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Liu H, Pan W, Tang C, Tang Y, Wu H, Yoshimura A, Deng Y, He N, Li S. The methods and advances of adaptive immune receptors repertoire sequencing. Theranostics 2021; 11:8945-8963. [PMID: 34522220 PMCID: PMC8419057 DOI: 10.7150/thno.61390] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 06/09/2021] [Indexed: 12/13/2022] Open
Abstract
The adaptive immune response is a powerful tool, capable of recognizing, binding to, and neutralizing a vast number of internal and external threats via T or B lymphatic receptors with widespread sets of antigen specificities. The emergence of high-throughput sequencing technology and bioinformatics provides opportunities for research in the fields of life sciences and medicine. The analysis and annotation for immune repertoire data can reveal biologically meaningful information, including immune prediction, target antigens, and effective evaluation. Continuous improvements of the immunological repertoire sequencing methods and analysis tools will help to minimize the experimental and calculation errors and realize the immunological information to meet the clinical requirements. That said, the clinical application of adaptive immune repertoire sequencing requires appropriate experimental methods and standard analytical tools. At the population cell level, we can acquire the overview of cell groups, but the information about a single cell is not obtained accurately. The information that is ignored may be crucial for understanding the heterogeneity of each cell, gene expression and drug response. The combination of high-throughput sequencing and single-cell technology allows us to obtain single-cell information with low-cost and high-throughput. In this review, we summarized the current methods and progress in this area.
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Affiliation(s)
- Hongmei Liu
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
| | - Wenjing Pan
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
| | - Congli Tang
- State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China
| | - Yujie Tang
- State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China
| | - Haijing Wu
- Department of Dermatology, Second Xiangya Hospital, Central South University, Hu-nan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China
| | - Akihiko Yoshimura
- Department of Microbiology and Immunology, Keio University School of Medicine, Tokyo, Japan
| | - Yan Deng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
| | - Nongyue He
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
- State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
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The Validity and Predictive Value of Blood-Based Biomarkers in Prediction of Response in the Treatment of Metastatic Non-Small Cell Lung Cancer: A Systematic Review. Cancers (Basel) 2020; 12:cancers12051120. [PMID: 32365836 PMCID: PMC7280996 DOI: 10.3390/cancers12051120] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 04/21/2020] [Accepted: 04/27/2020] [Indexed: 12/11/2022] Open
Abstract
With the introduction of targeted therapies and immunotherapy, molecular diagnostics gained a more profound role in the management of non-small cell lung cancer (NSCLC). This study aimed to systematically search for studies reporting on the use of liquid biopsies (LB), the correlation between LBs and tissue biopsies, and finally the predictive value in the management of NSCLC. A systematic literature search was performed, including results published after 1 January 2014. Articles studying the predictive value or validity of a LB were included. The search (up to 1 September 2019) retrieved 1704 articles, 1323 articles were excluded after title and abstract screening. Remaining articles were assessed for eligibility by full-text review. After full-text review, 64 articles investigating the predictive value and 78 articles describing the validity were included. The majority of studies investigated the predictive value of LBs in relation to therapies targeting the epidermal growth factor receptor (EGFR) or anaplastic lymphoma kinase (ALK) receptor (n = 38). Of studies describing the validity of a biomarker, 55 articles report on one or more EGFR mutations. Although a variety of blood-based biomarkers are currently under investigation, most studies evaluated the validity of LBs to determine EGFR mutation status and the subsequent targeting of EGFR tyrosine kinase inhibitors based on the mutation status found in LBs of NSCLC patients.
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Alborelli I, Leonards K, Rothschild SI, Leuenberger LP, Savic Prince S, Mertz KD, Poechtrager S, Buess M, Zippelius A, Läubli H, Haegele J, Tolnay M, Bubendorf L, Quagliata L, Jermann P. Tumor mutational burden assessed by targeted NGS predicts clinical benefit from immune checkpoint inhibitors in non-small cell lung cancer. J Pathol 2019; 250:19-29. [PMID: 31471895 PMCID: PMC6972587 DOI: 10.1002/path.5344] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 07/22/2019] [Accepted: 08/22/2019] [Indexed: 02/06/2023]
Abstract
In non‐small cell lung cancer (NSCLC), immune checkpoint inhibitors (ICIs) significantly improve overall survival (OS). Tumor mutational burden (TMB) has emerged as a predictive biomarker for patients treated with ICIs. Here, we evaluated the predictive power of TMB measured by the Oncomine™ Tumor Mutational Load targeted sequencing assay in 76 NSCLC patients treated with ICIs. TMB was assessed retrospectively in 76 NSCLC patients receiving ICI therapy. Clinical data (RECIST 1.1) were collected and patients were classified as having either durable clinical benefit (DCB) or no durable benefit (NDB). Additionally, genetic alterations and PD‐L1 expression were assessed and compared with TMB and response rate. TMB was significantly higher in patients with DCB than in patients with NDB (median TMB = 8.5 versus 6.0 mutations/Mb, Mann–Whitney p = 0.0244). 64% of patients with high TMB (cut‐off = third tertile, TMB ≥ 9) were responders (DCB) compared to 33% and 29% of patients with intermediate and low TMB, respectively (cut‐off = second and first tertile, TMB = 5–9 and TMB ≤ 4, respectively). TMB‐high patients showed significantly longer progression‐free survival (PFS) and OS (log‐rank test p = 0.0014 for PFS and 0.0197 for OS). While identifying different subgroups of patients, combining PD‐L1 expression and TMB increased the predictive power (from AUC 0.63 to AUC 0.65). Our results show that the TML panel is an effective tool to stratify patients for ICI treatment. A combination of biomarkers might maximize the predictive precision for patient stratification. Our study supports TMB evaluation through targeted NGS in NSCLC patient samples as a tool to predict response to ICI therapy. We offer recommendations for a reliable and cost‐effective assessment of TMB in a routine diagnostic setting. © 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Ilaria Alborelli
- Department of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Katharina Leonards
- Department of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Sacha I Rothschild
- Laboratory of Cancer Immunology, Department of Biomedicine, University Hospital Basel, Basel, Switzerland.,Department of Medical Oncology, Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Laura P Leuenberger
- Department of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Spasenija Savic Prince
- Department of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Kirsten D Mertz
- Department of Pathology, Cantonal Hospital Baselland, Liestal, Switzerland
| | | | - Martin Buess
- Department of Medical Oncology, St. Claraspital, Basel, Switzerland
| | - Alfred Zippelius
- Laboratory of Cancer Immunology, Department of Biomedicine, University Hospital Basel, Basel, Switzerland.,Department of Medical Oncology, Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Heinz Läubli
- Laboratory of Cancer Immunology, Department of Biomedicine, University Hospital Basel, Basel, Switzerland.,Department of Medical Oncology, Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Jasmin Haegele
- Department of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Markus Tolnay
- Department of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Lukas Bubendorf
- Department of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Luca Quagliata
- Department of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Philip Jermann
- Department of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
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Zewde M, Kiyotani K, Park JH, Fang H, Yap KL, Yew PY, Alachkar H, Kato T, Mai TH, Ikeda Y, Matsuda T, Liu X, Ren L, Deng B, Harada M, Nakamura Y. The era of immunogenomics/immunopharmacogenomics. J Hum Genet 2018; 63:865-875. [PMID: 29785006 DOI: 10.1038/s10038-018-0468-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Revised: 05/01/2018] [Accepted: 05/02/2018] [Indexed: 11/09/2022]
Abstract
Although germline alterations and somatic mutations in disease cells have been extensively analyzed, molecular changes in immune cells associated with disease conditions have not been characterized in depth. It is clear that our immune system has a critical role in various biological and pathological conditions, such as infectious diseases, autoimmune diseases, drug-induced skin and liver toxicity, food allergy, and rejection of transplanted organs. The recent development of cancer immunotherapies, particularly drugs modulating the immune checkpoint molecules, has clearly demonstrated the importance of host immune cells in cancer treatments. However, the molecular mechanisms by which these new therapies kill tumor cells are still not fully understood. In this regard, we have begun to explore the role of newly developed tools such as next-generation sequencing in the genetic characterization of both cancer cells and host immune cells, a field that is called immunogenomics/ immunopharmacogenomics. This new field has enormous potential to help us better understand changes in our immune system during the course of various disease conditions. Here we report the potential of deep sequencing of T-cell and B-cell receptors in capturing the molecular contribution of the immune system, which we believe plays critical roles in the pathogenesis of various human diseases.
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Affiliation(s)
- Makda Zewde
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Kazuma Kiyotani
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA.,Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, 135-8550, Japan
| | - Jae-Hyun Park
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Hua Fang
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Kai Lee Yap
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Poh Yin Yew
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Houda Alachkar
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Taigo Kato
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Tu H Mai
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Yuji Ikeda
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Tatsuo Matsuda
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Xiao Liu
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Lili Ren
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Boya Deng
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Makiko Harada
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Yusuke Nakamura
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA.
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