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Zhu M, Chen X, Chi M, Wu Y, Zhang M, Gao S. Spontaneous-stimulated Raman co-localization dual-modal analysis approach for efficient identification of tumor cells. Talanta 2024; 277:126297. [PMID: 38823327 DOI: 10.1016/j.talanta.2024.126297] [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: 03/21/2024] [Revised: 05/01/2024] [Accepted: 05/20/2024] [Indexed: 06/03/2024]
Abstract
The study of highly heterogeneous tumor cells, especially acute myeloid leukemia (AML) cells, usually relies on invasive analytical methods such as morphology, immunology, cytogenetics, and molecular biology classification, which are complex and time-consuming to perform. Mortality is high if patients are not diagnosed in a timely manner, so rapid label-free analysis of gene expression and metabolites within single-cell substructures is extremely important for clinical diagnosis and treatment. As a label-free and non-destructive vibrational detection technique, spontaneous Raman scattering provides molecular information across the full spectrum of the cell but lacks rapid imaging localization capabilities. In contrast, stimulated Raman scattering (SRS) provides a high-speed, high-resolution imaging view that can offer real-time subcellular localization assistance for spontaneous Raman spectroscopic detection. In this paper, we combined multi-color SRS microscopy with spontaneous Raman to develop a co-localized Raman imaging and spectral detection system (CRIS) for high-speed chemical imaging and quantitative spectral analysis of subcellular structures. Combined with multivariate statistical analysis methods, CRIS efficiently differentiated AML from normal leukocytes with an accuracy of 98.1 % and revealed the differences in the composition of nuclei and cytoplasm of AML relative to normal leukocytes. Compared to conventional Raman spectroscopy blind sampling without imaging localization, CRIS increased the efficiency of single-cell detection by at least three times. In addition, using the same approach for further identification of AML subtypes M2 and M3, we demonstrated that intracytoplasmic differential expression of proteins is a marker for their rapid and accurate classifying. CRIS analysis methods are expected to pave the way for clinical translation of rapid tumor cell identification.
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Affiliation(s)
- Mingyao Zhu
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Applied Optics, Changchun, Jilin, 130033, China; Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun, Jilin, 130033, China
| | - Xing Chen
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Applied Optics, Changchun, Jilin, 130033, China; Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun, Jilin, 130033, China
| | - Mingbo Chi
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Applied Optics, Changchun, Jilin, 130033, China; Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun, Jilin, 130033, China.
| | - Yihui Wu
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Applied Optics, Changchun, Jilin, 130033, China; Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun, Jilin, 130033, China.
| | - Ming Zhang
- Department of Hematology, The First Bethune Hospital, Jilin University, Changchun, Jilin, 130033, China
| | - Sujun Gao
- Department of Hematology, The First Bethune Hospital, Jilin University, Changchun, Jilin, 130033, China
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Qahwaji R, Ashankyty I, Sannan NS, Hazzazi MS, Basabrain AA, Mobashir M. Pharmacogenomics: A Genetic Approach to Drug Development and Therapy. Pharmaceuticals (Basel) 2024; 17:940. [PMID: 39065790 PMCID: PMC11279827 DOI: 10.3390/ph17070940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 07/03/2024] [Accepted: 07/10/2024] [Indexed: 07/28/2024] Open
Abstract
The majority of the well-known pharmacogenomics research used in the medical sciences contributes to our understanding of medication interactions. It has a significant impact on treatment and drug development. The broad use of pharmacogenomics is required for the progress of therapy. The main focus is on how genes and an intricate gene system affect the body's reaction to medications. Novel biomarkers that help identify a patient group that is more or less likely to respond to a certain medication have been discovered as a result of recent developments in the field of clinical therapeutics. It aims to improve customized therapy by giving the appropriate drug at the right dose at the right time and making sure that the right prescriptions are issued. A combination of genetic, environmental, and patient variables that impact the pharmacokinetics and/or pharmacodynamics of medications results in interindividual variance in drug response. Drug development, illness susceptibility, and treatment efficacy are all impacted by pharmacogenomics. The purpose of this work is to give a review that might serve as a foundation for the creation of new pharmacogenomics applications, techniques, or strategies.
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Affiliation(s)
- Rowaid Qahwaji
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 22254, Saudi Arabia; (R.Q.); (I.A.); (M.S.H.); (A.A.B.)
- Hematology Research Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Ibraheem Ashankyty
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 22254, Saudi Arabia; (R.Q.); (I.A.); (M.S.H.); (A.A.B.)
| | - Naif S. Sannan
- College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Ar Rimayah, Riyadh 14611, Saudi Arabia;
- King Abdullah International Medical Research Center, Jeddah 22384, Saudi Arabia
| | - Mohannad S. Hazzazi
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 22254, Saudi Arabia; (R.Q.); (I.A.); (M.S.H.); (A.A.B.)
- Hematology Research Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Ammar A. Basabrain
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 22254, Saudi Arabia; (R.Q.); (I.A.); (M.S.H.); (A.A.B.)
- Hematology Research Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Mohammad Mobashir
- Department of Biomedical Laboratory Science, Faculty of Natural Sciences, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
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Rolfo CD, Madison RW, Pasquina LW, Brown DW, Huang Y, Hughes JD, Graf RP, Oxnard GR, Husain H. Measurement of ctDNA Tumor Fraction Identifies Informative Negative Liquid Biopsy Results and Informs Value of Tissue Confirmation. Clin Cancer Res 2024; 30:2452-2460. [PMID: 38526394 PMCID: PMC11145175 DOI: 10.1158/1078-0432.ccr-23-3321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 01/23/2024] [Accepted: 03/21/2024] [Indexed: 03/26/2024]
Abstract
PURPOSE Liquid biopsy (LBx) for tumor profiling is increasingly used, but concerns remain regarding negative results. A lack of results may truly reflect tumor genomics, or it may be a false negative that would be clarified by tissue testing. A method of distinguishing between these scenarios could help clarify when follow-on tissue testing is valuable. EXPERIMENTAL DESIGN Here we evaluate circulating tumor DNA (ctDNA) tumor fraction (TF), a quantification of ctDNA in LBx samples, for utility in identifying true negative results. We assessed concordance between LBx and tissue-based results, stratified by ctDNA TF, in a real-world genomic dataset of paired samples across multiple disease types. We also evaluated the frequency of tissue results identifying driver alterations in patients with lung cancer after negative LBx in a real-world clinicogenomic database. RESULTS The positive percent agreement and negative predictive value between liquid and tissue samples for driver alterations increased from 63% and 66% for all samples to 98% and 97% in samples with ctDNA TF ≥1%. Among 505 patients with lung cancer with no targetable driver alterations found by LBx who had subsequent tissue-based profiling, 37% had a driver, all of which had ctDNA TF <1%. CONCLUSIONS Patients with lung cancer with negative LBx and ctDNA TF ≥1% are unlikely to have a driver detected on confirmatory tissue testing; such informative negative results may benefit instead from prompt treatment initiation. Conversely, negative LBx with ctDNA TF <1% will commonly have a driver identified by follow-up tissue testing and should be prioritized for reflex testing.
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Affiliation(s)
- Christian D. Rolfo
- Center of Thoracic Oncology at The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | | | | | - Yanmei Huang
- Foundation Medicine, Inc., Cambridge, Massachusetts
| | | | - Ryon P. Graf
- Foundation Medicine, Inc., Cambridge, Massachusetts
| | | | - Hatim Husain
- Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, California
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Hashimoto T, Nakamura Y, Oki E, Kobayashi S, Yuda J, Shibuki T, Bando H, Yoshino T. Bridging horizons beyond CIRCULATE-Japan: a new paradigm in molecular residual disease detection via whole genome sequencing-based circulating tumor DNA assay. Int J Clin Oncol 2024; 29:495-511. [PMID: 38551727 PMCID: PMC11043144 DOI: 10.1007/s10147-024-02493-4] [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: 01/28/2024] [Accepted: 02/16/2024] [Indexed: 04/26/2024]
Abstract
Circulating tumor DNA (ctDNA) is the fraction of cell-free DNA in patient blood that originates from a tumor. Advances in DNA sequencing technologies and our understanding of the molecular biology of tumors have increased interest in exploiting ctDNA to facilitate detection of molecular residual disease (MRD). Analysis of ctDNA as a promising MRD biomarker of solid malignancies has a central role in precision medicine initiatives exemplified by our CIRCULATE-Japan project involving patients with resectable colorectal cancer. Notably, the project underscores the prognostic significance of the ctDNA status at 4 weeks post-surgery and its correlation to adjuvant therapy efficacy at interim analysis. This substantiates the hypothesis that MRD is a critical prognostic indicator of relapse in patients with colorectal cancer. Despite remarkable advancements, challenges endure, primarily attributable to the exceedingly low ctDNA concentration in peripheral blood, particularly in scenarios involving low tumor shedding and the intrinsic error rates of current sequencing technologies. These complications necessitate more sensitive and sophisticated assays to verify the clinical utility of MRD across all solid tumors. Whole genome sequencing (WGS)-based tumor-informed MRD assays have recently demonstrated the ability to detect ctDNA in the parts-per-million range. This review delineates the current landscape of MRD assays, highlighting WGS-based approaches as the forefront technique in ctDNA analysis. Additionally, it introduces our upcoming endeavor, WGS-based pan-cancer MRD detection via ctDNA, in our forthcoming project, SCRUM-Japan MONSTAR-SCREEN-3.
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Affiliation(s)
- Tadayoshi Hashimoto
- Translational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Yoshiaki Nakamura
- Translational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Eiji Oki
- Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shin Kobayashi
- Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital East, Kashiwa, Japan
| | - Junichiro Yuda
- Department of Hematology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Taro Shibuki
- Translational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan
| | - Hideaki Bando
- Translational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Takayuki Yoshino
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
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Pietka G, De Lord C, Matthias G, Cheung B, Atwal S, Furtado M, Cullis J, Grey-Davies L, Narayanan S, McGregor A, Kilner M, Bosworth J, McMullin MF, Coats T, Parcharidou A, Cavenagh J, Byrne J, Iyengar S, Mohammed K, Cross N, Hubank M, Ribeiro S, Khorashad J, Wren D, O'Connor S, Taussig D. Capture-based targeted sequencing using a T-cell control in myeloid malignancies and idiopathic cytopenias. Br J Haematol 2024; 204:1325-1334. [PMID: 38462984 DOI: 10.1111/bjh.19377] [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: 11/21/2023] [Revised: 01/30/2024] [Accepted: 02/20/2024] [Indexed: 03/12/2024]
Abstract
We report on a study of next-generation sequencing in 257 patients undergoing investigations for cytopenias. We sequenced bone marrow aspirates using a target enrichment panel comprising 82 genes and used T cells from paired blood as a control. One hundred and sixty patients had idiopathic cytopenias, 81 had myeloid malignancies and 16 had lymphoid malignancies or other diagnoses. Forty-seven of the 160 patients with idiopathic cytopenias had evidence of somatic pathogenic variants consistent with clonal cytopenias. Only 39 genes of the 82 tested were mutated in the 241 patients with either idiopathic cytopenias or myeloid neoplasms. We confirm that T cells can be used as a control to distinguish between germline and somatic variants. The use of paired analysis with a T-cell control significantly reduced the time molecular scientists spent reporting compared to unpaired analysis. We identified somatic variants of uncertain significance (VUS) in a higher proportion (24%) of patients with myeloid malignancies or clonal cytopenias compared to less than 2% of patients with non-clonal cytopenias. This suggests that somatic VUS are indicators of a clonal process. Lastly, we show that blood depleted of lymphocytes can be used in place of bone marrow as a source of material for sequencing.
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Affiliation(s)
- Grzegorz Pietka
- Division of Molecular Pathology, Institute of Cancer Research, London, UK
- Department of Translational Research, Royal Marsden Hospital NHS Trust, London, UK
| | - Corinne De Lord
- Department of Haematology, St Helier Hospital, London, UK
- Department of Haematology, Royal Marsden Hospital NHS Trust, London, UK
| | - Gwynn Matthias
- Department of Haematology, Queen Alexandra Hospital, Portsmouth, UK
| | - Betty Cheung
- Department of Haematology, Croydon University Hospital, London, UK
| | - Sangeeta Atwal
- Department of Haematology, Kingston Hospital NHS Foundation Trust, London, UK
| | - Michelle Furtado
- Department of Haematology, Royal Cornwall Hospitals NHS Foundation Trust, Cornwall, Truro, UK
| | - Jonathan Cullis
- Department of Haematology, Salisbury NHS Foundation Trust, Salisbury, UK
| | - Liz Grey-Davies
- Department of Haematology, Royal Surrey County Hospital NHS Foundation Trust, Guildford, UK
| | | | - Andrew McGregor
- Department of Haematology, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Mari Kilner
- Department of Haematology, Northumbria Healthcare NHS Foundation Trust, Tyneside, UK
| | - Jenny Bosworth
- Department of Haematology, St Helier Hospital, London, UK
- Department of Haematology, Royal Marsden Hospital NHS Trust, London, UK
| | | | - Thomas Coats
- Department of Haematology, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | | | - Jamie Cavenagh
- Department of Haematology, St Bartholomew's Hospital, London, UK
| | - Jenny Byrne
- Department of Haematology, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Sunil Iyengar
- Department of Haematology, Royal Marsden Hospital NHS Trust, London, UK
| | - Kabir Mohammed
- Department of Statistics, Royal Marsden Hospital NHS Trust, London, UK
| | - Nicholas Cross
- Faculty of Medicine, University of Southampton, Southampton, UK
- Wessex Genomics Laboratory Service, Salisbury NHS Foundation Trust, Salisbury, UK
| | - Mike Hubank
- Department of Translational Research, Royal Marsden Hospital Sutton, London, UK
- Division of Molecular Pathology, Clinical Genomics (Research), Institute of Cancer Research, London, UK
| | - Sara Ribeiro
- Department of Molecular Pathology, Royal Marsden Hospital Sutton, London, UK
| | - Jamshid Khorashad
- Department of Molecular Pathology, Royal Marsden Hospital Sutton, London, UK
| | - Dorte Wren
- Department of Molecular Pathology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Simon O'Connor
- Department of Histopathology, Royal Marsden NHS Foundation Trust, London, UK
| | - David Taussig
- Division of Molecular Pathology, Institute of Cancer Research, London, UK
- Department of Haematology, Royal Marsden Hospital NHS Trust, London, UK
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6
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White JA, Kaninjing ET, Adeniji KA, Jibrin P, Obafunwa JO, Ogo CN, Mohammed F, Popoola A, Fatiregun OA, Oluwole OP, Thorpe RJ, Karanam B, Elhussin I, Ambs S, Tang W, Davis M, Polak P, Campbell MJ, Brignole KR, Rotimi SO, Dean-Colomb W, Odedina FT, Yates C. Whole-exome sequencing of Nigerian benign prostatic hyperplasia reveals increased alterations in apoptotic pathways. Prostate 2024; 84:460-472. [PMID: 38192023 PMCID: PMC10922327 DOI: 10.1002/pros.24662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/19/2023] [Accepted: 12/05/2023] [Indexed: 01/10/2024]
Abstract
BACKGROUND Through whole-exome sequencing of 60 formalin-fixed paraffin-embedded Nigerian (NGRn) benign prostatic hyperplasia (BPH) samples, we identified germline and somatic alterations in apoptotic pathways impacting BPH development and progression. Prostate enlargement is a common occurrence in male aging; however, this enlargement can lead to lower urinary tract symptoms that negatively impact quality of life. This impact is disproportionately present in men of African ancestry. BPH pathophysiology is poorly understood and studies examining non-European populations are lacking. METHODS In this study, NGRn BPH, normal prostate, and prostate cancer (PCa) tumor samples were sequenced and compared to characterize genetic alterations in NGRn BPH. RESULTS Two hundred and two nonbenign, ClinVar-annotated germline variants were present in NGRn BPH samples. Six genes [BRCA1 (92%), HSD3B1 (85%), TP53 (37%), PMS2 (23%), BARD1 (20%), and BRCA2 (17%)] were altered in at least 10% of samples; however, compared to NGRn normal and tumor, the frequency of alterations in BPH samples showed no significant differences at the gene or variant level. BRCA2_rs11571831 and TP53_rs1042522 germline alterations had a statistically significant co-occurrence interaction in BPH samples. In at least two BPH samples, 173 genes harbored somatic variants known to be clinically actionable. Three genes (COL18A1, KIF16B, and LRP1) showed a statistically significant (p < 0.05) higher frequency in BPH. NGRn BPH also had five gene pairs (PKD1/KIAA0100, PKHD1/PKD1, DNAH9/LRP1B, NWD1/DCHS2, and TCERG1/LMTK2) with statistically significant co-occurring interactions. Two hundred and seventy-nine genes contained novel somatic variants in NGRn BPH. Three genes (CABP1, FKBP1C, and RP11-595B24.2) had a statistically significant (p < 0.05) higher alteration frequency in NGRn BPH and three were significantly higher in NGRn tumor (CACNA1A, DMKN, and CACNA2D2). Pairwise Fisher's exact tests showed 14 gene pairs with statistically significant (p < 0.05) interactions and four interactions approaching significance (p < 0.10). Mutational patterns in NGRn BPH were similar to COSMIC (Catalog of Somatic Mutations in Cancer) signatures associated with aging and dysfunctional DNA damage repair. CONCLUSIONS NGRn BPH contained significant germline alteration interactions (BRCA2_rs11571831 and TP53_rs1042522) and increased somatic alteration frequencies (LMTK2, LRP1, COL18A1, CABP1, and FKBP1C) that impact apoptosis. Normal prostate development is maintained by balancing apoptotic and proliferative activity. Dysfunction in either mechanism can lead to abnormal prostate growth. This work is the first to examine genomic sequencing in NGRn BPH and provides data that fill known gaps in the understanding BPH and how it impacts men of African ancestry.
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Affiliation(s)
- Jason A White
- Center for Cancer Research, Tuskegee University, Tuskegee, Alabama, USA
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- Department of Genetics, Morehouse School of Medicine, Atlanta, Georgia, USA
| | - Ernest T Kaninjing
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- School of Health and Human Performance, Georgia College & State University, Milledgeville, Georgia, USA
| | - Kayode A Adeniji
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- College of Health Sciences, University of Ilorin Teaching Hospital, Ilorin, Kwara State, Nigeria
| | - Paul Jibrin
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- College of Health Sciences, National Hospital Abuja, Abuja, Federal Capital Territory, Nigeria
| | - John O Obafunwa
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- Department of Pathology and Forensic Medicine, Lagos State University Teaching Hospital, Ikeja, Lagos, Nigeria
| | - Chidiebere N Ogo
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- Department of Surgery, Federal Medical Centre, Abeokuta, Ogun State, Nigeria
| | - Faruk Mohammed
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- Department of Pathology, Ahmadu Bello University, Zaria, Kaduna State, Nigeria
| | - Ademola Popoola
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- College of Health Sciences, University of Ilorin Teaching Hospital, Ilorin, Kwara State, Nigeria
| | - Omolara A Fatiregun
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- Department of Clinical Oncology, Lagos State University Teaching Hospital, Ikeja, Lagos, Nigeria
| | - Olabode P Oluwole
- College of Health Sciences, University of Abuja, Abuja, Federal Capital Territory, Nigeria
| | - Roland J Thorpe
- Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Balasubramanyam Karanam
- Center for Cancer Research, Tuskegee University, Tuskegee, Alabama, USA
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
| | - Isra Elhussin
- Center for Cancer Research, Tuskegee University, Tuskegee, Alabama, USA
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Urology, Johns Hopkins University School of Medicine, Brady Urological Institute, Baltimore, Maryland, USA
| | - Stefan Ambs
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- Molecular Epidemiology Section, Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
| | - Wei Tang
- Molecular Epidemiology Section, Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
| | - Melissa Davis
- Department of Genetics, Morehouse School of Medicine, Atlanta, Georgia, USA
- Department of Surgery, New York Presbyterian-Weill Cornell Medicine, New York, New York, USA
| | - Paz Polak
- Quest Diagnostics, Secaucus, New Jersey, USA
| | - Moray J Campbell
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Kathryn R Brignole
- Lineberger Comprehensive Cancer Center, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, USA
| | - Solomon O Rotimi
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- Department of Biochemistry and Covenant Applied Informatics and Communication Africa Centre of Excellence, Covenant University, Ota, Nigeria
| | - Windy Dean-Colomb
- Center for Cancer Research, Tuskegee University, Tuskegee, Alabama, USA
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- Piedmont Medical Oncology-Newnan, Newnan, Georgia, USA
| | - Folake T Odedina
- Center for Health Equity and Community Engagement Research, Mayo Clinic, Jacksonville, Florida, USA
| | - Clayton Yates
- Center for Cancer Research, Tuskegee University, Tuskegee, Alabama, USA
- Prostate Cancer Transatlantic Consortium (CaPTC), Abuja, Wuse Zone 1, Nigeria
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Urology, Johns Hopkins University School of Medicine, Brady Urological Institute, Baltimore, Maryland, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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7
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Nowlen CJ, Daniels M, Uzunparmak B, Ileana Dumbrava EE, Yuan Y, Patel KP, Rayes N, Harkenrider J, Wathoo C, Veazie J, Luna KA, Wang W, Horombe C, Javle M, Ahnert JR, Yap TA, Arun B, Lu KH, Meric-Bernstam F. Limited Independent Follow-Up with Germline Testing of Variants Detected in BRCA1 and BRCA2 by Tumor-Only Sequencing. JOURNAL OF IMMUNOTHERAPY AND PRECISION ONCOLOGY 2024; 7:7-17. [PMID: 38327755 PMCID: PMC10846638 DOI: 10.36401/jipo-23-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 08/28/2023] [Accepted: 10/10/2023] [Indexed: 02/09/2024]
Abstract
Introduction Genomic profiling is performed in patients with advanced or metastatic cancer, in order to direct cancer treatment, often sequencing tumor-only, without a matched germline comparator. However, because many of the genes analyzed on tumor profiling overlap with those known to be associated with hereditary cancer predisposition syndromes (HCPS), tumor-only profiling can unknowingly uncover germline pathogenic (P) and likely pathogenic variants (LPV). In this study, we evaluated the number of patients with P/LPVs identified in BRCA1 and BRCA2 (BRCA1/2) via tumor-only profiling, then determined the germline testing outcomes for those patients. Methods A retrospective chart review was performed to identify patients with BRCA1/2 variants on tumor-only genomic profiling, and whether they had germline testing. Results This study found that of 2923 patients with 36 tumor types who underwent tumor-only testing, 554 had a variant in BRCA1/2 (19.0%); 119 of the 554 patients (21.5%) had a P/LP BRCA1/2 variant, representing 4.1% of the overall population who underwent genomic profiling. Seventy-three (61.3%) of 119 patients with BRCA1/2 P/LPV on tumor-only testing did not undergo germline testing, 34 (28.6%) had already had germline testing before tumor-only testing, and 12 (10.1%) underwent germline testing after tumor-only testing. Twenty-eight germline BRCA1/2 P/LPVs were detected, 24 in those who had prior germline testing, and 4 among the 12 patients who had germline testing after tumor-only testing. Conclusion Tumor-only testing is likely to identify P/LPVs in BRCA1/2. Efforts to improve follow-up germline testing is needed to improve identification of germline BRCA1/2 alterations.
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Affiliation(s)
- Carol J. Nowlen
- The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Molly Daniels
- Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Burak Uzunparmak
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ecaterina E. Ileana Dumbrava
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ying Yuan
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Keyur P. Patel
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nadine Rayes
- Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jacqueline Harkenrider
- Department of Obstetrics, Gynecology, and Reproductive Sciences, The University of Texas Health Science Center at Houston John P. and Katherine G. McGovern Medical School, Houston, TX, USA
| | - Chetna Wathoo
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jennifer Veazie
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Krystle A. Luna
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wanlin Wang
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chacha Horombe
- Department of Enterprise Development & Integration, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Milind Javle
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jordi Rodon Ahnert
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Timothy A. Yap
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Banu Arun
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Karen H. Lu
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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8
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Koster R, Schipper LJ, Giesbertz NAA, van Beek D, Mendeville M, Samsom KG, Rosenberg EH, Hogervorst FBL, Roepman P, Boelens MC, Bosch LJW, van den Berg JG, Meijer GA, Voest EE, Cuppen E, Ruijs MWG, van Wezel T, van der Kolk L, Monkhorst K. Impact of genetic counseling strategy on diagnostic yield and workload for genome-sequencing-based tumor diagnostics. Genet Med 2024; 26:101032. [PMID: 38006283 DOI: 10.1016/j.gim.2023.101032] [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: 07/17/2023] [Revised: 11/17/2023] [Accepted: 11/19/2023] [Indexed: 11/26/2023] Open
Abstract
PURPOSE Genome sequencing (GS) enables comprehensive molecular analysis of tumors and identification of hereditary cancer predisposition. According to guidelines, directly determining pathogenic germline variants (PGVs) requires pretest genetic counseling, which is cost-ineffective. Referral for genetic counseling based on tumor variants alone could miss relevant PGVs and/or result in unnecessary referrals. METHODS We validated GS for detection of germline variants and simulated 3 strategies using paired tumor-normal GS data of 937 metastatic patients. In strategy-1, genetic counseling before tumor testing allowed direct PGV analysis. In strategy-2 and -3, germline testing and referral for post-test genetic counseling is based on tumor variants using Dutch (strategy-2) or Europen Society for Medical Oncology (ESMO) Precision Medicine Working Group (strategy-3) guidelines. RESULTS In strategy-1, PGVs would be detected in 50 patients (number-needed-to counsel; NTC = 18.7). In strategy-2, 86 patients would have been referred for genetic counseling and 43 would have PGVs (NTC = 2). In strategy-3, 94 patients would have been referred for genetic counseling and 32 would have PGVs (NTC = 2.9). Hence, 43 and 62 patients, respectively, were unnecessarily referred based on a somatic variant. CONCLUSION Both post-tumor test counseling strategies (2 and 3) had significantly lower NTC, and strategy-2 had the highest PGV yield. Combining pre-tumor test mainstreaming and post-tumor test counseling may maximize the clinically relevant PGV yield and minimize unnecessary referrals.
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Affiliation(s)
- Roelof Koster
- The Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Luuk J Schipper
- The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | | | | | - Kris G Samsom
- The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | | | - Paul Roepman
- Hartwig Medical Foundation, Amsterdam, The Netherlands
| | | | - Linda J W Bosch
- The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Gerrit A Meijer
- The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Emile E Voest
- The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Edwin Cuppen
- Hartwig Medical Foundation, Amsterdam, The Netherlands
| | | | - Tom van Wezel
- The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Kim Monkhorst
- The Netherlands Cancer Institute, Amsterdam, The Netherlands.
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9
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Bergom HE, Sena LA, Day A, Miller B, Miller CD, Lozada JR, Zorko N, Wang J, Shenderov E, Lobo FP, Caramella-Pereira F, Marchionni L, Drake CG, Lotan T, De Marzo AM, Hwang J, Antonarakis ES. Divergent immune microenvironments in two tumor nodules from a patient with mismatch repair-deficient prostate cancer. NPJ Genom Med 2024; 9:7. [PMID: 38253539 PMCID: PMC10803790 DOI: 10.1038/s41525-024-00392-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024] Open
Abstract
Patients with prostate cancer (PC) generally do not respond favorably to immune checkpoint inhibitors, which may be due to a low abundance of tumor-infiltrating lymphocytes even when mutational load is high. Here, we identified a patient who presented with high-grade primary prostate cancer with two adjacent tumor nodules. While both nodules were mismatch repair-deficient (MMRd), exhibited pathogenic MSH2 and MSH6 alterations, had a high tumor mutational burden (TMB), and demonstrated high microsatellite instability (MSI), they had markedly distinct immune phenotypes. The first displayed a dense infiltrate of lymphocytes ("hot nodule"), while the second displayed significantly fewer infiltrating lymphocytes ("cold nodule"). Whole-exome DNA analysis found that both nodules shared many identical mutations, indicating that they were derived from a single clone. However, the cold nodule appeared to be sub-clonal relative to the hot nodule, suggesting divergent evolution of the cold nodule from the hot nodule. Whole-transcriptome RNA analysis found that the cold nodule demonstrated lower expression of genes related to antigen presentation (HLA) and, paradoxically, classical tumor immune tolerance markers such as PD-L1 (CD274) and CTLA-4. Immune cell deconvolution suggested that the hot nodule was enriched not only in CD8+ and CD4 + T lymphocytes, but also in M1 macrophages, activated NK cells, and γδ T cells compared to the cold nodule. This case highlights that MMRd/TMB-high PC can evolve to minimize an anti-tumor immune response, and nominates downregulation of antigen presentation machinery (HLA loss) as a potential mechanism of adaptive immune evasion in PC.
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Affiliation(s)
- Hannah E Bergom
- Department of Medicine, University of Minnesota-Twin Cities, Minneapolis, MN, USA
- Division of Hematology, Oncology and Transplantation, University of Minnesota-Twin Cities, Minneapolis, MN, USA
| | - Laura A Sena
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins, Baltimore, MD, USA
| | - Abderrahman Day
- Department of Medicine, University of Minnesota-Twin Cities, Minneapolis, MN, USA
- Division of Hematology, Oncology and Transplantation, University of Minnesota-Twin Cities, Minneapolis, MN, USA
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
| | - Benjamin Miller
- Department of Medicine, University of Minnesota-Twin Cities, Minneapolis, MN, USA
| | - Carly D Miller
- Department of Medicine, University of Minnesota-Twin Cities, Minneapolis, MN, USA
| | - John R Lozada
- Department of Medicine, University of Minnesota-Twin Cities, Minneapolis, MN, USA
- Division of Hematology, Oncology and Transplantation, University of Minnesota-Twin Cities, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Nicholas Zorko
- Department of Medicine, University of Minnesota-Twin Cities, Minneapolis, MN, USA
- Division of Hematology, Oncology and Transplantation, University of Minnesota-Twin Cities, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Jinhua Wang
- Department of Medicine, University of Minnesota-Twin Cities, Minneapolis, MN, USA
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Eugene Shenderov
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA
- The Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Francisco Pereira Lobo
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins, Baltimore, MD, USA
- Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | | | - Luigi Marchionni
- Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Charles G Drake
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins, Baltimore, MD, USA
- Janssen Research and Development, LLC, Springhouse, PA, USA
| | - Tamara Lotan
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins, Baltimore, MD, USA
| | - Angelo M De Marzo
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins, Baltimore, MD, USA
| | - Justin Hwang
- Department of Medicine, University of Minnesota-Twin Cities, Minneapolis, MN, USA
- Division of Hematology, Oncology and Transplantation, University of Minnesota-Twin Cities, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Emmanuel S Antonarakis
- Department of Medicine, University of Minnesota-Twin Cities, Minneapolis, MN, USA.
- Division of Hematology, Oncology and Transplantation, University of Minnesota-Twin Cities, Minneapolis, MN, USA.
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
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10
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Murray JC, Sivapalan L, Hummelink K, Balan A, White JR, Niknafs N, Rhymee L, Pereira G, Rao N, Weksler B, Bahary N, Phallen J, Leal A, Bartlett DL, Marrone KA, Naidoo J, Goel A, Levy B, Rosner S, Hann CL, Scott SC, Feliciano J, Lam VK, Ettinger DS, Li QK, Illei PB, Monkhorst K, Scharpf RB, Brahmer JR, Velculescu VE, Zaidi AH, Forde PM, Anagnostou V. Elucidating the Heterogeneity of Immunotherapy Response and Immune-Related Toxicities by Longitudinal ctDNA and Immune Cell Compartment Tracking in Lung Cancer. Clin Cancer Res 2024; 30:389-403. [PMID: 37939140 PMCID: PMC10792359 DOI: 10.1158/1078-0432.ccr-23-1469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 09/05/2023] [Accepted: 11/03/2023] [Indexed: 11/10/2023]
Abstract
PURPOSE Although immunotherapy is the mainstay of therapy for advanced non-small cell lung cancer (NSCLC), robust biomarkers of clinical response are lacking. The heterogeneity of clinical responses together with the limited value of radiographic response assessments to timely and accurately predict therapeutic effect-especially in the setting of stable disease-calls for the development of molecularly informed real-time minimally invasive approaches. In addition to capturing tumor regression, liquid biopsies may be informative in capturing immune-related adverse events (irAE). EXPERIMENTAL DESIGN We investigated longitudinal changes in circulating tumor DNA (ctDNA) in patients with metastatic NSCLC who received immunotherapy-based regimens. Using ctDNA targeted error-correction sequencing together with matched sequencing of white blood cells and tumor tissue, we tracked serial changes in cell-free tumor load (cfTL) and determined molecular response. Peripheral T-cell repertoire dynamics were serially assessed and evaluated together with plasma protein expression profiles. RESULTS Molecular response, defined as complete clearance of cfTL, was significantly associated with progression-free (log-rank P = 0.0003) and overall survival (log-rank P = 0.01) and was particularly informative in capturing differential survival outcomes among patients with radiographically stable disease. For patients who developed irAEs, on-treatment peripheral blood T-cell repertoire reshaping, assessed by significant T-cell receptor (TCR) clonotypic expansions and regressions, was identified on average 5 months prior to clinical diagnosis of an irAE. CONCLUSIONS Molecular responses assist with the interpretation of heterogeneous clinical responses, especially for patients with stable disease. Our complementary assessment of the peripheral tumor and immune compartments provides an approach for monitoring of clinical benefits and irAEs during immunotherapy.
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Affiliation(s)
- Joseph C. Murray
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Lung Cancer Precision Medicine Center of Excellence, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Lavanya Sivapalan
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Karlijn Hummelink
- Antoni van Leeuwenhoek Nederlands Kanker Instituut, Amsterdam, the Netherlands
| | - Archana Balan
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - James R. White
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Noushin Niknafs
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Lamia Rhymee
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Gavin Pereira
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Nisha Rao
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Benny Weksler
- Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, Pennsylvania
| | - Nathan Bahary
- Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, Pennsylvania
| | - Jillian Phallen
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Alessandro Leal
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - David L. Bartlett
- Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, Pennsylvania
| | - Kristen A. Marrone
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Lung Cancer Precision Medicine Center of Excellence, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jarushka Naidoo
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Beaumont RCSI Cancer Centre, Dublin, Ireland
| | - Akul Goel
- California Institute of Technology, 1200 E California Blvd, Pasadena, California
| | - Benjamin Levy
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Samuel Rosner
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Christine L. Hann
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Susan C. Scott
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Josephine Feliciano
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Vincent K. Lam
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - David S. Ettinger
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Qing Kay Li
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland
| | - Peter B. Illei
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland
| | - Kim Monkhorst
- Antoni van Leeuwenhoek Nederlands Kanker Instituut, Amsterdam, the Netherlands
| | - Robert B. Scharpf
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Julie R. Brahmer
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Lung Cancer Precision Medicine Center of Excellence, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Victor E. Velculescu
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Ali H. Zaidi
- Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, Pennsylvania
| | - Patrick M. Forde
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Valsamo Anagnostou
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Lung Cancer Precision Medicine Center of Excellence, Johns Hopkins University School of Medicine, Baltimore, Maryland
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11
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Andreotti V, Vanni I, Pastorino L, Ghiorzo P, Bruno W. Germline POT1 Variants: A Critical Perspective on POT1 Tumor Predisposition Syndrome. Genes (Basel) 2024; 15:104. [PMID: 38254993 PMCID: PMC10815363 DOI: 10.3390/genes15010104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/10/2024] [Accepted: 01/13/2024] [Indexed: 01/24/2024] Open
Abstract
The Protection of Telomere 1 (POT1) gene was identified as a melanoma predisposition candidate nearly 10 years ago. Thereafter, various cancers have been proposed as associated with germline POT1 variants in the context of the so-called POT1 Predisposition Tumor Syndrome (POT1-TPD). While the key role, and related risks, of the alterations in POT1 in melanoma are established, the correlation between germline POT1 variants and the susceptibility to other cancers partially lacks evidence, due also to the rarity of POT1-TPD. Issues range from the absence of functional or segregation studies to biased datasets or the need for a revised classification of variants. Furthermore, a proposal of a surveillance protocol related to the cancers associated with POT1 pathogenic variants requires reliable data to avoid an excessive, possibly unjustified, burden for POT1 variant carriers. We propose a critical perspective regarding data published over the last 10 years that correlate POT1 variants to various types of cancer, other than cutaneous melanoma, to offer food for thought for the specialists who manage cancer predisposition syndromes and to stimulate a debate on the grey areas that have been exposed.
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Affiliation(s)
- Virginia Andreotti
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy; (V.A.); (I.V.); (L.P.); (P.G.)
| | - Irene Vanni
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy; (V.A.); (I.V.); (L.P.); (P.G.)
| | - Lorenza Pastorino
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy; (V.A.); (I.V.); (L.P.); (P.G.)
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, V.le Benedetto XV 6, 16132 Genoa, Italy
| | - Paola Ghiorzo
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy; (V.A.); (I.V.); (L.P.); (P.G.)
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, V.le Benedetto XV 6, 16132 Genoa, Italy
| | - William Bruno
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy; (V.A.); (I.V.); (L.P.); (P.G.)
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, V.le Benedetto XV 6, 16132 Genoa, Italy
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12
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Mock A, Teleanu MV, Kreutzfeldt S, Heilig CE, Hüllein J, Möhrmann L, Jahn A, Hanf D, Kerle IA, Singh HM, Hutter B, Uhrig S, Fröhlich M, Neumann O, Hartig A, Brückmann S, Hirsch S, Grund K, Dikow N, Lipka DB, Renner M, Bhatti IA, Apostolidis L, Schlenk RF, Schaaf CP, Stenzinger A, Schröck E, Hübschmann D, Heining C, Horak P, Glimm H, Fröhling S. NCT/DKFZ MASTER handbook of interpreting whole-genome, transcriptome, and methylome data for precision oncology. NPJ Precis Oncol 2023; 7:109. [PMID: 37884744 PMCID: PMC10603123 DOI: 10.1038/s41698-023-00458-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 09/26/2023] [Indexed: 10/28/2023] Open
Abstract
Analysis of selected cancer genes has become an important tool in precision oncology but cannot fully capture the molecular features and, most importantly, vulnerabilities of individual tumors. Observational and interventional studies have shown that decision-making based on comprehensive molecular characterization adds significant clinical value. However, the complexity and heterogeneity of the resulting data are major challenges for disciplines involved in interpretation and recommendations for individualized care, and limited information exists on how to approach multilayered tumor profiles in clinical routine. We report our experience with the practical use of data from whole-genome or exome and RNA sequencing and DNA methylation profiling within the MASTER (Molecularly Aided Stratification for Tumor Eradication Research) program of the National Center for Tumor Diseases (NCT) Heidelberg and Dresden and the German Cancer Research Center (DKFZ). We cover all relevant steps of an end-to-end precision oncology workflow, from sample collection, molecular analysis, and variant prioritization to assigning treatment recommendations and discussion in the molecular tumor board. To provide insight into our approach to multidimensional tumor profiles and guidance on interpreting their biological impact and diagnostic and therapeutic implications, we present case studies from the NCT/DKFZ molecular tumor board that illustrate our daily practice. This manual is intended to be useful for physicians, biologists, and bioinformaticians involved in the clinical interpretation of genome-wide molecular information.
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Affiliation(s)
- Andreas Mock
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Pathology, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany
| | - Maria-Veronica Teleanu
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Hematology, Oncology and Rheumatology, Heidelberg Unversity Hospital, Heidelberg, Germany
| | - Simon Kreutzfeldt
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christoph E Heilig
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jennifer Hüllein
- Computational Oncology Group, Molecular Precision Oncology Program, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Lino Möhrmann
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Department of Translational Medical Oncology, National Center for Tumor Diseases/University Cancer Center (NCT/UCC) Dresden, Dresden, Germany
- DKFZ, Heidelberg, Germany
| | - Arne Jahn
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Institute for Clinical Genetics, University Hospital Carl Gustav Carus, Technische Universität Dresden and Hereditary Cancer Syndrome Center Dresden, Dresden, Germany
| | - Dorothea Hanf
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Department of Translational Medical Oncology, National Center for Tumor Diseases/University Cancer Center (NCT/UCC) Dresden, Dresden, Germany
- DKFZ, Heidelberg, Germany
| | - Irina A Kerle
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Department of Translational Medical Oncology, National Center for Tumor Diseases/University Cancer Center (NCT/UCC) Dresden, Dresden, Germany
- DKFZ, Heidelberg, Germany
| | - Hans Martin Singh
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Medical Oncology, NCT Heidelberg and Heidelberg University Hospital, Heidelberg, Germany
| | - Barbara Hutter
- Computational Oncology Group, Molecular Precision Oncology Program, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Sebastian Uhrig
- Computational Oncology Group, Molecular Precision Oncology Program, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Martina Fröhlich
- Computational Oncology Group, Molecular Precision Oncology Program, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Olaf Neumann
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Andreas Hartig
- Institute of Pathology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Sascha Brückmann
- Institute of Pathology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Steffen Hirsch
- Institute of Human Genetics, Heidelberg University Hospital, Heidelberg, Germany
| | - Kerstin Grund
- Institute of Human Genetics, Heidelberg University Hospital, Heidelberg, Germany
| | - Nicola Dikow
- Institute of Human Genetics, Heidelberg University Hospital, Heidelberg, Germany
| | - Daniel B Lipka
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Translational Cancer Epigenomics, Division of Translational Medical Oncology, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Marcus Renner
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Irfan Ahmed Bhatti
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Medical Oncology, NCT Heidelberg and Heidelberg University Hospital, Heidelberg, Germany
| | - Leonidas Apostolidis
- Department of Medical Oncology, NCT Heidelberg and Heidelberg University Hospital, Heidelberg, Germany
| | - Richard F Schlenk
- Department of Hematology, Oncology and Rheumatology, Heidelberg Unversity Hospital, Heidelberg, Germany
- Department of Medical Oncology, NCT Heidelberg and Heidelberg University Hospital, Heidelberg, Germany
- NCT Trial Center, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Christian P Schaaf
- Institute of Human Genetics, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Evelin Schröck
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Institute for Clinical Genetics, University Hospital Carl Gustav Carus, Technische Universität Dresden and Hereditary Cancer Syndrome Center Dresden, Dresden, Germany
| | - Daniel Hübschmann
- Computational Oncology Group, Molecular Precision Oncology Program, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Christoph Heining
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Department of Translational Medical Oncology, National Center for Tumor Diseases/University Cancer Center (NCT/UCC) Dresden, Dresden, Germany
- DKFZ, Heidelberg, Germany
| | - Peter Horak
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hanno Glimm
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Department of Translational Medical Oncology, National Center for Tumor Diseases/University Cancer Center (NCT/UCC) Dresden, Dresden, Germany
- DKFZ, Heidelberg, Germany
| | - Stefan Fröhling
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany.
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13
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Anagnostou V, Ho C, Nicholas G, Juergens RA, Sacher A, Fung AS, Wheatley-Price P, Laurie SA, Levy B, Brahmer JR, Balan A, Niknafs N, Avrutin E, Zhu L, Sausen M, Bradbury PA, O'Donnell-Tormey J, Gaudreau PO, Ding K, Dancey J. ctDNA response after pembrolizumab in non-small cell lung cancer: phase 2 adaptive trial results. Nat Med 2023; 29:2559-2569. [PMID: 37814061 PMCID: PMC10579094 DOI: 10.1038/s41591-023-02598-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 09/19/2023] [Indexed: 10/11/2023]
Abstract
Circulating tumor DNA (ctDNA) has shown promise in capturing primary resistance to immunotherapy. BR.36 is a multi-center, randomized, ctDNA-directed, phase 2 trial of molecular response-adaptive immuno-chemotherapy for patients with lung cancer. In the first of two independent stages, 50 patients with advanced non-small cell lung cancer received pembrolizumab as standard of care. The primary objectives of stage 1 were to ascertain ctDNA response and determine optimal timing and concordance with radiologic Response Evaluation Criteria in Solid Tumors (RECIST) response. Secondary endpoints included the evaluation of time to ctDNA response and correlation with progression-free and overall survival. Maximal mutant allele fraction clearance at the third cycle of pembrolizumab signified molecular response (mR). The trial met its primary endpoint, with a sensitivity of ctDNA response for RECIST response of 82% (90% confidence interval (CI): 52-97%) and a specificity of 75% (90% CI: 56.5-88.5%). Median time to ctDNA response was 2.1 months (90% CI: 1.5-2.6), and patients with mR attained longer progression-free survival (5.03 months versus 2.6 months) and overall survival (not reached versus 7.23 months). These findings are incorporated into the ctDNA-driven interventional molecular response-adaptive second stage of the BR.36 trial in which patients at risk of progression are randomized to treatment intensification or continuation of therapy. ClinicalTrials.gov ID: NCT04093167 .
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Affiliation(s)
- Valsamo Anagnostou
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Cheryl Ho
- BCCA-Vancouver Cancer Centre, Vancouver, BC, Canada
| | | | | | - Adrian Sacher
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Andrea S Fung
- Kingston Health Sciences Centre, Kingston, ON, Canada
| | | | | | - Benjamin Levy
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Julie R Brahmer
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Archana Balan
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Noushin Niknafs
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Egor Avrutin
- Canadian Cancer Trials Group, Queen's University, Kingston, ON, Canada
| | - Liting Zhu
- Canadian Cancer Trials Group, Queen's University, Kingston, ON, Canada
| | - Mark Sausen
- Personal Genome Diagnostics (LabCorp), Baltimore, MD, USA
| | - Penelope A Bradbury
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | | | | | - Keyue Ding
- Canadian Cancer Trials Group, Queen's University, Kingston, ON, Canada
| | - Janet Dancey
- Canadian Cancer Trials Group, Queen's University, Kingston, ON, Canada.
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14
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Yi D, Nam JW, Jeong H. Toward the functional interpretation of somatic structural variations: bulk- and single-cell approaches. Brief Bioinform 2023; 24:bbad297. [PMID: 37587831 PMCID: PMC10516374 DOI: 10.1093/bib/bbad297] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/05/2023] [Accepted: 07/23/2023] [Indexed: 08/18/2023] Open
Abstract
Structural variants (SVs) are genomic rearrangements that can take many different forms such as copy number alterations, inversions and translocations. During cell development and aging, somatic SVs accumulate in the genome with potentially neutral, deleterious or pathological effects. Generation of somatic SVs is a key mutational process in cancer development and progression. Despite their importance, the detection of somatic SVs is challenging, making them less studied than somatic single-nucleotide variants. In this review, we summarize recent advances in whole-genome sequencing (WGS)-based approaches for detecting somatic SVs at the tissue and single-cell levels and discuss their advantages and limitations. First, we describe the state-of-the-art computational algorithms for somatic SV calling using bulk WGS data and compare the performance of somatic SV detectors in the presence or absence of a matched-normal control. We then discuss the unique features of cutting-edge single-cell-based techniques for analyzing somatic SVs. The advantages and disadvantages of bulk and single-cell approaches are highlighted, along with a discussion of their sensitivity to copy-neutral SVs, usefulness for functional inferences and experimental and computational costs. Finally, computational approaches for linking somatic SVs to their functional readouts, such as those obtained from single-cell transcriptome and epigenome analyses, are illustrated, with a discussion of the promise of these approaches in health and diseases.
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Affiliation(s)
- Dohun Yi
- Department of Life Science, College of Natural Sciences, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
| | - Jin-Wu Nam
- Department of Life Science, College of Natural Sciences, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
- Research Institute for Convergence of Basic Sciences, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
- Bio-BigData Center, Hanyang Institute of Bioscience and Biotechnology, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
- Hanyang Institute of Advanced BioConvergence, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
| | - Hyobin Jeong
- Department of Life Science, College of Natural Sciences, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
- Bio-BigData Center, Hanyang Institute of Bioscience and Biotechnology, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
- Hanyang Institute of Advanced BioConvergence, Hanyang University, Wangsimni-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea
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15
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Marabelli M, Bertario L, Serrano D. Editorial for the Special Issue "Genetics and Genomics of Gastrointestinal Cancers: From Prevention to Treatment". Genes (Basel) 2023; 14:1821. [PMID: 37761961 PMCID: PMC10530279 DOI: 10.3390/genes14091821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
According to the latest estimate from GLOBOCAN 2020, approximately 18 [...].
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Affiliation(s)
| | | | - Davide Serrano
- Division of Cancer Prevention and Genetics, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy; (M.M.); (L.B.)
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16
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Saldivar JS, Harris J, Ayash E, Hong M, Tandon P, Sinha S, Hebron PM, Houghton EE, Thorne K, Goodman LJ, Li C, Marfatia TR, Anderson J, Morra M, Lyle J, Bartha G, Chen R. Analytic validation of NeXT Dx™, a comprehensive genomic profiling assay. Oncotarget 2023; 14:789-806. [PMID: 37646774 PMCID: PMC10467627 DOI: 10.18632/oncotarget.28490] [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: 05/31/2023] [Accepted: 08/19/2023] [Indexed: 09/01/2023] Open
Abstract
We describe the analytic validation of NeXT Dx, a comprehensive genomic profiling assay to aid therapy and clinical trial selection for patients diagnosed with solid tumor cancers. Proprietary methods were utilized to perform whole exome and whole transcriptome sequencing for detection of single nucleotide variants (SNVs), insertions/deletions (indels), copy number alterations (CNAs), and gene fusions, and determination of tumor mutation burden and microsatellite instability. Variant calling is enhanced by sequencing a patient-specific normal sample from, for example, a blood specimen. This provides highly accurate somatic variant calls as well as the incidental reporting of pathogenic and likely pathogenic germline alterations. Fusion detection via RNA sequencing provides more extensive and accurate fusion calling compared to DNA-based tests. NeXT Dx features the proprietary Accuracy and Content Enhanced technology, developed to optimize sequencing and provide more uniform coverage across the exome. The exome was validated at a median sequencing depth of >500x. While variants from 401 cancer-associated genes are currently reported from the assay, the exome/transcriptome assay is broadly validated to enable reporting of additional variants as they become clinically relevant. NeXT Dx demonstrated analytic sensitivities as follows: SNVs (99.4%), indels (98.2%), CNAs (98.0%), and fusions (95.8%). The overall analytic specificity was >99.0%.
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Affiliation(s)
| | - Jason Harris
- Personalis, Inc., Fremont, CA 94555, USA
- These authors contributed equally to this work
| | - Erin Ayash
- Personalis, Inc., Fremont, CA 94555, USA
| | | | | | | | | | | | | | | | - Conan Li
- Personalis, Inc., Fremont, CA 94555, USA
| | | | | | | | - John Lyle
- Personalis, Inc., Fremont, CA 94555, USA
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17
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Hurvitz N, Ilan Y. The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from "Nice to Have" to Mandatory Systems. Clin Pract 2023; 13:994-1014. [PMID: 37623270 PMCID: PMC10453547 DOI: 10.3390/clinpract13040089] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 08/26/2023] Open
Abstract
The success of artificial intelligence depends on whether it can penetrate the boundaries of evidence-based medicine, the lack of policies, and the resistance of medical professionals to its use. The failure of digital health to meet expectations requires rethinking some of the challenges faced. We discuss some of the most significant challenges faced by patients, physicians, payers, pharmaceutical companies, and health systems in the digital world. The goal of healthcare systems is to improve outcomes. Assisting in diagnosing, collecting data, and simplifying processes is a "nice to have" tool, but it is not essential. Many of these systems have yet to be shown to improve outcomes. Current outcome-based expectations and economic constraints make "nice to have," "assists," and "ease processes" insufficient. Complex biological systems are defined by their inherent disorder, bounded by dynamic boundaries, as described by the constrained disorder principle (CDP). It provides a platform for correcting systems' malfunctions by regulating their degree of variability. A CDP-based second-generation artificial intelligence system provides solutions to some challenges digital health faces. Therapeutic interventions are held to improve outcomes with these systems. In addition to improving clinically meaningful endpoints, CDP-based second-generation algorithms ensure patient and physician engagement and reduce the health system's costs.
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Affiliation(s)
| | - Yaron Ilan
- Hadassah Medical Center, Department of Medicine, Faculty of Medicine, Hebrew University, POB 1200, Jerusalem IL91120, Israel;
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18
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Albert BA, Yang Y, Shao XM, Singh D, Smit KN, Anagnostou V, Karchin R. Deep neural networks predict class I major histocompatibility complex epitope presentation and transfer learn neoepitope immunogenicity. NAT MACH INTELL 2023; 5:861-872. [PMID: 37829001 PMCID: PMC10569228 DOI: 10.1038/s42256-023-00694-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 06/23/2023] [Indexed: 10/14/2023]
Abstract
Identifying neoepitopes that elicit an adaptive immune response is a major bottleneck to developing personalized cancer vaccines. Experimental validation of candidate neoepitopes is extremely resource intensive and the vast majority of candidates are non-immunogenic, creating a needle-in-a-haystack problem. Here we address this challenge, presenting computational methods for predicting class I major histocompatibility complex (MHC-I) epitopes and identifying immunogenic neoepitopes with improved precision. The BigMHC method comprises an ensemble of seven pan-allelic deep neural networks trained on peptide-MHC eluted ligand data from mass spectrometry assays and transfer learned on data from assays of antigen-specific immune response. Compared with four state-of-the-art classifiers, BigMHC significantly improves the prediction of epitope presentation on a test set of 45,409 MHC ligands among 900,592 random negatives (area under the receiver operating characteristic = 0.9733; area under the precision-recall curve = 0.8779). After transfer learning on immunogenicity data, BigMHC yields significantly higher precision than seven state-of-the-art models in identifying immunogenic neoepitopes, making BigMHC effective in clinical settings.
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Affiliation(s)
- Benjamin Alexander Albert
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Yunxiao Yang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Xiaoshan M. Shao
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Dipika Singh
- The Sidney Kimmel Comprehensive Cancer Center, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Bloomberg~Kimmel Institute for Cancer Immunotherapy, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Kellie N. Smit
- The Sidney Kimmel Comprehensive Cancer Center, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Bloomberg~Kimmel Institute for Cancer Immunotherapy, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Valsamo Anagnostou
- The Sidney Kimmel Comprehensive Cancer Center, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Bloomberg~Kimmel Institute for Cancer Immunotherapy, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Rachel Karchin
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
- The Sidney Kimmel Comprehensive Cancer Center, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
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19
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Verner EL, Jackson JB, Severson E, Valkenburg KC, Greer AE, Riley DR, Sausen M, Maddox C, McGregor PM, Karandikar A, Hastings SB, Previs RA, Reddy VP, Jensen TJ, Ramkissoon SH. Validation of the Labcorp Plasma Focus Test to Facilitate Precision Oncology Through Cell-Free DNA Genomic Profiling of Solid Tumors. J Mol Diagn 2023; 25:477-489. [PMID: 37068734 DOI: 10.1016/j.jmoldx.2023.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 02/28/2023] [Accepted: 03/30/2023] [Indexed: 04/19/2023] Open
Abstract
Genomic profiling is critical for precision oncology to guide treatment decisions. Liquid biopsy testing is a complementary approach to tissue testing, particularly when tissue is not readily available. The Labcorp Plasma Focus test is a circulating cell-free DNA genomic profiling test that identifies actionable variants in solid cancers, including non-small-cell lung, colorectal, melanoma, breast, esophageal, gastroesophageal junction, and gastric cancers. This study highlights the analytical validation of the test, including accuracy compared with orthogonal methods, as well as sensitivity, specificity, precision, reproducibility, and repeatability. Concordance with orthogonal methods showed percent positive agreement of 98.7%, 89.3%, and 96.2% for single nucleotide variants (SNVs), insertion/deletions (indels), and copy number amplifications (CNAs), respectively, and 100.0% for translocations and microsatellite instability (MSI). Analytical sensitivity revealed a median limit of detection of 0.7% and 0.6% for SNVs and indels, 1.4-fold for CNAs, 0.5% variant allele frequency for translocations, and 0.6% for MSI. Specificity was >99% for SNVs/indels and 100% for CNAs, translocations, and MSI. Average positive agreement from precision, reproducibility, and repeatability experiments was 97.5% and 88.9% for SNVs/indels and CNAs, and 100% for translocations and MSI. Taken together, these data show that the Labcorp Plasma Focus test is a highly accurate, sensitive, and specific approach for cell-free DNA genomic profiling to supplement tissue testing and inform treatment decisions.
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Affiliation(s)
- Ellen L Verner
- Personal Genome Diagnostics (PGDx), Baltimore, Maryland.
| | | | - Eric Severson
- Enterprise Oncology, Labcorp, Durham, North Carolina
| | | | - Amy E Greer
- Personal Genome Diagnostics (PGDx), Baltimore, Maryland
| | - David R Riley
- Personal Genome Diagnostics (PGDx), Baltimore, Maryland
| | - Mark Sausen
- Personal Genome Diagnostics (PGDx), Baltimore, Maryland
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20
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Zhang F, Xu J, Yue Y, Wang Y, Sun J, Song D, Zhang C, Qu L, Zhu S, Zhang J, Yang B. Three-dimensional histological electrophoresis enables fast automatic distinguishment of cancer margins and lymph node metastases. SCIENCE ADVANCES 2023; 9:eadg2690. [PMID: 37390200 PMCID: PMC10313175 DOI: 10.1126/sciadv.adg2690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 05/25/2023] [Indexed: 07/02/2023]
Abstract
Tissue diagnosis is important during surgical excision of solid tumors for margin evaluation. Conventional histopathologic methods rely heavily on image-based visual diagnosis by specialized pathologists, which can be time-consuming and subjective. We report a three-dimensional (3D) histological electrophoresis system for rapid labeling and separation of the proteins within tissue sections, providing a more precise assessment of tumor-positive margin in surgically resected tissues. The 3D histological electrophoresis system uses a tumor-seeking dye labeling strategy to visualize the distribution of tumor-specific proteins within sections and a tumor finder that automatically predicts the tumor contour. We successfully demonstrated the system's capability to predict the tumor contours from five murine xenograft models and distinguish the tumor-invaded region of sentinel lymph nodes. Specifically, we used the system to accurately assess tumor-positive margins from 14 patients with cancer. Our 3D histological electrophoresis system serves as an intraoperative tissue assessment technology for more accurate and automatic pathologic diagnosis.
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Affiliation(s)
- Feiran Zhang
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Jiajun Xu
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Ying Yue
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Yajun Wang
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Jianing Sun
- School of Mathematics and Statistics, Northeast Normal University, Changchun 130024, P. R. China
| | - Dong Song
- Department of Breast Surgery, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Chengbin Zhang
- Department of Pathology, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Limei Qu
- Department of Pathology, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Shoujun Zhu
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Junhu Zhang
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Bai Yang
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China
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21
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Murray JC, Sivapalan L, Hummelink K, Balan A, White JR, Niknafs N, Rhymee L, Pereira G, Rao N, Phallen J, Leal A, Bartlett DL, Marrone KA, Naidoo J, Levy B, Rosner S, Hann CL, Scott SC, Feliciano J, Lam VK, Ettinger DS, Li QK, Illei PB, Monkhorst K, Zaidi AH, Scharpf RB, Brahmer JR, Velculescu VE, Forde PM, Anagnostou V. Elucidating the heterogeneity of immunotherapy response and immune-related toxicities by longitudinal ctDNA and immune cell compartment tracking in lung cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.23.546338. [PMID: 37425893 PMCID: PMC10327039 DOI: 10.1101/2023.06.23.546338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Purpose Although immunotherapy is the mainstay of therapy for advanced non-small cell lung cancer (NSCLC), robust biomarkers of clinical response are lacking. The heterogeneity of clinical responses together with the limited value of radiographic response assessments to timely and accurately predict therapeutic effect -especially in the setting of stable disease-call for the development of molecularly-informed real-time minimally invasive predictive biomarkers. In addition to capturing tumor regression, liquid biopsies may be informative in evaluating immune-related adverse events (irAEs). Experimental design We investigated longitudinal changes in circulating tumor DNA (ctDNA) in patients with metastatic NSCLC who received immunotherapy-based regimens. Using ctDNA targeted error-correction sequencing together with matched sequencing of white blood cells and tumor tissue, we tracked serial changes in cell-free tumor load (cfTL) and determined molecular response for each patient. Peripheral T-cell repertoire dynamics were serially assessed and evaluated together with plasma protein expression profiles. Results Molecular response, defined as complete clearance of cfTL, was significantly associated with progression-free (log-rank p=0.0003) and overall survival (log-rank p=0.01) and was particularly informative in capturing differential survival outcomes among patients with radiographically stable disease. For patients who developed irAEs, peripheral blood T-cell repertoire reshaping, assessed by significant TCR clonotypic expansions and regressions were noted on-treatment. Conclusions Molecular responses assist with interpretation of heterogeneous clinical responses especially for patients with stable disease. Our complementary assessment of the tumor and immune compartments by liquid biopsies provides an approach for monitoring of clinical benefit and immune-related toxicities for patients with NSCLC receiving immunotherapy. Statement of translational relevance Longitudinal dynamic changes in cell-free tumor load and reshaping of the peripheral T-cell repertoire capture clinical outcomes and immune-related toxicities during immunotherapy for patients with non-small cell lung cancer.
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22
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Sivapalan L, Iams WT, Belcaid Z, Scott SC, Niknafs N, Balan A, White JR, Kopparapu P, Cann C, Landon BV, Pereira G, Velculescu VE, Hann CL, Lovly CM, Anagnostou V. Dynamics of Sequence and Structural Cell-Free DNA Landscapes in Small-Cell Lung Cancer. Clin Cancer Res 2023; 29:2310-2323. [PMID: 37071497 PMCID: PMC10261918 DOI: 10.1158/1078-0432.ccr-22-2242] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 09/27/2022] [Accepted: 02/03/2023] [Indexed: 04/19/2023]
Abstract
PURPOSE Patients with small-cell lung cancer (SCLC) have an exceptionally poor prognosis, calling for improved real-time noninvasive biomarkers of therapeutic response. EXPERIMENTAL DESIGN We performed targeted error-correction sequencing on 171 serial plasmas and matched white blood cell (WBC) DNA from 33 patients with metastatic SCLC who received treatment with chemotherapy (n = 16) or immunotherapy-containing (n = 17) regimens. Tumor-derived sequence alterations and plasma aneuploidy were evaluated serially and combined to assess changes in total cell-free tumor load (cfTL). Longitudinal dynamic changes in cfTL were monitored to determine circulating cell-free tumor DNA (ctDNA) molecular response during therapy. RESULTS Combined tiered analyses of tumor-derived sequence alterations and plasma aneuploidy allowed for the assessment of ctDNA molecular response in all patients. Patients classified as molecular responders (n = 9) displayed sustained elimination of cfTL to undetectable levels. For 14 patients, we observed initial molecular responses, followed by ctDNA recrudescence. A subset of patients (n = 10) displayed a clear pattern of molecular progression, with persistence of cfTL across all time points. Molecular responses captured the therapeutic effect and long-term clinical outcomes in a more accurate and rapid manner compared with radiographic imaging. Patients with sustained molecular responses had longer overall (log-rank P = 0.0006) and progression-free (log-rank P < 0.0001) survival, with molecular responses detected on average 4 weeks earlier than imaging. CONCLUSIONS ctDNA analyses provide a precise approach for the assessment of early on-therapy molecular responses and have important implications for the management of patients with SCLC, including the development of improved strategies for real-time tumor burden monitoring. See related commentary by Pellini and Chaudhuri, p. 2176.
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Affiliation(s)
- Lavanya Sivapalan
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Wade T. Iams
- Division of Hematology-Oncology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Zineb Belcaid
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Susan C. Scott
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Noushin Niknafs
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Archana Balan
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - James R. White
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Prasad Kopparapu
- Division of Hematology-Oncology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Christopher Cann
- Division of Hematology-Oncology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Blair V. Landon
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Gavin Pereira
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Victor E. Velculescu
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Christine L. Hann
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Christine M. Lovly
- Division of Hematology-Oncology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Valsamo Anagnostou
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
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23
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Botsis T, Murray JC, Ghanem P, Balan A, Kernagis A, Hardart K, He T, Spiker J, Kreimeyer K, Tao J, Baras AS, Yegnasubramanian S, Canzoniero J, Anagnostou V. Precision Oncology Core Data Model to Support Clinical Genomics Decision Making. JCO Clin Cancer Inform 2023; 7:e2200108. [PMID: 37040583 PMCID: PMC10281442 DOI: 10.1200/cci.22.00108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 10/26/2022] [Accepted: 01/20/2023] [Indexed: 04/13/2023] Open
Abstract
PURPOSE Precision oncology mandates developing standardized common data models (CDMs) to facilitate analyses and enable clinical decision making. Expert-opinion-based precision oncology initiatives are epitomized in Molecular Tumor Boards (MTBs), which process large volumes of clinical-genomic data to match genotypes with molecularly guided therapies. METHODS We used the Johns Hopkins University MTB as a use case and developed a precision oncology core data model (Precision-DM) to capture key clinical-genomic data elements. We leveraged existing CDMs, building upon the Minimal Common Oncology Data Elements model (mCODE). Our model was defined as a set of profiles with multiple data elements, focusing on next-generation sequencing and variant annotations. Most elements were mapped to terminologies or code sets and the Fast Healthcare Interoperability Resources (FHIR). We subsequently compared our Precision-DM with existing CDMs, including the National Cancer Institute's Genomic Data Commons (NCI GDC), mCODE, OSIRIS, the clinical Genome Data Model (cGDM), and the genomic CDM (gCDM). RESULTS Precision-DM contained 16 profiles and 355 data elements. 39% of the elements derived values from selected terminologies or code sets, and 61% were mapped to FHIR. Although we used most elements contained in mCODE, we significantly expanded the profiles to include genomic annotations, resulting in a partial overlap of 50.7% between our core model and mCODE. Limited overlap was noted between Precision-DM and OSIRIS (33.2%), NCI GDC (21.4%), cGDM (9.3%), and gCDM (7.9%). Precision-DM covered most of the mCODE elements (87.7%), with less coverage for OSIRIS (35.8%), NCI GDC (11%), cGDM (26%) and gCDM (33.3%). CONCLUSION Precision-DM supports clinical-genomic data standardization to support the MTB use case and may allow for harmonized data pulls across health care systems, academic institutions, and community medical centers.
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Affiliation(s)
- Taxiarchis Botsis
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Joseph C. Murray
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Paola Ghanem
- Department of Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Archana Balan
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Alexander Kernagis
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Kent Hardart
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Ting He
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jonathan Spiker
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Kory Kreimeyer
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jessica Tao
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Alexander S. Baras
- Department of Pathology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Srinivasan Yegnasubramanian
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jenna Canzoniero
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Valsamo Anagnostou
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
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24
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Xiao J, Sharma U, Arab A, Miglani S, Bhalla S, Suguru S, Suter R, Mukherji R, Lippman ME, Pohlmann PR, Zeck JC, Marshall JL, Weinberg BA, He AR, Noel MS, Schlegel R, Goodarzi H, Agarwal S. Propagated Circulating Tumor Cells Uncover the Potential Role of NFκB, EMT, and TGFβ Signaling Pathways and COP1 in Metastasis. Cancers (Basel) 2023; 15:1831. [PMID: 36980717 PMCID: PMC10046547 DOI: 10.3390/cancers15061831] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 03/08/2023] [Accepted: 03/14/2023] [Indexed: 03/30/2023] Open
Abstract
Circulating tumor cells (CTCs), a population of cancer cells that represent the seeds of metastatic nodules, are a promising model system for studying metastasis. However, the expansion of patient-derived CTCs ex vivo is challenging and dependent on the collection of high numbers of CTCs, which are ultra-rare. Here we report the development of a combined CTC and cultured CTC-derived xenograft (CDX) platform for expanding and studying patient-derived CTCs from metastatic colon, lung, and pancreatic cancers. The propagated CTCs yielded a highly aggressive population of cells that could be used to routinely and robustly establish primary tumors and metastatic lesions in CDXs. Differential gene analysis of the resultant CTC models emphasized a role for NF-κB, EMT, and TGFβ signaling as pan-cancer signaling pathways involved in metastasis. Furthermore, metastatic CTCs were identified through a prospective five-gene signature (BCAR1, COL1A1, IGSF3, RRAD, and TFPI2). Whole-exome sequencing of CDX models and metastases further identified mutations in constitutive photomorphogenesis protein 1 (COP1) as a potential driver of metastasis. These findings illustrate the utility of the combined patient-derived CTC model and provide a glimpse of the promise of CTCs in identifying drivers of cancer metastasis.
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Affiliation(s)
- Jerry Xiao
- School of Medicine, Georgetown University, Washington, DC 20057, USA
- Department of Pathology, Center for Cell Reprogramming, Georgetown University, Washington, DC 20057, USA
| | - Utsav Sharma
- Lombardi Cancer Center, Georgetown University, Washington, DC 20057, USA
| | - Abolfazl Arab
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Sohit Miglani
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Sonakshi Bhalla
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Shravanthy Suguru
- Department of Pathology, Center for Cell Reprogramming, Georgetown University, Washington, DC 20057, USA
| | - Robert Suter
- Lombardi Cancer Center, Georgetown University, Washington, DC 20057, USA
| | - Reetu Mukherji
- Department of Medicine, The Ruesch Center for the Cure of Gastrointestinal Cancers, Georgetown University Medical Center, Washington, DC 20057, USA
| | - Marc E. Lippman
- Lombardi Cancer Center, Georgetown University, Washington, DC 20057, USA
| | - Paula R. Pohlmann
- Lombardi Cancer Center, Georgetown University, Washington, DC 20057, USA
| | - Jay C. Zeck
- Department of Pathology, Georgetown University Medical Center, Washington, DC 20057, USA
| | - John L. Marshall
- Department of Medicine, The Ruesch Center for the Cure of Gastrointestinal Cancers, Georgetown University Medical Center, Washington, DC 20057, USA
| | - Benjamin A. Weinberg
- Department of Medicine, The Ruesch Center for the Cure of Gastrointestinal Cancers, Georgetown University Medical Center, Washington, DC 20057, USA
| | - Aiwu Ruth He
- Department of Medicine, The Ruesch Center for the Cure of Gastrointestinal Cancers, Georgetown University Medical Center, Washington, DC 20057, USA
| | - Marcus S. Noel
- Department of Medicine, The Ruesch Center for the Cure of Gastrointestinal Cancers, Georgetown University Medical Center, Washington, DC 20057, USA
| | - Richard Schlegel
- Department of Pathology, Center for Cell Reprogramming, Georgetown University, Washington, DC 20057, USA
| | - Hani Goodarzi
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Seema Agarwal
- Department of Pathology, Center for Cell Reprogramming, Georgetown University, Washington, DC 20057, USA
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25
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Kuzbari Z, Bandlamudi C, Loveday C, Garrett A, Mehine M, George A, Hanson H, Snape K, Kulkarni A, Allen S, Jezdic S, Ferrandino R, Westphalen CB, Castro E, Rodon J, Mateo J, Burghel GJ, Berger MF, Mandelker D, Turnbull C. Germline-focused analysis of tumour-detected variants in 49,264 cancer patients: ESMO Precision Medicine Working Group recommendations. Ann Oncol 2023; 34:215-227. [PMID: 36529447 DOI: 10.1016/j.annonc.2022.12.003] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 12/01/2022] [Accepted: 12/11/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The European Society for Medical Oncology Precision Medicine Working Group (ESMO PMWG) was reconvened to update its 2018/19 recommendations on follow-up of putative germline variants detected on tumour-only sequencing, which were based on an analysis of 17 152 cancers. METHODS We analysed an expanded dataset including 49 264 paired tumour-normal samples. We applied filters to tumour-detected variants based on variant allele frequency, predicted pathogenicity and population variant frequency. For 58 cancer-susceptibility genes, we then examined the proportion of filtered tumour-detected variants of true germline origin [germline conversion rate (GCR)]. We conducted subanalyses based on the age of cancer diagnosis, specific tumour types and 'on-tumour' status (established tumour-gene association). RESULTS Analysis of 45 472 nonhypermutated solid malignancy tumour samples yielded 21 351 filtered tumour-detected variants of which 3515 were of true germline origin. 3.1% of true germline pathogenic variants were absent from the filtered tumour-detected variants. For genes such as BRCA1, BRCA2 and PALB2, the GCR in filtered tumour-detected variants was >80%; conversely for TP53, APC and STK11 this GCR was <2%. CONCLUSION Strategic germline-focused analysis can prioritise a subset of tumour-detected variants for which germline follow-up will produce the highest yield of most actionable true germline variants. We present updated recommendations around germline follow-up of tumour-only sequencing including (i) revision to 5% for the minimum per-gene GCR, (ii) inclusion of actionable intermediate penetrance genes ATM and CHEK2, (iii) definition of a set of seven 'most actionable' cancer-susceptibility genes (BRCA1, BRCA2, PALB2, MLH1, MSH2, MSH6 and RET) in which germline follow-up is recommended regardless of tumour type.
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Affiliation(s)
- Z Kuzbari
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - C Bandlamudi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | - C Loveday
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK. https://twitter.com/LovedayChey
| | - A Garrett
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK. https://twitter.com/DrAliceGarrett
| | - M Mehine
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | - A George
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; The Royal Marsden NHS Foundation Trust, London, UK
| | - H Hanson
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; South West Thames Regional Genetics Service, St George's University Hospitals NHS Foundation Trust, London, UK
| | - K Snape
- South West Thames Regional Genetics Service, St George's University Hospitals NHS Foundation Trust, London, UK. https://twitter.com/genetikos
| | - A Kulkarni
- South East Thames Regional Genetics Service, Guy's and St Thomas' NHS Foundation Trust, London, UK. https://twitter.com/Anju__Kulkarni
| | - S Allen
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - S Jezdic
- Scientific and Medical Division, European Society for Medical Oncology, Lugano, Switzerland
| | - R Ferrandino
- Scientific and Medical Division, European Society for Medical Oncology, Lugano, Switzerland
| | - C B Westphalen
- Department of Medicine III and Comprehensive Cancer Center (CCC Munich LMU) University Hospital, LMU Munich, Munich, Germany
| | - E Castro
- Genitourinary Cancers Translational Research Group, Institute of Biomedical Research in Málaga (IBIMA), Málaga, Spain. https://twitter.com/Ecastromarcos
| | - J Rodon
- Investigational Cancer Therapeutics, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - J Mateo
- Vall d'Hebron Institute of Oncology (VHIO), Barcelona; Vall d'Hebron University Hospital, Barcelona, Spain
| | - G J Burghel
- North West Genomic Laboratory Hub, Manchester University NHS Foundation Trust, Manchester, UK. https://twitter.com/BurghelG
| | - M F Berger
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | - D Mandelker
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | - C Turnbull
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; The Royal Marsden NHS Foundation Trust, London, UK.
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Tanaka J, Nakagawa T, Harada K, Morizane C, Tanaka H, Shiba S, Ohba A, Hijioka S, Takai E, Yachida S, Kamura Y, Ishida T, Yokoi T, Uematsu C. Efficient and accurate KRAS genotyping using digital PCR combined with melting curve analysis for ctDNA from pancreatic cancer patients. Sci Rep 2023; 13:3039. [PMID: 36810451 PMCID: PMC9944920 DOI: 10.1038/s41598-023-30131-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 02/16/2023] [Indexed: 02/23/2023] Open
Abstract
A highly sensitive and highly multiplexed quantification technique for nucleic acids is necessary to predict and evaluate cancer treatment by liquid biopsy. Digital PCR (dPCR) is a highly sensitive quantification technique, but conventional dPCR discriminates multiple targets by the color of the fluorescent dye of the probe, which limits multiplexing beyond the number of colors of fluorescent dyes. We previously developed a highly multiplexed dPCR technique combined with melting curve analysis. Herein, we improved the detection efficiency and accuracy of multiplexed dPCR with melting curve analysis to detect KRAS mutations in circulating tumor DNA (ctDNA) prepared from clinical samples. The mutation detection efficiency was increased from 25.9% of the input DNA to 45.2% by shortening the amplicon size. The limit of detection of mutation was improved from 0.41 to 0.06% by changing the mutation type determination algorithm for G12A, resulting in a limit of detection of less than 0.2% for all the target mutations. Then, ctDNA in plasma from pancreatic cancer patients was measured and genotyped. The measured mutation frequencies correlated well with those measured by conventional dPCR, which can measure only the total frequency of KRAS mutants. KRAS mutations were detected in 82.3% of patients with liver or lung metastasis, which was consistent with other reports. Accordingly, this study demonstrated the clinical utility of multiplex dPCR with melting curve analysis to detect and genotype ctDNA from plasma with sufficient sensitivity.
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Affiliation(s)
- Junko Tanaka
- Center for Digital Services - Healthcare, Research & Development Group, Hitachi, Ltd., 1-280, Higashi-Koigakubo, Kokubunji, Tokyo, 185-8601, Japan.
| | - Tatsuo Nakagawa
- Center for Digital Services - Healthcare, Research & Development Group, Hitachi, Ltd., 1-280, Higashi-Koigakubo, Kokubunji, Tokyo, 185-8601, Japan
| | - Kunio Harada
- Center for Digital Services - Healthcare, Research & Development Group, Hitachi, Ltd., 1-280, Higashi-Koigakubo, Kokubunji, Tokyo, 185-8601, Japan
| | - Chigusa Morizane
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Hidenori Tanaka
- Department of Cancer Genome Informatics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan
- Department of Otorhinolaryngology-Head and Neck Surgery, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Satoshi Shiba
- Division of Genomic Medicine, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Akihiro Ohba
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Susumu Hijioka
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Erina Takai
- Department of Cancer Genome Informatics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Shinichi Yachida
- Department of Cancer Genome Informatics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan
- Division of Genomic Medicine, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Yoshio Kamura
- Center for Digital Services - Healthcare, Research & Development Group, Hitachi, Ltd., 1-280, Higashi-Koigakubo, Kokubunji, Tokyo, 185-8601, Japan
| | - Takeshi Ishida
- Center for Digital Services - Healthcare, Research & Development Group, Hitachi, Ltd., 1-280, Higashi-Koigakubo, Kokubunji, Tokyo, 185-8601, Japan
| | - Takahide Yokoi
- Center for Digital Services - Healthcare, Research & Development Group, Hitachi, Ltd., 1-280, Higashi-Koigakubo, Kokubunji, Tokyo, 185-8601, Japan
| | - Chihiro Uematsu
- Center for Digital Services - Healthcare, Research & Development Group, Hitachi, Ltd., 1-280, Higashi-Koigakubo, Kokubunji, Tokyo, 185-8601, Japan
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Gillis N, Etheridge AS, Patil SA, Hayes DN, Hayward MC, Auman JT, Parker JS, Innocenti F. Sequencing of genes of drug response in tumor DNA and implications for precision medicine in cancer patients. THE PHARMACOGENOMICS JOURNAL 2023:10.1038/s41397-023-00299-7. [PMID: 36709390 DOI: 10.1038/s41397-023-00299-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 01/17/2023] [Accepted: 01/19/2023] [Indexed: 01/30/2023]
Abstract
Tumor DNA sequencing is becoming standard-of-care for patient treatment decisions. We evaluated genotype concordance between tumor DNA and genomic DNA from blood and catalogued functional effects of somatic mutations in 21 drug response genes in 752 solid tumor patients. Using a threshold of 10% difference between tumor and blood DNA variant allele fraction (VAF), concordance for heterogenous genotype calls was 78% and increased to 97.5% using a 30% VAF threshold. Somatic mutations were observed in all 21 drug response genes, and 44% of patients had at least one somatic mutation in these genes. In tumor DNA, eight patients had a frameshift mutation in CYP2C8, which metabolizes taxanes. Overall, somatic copy number losses were more frequent than gains, including for CYP2C19 and CYP2D6 which had the most frequent copy number losses. However, copy number gains in TPMT were more than four times as common as losses. Seven % of patients had copy number gains in ABCB1, a multidrug resistance transporter of anti-cancer agents. These results demonstrate tumor-only DNA sequencing might not be reliable to call germline genotypes of drug response variants.
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Affiliation(s)
- Nancy Gillis
- Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.,Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Amy S Etheridge
- Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.
| | - Sushant A Patil
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - D Neil Hayes
- Department of Medicine, Hematology/Oncology, University of North Carolina, Chapel Hill, NC, USA.,Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.,Center for Cancer Research, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Michele C Hayward
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - J Todd Auman
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Joel S Parker
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Federico Innocenti
- Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.,Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
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Lahiri S, Pirzadeh-Miller S, Moriarty K, Kubiliun N. Implementation of a Population-Based Cancer Family History Screening Program for Lynch Syndrome. Cancer Control 2023; 30:10732748231175011. [PMID: 37161761 DOI: 10.1177/10732748231175011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023] Open
Abstract
OBJECTIVES Lynch syndrome increases risks for colorectal and other cancers. Though published Lynch syndrome cancer risk-management guidelines are effective for risk-reduction, the condition remains under-recognized. The Cancer Genetics Program at an academic medical center implemented a population-based cancer family history screening program, Detecting Unaffected Individuals with Lynch syndrome, to aid in identification of individuals with Lynch syndrome. METHODS In this retrospective cohort study, simple cancer family history screening questionnaires were used to identify those at risk for Lynch syndrome. Program navigators triaged and educated those who screened positive about hereditary cancer, and genetic counseling and testing services, offering genetic counseling if eligible. Genetic counseling was provided primarily via telephone. Genetic counselors performed hereditary cancer risk assessment and offered genetic testing via hereditary cancer panels to those eligible. Remote service delivery models via telephone genetic counseling and at-home saliva testing were used to increase access to medical genetics services. RESULTS This program screened 212,827 individuals, over half of whom were considered underserved, and identified 133 clinically actionable genetic variants associated with hereditary cancer. Of these, 47 (35%) were associated with Lynch syndrome while notably, 70 (53%) were not associated with hereditary colorectal cancer. Of 3,344 patients offered genetic counseling after initial triage, 2,441 (73%) elected to schedule the appointment and 1,775 individuals (73%) completed genetic counseling. Among underserved patients, telephone genetic counseling completion rates were significantly higher than in-person appointment completion rates (P < .05). While remote service delivery improved appointment completion rates, challenges with genetic test completion using at-home saliva sample collection kits were observed, with 242 of 1592 individuals (15%) not completing testing. CONCLUSION Population-based cancer family history screening and navigation can help identify individuals with hereditary cancer syndromes across diverse patient populations, but logistics of certain downstream service delivery models can impact outcomes.
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Affiliation(s)
- Sayoni Lahiri
- Department of Cancer Genetics, UT Southwestern Medical Center, Dallas, TX, USA
| | | | - Kelsey Moriarty
- Department of Cancer Genetics, UT Southwestern Medical Center, Dallas, TX, USA
| | - Nisa Kubiliun
- Division of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas, TX, USA
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29
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Roggia C, Armeanu-Ebinger S, Gschwind A, Seibel-Kelemen O, Hertler S, Faust U, Liebmann A, Haack TB, Neumann M, Bonzheim I, Forschner A, Kopp HG, Herster F, Hartkopf A, Bitzer M, Malek NP, Brecht IB, Ruhm K, Möller Y, Löwenheim H, Ossowski S, Rieß OH, Schroeder C. Germline findings in patients with advanced malignancies screened with paired blood-tumour testing for personalised treatment approaches. Eur J Cancer 2023; 179:48-55. [PMID: 36495689 DOI: 10.1016/j.ejca.2022.11.003] [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: 07/01/2022] [Revised: 10/18/2022] [Accepted: 11/02/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND Sequencing of tumour tissue with comprehensive gene panels is increasingly used to guide treatment in precision oncology. Analysis of tumour-normal pairs allows in contrast to tumour-only assessment direct discrimination between somatic and germline alterations, which might have important implications not only for the patients but also their families. METHODS We performed tumour normal sequencing with a large gene panel in 1048 patients with advanced cancer to support treatment decision. Sequencing results were correlated with clinical and family data. RESULTS We identified 156 likely pathogenic or pathogenic (LP/P) germline variants in cancer predisposition genes (CPGs) in 144 cases (13.7%). Of all patients, 8.8% had a LP/P variant in autosomal-dominant cancer predisposition genes (AD-CPGs), most of them being genes with high or moderate penetrance (ATM, BRCA2, CHEK2 and BRCA1). In 48 cases, the P/LP variant matched the expected tumour spectrum. A second variant in tumour tissue was found in 31 patients with AD-CPG variants. Low frequency mutations in either TP53, ATM or DNMT3A in the normal sample indicated clonal haematopoiesis in five cases. CONCLUSIONS Tumour-normal testing for personalised treatment identifies germline LP/P variants in a relevant proportion of patients with cancer. The majority of them would not have been referred to genetic counselling based on family history. Indirect functional readouts of tumour-normal sequencing can provide novel links between CPGs and unexpected cancers. The interpretation of increasingly complex datasets in precision oncology is challenging and concepts of interdisciplinary personalised cancer prevention are needed to support patients and their families.
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Affiliation(s)
- Cristiana Roggia
- Institute of Medical Genetics and Applied Genomics, University Hospital and Medical Faculty Tübingen, Tübingen, Germany.
| | - Sorin Armeanu-Ebinger
- Institute of Medical Genetics and Applied Genomics, University Hospital and Medical Faculty Tübingen, Tübingen, Germany
| | - Axel Gschwind
- Institute of Medical Genetics and Applied Genomics, University Hospital and Medical Faculty Tübingen, Tübingen, Germany
| | - Olga Seibel-Kelemen
- Institute of Medical Genetics and Applied Genomics, University Hospital and Medical Faculty Tübingen, Tübingen, Germany
| | - Sonja Hertler
- Institute of Medical Genetics and Applied Genomics, University Hospital and Medical Faculty Tübingen, Tübingen, Germany
| | - Ulrike Faust
- Institute of Medical Genetics and Applied Genomics, University Hospital and Medical Faculty Tübingen, Tübingen, Germany
| | - Alexandra Liebmann
- Institute of Medical Genetics and Applied Genomics, University Hospital and Medical Faculty Tübingen, Tübingen, Germany
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University Hospital and Medical Faculty Tübingen, Tübingen, Germany
| | - Manuela Neumann
- Institute of Pathology and Neuropathology, University Hospital Tübingen, Tübingen, Germany
| | - Irina Bonzheim
- Institute of Pathology and Neuropathology, University Hospital Tübingen, Tübingen, Germany
| | - Andrea Forschner
- Department of Dermatology, University Hospital Tübingen, Tübingen, Germany
| | - Hans-Georg Kopp
- Robert Bosch Center for Tumor Diseases (RBCT) Robert Bosch Cancer Center, Stuttgart, Germany
| | - Franziska Herster
- Robert Bosch Center for Tumor Diseases (RBCT) Robert Bosch Cancer Center, Stuttgart, Germany
| | - Andreas Hartkopf
- Department of Gynecology, University Hospital Tübingen, Tübingen, Germany
| | - Michael Bitzer
- Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Nisar P Malek
- Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Ines B Brecht
- Department of General Pediatrics, Pediatric Hematology and Oncology, University Hospital Tübingen, Tübingen, Germany
| | - Kristina Ruhm
- Center for Personalized Medicine, University of Tübingen, Tübingen, Germany
| | - Yvonne Möller
- Center for Personalized Medicine, University of Tübingen, Tübingen, Germany
| | - Hubert Löwenheim
- Department of Otolaryngology-Head & Neck Surgery, University Hospital Tübingen, Tübingen, Germany
| | - Stephan Ossowski
- Institute of Medical Genetics and Applied Genomics, University Hospital and Medical Faculty Tübingen, Tübingen, Germany
| | - Olaf H Rieß
- Institute of Medical Genetics and Applied Genomics, University Hospital and Medical Faculty Tübingen, Tübingen, Germany
| | - Christopher Schroeder
- Institute of Medical Genetics and Applied Genomics, University Hospital and Medical Faculty Tübingen, Tübingen, Germany
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Kim JW, Kang HE, Choi J, Yun SG, Jung SP, Bae SY, You JY, Choi YJ, Kim YH, Park KH. Genomic Signatures from Clinical Tumor Sequencing in Patients with Breast Cancer Having Germline BRCA1/2 Mutation. Cancer Res Treat 2023; 55:155-166. [PMID: 35681111 PMCID: PMC9873314 DOI: 10.4143/crt.2021.1567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 06/06/2022] [Indexed: 02/04/2023] Open
Abstract
PURPOSE BRCA1 and BRCA2 are among the most important genes involved in DNA repair via homologous recombination (HR). Germline BRCA1/2 (gBRCA1/2)-related cancers have specific characteristics and treatment options but conducting gBRCA1/2 testing and interpreting the genetic imprint are sometimes complicated. Here, we describe the concordance of gBRCA1/2 derived from a panel of clinical tumor tissues using next-generation sequencing (NGS) and genetic aspects of tumors harboring gBRCA1/2 pathogenic variants. MATERIALS AND METHODS Targeted sequencing was performed using available tumor tissue from patients who underwent gBRCA1/2 testing. Comparative genomic analysis was performed according to gBRCA1/2 pathogenicity. RESULTS A total of 321 patients who underwent gBRCA1/2 testing were screened, and 26 patients with gBRCA1/2 pathogenic (gBRCA1/2p) variants, eight patients with gBRCA1/2 variants of uncertain significance (VUS; gBRCA1/2v), and 43 patients with gBRCA1/2 wild-type (gBRCA1/2w) were included in analysis. Mutations in TP53 (49.4%) and PIK3CA (23.4%) were frequently detected in all samples. The number of single-nucleotide variants (SNVs) per tumor tissue was higher in the gBRCA1/2w group than that in the gBRCA1/2p group (14.81 vs. 18.86, p=0.278). Tumor mutation burden (TMB) was significantly higher in the gBRCA1/2w group than in the gBRCA1/2p group (10.21 vs. 13.47, p=0.017). Except for BRCA1/2, other HR-related genes were frequently mutated in patients with gBRCA1/2w. CONCLUSION We demonstrated high sensitivity of gBRCA1/2 in tumors analyzed by NGS using a panel of tumor tissues. TMB value and aberration of non-BRCA1/2 HR-related genes differed significantly according to gBRCA1/2 pathogenicity in patients with breast cancer.
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Affiliation(s)
- Ju Won Kim
- Division of Medical Oncology and Hematology, Department of Internal Medicine, Korea University Anam Hospital, Seoul,
Korea
| | - Hyo Eun Kang
- K-MASTER Cancer Precision Medicine Diagnosis and Treatment Enterprise, Korea University Medical Center, Seoul,
Korea
| | - Jimi Choi
- Division of Endocrinology, Department of Internal Medicine, Korea University Anam Hospital, Seoul,
Korea
| | - Seung Gyu Yun
- Department of Laboratory Medicine, Korea University Anam Hospital, Seoul,
Korea
| | - Seung Pil Jung
- Department of Breast Surgery, Korea University Anam Hospital, Seoul,
Korea
| | - Soo Yeon Bae
- Department of Breast Surgery, Korea University Anam Hospital, Seoul,
Korea
| | - Ji Young You
- Department of Breast Surgery, Korea University Anam Hospital, Seoul,
Korea
| | - Yoon-Ji Choi
- Division of Medical Oncology and Hematology, Department of Internal Medicine, Korea University Anam Hospital, Seoul,
Korea
| | - Yeul Hong Kim
- Division of Medical Oncology and Hematology, Department of Internal Medicine, Korea University Anam Hospital, Seoul,
Korea
| | - Kyong Hwa Park
- Division of Medical Oncology and Hematology, Department of Internal Medicine, Korea University Anam Hospital, Seoul,
Korea
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Hewitt DB, Aziz H, Brown ZJ, Pawlik TM. Role of genetic testing in hepatic, pancreatic, and biliary cancers. Surg Oncol 2022; 44:101844. [PMID: 36116416 DOI: 10.1016/j.suronc.2022.101844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 08/21/2022] [Accepted: 08/24/2022] [Indexed: 12/24/2022]
Abstract
Hepatic, pancreatic, and biliary (HPB) cancers, including hepatocellular carcinoma (HCC), pancreatic ductal adenocarcinoma (PDAC), and cholangiocarcinoma (CCA) cause a disproportionate amount of the global cancer-related mortality. Despite advances in surgical technique and improved systemic therapies, overall 5-year survival remains dismal, especially for patients with pancreatic and biliary cancer. Historically, systemic therapies for patients with HPB cancers were administered in a "one-size-fits-all" approach due to limited reliable data on efficacy for specific patient populations. However, recent advances in genetic testing techniques have greatly improved our understanding of HPB oncogenesis, shedding light on specific genetic mutations responsible for progression from physiologic cellular regulation to uninhibited cellular replication and invasive cancer. Investigations into the oncogenesis of HPB cancers have revealed multiple actionable genetic variants, as well as increased susceptibilities to currently available systemic therapies. For example, patients with PDAC and a known BRCA mutation are more likely to benefit from FOLFIRINOX or gemcitabine plus cisplatin. While patients with CCA and a IDH1 mutation may benefit from ivosidenib. As a result, many national and societal guidelines now recommend some form of genetic testing in the workup of patients with HPB cancers. We herein review the role of genetic testing in these aggressive cancers including DNA sequencing techniques, clinically relevant mutations, therapeutic implications, and current clinical recommendations.
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Affiliation(s)
- D Brock Hewitt
- Department of Surgery, The Ohio State Wexner Medical Center, Columbus, OH, USA
| | - Hassan Aziz
- Department of Surgery, Tufts University Medical Center, Boston, MA, USA
| | - Zachary J Brown
- Department of Surgery, The Ohio State Wexner Medical Center, Columbus, OH, USA
| | - Timothy M Pawlik
- Department of Surgery, The Ohio State Wexner Medical Center, Columbus, OH, USA.
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White JA, Kaninjing ET, Adeniji KA, Jibrin P, Obafunwa JO, Ogo CN, Mohammed F, Popoola A, Fatiregun OA, Oluwole OP, Karanam B, Elhussin I, Ambs S, Tang W, Davis M, Polak P, Campbell MJ, Brignole KR, Rotimi SO, Dean-Colomb W, Odedina FT, Martin DN, Yates C. Whole-exome Sequencing of Nigerian Prostate Tumors from the Prostate Cancer Transatlantic Consortium (CaPTC) Reveals DNA Repair Genes Associated with African Ancestry. CANCER RESEARCH COMMUNICATIONS 2022; 2:1005-1016. [PMID: 36922933 PMCID: PMC10010347 DOI: 10.1158/2767-9764.crc-22-0136] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/23/2022] [Accepted: 08/08/2022] [Indexed: 12/30/2022]
Abstract
In this study, we used whole-exome sequencing of a cohort of 45 advanced-stage, treatment-naïve Nigerian (NG) primary prostate cancer tumors and 11 unmatched nontumor tissues to compare genomic mutations with African American (AA) and European American (EA) The Cancer Genome Atlas (TCGA) prostate cancer. NG samples were collected from six sites in central and southwest Nigeria. After whole-exome sequencing, samples were processed using GATK best practices. BRCA1 (100%), BARD1 (45%), BRCA2 (27%), and PMS2(18%) had germline alterations in at least two NG nontumor samples. Across 111 germline variants, the AA cohort reflected a pattern [BRCA1 (68%), BARD1 (34%), BRCA2 (28%), and PMS2 (16%)] similar to NG samples. Of the most frequently mutated genes, BRCA1 showed a statistically (P ≤ 0.05) higher germline mutation frequency in men of African ancestry (MAA) and increasing variant frequency with increased African ancestry. Disaggregating gene-level mutation frequencies by variants revealed both ancestry-linked and NG-specific germline variant patterns. Driven by rs799917 (T>C), BRCA1 showed an increasing mutation frequency as African ancestry increased. BRCA2_rs11571831 was present only in MAA, and BRCA2_rs766173 was elevated in NG men. A total of 133 somatic variants were present in 26 prostate cancer-associated genes within the NG tumor cohort. BRCA2 (27%), APC (20%), ATM (20%), BRCA1 (13%), DNAJC6 (13%), EGFR (13%), MAD1L1 (13%), MLH1 (11%), and PMS2 (11%) showed mutation frequencies >10%. Compared with TCGA cohorts, NG tumors showed statistically significant elevated frequencies of BRCA2, APC, and BRCA1. The NG cohort variant pattern shared similarities (cosign similarities ≥0.734) with Catalogue of Somatic Mutations in Cancer signatures 5 and 6, and mutated genes showed significant (q < 0.001) gene ontology (GO) and functional enrichment in mismatch repair and non-homologous repair deficiency pathways. Here, we showed that mutations in DNA damage response genes were higher in NG prostate cancer samples and that a portion of those mutations correlate with African ancestry. Moreover, we identified variants of unknown significance that may contribute to population-specific routes of tumorigenesis and treatment. These results present the most comprehensive characterization of the NG prostate cancer exome to date and highlight the need to increase diversity of study populations. Significance MAA have higher rates of prostate cancer incidence and mortality, however, are severely underrepresented in genomic studies. This is the first study utilizing whole-exome sequencing in NG men to identify West African ancestry-linked variant patterns that impact DNA damage repair pathways.
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Affiliation(s)
- Jason A White
- Tuskegee University, Center for Cancer Research, Tuskegee, Alabama
| | | | | | | | - John O Obafunwa
- Lagos State University Teaching Hospital, Ikeja, Lagos, Nigeria
| | | | | | | | | | | | | | - Isra Elhussin
- Tuskegee University, Center for Cancer Research, Tuskegee, Alabama
| | - Stefan Ambs
- Molecular Epidemiology Section, Laboratory of Human Carcinogenesis, Center for Cancer Research, NCI, Bethesda, Maryland
| | - Wei Tang
- Molecular Epidemiology Section, Laboratory of Human Carcinogenesis, Center for Cancer Research, NCI, Bethesda, Maryland
| | - Melissa Davis
- Department of Surgery, New York Presbyterian - Weill Cornell Medicine, New York, New York
| | | | - Moray J Campbell
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, Ohio
| | | | | | - Windy Dean-Colomb
- Tuskegee University, Center for Cancer Research, Tuskegee, Alabama.,Piedmont Medical Oncology - Newnan, Newnan, Georgia
| | - Folake T Odedina
- Center for Health Equity and Community Engagement Research, Mayo Clinic, Jacksonville, Florida
| | - Damali N Martin
- Division of Cancer Control and Population Sciences, NCI, Rockville, Maryland
| | - Clayton Yates
- Tuskegee University, Center for Cancer Research, Tuskegee, Alabama
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Ceyhan-Birsoy O, Jayakumaran G, Kemel Y, Misyura M, Aypar U, Jairam S, Yang C, Li Y, Mehta N, Maio A, Arnold A, Salo-Mullen E, Sheehan M, Syed A, Walsh M, Carlo M, Robson M, Offit K, Ladanyi M, Reis-Filho JS, Stadler ZK, Zhang L, Latham A, Zehir A, Mandelker D. Diagnostic yield and clinical relevance of expanded genetic testing for cancer patients. Genome Med 2022; 14:92. [PMID: 35971132 PMCID: PMC9377129 DOI: 10.1186/s13073-022-01101-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 08/03/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Genetic testing (GT) for hereditary cancer predisposition is traditionally performed on selected genes based on established guidelines for each cancer type. Recently, expanded GT (eGT) using large hereditary cancer gene panels uncovered hereditary predisposition in a greater proportion of patients than previously anticipated. We sought to define the diagnostic yield of eGT and its clinical relevance in a broad cancer patient population over a 5-year period. METHODS A total of 17,523 cancer patients with a broad range of solid tumors, who received eGT at Memorial Sloan Kettering Cancer Center between July 2015 to April 2020, were included in the study. The patients were unselected for current GT criteria such as cancer type, age of onset, and/or family history of disease. The diagnostic yield of eGT was determined for each cancer type. For 9187 patients with five common cancer types frequently interrogated for hereditary predisposition (breast, colorectal, ovarian, pancreatic, and prostate cancer), the rate of pathogenic/likely pathogenic (P/LP) variants in genes that have been associated with each cancer type was analyzed. The clinical implications of additional findings in genes not known to be associated with a patients' cancer type were investigated. RESULTS 16.7% of patients in a broad cancer cohort had P/LP variants in hereditary cancer predisposition genes identified by eGT. The diagnostic yield of eGT in patients with breast, colorectal, ovarian, pancreatic, and prostate cancer was 17.5%, 15.3%, 24.2%, 19.4%, and 15.9%, respectively. Additionally, 8% of the patients with five common cancers had P/LP variants in genes not known to be associated with the patient's current cancer type, with 0.8% of them having such a variant that confers a high risk for another cancer type. Analysis of clinical and family histories revealed that 74% of patients with variants in genes not associated with their current cancer type but which conferred a high risk for another cancer did not meet the current GT criteria for the genes harboring these variants. One or more variants of uncertain significance were identified in 57% of the patients. CONCLUSIONS Compared to targeted testing approaches, eGT can increase the yield of detection of hereditary cancer predisposition in patients with a range of tumors, allowing opportunities for enhanced surveillance and intervention. The benefits of performing eGT should be weighed against the added number of VUSs identified with this approach.
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Affiliation(s)
- Ozge Ceyhan-Birsoy
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gowtham Jayakumaran
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yelena Kemel
- Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maksym Misyura
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Umut Aypar
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sowmya Jairam
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ciyu Yang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yirong Li
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nikita Mehta
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anna Maio
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Angela Arnold
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Erin Salo-Mullen
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Margaret Sheehan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Aijazuddin Syed
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael Walsh
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria Carlo
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mark Robson
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marc Ladanyi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zsofia K Stadler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Liying Zhang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Present Address: Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA, USA
| | - Alicia Latham
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ahmet Zehir
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Present Address: Precision Medicine and Biosamples, Oncology R&D, AstraZeneca, New York, NY, USA.
| | - Diana Mandelker
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Ceyhan-Birsoy O. Germline Testing for the Evaluation of Hereditary Cancer Predisposition. Clin Lab Med 2022; 42:497-506. [DOI: 10.1016/j.cll.2022.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Analytical Validation of a Computational Method for Pharmacogenetic Genotyping from Clinical Whole Exome Sequencing. J Mol Diagn 2022; 24:576-585. [PMID: 35452844 DOI: 10.1016/j.jmoldx.2022.03.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/31/2022] [Accepted: 03/04/2022] [Indexed: 12/24/2022] Open
Abstract
Germline whole exome sequencing from molecular tumor boards has the potential to be repurposed to support clinical pharmacogenomics. However, accurately calling pharmacogenomics-relevant genotypes from exome sequencing data remains challenging. Accordingly, this study assessed the analytical validity of the computational tool, Aldy, in calling pharmacogenomics-relevant genotypes from exome sequencing data for 13 major pharmacogenes. Germline DNA from whole blood was obtained for 164 subjects seen at an institutional molecular solid tumor board. All subjects had whole exome sequencing from Ashion Analytics and panel-based genotyping from an institutional pharmacogenomics laboratory. Aldy version 3.3 was operationalized on the LifeOmic Precision Health Cloud with copy number fixed to two copies per gene. Aldy results were compared with those from genotyping for 56 star allele-defining variants within CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, CYP4F2, DPYD, G6PD, NUDT15, SLCO1B1, and TPMT. Read depth was >100× for all variants except CYP3A4∗22. For 75 subjects in the validation cohort, all 3393 Aldy variant calls were concordant with genotyping. Aldy calls for 736 diplotypes containing alleles assessed by both platforms were also concordant. Aldy identified additional star alleles not covered by targeted genotyping for 139 diplotypes. Aldy accurately called variants and diplotypes for 13 major pharmacogenes, except for CYP2D6 variants involving copy number variations, thus allowing repurposing of whole exome sequencing to support clinical pharmacogenomics.
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Automated next-generation profiling of genomic alterations in human cancers. Nat Commun 2022; 13:2830. [PMID: 35595835 PMCID: PMC9123004 DOI: 10.1038/s41467-022-30380-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 04/27/2022] [Indexed: 11/08/2022] Open
Abstract
The lack of validated, distributed comprehensive genomic profiling assays for patients with cancer inhibits access to precision oncology treatment. To address this, we describe elio tissue complete, which has been FDA-cleared for examination of 505 cancer-related genes. Independent analyses of clinically and biologically relevant sequence changes across 170 clinical tumor samples using MSK-IMPACT, FoundationOne, and PCR-based methods reveals a positive percent agreement of >97%. We observe high concordance with whole-exome sequencing for evaluation of tumor mutational burden for 307 solid tumors (Pearson r = 0.95) and comparison of the elio tissue complete microsatellite instability detection approach with an independent PCR assay for 223 samples displays a positive percent agreement of 99%. Finally, evaluation of amplifications and translocations against DNA- and RNA-based approaches exhibits >98% negative percent agreement and positive percent agreement of 86% and 82%, respectively. These methods provide an approach for pan-solid tumor comprehensive genomic profiling with high analytical performance.
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Yap TA, Ashok A, Stoll J, Mauer E, Nepomuceno VM, Blackwell KL, Garber JE, Meric-Bernstam F. Prevalence of Germline Findings Among Tumors From Cancer Types Lacking Hereditary Testing Guidelines. JAMA Netw Open 2022; 5:e2213070. [PMID: 35594047 PMCID: PMC9123503 DOI: 10.1001/jamanetworkopen.2022.13070] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
IMPORTANCE Germline testing guidelines are suggested for specific disease types or a family history of cancer, yet alterations are found in cancer types in which germline testing is not routinely indicated. The clinical role of identifying germline variants in these populations is valuable to patients and their at-risk relatives. OBJECTIVE To evaluate the prevalence of germline findings in patients undergoing tumor/normal matched sequencing among cancer types lacking guidelines. DESIGN, SETTING, AND PARTICIPANTS This retrospective cross-sectional study took place on August 18, 2021, and included data from deidentified records of patients tested, using the Tempus xT tumor/normal matched approach from November 2017 to August 2021. Records included in this study were from 34 642 patients treated in geographically diverse oncology practices in the US with a diagnosis of any of the following cancers: bladder, brain, lung, esophagus, cholangiocarcinoma, head and neck, breast, ovarian, pancreatic, prostate, endometrial, and colorectal. MAIN OUTCOMES AND MEASURES The rate of germline findings (ie, single-nucleotide variants and small insertions or deletions) detected in 50 reportable hereditary cancer genes was calculated for cancer types lacking guidelines for germline testing (bladder, brain, lung, esophagus, cholangiocarcinoma, and head and neck) and cancer types for which germline testing is frequently performed (breast, ovarian, pancreatic, prostate, endometrial, and colorectal). Same-gene second somatic hits were assessed to provide a comprehensive assessment on genomic drivers. RESULTS Of 34 642 patients, 18 888 were female (54.5%); of 27 498 patients whose age at diagnosis was known, mean (SD) age was 62.23 (3.36) years. A total of 2534 of 34 642 patients (7.3%) harbored pathogenic or likely pathogenic germline variants. Within the tumor types lacking testing guidelines, germline mutations were at 6.6% (79/1188) in bladder cancer and 5.8% (448/7668) in lung cancer. CONCLUSIONS AND RELEVANCE This study may present the largest retrospective analysis to date of deidentified real-world data from patients diagnosed with advanced cancer with tumor/normal matched sequencing data and the prevalence of pathogenic or likely pathogenic germline variants in cancer types lacking hereditary cancer testing guidelines. The findings suggest there may be clinical implications for patients and their at-risk family members in cancers for which germline assessment primarily based on the cancer diagnosis is rarely obtained.
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Affiliation(s)
- Timothy A. Yap
- Department of Investigational Cancer Therapeutics, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston
| | | | | | | | | | | | | | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston
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Abstract
Distilling biologically meaningful information from cancer genome sequencing data requires comprehensive identification of somatic alterations using rigorous computational methods. As the amount and complexity of sequencing data have increased, so has the number of tools for analysing them. Here, we describe the main steps involved in the bioinformatic analysis of cancer genomes, review key algorithmic developments and highlight popular tools and emerging technologies. These tools include those that identify point mutations, copy number alterations, structural variations and mutational signatures in cancer genomes. We also discuss issues in experimental design, the strengths and limitations of sequencing modalities and methodological challenges for the future.
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Quy PN, Fukuyama K, Kanai M, Kou T, Kondo T, Yoshioka M, Matsubara J, Sakuma T, Minamiguchi S, Matsumoto S, Muto M. Inter-assay variability of next-generation sequencing-based gene panels. BMC Med Genomics 2022; 15:86. [PMID: 35428255 PMCID: PMC9013031 DOI: 10.1186/s12920-022-01230-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 04/04/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Tumor heterogeneity has been known to cause inter-assay discordance among next-generation sequencing (NGS) results. However, whether preclinical factors such as sample type, sample quality and analytical features of gene panel can affect the concordance between two different assays remains largely unexplored. METHODS Replicate sets of DNA samples extracted from formalin-fixed paraffin-embedded tissues (FFPE) (n = 20) and fresh frozen (FF) tissues (n = 10) were herein analyzed using a tumor-only (TO) and paired tumor-normal (TN) gene panel in laboratories certified by the Clinical Laboratory Improvement Amendment. Reported variants from the TO and TN panels were then compared. Furthermore, additional FFPE samples were sequentially sliced from the same FFPE block and submitted to another TN panel assay. RESULTS Substantial discordance (71.8%) was observed between the results of the two panels despite using identical DNA samples, with the discordance rate being significantly higher for FFPE samples (p < 0.05). Among the 99 variants reported only in the TO panel, 32.3% were consistent with germline variants, which were excluded in the TN panel, while 30.3% had an allele frequency of less than 5%, some of which were highly likely to be artificial calls. The comparison of two independent TN panel assay results from the same FFPE block also showed substantial discordance rate (55.3%). CONCLUSIONS In the context of clinical settings, our comparative analysis revealed that inter-NGS assay discordance commonly occurred due to sample types and the different analytical features of each panel.
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Affiliation(s)
- Pham Nguyen Quy
- Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Keita Fukuyama
- Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Real World Data Research and Development, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masashi Kanai
- Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
| | - Tadayuki Kou
- Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tomohiro Kondo
- Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masahiro Yoshioka
- Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Junichi Matsubara
- Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tomohiro Sakuma
- Biomedical Department, Mitsui Knowledge Industry Co., Ltd., Tokyo, Japan
| | - Sachiko Minamiguchi
- Department of Diagnostic Pathology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shigemi Matsumoto
- Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Real World Data Research and Development, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Manabu Muto
- Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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40
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Affiliation(s)
- Michael R. Waarts
- Gerstner Sloan Kettering Graduate Program in Biomedical Sciences
- Human Oncology and Pathogenesis Program
- Center for Hematologic Malignancies
- Center for Epigenetics Research, and
| | - Aaron J. Stonestrom
- Human Oncology and Pathogenesis Program
- Center for Hematologic Malignancies
- Center for Epigenetics Research, and
- Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Young C. Park
- Human Oncology and Pathogenesis Program
- Center for Hematologic Malignancies
- Center for Epigenetics Research, and
| | - Ross L. Levine
- Human Oncology and Pathogenesis Program
- Center for Hematologic Malignancies
- Center for Epigenetics Research, and
- Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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Parvandeh S, Donehower LA, Katsonis P, Hsu TK, Asmussen J, Lee K, Lichtarge O. EPIMUTESTR: a nearest neighbor machine learning approach to predict cancer driver genes from the evolutionary action of coding variants. Nucleic Acids Res 2022; 50:e70. [PMID: 35412634 PMCID: PMC9262594 DOI: 10.1093/nar/gkac215] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 03/17/2022] [Accepted: 03/21/2022] [Indexed: 02/01/2023] Open
Abstract
Discovering rare cancer driver genes is difficult because their mutational frequency is too low for statistical detection by computational methods. EPIMUTESTR is an integrative nearest-neighbor machine learning algorithm that identifies such marginal genes by modeling the fitness of their mutations with the phylogenetic Evolutionary Action (EA) score. Over cohorts of sequenced patients from The Cancer Genome Atlas representing 33 tumor types, EPIMUTESTR detected 214 previously inferred cancer driver genes and 137 new candidates never identified computationally before of which seven genes are supported in the COSMIC Cancer Gene Census. EPIMUTESTR achieved better robustness and specificity than existing methods in a number of benchmark methods and datasets.
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Affiliation(s)
- Saeid Parvandeh
- To whom correspondence should be addressed. Tel: +1 713 798 7677;
| | - Lawrence A Donehower
- Department of Molecular Virology and Microbiology, Houston, TX 77030, USA,Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Panagiotis Katsonis
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Teng-Kuei Hsu
- Department of Biochemistry & Molecular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA
| | - Jennifer K Asmussen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Kwanghyuk Lee
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Olivier Lichtarge
- Correspondence may also be addressed to Olivier Lichtarge. Tel: +1 713 798 5646;
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Tirrò E, Martorana F, Micale G, Inzerilli N, Carciotto R, Romano C, Longhitano C, Motta G, Lanzafame K, Stella S, Massimino M, Vitale SR, Salvatorelli L, Magro G, Manzella L, Vigneri P. Next generation sequencing in a cohort of patients with rare sarcoma histotypes: A single institution experience. Pathol Res Pract 2022; 232:153820. [DOI: 10.1016/j.prp.2022.153820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/22/2022] [Accepted: 02/23/2022] [Indexed: 10/19/2022]
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The Value of Pharmacogenetics to Reduce Drug-Related Toxicity in Cancer Patients. Mol Diagn Ther 2022; 26:137-151. [PMID: 35113367 PMCID: PMC8975257 DOI: 10.1007/s40291-021-00575-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/19/2021] [Indexed: 10/19/2022]
Abstract
Many anticancer drugs cause adverse drug reactions (ADRs) that negatively impact safety and reduce quality of life. The typical narrow therapeutic range and exposure-response relationships described for anticancer drugs make precision dosing critical to ensure safe and effective drug exposure. Germline mutations in pharmacogenes contribute to inter-patient variability in pharmacokinetics and pharmacodynamics of anticancer drugs. Patients carrying reduced-activity or loss-of-function alleles are at increased risk for ADRs. Pretreatment genotyping offers a proactive approach to identify these high-risk patients, administer an individualized dose, and minimize the risk of ADRs. In the field of oncology, the most well-studied gene-drug pairs for which pharmacogenetic dosing recommendations have been published to improve safety are DPYD-fluoropyrimidines, TPMT/NUDT15-thiopurines, and UGT1A1-irinotecan. Despite the presence of these guidelines, the scientific evidence showing the benefits of pharmacogenetic testing (e.g., improved safety and cost-effectiveness) and the development of efficient multi-gene genotyping panels, routine pretreatment testing for these gene-drug pairs has not been implemented widely in the clinic. Important considerations required for widespread clinical implementation include pharmacogenetic education of physicians, availability or allocation of institutional resources to build an efficient clinical infrastructure, international standardization of guidelines, uniform adoption of guidelines by regulatory agencies leading to genotyping requirements in drug labels, and development of cohesive reimbursement policies for pretreatment genotyping. Without clinical implementation, the potential of pharmacogenetics to improve patient safety remains unfulfilled.
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Maruf FA, Pratama R, Song G. DNN-Boost: Somatic mutation identification of tumor-only whole-exome sequencing data using deep neural network and XGBoost. J Bioinform Comput Biol 2021; 19:2140017. [PMID: 34895111 DOI: 10.1142/s0219720021400175] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Detection of somatic mutation in whole-exome sequencing data can help elucidate the mechanism of tumor progression. Most computational approaches require exome sequencing for both tumor and normal samples. However, it is more common to sequence exomes for tumor samples only without the paired normal samples. To include these types of data for extensive studies on the process of tumorigenesis, it is necessary to develop an approach for identifying somatic mutations using tumor exome sequencing data only. In this study, we designed a machine learning approach using Deep Neural Network (DNN) and XGBoost to identify somatic mutations in tumor-only exome sequencing data and we integrated this into a pipeline called DNN-Boost. The XGBoost algorithm is used to extract the features from the results of variant callers and these features are then fed into the DNN model as input. The XGBoost algorithm resolves issues of missing values and overfitting. We evaluated our proposed model and compared its performance with other existing benchmark methods. We noted that the DNN-Boost classification model outperformed the benchmark method in classifying somatic mutations from paired tumor-normal exome data and tumor-only exome data.
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Affiliation(s)
- Firda Aminy Maruf
- School of Computer Science and Engineering, Pusan National University, 63 Busandaehak-Ro, Busan 46241, Republic of Korea
| | - Rian Pratama
- School of Computer Science and Engineering, Pusan National University, 63 Busandaehak-Ro, Busan 46241, Republic of Korea
| | - Giltae Song
- School of Computer Science and Engineering, Pusan National University, 63 Busandaehak-Ro, Busan 46241, Republic of Korea
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Durvalumab with platinum-pemetrexed for unresectable pleural mesothelioma: survival, genomic and immunologic analyses from the phase 2 PrE0505 trial. Nat Med 2021; 27:1910-1920. [PMID: 34750557 PMCID: PMC8604731 DOI: 10.1038/s41591-021-01541-0] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 09/15/2021] [Indexed: 12/25/2022]
Abstract
Mesothelioma is a rare and fatal cancer with limited therapeutic options until the recent approval of combination immune checkpoint blockade. Here we report the results of the phase 2 PrE0505 trial (NCT02899195) of the anti-PD-L1 antibody durvalumab plus platinum-pemetrexed chemotherapy for 55 patients with previously untreated, unresectable pleural mesothelioma. The primary endpoint was overall survival compared to historical control with cisplatin and pemetrexed chemotherapy; secondary and exploratory endpoints included safety, progression-free survival and biomarkers of response. The combination of durvalumab with chemotherapy met the pre-specified primary endpoint, reaching a median survival of 20.4 months versus 12.1 months with historical control. Treatment-emergent adverse events were consistent with known side effects of chemotherapy, and all adverse events due to immunotherapy were grade 2 or lower. Integrated genomic and immune cell repertoire analyses revealed that a higher immunogenic mutation burden coupled with a more diverse T cell repertoire was linked to favorable clinical outcome. Structural genome-wide analyses showed a higher degree of genomic instability in responding tumors of epithelioid histology. Patients with germline alterations in cancer predisposing genes, especially those involved in DNA repair, were more likely to achieve long-term survival. Our findings indicate that concurrent durvalumab with platinum-based chemotherapy has promising clinical activity and that responses are driven by the complex genomic background of malignant pleural mesothelioma. In a phase 2 trial, the combination of chemotherapy with durvalumab, an anti-PD-L1 antibody, exhibited promising clinical activity in patients with previously untreated, unresectable mesothelioma, with additional analyses providing insights into genomic and immunologic features potentially associated with response.
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Schienda J, Church AJ, Corson LB, Decker B, Clinton CM, Manning DK, Imamovic-Tuco A, Reidy D, Strand GR, Applebaum MA, Bagatell R, DuBois SG, Glade-Bender JL, Kang W, Kim A, Laetsch TW, Macy ME, Maese L, Pinto N, Sabnis AJ, Schiffman JD, Colace SI, Volchenboum SL, Weiser DA, Nowak JA, Lindeman NI, Janeway KA, Crompton BD, Kamihara J. Germline Sequencing Improves Tumor-Only Sequencing Interpretation in a Precision Genomic Study of Patients With Pediatric Solid Tumor. JCO Precis Oncol 2021; 5:PO.21.00281. [PMID: 34964003 PMCID: PMC8710335 DOI: 10.1200/po.21.00281] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 10/14/2021] [Accepted: 11/09/2021] [Indexed: 12/27/2022] Open
Abstract
PURPOSE Molecular tumor profiling is becoming a routine part of clinical cancer care, typically involving tumor-only panel testing without matched germline. We hypothesized that integrated germline sequencing could improve clinical interpretation and enhance the identification of germline variants with significant hereditary risks. MATERIALS AND METHODS Tumors from pediatric patients with high-risk, extracranial solid malignancies were sequenced with a targeted panel of cancer-associated genes. Later, germline DNA was analyzed for a subset of these genes. We performed a post hoc analysis to identify how an integrated analysis of tumor and germline data would improve clinical interpretation. RESULTS One hundred sixty participants with both tumor-only and germline sequencing reports were eligible for this analysis. Germline sequencing identified 38 pathogenic or likely pathogenic variants among 35 (22%) patients. Twenty-five (66%) of these were included in the tumor sequencing report. The remaining germline pathogenic or likely pathogenic variants were single-nucleotide variants filtered out of tumor-only analysis because of population frequency or copy-number variation masked by additional copy-number changes in the tumor. In tumor-only sequencing, 308 of 434 (71%) single-nucleotide variants reported were present in the germline, including 31% with suggested clinical utility. Finally, we provide further evidence that the variant allele fraction from tumor-only sequencing is insufficient to differentiate somatic from germline events. CONCLUSION A paired approach to analyzing tumor and germline sequencing data would be expected to improve the efficiency and accuracy of distinguishing somatic mutations and germline variants, thereby facilitating the process of variant curation and therapeutic interpretation for somatic reports, as well as the identification of variants associated with germline cancer predisposition.
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Affiliation(s)
- Jaclyn Schienda
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | | | - Laura B. Corson
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Brennan Decker
- Department of Pathology, Boston Children's Hospital, Boston, MA
| | - Catherine M. Clinton
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | | | - Alma Imamovic-Tuco
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Deirdre Reidy
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Gianna R. Strand
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | | | - Rochelle Bagatell
- Department of Pediatrics, Children's Hospital of Philadelphia/University of Pennsylvania, Philadelphia, PA
| | - Steven G. DuBois
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | | | - Wenjun Kang
- Center for Research Informatics, University of Chicago, Chicago, IL
| | - AeRang Kim
- Center for Cancer and Blood Disorders, Children's National Hospital, Washington, DC
| | - Theodore W. Laetsch
- Department of Pediatrics, Children's Hospital of Philadelphia/University of Pennsylvania, Philadelphia, PA
| | - Margaret E. Macy
- Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Luke Maese
- Division of Pediatrics (Pediatric Hematology and Oncology University of Utah), Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Navin Pinto
- Division of Pediatric Hematology/Oncology, University of Washington, Seattle, WA
| | - Amit J. Sabnis
- Department of Pediatrics, University of California, San Francisco, CA, San Francisco, CA
| | - Joshua D. Schiffman
- Division of Pediatrics (Pediatric Hematology and Oncology University of Utah), Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Susan I. Colace
- Division of Pediatric Hematology, Oncology, and BMT, Nationwide Children's Hospital, Columbus, OH
| | | | - Daniel A. Weiser
- Division of Pediatric Hematology, Oncology, and Cellular Therapy, Children's Hospital at Montefiore, Bronx, NY
| | | | - Neal I. Lindeman
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | - Katherine A. Janeway
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Brian D. Crompton
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
- Broad Institute of Harvard and MIT, Cambridge, MA
| | - Junne Kamihara
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
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Zhou W, Zhou Y, Yi C, Shu X, Wei G, Chen X, Shen X, Qiu M. Case Report: Immune and Genomic Characteristics Associated With Hyperprogression in a Patient With Metastatic Deficient Mismatch Repair Gastrointestinal Cancer Treated With Anti-PD-1 Antibody. Front Immunol 2021; 12:749204. [PMID: 34659249 PMCID: PMC8511698 DOI: 10.3389/fimmu.2021.749204] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/10/2021] [Indexed: 02/05/2023] Open
Abstract
Microsatellite instability-high/deficient mismatch repair (MSI-H/dMMR) status of tumors is a distinct predictive biomarker of immune checkpoint inhibitors (ICIs) for colorectal and non-colorectal cancer populations. The overall response rate (ORR) varies from approximately 40% to 60%, indicating that nearly half of MSI-H tumors do not respond to ICIs. The mechanism of response heterogeneity in MSI-H/dMMR cancers is unclear. Some patients who have been treated with ICIs have developed a novel pattern of progression called hyperprogression, which is defined as unexpected accelerated tumor growth. No case of MSI-H/dMMR immunotherapy-associated hyperprogression has been reported in the literature. Here, we present the case of a patient with dMMR gastrointestinal cancer who suffered hyperprogressive disease (HPD) after treatment with nivolumab. We explored the potential mechanisms of HPD by clinical, immune, and genomic characteristics. Extremely high levels of serum LDH, low TMB and TILs, and the disruption of TGFβ signaling, may be related to hyperprogression.
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Affiliation(s)
- Wenyue Zhou
- Department of Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Yuwen Zhou
- Department of Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Cheng Yi
- Department of Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Xinyao Shu
- Department of Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Guixia Wei
- Department of Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaorong Chen
- Department of Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Xudong Shen
- The Medical Department, 3D Medicines Inc., Shanghai, China
| | - Meng Qiu
- Department of Oncology, West China Hospital, Sichuan University, Chengdu, China
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Scherer M, Gasparoni G, Rahmouni S, Shashkova T, Arnoux M, Louis E, Nostaeva A, Avalos D, Dermitzakis ET, Aulchenko YS, Lengauer T, Lyons PA, Georges M, Walter J. Identification of tissue-specific and common methylation quantitative trait loci in healthy individuals using MAGAR. Epigenetics Chromatin 2021; 14:44. [PMID: 34530905 PMCID: PMC8444396 DOI: 10.1186/s13072-021-00415-6] [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: 04/20/2021] [Accepted: 08/02/2021] [Indexed: 12/18/2022] Open
Abstract
Background Understanding the influence of genetic variants on DNA methylation is fundamental for the interpretation of epigenomic data in the context of disease. There is a need for systematic approaches not only for determining methylation quantitative trait loci (methQTL), but also for discriminating general from cell type-specific effects. Results Here, we present a two-step computational framework MAGAR (https://bioconductor.org/packages/MAGAR), which fully supports the identification of methQTLs from matched genotyping and DNA methylation data, and additionally allows for illuminating cell type-specific methQTL effects. In a pilot analysis, we apply MAGAR on data in four tissues (ileum, rectum, T cells, B cells) from healthy individuals and demonstrate the discrimination of common from cell type-specific methQTLs. We experimentally validate both types of methQTLs in an independent data set comprising additional cell types and tissues. Finally, we validate selected methQTLs located in the PON1, ZNF155, and NRG2 genes by ultra-deep local sequencing. In line with previous reports, we find cell type-specific methQTLs to be preferentially located in enhancer elements. Conclusions Our analysis demonstrates that a systematic analysis of methQTLs provides important new insights on the influences of genetic variants to cell type-specific epigenomic variation. Supplementary Information The online version contains supplementary material available at 10.1186/s13072-021-00415-6.
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Affiliation(s)
- Michael Scherer
- Department of Genetics/Epigenetics, Saarland University, Saarbrücken, Germany.,Computational Biology, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, Germany.,Graduate School of Computer Science, Saarland Informatics Campus, Saarbrücken, Germany.,Department of Bioinformatics and Genomics, Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Gilles Gasparoni
- Department of Genetics/Epigenetics, Saarland University, Saarbrücken, Germany
| | - Souad Rahmouni
- Unit of Animal Genomics, GIGA-Institute & Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
| | - Tatiana Shashkova
- Kurchatov Genomics Center of the Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.,Research and Training Center on Bioinformatics, A.A. Kharkevich Institute for Information Transmission Problems, Moscow, Russia
| | - Marion Arnoux
- Department of Genetics/Epigenetics, Saarland University, Saarbrücken, Germany
| | - Edouard Louis
- Department of Gastroenterology, Liège University Hospital, CHU Liège, Liège, Belgium
| | | | - Diana Avalos
- Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland.,Swiss Institute of Bioinformatics (SIB), University of Geneva, Geneva, Switzerland.,Institute of Genetics and Genomics in Geneva, University of Geneva, Geneva, Switzerland
| | - Emmanouil T Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland.,Swiss Institute of Bioinformatics (SIB), University of Geneva, Geneva, Switzerland.,Institute of Genetics and Genomics in Geneva, University of Geneva, Geneva, Switzerland
| | - Yurii S Aulchenko
- Kurchatov Genomics Center of the Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.,Novosibirsk State University, Novosibirsk, Russia.,Moscow Institute of Physics and Technology (State University), Moscow, Russia.,PolyKnomics BV, 's-Hertogenbosch, The Netherlands
| | - Thomas Lengauer
- Computational Biology, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, Germany
| | - Paul A Lyons
- Department of Medicine, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.,Cambridge Institute for Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, Cambridge, CB2 0AW, UK
| | - Michel Georges
- Unit of Animal Genomics, GIGA-Institute & Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
| | - Jörn Walter
- Department of Genetics/Epigenetics, Saarland University, Saarbrücken, Germany.
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Hutchcraft ML, Lin N, Zhang S, Sears C, Zacholski K, Belcher EA, Durbin EB, Villano JL, Cavnar MJ, Arnold SM, Ueland FR, Kolesar JM. Real-World Evaluation of Universal Germline Screening for Cancer Treatment-Relevant Pharmacogenes. Cancers (Basel) 2021; 13:4524. [PMID: 34572750 PMCID: PMC8468204 DOI: 10.3390/cancers13184524] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 09/02/2021] [Accepted: 09/03/2021] [Indexed: 12/20/2022] Open
Abstract
The purpose of this study was to determine the frequency of clinically actionable treatment-relevant germline pharmacogenomic variants in patients with cancer and assess the real-world clinical utility of universal screening using whole-exome sequencing in this population. Cancer patients underwent research-grade germline whole-exome sequencing as a component of sequencing for somatic variants. Analysis in a clinical bioinformatics pipeline identified clinically actionable pharmacogenomic variants. Clinical Pharmacogenetics Implementation Consortium guidelines defined clinical actionability. We assessed clinical utility by reviewing electronic health records to determine the frequency of patients receiving pharmacogenomically actionable anti-cancer agents and associated outcomes. This observational study evaluated 291 patients with cancer. More than 90% carried any clinically relevant pharmacogenetic variant. At least one disease-relevant variant impacting anti-cancer agents was identified in 26.5% (77/291). Nine patients with toxicity-associated pharmacogenomic variants were treated with a relevant medication: seven UGT1A1 intermediate metabolizers were treated with irinotecan, one intermediate DPYD metabolizer was treated with 5-fluorouracil, and one TPMT poor metabolizer was treated with mercaptopurine. These individuals were more likely to experience treatment-associated toxicities than their wild-type counterparts (p = 0.0567). One UGT1A1 heterozygote died after a single dose of irinotecan due to irinotecan-related adverse effects. Identifying germline pharmacogenomic variants was feasible using whole-exome sequencing. Actionable pharmacogenetic variants are common and relevant to patients undergoing cancer treatment. Universal pharmacogenomic screening can be performed using whole-exome sequencing data originally obtained for quality control purposes and could be considered for patients who are candidates for irinotecan, 5-fluorouracil, capecitabine, and mercaptopurine.
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Affiliation(s)
- Megan L. Hutchcraft
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Kentucky Markey Cancer Center, Lexington, KY 40536, USA; (M.L.H.); (F.R.U.)
| | - Nan Lin
- Department of Pharmacy Practice and Science, University of Kentucky College of Pharmacy, Lexington, KY 40536, USA;
| | - Shulin Zhang
- Department of Pathology and Laboratory Medicine, University of Kentucky Chandler Medical Center, Lexington, KY 40536, USA; (S.Z.); (C.S.)
| | - Catherine Sears
- Department of Pathology and Laboratory Medicine, University of Kentucky Chandler Medical Center, Lexington, KY 40536, USA; (S.Z.); (C.S.)
| | - Kyle Zacholski
- Department of Pharmacy, Virginia Commonwealth University Medical Center, Richmond, VA 23298, USA;
| | - Elizabeth A. Belcher
- Department of Clinical Research, University of Kentucky Markey Cancer Center, Lexington, KY 40536, USA;
| | - Eric B. Durbin
- Division of Biomedical Informatics, Department of Internal Medicine, University of Kentucky College of Medicine, Lexington, KY 40536, USA;
- Kentucky Cancer Registry, University of Kentucky Markey Cancer Center, Lexington, KY 40536, USA
| | - John L. Villano
- Division of Medical Oncology, Department of Internal Medicine, University of Kentucky Markey Cancer Center, Lexington, KY 40536, USA; (J.L.V.); (S.M.A.)
| | - Michael J. Cavnar
- Division of Surgical Oncology, Department of Surgery, University of Kentucky Markey Cancer Center, Lexington, KY 40536, USA;
| | - Susanne M. Arnold
- Division of Medical Oncology, Department of Internal Medicine, University of Kentucky Markey Cancer Center, Lexington, KY 40536, USA; (J.L.V.); (S.M.A.)
| | - Frederick R. Ueland
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Kentucky Markey Cancer Center, Lexington, KY 40536, USA; (M.L.H.); (F.R.U.)
| | - Jill M. Kolesar
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Kentucky Markey Cancer Center, Lexington, KY 40536, USA; (M.L.H.); (F.R.U.)
- Department of Pharmacy Practice and Science, University of Kentucky College of Pharmacy, Lexington, KY 40536, USA;
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