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Pezeshki A, Cheville JC, Florio AB, Leibovich BC, Vasmatzis G. Evaluation of tumor response to immune checkpoint inhibitors by a 3D immunotumoroid model. Front Immunol 2024; 15:1356144. [PMID: 38605943 PMCID: PMC11007648 DOI: 10.3389/fimmu.2024.1356144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/18/2024] [Indexed: 04/13/2024] Open
Abstract
Background Only 20 percent of renal and bladder cancer patients will show a significant response to immune checkpoint inhibitor (ICI) therapy, and no test currently available accurately predicts ICI response. Methods We developed an "immunotumoroid" cell model system that recapitulates the tumor, its microenvironment, and necessary immune system components in patient-derived spheroids to enable ex vivo assessment of tumor response to ICI therapy. Immunotumoroids were developed from surgically resected renal cell carcinomas and bladder carcinomas selected for high tumor-infiltrating lymphocytes (TILs) and survived more than a month without media exchange. Immunohistochemistry was used to detect immune and non-immune cells in cryopreserved source tumors and the resulting immunotumoroids. Immunotumoroid response to ICIs (nivolumab, pembrolizumab, and durvalumab) and chemotherapy (cisplatin, gemcitabine, and paclitaxel) was monitored in real-time with Cytotox Red staining in an Incucyte device, and the immunotumoroid response was compared to retrospective clinical drug responses. Results Six of the 13 cases tested grew viable immunotumoroid models, with failed cases attributed to extensive tumor tissue necrosis or excess lymphocytes preventing spheroid formation. One successfully cultured case was excluded from the study due to low TIL infiltration (<5%) in the primary tumor sample. The five remaining models contained immune cells (CD4+ and CD8+ T cells, and macrophages), non-immune cells (fibroblasts), and tumor cells. Chemotherapy and ICI drugs were tested in immunotumoroids from 5 cases and compared to clinical outcomes where data was available. Four/five models showed cell killing in response to chemotherapy and two/five showed sensitivity to ICI. In three cases, the immunotumoroid model accurately predicted the patient's clinical response or non-response to ICIs or chemotherapy. Conclusion Our immunotumoroid model replicated the multicellular nature of the tumor microenvironment sufficiently for preclinical ICI screening. This model could enable valuable insights into the complex interactions between cancer cells, the immune system, and the microenvironment. This is a feasibility study on a small number of cases, and additional studies with larger case numbers are required including correlation with clinical response.
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Affiliation(s)
- Abdulmohammad Pezeshki
- Biomarker Discovery, Mayo Clinic, Rochester, MN, United States
- Department of Molecular Medicine, Mayo Clinic, Rochester, MN, United States
| | - John C. Cheville
- Biomarker Discovery, Mayo Clinic, Rochester, MN, United States
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Angela B. Florio
- Biomarker Discovery, Mayo Clinic, Rochester, MN, United States
- Department of Molecular Medicine, Mayo Clinic, Rochester, MN, United States
| | | | - George Vasmatzis
- Biomarker Discovery, Mayo Clinic, Rochester, MN, United States
- Department of Molecular Medicine, Mayo Clinic, Rochester, MN, United States
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Zhu Y, Tang S, Yuan Q, Fu J, He J, Liu Z, Zhao X, Li Y, Zhao Y, Zhang Y, Zhang X, Zhang Y, Zhu Y, Wang W, Zheng B, Wu R, Wu T, Yang S, Qiu X, Shen S, Hu J, Chen L, Wang Y, Wang H, Gao D, Chen L. Integrated characterization of hepatobiliary tumor organoids provides a potential landscape of pharmacogenomic interactions. Cell Rep Med 2024; 5:101375. [PMID: 38278146 PMCID: PMC10897507 DOI: 10.1016/j.xcrm.2023.101375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 08/20/2023] [Accepted: 12/15/2023] [Indexed: 01/28/2024]
Abstract
Despite considerable efforts to identify human liver cancer genomic alterations that might unveil druggable targets, the systematic translation of multiomics data remains challenging. Here, we report success in long-term culture of 64 patient-derived hepatobiliary tumor organoids (PDHOs) from a Chinese population. A divergent response to 265 metabolism- and epigenetics-related chemicals and 36 anti-cancer drugs is observed. Integration of the whole genome, transcriptome, chromatin accessibility profiles, and drug sensitivity results of 64 clinically relevant drugs defines over 32,000 genome-drug interactions. RUNX1 promoter mutation is associated with an increase in chromatin accessibility and a concomitant gene expression increase, promoting a cluster of drugs preferentially sensitive in hepatobiliary tumors. These results not only provide an annotated PDHO biobank of human liver cancer but also suggest a systematic approach for obtaining a comprehensive understanding of the gene-regulatory network of liver cancer, advancing the applications of potential personalized medicine.
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Affiliation(s)
- Yanjing Zhu
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China; National Center for Liver Cancer, Shanghai 200438, China
| | - Shijie Tang
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Qiuyue Yuan
- CEMS, NCMIS, HCMS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China; School of Mathematics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100049, China
| | - Jing Fu
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Juan He
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Zhuang Liu
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaofang Zhao
- Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yunguang Li
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yan Zhao
- Institute of Metabolism and Integrative Biology and School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Yani Zhang
- Institute of Metabolism and Integrative Biology and School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Xiaoyu Zhang
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yangqianwen Zhang
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Yiqin Zhu
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Wenwen Wang
- Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Bo Zheng
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Rui Wu
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China; Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Tong Wu
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Shuai Yang
- Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Xinyao Qiu
- Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Siyun Shen
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Ji Hu
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Luonan Chen
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China; Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 330106, China; Guangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai, Guangdong 519031, China.
| | - Yong Wang
- CEMS, NCMIS, HCMS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China; School of Mathematics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100049, China; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China; Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 330106, China.
| | - Hongyang Wang
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China; National Center for Liver Cancer, Shanghai 200438, China; Institute of Metabolism and Integrative Biology and School of Life Sciences, Fudan University, Shanghai 200438, China; Shanghai Key Laboratory of Hepatobiliary Tumor Biology, Shanghai 200438, China.
| | - Dong Gao
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
| | - Lei Chen
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China; National Center for Liver Cancer, Shanghai 200438, China; Key Laboratory of Signaling Regulation and Targeting Therapy of Liver Cancer, Ministry of Education, Shanghai 200438, China.
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3
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Bae K, Kim JH, Lee JY, Kong SY, Kim YH, Kim S, Yoon KA. Oncogenic fusion of BCAR4 activates EGFR signaling and is sensitive to dual inhibition of EGFR/HER2. Front Mol Biosci 2022; 9:952651. [PMID: 36081848 PMCID: PMC9445485 DOI: 10.3389/fmolb.2022.952651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 07/19/2022] [Indexed: 11/05/2022] Open
Abstract
We previously reported CD63-BCAR4 fusion as a novel oncogene that significantly enhanced cell migration and metastasis in lung cancer. To identify effective inhibitors of metastatic activity induced by BCAR4 fusion, we screened a drug library of 381 FDA-approved compounds. The effect of drugs on cell migration was evaluated by monitoring wound healing. Drugs that decreased the cellular mobility of fusion-overexpressing cells compared with that of control cells were selected as candidates. Library screening revealed that erlotinib, canertinib, and lapatinib demonstrated inhibitory effects on cell migration. Activation of the EGFR signaling pathway was detected after ectopic expression of CD63-BCAR4 in normal bronchial epithelial cells, as observed by the increased phosphorylation of tyrosine residues in the EGFR protein. We also confirmed increased levels of the phosphorylated EGFR protein in resected tumors from mice injected with CD63-BCAR4 overexpressing cells. Tyrosine kinase inhibitors (TKIs) of the EGFR family significantly inhibit the migration of BCAR4 fusion-overexpressing cells and induce apoptosis at high concentrations. Among the EGFR family TKIs, canertinib, a dual EGFR/HER2 inhibitor, showed the best inhibitory effect on the migration and viability of BCAR4 fusion-overexpressing cells. We examined the effect of canertinib in vivo using a mouse xenograft model. Oral administration of canertinib to xenografted mice reduced tumor growth induced by the CD63-BCAR4 fusion gene. In addition, canertinib treatment restored E-cadherin expression and reduced the expression of epithelial-mesenchymal transition regulatory factors such as Slug and Snail. Taken together, these results suggest that EGFR/HER2 inhibitors are potential therapeutic options for BCAR4 fusion-harboring lung cancer patients, even in the absence of EGFR mutations.
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Affiliation(s)
- Kieun Bae
- College of Veterinary Medicine, Konkuk University, Seoul, South Korea
| | - Jin Hee Kim
- College of Health Science, Cheongju University, Cheongju, South Korea
| | - Ja Young Lee
- College of Veterinary Medicine, Konkuk University, Seoul, South Korea
| | - Sun-Young Kong
- Research Institute, National Cancer Center, Goyang, South Korea,National Cancer Center Graduate School of Cancer Science and Policy, Goyang, South Korea
| | - Yun-Hee Kim
- Research Institute, National Cancer Center, Goyang, South Korea,National Cancer Center Graduate School of Cancer Science and Policy, Goyang, South Korea
| | - Sunshin Kim
- Research Institute, National Cancer Center, Goyang, South Korea
| | - Kyong-Ah Yoon
- College of Veterinary Medicine, Konkuk University, Seoul, South Korea,*Correspondence: Kyong-Ah Yoon,
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4
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Ganguli A, Mostafa A, Saavedra C, Kim Y, Le P, Faramarzi V, Feathers RW, Berger J, Ramos-Cruz KP, Adeniba O, Diaz GJP, Drnevich J, Wright CL, Hernandez AG, Lin W, Smith AM, Kosari F, Vasmatzis G, Anastasiadis PZ, Bashir R. Three-dimensional microscale hanging drop arrays with geometric control for drug screening and live tissue imaging. SCIENCE ADVANCES 2021; 7:7/17/eabc1323. [PMID: 33893093 PMCID: PMC8064630 DOI: 10.1126/sciadv.abc1323] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 03/05/2021] [Indexed: 05/09/2023]
Abstract
Existing three-dimensional (3D) culture techniques are limited by trade-offs between throughput, capacity for high-resolution imaging in living state, and geometric control. Here, we introduce a modular microscale hanging drop culture where simple design elements allow high replicates for drug screening, direct on-chip real-time or high-resolution confocal microscopy, and geometric control in 3D. Thousands of spheroids can be formed on our microchip in a single step and without any selective pressure from specific matrices. Microchip cultures from human LN229 glioblastoma and patient-derived mouse xenograft cells retained genomic alterations of originating tumors based on mate pair sequencing. We measured response to drugs over time with real-time microscopy on-chip. Last, by engineering droplets to form predetermined geometric shapes, we were able to manipulate the geometry of cultured cell masses. These outcomes can enable broad applications in advancing personalized medicine for cancer and drug discovery, tissue engineering, and stem cell research.
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Affiliation(s)
- A Ganguli
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - A Mostafa
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - C Saavedra
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Y Kim
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - P Le
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - V Faramarzi
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - R W Feathers
- Mayo-Illinois Alliance for Technology-Based Healthcare, Urbana, IL, USA
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL 32224, USA
| | - J Berger
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - K P Ramos-Cruz
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - O Adeniba
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - G J Pagan Diaz
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - J Drnevich
- High-Performance Biological Computing, Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - C L Wright
- DNA Services Lab, Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - A G Hernandez
- DNA Services Lab, Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - W Lin
- Mayo-Illinois Alliance for Technology-Based Healthcare, Urbana, IL, USA
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL 32224, USA
| | - A M Smith
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Biomedical and Translational Sciences, Carle Illinois College of Medicine, Urbana, IL 61820, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - F Kosari
- Mayo-Illinois Alliance for Technology-Based Healthcare, Urbana, IL, USA
- Department of Molecular Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - G Vasmatzis
- Mayo-Illinois Alliance for Technology-Based Healthcare, Urbana, IL, USA
- Department of Molecular Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - P Z Anastasiadis
- Mayo-Illinois Alliance for Technology-Based Healthcare, Urbana, IL, USA.
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL 32224, USA
| | - R Bashir
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Mayo-Illinois Alliance for Technology-Based Healthcare, Urbana, IL, USA
- Department of Biomedical and Translational Sciences, Carle Illinois College of Medicine, Urbana, IL 61820, USA
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5
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Murphy SJ, Levy MJ, Smadbeck JB, Karagouga G, McCune AF, Harris FR, Udell JB, Johnson SH, Kerr SE, Cheville JC, Kipp BR, Vasmatzis G, Gleeson FC. Theragnostic chromosomal rearrangements in treatment-naive pancreatic ductal adenocarcinomas obtained via endoscopic ultrasound. J Cell Mol Med 2021; 25:4110-4123. [PMID: 33704908 PMCID: PMC8051743 DOI: 10.1111/jcmm.16381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 01/29/2021] [Accepted: 02/03/2021] [Indexed: 12/15/2022] Open
Abstract
A crucial mutational mechanism in malignancy is structural variation, in which chromosomal rearrangements alter gene functions that drive cancer progression. Herein, the presence and pattern of structural variations were investigated in twelve prospectively acquired treatment‐naïve pancreatic cancers specimens obtained via endoscopic ultrasound (EUS). In many patients, this diagnostic biopsy procedure and specimen is the only opportunity to identify somatic clinically relevant actionable alterations that may impact their care and outcome. Specialized mate pair sequencing (MPseq) provided genome‐wide structural variance analysis (SVA) with a view to identifying prognostic markers and possible therapeutic targets. MPseq was successfully performed on all specimens, identifying highly rearranged genomes with complete SVA on all specimens with > 20% tumour content. SVA identified chimeric fusion proteins and potentially immunogenic readthrough transcripts, change of function truncations, gains and losses of key genes linked to tumour progression. Complex localized rearrangements, termed chromoanagenesis, with broad pattern heterogeneity were observed in 10 (83%) specimens, impacting multiple genes with diverse cellular functions that could influence theragnostic evaluation and responsiveness to immunotherapy regimens. This study indicates that genome‐wide MPseq can be successfully performed on very limited clinically EUS obtained specimens for chromosomal rearrangement detection and potential theragnostic targets.
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Affiliation(s)
- Stephen J Murphy
- Biomarker Discovery Laboratory, Centre for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Michael J Levy
- Division of Gastroenterology & Hepatology, Mayo Clinic, Rochester, MN, USA
| | - James B Smadbeck
- Biomarker Discovery Laboratory, Centre for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Giannoula Karagouga
- Biomarker Discovery Laboratory, Centre for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Alexa F McCune
- Biomarker Discovery Laboratory, Centre for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Faye R Harris
- Biomarker Discovery Laboratory, Centre for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Julia B Udell
- Biomarker Discovery Laboratory, Centre for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Sarah H Johnson
- Biomarker Discovery Laboratory, Centre for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Sarah E Kerr
- Department of Anatomic Pathology, Mayo Clinic, Rochester, MN, USA
| | - John C Cheville
- Biomarker Discovery Laboratory, Centre for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.,Department of Anatomic Pathology, Mayo Clinic, Rochester, MN, USA
| | - Benjamin R Kipp
- Department of Anatomic Pathology, Mayo Clinic, Rochester, MN, USA
| | - George Vasmatzis
- Biomarker Discovery Laboratory, Centre for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Ferga C Gleeson
- Division of Gastroenterology & Hepatology, Mayo Clinic, Rochester, MN, USA
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6
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Murphy SJ, Harris FR, Smadbeck JB, Serla V, Karagouga G, Johnson SH, Kosari F, Pierson KE, Bungum AO, Edell ES, Mansfield AS, Wigle DA, Kipp BR, Vasmatzis G, Aubry MC. Optimizing clinical cytology touch preparations for next generation sequencing. Genomics 2020; 112:5313-5323. [PMID: 33144219 DOI: 10.1016/j.ygeno.2020.10.031] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 10/14/2020] [Accepted: 10/28/2020] [Indexed: 12/26/2022]
Abstract
Intraoperative diagnosis is routinely performed on cytology touch preparations (TPs) from core needle biopsies (CNBs). Current interest promotes their utility as an important source of patient tissue for clinical genomic testing. Herein we present whole genome structural variant analysis (SVA) from mate-pair sequencing (MPseq) and whole exome sequencing (WES) mutation calling in DNA directly whole genome amplified (WGA) from TPs. Chromosomal copy changes and somatic DNA junction detection from MPseq of TPs were highly consistent with associated CNBs and bulk resected tissues in all cases. While increased frequency coverage noise from limitations of amplification of limited sample input was significant, this was effectively compensated by natural tumor enrichment during the TP process, which also enhanced variant detection and loss of heterozygosity evaluations from WES. This novel TP methodology enables expanded utility of frequently limited CNB for both clinical and research genomic testing.
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Affiliation(s)
- Stephen J Murphy
- Center for Individualized Medicine, Bio-marker Discovery Program, Mayo Clinic, Rochester, MN, United States.
| | - Faye R Harris
- Center for Individualized Medicine, Bio-marker Discovery Program, Mayo Clinic, Rochester, MN, United States
| | - James B Smadbeck
- Center for Individualized Medicine, Bio-marker Discovery Program, Mayo Clinic, Rochester, MN, United States
| | - Vishnu Serla
- Center for Individualized Medicine, Bio-marker Discovery Program, Mayo Clinic, Rochester, MN, United States; Departments of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Giannoula Karagouga
- Center for Individualized Medicine, Bio-marker Discovery Program, Mayo Clinic, Rochester, MN, United States
| | - Sarah H Johnson
- Center for Individualized Medicine, Bio-marker Discovery Program, Mayo Clinic, Rochester, MN, United States
| | - Farhad Kosari
- Center for Individualized Medicine, Bio-marker Discovery Program, Mayo Clinic, Rochester, MN, United States
| | - Karlyn E Pierson
- Departments of Thoracic Surgery, Mayo Clinic, Rochester, MN, United States
| | - Aaron O Bungum
- Departments of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, United States
| | - Eric S Edell
- Departments of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, United States
| | | | - Dennis A Wigle
- Departments of Thoracic Surgery, Mayo Clinic, Rochester, MN, United States
| | - Benjamin R Kipp
- Departments of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - George Vasmatzis
- Center for Individualized Medicine, Bio-marker Discovery Program, Mayo Clinic, Rochester, MN, United States.
| | - Marie Christine Aubry
- Departments of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.
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