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Preziosi AJ, Priefer R. Oncology's trial and error: Analysis of the FDA withdrawn accelerated approvals. Life Sci 2024; 346:122615. [PMID: 38582392 DOI: 10.1016/j.lfs.2024.122615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 03/20/2024] [Accepted: 04/03/2024] [Indexed: 04/08/2024]
Abstract
Launched in 1992, the FDA accelerated approval program grants drugs indicated in rare/life threatening diseases the ability to be marketed at a faster pace than through the traditional track. Each manufacturing company presents its drug to the FDA, and within 60 days it will determine if the drug is eligible for this path. Many drugs that were initially approved through this route, subsequently did not demonstrate their clinical benefits. With cancer being a leading cause of death, a vast majority of drugs that have been approved/withdrawn from this pathway are indicated within oncology. There are a wide variety of cancer subtypes and therapeutic target sites that these drugs have been evaluated for. Herein, is an overview of the 17 oncology drugs, spanning 22 cancer-related indications, that had been approved within the accelerated route and subsequently withdrawn.
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Affiliation(s)
- Anthony J Preziosi
- Massachusetts College or Pharmacy and Health Sciences, Boston, MA 02115, United States of America
| | - Ronny Priefer
- Massachusetts College or Pharmacy and Health Sciences, Boston, MA 02115, United States of America.
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2
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Groll T, Aupperle-Lellbach H, Mogler C, Steiger K. [Comparative pathology in oncology-Best practice]. Pathologie (Heidelb) 2024; 45:190-197. [PMID: 38602524 DOI: 10.1007/s00292-024-01327-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/19/2024] [Indexed: 04/12/2024]
Abstract
Comparative experimental pathology is a research field at the interface of human and veterinary medicine. It is focused on the comparative study of similarities and differences between spontaneous and experimentally induced diseases in animals (animal models) compared to human diseases. The use of animal models for studying human diseases is an essential component of biomedical research. Interdisciplinary teams with species-specific expertise should collaborate wherever possible and maintain close communication. Mutual openness, cooperation, and willingness to learn form the basis for a fruitful collaboration. Research projects jointly led by or involving both animal and human pathologists make a significant contribution to high-quality biomedical research. Such approaches are promising not only in oncological research, as outlined in this article, but also in other research areas where animal models are regularly used, such as infectiology, neurology, and developmental biology.
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Affiliation(s)
- Tanja Groll
- Institut für Pathologie und Pathologische Anatomie, School of Medicine and Health, Technische Universität München, Trogerstraße 18, 81675, München, Deutschland
- Comparative Experimental Pathology (CEP), School of Medicine and Health, Technische Universität München, München, Deutschland
| | - Heike Aupperle-Lellbach
- Institut für Pathologie und Pathologische Anatomie, School of Medicine and Health, Technische Universität München, Trogerstraße 18, 81675, München, Deutschland
- Comparative Experimental Pathology (CEP), School of Medicine and Health, Technische Universität München, München, Deutschland
- LABOKLIN GmbH & Co. KG, Bad Kissingen, Deutschland
| | - Carolin Mogler
- Institut für Pathologie und Pathologische Anatomie, School of Medicine and Health, Technische Universität München, Trogerstraße 18, 81675, München, Deutschland
- Comparative Experimental Pathology (CEP), School of Medicine and Health, Technische Universität München, München, Deutschland
| | - Katja Steiger
- Institut für Pathologie und Pathologische Anatomie, School of Medicine and Health, Technische Universität München, Trogerstraße 18, 81675, München, Deutschland.
- Comparative Experimental Pathology (CEP), School of Medicine and Health, Technische Universität München, München, Deutschland.
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Lörsch AM, Jung J, Lange S, Pfarr N, Mogler C, Illert AL. [Personalized medicine in oncology]. Pathologie (Heidelb) 2024; 45:180-189. [PMID: 38568256 DOI: 10.1007/s00292-024-01315-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/16/2024] [Indexed: 04/26/2024]
Abstract
Due to the considerable technological progress in molecular and genetic diagnostics as well as increasing insights into the molecular pathogenesis of diseases, there has been a fundamental paradigm shift in the past two decades from a "one-size-fits-all approach" to personalized, molecularly informed treatment strategies. Personalized medicine or precision medicine focuses on the genetic, physiological, molecular, and biochemical differences between individuals and considers their effects on the development, prevention, and treatment of diseases. As a pioneer of personalized medicine, the field of oncology is particularly noteworthy, where personalized diagnostics and treatment have led to lasting change in the treatment of cancer patients in recent years. In this article, the significant change towards personalized treatment concepts, especially in the field of personalized oncology, will be discussed and examined in more detail.
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Affiliation(s)
- Alisa Martina Lörsch
- Zentrum für Personalisierte Medizin (ZPM), Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, München, Deutschland
- Klinik und Poliklinik für Innere Medizin III, Hämatologie und Onkologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland
- Bayerisches Zentrum für Krebsforschung (BZKF), Standort Technische Universität München, München, Deutschland
| | - Johannes Jung
- Zentrum für Personalisierte Medizin (ZPM), Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, München, Deutschland
- Klinik und Poliklinik für Innere Medizin III, Hämatologie und Onkologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland
- Bayerisches Zentrum für Krebsforschung (BZKF), Standort Technische Universität München, München, Deutschland
- Deutsches Konsortium für Translationale Krebsforschung (DKTK), Standort München, München, Deutschland
| | - Sebastian Lange
- Zentrum für Personalisierte Medizin (ZPM), Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, München, Deutschland
- Bayerisches Zentrum für Krebsforschung (BZKF), Standort Technische Universität München, München, Deutschland
- Klinik und Poliklinik für Innere Medizin II, Klinikum rechts der Isar, Technische Universität München, München, Deutschland
- Comprehensive Cancer Center München, Klinikum rechts der Isar, Technische Universität München, München, Deutschland
| | - Nicole Pfarr
- Zentrum für Personalisierte Medizin (ZPM), Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, München, Deutschland
- Bayerisches Zentrum für Krebsforschung (BZKF), Standort Technische Universität München, München, Deutschland
- Deutsches Konsortium für Translationale Krebsforschung (DKTK), Standort München, München, Deutschland
- Institut für Allgemeine Pathologie und Pathologische Anatomie, Technische Universität München, München, Deutschland
| | - Carolin Mogler
- Zentrum für Personalisierte Medizin (ZPM), Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, München, Deutschland
- Bayerisches Zentrum für Krebsforschung (BZKF), Standort Technische Universität München, München, Deutschland
- Deutsches Konsortium für Translationale Krebsforschung (DKTK), Standort München, München, Deutschland
- Comprehensive Cancer Center München, Klinikum rechts der Isar, Technische Universität München, München, Deutschland
- Institut für Allgemeine Pathologie und Pathologische Anatomie, Technische Universität München, München, Deutschland
| | - Anna Lena Illert
- Zentrum für Personalisierte Medizin (ZPM), Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, München, Deutschland.
- Klinik und Poliklinik für Innere Medizin III, Hämatologie und Onkologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland.
- Bayerisches Zentrum für Krebsforschung (BZKF), Standort Technische Universität München, München, Deutschland.
- Deutsches Konsortium für Translationale Krebsforschung (DKTK), Standort München, München, Deutschland.
- Comprehensive Cancer Center München, Klinikum rechts der Isar, Technische Universität München, München, Deutschland.
- Klinik für Innere Medizin I, Abteilung für Hämatologie, Onkologie und Stammzelltransplantation, Universitätsklinikum Freiburg, Freiburg, Deutschland.
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4
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Culp WTN. Veterinary Interventional Oncology. Vet Clin North Am Small Anim Pract 2024; 54:491-500. [PMID: 38184437 DOI: 10.1016/j.cvsm.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2024]
Abstract
Interventional oncology (IO) is a rapidly growing field in veterinary medicine and has been accepted as a fourth pillar of treatment of neoplastic disease with other modalities including surgery, chemotherapy, and radiation therapy. The major categories of IO therapies in companion animals are focused on the use of locoregional therapies and stenting of malignant obstructions. Although significant assessment of veterinary IO techniques is still necessary, early evaluation of these varying techniques is demonstrating promising results.
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Affiliation(s)
- William T N Culp
- University of California-Davis, School of Veterinary Medicine, One Garrod Drive, Davis, CA 95616, USA.
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Abdullah AA, Abd-El-Gawad WM, AboSerea SM, Ali FA, Ali S. Development and validation of impact of early integration of palliative care and oncology(IEI PCO) questionnaire: a survey for medical oncologists and nurses. BMC Palliat Care 2024; 23:109. [PMID: 38671419 DOI: 10.1186/s12904-024-01435-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 04/15/2024] [Indexed: 04/28/2024] Open
Abstract
OBJECTIVES Many associations have recently recommended early integration of oncology and palliative care for more standard cancer care and better quality of life. We aimed to create a questionnaire to assess the opinion of medical oncologists and nurses about the clinical impact of the integrated palliative care and oncology (PCO) program. METHODS A novel semi-structured questionnaire called Impact of Early Integration of Palliative Care Oncology (IEI PCO) questionnaire was developed and tested for validity and reliability then distributed to the oncologists and nurses working in Kuwait Cancer Control Center. RESULTS After the pilot stage, testing the final questionnaire for validity and reliability was done with satisfactory results. Finally, the complete questionnaires were 170 out of 256 (response rate 66.41%). More awareness about the available palliative care services and the new available PCO services (p-value < 0.001 for all). Most of the oncologists and nurses agreed with the currently available structure of PCO, appreciated the patients' discharge plan and continuity of care of palliative medicine, admitted less work burden, a better attitude, and higher satisfaction (p-value for all < 0.001) toward palliative care. Significant improvements in symptoms were appreciated by oncologists and nurses after the integration of palliative care (p-value for all < 0.001. Oncologists and nurses valued repeated honest communication, discussion of the goals of care, dealing more effectively with ending active treatment, and higher acceptance of patients and families of PC policy of transfer, and significant progress in the care of end-of-life symptoms (p-value for all < 0.001). CONCLUSIONS The IEI PCO questionnaire demonstrated the psychometric criteria for content, face, and construct validity and reliability. It provides a valuable tool to assess the impact of PCO integration. The opinion of medical oncologists and nurses was significantly positive toward the early integration of PCO in Kuwait in most aspects of care. This integration led to improved symptom control, end-of-life care, communication, and planned discharge and follow-up plans. Moreover, decreases the work burden, improves attitude, higher satisfaction of the oncology staff, and continuity of care.
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Affiliation(s)
| | - Wafaa Mostafa Abd-El-Gawad
- Associate Professor of Geriatrics and Gerontology Medicine, Geriatrics and Gerontology Department,Faculty of Medicine,, Ain Shams University, Al-Abbaseya, Cairo, Egypt.
| | | | | | - Saima Ali
- Research Analyst, Division of Continuing Professional Development, Weill Cornell Medicine, Qatar, Qatar
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6
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Jaiyesimi IA, Leighl NB, Ismaila N, Alluri K, Florez N, Gadgeel S, Masters G, Schenk EL, Schneider BJ, Sequist L, Singh N, Bazhenova L, Blanchard E, Freeman-Daily J, Furuya N, Halmos B, Azar IH, Kuruvilla S, Mullane M, Naidoo J, Reuss JE, Spigel DR, Owen DH, Patel JD. Therapy for Stage IV Non-Small Cell Lung Cancer With Driver Alterations: ASCO Living Guideline, Version 2023.3. J Clin Oncol 2024; 42:e1-e22. [PMID: 38417091 DOI: 10.1200/jco.23.02744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 01/18/2024] [Indexed: 03/01/2024] Open
Abstract
PURPOSE To provide evidence-based recommendations for patients with stage IV non-small cell lung cancer with driver alterations. METHODS This ASCO living guideline offers continually updated recommendations based on an ongoing systematic review of randomized clinical trials (RCTs), with the latest time frame spanning February to October 2023. An Expert Panel of medical oncology, pulmonary, community oncology, research methodology, and advocacy experts were convened. The literature search included systematic reviews, meta-analyses, and randomized controlled trials. Outcomes of interest include efficacy and safety. Expert Panel members used available evidence and informal consensus to develop evidence-based guideline recommendations. RESULTS This guideline consolidates all previous updates and reflects the body of evidence informing this guideline topic. Eight new RCTs were identified in the latest search of the literature to date. RECOMMENDATIONS Evidence-based recommendations were updated to address first, second, and subsequent treatment options for patients based on targetable driver alterations.Additional information is available at www.asco.org/living-guidelines.
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Affiliation(s)
- Ishmael A Jaiyesimi
- Corewell Health William Beaumont University Hospital, Royal Oak and Oakland University William Beaumont School of Medicine, Rochester, MI
| | - Natasha B Leighl
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Nofisat Ismaila
- American Society of Clinical Oncology (ASCO), Alexandria, VA
| | | | - Narjust Florez
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Shirish Gadgeel
- Henry Ford Cancer Institute/Henry Ford Health System, Detroit, MI
| | - Gregory Masters
- Helen F. Graham Cancer Center and Research Institute, Newark, DE
| | - Erin L Schenk
- University of Colorado Anschutz Medical Center, Aurora, CO
| | | | | | - Navneet Singh
- Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | | | | | | | - Naoki Furuya
- St Marianna University School of Medicine, Kawasaki, Japan
| | - Balazs Halmos
- Montefiore Einstein Center for Cancer Care, Bronx, NY
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7
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Jaiyesimi IA, Leighl NB, Ismaila N, Alluri K, Florez N, Gadgeel S, Masters G, Schenk EL, Schneider BJ, Sequist L, Singh N, Bazhenova L, Blanchard E, Freeman-Daily J, Furuya N, Halmos B, Azar IH, Kuruvilla S, Mullane M, Naidoo J, Reuss JE, Spigel DR, Owen DH, Patel JD. Therapy for Stage IV Non-Small Cell Lung Cancer Without Driver Alterations: ASCO Living Guideline, Version 2023.3. J Clin Oncol 2024; 42:e23-e43. [PMID: 38417098 DOI: 10.1200/jco.23.02746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 12/27/2023] [Indexed: 03/01/2024] Open
Abstract
PURPOSE To provide evidence-based recommendations for patients with stage IV non-small cell lung cancer (NSCLC) without driver alterations. METHODS This ASCO living guideline offers continually updated recommendations based on an ongoing systematic review of randomized clinical trials (RCTs), with the latest time frame spanning February to October 2023. An Expert Panel of medical oncology, pulmonary, community oncology, research methodology, and advocacy experts were convened. The literature search included systematic reviews, meta-analyses, and randomized controlled trials. Outcomes of interest include efficacy and safety. Expert Panel members used available evidence and informal consensus to develop evidence-based guideline recommendations. RESULTS This guideline consolidates all previous updates and reflects the body of evidence informing this guideline topic. Ten new RCTs were identified in the latest search of the literature to date. RECOMMENDATIONS Evidence-based recommendations were updated to address first, second, and subsequent treatment options for patients without driver alterations.Additional information is available at www.asco.org/living-guidelines.
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Affiliation(s)
- Ishmael A Jaiyesimi
- Corewell Health William Beaumont University Hospital, Royal Oak and Oakland University William Beaumont School of Medicine, Rochester, MI
| | - Natasha B Leighl
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | | | | | - Narjust Florez
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Shirish Gadgeel
- Henry Ford Cancer Institute/Henry Ford Health System, Detroit, MI
| | - Gregory Masters
- Helen F. Graham Cancer Center and Research Institute, Newark, DE
| | - Erin L Schenk
- University of Colorado Anschutz Medical Center, Aurora, CO
| | | | | | - Navneet Singh
- Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | | | | | | | - Naoki Furuya
- St Marianna University School of Medicine, Kawasaki, Japan
| | - Balazs Halmos
- Montefiore Einstein Center for Cancer Care, Bronx, NY
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8
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Ahmed S. Innovation and Discovery: A 30-Year Journey in Advancing Cancer Care. Curr Oncol 2024; 31:2109-2111. [PMID: 38668059 DOI: 10.3390/curroncol31040156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 04/04/2024] [Indexed: 04/28/2024] Open
Abstract
Since the inaugural issue of Current Oncology was published 30 years ago, we have witnessed significant advancements in cancer research and care [...].
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Affiliation(s)
- Shahid Ahmed
- Division of Oncology, University of Saskatchewan, Saskatoon, SK S7N5E5, Canada
- Saskatchewan Cancer Agency, Saskatoon Cancer Center, Saskatoon, SK S7N5H5, Canada
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9
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Capella MP, Esfahani K. A Review of Practice-Changing Therapies in Oncology in the Era of Personalized Medicine. Curr Oncol 2024; 31:1913-1919. [PMID: 38668046 DOI: 10.3390/curroncol31040143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 02/17/2024] [Accepted: 03/28/2024] [Indexed: 04/28/2024] Open
Abstract
In the past decade, a lot of insight was gathered into the composition of the host and tumor factors that promote oncogenesis and treatment resistance. This in turn has led to the ingenious design of multiple new classes of drugs, which have now become the new standards of care in cancer therapy. These include novel antibody-drug conjugates, chimeric antigen receptor T cell therapies (CAR-T), and bispecific T cell engagers (BitTE). Certain host factors, such as the microbiome composition, are also emerging not only as biomarkers for the response and toxicity to anti-cancer therapies but also as potentially useful tools to modulate anti-tumor responses. The field is slowly moving away from one-size-fits-all treatment options to personalized treatments tailored to the host and tumor. This commentary aims to cover the basic concepts associated with these emerging therapies and the promises and challenges to fight cancer.
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Affiliation(s)
- Mariana Pilon Capella
- Lady Davis Institute and Segal Cancer Centre, Jewish General Hospital, Departments of Medicine and Oncology, McGill University, Montreal, QC H3T 1E9, Canada
| | - Khashayar Esfahani
- Lady Davis Institute and Segal Cancer Centre, Jewish General Hospital, Departments of Medicine and Oncology, McGill University, Montreal, QC H3T 1E9, Canada
- St Mary's Hospital, Departments of Medicine and Oncology, McGill University, Montreal, QC H3T 1M5, Canada
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10
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Stueger A, Joerger M, De Nys K. Geriatric evaluation methods in oncology and their use in clinical studies: A systematic literature review. J Geriatr Oncol 2024; 15:101684. [PMID: 38072709 DOI: 10.1016/j.jgo.2023.101684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 06/04/2023] [Accepted: 12/01/2023] [Indexed: 04/06/2024]
Abstract
INTRODUCTION Therapeutic options in oncology keep on expanding. Nonetheless, older adults are underrepresented in clinical trials and those enrolled often have a better health status than their average peers, resulting in a lack of representative evidence for this heterogenous population. The inclusion of older patients and a uniform categorization of "frailty" is becoming increasingly urgent. Standardized tools could contribute to the quality and comparability of clinical trials and facilitate clinical decisions. The aim of this literature review was to elaborate an overview of the use of geriatric evaluation (GE) methods in clinical cancer research. MATERIALS AND METHODS We performed a literature review of the PubMed database. Clinical pharmacotherapy studies that applied or evaluated a clearly defined system for the GE of oncological patients were included. Data retrieved encompassed the applied GE method(s), cancer type(s), and pharmacotherapy investigated, the number of included patients, study type, year of publication, as well as the primary purpose of the GE. The GEs used most frequently were depicted in more depth. RESULTS In this literature review, 103 publications were selected for inclusion. The biggest proportion of studies (36%, n = 34) used clearly defined, but not previously validated, GE methods (study-specific GE). Standardized GE methods encountered in at least five publications were the G8 screening test (applied in 18% of included studies, n = 17), the Balducci score (7%, n = 7), and a geriatric assessment based on Hurria (5%, n = 5). The primary purpose of GE was predominantly an appraisal of its potential role in pharmacotherapy optimization. The GE also served as baseline and outcome measure, inclusion/exclusion criterion, factor for stratified randomization, and to determine treatment allocation. DISCUSSION The wide range of GE methods used across studies make direct comparisons difficult, and many methods are poorly characterized and/or not previously validated. The further inclusion of representative older patients in clinical trials combined with the use of a standardized GE could help clinicians in the decision-making process.
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Affiliation(s)
- Amelie Stueger
- Faculty of Medicine, University of Basel, Klingelbergstrasse 61, 4056 Basel, Switzerland.
| | - Markus Joerger
- Faculty of Medicine, University of Basel, Klingelbergstrasse 61, 4056 Basel, Switzerland; Department of Oncology and Hematology, Kantonsspital St. Gallen, Rorschacherstrasse 95, CH-9000 St. Gallen, Switzerland.
| | - Katelijne De Nys
- Palliativzentrum, Kantonsspital St. Gallen, Rorschacherstrasse 95, CH-9000 St. Gallen, Switzerland; KU Leuven, Department of Pharmaceutical and Pharmacological Sciences, ON2 Herestraat 49 - box 424, BE-3000 Leuven, Belgium.
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11
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Fountzilas E, Tsimberidou AM, Hiep Vo H, Kurzrock R. Tumor-agnostic baskets to N-of-1 platform trials and real-world data: Transforming precision oncology clinical trial design. Cancer Treat Rev 2024; 125:102703. [PMID: 38484408 DOI: 10.1016/j.ctrv.2024.102703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/24/2024] [Accepted: 02/27/2024] [Indexed: 04/06/2024]
Abstract
Choosing the right drug(s) for the right patient via advanced genomic sequencing and multi-omic interrogation is the sine qua non of precision cancer medicine. Traditional cancer clinical trial designs follow well-defined protocols to evaluate the efficacy of new therapies in patient groups, usually identified by their histology/tissue of origin of their malignancy. In contrast, precision medicine seeks to optimize benefit in individual patients, i.e., to define who benefits rather than determine whether the overall group benefits. Since cancer is a disease driven by molecular alterations, innovative trial designs, including biomarker-defined tumor-agnostic basket trials, are driving ground-breaking regulatory approvals and deployment of gene- and immune-targeted drugs. Molecular interrogation further reveals the disruptive reality that advanced cancers are extraordinarily complex and individually distinct. Therefore, optimized treatment often requires drug combinations and N-of-1 customization, addressed by a new generation of N-of-1 trials. Real-world data and structured master registry trials are also providing massive datasets that are further fueling a transformation in oncology. Finally, machine learning is facilitating rapid discovery, and it is plausible that high-throughput computing, in silico modeling, and 3-dimensional printing may be exploitable in the near future to discover and design customized drugs in real time.
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Affiliation(s)
- Elena Fountzilas
- Department of Medical Oncology, St Luke's Clinic, Thessaloniki, Greece; European University Cyprus, German Oncology Center, Nicosia, Cyprus
| | - Apostolia-Maria Tsimberidou
- The University of Texas MD Anderson Cancer Center, Department of Investigational Cancer Therapeutics, Houston, TX, USA.
| | - Henry Hiep Vo
- The University of Texas MD Anderson Cancer Center, Department of Investigational Cancer Therapeutics, Houston, TX, USA
| | - Razelle Kurzrock
- WIN Consortium for Precision Medicine, France; Medical College of Wisconsin, USA
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12
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Caglayan A, Slusarczyk W, Rabbani RD, Ghose A, Papadopoulos V, Boussios S. Large Language Models in Oncology: Revolution or Cause for Concern? Curr Oncol 2024; 31:1817-1830. [PMID: 38668040 DOI: 10.3390/curroncol31040137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 03/13/2024] [Accepted: 03/29/2024] [Indexed: 04/28/2024] Open
Abstract
The technological capability of artificial intelligence (AI) continues to advance with great strength. Recently, the release of large language models has taken the world by storm with concurrent excitement and concern. As a consequence of their impressive ability and versatility, their provide a potential opportunity for implementation in oncology. Areas of possible application include supporting clinical decision making, education, and contributing to cancer research. Despite the promises that these novel systems can offer, several limitations and barriers challenge their implementation. It is imperative that concerns, such as accountability, data inaccuracy, and data protection, are addressed prior to their integration in oncology. As the progression of artificial intelligence systems continues, new ethical and practical dilemmas will also be approached; thus, the evaluation of these limitations and concerns will be dynamic in nature. This review offers a comprehensive overview of the potential application of large language models in oncology, as well as concerns surrounding their implementation in cancer care.
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Affiliation(s)
- Aydin Caglayan
- Department of Medical Oncology, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK
| | | | | | - Aruni Ghose
- Department of Medical Oncology, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK
- Department of Medical Oncology, Barts Cancer Centre, St Bartholomew's Hospital, Barts Heath NHS Trust, London EC1A 7BE, UK
- Department of Medical Oncology, Mount Vernon Cancer Centre, East and North Hertfordshire Trust, London HA6 2RN, UK
- Health Systems and Treatment Optimisation Network, European Cancer Organisation, 1040 Brussels, Belgium
- Oncology Council, Royal Society of Medicine, London W1G 0AE, UK
| | | | - Stergios Boussios
- Department of Medical Oncology, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK
- Kent Medway Medical School, University of Kent, Canterbury CT2 7LX, UK
- Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, King's College London, Strand Campus, London WC2R 2LS, UK
- Faculty of Medicine, Health, and Social Care, Canterbury Christ Church University, Canterbury CT2 7PB, UK
- AELIA Organization, 9th Km Thessaloniki-Thermi, 57001 Thessaloniki, Greece
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13
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Passaro A, Al Bakir M, Hamilton EG, Diehn M, André F, Roy-Chowdhuri S, Mountzios G, Wistuba II, Swanton C, Peters S. Cancer biomarkers: Emerging trends and clinical implications for personalized treatment. Cell 2024; 187:1617-1635. [PMID: 38552610 DOI: 10.1016/j.cell.2024.02.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/21/2024] [Accepted: 02/28/2024] [Indexed: 04/02/2024]
Abstract
The integration of cancer biomarkers into oncology has revolutionized cancer treatment, yielding remarkable advancements in cancer therapeutics and the prognosis of cancer patients. The development of personalized medicine represents a turning point and a new paradigm in cancer management, as biomarkers enable oncologists to tailor treatments based on the unique molecular profile of each patient's tumor. In this review, we discuss the scientific milestones of cancer biomarkers and explore future possibilities to improve the management of patients with solid tumors. This progress is primarily attributed to the biological characterization of cancers, advancements in testing methodologies, elucidation of the immune microenvironment, and the ability to profile circulating tumor fractions. Integrating these insights promises to continually advance the precision oncology field, fostering better patient outcomes.
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Affiliation(s)
- Antonio Passaro
- Division of Thoracic Oncology, European Institute of Oncology IRCCS, Milan, Italy
| | - Maise Al Bakir
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Emily G Hamilton
- Department of Radiation Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Fabrice André
- Gustave-Roussy Cancer Center, Paris Saclay University, Villejuif, France
| | - Sinchita Roy-Chowdhuri
- Department of Anatomic Pathology and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Giannis Mountzios
- Fourth Department of Medical Oncology and Clinical Trials Unit, Henry Dunant Hospital Center, Athens, Greece
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Department of Oncology, University College London Hospitals, London, UK
| | - Solange Peters
- Department of Oncology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
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14
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Perez JK, Kleber J, Rothe M, Mangat P, Garrett-Mayer E, Schilsky RL. Concordance in Molecular Tumor Board Case Reviews in the ASCO TAPUR Study. JCO Precis Oncol 2024; 8:e2300615. [PMID: 38564684 DOI: 10.1200/po.23.00615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/02/2024] [Accepted: 01/16/2024] [Indexed: 04/04/2024] Open
Abstract
PURPOSE With the advent of precision medicine, molecular tumor boards (MTBs) were established to interpret genomic results and guide decision making for targeted therapy in oncology patients. There are currently no universal guidelines for how MTBs should operate and thus variance can be seen depending on which MTB is reviewing the case. This study assesses the concordance of MTB recommendations when a participant case is reviewed by two different MTBs, establishes potential reasons for discordance, and advocates for the establishment of standard MTB operating guidelines. PATIENTS AND METHODS Participants with advanced cancer, who had exhausted all standard treatment options were screened for the Targeted Agent and Profiling Utilization Registry (TAPUR) Study. Cases were submitted for MTB review if the treatment proposal was outside the protocol genomic matching rules, or if multiple treatment options were identified. Of the 306 cases submitted for review by the TAPUR MTB from 2016 to 2018, 107 were randomly selected for secondary review by a different MTB group. Recommendations from the original review were not disclosed. Concordance between MTB group recommendations was assessed. Concordance was defined as agreement between MTB reviews on the genomic alteration and study drug match proposed by the clinical site. Thematic qualitative analysis was conducted for the discordant cases to assess reasons for discordance. RESULTS Complete or partial concordance was observed in 79% of cases (95% CI, 70 to 86; one-sided P = .25). Most discordant analyses were due to disagreements on the strength of evidence regarding efficacy of the proposed treatment (32%). CONCLUSION When presented with identical participant cases, different MTB review groups make the same or similar treatment recommendations approximately 80% of the time.
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Affiliation(s)
| | | | - Michael Rothe
- American Society of Clinical Oncology, Alexandria, VA
| | - Pam Mangat
- American Society of Clinical Oncology, Alexandria, VA
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15
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Pearson ADJ, de Rojas T, Karres D, Reaman G, Scobie N, Fox E, Lesa G, Ligas F, Norga K, Nysom K, Pappo A, Weigel B, Weiner SL, Vassal G. Impact of ACCELERATE Paediatric Strategy Forums: a review of the value of multi-stakeholder meetings in oncology drug development. J Natl Cancer Inst 2024; 116:200-207. [PMID: 37975877 PMCID: PMC10852613 DOI: 10.1093/jnci/djad239] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/23/2023] [Accepted: 11/06/2023] [Indexed: 11/19/2023] Open
Abstract
In a landscape of an increasing number of products and histology and age agnostic trials for rare patient cancer, prioritization of products is required. Paediatric Strategy Forums, organized by ACCELERATE and the European Medicines Agency with participation of the US Food and Drug Administration, are multi-stakeholder meetings that share information to best inform pediatric drug development strategies and subsequent clinical trial decisions. Academia, industry, regulators, and patient advocates are equal members, with patient advocates highlighting unmet needs of children and adolescents with cancer. The 11 Paediatric Strategy Forums since 2017 have made specific and general conclusions to accelerate drug development. Conclusions on product prioritization meetings, as well as global master protocols, have been outputs of these meetings. Forums have provided information for regulatory discussions and decisions by industry to facilitate development of high-priority products; for example, 62% of high-priority assets (agreed at a Forum) in contrast to 5% of those assets not considered high priority have been the subject of a Paediatric Investigational Plan or Written Request. Where there are multiple products of the same class, Forums have recommended a focused and sequential approach. Class prioritization resulted in an increase in waivers for non-prioritized B-cell products (44% to 75%) and a decrease in monotherapy trials, proposed in Paediatric Investigation Plans (PIP) submissions of checkpoint inhibitors from 53% to 19%. Strategy Forums could play a role in defining unmet medical needs. Multi-stakeholder forums, such as the Paediatric Strategy Forum, serve as a model to improve collaboration in the oncology drug development paradigm.
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Affiliation(s)
| | | | - Dominik Karres
- Paediatric Medicines Office, Scientific Evidence Generation Department, Human Division, European Medicines Agency (EMA), Amsterdam, The Netherlands
| | - Gregory Reaman
- US Food and Drug Administration (FDA), Silver Spring, MD, USA
| | | | - Elizabeth Fox
- St Jude Children’s Research Hospital, Memphis, TN, USA
| | - Giovanni Lesa
- Paediatric Medicines Office, Scientific Evidence Generation Department, Human Division, European Medicines Agency (EMA), Amsterdam, The Netherlands
| | - Franca Ligas
- Paediatric Medicines Office, Scientific Evidence Generation Department, Human Division, European Medicines Agency (EMA), Amsterdam, The Netherlands
| | - Koen Norga
- Antwerp University Hospital, Antwerp, Belgium
- Paediatric Committee of the European Medicines Agency, (EMA), Amsterdam, The Netherlands
- Federal Agency for Medicines and Health Products, Brussels, Belgium
| | | | - Alberto Pappo
- St Jude Children’s Research Hospital, Memphis, TN, USA
| | | | | | - Gilles Vassal
- ACCELERATE, Brussels, Belgium, Europe
- Gustave Roussy Cancer Centre, Paris, France
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16
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Feng X, Shu W, Li M, Li J, Xu J, He M. Pathogenomics for accurate diagnosis, treatment, prognosis of oncology: a cutting edge overview. J Transl Med 2024; 22:131. [PMID: 38310237 PMCID: PMC10837897 DOI: 10.1186/s12967-024-04915-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/20/2024] [Indexed: 02/05/2024] Open
Abstract
The capability to gather heterogeneous data, alongside the increasing power of artificial intelligence to examine it, leading a revolution in harnessing multimodal data in the life sciences. However, most approaches are limited to unimodal data, leaving integrated approaches across modalities relatively underdeveloped in computational pathology. Pathogenomics, as an invasive method to integrate advanced molecular diagnostics from genomic data, morphological information from histopathological imaging, and codified clinical data enable the discovery of new multimodal cancer biomarkers to propel the field of precision oncology in the coming decade. In this perspective, we offer our opinions on synthesizing complementary modalities of data with emerging multimodal artificial intelligence methods in pathogenomics. It includes correlation between the pathological and genomic profile of cancer, fusion of histology, and genomics profile of cancer. We also present challenges, opportunities, and avenues for future work.
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Affiliation(s)
- Xiaobing Feng
- College of Electrical and Information Engineering, Hunan University, Changsha, China
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China
| | - Wen Shu
- College of Electrical and Information Engineering, Hunan University, Changsha, China
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China
| | - Mingya Li
- College of Electrical and Information Engineering, Hunan University, Changsha, China
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China
| | - Junyu Li
- College of Electrical and Information Engineering, Hunan University, Changsha, China
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China
| | - Junyao Xu
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China
| | - Min He
- College of Electrical and Information Engineering, Hunan University, Changsha, China.
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China.
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17
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Mardis ER. Overview of modern genomic tools for diagnosis and precision therapy of childhood solid cancers. Curr Opin Pediatr 2024; 36:71-77. [PMID: 37972971 PMCID: PMC10763706 DOI: 10.1097/mop.0000000000001311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
PURPOSE OF REVIEW The application of technology and computational analyses to generate new data types from pediatric solid cancers is transforming diagnostic accuracy. This review provides an overview of such new capabilities in the pursuit of improved treatment for essentially rare and underserved diseases that are the highest cause of mortality in children over one year of age. Sophisticated ways of identifying therapeutic vulnerabilities for highly personalized treatment are presented alongside cutting-edge disease response monitoring by liquid biopsy. RECENT FINDINGS Precision molecular profiling data are now being combined with conventional pathology-based evaluation of pediatric cancer tissues. The resulting diagnostic information can be used to guide therapeutic decision-making, including the use of small molecule inhibitors and of immunotherapies. Integrating somatic and germline variant profiles constitutes a critical component of this emerging paradigm, as does tissue-of-origin derivation from methylation profiling, and rapid screening of potential therapies. These new approaches are poised for use in disease response and therapy resistance monitoring. SUMMARY The integration of clinical molecular profiling data with pathology can provide a highly precise diagnosis, identify therapeutic vulnerabilities, and monitor patient responses, providing next steps toward precision oncology for improved outcomes, including reducing lifelong treatment-related sequelae.
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Affiliation(s)
- Elaine R Mardis
- The Steve and Cindy Rasmussen Institute for Genomic Medicine at Nationwide Children's Hospital, Columbus, Ohio, USA
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18
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Hönikl LS, Lange S, Butenschoen VM, Delbridge C, Meyer B, Combs SE, Illert AL, Schmidt-Graf F. The role of molecular tumor boards in neuro-oncology: a nationwide survey. BMC Cancer 2024; 24:108. [PMID: 38243190 PMCID: PMC10797778 DOI: 10.1186/s12885-024-11858-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/09/2024] [Indexed: 01/21/2024] Open
Abstract
BACKGROUND In neuro-oncology, the inclusion of tumor patients in the molecular tumor board has only become increasingly widespread in recent years, but so far there are no standards for indication, procedure, evaluation, therapy recommendations and therapy implementation of neuro-oncological patients. The present work examines the current handling of neuro-oncological patients included in molecular tumor boards in Germany. METHODS We created an online based survey with questions covering the handling of neuro-oncologic patient inclusion, annotation of genetic analyses, management of target therapies and the general role of molecular tumor boards in neuro-oncology in Germany. We contacted all members of the Neuro-Oncology working group (NOA) of the German Cancer Society (DKG) by e-mail. RESULTS 38 responses were collected. The majority of those who responded were specialists in neurosurgery or neurology with more than 10 years of professional experience working at a university hospital. Molecular tumor boards (MTB) regularly take place once a week and all treatment disciplines of neuro-oncology patients take part. The inclusions to the MTB are according to distinct tumors and predominantly in case of tumor recurrence. An independently MTB member mostly create the recommendations, which are regularly implemented in the tumor treatment. Recommendations are given for alteration classes 4 and 5. Problems exist mostly within the cost takeover of experimental therapies. The experimental therapies are mostly given in the department of medical oncology. CONCLUSIONS Molecular tumor boards for neuro-oncological patients, by now, are not standardized in Germany. Similarities exists for patient inclusion and interpretation of molecular alterations; the time point of inclusion and implementation during the patient treatment differ between the various hospitals. Further studies for standardization and harmonisation are needed. In summary, most of the interviewees envision great opportunities and possibilities for molecular-based neuro-oncological therapy in the future.
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Affiliation(s)
- Lisa S Hönikl
- Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Str. 22, 81675, Munich, Germany.
- Center for Personalized Medicine (ZPM), Klinikum rechts der Isar, Technical Universitiy of Munich (TUM), Munich, Germany.
| | - Sebastian Lange
- Center for Personalized Medicine (ZPM), Klinikum rechts der Isar, Technical Universitiy of Munich (TUM), Munich, Germany
- Department of Medicine II, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Vicki M Butenschoen
- Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Str. 22, 81675, Munich, Germany
| | - Claire Delbridge
- Center for Personalized Medicine (ZPM), Klinikum rechts der Isar, Technical Universitiy of Munich (TUM), Munich, Germany
- Department of Neuropathology, Institute of Pathology, Technical University of Munich (TUM), Munich, Germany
| | - Bernhard Meyer
- Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Str. 22, 81675, Munich, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Anna Lena Illert
- Center for Personalized Medicine (ZPM), Klinikum rechts der Isar, Technical Universitiy of Munich (TUM), Munich, Germany
- Department of Medicine III, Faculty of Medicine, Klinikum Rechts der Isar, Technical University Munich (TUM), Munich, Germany
| | - Friederike Schmidt-Graf
- Center for Personalized Medicine (ZPM), Klinikum rechts der Isar, Technical Universitiy of Munich (TUM), Munich, Germany
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
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19
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Suehnholz SP, Nissan MH, Zhang H, Kundra R, Nandakumar S, Lu C, Carrero S, Dhaneshwar A, Fernandez N, Xu BW, Arcila ME, Zehir A, Syed A, Brannon AR, Rudolph JE, Paraiso E, Sabbatini PJ, Levine RL, Dogan A, Gao J, Ladanyi M, Drilon A, Berger MF, Solit DB, Schultz N, Chakravarty D. Quantifying the Expanding Landscape of Clinical Actionability for Patients with Cancer. Cancer Discov 2024; 14:49-65. [PMID: 37849038 PMCID: PMC10784742 DOI: 10.1158/2159-8290.cd-23-0467] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/18/2023] [Accepted: 10/02/2023] [Indexed: 10/19/2023]
Abstract
There is a continuing debate about the proportion of cancer patients that benefit from precision oncology, attributable in part to conflicting views as to which molecular alterations are clinically actionable. To quantify the expansion of clinical actionability since 2017, we annotated 47,271 solid tumors sequenced with the MSK-IMPACT clinical assay using two temporally distinct versions of the OncoKB knowledge base deployed 5 years apart. Between 2017 and 2022, we observed an increase from 8.9% to 31.6% in the fraction of tumors harboring a standard care (level 1 or 2) predictive biomarker of therapy response and an almost halving of tumors carrying nonactionable drivers (44.2% to 22.8%). In tumors with limited or no clinical actionability, TP53 (43.2%), KRAS (19.2%), and CDKN2A (12.2%) were the most frequently altered genes. SIGNIFICANCE Although clear progress has been made in expanding the availability of precision oncology-based treatment paradigms, our results suggest a continued unmet need for innovative therapeutic strategies, particularly for cancers with currently undruggable oncogenic drivers. See related commentary by Horak and Fröhling, p. 18. This article is featured in Selected Articles from This Issue, p. 5.
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Affiliation(s)
- Sarah P. Suehnholz
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Moriah H. Nissan
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Hongxin Zhang
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ritika Kundra
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Subhiksha Nandakumar
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Calvin Lu
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Stephanie Carrero
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Amanda Dhaneshwar
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nicole Fernandez
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Benjamin W. Xu
- Department of Computer Science, Yale University, New Haven, Connecticut
| | - Maria E. Arcila
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ahmet Zehir
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Aijazuddin Syed
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - A. Rose Brannon
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Julia E. Rudolph
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Eder Paraiso
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Paul J. Sabbatini
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ross L. Levine
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jianjiong Gao
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marc Ladanyi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Alexander Drilon
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Michael F. Berger
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David B. Solit
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nikolaus Schultz
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Debyani Chakravarty
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
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20
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Ritter A, Levyn H, Shah J. Recent advances in head and neck surgical oncology. J Surg Oncol 2024; 129:32-39. [PMID: 37990842 PMCID: PMC10842243 DOI: 10.1002/jso.27529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 11/23/2023]
Abstract
In recent years, the field of head and neck oncology has witnessed a remarkable transformation with unprecedented advances that have revolutionized the management of complex tumors in this region. As an intricate subspecialty within oncology, head and neck surgical procedures demand detailed knowledge of the complex anatomy meticulous precision in surgical technique, and expertise to preserve vital functions while ensuring optimal oncological outcomes. With the relentless pursuit of improved patient outcomes, the integration of innovative technologies has significantly enhanced the surgical armamentarium. Robotics, endoscopic platforms, and image-guided navigation have revolutionized the surgical approach, enabling precise tumor resection and sparing healthy tissues. Furthermore, the application of advanced imaging modalities and molecular biomarker profiling has opened new avenues for personalized treatment strategies. From targeted therapies and immunotherapies to adaptive radiation techniques, clinicians are now equipped with an array of tailored options, ushering in a new era of personalized care for patients with head and neck malignancies. This article delves into the unfolding narratives of clinical triumphs, exploring the transformative potential of emerging therapies and the collaborative efforts propelling head and neck surgical oncology toward a future of hope and healing.
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21
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Nierengarten MB. First person profile: Patrick J. Loehrer, MD: Dr Loehrer's lifelong passion for bringing high-quality oncology care to underresourced communities has taken on global dimensions. Cancer 2024; 130:170. [PMID: 38251415 DOI: 10.1002/cncr.35160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
This news section offers Cancer readers timely information on events, public policy analysis, topical issues, and personalities. In this issue, Patrick J. Loehrer, MD, has had a lifelong passion for bringing high‐quality oncology care to underresourced local and global communities. In addition, good oral health is linked to better overall survival for patients with head and neck squamous cell carcinoma and researchers have found a novel biomarker that has improved diagnostic accuracy for nasopharyngeal cancer.
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22
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Khurshid H, Ismaila N, Bian J, Dabney R, Das M, Ellis P, Feldman J, Hann C, Kulkarni S, Laskin J, Manochakian R, Mishra DR, Preeshagul I, Reddy P, Saxena A, Weinberg F, Kalemkerian GP. Systemic Therapy for Small-Cell Lung Cancer: ASCO-Ontario Health (Cancer Care Ontario) Guideline. J Clin Oncol 2023; 41:5448-5472. [PMID: 37820295 DOI: 10.1200/jco.23.01435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 07/17/2023] [Accepted: 07/20/2023] [Indexed: 10/13/2023] Open
Abstract
PURPOSE To provide evidence-based recommendations to practicing clinicians on the management of patients with small-cell lung cancer. METHODS An Expert Panel of medical oncology, thoracic surgery, radiation oncology, pulmonary, community oncology, research methodology, and advocacy experts were convened to conduct a literature search, which included systematic reviews, meta-analyses, and randomized controlled trials published from 1990 through 2022. Outcomes of interest included response rates, overall survival, disease-free survival or recurrence-free survival, and quality of life. Expert Panel members used available evidence and informal consensus to develop evidence-based guideline recommendations. RESULTS The literature search identified 95 relevant studies to inform the evidence base for this guideline. RECOMMENDATIONS Evidence-based recommendations were developed to address systemic therapy options, timing of therapy, treatment in patients who are older or with poor performance status, role of biomarkers, and use of myeloid-supporting agents in patients with small-cell lung cancer.Additional information is available at www.asco.org/thoracic-cancer-guidelines.
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Affiliation(s)
| | - Nofisat Ismaila
- American Society of Clinical Oncology (ASCO), Alexandria, VA
| | | | | | | | - Peter Ellis
- Juravinski Cancer Center, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Jill Feldman
- EGFR Resisters Patient Advocacy Group, Deerfield, IL
| | | | - Swati Kulkarni
- Western University, Windsor Regional Cancer Program, Windsor, Ontario, Canada
| | - Janessa Laskin
- University of British Columbia, Vancouver, British Columbia, Canada
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23
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Harris LN, Blanke CD, Erba HP, Ford JM, Gray RJ, LeBlanc ML, Hu-Lieskovan S, Litzow MR, Luger SM, Meric-Bernstam F, O'Dwyer PJ, Othus MK, Politi K, Shepherd LE, Allegra CJ, Chen HX, Ivy SP, Korde LA, Little RF, McShane LM, Moscow JA, Patton DR, Thurin M, Yee LM, Doroshow JH. The New NCI Precision Medicine Trials. Clin Cancer Res 2023; 29:4728-4732. [PMID: 37531248 PMCID: PMC10690084 DOI: 10.1158/1078-0432.ccr-23-0917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 06/06/2023] [Accepted: 07/20/2023] [Indexed: 08/04/2023]
Abstract
Basket, umbrella, and platform trial designs (master protocols) have emerged over the last decade to study precision medicine approaches in oncology. First-generation trials like NCI-MATCH (Molecular Analysis for Therapy Choice) have proven the principle that studying targeted therapies on a large scale is feasible both from the laboratory and clinical perspectives. However, single-agent targeted therapies have shown limited ability to control metastatic disease, despite careful matching of drug to target. As such, newer approaches employing combinations of targeted therapy, or targeted therapy with standard therapies, need to be considered. The NCI has recently embarked on three second-generation precision medicine trials to address this need: ComboMATCH, iMATCH, and myeloMATCH. The design of these trials and necessary infrastructure are discussed in the following perspective.
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Affiliation(s)
| | - Charles D. Blanke
- SWOG Cancer Research Network, OHSU Knight Cancer Center, Portland, Oregon
| | - Harry P. Erba
- Department of Medicine, Duke Cancer Center, Durham, North Carolina
| | - James M. Ford
- Division of Oncology, Stanford University School of Medicine, Stanford, California
| | - Robert J. Gray
- Department of Data Science, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Michael L. LeBlanc
- SWOG Statistics and Data Management Center, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Siwen Hu-Lieskovan
- Department of Medicine, University of Utah School of Medicine, Salt Lake City, Utah
| | - Mark R. Litzow
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Selina M. Luger
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Peter J. O'Dwyer
- ECOG-ACRIN Cancer Research Group, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Megan K.D. Othus
- Biostatistics, Public Health Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Katerina Politi
- Section of Medical Oncology, Yale School of Medicine, New Haven, Connecticut
| | - Lois E. Shepherd
- Canadian Cancer Trials Group, Queen's University, Kingston, Ontario, Canada
| | | | - Helen X. Chen
- Division of Cancer Treatment and Diagnosis, NCI, Bethesda, Maryland
| | - S. Percy Ivy
- Division of Cancer Treatment and Diagnosis, NCI, Bethesda, Maryland
| | - Larissa A. Korde
- Division of Cancer Treatment and Diagnosis, NCI, Bethesda, Maryland
| | | | - Lisa M. McShane
- Division of Cancer Treatment and Diagnosis, NCI, Bethesda, Maryland
| | | | - David R. Patton
- Clinical and Translational Research Branch, Center for Biomedical Informatics and Information Technology, NCI, Rockville, Maryland
| | - Magdalena Thurin
- Division of Cancer Treatment and Diagnosis, NCI, Bethesda, Maryland
| | - Laura M. Yee
- Division of Cancer Treatment and Diagnosis, NCI, Bethesda, Maryland
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24
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Zhou Y. Realizing the Dream of Precision Oncology: A Solution for All Patients. J Mol Diagn 2023; 25:851-856. [PMID: 37748706 DOI: 10.1016/j.jmoldx.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/16/2023] [Accepted: 09/07/2023] [Indexed: 09/27/2023] Open
Abstract
MICRO-ABSTRACT As molecularly informed oncology care has increasingly become standard practice for patients with cancer, society must prioritize equitable access to genetic testing that guides subsequent care. Despite the availability of genomic testing laboratories, published guidelines, US Food and Drug Administration-approved targeted therapies, financial assistance programs, and clinical decision tools, precision medicine remains out of reach for many patients. While there has been modest improvement in testing rates in recent years, molecular testing and targeted therapy for cancer patients continue to vary by practice setting and patient insurance status, and racial and socioeconomic disparities persist. National standards and centralized solutions are needed to promote the equitable distribution of patient benefit from precision medicine technology. Although various online resources are currently available, no single all-encompassing precision oncology tool currently exists. A one-stop shop to address all aspects of precision oncology-tissue selection and test ordering, interpretation of results, prescribing targeted therapies, and enrolling patients in clinical trials-would disrupt cancer care. Recent advances in artificial intelligence, digital pathology, and data science provide an opportunity for stakeholders to partner together to leverage these technologies to develop this unified, freely accessible, national solution. Whether locoregionally, nationally, or internationally, only collaborative efforts can fully realize the potential of technological advancements in molecular pathology and oncology therapeutics for all cancer patients.
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Affiliation(s)
- Yaolin Zhou
- Department of Pathology and Laboratory Medicine at ECU Health and the Brody School of Medicine, East Carolina University, Greenville, North Carolina.
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25
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Uguen M, Hilton M, Farid-Kapadia M, Datye A, Chohan S, Carlucci C, Dixon M, Elze M, Chen Y, Cheung KWK, Sane R, Zheng M, Choi Y. Advancing drug development in pediatric oncology, a focus on cancer biology and targeted therapies: iMATRIX platform. J Biopharm Stat 2023; 33:800-811. [PMID: 36637189 DOI: 10.1080/10543406.2022.2162071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 12/09/2022] [Indexed: 01/14/2023]
Abstract
With the development of novel treatment therapies as well as evolving and innovative approaches to conduct clinical trials, the landscape of pediatric oncology drug development has dramatically changed in recent years. Despite this change, approvals for new drugs and labeling updates to ensure availability of proper treatment for pediatric patients with cancer remain slow. The context of drug development in pediatric tumors has also changed with regulatory initiatives in the US and Europe, creating a great need for faster development of novel drugs. Today, conventional study designs have been replaced or complemented by novel clinical trial designs, such as master protocols and platform trials, to optimize cancer drug development and enable faster regulatory approval. The iMATRIX platform is a mechanism-of-action (MOA)-based phase 1/2 trial framework for concurrently studying multiple molecules across a range of relevant pediatric tumor types, taking into account the biology of each pediatric tumor type. Six studies have been conducted, ongoing, or planned on the iMATRIX platform - investigating atezolizumab, cobimetinib, entrectinib, idasanutlin, alectinib, and glofitamab. A brief overview of study designs and characteristics are shared in this article, along with learnings from them.
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Affiliation(s)
- Marianne Uguen
- Data and Statistical Sciences, F. Hoffmann-La Roche, Ltd, Basel, Switzerland
| | - Magalie Hilton
- Data and Statistical Sciences, F. Hoffmann-La Roche, Ltd, Basel, Switzerland
| | | | - Asim Datye
- Data and Statistical Sciences, F. Hoffmann-La Roche, Ltd, Mississauga, Canada
| | - Saibah Chohan
- Data and Statistical Sciences, F. Hoffmann-La Roche, Ltd, Mississauga, Canada
| | - Claudia Carlucci
- Data and Statistical Sciences, Roche Products Limited, Welwyn Garden City, UK
| | - Mark Dixon
- Data and Statistical Sciences, Roche Products Limited, Welwyn Garden City, UK
| | - Markus Elze
- Data and Statistical Sciences, F. Hoffmann-La Roche, Ltd, Basel, Switzerland
| | - Yingjia Chen
- Product Development Safety, Genentech Inc, South San Francisco, United States
| | | | - Rucha Sane
- Clinical Pharmacology, Genentech Inc, South San Francisco, United States
| | - Maoxia Zheng
- Data and Statistical Sciences, Genentech Inc, South San Francisco, CA, USA
| | - YounJeong Choi
- Data and Statistical Sciences, Genentech Inc, South San Francisco, CA, USA
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26
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Mahmood U. Molecular Imaging, Oncology, and the Arc toward Our Precision Future. Radiology 2023; 309:e231930. [PMID: 37987660 PMCID: PMC10698498 DOI: 10.1148/radiol.231930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/25/2023] [Accepted: 08/28/2023] [Indexed: 11/22/2023]
Affiliation(s)
- Umar Mahmood
- From the Department of Radiology, Massachusetts General Hospital, 55
Fruit St, Boston, MA 02114
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27
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Won J, Chung TK, Lee J, Yoon S, Jeon Y, Lee H. Trends in medical care utilization in patients with cancer: An analysis of real-world data in a tertiary hospital in Korea, 2014-2019. Cancer Med 2023; 12:21022-21031. [PMID: 37902239 PMCID: PMC10709731 DOI: 10.1002/cam4.6660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/21/2023] [Accepted: 10/07/2023] [Indexed: 10/31/2023] Open
Abstract
BACKGROUND Rising costs of cancer treatments challenge even areas with universal health coverage. There's a need to assess current medical care utilization trends among patients with cancer to guide public health policy, resource allocation, and set informed healthcare goals. METHODS We analyzed the latest trends in medical care utilization by cancer patients in four areas-drugs, radiation therapy (RT), surgery, and diagnostic procedures-using clinical databases extracted from electronic medical records of a tertiary hospital in Korea between 2014 and 2019. Compound adjusted growth rates (CAGR) were computed to capture the annual growth over the study period. RESULTS A total of 74,285 cancer patients were identified, with 40.3% (29,962), 14.2% (10,577), 31.1% (23,066), and 92.6% (68,849) of patients having received at least one anticancer agent, RT, surgery, and diagnostic procedure, respectively, over the period. We observed a 1.7-fold increase in the use of targeted · immune-oncology agents (from 6.8% to 11.6%) and a 21-fold increase (from 3.0% in 2014 to 65.7%) in intensity-modulated RT (IMRT) use over the period. In contrast, we observed a continuous decrease in the proportion of patients who underwent surgical treatment from 12.2% in 2014 to 10.9% in 2019. This decrease was particularly noticeable in patients with colon cancer (from 28.5% to 24.2%) and liver cancer (from 4.1% to 2.9%). CONCLUSION From 2014 to 2019, there was a significant rise in the use of targeted · immune-oncology agents and IMRT, alongside a decline in surgeries. While targeted · immune-oncology agents and IMRT may offer promising outcomes, their financial impact and potential for overuse necessitate careful oversight and long-term cost-effectiveness studies.
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Affiliation(s)
- Jung‐Hyun Won
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and TechnologySeoul National UniversitySeoulKorea
- Center for Convergence Approaches in Drug Development, Graduate School of Convergence Science and TechnologySeoul National UniversitySeoulKorea
| | - Tae Kyu Chung
- Center for Convergence Approaches in Drug Development, Graduate School of Convergence Science and TechnologySeoul National UniversitySeoulKorea
- Department of Applied Bioengineering, Graduate School of Convergence Science and TechnologySeoul National UniversitySeoulSouth Korea
| | | | | | - Yoomin Jeon
- Center for Convergence Approaches in Drug Development, Graduate School of Convergence Science and TechnologySeoul National UniversitySeoulKorea
- Department of Applied Bioengineering, Graduate School of Convergence Science and TechnologySeoul National UniversitySeoulSouth Korea
| | - Howard Lee
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and TechnologySeoul National UniversitySeoulKorea
- Center for Convergence Approaches in Drug Development, Graduate School of Convergence Science and TechnologySeoul National UniversitySeoulKorea
- Department of Clinical Pharmacology and TherapeuticsSeoul National University College of MedicineSeoulKorea
- Advanced Institute of Convergence TechnologySuwonKorea
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28
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Labdi BA, Elbeshbeshy RA, Winkler M, Johnson SG, Attridge RL. Rituximab reference vs biosimilar utilization for oncology vs nononcology indications. Am J Manag Care 2023; 29:e353-e356. [PMID: 37948656 DOI: 10.37765/ajmc.2023.89461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
OBJECTIVES Limited data exist on the adoption of rituximab biosimilars vs the reference product by indication. Available data from real-world studies comparing rituximab biosimilar and reference use have focused predominantly on oncology indications. This is the first study to assess the utilization of the 3 US rituximab biosimilars vs the reference product. STUDY DESIGN Comparative analysis. METHODS Deidentified real-world data of rituximab, rituximab-abbs, rituximab-pvvr, and rituximab-arrx dispensations between December 31, 2018, and February 1, 2022, were extracted using Trisus Medication Compare (The Craneware Group). The primary outcome was rituximab reference vs biosimilar utilization for oncology vs nononcology indications. Results were stratified by on-label and off-label use and treatment settings. RESULTS A total of 28,025 encounters were captured for rituximab and its biosimilars across 193 facilities (rituximab: n = 23,395; biosimilars, n = 4631 [rituximab-abbs: n = 2550; rituximab-pvvr, n = 2081; rituximab-arrx: n = 0]). Rituximab reference had higher dispensations for oncology (78.4%) and nononcology (88.3%) indications than its biosimilars (21.6% and 11.7%, respectively; P < .01). The 3-year annual trends from 2019 to 2021 revealed decreased rituximab reference utilization (99.99% to 40.1%) and increased biosimilar use (0.01% to 59.9%). Most oncology dispensations were on label (94.5%), whereas most nononcology dispensations were off label (73.6%; P < .01). A higher proportion of biosimilar use was attributed to on-label indications (67.7%; off-label, 32.2%) compared with rituximab reference (58.0% vs42.0%, respectively; P < .01). Nonacademic settings showed higher biosimilar adoption than academic settings (22.2% vs 10.3%, respectively; P < .01). CONCLUSIONS Real-world evidence shows an increase in rituximab biosimilar adoption over time, with higher adoption for oncology vs nononcology indications and in nonacademic settings.
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Affiliation(s)
- Bonnie A Labdi
- MJH Life Sciences, 2 Clarke Dr, Ste 100, Cranbury, NJ 08512.
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29
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Le Tourneau C, André F, Helland Å, Mileshkin L, Minnaard W, Schiel A, Taskén K, Thomas DM, Veronese ML, Durán-Pacheco G, Leyens L, Rufibach K, Thomas M, Krämer A. Modified study designs to expand treatment options in personalised oncology: a multistakeholder view. Eur J Cancer 2023; 194:113278. [PMID: 37820553 DOI: 10.1016/j.ejca.2023.113278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/31/2023] [Accepted: 08/01/2023] [Indexed: 10/13/2023]
Abstract
Personalised oncology, whereby patients are given therapies based on their molecular tumour profile, is rapidly becoming an essential part of optimal clinical care, at least partly facilitated by recent advances in next-generation sequencing-based technology using liquid- and tissue-based biopsies. Consequently, clinical trials have shifted in approach, from traditional studies evaluating cytotoxic chemotherapy in largely histology-based populations to modified, biomarker-driven studies (e.g. basket, umbrella, platform) of molecularly guided therapies and cancer immunotherapies in selected patient subsets. Such modified study designs may assess, within the same trial structure, multiple cancer types and treatments, and should incorporate a multistakeholder perspective. This is key to generating complementary, fit-for-purpose and timely evidence for molecularly guided therapies that can be used as proof-of-concept to inform further study designs, lead to approval by regulatory authorities and be used as confirmation of clinical benefit for health technology assessment bodies. In general, the future of cancer clinical trials requires a framework for the application of innovative technologies and dynamic design methodologies, in order to efficiently transform scientific discoveries into clinical utility. Next-generation, modified studies that involve the joint efforts of all key stakeholders will offer individualised strategies that ultimately contribute to globalised knowledge and collective learning. In this review, we outline the background and purpose of such modified study designs and detail key aspects from a multistakeholder perspective. We also provide methodological considerations for designing the studies and highlight how insights from already-ongoing studies may address current challenges and opportunities in the era of personalised oncology.
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Affiliation(s)
- Christophe Le Tourneau
- Department of Drug Development and Innovation (D3i), Institut Curie, INSERM U900 Research Unit, Paris-Saclay University, Paris, France
| | | | - Åslaug Helland
- Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Linda Mileshkin
- Peter MacCallum Cancer Centre and Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia
| | | | | | - Kjetil Taskén
- Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - David M Thomas
- Garvan Institute of Medical Research, Darlinghurst, Australia
| | | | | | - Lada Leyens
- F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | | | | | - Alwin Krämer
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ) and Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.
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30
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Zhao C, Xu T, Yao Y, Song Q, Xu B. Comparison of case-based learning using Watson for oncology and traditional method in teaching undergraduate medical students. Int J Med Inform 2023; 177:105117. [PMID: 37301132 DOI: 10.1016/j.ijmedinf.2023.105117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/16/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Watson for Oncology (WFO) is a decision-making system generated by artificial intelligence (AI) and has been widely used in treatment recommendations of cancer patients. However, the application of WFO in clinical teaching among medical students has not been reported. OBJECTIVE To establish a novel teaching and learning method with WFO in undergraduate medical students and evaluate its efficiency and students' satisfaction compared with traditional case-based learning model. METHODS 72 undergraduates majoring in clinical medicine in Wuhan University were enrolled and were randomly divided into the WFO-based group and the control group. 36 students in the WFO-based group learned clinical oncology cases via WFO platform while 36 students in the control group using traditional teaching methods. After the course, final examination and questionnaire survey of teaching assessment were conducted on the two groups of students. RESULTS According to the questionnaire survey of teaching assessment, WFO-based group showed significant higher score in the aspect of cultivating ability of independent learning (17.67 ± 1.39 vs. 15.17 ± 2.02, P = 0.018), increasing knowledge mastery (17.75 ± 1.10 vs. 16.25 ± 1.18, P = 0.001), enhancing learning interest (18.41 ± 1.42 vs. 17.00 ± 1.37, P = 0.002), increasing course participation (18.33 ± 1.67 vs. 15.75 ± 1.67, P = 0.001) and the overall course satisfaction (89.25 ± 5.92 vs. 80.75 ± 3.42, P = 0.001) than those of the control group students. CONCLUSION Our practice has established a novel clinical case-based teaching pattern with WFO, providing undergraduate students with convenient and scientific training and guidance. It empowers students with improved learning experiences and equips them with essential tools for clinical practices.
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Affiliation(s)
- Chen Zhao
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China.
| | - Tangpeng Xu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China
| | - Yi Yao
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China
| | - Qibin Song
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China
| | - Bin Xu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China.
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31
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Kazdal D, Menzel M, Budczies J, Stenzinger A. [Molecular tumor diagnostics as the driving force behind precision oncology]. Dtsch Med Wochenschr 2023; 148:1157-1165. [PMID: 37657453 DOI: 10.1055/a-1937-0347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/03/2023]
Abstract
Molecular pathological diagnostics plays a central role in personalized oncology and requires multidisciplinary teamwork. It is just as relevant for the individual patient who is being treated with an approved therapy method or an individual treatment attempt as it is for prospective clinical studies that require the identification of specific therapeutic target structures or complex biomarkers for study inclusion. It is also of crucial importance for the generation of real-world data, which is becoming increasingly important for drug development. Future developments will be significantly shaped by improvements in scalable molecular diagnostics, in which increasingly complex and multi-layered data sets must be quickly converted into clinically useful information. One focus will be on the development of adaptive diagnostic strategies in order to be able to depict the enormous plasticity of a cancer disease over time.
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32
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Valle-Simón P, Borobia AM, Pérez-Martínez A. Clinical research with targeted drugs in paediatric oncology. Drug Discov Today 2023; 28:103672. [PMID: 37330039 DOI: 10.1016/j.drudis.2023.103672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 05/31/2023] [Accepted: 06/12/2023] [Indexed: 06/19/2023]
Abstract
The development of targeted drugs in paediatric oncology has been notoriously slow, in part due to the peculiarities of this rare and highly heterogeneous population. To provide therapeutic breakthroughs for the highest risk subgroups of childhood cancer, innovative research solutions have been implemented in the last several years by different international collaborative groups and regulators. Here, we discuss and summarise some of these approaches, as well as challenges and unmet needs that are still being addressed. A wide range of topics were covered in this review including molecular diagnosis optimisation, innovative research methodologies, big data approaches, trial enrolment strategies, and improvements in regulation and preclinical research platforms.
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Affiliation(s)
- Paula Valle-Simón
- Clinical Pharmacology Department, La Paz University Hospital, Idipaz, Paseo de la Castellana 261, 28046 Madrid, Spain.
| | - Alberto M Borobia
- Clinical Pharmacology Department, La Paz University Hospital, School of Medicine, Universidad Autónoma de Madrid (UAM) IdiPAZ, Paseo de la Castellana 261, 28046 Madrid, Spain
| | - Antonio Pérez-Martínez
- Paediatric Haemato-Oncology Department, La Paz University Hospital, School of Medicine, Universidad Autónoma de Madrid (UAM), IdiPAZ, Paseo de la Castellana 261, 28046 Madrid, Spain
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33
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Baldo P, De Re V, Garutti M. How will the identification and therapeutic intervention of genetic targets in oncology evolve for future therapy? Expert Opin Ther Targets 2023; 27:1189-1194. [PMID: 38095918 DOI: 10.1080/14728222.2023.2295493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 12/12/2023] [Indexed: 12/21/2023]
Abstract
INTRODUCTION Mapping of the human genome, together with the broad understanding of new biomolecular pathways involved in cancer development, represents a huge dividing line for advances in cancer treatment. This special article aims to express the next evolution of cancer therapy, while also considering the challenges and uncertainties facing future directions. AREA COVERED The recent achievements of medical science in the oncology field concern both new diagnostic techniques, such as liquid biopsy, and therapeutic strategies with innovative anticancer drugs. Although several molecular characteristics of tumors are linked to the tissue of origin, some mutations are shared by multiple tumor histologies, thus paving the way for what is called 'precision oncology.' The article highlights the importance of identifying new mutations and biomolecular pathways that can be pursued with new anticancer drugs. EXPERT OPINION Oncology and medical science have made great progress in understanding new molecular targets; being able to early identify tumor markers that are not confined to a single organ through minimally invasive diagnostic techniques allows us to design new effective therapeutic strategies. Multidisciplinary teams now aim to evaluate the most appropriate and personalized diagnostic/therapeutic approach for the individual patient.
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Affiliation(s)
- Paolo Baldo
- Hospital Pharmacy Unit, Centro di Riferimento Oncologico di Aviano, CRO Aviano, National Cancer Institute, IRCCS, Aviano, Italy
| | - Valli De Re
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano, CRO Aviano, National Cancer Institute, IRCCS, Aviano, Italy
| | - Mattia Garutti
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano, CRO Aviano, National Cancer Institute, IRCCS, Aviano, Italy
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34
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Sutera P, Skinner H, Witek M, Mishra M, Kwok Y, Davicioni E, Feng F, Song D, Nichols E, Tran PT, Bergom C. Histology Specific Molecular Biomarkers: Ushering in a New Era of Precision Radiation Oncology. Semin Radiat Oncol 2023; 33:232-242. [PMID: 37331778 PMCID: PMC10446901 DOI: 10.1016/j.semradonc.2023.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Histopathology and clinical staging have historically formed the backbone for allocation of treatment decisions in oncology. Although this has provided an extremely practical and fruitful approach for decades, it has long been evident that these data alone do not adequately capture the heterogeneity and breadth of disease trajectories experienced by patients. As efficient and affordable DNA and RNA sequencing have become available, the ability to provide precision therapy has become within grasp. This has been realized with systemic oncologic therapy, as targeted therapies have demonstrated immense promise for subsets of patients with oncogene-driver mutations. Further, several studies have evaluated predictive biomarkers for response to systemic therapy within a variety of malignancies. Within radiation oncology, the use of genomics/transcriptomics to guide the use, dose, and fractionation of radiation therapy is rapidly evolving but still in its infancy. The genomic adjusted radiation dose/radiation sensitivity index is one such early and exciting effort to provide genomically guided radiation dosing with a pan-cancer approach. In addition to this broad method, a histology specific approach to precision radiation therapy is also underway. Herein we review select literature surrounding the use of histology specific, molecular biomarkers to allow for precision radiotherapy with the greatest emphasis on commercially available and prospectively validated biomarkers.
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Affiliation(s)
- Philip Sutera
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Heath Skinner
- Department of Radiation Oncology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Matthew Witek
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mark Mishra
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Young Kwok
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - Felix Feng
- Departments of Radiation Oncology, Medicine and Urology, UCSF, San Francisco, CA, USA
| | - Daniel Song
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elizabeth Nichols
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Phuoc T. Tran
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Carmen Bergom
- Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA
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Reis-Filho JS, Kather JN. Overcoming the challenges to implementation of artificial intelligence in pathology. J Natl Cancer Inst 2023; 115:608-612. [PMID: 36929936 PMCID: PMC10248832 DOI: 10.1093/jnci/djad048] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 03/02/2023] [Accepted: 03/11/2023] [Indexed: 03/18/2023] Open
Abstract
Pathologists worldwide are facing remarkable challenges with increasing workloads and lack of time to provide consistently high-quality patient care. The application of artificial intelligence (AI) to digital whole-slide images has the potential of democratizing the access to expert pathology and affordable biomarkers by supporting pathologists in the provision of timely and accurate diagnosis as well as supporting oncologists by directly extracting prognostic and predictive biomarkers from tissue slides. The long-awaited adoption of AI in pathology, however, has not materialized, and the transformation of pathology is happening at a much slower pace than that observed in other fields (eg, radiology). Here, we provide a critical summary of the developments in digital and computational pathology in the last 10 years, outline key hurdles and ways to overcome them, and provide a perspective for AI-supported precision oncology in the future.
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Affiliation(s)
- Jorge S Reis-Filho
- Experimental Pathology, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jakob Nikolas Kather
- Department of Medicine I, University Hospital and Faculty of Medicine, Technical University Dresden, Dresden, Germany
- Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany
- Pathology and Data Analytics, Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
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Mundi PS, Dela Cruz FS, Grunn A, Diolaiti D, Mauguen A, Rainey AR, Guillan K, Siddiquee A, You D, Realubit R, Karan C, Ortiz MV, Douglass EF, Accordino M, Mistretta S, Brogan F, Bruce JN, Caescu CI, Carvajal RD, Crew KD, Decastro G, Heaney M, Henick BS, Hershman DL, Hou JY, Iwamoto FM, Jurcic JG, Kiran RP, Kluger MD, Kreisl T, Lamanna N, Lassman AB, Lim EA, Manji GA, McKhann GM, McKiernan JM, Neugut AI, Olive KP, Rosenblat T, Schwartz GK, Shu CA, Sisti MB, Tergas A, Vattakalam RM, Welch M, Wenske S, Wright JD, Hibshoosh H, Kalinsky K, Aburi M, Sims PA, Alvarez MJ, Kung AL, Califano A. A Transcriptome-Based Precision Oncology Platform for Patient-Therapy Alignment in a Diverse Set of Treatment-Resistant Malignancies. Cancer Discov 2023; 13:1386-1407. [PMID: 37061969 PMCID: PMC10239356 DOI: 10.1158/2159-8290.cd-22-1020] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 01/14/2023] [Accepted: 03/14/2023] [Indexed: 04/17/2023]
Abstract
Predicting in vivo response to antineoplastics remains an elusive challenge. We performed a first-of-kind evaluation of two transcriptome-based precision cancer medicine methodologies to predict tumor sensitivity to a comprehensive repertoire of clinically relevant oncology drugs, whose mechanism of action we experimentally assessed in cognate cell lines. We enrolled patients with histologically distinct, poor-prognosis malignancies who had progressed on multiple therapies, and developed low-passage, patient-derived xenograft models that were used to validate 35 patient-specific drug predictions. Both OncoTarget, which identifies high-affinity inhibitors of individual master regulator (MR) proteins, and OncoTreat, which identifies drugs that invert the transcriptional activity of hyperconnected MR modules, produced highly significant 30-day disease control rates (68% and 91%, respectively). Moreover, of 18 OncoTreat-predicted drugs, 15 induced the predicted MR-module activity inversion in vivo. Predicted drugs significantly outperformed antineoplastic drugs selected as unpredicted controls, suggesting these methods may substantively complement existing precision cancer medicine approaches, as also illustrated by a case study. SIGNIFICANCE Complementary precision cancer medicine paradigms are needed to broaden the clinical benefit realized through genetic profiling and immunotherapy. In this first-in-class application, we introduce two transcriptome-based tumor-agnostic systems biology tools to predict drug response in vivo. OncoTarget and OncoTreat are scalable for the design of basket and umbrella clinical trials. This article is highlighted in the In This Issue feature, p. 1275.
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Affiliation(s)
- Prabhjot S. Mundi
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Filemon S. Dela Cruz
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Adina Grunn
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Daniel Diolaiti
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Audrey Mauguen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Allison R. Rainey
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Kristina Guillan
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Armaan Siddiquee
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Daoqi You
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Ronald Realubit
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Charles Karan
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Michael V. Ortiz
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Eugene F. Douglass
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Melissa Accordino
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Suzanne Mistretta
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Frances Brogan
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Jeffrey N. Bruce
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Neurological Surgery, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
| | - Cristina I. Caescu
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Richard D. Carvajal
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Katherine D Crew
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Guarionex Decastro
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Urology, Columbia University Irving Medical Center, 160 Fort Washington Ave, New York, NY USA 10032
| | - Mark Heaney
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Brian S Henick
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Dawn L Hershman
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th St. NY, NY 10032
| | - June Y. Hou
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
| | - Fabio M. Iwamoto
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Neurology, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
| | - Joseph G. Jurcic
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Ravi P. Kiran
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Surgery, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
| | - Michael D Kluger
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Surgery, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
| | - Teri Kreisl
- Novartis Five Cambridge, MA 02142, United States
| | - Nicole Lamanna
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Andrew B. Lassman
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Neurology, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
| | - Emerson A. Lim
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Gulam A. Manji
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Guy M McKhann
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Neurological Surgery, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
| | - James M. McKiernan
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Urology, Columbia University Irving Medical Center, 160 Fort Washington Ave, New York, NY USA 10032
| | - Alfred I Neugut
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th St. NY, NY 10032
| | - Kenneth P. Olive
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Todd Rosenblat
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Gary K. Schwartz
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Catherine A Shu
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Michael B. Sisti
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Neurological Surgery, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
- Department of Otolaryngology Head and Neck Surgery, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
- Department of Radiation Oncology, Columbia University Irving Medical Center, 161 Fort Washington Avenue, New York, NY 10032, United States
| | - Ana Tergas
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
| | - Reena M Vattakalam
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
| | - Mary Welch
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Neurology, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
| | - Sven Wenske
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Urology, Columbia University Irving Medical Center, 160 Fort Washington Ave, New York, NY USA 10032
| | - Jason D. Wright
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
| | - Hanina Hibshoosh
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Kevin Kalinsky
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Winship Cancer Institute of Emory University and Department of Hematology and Medical Oncology, Emory University School of Medicine, 1365-C Clifton Road NE, Atlanta, GA 30322, United States
| | - Mahalaxmi Aburi
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Peter A. Sims
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Biochemistry & Molecular Biophysics, Columbia University Irving Medical Center, 701 W 168th Street, New York, NY USA 10032
| | - Mariano J. Alvarez
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- DarwinHealth Inc. New York
| | - Andrew L. Kung
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Andrea Califano
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
- Department of Biochemistry & Molecular Biophysics, Columbia University Irving Medical Center, 701 W 168th Street, New York, NY USA 10032
- Department of Biomedical Informatics, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
- J.P. Sulzberger Columbia Genome Center, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
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Gholami S, Abidalhassan M, Cho M, Saeed A, Rocha FG. Current Progress and Advances in Gastrointestinal Cancers: Highlights from the 2022 Annual American Society of Clinical Oncology (ASCO) Gastrointestinal Meeting. J Gastrointest Cancer 2023; 54:672-676. [PMID: 35856132 DOI: 10.1007/s12029-022-00849-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2022] [Indexed: 10/17/2022]
Abstract
PURPOSE To provide an overview of the key findings from studies in upper gastrointestinal, hepatobiliary, pancreas, and colorectal malignancies presented at ASCO GI 2022. METHODS We reviewed the abstracts presented at ASCO GI 2022. The studies highlighted were selected by the authors based on their significant discoveries and potential impact on clinical practice. RESULTS AND CONCLUSION This year's hybrid ASCO-GI symposium (2022) introduced many promising new treatment strategies in GI oncology, with several changes in clinical practice for patients with advanced hepatocellular carcinoma (HCC), cholangiocarcinoma, and metastatic colorectal cancer (CRC).
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Affiliation(s)
- Sepideh Gholami
- Division of Surgical Oncology, Department of Surgery, University of California Davis, 2279 45th Street, Sacramento, CA, 95817, USA.
| | - Mustafa Abidalhassan
- Division of Surgical Oncology, Department of Surgery, University of California Davis, 2279 45th Street, Sacramento, CA, 95817, USA
| | - May Cho
- Division of Medical Oncology, Department of Medicine, University of California Irvine, Irvine, CA, USA
| | - Anwaar Saeed
- Division of Medical Oncology, Department of Medicine, University of Kansas, Kansas City, KS, USA
| | - Flavio G Rocha
- Division of Surgical Oncology, Department of Surgery, Oregon Health Sciences University, Portland, OR, USA
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Lafaras C, Kalafatis I, Lafara K, Koukoulitsa V, Mandala E. A comprehensive diagnostic approach to cardiac events in cancer patients receiving antineoplastic therapy: A systematic review. Hell J Nucl Med 2023; 26 Suppl:5-11. [PMID: 37658551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 09/03/2023]
Abstract
Oncologic patients are vulnerable to a broad spectrum of cancer related cardiovascular complications during and/or after antineoplastic treatment. This article is dealing with the main drugs used in real world clinical practice, including conventional chemotherapy, targeted therapy, immunotherapy, radiotherapy and their potential cardiovascular toxicity. Diagnosis of cancer- related cardiovascular events requires thorough clinical evaluation, multimodality imaging techniques and cardiac biomarkers according to established guidelines of cardio-oncology. Multidisciplinary approach and individualized strategies are essential and crucial in confronting oncologic patients.
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Affiliation(s)
- C Lafaras
- Cardiology Unit, Theagenio Cancer Hospital, Thessaloniki, Greece.
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39
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Taam B, Lim F. Best Practices in Pediatric Oncology Pain Management. Am J Nurs 2023; 123:52-58. [PMID: 37077020 DOI: 10.1097/01.naj.0000933948.84251.f3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
ABSTRACT Pediatric oncology patients are vulnerable to pain that may be caused by the disease or its treatment, and this symptom can be challenging to manage. This article focuses on the importance of pain control, pain assessment and treatment, and special considerations in pediatric oncology pain management, including preparing children for painful procedures and the family's role in managing pain.
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Affiliation(s)
- Brittany Taam
- Brittany Taam is a pediatric hematology/oncology clinical nurse at Stanford Medicine Children's Health in Palo Alto, CA. At the time of this writing, she was a pediatric clinical nurse at Memorial Sloan Kettering Cancer Center in New York City. Fidelindo Lim is a clinical associate professor at New York University's Rory Meyers College of Nursing in New York City. Contact author: Brittany Taam, . The authors have disclosed no potential conflicts of interest, financial or otherwise
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40
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Polk JB, Campbell J, Drilon AE, Keating P, Cambrosio A. Organizing precision medicine: A case study of Memorial Sloan Kettering Cancer Center's engagement in/with genomics. Soc Sci Med 2023; 324:115789. [PMID: 36996726 PMCID: PMC10961966 DOI: 10.1016/j.socscimed.2023.115789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 01/03/2023] [Accepted: 02/16/2023] [Indexed: 02/21/2023]
Abstract
Recent decades have seen a dramatic rise of in the number of initiatives designed to promote precision oncology, a domain that has played a pioneering role in the implementation of post-genomic approaches and technologies such as innovative clinical trial designs and molecular profiling. In this paper, based on fieldwork carried out at the Memorial Sloan-Kettering Cancer Center from 2019 onwards, we analyze how a world-leading cancer center has adapted, responded, and contributed to the challenge of "doing" precision oncology by developing new programs and services, and building an infrastructure that has created the conditions for genomic practices. We do so by attending to the "organizing" side of precision oncology and to the nexus between these activities and epistemic issues. We situate the work that goes into making results actionable and accessing targeted drugs within the larger process of creating a precision medicine ecosystem that includes purpose-built institutional settings, thus simultaneously experimenting with bioclinical matters and, reflexively, with organizing practices. The constitution and articulation of innovative sociotechnical arrangements at MSK provides a unique case study of the production of a large and complex clinical research ecosystem designed to implement rapidly evolving therapeutic strategies embedded in a renewed and dynamic understanding of cancer biology.
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Affiliation(s)
- Jess B Polk
- Department of Social Studies of Medicine, McGill University, Montreal, Canada.
| | - Jonah Campbell
- Department of Social Studies of Medicine, McGill University, Montreal, Canada
| | | | - Peter Keating
- Department of History, Université du Québec à Montréal, Montreal, Canada
| | - Alberto Cambrosio
- Department of Social Studies of Medicine, McGill University, Montreal, Canada
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41
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LoRusso SM, Parry SL, Yahner TP, Wonders KY. Patient Comments on a Hospital- and University-Based Exercise Oncology Program. J Cancer Educ 2023; 38:639-645. [PMID: 35438414 DOI: 10.1007/s13187-022-02168-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/09/2022] [Indexed: 05/20/2023]
Abstract
The purpose of this study was to identify referral source and patient-reported factors that promoted follow-through and participation in exercise oncology rehabilitation programs. A three question open-ended survey was administered to patients enrolled in trainer-supervised, hospital-based (n = 101), or university-based (n = 17) cancer rehabilitation program that provided 12 weeks of individualized one on one aerobic and resistance training 1-3 days per week. Significant themes for each question were as follows: Question #1. Who referred you to the program/facility? Oncology team (Χ2 = 145.814 P ≤ 0.001); Question #2. What convinced you to follow through with the referral? Health, fatigue, and need for supervision (Χ2 = 74.814 P ≤ 0.001); and Question #3. What motivates you to continue in the program? Personal results, getting healthy, and the trainer (Χ2 = 108.729 P ≤ 0.001). In this study, oncology team referral confirms previous work. Patient follow-through and continuation appear largely self-motivated as patients' health and the attainment of health through personal results are primary motivators for continuation in the program. Question #3 responses note the importance of the trainer in maintaining continuation in an exercise oncology rehabilitation program.
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Affiliation(s)
- Stephen M LoRusso
- Department of Physical Therapy, Saint Francis University, Loretto, PA, USA.
- Program in Exercise Physiology, Saint Francis University, Loretto, PA, USA.
- Cancer Care Program, Saint Francis University, Loretto, PA, 15940, USA.
| | - Shaelyn L Parry
- Program in Exercise Physiology, Saint Francis University, Loretto, PA, USA
| | - Travis P Yahner
- Cancer Care Program, Saint Francis University, Loretto, PA, 15940, USA
| | - Karen Y Wonders
- Exercise Science Program, Wright State University, Dayton, OH, USA
- Maple Tree Cancer Alliance, Dayton, OH, USA
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Liang F, Peng L, Wu Z, Giamas G, Stebbing J. Design and reporting of phase III oncology trials with prospective biomarker validation. J Natl Cancer Inst 2023; 115:174-180. [PMID: 36448689 PMCID: PMC9905966 DOI: 10.1093/jnci/djac210] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 09/14/2022] [Accepted: 10/11/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Phase III trials with prospective biomarker validation are essential to drug development in the era of personalized oncology. However, concerns have emerged regarding the design and reporting of phase III trials with prospective biomarker validation. METHODS We searched MEDLINE for phase III oncology trials with prospective biomarker validation published in high-impact medical journals from 2011 to 2020. Information regarding trial design and reporting were extracted. Descriptive methods were used to summarize the results. RESULTS We identified 45 phase III trials with prospective biomarker validation. There was a trend for increasing use of biomarker validation phase III trials (from 1 trial in 2011 to 12 trials in 2020). For 39 (86.7%) trials, results in biomarker-negative population were either listed as an exploratory subgroup analysis (62.2%) or not mentioned in the methods (24.4%). Twenty-one (46.7%) trials were originally designed without biomarker validation but were then apparently modified to incorporate prospective biomarker validation after trial commencement, albeit only 15 (33.3%) trials reported this change. Treatment effect and primary outcome values in biomarker-negative patients were not reported in 24.4% and 40.0% trials, respectively. For 18 trials with statistically significant results in the overall population, only 7 trials reported a hazard ratio less than 0.8 in the biomarker-negative population. CONCLUSIONS Although biomarker validation in phase III trials have been increasingly used in the past decade, issues regarding changes in trial design after commencement without disclosure, underreporting of results in biomarker-negative groups, and recommending treatment in biomarker negative groups despite modest effects require substantial improvement.
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Affiliation(s)
- Fei Liang
- Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China
- Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ling Peng
- Department of Respiratory Disease, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Zhengyu Wu
- Department of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety and Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
| | - Georgios Giamas
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, Brighton, UK
| | - Justin Stebbing
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London, UK
- Department of Biomedical Sciences, Anglia Ruskin University, Cambridge, UK
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Patel TA, Jain B, Parikh RB. The Enhancing Oncology Model: Leveraging improvement science to increase health equity in value-based care. J Natl Cancer Inst 2023; 115:125-130. [PMID: 36245086 PMCID: PMC9905958 DOI: 10.1093/jnci/djac194] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 09/27/2022] [Accepted: 10/06/2022] [Indexed: 11/12/2022] Open
Abstract
The Oncology Care Model (OCM), launched in 2016 by the Centers for Medicare and Medicaid Services, was the first demonstration of value-based payment in oncology. Although the OCM delivered mixed results in terms of quality of care and total episode costs, the model had no statistically significant impact on remediating racial, ethnic, and socioeconomic disparities among beneficiaries. These deficits have been prominent in other aspects of US healthcare, and as a result, the Institute for Healthcare Improvement has advocated for stakeholders to leverage improvement science, an applied science that focuses on implementing rapid cycles for change, to identify and overcome barriers to health equity. With the announcement of the new Enhancing Oncology Model, a continuation of the OCM's efforts in introducing value to cancer care for episodes surrounding chemotherapy administration, both policymakers and providers must apply tenets of improvement science and make eliminating disparities in alternative payment models a forefront objective. In this commentary, we discuss previous inequities in alternative payment models, the role that improvement science plays in addressing health-care disparities, and steps that stakeholders can take to maximize equitable outcomes in the Enhancing Oncology Model.
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Affiliation(s)
- Tej A Patel
- Department of Health Care Management, University of Pennsylvania, Philadelphia, PA, USA
| | - Bhav Jain
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ravi B Parikh
- Perelman School of Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
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van Halteren HK, Bennouna J, Brasiuniene B, Tomas AJC, Trinidad AMG, Indini A, Liposits G, Pellegrino B, Popovic L, Tan A, Vidra R, Strijbos M. Twelve ESMO Congress 2022 breakthroughs: practicing oncologists' perceptions and potential application on presented data. ESMO Open 2023; 8:100773. [PMID: 36634532 PMCID: PMC9843205 DOI: 10.1016/j.esmoop.2022.100773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/05/2022] [Accepted: 12/09/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND During the European Society for Medical Oncology (ESMO) Congress 2022, outcome data of a great number of clinical trials were presented. For the attending medical oncologist, it is important to structure these data in a way that facilitates a trade-off between treatment burden and benefit. MATERIALS AND METHODS To illustrate this, we carried out a narrative non-systematic review of 12 selected oral presentations with potential impact on future daily practice, focusing on trial methodology, possible study flaws, reported clinical benefit and implementability. RESULTS The selected presentations encompassed 10 phase III trials, 1 randomized phase II trial and 1 phase II trial. In 7 out of 12 trials, quality of life and/or patient-reported outcomes had been evaluated. None of the trials, which reported progression-free survival (PFS) data, provided information, which could exclude informative censoring bias. In none of the trials reporting overall survival (OS) data, potential flaws due to undesirable crossover and imbalance between study groups regarding post-progression treatments were addressed. For the 11 reviewed randomized trials, the ESMO-Magnitude of Clinical Benefit Scale (MCBS) grade achieved with the new intervention was calculated based on the presented data. The MCBS grade varied from 1 to 5. CONCLUSIONS Our review confirms the high-quality standard of current cancer research and the clinical relevance of the research questions answered. However, during presentation of PFS and/or OS data, factors known to affect PFS and OS analysis should be structurally addressed. In order to keep cancer care affordable and sustainable, it could be considered to include an ESMO-MCBS threshold in the drug appraisal process of regulatory authorities.
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Affiliation(s)
- H K van Halteren
- Department of Medical Oncology, Adrz Hospital, Goes, The Netherlands.
| | - J Bennouna
- Department of Medical Oncology, Hospital Foch, Suresnes, France
| | - B Brasiuniene
- Department of Medical Oncology, National Cancer Institute of Lithuania, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - A J Cunquero Tomas
- Department of Medical Oncology, General University Hospital of Valencia, Valencia, Spain; Medical Oncology Unit, General Hospital of Requena, Valencia, Spain
| | - A M Garcia Trinidad
- Section of Medical Oncology, Dagupan Doctors Villaflor Memorial Hospital, Dagupan City, The Philippines
| | - A Indini
- Unit of Medical Oncology, Department of Oncology, Ospedale di Circolo e Fondazione Macchi, ASST Settelaghi, Varese, Italy
| | - G Liposits
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - B Pellegrino
- Medical Oncology and Breast Unit, University Hospital of Parma, Parma; Department of Medical Oncology, University of Parma, Parma, Italy
| | - L Popovic
- Oncology Institute of Vojvodina, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
| | - A Tan
- Department of Medical Oncology, Waikato Hospital, Hamilton, New Zealand
| | - R Vidra
- Department of Medical Oncology, Regional Institute of Gastroenterology and Hepatology "Prof. Dr. Octavian Fodor", Cluj-Napoca, Romania; UBBMed, Babes-Bolyai University, Cluj-Napoca, Romania
| | - M Strijbos
- Department of Medical Oncology, GZA Hospitals, Wilrijk, Belgium
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O’Donohue T, Sait SF, Bender JG. Progress in precision therapy in pediatric oncology. Curr Opin Pediatr 2023; 35:41-47. [PMID: 36377257 PMCID: PMC9812924 DOI: 10.1097/mop.0000000000001198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE OF REVIEW The fields of precision medicine and cancer genomics in pediatric oncology are rapidly evolving. Novel diagnostic tools are critical in refining cancer diagnoses, stratifying patient risk, and informing treatment decisions. This review is timely and relevant as it discusses advantages and drawbacks of common molecular profiling techniques and highlights novel platforms, which may address select limitations. We discuss recent publications demonstrating utility of large-scale molecular profiling and feasibility and logistics of matching targeted therapies to patients. RECENT FINDINGS We describe the increased accessibility of next-generation sequencing, complementary profiling methods, and strategies to guide treatment decisions. We describe curation and sharing of large genomic datasets and novel mechanisms to obtain matched targeted therapies. Importantly, we discuss relevant publications in distinct disease domains that support indications for evidence-based precision therapy. Lastly, we introduce the incremental analyses that can be obtained via whole-genome and transcriptome sequencing. SUMMARY Here we highlight high-yield clinical scenarios of precision medicine approaches and identify the ongoing challenges including universally defining clinical actionability, optimizing trial design to account for molecular heterogeneity while acknowledging limitations in patient accrual, expanding access to molecularly targeted therapies, and validating new tools and technology to aid in precision medicine therapeutic approaches.
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Affiliation(s)
- Tara O’Donohue
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Sameer Farouk Sait
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Julia Glade Bender
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
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Schlemmer HP. [The cancer epidemic : Global significance of cancer and the situation in oncological imaging]. Radiologie (Heidelb) 2023; 63:49-56. [PMID: 36542107 DOI: 10.1007/s00117-022-01092-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/03/2022] [Indexed: 12/24/2022]
Abstract
A significant increase in the incidence of cancer is expected worldwide. In Europe, cancer will soon be the leading cause of death, ahead of cardiovascular disease. Concerted efforts at the scientific, medical, societal, and political levels are required to address this problem on a global scale. High-quality oncological imaging is of particular importance in this regard. Access to it has been shown to have a significant impact on quality of care and survival. Imaging is an essential component of screening and early detection. In clinical oncology, imaging is essential for multidisciplinary diagnostics and personalized therapy. Likewise, imaging is necessary in translational and clinical research. Imaging techniques are also themselves the subject of research and development and, associated with this, are also of great importance as an economic factor. This article aims to provide insights into the global problem of oncology and the contribution that oncological imaging can make to its management.
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Affiliation(s)
- Heinz-Peter Schlemmer
- Abteilung Radiologie, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland.
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Karres D, Lesa G, Ligas F, Benchetrit S, Galluzzo S, Van Malderen K, Sterba J, van Dartel M, Renard M, Sisovsky P, Wang S, Norga K. European regulatory strategy for supporting childhood cancer therapy developments. Eur J Cancer 2022; 177:25-29. [PMID: 36323049 DOI: 10.1016/j.ejca.2022.09.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/02/2022] [Accepted: 09/23/2022] [Indexed: 01/06/2023]
Abstract
INTRODUCTION Regulatory decisions on paediatric investigation plans (PIPs) aim at making effective and safe medicines timely available for children with high unmet medical need. At the same time, scientific knowledge progresses continuously leading frequently to the identification of new molecular targets in the therapeutic area of oncology. This, together with further efforts to optimise next generation medicines, results in novel innovative products in development pipelines. In the context of global regulatory development requirements for these growing pipelines of innovative products (e.g. US RACE for children Act), it is an increasing challenge to complete development efforts in paediatric oncology, a therapeutic area of rare and life-threatening diseases with high unmet needs. OBJECTIVE Regulators recognise feasibility challenges of the regulatory obligations in this context. Here, we explain the EU regulatory decision making strategy applied to paediatric oncology, which aims fostering evidence generation to support developments based on needs and robust science. Because there is a plethora of products under development within given classes of or within cancer types, priorities need to be identified and updated as evidence evolves. This also includes identifying the need for third or fourth generation products to secure focused and accelerated drug development. CONCLUSION An agreed PIP, as a plan, is a living document which can be modified in light of new evidence. For this to be successful, input from the various relevant stakeholders, i.e. patients/parents, clinicians and investigators is required. To efficiently obtain this input, the EMA is co-organising with ACCELERATE oncology stakeholder engagement platform meetings.
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Affiliation(s)
- Dominik Karres
- Paediatric Medicines Office, Scientific Evidence Generation Department, Human Medicines Division, European Medicines Agency (EMA), Amsterdam, Netherlands.
| | - Giovanni Lesa
- Paediatric Medicines Office, Scientific Evidence Generation Department, Human Medicines Division, European Medicines Agency (EMA), Amsterdam, Netherlands
| | - Franca Ligas
- Paediatric Medicines Office, Scientific Evidence Generation Department, Human Medicines Division, European Medicines Agency (EMA), Amsterdam, Netherlands
| | - Sylvie Benchetrit
- Agence Nationale de Sécurité Du Médicament et des Produits de Santé (ANSM), Paris, France; Paediatric Committee of the European Medicines Agency, Amsterdam, Netherlands
| | - Sara Galluzzo
- Italian Medicines Agency (AIFA), Rome, Italy; Scientific Advice Working Party and Paediatric Committee of the European Medicines Agency, Amsterdam, Netherlands
| | - Karen Van Malderen
- Federal Agency for Medicines and Health Products (FAMHP), Brussels, Belgium; Paediatric Committee of the European Medicines Agency, Amsterdam, Netherlands
| | - Jaroslav Sterba
- Department of Pediatric Oncology, University Hospital Brno, And Faculty of Medicine, Masaryk University, International Clinical Research Center, St Anne's University Hospital, Brno, Czech Republic; Paediatric Committee of the European Medicines Agency, Amsterdam, Netherlands
| | - Maaike van Dartel
- College Ter Beoordeling van Geneesmiddelen, Utrecht, Netherlands; Paediatric Committee of the European Medicines Agency, Amsterdam, Netherlands
| | - Marleen Renard
- University Hospitals Leuven, Leuven, Belgium; Federal Agency for Medicines and Health Products (FAMHP), Brussels, Belgium; Paediatric Committee of the European Medicines Agency, Amsterdam, Netherlands
| | - Peter Sisovsky
- State Institute for Drug Control, Bratislava, Slovakia; Paediatric Committee of the European Medicines Agency, Amsterdam, Netherlands
| | - Siri Wang
- Norwegian Medicines Agency, Oslo, Norway; Paediatric Committee of the European Medicines Agency, Amsterdam, Netherlands
| | - Koen Norga
- Antwerp University Hospital, Paediatric Committee of the European Medicines Agency, Federal Agency for Medicines and Health Products (FAMHP), Brussels, Belgium
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Dias-Santagata D, Heist RS, Bard AZ, da Silva AFL, Dagogo-Jack I, Nardi V, Ritterhouse LL, Spring LM, Jessop N, Farahani AA, Mino-Kenudson M, Allen J, Goyal L, Parikh A, Misdraji J, Shankar G, Jordan JT, Martinez-Lage M, Frosch M, Graubert T, Fathi AT, Hobbs GS, Hasserjian RP, Raje N, Abramson J, Schwartz JH, Sullivan RJ, Miller D, Hoang MP, Isakoff S, Ly A, Bouberhan S, Watkins J, Oliva E, Wirth L, Sadow PM, Faquin W, Cote GM, Hung YP, Gao X, Wu CL, Garg S, Rivera M, Le LP, John Iafrate A, Juric D, Hochberg EP, Clark J, Bardia A, Lennerz JK. Implementation and Clinical Adoption of Precision Oncology Workflows Across a Healthcare Network. Oncologist 2022; 27:930-939. [PMID: 35852437 PMCID: PMC9632318 DOI: 10.1093/oncolo/oyac134] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 06/17/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Precision oncology relies on molecular diagnostics, and the value-proposition of modern healthcare networks promises a higher standard of care across partner sites. We present the results of a clinical pilot to standardize precision oncology workflows. METHODS Workflows are defined as the development, roll-out, and updating of disease-specific molecular order sets. We tracked the timeline, composition, and effort of consensus meetings to define the combination of molecular tests. To assess clinical impact, we examined order set adoption over a two-year period (before and after roll-out) across all gastrointestinal and hepatopancreatobiliary (GI) malignancies, and by provider location within the network. RESULTS Development of 12 disease center-specific order sets took ~9 months, and the average number of tests per indication changed from 2.9 to 2.8 (P = .74). After roll-out, we identified significant increases in requests for GI patients (17%; P < .001), compliance with testing recommendations (9%; P < .001), and the fraction of "abnormal" results (6%; P < .001). Of 1088 GI patients, only 3 received targeted agents based on findings derived from non-recommended orders (1 before and 2 after roll-out); indicating that our practice did not negatively affect patient treatments. Preliminary analysis showed 99% compliance by providers in network sites, confirming the adoption of the order sets across the network. CONCLUSION Our study details the effort of establishing precision oncology workflows, the adoption pattern, and the absence of harm from the reduction of non-recommended orders. Establishing a modifiable communication tool for molecular testing is an essential component to optimize patient care via precision oncology.
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Affiliation(s)
- Dora Dias-Santagata
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Rebecca S Heist
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Adam Z Bard
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Ibiayi Dagogo-Jack
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Valentina Nardi
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Lauren L Ritterhouse
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Laura M Spring
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Nicholas Jessop
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Alexander A Farahani
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Mari Mino-Kenudson
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jill Allen
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Lipika Goyal
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Aparna Parikh
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Joseph Misdraji
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Present affiliation: Department of Pathology, Yale University, New Haven, CT, USA
| | - Ganesh Shankar
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Justin T Jordan
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Maria Martinez-Lage
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Matthew Frosch
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Timothy Graubert
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Amir T Fathi
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Gabriela S Hobbs
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Robert P Hasserjian
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Noopur Raje
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Jeremy Abramson
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Joel H Schwartz
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Ryan J Sullivan
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - David Miller
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Mai P Hoang
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Steven Isakoff
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Amy Ly
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sara Bouberhan
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Jaclyn Watkins
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Esther Oliva
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Lori Wirth
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Peter M Sadow
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - William Faquin
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Gregory M Cote
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Yin P Hung
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Xin Gao
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Chin-Lee Wu
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Salil Garg
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Miguel Rivera
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Long P Le
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - A John Iafrate
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Dejan Juric
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Ephraim P Hochberg
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Jeffrey Clark
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Aditya Bardia
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Jochen K Lennerz
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Salehi F, Mashhadi L, Khazeni K, Ebrahimi Z. Management of Cancer Patients in the COVID-19 Crisis Using Telemedicine: A Systematic Review. Stud Health Technol Inform 2022; 299:118-125. [PMID: 36325852 DOI: 10.3233/shti220969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
BACKGROUND Telemedicine can provide a solution for disease management during the COVID-19 pandemic. This literature review aims to explore the role of telemedicine during the COVID-19 pandemic for management of cancer patients. METHOD A comprehensive systematic search was conducted in PubMed, Science Direct, EMBASE, and Web of Science databases for the papers published until April 2021. Studies were included in case they had practically used telemedicine in the management of cancer patients during the COVID-19 crisis. RESULTS After screening 2614 titles and abstracts and reviewing 305 full-texts, 16 studies were found to be eligible. The results indicated that most of the patients contacted by telemedicine services mostly used to intract with patients breast cancer (n=4, 25%). The most common use of telemedicine was the provision of virtual visit services (n=10, 62.25%). Besides, communication was most frequently provided by live video conferences (n=11, 68.75%). CONCLUSION Telemedicine can provide continued access to necessary health services in oncology care and serve as an important role in pandemic planning and response.
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Affiliation(s)
- Fatemeh Salehi
- School of Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Leila Mashhadi
- Department of Anesthesia, Lung Diseases Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Kamran Khazeni
- Department of Otolaryngology, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Zahra Ebrahimi
- Human Resource Management, Faculty of Management, Islamic Azad University of North Tehran Branch, Tehran, Iran
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Jewitt N, Mah K, Bonares M, Weingarten K, Ross H, Amin R, Morgan CT, Zimmermann C, Wentlandt K. Pediatric and Adult Cardiologists' and Respirologists' Referral Practices to Palliative Care. J Pain Symptom Manage 2022; 64:461-470. [PMID: 35905938 DOI: 10.1016/j.jpainsymman.2022.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 07/05/2022] [Accepted: 07/21/2022] [Indexed: 12/24/2022]
Abstract
CONTEXT Children and adults with advanced cardiac or respiratory disease may benefit from specialized palliative care (SPC), but there has been little SPC research in this area. OBJECTIVES To explore pediatric cardiologists' and respirologists' (pediatric clinicians) beliefs about and referral practices to SPC and compare these results to adult cardiologists and respirologists (adult clinicians). METHODS Pediatric and adult clinicians were sent a survey exploring SPC referral practices and beliefs. Responses were summarized with descriptive statistics. Pediatric and adult clinicians' responses were compared using Pearson's chi-square test. RESULTS The response rate was 56% (989/1759); 9% (87/989) were pediatric clinicians. Pediatric clinicians were more likely than adult clinicians to be female, work in an academic center, and experience fewer patient deaths (P<0.001). Pediatric clinicians reported better access to SPC clinical nurse specialists, spiritual care specialists and bereavement counselors (P<0.001), while adult clinicians reported better access to palliative care units (P<0.001). Pediatric clinicians referred to SPC earlier, while adult clinicians tended to refer after disease directed therapies were stopped (P<0.001). More than half of all clinicians felt patients had negative perceptions of the phrase "palliative care". Although most clinicians were satisfied with SPC quality (73-82%), fewer adult clinicians were satisfied with SPC availability (74 vs. 47%; P<0.001). Fewer pediatric clinicians felt that SPC prioritized oncology patients (13 vs. 53%; P<0.001). CONCLUSION There are important differences between pediatric and adult clinicians' beliefs about and referral practices to SPC. This may reflect unique features of pediatric diseases, provider characteristics, care philosophies, or service availability.
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Affiliation(s)
- Natalie Jewitt
- Pediatric Advanced Care Team (PACT), The Hospital for Sick Children, Toronto, Ontario, Canada (N.J., K.W.); Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada (N.J., K.W., R.A., C.T.M.)
| | - Kenneth Mah
- Department of Supportive Care, University Health Network, Toronto, Ontario, Canada (K.M., C.Z., K.W.)
| | - Michael Bonares
- Division of Palliative Care, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (M.B.); Division of Palliative Medicine, Department of Medicine, University of Toronto, Toronto, Ontario, Canada (M.B., C.Z.)
| | - Kevin Weingarten
- Pediatric Advanced Care Team (PACT), The Hospital for Sick Children, Toronto, Ontario, Canada (N.J., K.W.); Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada (N.J., K.W., R.A., C.T.M.)
| | - Heather Ross
- Peter Munk Cardiac Centre, Department of Medicine, University of Toronto and University Health Network, Toronto, Ontario, Canada (H.R.)
| | - Reshma Amin
- Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada (N.J., K.W., R.A., C.T.M.); Division of Respiratory Medicine, Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada (R.A.)
| | - Conall Thomas Morgan
- Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada (N.J., K.W., R.A., C.T.M.); Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada (C.T.M.)
| | - Camilla Zimmermann
- Department of Supportive Care, University Health Network, Toronto, Ontario, Canada (K.M., C.Z., K.W.); Division of Palliative Medicine, Department of Medicine, University of Toronto, Toronto, Ontario, Canada (M.B., C.Z.)
| | - Kirsten Wentlandt
- Department of Supportive Care, University Health Network, Toronto, Ontario, Canada (K.M., C.Z., K.W.); Division of Palliative Care, Department of Community and Family Medicine, University of Toronto, Toronto, Ontario, Canada (K.W.).
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