38817539 PMCID: PMC11138139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
Multiplex Immunohistochemistry (mIHC) is a cost-effective and accessible method for in situ labeling of multiple protein biomarkers in a tissue sample. By assigning a different stain to each biomarker, it allows the visualization of different types of cells within the tumor vicinity for downstream analysis. However, to detect different types of stains in a given mIHC image is a challenging problem, especially when the number of stains is high. Previous deep-learning-based methods mostly assume full supervision; yet the annotation can be costly. In this paper, we propose a novel unsupervised stain decomposition method to detect different stains simultaneously. Our method does not require any supervision, except for color samples of different stains. A main technical challenge is that the problem is underdetermined and can have multiple solutions. To conquer this issue, we propose a novel inversion regulation technique, which eliminates most undesirable solutions. On a 7-plexed IHC images dataset, the proposed method achieves high quality stain decomposition results without human annotation.
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Affiliation(s)
| | | | - Jiachen Yao
- Stony Brook University, Department of Computer Science, USA
| | - Rajarsi Gupta
- Stony Brook University, Department of Biomedical Informatics, USA
| | - Tahsin Kurc
- Stony Brook University, Department of Biomedical Informatics, USA
| | - Luisa Escobar-Hoyos
- Stony Brook University, Department of Pathology, USA
- Yale University, Department of Therapeutic Radiology, USA
| | | | | | - Joel Saltz
- Stony Brook University, Department of Biomedical Informatics, USA
| | - Chao Chen
- Stony Brook University, Department of Biomedical Informatics, USA
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6
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Levin M, AkhavanAghdam Z, Schwartz D. Multiplex Immunochromogenic Tissue Staining Employing Primary Antibodies from the Same Species. Methods Mol Biol 2022; 2593:127-142. [PMID: 36513928 DOI: 10.1007/978-1-0716-2811-9_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Chromogenic immunohistochemistry (IHC) serves as an essential assay for the diagnoses of many diseases including cancer. Single-marker IHC detection is the standard used for clinical diagnostic assays. A technology to stain multiple biomarkers chromogenically on a single tissue will also yield contextual biomarker information. Methods to chromogenically stain multiple biomarkers simultaneously employing antibodies from the same species are limited and require complex protocols. Here we describe both manual and automated protocols using the UltraPlex™ mxIHC technology that allows simultaneous detection of up to three biomarkers on a single tissue using a single heat-induced antigen retrieval step in formaldehyde-fixed paraffin-embedded (FFPE) tissue and using primary antibodies from any species.
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7
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Kuczkiewicz-Siemion O, Sokół K, Puton B, Borkowska A, Szumera-Ciećkiewicz A. The Role of Pathology-Based Methods in Qualitative and Quantitative Approaches to Cancer Immunotherapy. Cancers (Basel) 2022; 14:cancers14153833. [PMID: 35954496 PMCID: PMC9367614 DOI: 10.3390/cancers14153833] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/25/2022] [Accepted: 08/02/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Immunotherapy has become the filar of modern oncological treatment, and programmed death-ligand 1 expression is one of the primary immune markers assessed by pathologists. However, there are still some issues concerning the evaluation of the marker and limited information about the interaction between the tumour and associated immune cells. Recent studies have focused on cancer immunology to try to understand the complex tumour microenvironment, and multiplex imaging methods are more widely used for this purpose. The presented article aims to provide an overall review of a different multiplex in situ method using spectral imaging, supported by automated image-acquisition and software-assisted marker visualisation and interpretation. Multiplex imaging methods could improve the current understanding of complex tumour-microenvironment immunology and could probably help to better match patients to appropriate treatment regimens. Abstract Immune checkpoint inhibitors, including those concerning programmed cell death 1 (PD-1) and its ligand (PD-L1), have revolutionised the cancer therapy approach in the past decade. However, not all patients benefit from immunotherapy equally. The prediction of patient response to this type of therapy is mainly based on conventional immunohistochemistry, which is limited by intraobserver variability, semiquantitative assessment, or single-marker-per-slide evaluation. Multiplex imaging techniques and digital image analysis are powerful tools that could overcome some issues concerning tumour-microenvironment studies. This novel approach to biomarker assessment offers a better understanding of the complicated interactions between tumour cells and their environment. Multiplex labelling enables the detection of multiple markers simultaneously and the exploration of their spatial organisation. Evaluating a variety of immune cell phenotypes and differentiating their subpopulations is possible while preserving tissue histology in most cases. Multiplexing supported by digital pathology could allow pathologists to visualise and understand every cell in a single tissue slide and provide meaning in a complex tumour-microenvironment contexture. This review aims to provide an overview of the different multiplex imaging methods and their application in PD-L1 biomarker assessment. Moreover, we discuss digital imaging techniques, with a focus on slide scanners and software.
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Affiliation(s)
- Olga Kuczkiewicz-Siemion
- Department of Pathology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
- Diagnostic Hematology Department, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, Poland
- Correspondence: (O.K.-S.); (A.S.-C.)
| | - Kamil Sokół
- Diagnostic Hematology Department, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, Poland
| | - Beata Puton
- Department of Pathology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
| | - Aneta Borkowska
- Department of Soft Tissue/Bone Sarcoma and Melanoma, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
| | - Anna Szumera-Ciećkiewicz
- Department of Pathology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
- Correspondence: (O.K.-S.); (A.S.-C.)
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8
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Qi J, Liu X, Yan P, He S, Lin Y, Huang Z, Zhang S, Xie S, Li Y, Lu X, Wu Y, Zhou Y, Yuan J, Cai T, Zheng X, Ding Y, Yang W. Analysis of Immune Landscape Reveals Prognostic Significance of Cytotoxic CD4 + T Cells in the Central Region of pMMR CRC. Front Oncol 2021; 11:724232. [PMID: 34631551 PMCID: PMC8493090 DOI: 10.3389/fonc.2021.724232] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 09/06/2021] [Indexed: 12/22/2022] Open
Abstract
Background Mismatch repair proficient colorectal cancer (pMMR CRC) lacks effective treatments and has a poor prognosis, which can be attributed to the complexity of tumor microenvironment. The coordinated function of immune cells is vital to anti-tumor immunity. However, the spatial characteristics of immune cells in the pMMR CRC immune microenvironment and their relationship with clinical prognosis are not fully understood. Meanwhile, the immune modulatory effect of neoadjuvant chemotherapy (NCT), which is the first-line treatment of pMMR CRC, needs further investigation. Therefore, this study aims to explore the spatial dynamics of immune cells and its prognostic value in pMMR CRC. Methods We analyzed the various immune cells in formalin-fixed, paraffin-embedded tumor tissues which were collected from 77 patients with stage II/III of pMMR CRC, including 39 non-NCT treated and 38 NCT treated patients. We used the optimized multiplex immunohistochemistry (mIHC) to identify and quantify the density, type and location of immune cells in pMMR CRC. Multivariate survival analysis was performed to assess the relationship of immune profiles and clinical prognosis of pMMR CRC patients. Results The densities of most T cell subsets, B cells and macrophages were higher in the central region of the pMMR CRC than in the invasion margin. Tumor infiltrating lymphocytes (TILs), especially the infiltration of CD4+ GzmB+ T cells in the central region of the tumor was identified to be positively correlated with the prognosis of the patients. Multivariate analysis confirmed that CD4+ GzmB+ T cells population was an independent predictor of disease-free survival (DFS) in non-NCT group. Meanwhile, NCT enhanced the infiltration of CD4+ GzmB+ T cells in the central region of the pMMR CRC, which was also identified as an independent protective factor of overall survival (OS) and DFS in NCT group. Conclusion We demonstrated that the level of CD4+ GzmB+ T cells located in the center of tumor could provide great prognostic value for pMMR CRC patients. And the application of neoadjuvant chemotherapy further improves the infiltration of CD4+ GzmB+ T cells in the central compartment. Further studies into the application of CD4+ GzmB+ T cells in tumor immunotherapy are needed.
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Affiliation(s)
- Jingwen Qi
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Molecular Oncologic Pathology, Southern Medical University, Guangzhou, China
| | - Xiaoyan Liu
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Molecular Oncologic Pathology, Southern Medical University, Guangzhou, China
| | - Peian Yan
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Molecular Oncologic Pathology, Southern Medical University, Guangzhou, China
| | - Shangwen He
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yuhao Lin
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Zhiwei Huang
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Shenyan Zhang
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Molecular Oncologic Pathology, Southern Medical University, Guangzhou, China
| | - Siyu Xie
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Molecular Oncologic Pathology, Southern Medical University, Guangzhou, China
| | - Yanfeng Li
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Molecular Oncologic Pathology, Southern Medical University, Guangzhou, China
| | - Xiaofei Lu
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Molecular Oncologic Pathology, Southern Medical University, Guangzhou, China
| | - Yingjun Wu
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Molecular Oncologic Pathology, Southern Medical University, Guangzhou, China
| | - Yangshu Zhou
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Molecular Oncologic Pathology, Southern Medical University, Guangzhou, China
| | - Juanjuan Yuan
- Research Department of Medical Sciences, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ting Cai
- Research Department of Medical Sciences, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiaojun Zheng
- Research Department of Medical Sciences, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yanqing Ding
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Molecular Oncologic Pathology, Southern Medical University, Guangzhou, China
| | - Wei Yang
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Molecular Oncologic Pathology, Southern Medical University, Guangzhou, China
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9
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Nussbaum YI, Manjunath Y, Suvilesh KN, Warren WC, Shyu CR, Kaifi JT, Ciorba MA, Mitchem JB. Current and Prospective Methods for Assessing Anti-Tumor Immunity in Colorectal Cancer. Int J Mol Sci 2021; 22:4802. [PMID: 33946558 PMCID: PMC8125332 DOI: 10.3390/ijms22094802] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/23/2021] [Accepted: 04/27/2021] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer (CRC) remains one of the deadliest malignancies worldwide despite recent progress in treatment strategies. Though immune checkpoint inhibition has proven effective for a number of other tumors, it offers benefits in only a small group of CRC patients with high microsatellite instability. In general, heterogenous cell groups in the tumor microenvironment are considered as the major barrier for unveiling the causes of low immune response. Therefore, deconvolution of cellular components in highly heterogeneous microenvironments is crucial for understanding the immune contexture of cancer. In this review, we assimilate current knowledge and recent studies examining anti-tumor immunity in CRC. We also discuss the utilization of novel immune contexture assessment methods that have not been used in CRC research to date.
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Affiliation(s)
- Yulia I. Nussbaum
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65201, USA; (Y.I.N.); (C.-R.S.); (J.T.K.)
| | - Yariswamy Manjunath
- Department of Surgery, Columbia, MO 65212, USA; (Y.M.); (K.N.S.); (W.C.W.)
- Harry S. Truman Memorial Veterans’ Hospital, Columbia, MO 65201, USA
| | - Kanve N. Suvilesh
- Department of Surgery, Columbia, MO 65212, USA; (Y.M.); (K.N.S.); (W.C.W.)
| | - Wesley C. Warren
- Department of Surgery, Columbia, MO 65212, USA; (Y.M.); (K.N.S.); (W.C.W.)
- Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA
| | - Chi-Ren Shyu
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65201, USA; (Y.I.N.); (C.-R.S.); (J.T.K.)
| | - Jussuf T. Kaifi
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65201, USA; (Y.I.N.); (C.-R.S.); (J.T.K.)
- Department of Surgery, Columbia, MO 65212, USA; (Y.M.); (K.N.S.); (W.C.W.)
- Harry S. Truman Memorial Veterans’ Hospital, Columbia, MO 65201, USA
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA;
| | - Matthew A. Ciorba
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA;
- Division of Gastroenterology, Department of Medicine, Washington School of Medicine, St. Louis, MO 63110, USA
| | - Jonathan B. Mitchem
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65201, USA; (Y.I.N.); (C.-R.S.); (J.T.K.)
- Department of Surgery, Columbia, MO 65212, USA; (Y.M.); (K.N.S.); (W.C.W.)
- Harry S. Truman Memorial Veterans’ Hospital, Columbia, MO 65201, USA
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA;
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10
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Sørensen MD, Nielsen O, Reifenberger G, Kristensen BW. The presence of TIM-3 positive cells in WHO grade III and IV astrocytic gliomas correlates with isocitrate dehydrogenase mutation status. Brain Pathol 2021; 31:e12921. [PMID: 33244787 PMCID: PMC8412096 DOI: 10.1111/bpa.12921] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 11/23/2020] [Indexed: 12/23/2022] Open
Abstract
Diffuse gliomas are aggressive brain tumors that respond poorly to immunotherapy including immune checkpoint inhibition. This resistance may arise from an immunocompromised microenvironment and deficient immune recognition of tumor cells because of low mutational burden. The most prominent genetic alterations in diffuse glioma are mutations in the isocitrate dehydrogenase (IDH) genes that generate the immunosuppressive oncometabolite d-2-hydroxyglutarate. Our objective was to explore the association between IDH mutation and presence of cells expressing the immune checkpoint proteins galectin-9 and/or T cell immunoglobulin and mucin-domain containing-3 (TIM-3). Astrocytic gliomas of World Health Organization (WHO) grades III or IV (36 IDH-mutant and 36 IDH-wild-type) from 72 patients were included in this study. A novel multiplex chromogenic immunohistochemistry panel was applied using antibodies against galectin-9, TIM-3, and the oligodendrocyte transcription factor 2 (OLIG2). Validation studies were performed using data from The Cancer Genome Atlas (TCGA) project. IDH mutation was associated with decreased levels of TIM-3+ cells (p < 0.05). No significant association was found between galectin-9 and IDH status (p = 0.10). Most TIM-3+ and galectin-9+ cells resembled microglia/macrophages, and very few TIM-3+ and/or galectin-9+ cells co-expressed OLIG2. The percentage of TIM-3+ T cells was generally low, however, IDH-mutant tumors contained significantly fewer TIM-3+ T cells (p < 0.01) and had a lower interaction rate between TIM-3+ T cells and galectin-9+ microglia/macrophages (p < 0.05). TCGA data confirmed lower TIM-3 mRNA expression in IDH-mutant compared to IDH-wild-type astrocytic gliomas (p = 0.013). Our results show that IDH mutation is associated with diminished levels of TIM-3+ cells and fewer interactions between TIM-3+ T cells and galectin-9+ microglia/macrophages, suggesting reduced activity of the galectin-9/TIM-3 immune checkpoint pathway in IDH-mutant astrocytic gliomas.
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Affiliation(s)
- Mia D Sørensen
- Department of Pathology, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Ole Nielsen
- Department of Pathology, Odense University Hospital, Odense, Denmark
| | - Guido Reifenberger
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,Institute of Neuropathology, Heinrich Heine University, Düsseldorf, Germany.,German Cancer Consortium (DKT), partner site Essen/Düsseldorf, Essen, Germany
| | - Bjarne W Kristensen
- Department of Pathology, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,Department of Pathology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Department of Clinical Medicine and Biotech Research and Innovation Center (BRIC), University of Copenhagen, Copenhagen, Denmark
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11
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Khalaf NB, Al-Μehatab D, Fathallah DM. Vascular endothelial ERp72 is involved in the inflammatory response in a rat model of skeletal muscle injury. Mol Med Rep 2021; 23:186. [PMID: 33398381 PMCID: PMC7809907 DOI: 10.3892/mmr.2021.11825] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Accepted: 11/25/2020] [Indexed: 11/05/2022] Open
Abstract
The vascular inflammatory response involves the coordinated action of a large network of molecular mediators and culminates in the transmigration of leukocytes into the site of inflammation. Inflammatory mediators include a variety of protein families, including adhesion molecules such as integrins and members of the immunoglobulin superfamily, as well as other cytokines and chemokines. In this study, a rat model of traumatic skeletal muscle injury was used to demonstrate endoplasmic reticulum resident protein 72 (ERp72) overexpression in the early phase of the inflammatory response that follows skeletal muscle injury. Reverse transcription‑quantitative PCR, western blotting, dual‑labeling immunohistochemistry and immunofluorescence experiments confirmed that ERp72 was expressed on the endothelial cells of blood vessels present at the injured area. In addition, a cell‑based neutrophil adhesion assay indicated that a polyclonal antibody specific for ERp72 significantly reduced adhesion of neutrophils to activated human umbilical vein endothelial cells (35% reduction). These data suggested that ERp72 expression on vascular endothelial cells may play a role in skeletal muscle inflammation and could be considered as a target for the modulation of leukocyte‑endothelial cell interactions in an inflammatory setting.
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Affiliation(s)
- Noureddine Ben Khalaf
- Department of Life Sciences, Health Biotechnology Program, College of Graduate Studies, King Fahd Chair for Health Biotechnology, Arabian Gulf University, Manama 329, Bahrain
| | - Dalal Al-Μehatab
- Department of Life Sciences, Health Biotechnology Program, College of Graduate Studies, King Fahd Chair for Health Biotechnology, Arabian Gulf University, Manama 329, Bahrain
| | - Dahmani M Fathallah
- Department of Life Sciences, Health Biotechnology Program, College of Graduate Studies, King Fahd Chair for Health Biotechnology, Arabian Gulf University, Manama 329, Bahrain
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12
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Hu-Lieskovan S, Bhaumik S, Dhodapkar K, Grivel JCJB, Gupta S, Hanks BA, Janetzki S, Kleen TO, Koguchi Y, Lund AW, Maccalli C, Mahnke YD, Novosiadly RD, Selvan SR, Sims T, Zhao Y, Maecker HT. SITC cancer immunotherapy resource document: a compass in the land of biomarker discovery. J Immunother Cancer 2020; 8:e000705. [PMID: 33268350 PMCID: PMC7713206 DOI: 10.1136/jitc-2020-000705] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/15/2020] [Indexed: 02/07/2023] Open
Abstract
Since the publication of the Society for Immunotherapy of Cancer's (SITC) original cancer immunotherapy biomarkers resource document, there have been remarkable breakthroughs in cancer immunotherapy, in particular the development and approval of immune checkpoint inhibitors, engineered cellular therapies, and tumor vaccines to unleash antitumor immune activity. The most notable feature of these breakthroughs is the achievement of durable clinical responses in some patients, enabling long-term survival. These durable responses have been noted in tumor types that were not previously considered immunotherapy-sensitive, suggesting that all patients with cancer may have the potential to benefit from immunotherapy. However, a persistent challenge in the field is the fact that only a minority of patients respond to immunotherapy, especially those therapies that rely on endogenous immune activation such as checkpoint inhibitors and vaccination due to the complex and heterogeneous immune escape mechanisms which can develop in each patient. Therefore, the development of robust biomarkers for each immunotherapy strategy, enabling rational patient selection and the design of precise combination therapies, is key for the continued success and improvement of immunotherapy. In this document, we summarize and update established biomarkers, guidelines, and regulatory considerations for clinical immune biomarker development, discuss well-known and novel technologies for biomarker discovery and validation, and provide tools and resources that can be used by the biomarker research community to facilitate the continued development of immuno-oncology and aid in the goal of durable responses in all patients.
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Affiliation(s)
- Siwen Hu-Lieskovan
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- University of Utah School of Medicine, Salt Lake City, UT, USA
| | | | - Kavita Dhodapkar
- Department of Pediatrics, Emory University, Atlanta, Georgia, USA
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, Georgia, USA
| | | | - Sumati Gupta
- Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Brent A Hanks
- Duke University Medical Center, Durham, North Carolina, USA
| | | | | | - Yoshinobu Koguchi
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, Oregon, USA
| | - Amanda W Lund
- Oregon Health and Science University, Portland, Oregon, USA
| | | | | | | | | | - Tasha Sims
- Regeneron Pharmaceuticals Inc, Tarrytown, New York, USA
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13
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Chenlo M, Aliyev E, Rodrigues JS, Vieiro-Balo P, Blanco Freire MN, Cameselle-Teijeiro JM, Alvarez CV. Sequential Colocalization of ERa, PR, and AR Hormone Receptors Using Confocal Microscopy Enables New Insights into Normal Breast and Prostate Tissue and Cancers. Cancers (Basel) 2020; 12:cancers12123591. [PMID: 33266334 PMCID: PMC7761237 DOI: 10.3390/cancers12123591] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 11/24/2020] [Accepted: 11/29/2020] [Indexed: 12/19/2022] Open
Abstract
Simple Summary At present, platforms for multiplex immunohistochemistry (e.g., Opal) identify markers in distinct cell populations within a tissue section using multispectral fluorescence and optic microscopy. However, the optic resolution is not enough to colocalize markers at the subcellular level in the main epithelial or cancer population. We use confocal microscopy in multiplex detection of nuclear hormone receptors since they are an important part of the diagnosis and treatment of breast and prostate cancer. Moreover, we increased the quantitative dynamic range and resolution through increasing the signal/noise ration through reducing autofluorescence and increased longer antibody incubations. ColNu mIHCF identified distinct patterns of nuclear receptor colocalization in breast cancers. Furthermore, in prostate cancer all cancer epithelium was positive for ERa at the plasma membrane; and in normal prostate a small ERa+/p63+/AR− basal population suggest stem cell commitment to differentiation. ColNu mIHCF could be used for improving diagnosis and treatment in cancer. Abstract Multiplex immunohistochemistry (mIHC) use markers staining different cell populations applying widefield optical microscopy. Resolution is low not resolving subcellular co-localization. We sought to colocalize markers at subcellular level with antibodies validated for clinical diagnosis, including the single secondary antibody (combination of anti-rabbit/mouse-antibodies) used for diagnostic IHC with any primary antibody, and confocal microscopy. We explore colocalization in the nucleus (ColNu) of nuclear hormone receptors (ERa, PR, and AR) along with the baseline marker p63 in paired samples of breast and prostate tissues. We established ColNu mIHCF as a reliable technique easily implemented in a hospital setting. In ERa+ breast cancer, we identified different colocalization patterns (nuclear or cytoplasmatic) with PR and AR on the luminal epithelium. A triple-negative breast-cancer case expressed membrane-only ERa. A PR-only case was double positive PR/p63. In normal prostate, we identified an ERa+/p63+/AR-negative distinct population. All prostate cancer cases characteristically expressed ERa on the apical membrane of the AR+ epithelium. We confirmed this using ERa IHC and needle-core biopsies. ColNu mIHCF is feasible and already revealed a new marker for prostate cancer and identified sub-patterns in breast cancer. It could be useful for pathology as well as for functional studies in normal prostate and breast tissues.
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Affiliation(s)
- Miguel Chenlo
- Neoplasia & Endocrine Differentiation P0L5, Centro de Investigación en Medicina Moleculary Enfermedades Crónicas (CIMUS), Instituto de Investigación Sanitaria (IDIS), University of Santiago de Compostela (USC), 15782 Santiago de Compostela, Spain; (M.C.); (J.S.R.)
| | - Elvin Aliyev
- Department of Pathology, Complejo Hospitalario Universitario de Santiago de Compostela (CHUS), Galician Healthcare Service (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), University of Santiago de Compostela (USC), 15706 Santiago de Compostela, Spain; (E.A.); (P.V.-B.)
| | - Joana S. Rodrigues
- Neoplasia & Endocrine Differentiation P0L5, Centro de Investigación en Medicina Moleculary Enfermedades Crónicas (CIMUS), Instituto de Investigación Sanitaria (IDIS), University of Santiago de Compostela (USC), 15782 Santiago de Compostela, Spain; (M.C.); (J.S.R.)
| | - Paula Vieiro-Balo
- Department of Pathology, Complejo Hospitalario Universitario de Santiago de Compostela (CHUS), Galician Healthcare Service (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), University of Santiago de Compostela (USC), 15706 Santiago de Compostela, Spain; (E.A.); (P.V.-B.)
| | - Manuel N. Blanco Freire
- Department of Surgery, Complejo Hospitalario Universitario de Santiago de Compostela (CHUS), Galician Healthcare Service (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), University of Santiago de Compostela (USC), 15706 Santiago de Compostela, Spain;
| | - José Manuel Cameselle-Teijeiro
- Department of Pathology, Complejo Hospitalario Universitario de Santiago de Compostela (CHUS), Galician Healthcare Service (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), University of Santiago de Compostela (USC), 15706 Santiago de Compostela, Spain; (E.A.); (P.V.-B.)
- Correspondence: (J.M.C.-T.); (C.V.A.)
| | - Clara V. Alvarez
- Neoplasia & Endocrine Differentiation P0L5, Centro de Investigación en Medicina Moleculary Enfermedades Crónicas (CIMUS), Instituto de Investigación Sanitaria (IDIS), University of Santiago de Compostela (USC), 15782 Santiago de Compostela, Spain; (M.C.); (J.S.R.)
- Correspondence: (J.M.C.-T.); (C.V.A.)
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14
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Hofman P. New insights into the interaction of the immune system with non-small cell lung carcinomas. Transl Lung Cancer Res 2020; 9:2199-2213. [PMID: 33209644 PMCID: PMC7653157 DOI: 10.21037/tlcr-20-178] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The basis of current and future lung cancer immunotherapy depends mainly on our knowledge of the molecular mechanisms of interactions between cancer and immune cells (ICs), as well as on interactions occurring between the different populations of intra-tumor ICs. These interactions are very complex, as virtually all immune cell types, including macrophages, neutrophils, mast cells, natural killer (NK) cells, dendritic cells and T and B lymphocytes can infiltrate lung cancer tissues at the same time. Moreover these interactions lead to progressive emergence of an imbalance in ICs. Initially ICs have an anti-tumor effect but then induce immune tolerance and eventually tumor progression and dissemination. All the cells of innate and adaptive intra-tumor immunity engage in this progressive phenotypic switch. A majority of non-small cell lung carcinoma (NSCLC) patients do not benefit from the expected positive responses associated with current immunotherapy. Thus, there is urgent need to better understand the different roles of the associated cancer ICs. This review summarizes some of the new insights into this domain, with particular focus on: the myeloid cell population associated with tumors, the tertiary lymphoid structures (TLSs), the role of the P2 purinergic receptors (P2R) and ATP, and the new concept of the “liquid microenvironment” implying blood circulating ICs.
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Affiliation(s)
- Paul Hofman
- CHU Nice, FHU OncoAge, Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d'Azur, Nice, France.,CNRS, INSERM, IRCAN, FHU OncoAge, Team 4, Hospital-Integrated Biobank, Université Côte d'Azur, Nice, France.,CHU Nice, FHU OncoAge, Hospital-Integrated Biobank, Université Côte d'Azur, Nice, France
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15
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Ehrenberg AJ, Morales DO, Piergies AMH, Li SH, Tejedor JS, Mladinov M, Mulder J, Grinberg LT. A manual multiplex immunofluorescence method for investigating neurodegenerative diseases. J Neurosci Methods 2020; 339:108708. [PMID: 32243897 PMCID: PMC7269157 DOI: 10.1016/j.jneumeth.2020.108708] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 03/19/2020] [Accepted: 03/27/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Neurodegenerative diseases feature stereotypical deposits of protein aggregates that selectively accumulate in vulnerable cells. The ability to simultaneously localize multiple targets in situ is critical to facilitate discovery and validation of pathogenic molecular pathways. Immunostaining methods enable in situ detection of specific targets. Effective stripping of antibodies, allowing successive rounds of staining while maintaining tissue adhesion and antigen integrity, is the main roadblock for enabling multiplex immunostaining in standard labs. Furthermore, stripping techniques require antibody-specific optimization, validation, and quality control steps. NEW METHOD Aiming to create protocols for multiplex localization of neurodegenerative-related processes, without the need for specialized equipment, we evaluated several antibody stripping techniques. We also recommend quality control steps to validate stripping efficacy and ameliorate concerns of cross-reactivity and false positives based on extensive testing. RESULTS A protocol using β-mercaptoethanol and SDS consistently enables reliable antibody stripping across multiple rounds of staining and minimizes the odds of cross-reactivity while preserving tissue adhesion and antigen integrity in human postmortem tissue. COMPARISON WITH EXISTING METHODS Our proposed method is optimal for standard lab settings and shows consistent efficacy despite the intricacies of suboptimal human postmortem tissue and the need to strip markers bound to highly aggregated proteins. Additionally, it incorporates quality control steps to validate antibody stripping. CONCLUSIONS Multiplex immunofluorescence methods for studying neurodegenerative diseases in human postmortem tissue are feasible even in standard laboratories. Nevertheless, evaluation of stripping parameters during optimization and validation phases of experiments is prudent.
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Affiliation(s)
- Alexander J Ehrenberg
- University of California, San Francisco, Memory and Aging Center, Weill Institute for Neurosciences; San Francisco, CA, USA; University of California, Berkeley, Helen Wills Neuroscience Institute; Berkeley, CA, USA; University of California, Berkeley, Dept. of Integrative Biology; Berkeley, CA, USA
| | - Dulce Ovando Morales
- University of California, San Francisco, Memory and Aging Center, Weill Institute for Neurosciences; San Francisco, CA, USA
| | - Antonia M H Piergies
- University of California, San Francisco, Memory and Aging Center, Weill Institute for Neurosciences; San Francisco, CA, USA
| | - Song Hua Li
- University of California, San Francisco, Memory and Aging Center, Weill Institute for Neurosciences; San Francisco, CA, USA
| | - Jorge Santos Tejedor
- University of California, San Francisco, Memory and Aging Center, Weill Institute for Neurosciences; San Francisco, CA, USA; Karolinska Instituet, Department of Neuroscience, Stockholm, Sweden
| | - Mihovil Mladinov
- University of California, San Francisco, Memory and Aging Center, Weill Institute for Neurosciences; San Francisco, CA, USA
| | - Jan Mulder
- Karolinska Instituet, Department of Neuroscience, Stockholm, Sweden
| | - Lea T Grinberg
- University of California, San Francisco, Memory and Aging Center, Weill Institute for Neurosciences; San Francisco, CA, USA; University of São Paulo School of Medicine, São Paulo, Brazil; University of California, San Francisco, Global Brain Health Institute; San Francisco, CA, USA.
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16
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Tan WCC, Nerurkar SN, Cai HY, Ng HHM, Wu D, Wee YTF, Lim JCT, Yeong J, Lim TKH. Overview of multiplex immunohistochemistry/immunofluorescence techniques in the era of cancer immunotherapy. Cancer Commun (Lond) 2020; 40:135-153. [PMID: 32301585 PMCID: PMC7170662 DOI: 10.1002/cac2.12023] [Citation(s) in RCA: 284] [Impact Index Per Article: 71.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 03/20/2020] [Indexed: 12/17/2022] Open
Abstract
Conventional immunohistochemistry (IHC) is a widely used diagnostic technique in tissue pathology. However, this technique is associated with a number of limitations, including high inter-observer variability and the capacity to label only one marker per tissue section. This review details various highly multiplexed techniques that have emerged to circumvent these constraints, allowing simultaneous detection of multiple markers on a single tissue section and the comprehensive study of cell composition, cellular functional and cell-cell interactions. Among these techniques, multiplex Immunohistochemistry/Immunofluorescence (mIHC/IF) has emerged to be particularly promising. mIHC/IF provides high-throughput multiplex staining and standardized quantitative analysis for highly reproducible, efficient and cost-effective tissue studies. This technique has immediate potential for translational research and clinical practice, particularly in the era of cancer immunotherapy.
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Affiliation(s)
- Wei Chang Colin Tan
- Yong Loo Lin School of MedicineNational University of SingaporeSingapore169856Singapore
| | | | - Hai Yun Cai
- Yong Loo Lin School of MedicineNational University of SingaporeSingapore169856Singapore
| | - Harry Ho Man Ng
- Department of Anatomical PathologySingapore General HospitalSingapore169856Singapore
- Duke‐NUS Medical SchoolSingapore169856Singapore
| | - Duoduo Wu
- Yong Loo Lin School of MedicineNational University of SingaporeSingapore169856Singapore
| | - Yu Ting Felicia Wee
- Department of Anatomical PathologySingapore General HospitalSingapore169856Singapore
| | - Jeffrey Chun Tatt Lim
- Institute of Molecular Cell Biology (IMCB), Agency of Science, Technology and Research (A*STAR)Singapore169856Singapore
| | - Joe Yeong
- Department of Anatomical PathologySingapore General HospitalSingapore169856Singapore
- Institute of Molecular Cell Biology (IMCB), Agency of Science, Technology and Research (A*STAR)Singapore169856Singapore
- Singapore Immunology NetworkAgency of Science (SIgN)Technology and Research (A*STAR)Singapore169856Singapore
| | - Tony Kiat Hon Lim
- Department of Anatomical PathologySingapore General HospitalSingapore169856Singapore
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17
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Roberts EA, Morrison LE, Behman LJ, Draganova-Tacheva R, O'Neill R, Solomides CC. Chromogenic immunohistochemical quadruplex provides accurate diagnostic differentiation of non-small cell lung cancer. Ann Diagn Pathol 2019; 45:151454. [PMID: 31923744 DOI: 10.1016/j.anndiagpath.2019.151454] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 11/01/2019] [Indexed: 12/21/2022]
Abstract
Lung cancer is the most common cancer worldwide and has the highest mortality rate. Carcinomas comprise 95% of all lung malignancies, the vast majority of which are non-small cell lung carcinomas (NSCLC). Increasingly, the diagnosis of lung cancer is established by examination of small tissue specimens obtained by minimally invasive techniques. It is critical to employ these tissues at maximum efficiency in order to render an accurate pathologic diagnosis and to perform theranostic studies, either genomic or by immunohistochemistry, to demonstrate genetic mutations that make patients eligible for molecularly targeted agents. Currently Thyroid Transcription Factor-1 (TTF-1) and Napsin A are the most commonly used immunohistochemical (IHC) stains to identify primary lung adenocarcinoma, and p40 and cytokeratin 5/6 (CK5/6) are used for squamous cell carcinoma. IHC stains for these markers, are performed either individually (IHC brown staining) or in combination as dual immunostains (i.e. TTF-1 + Napsin A and p40 + CK5/6, utilizing brown and red chromogens). Here we present a novel, truly multiplex immunohistochemical approach that combines staining with the above four antibodies on a single tissue section utilizing four different chromogens to accurately diagnose primary lung adenocarcinomas, squamous cell carcinomas, and combined adenosquamous carcinomas of the lung. Each marker is represented by a distinct color that can be read by a pathologist, using standard, bright field microscopy. We evaluated the ability of pathologists to differentiate NSCLCs using the multiplexed assay as compared to standard, single marker per slide diaminobenzidine (DAB)-based IHC. All cases in a cohort of 264 NSCLCs showed concordance of information (including positivity of stain, intensity of stain and coverage) between single IHC stains and the multiplex assay. This new multiplex IHC offers the capability to accurately diagnose and sub-classify primary lung NSCLCs, while conserving precious tissue for additional testing.
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Affiliation(s)
- Esteban A Roberts
- Ventana Medical Systems, Inc., 1910 Innovation Park Drive, Tucson, AZ 85755, United States of America.
| | - Larry E Morrison
- Ventana Medical Systems, Inc., 1910 Innovation Park Drive, Tucson, AZ 85755, United States of America.
| | - Lauren J Behman
- Ventana Medical Systems, Inc., 1910 Innovation Park Drive, Tucson, AZ 85755, United States of America.
| | - Rossitza Draganova-Tacheva
- Penn Medicine at Chester County Hospital, Department of Pathology and Laboratory Medicine, 701 East Marshall Street, West Chester, PA 19380, United States of America.
| | - Raymond O'Neill
- Thomas Jefferson University Hospital, Department of Pathology, Philadelphia, PA, United States of America.
| | - Charalambos C Solomides
- Thomas Jefferson University Hospital, Department of Pathology, Philadelphia, PA, United States of America.
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18
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Jackson TC, Janesko-Feldman K, Carlson SW, Kotermanski SE, Kochanek PM. Robust RBM3 and β-klotho expression in developing neurons in the human brain. J Cereb Blood Flow Metab 2019; 39:2355-2367. [PMID: 31566073 PMCID: PMC6890998 DOI: 10.1177/0271678x19878889] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
RNA binding motif 3 (RBM3) is a powerful neuroprotectant that inhibits neurodegenerative cell death in vivo and is a promising therapeutic target in brain ischemia. RBM3 is increased by the hormone fibroblast growth factor 21 (FGF21) in an age- and temperature-dependent manner in rat cortical neurons. FGF21 receptor binding is controlled by the transmembrane protein β-klotho, which is mostly absent in the adult brain. We discovered that RBM3/β-klotho is unexpectedly high in the human infant vs. adult brain (hippocampus/prefrontal cortex). The use of tissue homogenates in that study precluded a comparison of RBM3/β-klotho expression among different CNS cell-types, thus, omitted key evidence (i.e. confirmation of neuronal expression) that would otherwise provide a critical link to support their possible direct neuroprotective effects in humans. This report addresses that knowledge gap. High-quality fixed human hippocampus, cortex, and hypothalamic tissues were acquired from the NIH Neurobiobank (<1 yr (premature born) infants, 1 yr, 4 yr, and 34 yr). Dual labeling of cell-type markers vs. RBM3/β-klotho revealed enriched staining of targets in neurons in the developing brain. Identifying that RBM3/β-klotho is abundant in neurons in the immature brain is fundamentally important to guide protocol design and conceptual frameworks germane to future testing of these neuroprotective pathways in humans.
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Affiliation(s)
- Travis C Jackson
- Department of Molecular Pharmacology & Physiology, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Keri Janesko-Feldman
- Safar Center for Resuscitation Research, School of Medicine Children's Hospital of Pittsburgh of UPMC John G. Rangos Research Center, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Shaun W Carlson
- Department of Neurological Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Shawn E Kotermanski
- Department of Pharmacology and Chemical Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Patrick M Kochanek
- Safar Center for Resuscitation Research, School of Medicine Children's Hospital of Pittsburgh of UPMC John G. Rangos Research Center, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
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19
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Scognamiglio G, Capone M, Mallardo D, Botti G, Ascierto PA, Madonna G. Multiplex immunohistochemistry assay to evaluate the melanoma tumor microenvironment. Methods Enzymol 2019; 635:21-31. [PMID: 32122547 DOI: 10.1016/bs.mie.2019.07.045] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The tumor microenvironment (TME) is composed of a set of cellular compartments comprising vascular, neuroendocrine, stromal, epithelial and immune cells. These compartments constitute a heterogeneous and dynamic set, where intercellular communication is driven by a complex network of cytokines, chemokines, growth factors, and inflammatory and matrix remodeling enzymes. Based on this complexity, an increasing number of assays may be required to identify and locate specific proteins in the tissue section and the standard procedure is to perform one stain at a time on serial sections. Recently, interest in performing multiple assays on formalin-fixed, paraffin embedded (FFPE) specimens has gained ground, and is referred to as multiplexing, i.e., multiple staining of the same section at the same time. Multiple staining is a promising approach that may help to improve understanding of the interactions between the different cellular components of the TME, stratify cancer patients, and help clinicians in their patient management. In this chapter, we detail a simple methodological approach to perform multiple staining on the same section using tissue obtained from patients with melanoma. This procedure evaluates the presence and location of three different proteins, human leukocyte antigen (HLA), forkhead box protein 3 (FoxP3) and Granzyme B (GRZB).
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Affiliation(s)
| | - Mariaelena Capone
- Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy
| | - Domenico Mallardo
- Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy
| | - Gerardo Botti
- Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy
| | - Paolo A Ascierto
- Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy.
| | - Gabriele Madonna
- Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy
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20
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Hofman P, Badoual C, Henderson F, Berland L, Hamila M, Long-Mira E, Lassalle S, Roussel H, Hofman V, Tartour E, Ilié M. Multiplexed Immunohistochemistry for Molecular and Immune Profiling in Lung Cancer-Just About Ready for Prime-Time? Cancers (Basel) 2019; 11:cancers11030283. [PMID: 30818873 PMCID: PMC6468415 DOI: 10.3390/cancers11030283] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 02/23/2019] [Accepted: 02/25/2019] [Indexed: 12/31/2022] Open
Abstract
As targeted molecular therapies and immuno-oncology have become pivotal in the management of patients with lung cancer, the essential requirement for high throughput analyses and clinical validation of biomarkers has become even more intense, with response rates maintained in the 20%–30% range. Moreover, the list of treatment alternatives, including combination therapies, is rapidly evolving. The molecular profiling and specific tumor-associated immune contexture may be predictive of response or resistance to these therapeutic strategies. Multiplexed immunohistochemistry is an effective and proficient approach to simultaneously identify specific proteins or molecular abnormalities, to determine the spatial distribution and activation state of immune cells, as well as the presence of immunoactive molecular expression. This method is highly advantageous for investigating immune evasion mechanisms and discovering potential biomarkers to assess mechanisms of action and to predict response to a given treatment. This review provides views on the current technological status and evidence for clinical applications of multiplexing and how it could be applied to optimize clinical management of patients with lung cancer.
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Affiliation(s)
- Paul Hofman
- Laboratory of Clinical and Experimental Pathology, Hospital-Integrated Biobank (BB-0033-00025), Nice Hospital University, FHU OncoAge, Université Côte d'Azur, Nice 06000, France.
- Team 4, Institute for Research on Cancer and Aging, Nice (IRCAN), INSERM U1081/UMR CNRS 7284, FHU OncoAge, Université Côte d'Azur, Nice 06107, France.
| | - Cécile Badoual
- Department of Pathology, Hôpital Européen Georges Pompidou, APHP, Paris 75015, France.
- INSERM U970, Université Paris Descartes Sorbonne Paris-Cité, Paris 75015, France.
| | - Fiona Henderson
- Department EMEA, Indica Labs, 2469 Corrales Rd Bldg. A-3 Corrales, NM 87048, USA.
| | - Léa Berland
- Laboratory of Clinical and Experimental Pathology, Hospital-Integrated Biobank (BB-0033-00025), Nice Hospital University, FHU OncoAge, Université Côte d'Azur, Nice 06000, France.
| | - Marame Hamila
- Laboratory of Clinical and Experimental Pathology, Hospital-Integrated Biobank (BB-0033-00025), Nice Hospital University, FHU OncoAge, Université Côte d'Azur, Nice 06000, France.
| | - Elodie Long-Mira
- Laboratory of Clinical and Experimental Pathology, Hospital-Integrated Biobank (BB-0033-00025), Nice Hospital University, FHU OncoAge, Université Côte d'Azur, Nice 06000, France.
- Team 4, Institute for Research on Cancer and Aging, Nice (IRCAN), INSERM U1081/UMR CNRS 7284, FHU OncoAge, Université Côte d'Azur, Nice 06107, France.
| | - Sandra Lassalle
- Laboratory of Clinical and Experimental Pathology, Hospital-Integrated Biobank (BB-0033-00025), Nice Hospital University, FHU OncoAge, Université Côte d'Azur, Nice 06000, France.
- Team 4, Institute for Research on Cancer and Aging, Nice (IRCAN), INSERM U1081/UMR CNRS 7284, FHU OncoAge, Université Côte d'Azur, Nice 06107, France.
| | - Hélène Roussel
- Department of Pathology, Hôpital Européen Georges Pompidou, APHP, Paris 75015, France.
- INSERM U970, Université Paris Descartes Sorbonne Paris-Cité, Paris 75015, France.
| | - Véronique Hofman
- Laboratory of Clinical and Experimental Pathology, Hospital-Integrated Biobank (BB-0033-00025), Nice Hospital University, FHU OncoAge, Université Côte d'Azur, Nice 06000, France.
- Team 4, Institute for Research on Cancer and Aging, Nice (IRCAN), INSERM U1081/UMR CNRS 7284, FHU OncoAge, Université Côte d'Azur, Nice 06107, France.
| | - Eric Tartour
- INSERM U970, Université Paris Descartes Sorbonne Paris-Cité, Paris 75015, France.
- Department of Immunology, Hôpital Européen Georges Pompidou, Paris 75015, France.
| | - Marius Ilié
- Laboratory of Clinical and Experimental Pathology, Hospital-Integrated Biobank (BB-0033-00025), Nice Hospital University, FHU OncoAge, Université Côte d'Azur, Nice 06000, France.
- Team 4, Institute for Research on Cancer and Aging, Nice (IRCAN), INSERM U1081/UMR CNRS 7284, FHU OncoAge, Université Côte d'Azur, Nice 06107, France.
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21
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Hofman P, Ayache N, Barbry P, Barlaud M, Bel A, Blancou P, Checler F, Chevillard S, Cristofari G, Demory M, Esnault V, Falandry C, Gilson E, Guérin O, Glaichenhaus N, Guigay J, Ilié M, Mari B, Marquette CH, Paquis-Flucklinger V, Prate F, Saintigny P, Seitz-Polsky B, Skhiri T, Van Obberghen-Schilling E, Van Obberghen E, Yvan-Charvet L. The OncoAge Consortium: Linking Aging and Oncology from Bench to Bedside and Back Again. Cancers (Basel) 2019; 11:E250. [PMID: 30795607 PMCID: PMC6406685 DOI: 10.3390/cancers11020250] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 02/17/2019] [Accepted: 02/19/2019] [Indexed: 01/04/2023] Open
Abstract
It is generally accepted that carcinogenesis and aging are two biological processes, which are known to be associated. Notably, the frequency of certain cancers (including lung cancer), increases significantly with the age of patients and there is now a wealth of data showing that multiple mechanisms leading to malignant transformation and to aging are interconnected, defining the so-called common biology of aging and cancer. OncoAge, a consortium launched in 2015, brings together the multidisciplinary expertise of leading public hospital services and academic laboratories to foster the transfer of scientific knowledge rapidly acquired in the fields of cancer biology and aging into innovative medical practice and silver economy development. This is achieved through the development of shared technical platforms (for research on genome stability, (epi)genetics, biobanking, immunology, metabolism, and artificial intelligence), clinical research projects, clinical trials, and education. OncoAge focuses mainly on two pilot pathologies, which benefit from the expertise of several members, namely lung and head and neck cancers. This review outlines the broad strategic directions and key advances of OncoAge and summarizes some of the issues faced by this consortium, as well as the short- and long-term perspectives.
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Affiliation(s)
- Paul Hofman
- Laboratory of Clinical and Experimental Pathology/Biobank 0033-00025, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06001 Nice, France.
- Inserm U1081, CNRS UMR7284, Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), FHU OncoAge, Université Côte d'Azur, 06107 Nice, France.
| | - Nicholas Ayache
- Epione Team, Inria, FHU OncoAge, Université Côte d'Azur, 06902 Sophia Antipolis, France.
| | - Pascal Barbry
- CNRS UMR7275, Institut de Pharmacologie Cellulaire et Moléculaire, FHU OncoAge, Université Côte d'Azur, 06560 Valbonne, France.
| | - Michel Barlaud
- i3S Sophia Antipolis, FHU OncoAge, Université Côte d'Azur, 06560 Sophia Antipolis, France.
| | - Audrey Bel
- Centre d'Innovation et d'Usages en Santé (CIUS), FHU OncoAge, Université Côte d'Azur, 06000 Nice, France.
| | - Philippe Blancou
- CNRS UMR7275, Institut de Pharmacologie Cellulaire et Moléculaire, FHU OncoAge, Université Côte d'Azur, 06560 Valbonne, France.
| | - Frédéric Checler
- CNRS UMR7275, Institut de Pharmacologie Cellulaire et Moléculaire, FHU OncoAge, Université Côte d'Azur, 06560 Valbonne, France.
| | - Sylvie Chevillard
- Laboratoire de Cancérologie Expérimentale, Institut François Jacob, CEA Direction de la Recherche Fondamentale, FHU OncoAge, Université Côte d'Azur, 92265 Fontenay-aux-Roses, France.
| | - Gael Cristofari
- Inserm U1081, CNRS UMR7284, Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), FHU OncoAge, Université Côte d'Azur, 06107 Nice, France.
| | - Mathilde Demory
- Ville de Nice, Mairie de Nice, FHU OncoAge, Université Côte d'Azur, 06364 Nice, France.
| | - Vincent Esnault
- Nephrology Department, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06001 Nice, France.
| | - Claire Falandry
- Geriatric Unit, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, FHU OncoAge, Université Claude Bernard Lyon 1, 69310 Pierre-Benite, France.
- Laboratoire CarMeN, Inserm U1060, INRA U139, INSA Lyon, Ecole de Médecine Charles Mérieux, Université Claude Bernard Lyon 1, 69921 Oullins, France.
| | - Eric Gilson
- Inserm U1081, CNRS UMR7284, Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), FHU OncoAge, Université Côte d'Azur, 06107 Nice, France.
| | - Olivier Guérin
- Geriatric Coordination Unit for Geriatric Oncology (UCOG) PACA Est, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06000 Nice, France.
| | - Nicolas Glaichenhaus
- CNRS UMR7275, Institut de Pharmacologie Cellulaire et Moléculaire, FHU OncoAge, Université Côte d'Azur, 06560 Valbonne, France.
| | - Joel Guigay
- Oncology Department, Centre Antoine Lacassagne, FHU OncoAge, Université Côté d'Azur, 06189 Nice, France.
| | - Marius Ilié
- Laboratory of Clinical and Experimental Pathology/Biobank 0033-00025, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06001 Nice, France.
- Inserm U1081, CNRS UMR7284, Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), FHU OncoAge, Université Côte d'Azur, 06107 Nice, France.
| | - Bernard Mari
- CNRS UMR7275, Institut de Pharmacologie Cellulaire et Moléculaire, FHU OncoAge, Université Côte d'Azur, 06560 Valbonne, France.
| | - Charles-Hugo Marquette
- Department of Pulmonary Medicine and Oncology, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06000 Nice, France.
| | - Véronique Paquis-Flucklinger
- Inserm U1081, CNRS UMR7284, Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), FHU OncoAge, Université Côte d'Azur, 06107 Nice, France.
| | - Frédéric Prate
- Geriatric Coordination Unit for Geriatric Oncology (UCOG) PACA Est, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06000 Nice, France.
| | - Pierre Saintigny
- Département de Médecine, INSERM 1052, CNRS 5286, Centre de recherche en cancérologie de Lyon, Centre Léon Bérard, FHU OncoAge, Université Claude Bernard Lyon 1, 69008 Lyon, France.
| | - Barbara Seitz-Polsky
- CNRS UMR7275, Institut de Pharmacologie Cellulaire et Moléculaire, FHU OncoAge, Université Côte d'Azur, 06560 Valbonne, France.
- Laboratory of Immunology, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06200 Nice, France.
| | - Taycir Skhiri
- Centre d'Innovation et d'Usages en Santé (CIUS), FHU OncoAge, Université Côte d'Azur, 06000 Nice, France.
| | | | | | - Laurent Yvan-Charvet
- Inserm U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), FHU OncoAge, Université Côte d'Azur, 06200 Nice, France.
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22
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Heeke S, Delingette H, Fanjat Y, Long-Mira E, Lassalle S, Hofman V, Benzaquen J, Marquette CH, Hofman P, Ilié M. [The age of artificial intelligence in lung cancer pathology: Between hope, gloom and perspectives]. Ann Pathol 2019; 39:130-136. [PMID: 30772062 DOI: 10.1016/j.annpat.2019.01.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2018] [Accepted: 01/16/2019] [Indexed: 12/14/2022]
Abstract
Histopathology is the fundamental tool of pathology used for more than a century to establish the final diagnosis of lung cancer. In addition, the phenotypic data contained in the histological images reflects the overall effect of molecular alterations on the behavior of cancer cells and provides a practical visual reading of the aggressiveness of the disease. However, the human evaluation of the histological images is sometimes subjective and may lack reproducibility. Therefore, computational analysis of histological imaging using so-called "artificial intelligence" (AI) approaches has recently received considerable attention to improve this diagnostic accuracy. Thus, computational analysis of lung cancer images has recently been evaluated for the optimization of histological or cytological classification, prognostic prediction or genomic profile of patients with lung cancer. This rapidly growing field constantly demonstrates great power in the field of computing medical imaging by producing highly accurate detection, segmentation or recognition tasks. However, there are still several challenges or issues to be addressed in order to successfully succeed the actual transfer into clinical routine. The objective of this review is to emphasize recent applications of AI in pulmonary cancer pathology, but also to clarify the advantages and limitations of this approach, as well as the perspectives to be implemented for a potential transfer into clinical routine.
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Affiliation(s)
- Simon Heeke
- Laboratoire de pathologie clinique et expérimentale/biobanque (BB 0033-00025), Fédération hospitalo-universitaire OncoAge, CHU de Nice, université Côte-d'Azur, 30, voie Romaine, 06000 Nice, France; Équipe 4, CNRS UMR7284, Inserm U1081, faculté de médecine, institut de recherche sur le cancer et le vieillissement de Nice (Ircan), 28, avenue de Valombrose, 06107 Nice, France
| | - Hervé Delingette
- Équipe Asclepios, Inria Sophia-Antipolis, université Côte-d'Azur, 2004, route des Lucioles, 06902 Sophia-Antipolis, France
| | - Youta Fanjat
- Laboratoire de pathologie clinique et expérimentale/biobanque (BB 0033-00025), Fédération hospitalo-universitaire OncoAge, CHU de Nice, université Côte-d'Azur, 30, voie Romaine, 06000 Nice, France
| | - Elodie Long-Mira
- Laboratoire de pathologie clinique et expérimentale/biobanque (BB 0033-00025), Fédération hospitalo-universitaire OncoAge, CHU de Nice, université Côte-d'Azur, 30, voie Romaine, 06000 Nice, France; Équipe 4, CNRS UMR7284, Inserm U1081, faculté de médecine, institut de recherche sur le cancer et le vieillissement de Nice (Ircan), 28, avenue de Valombrose, 06107 Nice, France
| | - Sandra Lassalle
- Laboratoire de pathologie clinique et expérimentale/biobanque (BB 0033-00025), Fédération hospitalo-universitaire OncoAge, CHU de Nice, université Côte-d'Azur, 30, voie Romaine, 06000 Nice, France; Équipe 4, CNRS UMR7284, Inserm U1081, faculté de médecine, institut de recherche sur le cancer et le vieillissement de Nice (Ircan), 28, avenue de Valombrose, 06107 Nice, France
| | - Véronique Hofman
- Laboratoire de pathologie clinique et expérimentale/biobanque (BB 0033-00025), Fédération hospitalo-universitaire OncoAge, CHU de Nice, université Côte-d'Azur, 30, voie Romaine, 06000 Nice, France; Équipe 4, CNRS UMR7284, Inserm U1081, faculté de médecine, institut de recherche sur le cancer et le vieillissement de Nice (Ircan), 28, avenue de Valombrose, 06107 Nice, France
| | - Jonathan Benzaquen
- Équipe 4, CNRS UMR7284, Inserm U1081, faculté de médecine, institut de recherche sur le cancer et le vieillissement de Nice (Ircan), 28, avenue de Valombrose, 06107 Nice, France; Service de pneumologie, Fédération hospitalo-universitaire OncoAge, CHU de Nice, université Côte-d'Azur, 30, voie Romaine, 06000 Nice, France
| | - Charles-Hugo Marquette
- Service de pneumologie, Fédération hospitalo-universitaire OncoAge, CHU de Nice, université Côte-d'Azur, 30, voie Romaine, 06000 Nice, France
| | - Paul Hofman
- Laboratoire de pathologie clinique et expérimentale/biobanque (BB 0033-00025), Fédération hospitalo-universitaire OncoAge, CHU de Nice, université Côte-d'Azur, 30, voie Romaine, 06000 Nice, France; Équipe 4, CNRS UMR7284, Inserm U1081, faculté de médecine, institut de recherche sur le cancer et le vieillissement de Nice (Ircan), 28, avenue de Valombrose, 06107 Nice, France
| | - Marius Ilié
- Laboratoire de pathologie clinique et expérimentale/biobanque (BB 0033-00025), Fédération hospitalo-universitaire OncoAge, CHU de Nice, université Côte-d'Azur, 30, voie Romaine, 06000 Nice, France; Équipe 4, CNRS UMR7284, Inserm U1081, faculté de médecine, institut de recherche sur le cancer et le vieillissement de Nice (Ircan), 28, avenue de Valombrose, 06107 Nice, France.
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Liu X, Huang Z, Qian W, Zhang Q, Sun J. Silence of lncRNA UCA1 rescues drug resistance of cisplatin to non-small-cell lung cancer cells. J Cell Biochem 2019; 120:9243-9249. [PMID: 30652341 DOI: 10.1002/jcb.28200] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 11/15/2018] [Indexed: 01/02/2023]
Abstract
The aim of this study was to investigate the effect of long noncoding RNA (lncRNA) urogenital carcinoma antigen 1 (UCA1) on drug resistance in A549/DDP cell and explore its underlying mechanism. The inhibition rate and IC 50 of DDP were detected in A549 and A549/DDP cells by 3-(4,5-dimethylthiazol-2-yl)-2,5 diphenyl tetrazolium bromide assay. The expression of lncRNA UCA1 was measured in A549 and A549/DDP cells by quantitative real-time polymerase chain reaction. The expressions of N-cadherin, E-cadherin, vimentin, and Snail were detected in A549 and A549/DDP cells by Western blot analysis. Results showed that the IC 50 of DDP was 16.20 ± 2.27 μmol/L and 69.72 ± 4.83 μmol/L in A549 and A549/ DDP cells, respectively. Compared with the A549 group, the expressions of N-cadherin, vimentin, and Snail was significantly upregulated in A549/DDP group, but E-cadherin was significantly downregulated. Compared with the shCon group, the abundance of N-cadherin, vimentin, and Snail was significantly downregulated in short hairpin RNA UCA1 (shUCA1) group, while E-cadherin was significantly upregulated. Cell migration and invasion were significantly suppressed and IC 50 was reversed to 16.20 ± 2.27 μmol/L in the shUCA1 group. Silencing lncRNA UCA1 inhibited the migration and invasion of A549/DDP cells and reversed the resistance of A549/DDP cells to DDP. The mechanism might be related to downregulation of epithelial-mesenchymal transition, which will provide a new direction for the treatment of non-small-cell lung cancer with cisplatin.
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Affiliation(s)
- Xiaojing Liu
- Department of Respiratory and Critical Care Medicine, The Fourth Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zhisheng Huang
- Department of Respiratory and Critical Care Medicine, The Fourth Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wei Qian
- Department of Respiratory and Critical Care Medicine, The Fourth Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qing Zhang
- Department of Respiratory and Critical Care Medicine, The Fourth Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jian Sun
- Department of Respiratory and Critical Care Medicine, The Fourth Affiliated Hospital of Nanchang University, Nanchang, China
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