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Acanda De La Rocha AM, Berlow NE, Fader M, Coats ER, Saghira C, Espinal PS, Galano J, Khatib Z, Abdella H, Maher OM, Vorontsova Y, Andrade-Feraud CM, Daccache A, Jacome A, Reis V, Holcomb B, Ghurani Y, Rimblas L, Guilarte TR, Hu N, Salyakina D, Azzam DJ. Feasibility of functional precision medicine for guiding treatment of relapsed or refractory pediatric cancers. Nat Med 2024; 30:990-1000. [PMID: 38605166 PMCID: PMC11031400 DOI: 10.1038/s41591-024-02848-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 01/31/2024] [Indexed: 04/13/2024]
Abstract
Children with rare, relapsed or refractory cancers often face limited treatment options, and few predictive biomarkers are available that can enable personalized treatment recommendations. The implementation of functional precision medicine (FPM), which combines genomic profiling with drug sensitivity testing (DST) of patient-derived tumor cells, has potential to identify treatment options when standard-of-care is exhausted. The goal of this prospective observational study was to generate FPM data for pediatric patients with relapsed or refractory cancer. The primary objective was to determine the feasibility of returning FPM-based treatment recommendations in real time to the FPM tumor board (FPMTB) within a clinically actionable timeframe (<4 weeks). The secondary objective was to assess clinical outcomes from patients enrolled in the study. Twenty-five patients with relapsed or refractory solid and hematological cancers were enrolled; 21 patients underwent DST and 20 also completed genomic profiling. Median turnaround times for DST and genomics were within 10 days and 27 days, respectively. Treatment recommendations were made for 19 patients (76%), of whom 14 received therapeutic interventions. Six patients received subsequent FPM-guided treatments. Among these patients, five (83%) experienced a greater than 1.3-fold improvement in progression-free survival associated with their FPM-guided therapy relative to their previous therapy, and demonstrated a significant increase in progression-free survival and objective response rate compared to those of eight non-guided patients. The findings from our proof-of-principle study illustrate the potential for FPM to positively impact clinical care for pediatric and adolescent patients with relapsed or refractory cancers and warrant further validation in large prospective studies. ClinicalTrials.gov registration: NCT03860376 .
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Affiliation(s)
- Arlet M Acanda De La Rocha
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | | | - Maggie Fader
- Division of Pediatric Hematology Oncology, Department of Pediatrics, Nicklaus Children's Hospital, Miami, FL, USA
| | - Ebony R Coats
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Cima Saghira
- Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Paula S Espinal
- Center for Precision Medicine, Nicklaus Children's Hospital, Miami, FL, USA
| | - Jeanette Galano
- Center for Precision Medicine, Nicklaus Children's Hospital, Miami, FL, USA
| | - Ziad Khatib
- Division of Pediatric Hematology Oncology, Department of Pediatrics, Nicklaus Children's Hospital, Miami, FL, USA
| | - Haneen Abdella
- Division of Pediatric Hematology Oncology, Department of Pediatrics, Nicklaus Children's Hospital, Miami, FL, USA
| | - Ossama M Maher
- Division of Pediatric Hematology Oncology, Department of Pediatrics, Nicklaus Children's Hospital, Miami, FL, USA
| | - Yana Vorontsova
- Center for Precision Medicine, Nicklaus Children's Hospital, Miami, FL, USA
| | - Cristina M Andrade-Feraud
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Aimee Daccache
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Alexa Jacome
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Victoria Reis
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Baylee Holcomb
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Yasmin Ghurani
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Lilliam Rimblas
- Division of Pediatric Hematology Oncology, Department of Pediatrics, Nicklaus Children's Hospital, Miami, FL, USA
| | - Tomás R Guilarte
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Nan Hu
- Department of Biostatistics, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Daria Salyakina
- Center for Precision Medicine, Nicklaus Children's Hospital, Miami, FL, USA
| | - Diana J Azzam
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA.
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Grunewald TGP, Postel-Vinay S, Nakayama RT, Berlow NE, Bolzicco A, Cerullo V, Dermawan JK, Frezza AM, Italiano A, Jin JX, Loarer FL, Martin-Broto J, Pecora A, Perez-Martinez A, Tam YB, Tirode F, Trama A, Pasquali S, Vescia M, ortmann L, Wortmann M, Yoshida A, Webb K, Huang PH, Keller C, Antonescu CR. Translational Aspects of Epithelioid Sarcoma: Current Consensus. Clin Cancer Res 2024; 30:1079-1092. [PMID: 37916971 PMCID: PMC10947972 DOI: 10.1158/1078-0432.ccr-23-2174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/12/2023] [Accepted: 10/20/2023] [Indexed: 11/03/2023]
Abstract
Epithelioid sarcoma (EpS) is an ultra-rare malignant soft-tissue cancer mostly affecting adolescents and young adults. EpS often exhibits an unfavorable clinical course with fatal outcome in ∼50% of cases despite aggressive multimodal therapies combining surgery, chemotherapy, and irradiation. EpS is traditionally classified in a more common, less aggressive distal (classic) type and a rarer aggressive proximal type. Both subtypes are characterized by a loss of nuclear INI1 expression, most often following homozygous deletion of its encoding gene, SMARCB1-a core subunit of the SWI/SNF chromatin remodeling complex. In 2020, the EZH2 inhibitor tazemetostat was the first targeted therapy approved for EpS, raising new hopes. Still, the vast majority of patients did not benefit from this drug or relapsed rapidly. Further, other recent therapeutic modalities, including immunotherapy, are only effective in a fraction of patients. Thus, novel strategies, specifically targeted to EpS, are urgently needed. To accelerate translational research on EpS and eventually boost the discovery and development of new diagnostic tools and therapeutic options, a vibrant translational research community has formed in past years and held two international EpS digital expert meetings in 2021 and 2023. This review summarizes our current understanding of EpS from the translational research perspective and points to innovative research directions to address the most pressing questions in the field, as defined by expert consensus and patient advocacy groups.
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Affiliation(s)
- Thomas G. P. Grunewald
- Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
| | - Sophie Postel-Vinay
- Département d’Innovation Thérapeutique et d’Essais Précoces (DITEP), Gustave Roussy, Université Paris Saclay, Villejuif, France
- U981 INSERM, ERC StG team, Gustave Roussy, Villejuif, France
| | - Robert T. Nakayama
- Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Noah E. Berlow
- Children’s Cancer Therapy Development Institute, Hillsboro, Oregon
| | - Andrea Bolzicco
- Patients association ‘Orchestra per la vita’ Aps, Rome, Italy
- Patients association: ‘MC4 in corsa per la vita!’ ETS, Milan, Italy
| | - Vincenzo Cerullo
- Drug Research Program, University of Helsinki, Helsinki, Finland
| | - Josephine K. Dermawan
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio
| | - Anna Maria Frezza
- Department of Medical Oncology 2, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Antoine Italiano
- Early Phase Trials and Sarcoma Units, Institut Bergonie, Bordeaux, France
- Faculty of Medicine, University of Bordeaux, Bordeaux, France
| | - Jia xiang Jin
- Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
| | - Francois Le Loarer
- Faculty of Medicine, University of Bordeaux, Bordeaux, France
- Department of Pathology, Institut Bergonie, Bordeaux, France
| | - Javier Martin-Broto
- Medical Oncology Department, Fundacion Jimenez Diaz University Hospital; University Hospital General de Villalba, and Instituto de Investigacion Sanitaria Fundacion Jimenez Diaz (IIS/FJD; UAM), Madrid, Spain
| | - Andrew Pecora
- John Theurer Cancer Center, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC
| | - Antonio Perez-Martinez
- Patients association: ‘MC4 in corsa per la vita!’ ETS, Milan, Italy
- Department of Pediatric Hemato-Oncology, Autonomous University of Madrid, Institute for Health Research, IdiPAZ, La Paz University Hospital, Madrid, Spain
| | - Yuen Bun Tam
- Division of Molecular Pathology, Institute of Cancer Research, London, United Kingdom
| | - Franck Tirode
- Universite Claude Bernard, INSERM 1052, CNRS 5286, Cancer Research Center of Lyon, Centre Leon Berard, Lyon, France
| | - Annalisa Trama
- Department of Epidemiology and Data Science; Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Sandro Pasquali
- Molecular Pharmacology, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Lukas ortmann
- Patients association “Smarcb1” e.V., Bergisch Gladbach, Germany
| | | | - Akihiko Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Kim Webb
- Patients association “Smarcb1” e.V., Bergisch Gladbach, Germany
| | - Paul H. Huang
- Division of Molecular Pathology, Institute of Cancer Research, London, United Kingdom
- Sarcoma Unit, Royal Marsden Hospital, Belmont, United Kingdom
| | - Charles Keller
- Children’s Cancer Therapy Development Institute, Hillsboro, Oregon
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Dakilah I, Harb A, Abu-Gharbieh E, El-Huneidi W, Taneera J, Hamoudi R, Semreen MH, Bustanji Y. Potential of CDC25 phosphatases in cancer research and treatment: key to precision medicine. Front Pharmacol 2024; 15:1324001. [PMID: 38313315 PMCID: PMC10834672 DOI: 10.3389/fphar.2024.1324001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 01/04/2024] [Indexed: 02/06/2024] Open
Abstract
The global burden of cancer continues to rise, underscoring the urgency of developing more effective and precisely targeted therapies. This comprehensive review explores the confluence of precision medicine and CDC25 phosphatases in the context of cancer research. Precision medicine, alternatively referred to as customized medicine, aims to customize medical interventions by taking into account the genetic, genomic, and epigenetic characteristics of individual patients. The identification of particular genetic and molecular drivers driving cancer helps both diagnostic accuracy and treatment selection. Precision medicine utilizes sophisticated technology such as genome sequencing and bioinformatics to elucidate genetic differences that underlie the proliferation of cancer cells, hence facilitating the development of customized therapeutic interventions. CDC25 phosphatases, which play a crucial role in governing the progression of the cell cycle, have garnered significant attention as potential targets for cancer treatment. The dysregulation of CDC25 is a characteristic feature observed in various types of malignancies, hence classifying them as proto-oncogenes. The proteins in question, which operate as phosphatases, play a role in the activation of Cyclin-dependent kinases (CDKs), so promoting the advancement of the cell cycle. CDC25 inhibitors demonstrate potential as therapeutic drugs for cancer treatment by specifically blocking the activity of CDKs and modulating the cell cycle in malignant cells. In brief, precision medicine presents a potentially fruitful option for augmenting cancer research, diagnosis, and treatment, with an emphasis on individualized care predicated upon patients' genetic and molecular profiles. The review highlights the significance of CDC25 phosphatases in the advancement of cancer and identifies them as promising candidates for therapeutic intervention. This statement underscores the significance of doing thorough molecular profiling in order to uncover the complex molecular characteristics of cancer cells.
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Affiliation(s)
- Ibraheem Dakilah
- Research Institute of Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
| | - Amani Harb
- Department of Basic Sciences, Faculty of Arts and Sciences, Al-Ahliyya Amman University, Amman, Jordan
| | - Eman Abu-Gharbieh
- Research Institute of Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
- College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Waseem El-Huneidi
- Research Institute of Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
- College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Jalal Taneera
- Research Institute of Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
- College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Rifat Hamoudi
- Research Institute of Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
- College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
- Division of Surgery and Interventional Science, University College London, London, United Kingdom
| | - Mohammed H Semreen
- College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates
| | - Yasser Bustanji
- Research Institute of Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
- College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
- School of Pharmacy, The University of Jordan, Amman, Jordan
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Khan S, Khan MWA, Sherwani S, Alouffi S, Alam MJ, Al-Motair K, Khan S. Directional preference for glioblastoma cancer cell membrane encapsulated nanoparticle population: A probabilistic approach for cancer therapeutics. Front Immunol 2023; 14:1162213. [PMID: 37063901 PMCID: PMC10090548 DOI: 10.3389/fimmu.2023.1162213] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 03/13/2023] [Indexed: 03/31/2023] Open
Abstract
BackgroundSelective cancer cell recognition is the most challenging objective in the targeted delivery of anti-cancer agents. Extruded specific cancer cell membrane coated nanoparticles, exploiting the potential of homotypic binding along with certain protein-receptor interactions, have recently proven to be the method of choice for targeted delivery of anti-cancer drugs. Prediction of the selective targeting efficiency of the cancer cell membrane encapsulated nanoparticles (CCMEN) is the most critical aspect in selecting this strategy as a method of delivery.Materials and methodsA probabilistic model based on binding scores and differential expression levels of Glioblastoma cancer cells (GCC) membrane proteins (factors and receptors) was implemented on python 3.9.1. Conditional binding efficiency (CBE) was derived for each combination of protein involved in the interactions. Selective propensities and Odds ratios in favour of cancer cells interactions were determined for all the possible combination of surface proteins for ‘k’ degree of interaction. The model was experimentally validated by two types of Test cultures.ResultsSeveral Glioblastoma cell surface antigens were identified from literature and databases. Those were screened based on the relevance, availability of expression levels and crystal structure in public databases. High priority eleven surface antigens were selected for probabilistic modelling. A new term, Break-even point (BEP) was defined as a characteristic of the typical cancer cell membrane encapsulated delivery agents. The model predictions lie within ±7% of the experimentally observed values for both experimental test culture types.ConclusionThe implemented probabilistic model efficiently predicted the directional preference of the exposed nanoparticle coated with cancer cell membrane (in this case GCC membrane). This model, however, is developed and validated for glioblastoma, can be easily tailored for any type of cancer involving CCMEN as delivery agents for potential cancer immunotherapy. This probabilistic model would help in the development of future cancer immunotherapeutic with greater specificity.
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Affiliation(s)
- Saif Khan
- Department of Basic Dental and Medical Sciences, College of Dentistry, University of Ha’il, Ha’il, Saudi Arabia
- Medical and Diagnostic Research Centre, University of Ha'il, Ha’il, Saudi Arabia
- *Correspondence: Saif Khan, ; ; Mohd Wajid Ali Khan, ;
| | - Mohd Wajid Ali Khan
- Medical and Diagnostic Research Centre, University of Ha'il, Ha’il, Saudi Arabia
- Department of Chemistry, College of Sciences, University of Ha’il, Ha’il, Saudi Arabia
- *Correspondence: Saif Khan, ; ; Mohd Wajid Ali Khan, ;
| | - Subuhi Sherwani
- Department of Biology, College of Sciences, University of Ha’il, Ha’il, Saudi Arabia
| | - Sultan Alouffi
- Medical and Diagnostic Research Centre, University of Ha'il, Ha’il, Saudi Arabia
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Ha’il, Ha’il, Saudi Arabia
| | - Mohammad Jahoor Alam
- Medical and Diagnostic Research Centre, University of Ha'il, Ha’il, Saudi Arabia
- Department of Biology, College of Sciences, University of Ha’il, Ha’il, Saudi Arabia
| | - Khalid Al-Motair
- Medical and Diagnostic Research Centre, University of Ha'il, Ha’il, Saudi Arabia
| | - Shahper Khan
- Interdisciplinary Nanotechnology Centre, Aligarh Muslim University, Aligarh, India
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Berlow NE. Probabilistic Boolean Modeling of Pre-clinical Tumor Models for Biomarker Identification in Cancer Drug Development. Curr Protoc 2021; 1:e269. [PMID: 34661991 DOI: 10.1002/cpz1.269] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
As high-throughput sequencing experiments become more widely used in pre-clinical and clinical settings, pharmacogenetic and pharmacogenomic biomarker development plays an increasingly important role in oncology drug development pipelines and programs. Consequently, computer-based learning approaches have entered into use at multiple stages in pre-clinical and clinical pipelines. However, few approaches are available to identify interpretable and implementable biomarkers of response early in the drug development process when only small pre-clinical data packages are available. To address the need for early-stage biomarker development using pre-clinical tumor models, we have adapted the previously published Probabilistic Target Inhibitor Map (PTIM) platform to the challenge of biomarker hypothesis development, and denoted this approach the Probabilistic Target Map-Biomarker (PTM-Biomarker). In this article, we detail the history and design philosophy of PTM-Biomarker, and present two case studies using the biomarker discovery tool to illustrate its utility in guiding cancer drug development. © 2021 Wiley Periodicals LLC.
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Berlow NE, Crawford KA, Bult CJ, Noakes C, Sloma I, Rudzinski ER, Keller C. Functional impact of a germline RET mutation in alveolar rhabdomyosarcoma. Cold Spring Harb Mol Case Stud 2021; 7:mcs.a006049. [PMID: 33722797 PMCID: PMC8208040 DOI: 10.1101/mcs.a006049] [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: 11/28/2020] [Accepted: 03/01/2021] [Indexed: 11/24/2022] Open
Abstract
Specific mutations in the RET proto-oncogene are associated with multiple endocrine neoplasia type 2A, a hereditary syndrome characterized by tumorigenesis in multiple glandular elements. In rare instances, MEN2A-associated germline RET mutations have also occurred with non-MEN2A associated cancers. One such germline mutant RET mutation occurred concomitantly in a young adult diagnosed with alveolar rhabdomyosarcoma, a pediatric and young adult soft-tissue cancer with a generally poor prognosis. Although tumor tissue samples were initially unable to provide a viable cell culture for study, tumor tissues were sequenced for molecular characteristics. Through a hierarchical clustering approach, the index case sample was matched to several genetically similar cell models, which were transformed to express the same mutant RET as the index case and used to explore potential therapeutic options for mutant RET-bearing alveolar rhabdomyosarcoma. We also determined whether the RET mutation associated with the index case caused synthetic lethality to select clinical agents. From our investigation, we did not identify synthetic lethality associated with the expression of that patient's RET variant, and overall we did not find experimental evidence for the role of RET in rhabdomyosarcoma progression.
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Affiliation(s)
- Noah E Berlow
- Children's Cancer Therapy Development Institute, Beaverton, Oregon 97005, USA
| | - Kenneth A Crawford
- Children's Cancer Therapy Development Institute, Beaverton, Oregon 97005, USA
| | - Carol J Bult
- The Jackson Laboratory, Bar Harbor, Maine 04609, USA
| | | | - Ido Sloma
- Champions Oncology, Hackensack, New Jersey 07601, USA
| | | | - Charles Keller
- Children's Cancer Therapy Development Institute, Beaverton, Oregon 97005, USA
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Vlot AH, Mason DJ, Bulusu KC, Bender A. Drug Combination Modeling. SYSTEMS MEDICINE 2021. [DOI: 10.1016/b978-0-12-801238-3.11569-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Grünewald TGP, Alonso M, Avnet S, Banito A, Burdach S, Cidre‐Aranaz F, Di Pompo G, Distel M, Dorado‐Garcia H, Garcia‐Castro J, González‐González L, Grigoriadis AE, Kasan M, Koelsche C, Krumbholz M, Lecanda F, Lemma S, Longo DL, Madrigal‐Esquivel C, Morales‐Molina Á, Musa J, Ohmura S, Ory B, Pereira‐Silva M, Perut F, Rodriguez R, Seeling C, Al Shaaili N, Shaabani S, Shiavone K, Sinha S, Tomazou EM, Trautmann M, Vela M, Versleijen‐Jonkers YMH, Visgauss J, Zalacain M, Schober SJ, Lissat A, English WR, Baldini N, Heymann D. Sarcoma treatment in the era of molecular medicine. EMBO Mol Med 2020; 12:e11131. [PMID: 33047515 PMCID: PMC7645378 DOI: 10.15252/emmm.201911131] [Citation(s) in RCA: 129] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 07/20/2020] [Accepted: 07/24/2020] [Indexed: 12/14/2022] Open
Abstract
Sarcomas are heterogeneous and clinically challenging soft tissue and bone cancers. Although constituting only 1% of all human malignancies, sarcomas represent the second most common type of solid tumors in children and adolescents and comprise an important group of secondary malignancies. More than 100 histological subtypes have been characterized to date, and many more are being discovered due to molecular profiling. Owing to their mostly aggressive biological behavior, relative rarity, and occurrence at virtually every anatomical site, many sarcoma subtypes are in particular difficult-to-treat categories. Current multimodal treatment concepts combine surgery, polychemotherapy (with/without local hyperthermia), irradiation, immunotherapy, and/or targeted therapeutics. Recent scientific advancements have enabled a more precise molecular characterization of sarcoma subtypes and revealed novel therapeutic targets and prognostic/predictive biomarkers. This review aims at providing a comprehensive overview of the latest advances in the molecular biology of sarcomas and their effects on clinical oncology; it is meant for a broad readership ranging from novices to experts in the field of sarcoma.
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Affiliation(s)
- Thomas GP Grünewald
- Max‐Eder Research Group for Pediatric Sarcoma BiologyInstitute of PathologyFaculty of MedicineLMU MunichMunichGermany
- Division of Translational Pediatric Sarcoma ResearchGerman Cancer Research Center (DKFZ), Hopp Children's Cancer Center (KiTZ), German Cancer Consortium (DKTK)HeidelbergGermany
- Institute of PathologyHeidelberg University HospitalHeidelbergGermany
| | - Marta Alonso
- Program in Solid Tumors and BiomarkersFoundation for the Applied Medical ResearchUniversity of Navarra PamplonaPamplonaSpain
| | - Sofia Avnet
- Orthopedic Pathophysiology and Regenerative Medicine UnitIRCCS Istituto Ortopedico RizzoliBolognaItaly
| | - Ana Banito
- Pediatric Soft Tissue Sarcoma Research GroupGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Stefan Burdach
- Department of Pediatrics and Children's Cancer Research Center (CCRC)Technische Universität MünchenMunichGermany
| | - Florencia Cidre‐Aranaz
- Max‐Eder Research Group for Pediatric Sarcoma BiologyInstitute of PathologyFaculty of MedicineLMU MunichMunichGermany
| | - Gemma Di Pompo
- Orthopedic Pathophysiology and Regenerative Medicine UnitIRCCS Istituto Ortopedico RizzoliBolognaItaly
| | | | | | | | | | | | - Merve Kasan
- Max‐Eder Research Group for Pediatric Sarcoma BiologyInstitute of PathologyFaculty of MedicineLMU MunichMunichGermany
| | | | | | - Fernando Lecanda
- Division of OncologyAdhesion and Metastasis LaboratoryCenter for Applied Medical ResearchUniversity of NavarraPamplonaSpain
| | - Silvia Lemma
- Orthopedic Pathophysiology and Regenerative Medicine UnitIRCCS Istituto Ortopedico RizzoliBolognaItaly
| | - Dario L Longo
- Institute of Biostructures and Bioimaging (IBB)Italian National Research Council (CNR)TurinItaly
| | | | | | - Julian Musa
- Max‐Eder Research Group for Pediatric Sarcoma BiologyInstitute of PathologyFaculty of MedicineLMU MunichMunichGermany
- Department of General, Visceral and Transplantation SurgeryUniversity of HeidelbergHeidelbergGermany
| | - Shunya Ohmura
- Max‐Eder Research Group for Pediatric Sarcoma BiologyInstitute of PathologyFaculty of MedicineLMU MunichMunichGermany
| | | | - Miguel Pereira‐Silva
- Department of Pharmaceutical TechnologyFaculty of PharmacyUniversity of CoimbraCoimbraPortugal
| | - Francesca Perut
- Orthopedic Pathophysiology and Regenerative Medicine UnitIRCCS Istituto Ortopedico RizzoliBolognaItaly
| | - Rene Rodriguez
- Instituto de Investigación Sanitaria del Principado de AsturiasOviedoSpain
- CIBER en oncología (CIBERONC)MadridSpain
| | | | - Nada Al Shaaili
- Department of Oncology and MetabolismUniversity of SheffieldSheffieldUK
| | - Shabnam Shaabani
- Department of Drug DesignUniversity of GroningenGroningenThe Netherlands
| | - Kristina Shiavone
- Department of Oncology and MetabolismUniversity of SheffieldSheffieldUK
| | - Snehadri Sinha
- Department of Oral and Maxillofacial DiseasesUniversity of HelsinkiHelsinkiFinland
| | | | - Marcel Trautmann
- Division of Translational PathologyGerhard‐Domagk‐Institute of PathologyMünster University HospitalMünsterGermany
| | - Maria Vela
- Hospital La Paz Institute for Health Research (IdiPAZ)MadridSpain
| | | | | | - Marta Zalacain
- Institute of Biostructures and Bioimaging (IBB)Italian National Research Council (CNR)TurinItaly
| | - Sebastian J Schober
- Department of Pediatrics and Children's Cancer Research Center (CCRC)Technische Universität MünchenMunichGermany
| | - Andrej Lissat
- University Children′s Hospital Zurich – Eleonoren FoundationKanton ZürichZürichSwitzerland
| | - William R English
- Department of Oncology and MetabolismUniversity of SheffieldSheffieldUK
| | - Nicola Baldini
- Orthopedic Pathophysiology and Regenerative Medicine UnitIRCCS Istituto Ortopedico RizzoliBolognaItaly
- Department of Biomedical and Neuromotor SciencesUniversity of BolognaBolognaItaly
| | - Dominique Heymann
- Department of Oncology and MetabolismUniversity of SheffieldSheffieldUK
- Université de NantesInstitut de Cancérologie de l'OuestTumor Heterogeneity and Precision MedicineSaint‐HerblainFrance
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Bohannan Z, Pudupakam RS, Koo J, Horwitz H, Tsang J, Polley A, Han EJ, Fernandez E, Park S, Swartzfager D, Qi NSX, Tu C, Rankin WV, Thamm DH, Lee HR, Lim S. Predicting likelihood of in vivo chemotherapy response in canine lymphoma using ex vivo drug sensitivity and immunophenotyping data in a machine learning model. Vet Comp Oncol 2020; 19:160-171. [PMID: 33025640 PMCID: PMC7894155 DOI: 10.1111/vco.12656] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 09/24/2020] [Accepted: 10/02/2020] [Indexed: 02/06/2023]
Abstract
We report a precision medicine platform that evaluates the probability of chemotherapy drug efficacy for canine lymphoma by combining ex vivo chemosensitivity and immunophenotyping assays with computational modelling. We isolated live cancer cells from fresh fine needle aspirates of affected lymph nodes and collected post‐treatment clinical responses in 261 canine lymphoma patients scheduled to receive at least 1 of 5 common chemotherapy agents (doxorubicin, vincristine, cyclophosphamide, lomustine and rabacfosadine). We used flow cytometry analysis for immunophenotyping and ex vivo chemosensitivity testing. For each drug, 70% of treated patients were randomly selected to train a random forest model to predict the probability of positive Veterinary Cooperative Oncology Group (VCOG) clinical response based on input variables including antigen expression profiles and treatment sensitivity readouts for each patient's cancer cells. The remaining 30% of patients were used to test model performance. Most models showed a test set ROC‐AUC > 0.65, and all models had overall ROC‐AUC > 0.95. Predicted response scores significantly distinguished (P < .001) positive responses from negative responses in B‐cell and T‐cell disease and newly diagnosed and relapsed patients. Patient groups with predicted response scores >50% showed a statistically significant reduction (log‐rank P < .05) in time to complete response when compared to the groups with scores <50%. The computational models developed in this study enabled the conversion of ex vivo cell‐based chemosensitivity assay results into a predicted probability of in vivo therapeutic efficacy, which may help improve treatment outcomes of individual canine lymphoma patients by providing predictive estimates of positive treatment response.
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Affiliation(s)
| | | | - Jamin Koo
- ImpriMed, Inc., Palo Alto, California, USA.,ImpriMed Korea, Inc., Seoul, Republic of Korea.,Department of Chemical Engineering, Hongik University, Seoul, Republic of Korea
| | | | | | | | | | | | | | | | | | - Chantal Tu
- SAGE Veterinary Centers, Dublin, California, USA
| | | | - Douglas H Thamm
- Flint Animal Cancer Center, Colorado State University, Fort Collins, Colorado, USA
| | - Hye-Ryeon Lee
- ImpriMed, Inc., Palo Alto, California, USA.,ImpriMed Korea, Inc., Seoul, Republic of Korea
| | - Sungwon Lim
- ImpriMed, Inc., Palo Alto, California, USA.,ImpriMed Korea, Inc., Seoul, Republic of Korea
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10
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John A, Qin B, Kalari KR, Wang L, Yu J. Patient-specific multi-omics models and the application in personalized combination therapy. Future Oncol 2020; 16:1737-1750. [PMID: 32462937 DOI: 10.2217/fon-2020-0119] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
The rapid advancement of high-throughput technologies and sharp decrease in cost have opened up the possibility to generate large amount of multi-omics data on an individual basis. The development of high-throughput -omics, including genomics, epigenomics, transcriptomics, proteomics, metabolomics and microbiomics, enables the application of multi-omics technologies in the clinical settings. Combination therapy, defined as disease treatment with two or more drugs to achieve efficacy with lower doses or lower drug toxicity, is the basis for the care of diseases like cancer. Patient-specific multi-omics data integration can help the identification and development of combination therapies. In this review, we provide an overview of different -omics platforms, and discuss the methods for multi-omics, high-throughput, data integration, personalized combination therapy.
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Affiliation(s)
- August John
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Bo Qin
- Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA.,Gastroenterology Research Unit, Mayo Clinic, Rochester, MN 55905, USA.,Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Krishna R Kalari
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Liewei Wang
- Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Jia Yu
- Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
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11
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Fan G, Wei X, Xu X. Is the era of sorafenib over? A review of the literature. Ther Adv Med Oncol 2020; 12:1758835920927602. [PMID: 32518599 PMCID: PMC7252361 DOI: 10.1177/1758835920927602] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 04/27/2020] [Indexed: 12/24/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the most severe diseases worldwide. For the different stages of HCC, there are different clinical treatment strategies, such as surgical therapy for the early stage, and transarterial chemoembolization (TACE) and selective internal radiation therapy (SIRT) for intermediate-stage disease. Systemic treatment, which uses mainly targeted drugs, is the standard therapy against advanced HCC. Sorafenib is an important first-line therapy for advanced HCC. As a classically effective drug, sorafenib can increase overall survival markedly. However, it still has room for improvement because of the heterogeneity of HCC and acquired resistance. Scientists have reported the acquired sorafenib resistance is associated with the anomalous expression of certain genes, most of which are also related with HCC onset and development. Combining sorafenib with inhibitors targeting these genes may be an effective treatment. Combined treatment may not only overcome drug resistance, but also inhibit the expression of carcinoma-related genes. This review focuses on the current status of sorafenib in advanced HCC, summarizes the inhibitors that can combine with sorafenib in the treatment against HCC, and provides the rationale for clinical trials of sorafenib in combination with other inhibitors in HCC. The era of sorafenib in the treatment of HCC is far from over, as long as we find better methods of medication.
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Affiliation(s)
- Guanghan Fan
- Department of Hepatobiliary and Pancreatic Surgery, First Affiliated Hospital, Zhejiang University School of Medicine; NHC Key Laboratory of Combined Multi-organ Transplantation; Key Laboratory of the diagnosis and treatment of organ Transplantation, CAMS; Key Laboratory of Organ Transplantation, Zhejiang Province, Hangzhou, China
| | - Xuyong Wei
- Department of Hepatobiliary and Pancreatic Surgery, First Affiliated Hospital, Zhejiang University School of Medicine; NHC Key Laboratory of Combined Multi-organ Transplantation; Key Laboratory of the diagnosis and treatment of organ Transplantation, CAMS; Key Laboratory of Organ Transplantation, Zhejiang Province, Hangzhou, China
| | - Xiao Xu
- Department of Hepatobiliary and Pancreatic Surgery, First Affiliated Hospital, Zhejiang University School of Medicine; NHC Key Laboratory of Combined Multi-organ Transplantation; Key Laboratory of the diagnosis and treatment of organ Transplantation, CAMS; Key Laboratory of Organ Transplantation, Zhejiang Province, 79 QingChun Road, Hangzhou, 310003, China
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12
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Identification of low-dose multidrug combinations for sunitinib-naive and pre-treated renal cell carcinoma. Br J Cancer 2020; 123:556-567. [PMID: 32439932 PMCID: PMC7435198 DOI: 10.1038/s41416-020-0890-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Revised: 04/04/2020] [Accepted: 04/23/2020] [Indexed: 12/11/2022] Open
Abstract
Background Combinations of drugs can improve the efficacy of cancer treatment, enable the reduction of side effects and the occurrence of acquired drug resistance. Methods We approached this challenge mathematically by using the validated technology called the Therapeutically Guided Multidrug Optimization (TGMO) method. In a set of genetically distinct human renal cell carcinoma (RCC) cell lines, either treated chronically with sunitinib (−ST) or sunitinib-naive, we identified cell line-specific low-dose-optimised drug combinations (ODC). Results Six cell-type-specific low-dose drug combinations for three sunitinib-naive as well as three sunitinib pre-treated cells were established. These ODCs effectively inhibited the RCC cell metabolic activity while being ineffective in non-cancerous cells. Based on a single screening test and three searches, starting with ten drugs, we identified highly efficacious drug mixtures containing four drugs. All ODCs contained AZD4547 (FGFR signalling pathway inhibitor) and pictilisib (pan-phosphatidylinositol 3-kinase inhibitor), but varied in the third and fourth drug. ODC treatment significantly decreased cell metabolic activity (up to 70%) and induced apoptosis, independent of the pretreatment with sunitinib. The ODCs outperformed sunitinib, the standard care for RCC. Moreover, short-term starvation potentiated the ODC activity. The translation of the 2D-based results to 3D heterotypic co-culture models revealed significant inhibition of the spheroid growth (up to 95%). Conclusion We demonstrate a promising low-dose drug combination development to obtain drug combinations effective in naive as well as resistant tumours. Nevertheless, we emphasise the need for further mechanistic investigation and preclinical development.
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13
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Deep Functional and Molecular Characterization of a High-Risk Undifferentiated Pleomorphic Sarcoma. Sarcoma 2020; 2020:6312480. [PMID: 32565715 PMCID: PMC7285280 DOI: 10.1155/2020/6312480] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 02/07/2020] [Accepted: 02/10/2020] [Indexed: 11/29/2022] Open
Abstract
Nonrhabdomyosarcoma soft-tissue sarcomas (STSs) are a class of 50+ cancers arising in muscle and soft tissues of children, adolescents, and adults. Rarity of each subtype often precludes subtype-specific preclinical research, leaving many STS patients with limited treatment options should frontline therapy be insufficient. When clinical options are exhausted, personalized therapy assignment approaches may help direct patient care. Here, we report the results of an adult female STS patient with relapsed undifferentiated pleomorphic sarcoma (UPS) who self-drove exploration of a wide array of personalized Clinical Laboratory Improvement Amendments (CLIAs) level and research-level diagnostics, including state of the art genomic, proteomic, ex vivo live cell chemosensitivity testing, a patient-derived xenograft model, and immunoscoring. Her therapeutic choices were also diverse, including neoadjuvant chemotherapy, radiation therapy, and surgeries. Adjuvant and recurrence strategies included off-label and natural medicines, several immunotherapies, and N-of-1 approaches. Identified treatment options, especially those validated during the in vivo study, were not introduced into the course of clinical treatment but did provide plausible treatment regimens based on FDA-approved clinical agents.
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