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Gurun B, Horton W, Murugan D, Zhu B, Leyshock P, Kumar S, Byrne KT, Vonderheide RH, Margolin AA, Mori M, Spellman PT, Coussens LM, Speed TP. An open protocol for modeling T Cell Clonotype repertoires using TCRβ CDR3 sequences. BMC Genomics 2023; 24:349. [PMID: 37365517 DOI: 10.1186/s12864-023-09424-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 05/31/2023] [Indexed: 06/28/2023] Open
Abstract
T cell receptor repertoires can be profiled using next generation sequencing (NGS) to measure and monitor adaptive dynamical changes in response to disease and other perturbations. Genomic DNA-based bulk sequencing is cost-effective but necessitates multiplex target amplification using multiple primer pairs with highly variable amplification efficiencies. Here, we utilize an equimolar primer mixture and propose a single statistical normalization step that efficiently corrects for amplification bias post sequencing. Using samples analyzed by both our open protocol and a commercial solution, we show high concordance between bulk clonality metrics. This approach is an inexpensive and open-source alternative to commercial solutions.
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Affiliation(s)
- Burcu Gurun
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
- School of Medicine, Oregon Health and Science University, Portland, OR, USA.
| | - Wesley Horton
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Dhaarini Murugan
- Department of Cell, Developmental & Cancer Biology and Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Biqing Zhu
- Computational Biology and Bioinformatics Program, Yale University, New Haven, CT, USA
| | - Patrick Leyshock
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Sushil Kumar
- Department of Cell, Developmental & Cancer Biology and Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Katelyn T Byrne
- Department of Cell, Developmental & Cancer Biology and Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Robert H Vonderheide
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Motomi Mori
- Department of Biostatistics, St. Jude's Children's Research Hospital, Memphis, TN, USA
| | - Paul T Spellman
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
| | - Lisa M Coussens
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
- Department of Cell, Developmental & Cancer Biology and Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
| | - Terence P Speed
- Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.
- School of Mathematics and Statistics, University of Melbourne, Parkville, VIC, 3010, Australia.
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2
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Gurun B, Horton W, Murugan D, Zhu B, Leyshock P, Kumar S, Byrne KT, Vonderheide RH, Margolin AA, Mori M, Spellman PT, Coussens LM, Speed TP. An open protocol for modeling T Cell Clonotype repertoires using TCRβ CDR3 sequences. Res Sq 2023:rs.3.rs-2140339. [PMID: 36824803 PMCID: PMC9949261 DOI: 10.21203/rs.3.rs-2140339/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
T cell receptor repertoires can be profiled using next generation sequencing (NGS) to measure and monitor adaptive dynamical changes in response to disease and other perturbations. Genomic DNA-based bulk sequencing is cost-effective but necessitates multiplex target amplification using multiple primer pairs with highly variable amplification efficiencies. Here, we utilize an equimolar primer mixture and propose a single statistical normalization step that efficiently corrects for amplification bias post sequencing. Using samples analyzed by both our open protocol and a commercial solution, we show high concordance between bulk clonality metrics. This approach is an inexpensive and open-source alternative to commercial solutions.
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3
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Johnson BE, Creason AL, Stommel JM, Keck JM, Parmar S, Betts CB, Blucher A, Boniface C, Bucher E, Burlingame E, Camp T, Chin K, Eng J, Estabrook J, Feiler HS, Heskett MB, Hu Z, Kolodzie A, Kong BL, Labrie M, Lee J, Leyshock P, Mitri S, Patterson J, Riesterer JL, Sivagnanam S, Somers J, Sudar D, Thibault G, Weeder BR, Zheng C, Nan X, Thompson RF, Heiser LM, Spellman PT, Thomas G, Demir E, Chang YH, Coussens LM, Guimaraes AR, Corless C, Goecks J, Bergan R, Mitri Z, Mills GB, Gray JW. An omic and multidimensional spatial atlas from serial biopsies of an evolving metastatic breast cancer. Cell Rep Med 2022; 3:100525. [PMID: 35243422 PMCID: PMC8861971 DOI: 10.1016/j.xcrm.2022.100525] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 11/15/2021] [Accepted: 01/19/2022] [Indexed: 12/15/2022]
Abstract
Mechanisms of therapeutic resistance and vulnerability evolve in metastatic cancers as tumor cells and extrinsic microenvironmental influences change during treatment. To support the development of methods for identifying these mechanisms in individual people, here we present an omic and multidimensional spatial (OMS) atlas generated from four serial biopsies of an individual with metastatic breast cancer during 3.5 years of therapy. This resource links detailed, longitudinal clinical metadata that includes treatment times and doses, anatomic imaging, and blood-based response measurements to clinical and exploratory analyses, which includes comprehensive DNA, RNA, and protein profiles; images of multiplexed immunostaining; and 2- and 3-dimensional scanning electron micrographs. These data report aspects of heterogeneity and evolution of the cancer genome, signaling pathways, immune microenvironment, cellular composition and organization, and ultrastructure. We present illustrative examples of how integrative analyses of these data reveal potential mechanisms of response and resistance and suggest novel therapeutic vulnerabilities.
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Affiliation(s)
- Brett E. Johnson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Allison L. Creason
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jayne M. Stommel
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jamie M. Keck
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Swapnil Parmar
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Courtney B. Betts
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Aurora Blucher
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Christopher Boniface
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Cancer Early Detection Advanced Research Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Elmar Bucher
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Erik Burlingame
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Computational Biology Program, Oregon Health & Science University, Portland, OR 97239, USA
| | - Todd Camp
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Koei Chin
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jennifer Eng
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Joseph Estabrook
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Heidi S. Feiler
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Michael B. Heskett
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Zhi Hu
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Annette Kolodzie
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Ben L. Kong
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Pharmacy Services, Oregon Health & Science University, Portland, OR 97239, USA
| | - Marilyne Labrie
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jinho Lee
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Patrick Leyshock
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Souraya Mitri
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Janice Patterson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Knight Diagnostic Laboratories, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jessica L. Riesterer
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Multiscale Microscopy Core, Oregon Health & Science University, Portland, OR 97239, USA
| | - Shamilene Sivagnanam
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
- Computational Biology Program, Oregon Health & Science University, Portland, OR 97239, USA
| | - Julia Somers
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Damir Sudar
- Quantitative Imaging Systems LLC, Portland, OR 97239, USA
| | - Guillaume Thibault
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Benjamin R. Weeder
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Christina Zheng
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Xiaolin Nan
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Cancer Early Detection Advanced Research Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Reid F. Thompson
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Division of Hospital and Specialty Medicine, VA Portland Healthcare System, Portland, OR 97239, USA
| | - Laura M. Heiser
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Paul T. Spellman
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA
| | - George Thomas
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Pathology & Laboratory Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Emek Demir
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Young Hwan Chang
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Computational Biology Program, Oregon Health & Science University, Portland, OR 97239, USA
| | - Lisa M. Coussens
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Alexander R. Guimaraes
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Diagnostic Radiology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Christopher Corless
- Department of Pharmacy Services, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Pathology & Laboratory Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jeremy Goecks
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Raymond Bergan
- Fred & Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Zahi Mitri
- Division of Hematology & Medical Oncology, Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Medicine, Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Gordon B. Mills
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Joe W. Gray
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
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4
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Kong BL, Johnson BE, Keck JM, Mitri S, Leyshock P, Stommel JM, Siex K, Klinger M, Zheng CL, Williams-Belizaire R, McWeeney S, Goecks J, Kolodzie A, Guimaraes AR, Thomas GV, Corless CL, Mitri ZI, Gray JW, Mills GB, Bergan RC. Abstract LB010: SMMART Program: A multi-omics tumor board with a focus on breast cancer. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-lb010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Many of the current approaches to personalized medicine rely on sequencing DNA to identify actionable mutations. However, growing evidence suggests that a multi-omic approach to more broadly assess biology is needed to improve patient outcomes. We have implemented a workflow for tissue acquisition, multi-omic clinical testing, and correlated computational biology analysis, within the Serial Measurements of Molecular and Architectural Responses to Therapy (SMMART) Program (Mitri et al, J Transl Med 2018). We report biopsy metrics, CLIA analytics utilized, the operation of a multi-omics tumor board, and clinical outcomes in metastatic breast cancer patients. A detailed clinical history of each patient was obtained, including demographics, tumor type, treatment and response to prior therapies, imaging, and blood tumor biomarkers. A comprehensive set of clinical assays was performed on newly obtained tumor biopsies, including immunohistochemistry (ER, PR, HER2, AR, BCL-2, and PD-L1), a targeted next-generation sequencing panel covering 225 genes (GeneTrails® Comprehensive Solid Tumor Panel), whole exome sequencing (Tempus xE), whole transcriptomic sequencing (Illumina TruSeq RNA exome), and a multiplex protein analysis of 22 key cancer proteins and phosphoproteins on the Nanostring platform (NanoString Vantage 3D™ Solid Tumor Panel). The integrated clinical and analytical information was made available to the multidisciplinary SMMART Clinical Tumor Board that provided treatment recommendations; the final treatment plan was at the discretion of the treating physician. Between 1/1/2017-1/1/2020, 53 breast cancer patients were consented. Seven screen-failed due to a lack of sites amenable to biopsy and 8 were actively co-consented to other clinical trials. The remaining 38 patients are included in this preliminary report. A total of 63 biopsies were collected from lymph node, liver, bone, soft tissue, lung, skin, breast, and brain. Serial biopsies (≥2) were obtained for 15 patients. Analytics were generated in 93.7% of biopsies. Tumor boards were held for 15 patients (17 total sessions). The experience and information gathered thus far have yielded the following unique cases: (1) single patient analysis of omics, imaging, and response over 42 months, (2) identification of an ERBB3 mutation with downstream pathway activation that responded to HER2-targeted therapy, and (3) clinically significant variation in hormonal and HER2 receptor status over time. We will provide an analysis across the 38 patients of treatment outcomes, analytics information content, biological changes observed through serial biopsies, and tumor board interventions. We demonstrate the feasibility of implementing a deep, real-time analytics platform for metastatic breast cancer patients that can provide new insight into therapeutic opportunities. The observed clinical responses support further use and investigation of this approach.
Citation Format: Ben L. Kong, Brett E. Johnson, Jamie M. Keck, Souraya Mitri, Patrick Leyshock, Jayne M. Stommel, Kiara Siex, Marlana Klinger, Christina L. Zheng, Rochelle Williams-Belizaire, Shannon McWeeney, Jeremy Goecks, Annette Kolodzie, Alexander R. Guimaraes, George V. Thomas, Christopher L. Corless, Zahi I. Mitri, Joe W. Gray, Gordon B. Mills, Raymond C. Bergan. SMMART Program: A multi-omics tumor board with a focus on breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr LB010.
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Affiliation(s)
- Ben L. Kong
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | - Brett E. Johnson
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | - Jamie M. Keck
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | - Souraya Mitri
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | - Patrick Leyshock
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | - Jayne M. Stommel
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | - Kiara Siex
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | - Marlana Klinger
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | - Christina L. Zheng
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | | | - Shannon McWeeney
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | - Jeremy Goecks
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | - Annette Kolodzie
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | | | - George V. Thomas
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | | | - Zahi I. Mitri
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | - Joe W. Gray
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | - Gordon B. Mills
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
| | - Raymond C. Bergan
- Oregon Health & Science University Knight Cancer Institute, Portland, OR
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5
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Keck JM, Parmar S, Kong B, Mitri Z, Corless C, Kolodzie A, Creason A, Goecks J, Leyshock P, Siex K, Johnson BE, Patterson J, Heiser L, Olson A, Viehdorfer M, Mayfield G, Laverdure J, Gray JW, Mills GB, Bergan RC. Abstract 4929: Leveraging multi-omics tumor boards for precision medicine in the OHSU SMMART Treatments Program. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-4929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Comprehensive characterization of an individual’s cancer using multi-omic analyses and an expanding list of targeted therapies is providing an opportunity to uncover therapeutic vulnerabilities and rationally target multiple driving alterations in the tumor. To leverage this opportunity, a multi-disciplinary team is required to unravel the complexity of tumor behavior and genomic variant information, integrate data from multi-omic assays, and exploit potential synergies from combination therapy while avoiding toxicity, all of which occurs within the context of the patient’s clinical history and comorbidities. We report the preliminary experience of OHSU Knight Cancer Institute’s SMMART (Serial Measurements of Molecular and Architectural Responses to Therapy) Treatments Program Multi-omics Tumor Board (MTB). The role of the SMMART MTB, to date, has been to develop and optimize procedures in a feasibility protocol for future application in the clinical setting where we will provide personalized combinatorial treatment suggestions. Here we report our preliminary experience over the last 15 months with multi-disciplinary tumor boards for metastatic breast cancer. A deep analysis of data, in many cases from serial biopsies, enabled identification of personalized, multi-targeted therapy. Clinical and laboratory data are explored individually and collectively by oncologists, oncology pharmacists, molecular pathologists, cancer biologists, and computational biologists. Data from CLIA-certified analytics include, but are not limited to, a 124 gene targeted panel, whole exome sequencing, MSI, gene-fusion, RNAseq, and clinical IHC assays that provide status information about receptors (ER/PR/AR/HER2), proliferation rate, and tumor immunogenicity along with reflexive assays for expression of relevant proteins such as p16, RB, and PTEN. A customized LabKey® system allows for visual display of a patient’s clinical timeline with information about diagnoses, treatments, biopsies events, radiographic changes, and blood biomarkers; thereby providing MTB participants with a holistic view of the patient’s case summary. Our experience with several example breast cancer case scenarios identified therapeutic vulnerabilities that would not have been considered by a standard clinical tumor board with genomic data alone. Recent cases have included observations such as HER2 status switching, a rare pathogenic germline mutation, high PD-L1 expression, and gained expression of the androgen receptor. These cases further emphasize the value and importance of MTB discussions to oncologists for interpreting and analyzing complex multi-omic data and uncovering therapeutic options for patients. This experience will be utilized in the future for employing SMMART MTBs in a clinical setting as a platform to triage patients into different multi-targeted combinatorial treatment options.
Citation Format: Jamie M. Keck, Swapnil Parmar, Ben Kong, Zahi Mitri, Christopher Corless, Annette Kolodzie, Allison Creason, Jeremy Goecks, Patrick Leyshock, Kiara Siex, Brett E. Johnson, Janice Patterson, Laura Heiser, Anastasiya Olson, Matt Viehdorfer, Georgia Mayfield, Jennifer Laverdure, Joe W. Gray, Gordon B. Mills, Raymond C. Bergan. Leveraging multi-omics tumor boards for precision medicine in the OHSU SMMART Treatments Program [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4929.
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Affiliation(s)
| | | | - Ben Kong
- OHSU Knight Cancer Inst., PORTLAND, OR
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6
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Medler TR, Murugan D, Horton W, Kumar S, Cotechini T, Forsyth AM, Leyshock P, Leitenberger JJ, Kulesz-Martin M, Margolin AA, Werb Z, Coussens LM. Complement C5a Fosters Squamous Carcinogenesis and Limits T Cell Response to Chemotherapy. Cancer Cell 2018; 34:561-578.e6. [PMID: 30300579 PMCID: PMC6246036 DOI: 10.1016/j.ccell.2018.09.003] [Citation(s) in RCA: 105] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 07/17/2018] [Accepted: 09/05/2018] [Indexed: 01/11/2023]
Abstract
Complement is a critical component of humoral immunity implicated in cancer development; however, its biological contributions to tumorigenesis remain poorly understood. Using the K14-HPV16 transgenic mouse model of squamous carcinogenesis, we report that urokinase (uPA)+ macrophages regulate C3-independent release of C5a during premalignant progression, which in turn regulates protumorigenic properties of C5aR1+ mast cells and macrophages, including suppression of CD8+ T cell cytotoxicity. Therapeutic inhibition of C5aR1 via the peptide antagonist PMX-53 improved efficacy of paclitaxel chemotherapy associated with increased presence and cytotoxic properties of CXCR3+ effector memory CD8+ T cells in carcinomas, dependent on both macrophage transcriptional programming and IFNγ. Together, these data identify C5aR1-dependent signaling as an important immunomodulatory program in neoplastic tissue tractable for combinatorial cancer immunotherapy.
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Affiliation(s)
- Terry R Medler
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Knight Cancer Research Building Room 3030, 2720 SW Moody Avenue, #KC-CDCB, Portland, OR 97201-5042, USA
| | - Dhaarini Murugan
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Knight Cancer Research Building Room 3030, 2720 SW Moody Avenue, #KC-CDCB, Portland, OR 97201-5042, USA
| | - Wesley Horton
- Department of Biomedical Engineering, Program in Computational Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Sushil Kumar
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Knight Cancer Research Building Room 3030, 2720 SW Moody Avenue, #KC-CDCB, Portland, OR 97201-5042, USA
| | - Tiziana Cotechini
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Knight Cancer Research Building Room 3030, 2720 SW Moody Avenue, #KC-CDCB, Portland, OR 97201-5042, USA
| | - Alexandra M Forsyth
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Knight Cancer Research Building Room 3030, 2720 SW Moody Avenue, #KC-CDCB, Portland, OR 97201-5042, USA
| | - Patrick Leyshock
- Department of Biomedical Engineering, Program in Computational Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Justin J Leitenberger
- Department of Dermatology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Molly Kulesz-Martin
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Knight Cancer Research Building Room 3030, 2720 SW Moody Avenue, #KC-CDCB, Portland, OR 97201-5042, USA; Department of Dermatology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Adam A Margolin
- Department of Biomedical Engineering, Program in Computational Biology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Zena Werb
- Department of Anatomy, Helen Diller Family Comprehensive Cancer Center, Parker Immunotherapy Cancer Institute, University of California, San Francisco, CA 94143, USA
| | - Lisa M Coussens
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Knight Cancer Research Building Room 3030, 2720 SW Moody Avenue, #KC-CDCB, Portland, OR 97201-5042, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA.
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7
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Tsujikawa T, Kumar S, Borkar RN, Azimi V, Thibault G, Chang YH, Balter A, Kawashima R, Choe G, Sauer D, El Rassi E, Clayburgh DR, Kulesz-Martin MF, Lutz ER, Zheng L, Jaffee EM, Leyshock P, Margolin AA, Mori M, Gray JW, Flint PW, Coussens LM. Quantitative Multiplex Immunohistochemistry Reveals Myeloid-Inflamed Tumor-Immune Complexity Associated with Poor Prognosis. Cell Rep 2017; 19:203-217. [PMID: 28380359 DOI: 10.1016/j.celrep.2017.03.037] [Citation(s) in RCA: 370] [Impact Index Per Article: 52.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Revised: 02/04/2017] [Accepted: 03/10/2017] [Indexed: 12/11/2022] Open
Abstract
Here, we describe a multiplexed immunohistochemical platform with computational image processing workflows, including image cytometry, enabling simultaneous evaluation of 12 biomarkers in one formalin-fixed paraffin-embedded tissue section. To validate this platform, we used tissue microarrays containing 38 archival head and neck squamous cell carcinomas and revealed differential immune profiles based on lymphoid and myeloid cell densities, correlating with human papilloma virus status and prognosis. Based on these results, we investigated 24 pancreatic ductal adenocarcinomas from patients who received neoadjuvant GVAX vaccination and revealed that response to therapy correlated with degree of mono-myelocytic cell density and percentages of CD8+ T cells expressing T cell exhaustion markers. These data highlight the utility of in situ immune monitoring for patient stratification and provide digital image processing pipelines to the community for examining immune complexity in precious tissue sections, where phenotype and tissue architecture are preserved to improve biomarker discovery and assessment.
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Affiliation(s)
- Takahiro Tsujikawa
- Department of Cell, Developmental & Cancer Biology, Oregon Health and Science University, Portland, OR 97239, USA; Department of Otolaryngology-Head and Neck Surgery, Oregon Health and Science University, Portland, OR 97239, USA
| | - Sushil Kumar
- Department of Cell, Developmental & Cancer Biology, Oregon Health and Science University, Portland, OR 97239, USA
| | - Rohan N Borkar
- Intel Health and Life Sciences, Intel Corporation, Hillsboro, OR 97124, USA
| | - Vahid Azimi
- Intel Health and Life Sciences, Intel Corporation, Hillsboro, OR 97124, USA
| | - Guillaume Thibault
- Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA
| | - Young Hwan Chang
- Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA; Department of Computational Biology, Oregon Health and Science University, Portland, OR 97239, USA
| | - Ariel Balter
- Department of Computational Biology, Oregon Health and Science University, Portland, OR 97239, USA
| | - Rie Kawashima
- Department of Cell, Developmental & Cancer Biology, Oregon Health and Science University, Portland, OR 97239, USA
| | - Gina Choe
- Department of Cell, Developmental & Cancer Biology, Oregon Health and Science University, Portland, OR 97239, USA
| | - David Sauer
- Department of Pathology, Oregon Health and Science University, Portland, OR 97239, USA
| | - Edward El Rassi
- Department of Otolaryngology-Head and Neck Surgery, Oregon Health and Science University, Portland, OR 97239, USA
| | - Daniel R Clayburgh
- Department of Otolaryngology-Head and Neck Surgery, Oregon Health and Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA
| | - Molly F Kulesz-Martin
- Department of Cell, Developmental & Cancer Biology, Oregon Health and Science University, Portland, OR 97239, USA; Department of Dermatology, Oregon Health and Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA
| | - Eric R Lutz
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; The Sidney Kimmel Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; The Skip Viragh Center for Pancreatic Cancer Research and Clinical Care, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Lei Zheng
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; The Sidney Kimmel Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; The Skip Viragh Center for Pancreatic Cancer Research and Clinical Care, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Elizabeth M Jaffee
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; The Sidney Kimmel Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; The Skip Viragh Center for Pancreatic Cancer Research and Clinical Care, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Patrick Leyshock
- Department of Computational Biology, Oregon Health and Science University, Portland, OR 97239, USA
| | - Adam A Margolin
- Department of Computational Biology, Oregon Health and Science University, Portland, OR 97239, USA; OHSU Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA
| | - Motomi Mori
- School of Public Health, Oregon Health and Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA
| | - Joe W Gray
- Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA; OHSU Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA
| | - Paul W Flint
- Department of Otolaryngology-Head and Neck Surgery, Oregon Health and Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA
| | - Lisa M Coussens
- Department of Cell, Developmental & Cancer Biology, Oregon Health and Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA.
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