1
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Dufour JP, Allers C, Schiro F, Falkenstein KP, Gregoire KK, Glover CD, Chamel AN, Woods A, Phillippi JP, Gideon TM, Kaur A. Comparison of fine-needle aspiration techniques. J Med Primatol 2023; 52:400-404. [PMID: 37712216 PMCID: PMC10872887 DOI: 10.1111/jmp.12676] [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: 07/12/2023] [Revised: 08/25/2023] [Accepted: 09/03/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND Fine-needle aspiration (FNA) has been reported since 1912 beginning with the use of trocars and other specialized instruments that were impractical. Since then, FNA has proven to be a successful alternative technique to excisional biopsy for some assays despite a few limitations. METHODS In this study, we compared four different techniques for FNA in rhesus macaques by evaluating total live cells recovered and cell viability using a standard 6 mL syringe and 1.5-inch 22-gauge needle. RESULTS Technique B which was the only technique in which the needle was removed from the syringe after collection of the sample to allow forced air through the needle to expel the contents into media followed by flushing of the syringe and needle resulted in the highest total cell count and second highest cell viability in recovered cells. CONCLUSION Based on our results, Technique B appears to be the superior method.
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Affiliation(s)
| | | | - Faith Schiro
- Tulane National Primate Research Center, Covington, LA
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2
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Mooney KL, Czerwinski DK, Shree T, Frank MJ, Haebe S, Martin BA, Testa S, Levy R, Long SR. Serial FNA allows direct sampling of malignant and infiltrating immune cells in patients with B-cell lymphoma receiving immunotherapy. Cancer Cytopathol 2022; 130:231-237. [PMID: 34780125 PMCID: PMC8897258 DOI: 10.1002/cncy.22531] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 11/01/2021] [Accepted: 11/02/2021] [Indexed: 11/05/2022]
Abstract
BACKGROUND Fine-needle aspiration (FNA) is used to diagnose malignancies, recurrences, and metastases. The procedure is quick and well tolerated and can be facilitated by ultrasound guidance. METHODS This article describes the authors' experience in using serial FNA to harvest cellular material during 4 clinical trials of immunotherapy by in situ vaccination in patients with low-grade lymphoma. RESULTS Two hundred ninety-six FNA samples were collected from 44 patients over a span of approximately 6 weeks for each patient. Samples were sufficient in quantity and quality to be analyzed by flow cytometry and/or single-cell messenger RNA sequencing. FNA samples yielded an average of 12 × 106 cells with a mean cellular viability of 86%. Material collected from the tumor lymph nodes differed significantly in the proportions and phenotypes of cellular populations in comparison with matched peripheral blood samples. A comparison of flow cytometry results obtained by FNA directly from the patient and by FNA performed ex vivo and a dissociation of the same lymph node after surgical excision confirmed that FNA sampling of the patient accurately represented the tumor and the microenvironment. An analysis of the FNA samples from immunotherapy-treated target lymph nodes versus nodes from nontreated tumor sites provided insight into the impact of specific immunotherapy regimens. CONCLUSIONS This is the largest study describing the use of serial FNA sampling to harvest cellular material during immunotherapy clinical trials. The success of this technique opens the door for FNA sampling to expand significantly future investigations of the dynamic effects of investigational agents, be they immunotherapies or targeted therapies.
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Affiliation(s)
| | | | - Tanaya Shree
- Stanford University: Department of Medicine, Division of Oncology
| | - Matthew J. Frank
- Stanford University: Department of Medicine, Division of Oncology
| | - Sarah Haebe
- Stanford University: Department of Medicine, Division of Oncology
| | | | - Stefano Testa
- Stanford University: Department of Medicine, Division of Oncology
| | - Ronald Levy
- Stanford University: Department of Medicine, Division of Oncology
| | - Steven R. Long
- University of California, San Francisco, Department of Pathology
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3
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Harber J, Kamata T, Pritchard C, Fennell D. Matter of TIME: the tumor-immune microenvironment of mesothelioma and implications for checkpoint blockade efficacy. J Immunother Cancer 2021; 9:e003032. [PMID: 34518291 PMCID: PMC8438820 DOI: 10.1136/jitc-2021-003032] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/06/2021] [Indexed: 12/18/2022] Open
Abstract
Malignant pleural mesothelioma (MPM) is an incurable cancer with a dismal prognosis and few effective treatment options. Nonetheless, recent positive phase III trial results for immune checkpoint blockade (ICB) in MPM herald a new dawn in the fight to advance effective treatments for this cancer. Tumor mutation burden (TMB) has been widely reported to predict ICB in other cancers, but MPM is considered a low-TMB tumor. Similarly, tumor programmed death-ligand 1 (PD-L1) expression has not been proven predictive in phase III clinical trials in MPM. Consequently, the precise mechanisms that determine response to immunotherapy in this cancer remain unknown. The present review therefore aimed to synthesize our current understanding of the tumor immune microenvironment in MPM and reflects on how specific cellular features might impact immunotherapy responses or lead to resistance. This approach will inform stratified approaches to therapy and advance immunotherapy combinations in MPM to improve clinical outcomes further.
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Affiliation(s)
- James Harber
- Cancer Research Centre, University of Leicester College of Life Sciences, Leicester, UK
| | - Tamihiro Kamata
- Cancer Research Centre, University of Leicester College of Life Sciences, Leicester, UK
| | - Catrin Pritchard
- Cancer Research Centre, University of Leicester College of Life Sciences, Leicester, UK
| | - Dean Fennell
- Cancer Research Centre, University of Leicester College of Life Sciences, Leicester, UK
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4
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Rosàs-Canyelles E, Modzelewski AJ, Gomez Martinez AE, Geldert A, Gopal A, He L, Herr AE. Multimodal detection of protein isoforms and nucleic acids from low starting cell numbers. LAB ON A CHIP 2021; 21:2427-2436. [PMID: 33978041 PMCID: PMC8206029 DOI: 10.1039/d1lc00073j] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Protein isoforms play a key role in disease progression and arise from mechanisms involving multiple molecular subtypes, including DNA, mRNA and protein. Recently introduced multimodal assays successfully link genomes and transcriptomes to protein expression landscapes. However, the specificity of the protein measurement relies on antibodies alone, leading to major challenges when measuring different isoforms of the same protein. Here we utilize microfluidic design to perform same-cell profiling of DNA, mRNA and protein isoforms (triBlot) on low starting cell numbers (1-100 s of cells). After fractionation lysis, cytoplasmic proteins are resolved by molecular mass during polyacrylamide gel electrophoresis (PAGE), adding a degree of specificity to the protein measurement, while nuclei are excised from the device in sections termed "gel pallets" for subsequent off-chip nucleic acid analysis. By assaying TurboGFP-transduced glioblastoma cells, we observe a strong correlation between protein expression prior to lysis and immunoprobed protein. We measure both mRNA and DNA from retrieved nuclei, and find that mRNA levels correlate with protein abundance in TurboGFP-expressing cells. Furthermore, we detect the presence of TurboGFP isoforms differing by an estimated <1 kDa in molecular mass, demonstrating the ability to discern different proteoforms with the same antibody probe. By directly relating nucleic acid modifications to protein isoform expression in 1-100 s of cells, the triBlot assay holds potential as a screening tool for novel biomarkers in diseases driven by protein isoform expression.
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Affiliation(s)
- Elisabet Rosàs-Canyelles
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. and The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, CA 94720, USA
| | - Andrew J Modzelewski
- Division of Cellular and Developmental Biology, Department of Molecular & Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Ana E Gomez Martinez
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. and The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, CA 94720, USA
| | - Alisha Geldert
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. and The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, CA 94720, USA
| | - Anjali Gopal
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. and The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, CA 94720, USA
| | - Lin He
- Division of Cellular and Developmental Biology, Department of Molecular & Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Amy E Herr
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. and The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, CA 94720, USA and Chan Zuckerberg Biohub, 499 Illinois St, San Francisco, CA 94158, USA
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5
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Kostas JC, Greguš M, Schejbal J, Ray S, Ivanov AR. Simple and Efficient Microsolid-Phase Extraction Tip-Based Sample Preparation Workflow to Enable Sensitive Proteomic Profiling of Limited Samples (200 to 10,000 Cells). J Proteome Res 2021; 20:1676-1688. [PMID: 33625864 PMCID: PMC7954648 DOI: 10.1021/acs.jproteome.0c00890] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
In-depth LC-MS-based proteomic profiling of limited biological and clinical samples, such as rare cells or tissue sections from laser capture microdissection or microneedle biopsies, has been problematic due, in large, to the inefficiency of sample preparation and attendant sample losses. To address this issue, we developed on-microsolid-phase extraction tip (OmSET)-based sample preparation for limited biological samples. OmSET is simple, efficient, reproducible, and scalable and is a widely accessible method for processing ∼200 to 10,000 cells. The developed method benefits from minimal sample processing volumes (1-3 μL) and conducting all sample processing steps on-membrane within a single microreactor. We first assessed the feasibility of using micro-SPE tips for nanogram-level amounts of tryptic peptides, minimized the number of required sample handling steps, and reduced the hands-on time. We then evaluated the capability of OmSET for quantitative analysis of low numbers of human monocytes. Reliable and reproducible label-free quantitation results were obtained with excellent correlations between protein abundances and the amounts of starting material (R2 = 0.93) and pairwise correlations between sample processing replicates (R2 = 0.95) along with the identification of approximately 300, 1800, and 2000 protein groups from injected ∼10, 100, and 500 cell equivalents, resulting from processing approximately 200, 2000, and 10,000 cells, respectively.
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Affiliation(s)
- James C Kostas
- Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
| | - Michal Greguš
- Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
| | - Jan Schejbal
- Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
| | - Somak Ray
- Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
| | - Alexander R Ivanov
- Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
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6
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Alborelli I, Bratic Hench I, Chijioke O, Prince SS, Bubendorf L, Leuenberger LP, Tolnay M, Leonards K, Quagliata L, Jermann P, Matter MS. Robust assessment of tumor mutational burden in cytological specimens from lung cancer patients. Lung Cancer 2020; 149:84-89. [PMID: 32980613 DOI: 10.1016/j.lungcan.2020.08.019] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 08/23/2020] [Accepted: 08/31/2020] [Indexed: 12/28/2022]
Abstract
OBJECTIVES Tumor mutational burden (TMB) has emerged as a promising predictive biomarker for immune checkpoint inhibitor therapy. While the feasibility of TMB analysis on formalin-fixed paraffin-embedded (FFPE) samples has been thoroughly evaluated, only limited analyses have been performed on cytological samples, and no dedicated study has investigated concordance of TMB between different sample types. Here, we assessed TMB on matched histological and cytological samples from lung cancer patients and evaluated the accuracy of TMB estimation in these sample types. MATERIALS AND METHODS We analyzed mutations and resulting TMB in FFPE samples and matched ethanol-fixed cytological smears (n = 12 matched pairs) by using a targeted next-generation sequencing assay (Oncomine™ Tumor Mutational Load). Two different variant allele frequency (VAF) thresholds were used to estimate TMB (VAF = 5% or 10%). RESULTS At 5% VAF threshold, 73% (107/147) of mutations were concordantly detected in matched histological and cytological samples. Discordant variants were mainly unique to FFPE samples (34/40 discordant variants) and mostly C:G > T:A transitions with low allelic frequency, likely indicating formalin fixation artifacts. Increasing the VAF threshold to 10% clearly increased the number of concordantly detected mutations in matched histological and cytological samples to 96% (100/106 mutations), and drastically reduced the number of FFPE-only mutations (from 34 to 4 mutations). In contrast, cytological samples showed consistent mutation count and TMB values at both VAF thresholds. Using FFPE samples, 2 out of 12 patients were classified as TMB-high at VAF cutoff of 5% but TMB-low at 10%, whereas cytological specimens allowed consistent patient classification independently from VAF cutoff. CONCLUSION Our results show that cytological smears provide more consistent TMB values due to high DNA quality and lack of formalin-fixation induced artifacts. Therefore, cytological samples should be the preferred sample type for robust TMB estimation.
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Affiliation(s)
- Ilaria Alborelli
- Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Switzerland.
| | - Ivana Bratic Hench
- Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Switzerland
| | - Obinna Chijioke
- Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Switzerland
| | - Spasenija Savic Prince
- Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Switzerland
| | - Lukas Bubendorf
- Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Switzerland
| | - Laura P Leuenberger
- Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Switzerland
| | - Markus Tolnay
- Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Switzerland
| | - Katharina Leonards
- Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Switzerland
| | | | - Philip Jermann
- Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Switzerland
| | - Matthias S Matter
- Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Switzerland
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7
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Jang HJ, Lee HS, Ramos D, Park IK, Kang CH, Burt BM, Kim YT. Transcriptome-based molecular subtyping of non-small cell lung cancer may predict response to immune checkpoint inhibitors. J Thorac Cardiovasc Surg 2019; 159:1598-1610.e3. [PMID: 31879171 DOI: 10.1016/j.jtcvs.2019.10.123] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 10/07/2019] [Accepted: 10/22/2019] [Indexed: 12/27/2022]
Abstract
OBJECTIVES We set out to investigate whether transcriptome-based molecular subtypes in lung adenocarcinoma and lung squamous cell carcinoma are predictive of the response to programmed cell death 1 blockade. METHODS Molecular classification of non-small cell lung cancer was performed by unsupervised clustering of mRNA sequencing data from 87 lung adenocarcinoma and 101 lung squamous cell carcinoma specimens, and molecular subtypes were characterized according to their immunogenomic determinants. A prediction algorithm of molecular subtypes was applied to 35 patients with non-small cell lung cancer treated with programmed cell death 1 blockade to test its association with treatment response (GSE93157; the Barcelona cohort). RESULTS Unsupervised hierarchical clustering of transcriptome sequencing data in lung adenocarcinoma and lung squamous cell carcinoma revealed 3 and 2 distinct clusters, respectively. Cluster 1 in each histology had a higher expression of immune regulatory molecules, increased cytolytic activity, higher interferon-γ signature, and more abundant infiltration of immune cells. Cluster 1 and other cluster(s) in lung adenocarcinoma and lung squamous cell carcinoma had immunologically-hot and immunologically-cold tumor-immune microenvironments, respectively. Immunologically-hot cluster 1 subtype is hereafter referred to as "good-tumor-immune microenvironments" and the other subtypes as "bad-tumor-immune microenvironments." The "good-tumor-immune microenvironments" subtype in lung adenocarcinoma included a high fraction of CD8 T cells and memory B cells, but a low fraction of regulatory CD4 T cells and tumor-associated myeloid cells. Forward and backward application of our molecular subtyping to the Barcelona cohort revealed that transcriptome-based molecular subtyping is significantly associated with response to programmed cell death 1 blockade. CONCLUSIONS Molecular stratification by transcriptome sequencing data in non-small cell lung cancer identifies distinct immunomolecular subtypes that predict the response to programmed cell death 1 blockade.
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Affiliation(s)
- Hee-Jin Jang
- Department of Medicine, Seoul National University Graduate School of Medicine, College of Medicine, Seoul, Republic of Korea; Division of Thoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Hyun-Sung Lee
- Division of Thoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Daniela Ramos
- Division of Thoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - In Kyu Park
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Republic of Korea
| | - Chang Hyun Kang
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Republic of Korea
| | - Bryan M Burt
- Division of Thoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex.
| | - Young Tae Kim
- Department of Medicine, Seoul National University Graduate School of Medicine, College of Medicine, Seoul, Republic of Korea; Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Republic of Korea; Seoul National University Cancer Research Institute, Seoul, Republic of Korea.
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8
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Gill RR, Tsao AS, Kindler HL, Richards WG, Armato SG, Francis RJ, Gomez DR, Dahlberg S, Rimner A, Simone CB, de Perrot M, Blumenthal G, Adjei AA, Bueno R, Harpole DH, Hesdorffer M, Hirsch FR, Pass HI, Yorke E, Rosenzweig K, Burt B, Fennell DA, Lindwasser W, Malik S, Peikert T, Mansfield AS, Salgia R, Yang H, Rusch VW, Nowak AK. Radiologic Considerations and Standardization of Malignant Pleural Mesothelioma Imaging Within Clinical Trials: Consensus Statement from the NCI Thoracic Malignancy Steering Committee - International Association for the Study of Lung Cancer - Mesothelioma Applied Research Foundation Clinical Trials Planning Meeting. J Thorac Oncol 2019; 14:1718-1731. [PMID: 31470129 DOI: 10.1016/j.jtho.2019.08.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Revised: 06/26/2019] [Accepted: 08/20/2019] [Indexed: 12/19/2022]
Abstract
Detailed guidelines pertaining to radiological assessment of malignant pleural mesothelioma are currently lacking due to the rarity of the disease, complex morphology, propensity to invade multiple planes simultaneously, and lack of specific recommendations within the radiology community about assessment, reporting, and follow-up. In March 2017, a multidisciplinary meeting of mesothelioma experts was co-sponsored by the National Cancer Institute Thoracic Malignancy Steering Committee, International Association for the Study of Lung Cancer, and the Mesothelioma Applied Research Foundation. One of the outcomes of this conference was the foundation of detailed, multidisciplinary consensus imaging and management guidelines. Here, we present the recommendations for radiologic assessment of malignant pleural mesothelioma in the setting of clinical trial enrollment. We discuss optimization of imaging parameters across modalities, standardized reporting, and response assessment within clinical trials.
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Affiliation(s)
- Ritu R Gill
- Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
| | - Anne S Tsao
- Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hedy L Kindler
- Section of Hematology/Oncology, University of Chicago Medical Center, Chicago, Illinois
| | - William G Richards
- Department of Surgery, Brigham & Women's Hospital, Boston, Massachusetts
| | - Samuel G Armato
- Department of Radiology, University of Chicago, Chicago, Illinois
| | - Roslyn J Francis
- Department of Nuclear Medicine, Sir Charles Gairdner Hospital and Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia
| | - Daniel R Gomez
- Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Departments of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York; Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Suzanne Dahlberg
- Department of Biostatistics, Dana Farber Cancer Institute, Boston, Massachusetts
| | - Andreas Rimner
- Departments of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York; Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas; Departments of Radiation Oncology, Surgery, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Charles B Simone
- Department of Radiation Oncology, New York Proton Center, New York, New York
| | - Marc de Perrot
- Cancer Clinical Research Unit, Princess Margaret Cancer Center, Toronto, Ontario, Canada
| | - Gideon Blumenthal
- U.S. Food and Drug Administration, National Cancer Institute, Bethesda, Maryland
| | - Alex A Adjei
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Raphael Bueno
- Department of Surgery, Brigham & Women's Hospital, Boston, Massachusetts
| | - David H Harpole
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina
| | | | - Fred R Hirsch
- Center for Thoracic Oncology, Mount Sinai Cancer, Mount Sinai Health System, New York, New York
| | - Harvey I Pass
- Department of Cardiothoracic Surgery, NYU School of Medicine, New York, New York
| | - Ellen Yorke
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kenneth Rosenzweig
- Department of Radiation Oncology, Mount Sinai School of Medicine, New York, New York
| | - Bryan Burt
- Department of Thoracic Surgery, Baylor College of Medicine, Houston, Texas
| | - Dean A Fennell
- Leicester Cancer Research Centre, University of Leicester, Leicester, United Kingdom
| | | | | | - Tobias Peikert
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
| | - Aaron S Mansfield
- U.S. Food and Drug Administration, National Cancer Institute, Bethesda, Maryland
| | - Ravi Salgia
- Department of Medical Oncology & Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte, California
| | - Haining Yang
- Department of Pathology, University of Hawaii, Honolulu, Hawaii
| | - Valerie W Rusch
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Anna K Nowak
- Department of Medicine, Sir Charles Gairdner Hospital and Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia
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9
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O'Brien SM, Klampatsa A, Thompson JC, Martinez MC, Hwang WT, Rao AS, Standalick JE, Kim S, Cantu E, Litzky LA, Singhal S, Eruslanov EB, Moon EK, Albelda SM. Function of Human Tumor-Infiltrating Lymphocytes in Early-Stage Non-Small Cell Lung Cancer. Cancer Immunol Res 2019; 7:896-909. [PMID: 31053597 PMCID: PMC6548666 DOI: 10.1158/2326-6066.cir-18-0713] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2018] [Revised: 01/14/2019] [Accepted: 04/18/2019] [Indexed: 01/22/2023]
Abstract
Cancer progression is marked by dysfunctional tumor-infiltrating lymphocytes (TIL) with high inhibitory receptor (IR) expression. Because IR blockade has led to clinical responses in some patients with non-small cell lung cancer (NSCLC), we investigated how IRs influenced CD8+ TIL function from freshly digested early-stage NSCLC tissues using a killing assay and intracellular cytokine staining after in vitro T-cell restimulation. Early-stage lung cancer TIL function was heterogeneous with only about one third of patients showing decrements in cytokine production and lytic function. TIL hypofunction did not correlate with clinical factors, coexisting immune cells (macrophages, neutrophils, or CD4+ T regulatory cells), nor with PD-1, TIGIT, TIM-3, CD39, or CTLA-4 expression. Instead, we found that the presence of the integrin αeβ7 (CD103), characteristic of tissue-resident memory cells (TRM), was positively associated with cytokine production, whereas expression of the transcription factor Eomesodermin (Eomes) was negatively associated with TIL function. These data suggest that the functionality of CD8+ TILs from early-stage NSCLCs may be influenced by competition between an antitumor CD103+ TRM program and an exhaustion program marked by Eomes expression. Understanding the mechanisms of T-cell function in the progression of lung cancer may have clinical implications for immunotherapy.
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MESH Headings
- Aged
- Aged, 80 and over
- Biological Variation, Population
- Biomarkers, Tumor
- CD8-Positive T-Lymphocytes/immunology
- CD8-Positive T-Lymphocytes/metabolism
- Carcinoma, Non-Small-Cell Lung/immunology
- Carcinoma, Non-Small-Cell Lung/metabolism
- Carcinoma, Non-Small-Cell Lung/mortality
- Carcinoma, Non-Small-Cell Lung/pathology
- Cause of Death
- Female
- Gene Expression
- Humans
- Immunologic Memory
- Immunophenotyping
- Lung Neoplasms/immunology
- Lung Neoplasms/metabolism
- Lung Neoplasms/mortality
- Lung Neoplasms/pathology
- Lymphocyte Activation/immunology
- Lymphocytes, Tumor-Infiltrating/immunology
- Lymphocytes, Tumor-Infiltrating/metabolism
- Lymphocytes, Tumor-Infiltrating/pathology
- Male
- Middle Aged
- Neoplasm Staging
- Prognosis
- Tumor Microenvironment/immunology
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Affiliation(s)
- Shaun M O'Brien
- Division of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
| | - Astero Klampatsa
- Division of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jeffrey C Thompson
- Division of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Marina C Martinez
- Division of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Wei-Ting Hwang
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Abishek S Rao
- Division of Thoracic Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jason E Standalick
- Division of Thoracic Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Soyeon Kim
- Division of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Edward Cantu
- Division of Cardiovascular Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Leslie A Litzky
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sunil Singhal
- Division of Thoracic Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Evgeniy B Eruslanov
- Division of Thoracic Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Edmund K Moon
- Division of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Steven M Albelda
- Division of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
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10
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Salaroglio IC, Kopecka J, Napoli F, Pradotto M, Maletta F, Costardi L, Gagliasso M, Milosevic V, Ananthanarayanan P, Bironzo P, Tabbò F, Cartia CF, Passone E, Comunanza V, Ardissone F, Ruffini E, Bussolino F, Righi L, Novello S, Di Maio M, Papotti M, Scagliotti GV, Riganti C. Potential Diagnostic and Prognostic Role of Microenvironment in Malignant Pleural Mesothelioma. J Thorac Oncol 2019; 14:1458-1471. [PMID: 31078776 DOI: 10.1016/j.jtho.2019.03.029] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 03/12/2019] [Accepted: 03/31/2019] [Indexed: 01/01/2023]
Abstract
INTRODUCTION A comprehensive analysis of the immune cell infiltrate collected from pleural fluid and from biopsy specimens of malignant pleural mesothelioma (MPM) may contribute to understanding the immune-evasion mechanisms related to tumor progression, aiding in differential diagnosis and potential prognostic stratification. Until now such approach has not routinely been verified. METHODS We enrolled 275 patients with an initial clinical diagnosis of pleural effusion. Specimens of pleural fluids and pleural biopsy samples used for the pathologic diagnosis and the immune phenotype analyses were blindly investigated by multiparametric flow cytometry. The results were analyzed using the Kruskal-Wallis test. The Kaplan-Meier and log-rank tests were used to correlate immune phenotype data with patients' outcome. RESULTS The cutoffs of intratumor T-regulatory (>1.1%) cells, M2-macrophages (>36%), granulocytic and monocytic myeloid-derived suppressor cells (MDSC; >5.1% and 4.2%, respectively), CD4 molecule-positive (CD4+) programmed death 1-positive (PD-1+) (>5.2%) and CD8+PD-1+ (6.4%) cells, CD4+ lymphocyte activating 3-positive (LAG-3+) (>2.8% ) and CD8+LAG-3+ (>2.8%) cells, CD4+ T cell immunoglobulin and mucin domain 3-positive (TIM-3+) (>2.5%), and CD8+TIM-3+ (>2.6%) cells discriminated MPM from pleuritis with 100% sensitivity and 89% specificity. The presence of intratumor MDSC contributed to the anergy of tumor-infiltrating lymphocytes. The immune phenotype of pleural fluid cells had no prognostic significance. By contrast, the intratumor T-regulatory and MDSC levels significantly correlated with progression-free and overall survival, the PD-1+/LAG-3+/TIM-3+ CD4+ tumor-infiltrating lymphocytes correlated with overall survival. CONCLUSIONS A clear immune signature of pleural fluids and tissues of MPM patients may contribute to better predict patients' outcome.
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Affiliation(s)
| | - Joanna Kopecka
- Department of Oncology, University of Torino, Torino, Italy
| | - Francesca Napoli
- Pathology Unit, Department of Oncology at San Luigi Hospital, University of Torino, Orbassano, Italy
| | - Monica Pradotto
- Thoracic Oncology Unit and Medical Oncology Division, Department of Oncology at San Luigi Hospital, University of Torino Regione Gonzole 10, Orbassano, Italy
| | - Francesca Maletta
- Department of Oncology, University of Torino, Torino, Italy; Pathology Unit, Department of Oncology at AOU Città della Salute e della Scienza, Torino, Italy
| | - Lorena Costardi
- Thoracic Surgery Unit, Department of Surgery, AOU Città della Salute e Della Scienza, University of Torino, Torino, Italy
| | - Matteo Gagliasso
- Thoracic Surgery Unit, Department of Oncology at San Luigi Hospital, University of Torino, Orbassano, Italy
| | | | | | - Paolo Bironzo
- Department of Oncology, University of Torino, Torino, Italy; Thoracic Oncology Unit and Medical Oncology Division, Department of Oncology at San Luigi Hospital, University of Torino Regione Gonzole 10, Orbassano, Italy
| | - Fabrizio Tabbò
- Department of Oncology, University of Torino, Torino, Italy; Thoracic Oncology Unit and Medical Oncology Division, Department of Oncology at San Luigi Hospital, University of Torino Regione Gonzole 10, Orbassano, Italy
| | - Carlotta F Cartia
- Thoracic Surgery Unit, Department of Oncology at San Luigi Hospital, University of Torino, Orbassano, Italy
| | - Erika Passone
- Thoracic Surgery Unit, Department of Surgery, AOU Città della Salute e Della Scienza, University of Torino, Torino, Italy
| | - Valentina Comunanza
- Department of Oncology, University of Torino, Torino, Italy; Candiolo Cancer Institute - FPO IRCCS, Candiolo, Department of Oncology, University of Torino, Candiolo, Italy
| | - Francesco Ardissone
- Thoracic Surgery Unit, Department of Oncology at San Luigi Hospital, University of Torino, Orbassano, Italy
| | - Enrico Ruffini
- Thoracic Surgery Unit, Department of Surgery, AOU Città della Salute e Della Scienza, University of Torino, Torino, Italy
| | - Federico Bussolino
- Department of Oncology, University of Torino, Torino, Italy; Candiolo Cancer Institute - FPO IRCCS, Candiolo, Department of Oncology, University of Torino, Candiolo, Italy
| | - Luisella Righi
- Department of Oncology, University of Torino, Torino, Italy; Pathology Unit, Department of Oncology at San Luigi Hospital, University of Torino, Orbassano, Italy
| | - Silvia Novello
- Department of Oncology, University of Torino, Torino, Italy; Thoracic Oncology Unit and Medical Oncology Division, Department of Oncology at San Luigi Hospital, University of Torino Regione Gonzole 10, Orbassano, Italy
| | - Massimo Di Maio
- Department of Oncology, University of Torino, Torino, Italy; Medical Oncology Division, Department of Oncology at AOU Ordine Mauriziano di Torino, Torino, Italy
| | - Mauro Papotti
- Department of Oncology, University of Torino, Torino, Italy; Pathology Unit, Department of Oncology at AOU Città della Salute e della Scienza, Torino, Italy
| | - Giorgio V Scagliotti
- Department of Oncology, University of Torino, Torino, Italy; Thoracic Oncology Unit and Medical Oncology Division, Department of Oncology at San Luigi Hospital, University of Torino Regione Gonzole 10, Orbassano, Italy
| | - Chiara Riganti
- Department of Oncology, University of Torino, Torino, Italy; Interdepartmental Center "G. Scansetti" for the Study of Asbestos and Other Toxic Particulates, University of Torino, Torino, Italy.
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11
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Scherpereel A, Wallyn F, Albelda SM, Munck C. Novel therapies for malignant pleural mesothelioma. Lancet Oncol 2019; 19:e161-e172. [PMID: 29508763 DOI: 10.1016/s1470-2045(18)30100-1] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 10/03/2017] [Accepted: 10/12/2017] [Indexed: 12/11/2022]
Abstract
Malignant pleural mesothelioma is a rare cancer that is typically associated with exposure to asbestos. Patients with malignant pleural mesothelioma have poor outcomes with suboptimal therapeutic options and currently no treatment is curative. The standard frontline treatment, cisplatin plus pemetrexed chemotherapy, has only short and insufficient efficacy, and no validated treatment beyond first-line therapy is available. New therapeutic strategies are therefore needed. The addition of bevacizumab (an anti-VEGF antibody) combined with cisplatin plus pemetrexed has shown some promise. However, immunotherapy, especially immune checkpoint inhibitors, has generated a lot of excitement because of data suggesting the potential value of immune checkpoint inhibitors for patients who have failed chemotherapy. In this Review, we describe immune checkpoint inhibitors, other immunotherapies, targeted therapies, or combinations of novel drugs being investigated in malignant pleural mesothelioma, as well as the issues surrounding the selection of the best candidates for these treatments.
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Affiliation(s)
- Arnaud Scherpereel
- Pulmonary and Thoracic Oncology Department, University of Lille, Centre Hospitalier Universitaire de Lille, Institut Pasteur de Lille, Lille, France; French National Network of Clinical Expert Centers for Malignant Pleural Mesothelioma Management (MESOCLIN), Lille, France.
| | - Frederic Wallyn
- Pulmonary and Thoracic Oncology Department, University of Lille, Centre Hospitalier Universitaire de Lille, Institut Pasteur de Lille, Lille, France
| | - Steven M Albelda
- Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Camille Munck
- Pulmonary and Thoracic Oncology Department, University of Lille, Centre Hospitalier Universitaire de Lille, Institut Pasteur de Lille, Lille, France
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12
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Tentori AM, Nagarajan MB, Kim JJ, Zhang WC, Slack FJ, Doyle PS. Quantitative and multiplex microRNA assays from unprocessed cells in isolated nanoliter well arrays. LAB ON A CHIP 2018; 18:2410-2424. [PMID: 29998262 PMCID: PMC6081239 DOI: 10.1039/c8lc00498f] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
MicroRNAs (miRNAs) have recently emerged as promising biomarkers for the profiling of diseases. Translation of miRNA biomarkers to clinical practice, however, remains a challenge due to the lack of analysis platforms for sensitive, quantitative, and multiplex miRNA assays that have simple and robust workflows suitable for translation. The platform we present here utilizes functionalized hydrogel posts contained within isolated nanoliter well reactors for quantitative and multiplex assays directly from unprocessed cell samples without the need of prior nucleic acid extraction. Simultaneous reactor isolation and delivery of miRNA extraction reagents is achieved by sealing an array of wells containing the functionalized hydrogel posts and cells against another array of wells containing lysis and extraction reagents. The nanoliter well array platform features >100× better sensitivity compared to previous technology utilizing hydrogel particles without relying on signal amplification and enables >100 parallel assays in a single device. These advances provided by this platform lay the groundwork for translatable and robust analysis technologies for miRNA expression profiling in samples with small populations of cells and in precious, material-limited samples.
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Affiliation(s)
- Augusto M. Tentori
- Department of Chemical Engineering
, Massachusetts Institute of Technology
,
Cambridge
, USA
.
; Tel: +1 617 253 4534
| | - Maxwell B. Nagarajan
- Department of Chemical Engineering
, Massachusetts Institute of Technology
,
Cambridge
, USA
.
; Tel: +1 617 253 4534
| | - Jae Jung Kim
- Department of Chemical Engineering
, Massachusetts Institute of Technology
,
Cambridge
, USA
.
; Tel: +1 617 253 4534
| | - Wen Cai Zhang
- Department of Pathology
, Beth Israel Deaconess Medical Center/Harvard Medical School
,
Boston
, USA
| | - Frank J. Slack
- Department of Pathology
, Beth Israel Deaconess Medical Center/Harvard Medical School
,
Boston
, USA
| | - Patrick S. Doyle
- Department of Chemical Engineering
, Massachusetts Institute of Technology
,
Cambridge
, USA
.
; Tel: +1 617 253 4534
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13
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The Era of Checkpoint Blockade in Lung Cancer: Taking the Brakes Off the Immune System. Ann Am Thorac Soc 2018; 14:1248-1260. [PMID: 28613923 DOI: 10.1513/annalsats.201702-152fr] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Despite recent advances with targeted kinase inhibitors and better-tolerated chemotherapy, the treatment of metastatic non-small-cell lung cancer remains suboptimal. One recent advance that holds great promise is immunotherapy-an approach that enhances a patient's immune system to better recognize and react to abnormal cells. The most successful immunotherapeutic strategy to date uses antibodies to block inhibitory receptors (also called "checkpoints") that are up-regulated on the T cells that infiltrate the tumor. Two examples of such molecules are programmed cell death-1 (PD1) and cytotoxic T lymphocyte-associated protein-4. With more than a dozen clinical trials in non-small-cell lung cancer completed, checkpoint blockade targeting PD1 has demonstrated durable responses and superior survival compared with traditional chemotherapy agents when used as first-line therapy in individuals with more than 50% PD1 ligand (PDL1) expression by immunohistochemical staining and as second-line therapy independent of PDL1 status. Antibodies to PDL1 have shown similar activity. Combinations of anti-PD1 and anti-PDL1 with anti-cytotoxic T lymphocyte-associated protein-4 and chemotherapy are being actively tested. These agents have generally tolerable safety profiles; pneumonitis, although rare, remains the most feared adverse effect. PDL1 expression on tumors has been identified as a biomarker predictive of response. Although PDL1 expression has traditionally been measured on resected tumor specimens, the pulmonologist has a growing role in obtaining samples for testing via minimally invasive means.
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14
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Lee HS, Jang HJ, Choi JM, Zhang J, de Rosen VL, Wheeler TM, Lee JS, Tu T, Jindra PT, Kerman RH, Jung SY, Kheradmand F, Sugarbaker DJ, Burt BM. Comprehensive immunoproteogenomic analyses of malignant pleural mesothelioma. JCI Insight 2018; 3:98575. [PMID: 29618661 PMCID: PMC5928857 DOI: 10.1172/jci.insight.98575] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Accepted: 02/28/2018] [Indexed: 01/16/2023] Open
Abstract
We generated a comprehensive atlas of the immunologic cellular networks within human malignant pleural mesothelioma (MPM) using mass cytometry. Data-driven analyses of these high-resolution single-cell data identified 2 distinct immunologic subtypes of MPM with vastly different cellular composition, activation states, and immunologic function; mass spectrometry demonstrated differential abundance of MHC-I and -II neopeptides directly identified between these subtypes. The clinical relevance of this immunologic subtyping was investigated with a discriminatory molecular signature derived through comparison of the proteomes and transcriptomes of these 2 immunologic MPM subtypes. This molecular signature, representative of a favorable intratumoral cell network, was independently associated with improved survival in MPM and predicted response to immune checkpoint inhibitors in patients with MPM and melanoma. These data additionally suggest a potentially novel mechanism of response to checkpoint blockade: requirement for high measured abundance of neopeptides in the presence of high expression of MHC proteins specific for these neopeptides. A systematic immunoproteogenomic investigation of malignant pleural mesothelioma reveals mechanisms of anti-tumor immunity.
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Affiliation(s)
- Hyun-Sung Lee
- Division of Thoracic Surgery, Michael E. DeBakey Department of Surgery
| | - Hee-Jin Jang
- Division of Thoracic Surgery, Michael E. DeBakey Department of Surgery
| | | | - Jun Zhang
- Section of Hematology-Oncology, Department of Medicine
| | | | - Thomas M Wheeler
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas, USA
| | - Ju-Seog Lee
- Department of Systems Biology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Thuydung Tu
- Division of Abdominal Transplantation, Immune Evaluation Laboratory, Michael E. DeBakey Department of Surgery, and
| | - Peter T Jindra
- Division of Abdominal Transplantation, Immune Evaluation Laboratory, Michael E. DeBakey Department of Surgery, and
| | - Ronald H Kerman
- Division of Abdominal Transplantation, Immune Evaluation Laboratory, Michael E. DeBakey Department of Surgery, and
| | | | - Farrah Kheradmand
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas, USA.,Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - David J Sugarbaker
- Center for Translational Research in Inflammatory Diseases, Michael E. DeBakey VA Medical Center, Houston, Texas, USA
| | - Bryan M Burt
- Division of Thoracic Surgery, Michael E. DeBakey Department of Surgery
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15
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Jenkins RW, Aref AR, Lizotte PH, Ivanova E, Stinson S, Zhou CW, Bowden M, Deng J, Liu H, Miao D, He MX, Walker W, Zhang G, Tian T, Cheng C, Wei Z, Palakurthi S, Bittinger M, Vitzthum H, Kim JW, Merlino A, Quinn M, Venkataramani C, Kaplan JA, Portell A, Gokhale PC, Phillips B, Smart A, Rotem A, Jones RE, Keogh L, Anguiano M, Stapleton L, Jia Z, Barzily-Rokni M, Cañadas I, Thai TC, Hammond MR, Vlahos R, Wang ES, Zhang H, Li S, Hanna GJ, Huang W, Hoang MP, Piris A, Eliane JP, Stemmer-Rachamimov AO, Cameron L, Su MJ, Shah P, Izar B, Thakuria M, LeBoeuf NR, Rabinowits G, Gunda V, Parangi S, Cleary JM, Miller BC, Kitajima S, Thummalapalli R, Miao B, Barbie TU, Sivathanu V, Wong J, Richards WG, Bueno R, Yoon CH, Miret J, Herlyn M, Garraway LA, Van Allen EM, Freeman GJ, Kirschmeier PT, Lorch JH, Ott PA, Hodi FS, Flaherty KT, Kamm RD, Boland GM, Wong KK, Dornan D, Paweletz CP, Barbie DA. Ex Vivo Profiling of PD-1 Blockade Using Organotypic Tumor Spheroids. Cancer Discov 2017; 8:196-215. [PMID: 29101162 DOI: 10.1158/2159-8290.cd-17-0833] [Citation(s) in RCA: 340] [Impact Index Per Article: 48.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 10/23/2017] [Accepted: 10/31/2017] [Indexed: 12/16/2022]
Abstract
Ex vivo systems that incorporate features of the tumor microenvironment and model the dynamic response to immune checkpoint blockade (ICB) may facilitate efforts in precision immuno-oncology and the development of effective combination therapies. Here, we demonstrate the ability to interrogate ex vivo response to ICB using murine- and patient-derived organotypic tumor spheroids (MDOTS/PDOTS). MDOTS/PDOTS isolated from mouse and human tumors retain autologous lymphoid and myeloid cell populations and respond to ICB in short-term three-dimensional microfluidic culture. Response and resistance to ICB was recapitulated using MDOTS derived from established immunocompetent mouse tumor models. MDOTS profiling demonstrated that TBK1/IKKε inhibition enhanced response to PD-1 blockade, which effectively predicted tumor response in vivo Systematic profiling of secreted cytokines in PDOTS captured key features associated with response and resistance to PD-1 blockade. Thus, MDOTS/PDOTS profiling represents a novel platform to evaluate ICB using established murine models as well as clinically relevant patient specimens.Significance: Resistance to PD-1 blockade remains a challenge for many patients, and biomarkers to guide treatment are lacking. Here, we demonstrate feasibility of ex vivo profiling of PD-1 blockade to interrogate the tumor immune microenvironment, develop therapeutic combinations, and facilitate precision immuno-oncology efforts. Cancer Discov; 8(2); 196-215. ©2017 AACR.See related commentary by Balko and Sosman, p. 143See related article by Deng et al., p. 216This article is highlighted in the In This Issue feature, p. 127.
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Affiliation(s)
- Russell W Jenkins
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Division of Medical Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Amir R Aref
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Patrick H Lizotte
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Elena Ivanova
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Chensheng W Zhou
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Center for Molecular Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Michaela Bowden
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Center for Molecular Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jiehui Deng
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Hongye Liu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts.,Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts
| | - Diana Miao
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Meng Xiao He
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Broad Institute of Harvard and MIT, Cambridge, Massachusetts.,Harvard Graduate Program in Biophysics, Boston, Massachusetts
| | - William Walker
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Gao Zhang
- Melanoma Research Center and Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, Pennsylvania
| | - Tian Tian
- Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey
| | - Chaoran Cheng
- Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey
| | - Zhi Wei
- Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey
| | - Sangeetha Palakurthi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mark Bittinger
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Hans Vitzthum
- Division of Medical Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Jong Wook Kim
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Ashley Merlino
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Max Quinn
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | | | - Andrew Portell
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Prafulla C Gokhale
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Alicia Smart
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Asaf Rotem
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Robert E Jones
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Lauren Keogh
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Maria Anguiano
- Center for Applied Medical Research, University of Navarra, Pamplona, Spain
| | | | | | - Michal Barzily-Rokni
- Division of Medical Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Israel Cañadas
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Tran C Thai
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Marc R Hammond
- Division of Medical Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Raven Vlahos
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Center for Molecular Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Eric S Wang
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Hua Zhang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Shuai Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Glenn J Hanna
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Wei Huang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mai P Hoang
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Adriano Piris
- Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts
| | - Jean-Pierre Eliane
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Anat O Stemmer-Rachamimov
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Lisa Cameron
- Confocal and Light Microscopy Core Facility, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mei-Ju Su
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Parin Shah
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Benjamin Izar
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Manisha Thakuria
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Department of Dermatology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Nicole R LeBoeuf
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Department of Dermatology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Guilherme Rabinowits
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Viswanath Gunda
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sareh Parangi
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - James M Cleary
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Brian C Miller
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Shunsuke Kitajima
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Rohit Thummalapalli
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Benchun Miao
- Division of Medical Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Thanh U Barbie
- Department of Surgical Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Vivek Sivathanu
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Joshua Wong
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - William G Richards
- Division of Thoracic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Raphael Bueno
- Division of Thoracic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Charles H Yoon
- Department of Surgical Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Juan Miret
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Meenhard Herlyn
- Melanoma Research Center and Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, Pennsylvania
| | - Levi A Garraway
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Eliezer M Van Allen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Gordon J Freeman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Paul T Kirschmeier
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jochen H Lorch
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Patrick A Ott
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - F Stephen Hodi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Keith T Flaherty
- Division of Medical Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Roger D Kamm
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts.,Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Genevieve M Boland
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Kwok-Kin Wong
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Cloud Peter Paweletz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts. .,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - David A Barbie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
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16
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Tano ZE, Chintala NK, Li X, Adusumilli PS. Novel immunotherapy clinical trials in malignant pleural mesothelioma. ANNALS OF TRANSLATIONAL MEDICINE 2017; 5:245. [PMID: 28706913 DOI: 10.21037/atm.2017.03.81] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
In this article, we review ongoing novel clinical trials currently investigating immunotherapeutic approaches for patients with malignant pleural mesothelioma (MPM). There is a dearth of effective therapeutic options for patients diagnosed with MPM and metastatic cancers of the pleura; these diseases have an estimated annual incidence of 150,000. Modulating the immune microenvironment to promote antitumor immune responses by systemically and regionally delivered therapeutic agents is an active area of investigation. We have conducted a review of the clinical trials database for clinical trials actively recruiting MPM patients. We focused on novel therapeutic agents administered either systemically or intrapleurally to modulate the tumor immune microenvironment. Herein, we have summarized the published results of early phase clinical trials. A total of 43 clinical trials met our inclusion criteria. These trials are investigating immunologic agents (n=20) and antibody directed therapies (n=23). The regional intrapleural delivery technique (6 trials) is used to administer chemotherapy agents (3 of 6 trials) and immunotherapy agents (3 of 6 trials), including chimeric antigen receptor T cells (1 of 6 trials). Current clinical trials modulating the MPM immune microenvironment and the combination of these novel agents with standard of care therapy provide a promising area of investigation for MPM therapy.
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Affiliation(s)
- Zachary E Tano
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Navin K Chintala
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Xiaoyu Li
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Prasad S Adusumilli
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Richards WG. Malignant pleural mesothelioma: predictors and staging. ANNALS OF TRANSLATIONAL MEDICINE 2017; 5:243. [PMID: 28706911 DOI: 10.21037/atm.2017.06.26] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Malignant pleural mesothelioma remains a rapidly fatal cancer with few effective therapies. Unusual anatomic features complicate determination of stage and prognosis for individual patients. Validation of staging criteria has been difficult given the rarity of the disease and the fact that only a minority of patients undergo surgical resection with pathological examination of their tumors. Thus, additional heuristic factors and algorithms have been taken into account by clinicians to estimate prognosis and inform discussion of appropriate management strategies or clinical research protocols with patients.
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Affiliation(s)
- William G Richards
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
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18
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Kadić E, Moniz RJ, Huo Y, Chi A, Kariv I. Effect of cryopreservation on delineation of immune cell subpopulations in tumor specimens as determinated by multiparametric single cell mass cytometry analysis. BMC Immunol 2017; 18:6. [PMID: 28148223 PMCID: PMC5288879 DOI: 10.1186/s12865-017-0192-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 01/29/2017] [Indexed: 12/14/2022] Open
Abstract
Background Comprehensive understanding of cellular immune subsets involved in regulation of tumor progression is central to the development of cancer immunotherapies. Single cell immunophenotyping has historically been accomplished by flow cytometry (FC) analysis, enabling the analysis of up to 18 markers. Recent advancements in mass cytometry (MC) have facilitated detection of over 50 markers, utilizing high resolving power of mass spectrometry (MS). This study examined an analytical and operational feasibility of MC for an in-depth immunophenotyping analysis of the tumor microenvironment, using the commercial CyTOF™ instrument, and further interrogated challenges in managing the integrity of tumor specimens. Results Initial longitudinal studies with frozen peripheral blood mononuclear cells (PBMCs) showed minimal MC inter-assay variability over nine independent runs. In addition, detection of common leukocyte lineage markers using MC and FC detection confirmed that these methodologies are comparable in cell subset identification. An advanced multiparametric MC analysis of 39 total markers enabled a comprehensive evaluation of cell surface marker expression in fresh and cryopreserved tumor samples. This comparative analysis revealed significant reduction of expression levels of multiple markers upon cryopreservation. Most notably myeloid derived suppressor cells (MDSC), defined by co-expression of CD66b+ and CD15+, HLA-DRdim and CD14− phenotype, were undetectable in frozen samples. Conclusion These results suggest that optimization and evaluation of cryopreservation protocols is necessary for accurate biomarker discovery in frozen tumor specimens. Electronic supplementary material The online version of this article (doi:10.1186/s12865-017-0192-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Elma Kadić
- Department of Pharmacology, Cellular Pharmacology, Merck and Co. Inc, 33 Avenue Louis Pasteur, Boston, 02115, MA, USA
| | - Raymond J Moniz
- Department of Biology-Discovery, Immunooncology, Merck and Co. Inc, Boston, MA, USA
| | - Ying Huo
- Department of Pharmacology, Cellular Pharmacology, Merck and Co. Inc, 33 Avenue Louis Pasteur, Boston, 02115, MA, USA
| | - An Chi
- Department of Chemistry, Capabilities Enhancement, Merck and Co. Inc, Boston, MA, USA
| | - Ilona Kariv
- Department of Pharmacology, Cellular Pharmacology, Merck and Co. Inc, 33 Avenue Louis Pasteur, Boston, 02115, MA, USA.
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