1
|
Keller RB, Mazor T, Sholl L, Aguirre AJ, Singh H, Sethi N, Bass A, Nagaraja AK, Brais LK, Hill E, Hennessey C, Cusick M, Del Vecchio Fitz C, Zwiesler Z, Siegel E, Ovalle A, Trukhanov P, Hansel J, Shapiro GI, Abrams TA, Biller LH, Chan JA, Cleary JM, Corsello SM, Enzinger AC, Enzinger PC, Mayer RJ, McCleary NJ, Meyerhardt JA, Ng K, Patel AK, Perez KJ, Rahma OE, Rubinson DA, Wisch JS, Yurgelun MB, Hassett MJ, MacConaill L, Schrag D, Cerami E, Wolpin BM, Nowak JA, Giannakis M. Programmatic Precision Oncology Decision Support for Patients With Gastrointestinal Cancer. JCO Precis Oncol 2023; 7:e2200342. [PMID: 36634297 PMCID: PMC9929103 DOI: 10.1200/po.22.00342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/30/2022] [Accepted: 11/22/2022] [Indexed: 01/13/2023] Open
Abstract
PURPOSE With the growing number of available targeted therapeutics and molecular biomarkers, the optimal care of patients with cancer now depends on a comprehensive understanding of the rapidly evolving landscape of precision oncology, which can be challenging for oncologists to navigate alone. METHODS We developed and implemented a precision oncology decision support system, GI TARGET, (Gastrointestinal Treatment Assistance Regarding Genomic Evaluation of Tumors) within the Gastrointestinal Cancer Center at the Dana-Farber Cancer Institute. With a multidisciplinary team, we systematically reviewed tumor molecular profiling for GI tumors and provided molecularly informed clinical recommendations, which included identifying appropriate clinical trials aided by the computational matching platform MatchMiner, suggesting targeted therapy options on or off the US Food and Drug Administration-approved label, and consideration of additional or orthogonal molecular testing. RESULTS We reviewed genomic data and provided clinical recommendations for 506 patients with GI cancer who underwent tumor molecular profiling between January and June 2019 and determined follow-up using the electronic health record. Summary reports were provided to 19 medical oncologists for patients with colorectal (n = 198, 39%), pancreatic (n = 124, 24%), esophagogastric (n = 67, 13%), biliary (n = 40, 8%), and other GI cancers. We recommended ≥ 1 precision medicine clinical trial for 80% (406 of 506) of patients, leading to 24 enrollments. We recommended on-label and off-label targeted therapies for 6% (28 of 506) and 25% (125 of 506) of patients, respectively. Recommendations for additional or orthogonal testing were made for 42% (211 of 506) of patients. CONCLUSION The integration of precision medicine in routine cancer care through a dedicated multidisciplinary molecular tumor board is scalable and sustainable, and implementation of precision oncology recommendations has clinical utility for patients with cancer.
Collapse
Affiliation(s)
- Rachel B. Keller
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Tali Mazor
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Lynette Sholl
- Center for Advanced Molecular Diagnostics, Brigham & Women's Hospital & Harvard Medical School, Boston, MA
| | - Andrew J. Aguirre
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
- Broad Institute of Harvard and MIT, Cambridge, MA
| | - Harshabad Singh
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Nilay Sethi
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Adam Bass
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Ankur K. Nagaraja
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Lauren K. Brais
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Emma Hill
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Connor Hennessey
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Margaret Cusick
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | | | - Zachary Zwiesler
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Ethan Siegel
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Andrea Ovalle
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Pavel Trukhanov
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Jason Hansel
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Geoffrey I. Shapiro
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Thomas A. Abrams
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Leah H. Biller
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Jennifer A. Chan
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - James M. Cleary
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Steven M. Corsello
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Andrea C. Enzinger
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Peter C. Enzinger
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Robert J. Mayer
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Nadine J. McCleary
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Jeffrey A. Meyerhardt
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Kimmie Ng
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Anuj K. Patel
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Kimberley J. Perez
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Osama E. Rahma
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Douglas A. Rubinson
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Jeffrey S. Wisch
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Matthew B. Yurgelun
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Michael J. Hassett
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Laura MacConaill
- Center for Advanced Molecular Diagnostics, Brigham & Women's Hospital & Harvard Medical School, Boston, MA
| | - Deborah Schrag
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Ethan Cerami
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Brian M. Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
| | - Jonathan A. Nowak
- Center for Advanced Molecular Diagnostics, Brigham & Women's Hospital & Harvard Medical School, Boston, MA
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA
- Broad Institute of Harvard and MIT, Cambridge, MA
| |
Collapse
|
2
|
Epstein RJ, Gu Y, Lin FPY. Can cancer go green? It's up to us. Front Oncol 2023; 13:1074091. [PMID: 36910667 PMCID: PMC9992733 DOI: 10.3389/fonc.2023.1074091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 01/17/2023] [Indexed: 02/24/2023] Open
Affiliation(s)
- Richard J Epstein
- New Hope Cancer Center, Beijing United Hospital, Beijing, China.,Department of Medicine, University of New South Wales, Sydney, NSW, Australia.,Cancer Programme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Yanfei Gu
- New Hope Cancer Center, Beijing United Hospital, Beijing, China
| | - Frank P Y Lin
- Department of Medicine, University of New South Wales, Sydney, NSW, Australia.,Cancer Programme, Garvan Institute of Medical Research, Sydney, NSW, Australia.,National Health & Medical Research Council (NHMRC) Clinical Trials Centre, Sydney University, Sydney, NSW, Australia
| |
Collapse
|
3
|
Brennan P, Davey-Smith G. Identifying Novel Causes of Cancers to Enhance Cancer Prevention: New Strategies Are Needed. J Natl Cancer Inst 2022; 114:353-360. [PMID: 34743211 PMCID: PMC8902436 DOI: 10.1093/jnci/djab204] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 08/30/2021] [Accepted: 10/29/2021] [Indexed: 12/09/2022] Open
Abstract
The burden of cancer from a clinical, societal, and economic viewpoint continues to increase in all parts of the world, along with much debate regarding how to confront this. Projected increases in cancer indicate a 50% increase in the number of cases over the next 2 decades, with the greatest proportional increase in low- and medium-income settings. In contrast to the historic high cancer burden due to viral and bacterial infections in these regions, future increases are expected to be due to cancers linked to westernization including breast, colorectum, lung, and prostate cancer. Identifying the reasons underlying these increases will be paramount to informing prevention efforts. Evidence from epidemiological and laboratory studies conducted in high-income countries over the last 70 years has led to the conclusion that approximately 40% of the cancer burden is explained by known risk factors-the 2 most important being tobacco and obesity in that order-raising the question of what is driving the rest of the cancer burden. International cancer statistics continue to show that approximately 80% of the cancer burden in high-income countries could be preventable in principle, implying that there are important environmental or lifestyle risk factors for cancer that have not yet been discovered. Emerging genomic evidence from population and experimental studies points to an important role for nonmutagenic promoters in driving cancer incidence rates. New research strategies and infrastructures that combine population-based and laboratory research at a global level are required to break this deadlock.
Collapse
Affiliation(s)
- Paul Brennan
- International Agency for Research on Cancer (IARC/WHO), Genomic Epidemiology Branch, Lyon, France
| | - George Davey-Smith
- Medical Research Council Integrative Epidemiology Unit (IEU), University of Bristol, Clifton, Bristol, UK
| |
Collapse
|
4
|
Johnson BE, Creason AL, Stommel JM, Keck JM, Parmar S, Betts CB, Blucher A, Boniface C, Bucher E, Burlingame E, Camp T, Chin K, Eng J, Estabrook J, Feiler HS, Heskett MB, Hu Z, Kolodzie A, Kong BL, Labrie M, Lee J, Leyshock P, Mitri S, Patterson J, Riesterer JL, Sivagnanam S, Somers J, Sudar D, Thibault G, Weeder BR, Zheng C, Nan X, Thompson RF, Heiser LM, Spellman PT, Thomas G, Demir E, Chang YH, Coussens LM, Guimaraes AR, Corless C, Goecks J, Bergan R, Mitri Z, Mills GB, Gray JW. An omic and multidimensional spatial atlas from serial biopsies of an evolving metastatic breast cancer. Cell Rep Med 2022; 3:100525. [PMID: 35243422 PMCID: PMC8861971 DOI: 10.1016/j.xcrm.2022.100525] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 11/15/2021] [Accepted: 01/19/2022] [Indexed: 12/15/2022]
Abstract
Mechanisms of therapeutic resistance and vulnerability evolve in metastatic cancers as tumor cells and extrinsic microenvironmental influences change during treatment. To support the development of methods for identifying these mechanisms in individual people, here we present an omic and multidimensional spatial (OMS) atlas generated from four serial biopsies of an individual with metastatic breast cancer during 3.5 years of therapy. This resource links detailed, longitudinal clinical metadata that includes treatment times and doses, anatomic imaging, and blood-based response measurements to clinical and exploratory analyses, which includes comprehensive DNA, RNA, and protein profiles; images of multiplexed immunostaining; and 2- and 3-dimensional scanning electron micrographs. These data report aspects of heterogeneity and evolution of the cancer genome, signaling pathways, immune microenvironment, cellular composition and organization, and ultrastructure. We present illustrative examples of how integrative analyses of these data reveal potential mechanisms of response and resistance and suggest novel therapeutic vulnerabilities.
Collapse
Affiliation(s)
- Brett E. Johnson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Allison L. Creason
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jayne M. Stommel
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jamie M. Keck
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Swapnil Parmar
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Courtney B. Betts
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Aurora Blucher
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Christopher Boniface
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Cancer Early Detection Advanced Research Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Elmar Bucher
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Erik Burlingame
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Computational Biology Program, Oregon Health & Science University, Portland, OR 97239, USA
| | - Todd Camp
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Koei Chin
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jennifer Eng
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Joseph Estabrook
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Heidi S. Feiler
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Michael B. Heskett
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Zhi Hu
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Annette Kolodzie
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Ben L. Kong
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Pharmacy Services, Oregon Health & Science University, Portland, OR 97239, USA
| | - Marilyne Labrie
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jinho Lee
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Patrick Leyshock
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Souraya Mitri
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Janice Patterson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Knight Diagnostic Laboratories, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jessica L. Riesterer
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Multiscale Microscopy Core, Oregon Health & Science University, Portland, OR 97239, USA
| | - Shamilene Sivagnanam
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
- Computational Biology Program, Oregon Health & Science University, Portland, OR 97239, USA
| | - Julia Somers
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Damir Sudar
- Quantitative Imaging Systems LLC, Portland, OR 97239, USA
| | - Guillaume Thibault
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Benjamin R. Weeder
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Christina Zheng
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Xiaolin Nan
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Cancer Early Detection Advanced Research Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Reid F. Thompson
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Division of Hospital and Specialty Medicine, VA Portland Healthcare System, Portland, OR 97239, USA
| | - Laura M. Heiser
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Paul T. Spellman
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA
| | - George Thomas
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Pathology & Laboratory Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Emek Demir
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Young Hwan Chang
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
- Computational Biology Program, Oregon Health & Science University, Portland, OR 97239, USA
| | - Lisa M. Coussens
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Alexander R. Guimaraes
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Diagnostic Radiology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Christopher Corless
- Department of Pharmacy Services, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Pathology & Laboratory Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jeremy Goecks
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| | - Raymond Bergan
- Fred & Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Zahi Mitri
- Division of Hematology & Medical Oncology, Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Medicine, Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Gordon B. Mills
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Joe W. Gray
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
| |
Collapse
|
5
|
Hitchcock CL, Povoski SP, Mojzisik CM, Martin EW. Survival Advantage Following TAG-72 Antigen-Directed Cancer Surgery in Patients With Colorectal Carcinoma: Proposed Mechanisms of Action. Front Oncol 2021; 11:731350. [PMID: 34950576 PMCID: PMC8688248 DOI: 10.3389/fonc.2021.731350] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 10/25/2021] [Indexed: 12/09/2022] Open
Abstract
Patients with colorectal carcinoma (CRC) continue to have variable clinical outcomes despite undergoing the same surgical procedure with curative intent and having the same pathologic and clinical stage. This problem suggests the need for better techniques to assess the extent of disease during surgery. We began to address this problem 35 years ago by injecting patients with either primary or recurrent CRC with 125I-labeled murine monoclonal antibodies against the tumor-associated glycoprotein-72 (TAG-72) and using a handheld gamma-detecting probe (HGDP) for intraoperative detection and removal of radioactive, i.e., TAG-72-positive, tissue. Data from these studies demonstrated a significant difference in overall survival data (p < 0.005 or better) when no TAG-72-positive tissue remained compared to when TAG-72-positive tissue remained at the completion of surgery. Recent publications indicate that aberrant glycosylation of mucins and their critical role in suppressing tumor-associated immune response help to explain the cellular mechanisms underlying our results. We propose that monoclonal antibodies to TAG-72 recognize and bind to antigenic epitopes on mucins that suppress the tumor-associated immune response in both the tumor and tumor-draining lymph nodes. Complete surgical removal of all TAG-72-positive tissue serves to reverse the escape phase of immunoediting, allowing a resetting of this response that leads to improved overall survival of the patients with either primary or recurrent CRC. Thus, the status of TAG-72 positivity after resection has a significant impact on patient survival.
Collapse
Affiliation(s)
- Charles L. Hitchcock
- Department of Pathology, College of Medicine, The Ohio State University, Columbus, OH, United States
| | - Stephen P. Povoski
- Division of Surgical Oncology, Department of Surgery, College of Medicine, The Ohio State University, Columbus, OH, United States
| | - Cathy M. Mojzisik
- Division of Surgical Oncology, Department of Surgery, College of Medicine, The Ohio State University, Columbus, OH, United States
| | - Edward W. Martin
- Division of Surgical Oncology, Department of Surgery, College of Medicine, The Ohio State University, Columbus, OH, United States
| |
Collapse
|
6
|
Zahn KE, Jensen RB. Polymerase θ Coordinates Multiple Intrinsic Enzymatic Activities during DNA Repair. Genes (Basel) 2021; 12:1310. [PMID: 34573292 PMCID: PMC8470613 DOI: 10.3390/genes12091310] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/19/2021] [Accepted: 08/20/2021] [Indexed: 11/16/2022] Open
Abstract
The POLQ gene encodes DNA polymerase θ, a 2590 amino acid protein product harboring DNA-dependent ATPase, template-dependent DNA polymerase, dNTP-dependent endonuclease, and 5'-dRP lyase functions. Polymerase θ participates at an essential step of a DNA double-strand break repair pathway able to join 5'-resected substrates by locating and pairing microhomologies present in 3'-overhanging single-stranded tails, cleaving the extraneous 3'-DNA by dNTP-dependent end-processing, before extending the nascent 3' end from the microhomology annealing site. Metazoans require polymerase θ for full resistance to DNA double-strand break inducing agents but can survive knockout of the POLQ gene. Cancer cells with compromised homologous recombination, or other DNA repair defects, over-utilize end-joining by polymerase θ and often over-express the POLQ gene. This dependency points to polymerase θ as an ideal drug target candidate and multiple drug-development programs are now preparing to enter clinical trials with small-molecule inhibitors. Specific inhibitors of polymerase θ would not only be predicted to treat BRCA-mutant cancers, but could thwart accumulated resistance to current standard-of-care cancer therapies and overcome PARP-inhibitor resistance in patients. This article will discuss synthetic lethal strategies targeting polymerase θ in DNA damage-response-deficient cancers and summarize data, describing molecular structures and enzymatic functions.
Collapse
Affiliation(s)
- Karl E. Zahn
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT 06520, USA
- Repare Therapeutics, 7210 Rue Frederick Banting, Montreal, QC H4S 2A1, Canada
| | - Ryan B. Jensen
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT 06520, USA
| |
Collapse
|
7
|
Lassen UN, Makaroff LE, Stenzinger A, Italiano A, Vassal G, Garcia-Foncillas J, Avouac B. Precision oncology: a clinical and patient perspective. Future Oncol 2021; 17:3995-4009. [PMID: 34278817 DOI: 10.2217/fon-2021-0688] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Molecular characterization of tumors has shifted cancer treatment strategies away from nonspecific cytotoxic treatment of histology-specific tumors toward targeting of actionable mutations that can be found across multiple cancer types. The development of high-throughput technologies such as next-generation sequencing, combined with decision support applications and availability of patient databases, has provided tools that optimize disease management. Precision oncology has proven success in improving outcomes and quality of life, as well as identifying and overcoming mechanisms of drug resistance and relapse. Addressing challenges that impede its use will improve matching of therapies to patients. Here we review the current status of precision oncology medicine, emphasizing its impact on patients - what they understand about precision oncology medicine and their hopes for the future.
Collapse
Affiliation(s)
| | - Lydia E Makaroff
- Fight Bladder Cancer, Oxfordshire, OX39 4DJ, UK.,World Bladder Cancer Patient Coalition, Brussels, Belgium
| | - Albrecht Stenzinger
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, 69120, Germany
| | | | - Gilles Vassal
- Gustave Roussy Comprehensive Cancer Center, & Unversity Paris-Saclay, Villejuif, 94805, France
| | - Jesus Garcia-Foncillas
- University Cancer Institute & The Department of Oncology, University Hospital Fundacion Jimenez Diaz, Autonomous University, Madrid, 28033, Spain
| | | |
Collapse
|
8
|
Amawi H, Aljabali AAA, Boddu SHS, Amawi S, Obeid MA, Ashby CR, Tiwari AK. The use of zebrafish model in prostate cancer therapeutic development and discovery. Cancer Chemother Pharmacol 2021; 87:311-325. [PMID: 33392639 DOI: 10.1007/s00280-020-04211-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 11/26/2020] [Indexed: 12/24/2022]
Abstract
Zebrafish is now among the leading in vivo model for cancer research, including prostate cancer. They are an alternative economic model being used to study cancer development, proliferation, and metastasis. They can also be effectively utilized for the development of cancer drugs at all levels, including target validation, and high-throughput screening for possible lead molecules. In this review, we provide a comprehensive overview of the role of zebrafish as an in vivo model in prostate cancer research. Globally, prostate cancer is a leading cause of death in men. Although many molecular mechanisms have been identified as playing a role in the pathogenesis of prostate cancer, there is still a significant need to understand the initial events of the disease. Furthermore, current treatments are limited by the emergence of severe toxicities and multidrug resistance. There is an essential need for economical and relevant research tools to improve our understanding and overcome these problems. This review provides a comprehensive summary of studies that utilized zebrafish for different aims in prostate cancer research. We discuss the use of zebrafish in prostate cancer cell proliferation and metastasis, defining signaling pathways, drug discovery and therapeutic development against prostate cancer, and toxicity studies. Finally, this review highlights limitations in this field and future directions to efficiently use zebrafish as a robust model for prostate cancer therapeutics development.
Collapse
Affiliation(s)
- Haneen Amawi
- Department of Pharmacy Practice, Faculty of Pharmacy, Yarmouk University, P.O.BOX 566, Irbid, 21163, Jordan.
| | - Alaa A A Aljabali
- Department of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Yarmouk University, Irbid, Jordan
| | - Sai H S Boddu
- College of Pharmacy and Health Sciences, Ajman University, Ajman, UAE
| | - Sadam Amawi
- Department of Urology and General Surgery, Faculty of Medicine, King Abdullah University Hospital, Jordan University of Science and Technology, Irbid, 22110, Jordan
| | - Mohammad A Obeid
- Department of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Yarmouk University, Irbid, Jordan
| | - Charles R Ashby
- Department of Pharmaceutical Sciences, St. John's University, Queens, USA
| | - Amit K Tiwari
- Department of Pharmacology and Experimental Therapeutics, The University of Toledo, Toledo, OH, USA.
| |
Collapse
|
9
|
Piña-Sánchez P, Chávez-González A, Ruiz-Tachiquín M, Vadillo E, Monroy-García A, Montesinos JJ, Grajales R, Gutiérrez de la Barrera M, Mayani H. Cancer Biology, Epidemiology, and Treatment in the 21st Century: Current Status and Future Challenges From a Biomedical Perspective. Cancer Control 2021; 28:10732748211038735. [PMID: 34565215 PMCID: PMC8481752 DOI: 10.1177/10732748211038735] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Since the second half of the 20th century, our knowledge about the biology of cancer has made extraordinary progress. Today, we understand cancer at the genomic and epigenomic levels, and we have identified the cell that starts neoplastic transformation and characterized the mechanisms for the invasion of other tissues. This knowledge has allowed novel drugs to be designed that act on specific molecular targets, the immune system to be trained and manipulated to increase its efficiency, and ever more effective therapeutic strategies to be developed. Nevertheless, we are still far from winning the war against cancer, and thus biomedical research in oncology must continue to be a global priority. Likewise, there is a need to reduce unequal access to medical services and improve prevention programs, especially in countries with a low human development index.
Collapse
Affiliation(s)
- Patricia Piña-Sánchez
- Oncology Research Unit, Oncology Hospital, Mexican Institute of Social Security, Mexico
| | | | - Martha Ruiz-Tachiquín
- Oncology Research Unit, Oncology Hospital, Mexican Institute of Social Security, Mexico
| | - Eduardo Vadillo
- Oncology Research Unit, Oncology Hospital, Mexican Institute of Social Security, Mexico
| | - Alberto Monroy-García
- Oncology Research Unit, Oncology Hospital, Mexican Institute of Social Security, Mexico
| | - Juan José Montesinos
- Oncology Research Unit, Oncology Hospital, Mexican Institute of Social Security, Mexico
| | - Rocío Grajales
- Department of Medical Oncology, Oncology Hospital, Mexican Institute of Social Security, Mexico
| | - Marcos Gutiérrez de la Barrera
- Oncology Research Unit, Oncology Hospital, Mexican Institute of Social Security, Mexico
- Clinical Research Division, Oncology Hospital, Mexican Institute of Social Security, Mexico
| | - Hector Mayani
- Oncology Research Unit, Oncology Hospital, Mexican Institute of Social Security, Mexico
| |
Collapse
|
10
|
Cerqueira OLD, Clavijo-Salomon MA, Cardoso EC, Citrangulo Tortelli Junior T, Mendonça SA, Barbuto JAM, Strauss BE. Combined p14ARF and Interferon-β Gene Transfer to the Human Melanoma Cell Line SK-MEL-147 Promotes Oncolysis and Immune Activation. Front Immunol 2020; 11:576658. [PMID: 33193370 PMCID: PMC7642851 DOI: 10.3389/fimmu.2020.576658] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 09/25/2020] [Indexed: 12/11/2022] Open
Abstract
Immune evasion is an important cancer hallmark and the understanding of its mechanisms has generated successful therapeutic approaches. Induction of immunogenic cell death (ICD) is expected to attract immune cell populations that promote innate and adaptive immune responses. Here, we present a critical advance for our adenovirus-mediated gene therapy approach, where the combined p14ARF and human interferon-β (IFNβ) gene transfer to human melanoma cells led to oncolysis, ICD and subsequent activation of immune cells. Our results indicate that IFNβ alone or in combination with p14ARF was able to induce massive cell death in the human melanoma cell line SK-MEL-147, though caspase 3/7 activation was not essential. In situ gene therapy of s.c. SK-MEL-147 tumors in Nod-Scid mice revealed inhibition of tumor growth and increased survival in response to IFNβ alone or in combination with p14ARF. Emission of critical markers of ICD (exposition of calreticulin, secretion of ATP and IFNβ) was stronger when cells were treated with combined p14ARF and IFNβ gene transfer. Co-culture of previously transduced SK-MEL-147 cells with monocyte-derived dendritic cells (Mo-DCs) derived from healthy donors resulted in increased levels of activation markers HLA-DR, CD80, and CD86. Activated Mo-DCs were able to prime autologous and allogeneic T cells, resulting in increased secretion of IFNγ, TNF-α, and IL-10. Preliminary data showed that T cells primed by Mo-DCs activated with p14ARF+IFNβ-transduced SK-MEL-147 cells were able to induce the loss of viability of fresh non-transduced SK-MEL-147 cells, suggesting the induction of a specific cytotoxic population that recognized and killed SK-MEL-147 cells. Collectively, our results indicate that p14ARF and IFNβ delivered by our adenoviral system induced oncolysis in human melanoma cells accompanied by adaptive immune response activation and regulation.
Collapse
Affiliation(s)
- Otto Luiz Dutra Cerqueira
- Centro de Investigação Translacional em Oncologia (CTO), Instituto do Câncer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil
| | - Maria Alejandra Clavijo-Salomon
- Centro de Investigação Translacional em Oncologia (CTO), Instituto do Câncer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.,Departamento de Imunologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, Brazil
| | - Elaine Cristina Cardoso
- Department of Pediatrics, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil
| | - Tharcisio Citrangulo Tortelli Junior
- Centro de Investigação Translacional em Oncologia (CTO), Instituto do Câncer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil
| | - Samir Andrade Mendonça
- Centro de Investigação Translacional em Oncologia (CTO), Instituto do Câncer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil
| | - José Alexandre M Barbuto
- Departamento de Imunologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, Brazil.,Laboratory of Medical Investigation in Pathogenesis and Targeted Therapy in Onco-Immuno-Hematology (LIM-31), Department of Hematology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Bryan E Strauss
- Centro de Investigação Translacional em Oncologia (CTO), Instituto do Câncer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil
| |
Collapse
|
11
|
Melas M, Subbiah S, Saadat S, Rajurkar S, McDonnell KJ. The Community Oncology and Academic Medical Center Alliance in the Age of Precision Medicine: Cancer Genetics and Genomics Considerations. J Clin Med 2020; 9:E2125. [PMID: 32640668 PMCID: PMC7408957 DOI: 10.3390/jcm9072125] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 06/28/2020] [Accepted: 07/02/2020] [Indexed: 12/15/2022] Open
Abstract
Recent public policy, governmental regulatory and economic trends have motivated the establishment and deepening of community health and academic medical center alliances. Accordingly, community oncology practices now deliver a significant portion of their oncology care in association with academic cancer centers. In the age of precision medicine, this alliance has acquired critical importance; novel advances in nucleic acid sequencing, the generation and analysis of immense data sets, the changing clinical landscape of hereditary cancer predisposition and ongoing discovery of novel, targeted therapies challenge community-based oncologists to deliver molecularly-informed health care. The active engagement of community oncology practices with academic partners helps with meeting these challenges; community/academic alliances result in improved cancer patient care and provider efficacy. Here, we review the community oncology and academic medical center alliance. We examine how practitioners may leverage academic center precision medicine-based cancer genetics and genomics programs to advance their patients' needs. We highlight a number of project initiatives at the City of Hope Comprehensive Cancer Center that seek to optimize community oncology and academic cancer center precision medicine interactions.
Collapse
Affiliation(s)
- Marilena Melas
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43205, USA;
| | - Shanmuga Subbiah
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Glendora, CA 91741, USA;
| | - Siamak Saadat
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Colton, CA 92324, USA;
| | - Swapnil Rajurkar
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Upland, CA 91786, USA;
| | - Kevin J. McDonnell
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center and Beckman Research Institute, Duarte, CA 91010, USA
- Center for Precision Medicine, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| |
Collapse
|
12
|
Precision Medicine Tumor Boards: Clinical Applicability of Personalized Treatment Concepts in Ovarian Cancer. Cancers (Basel) 2020; 12:cancers12030548. [PMID: 32120793 PMCID: PMC7139570 DOI: 10.3390/cancers12030548] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 02/14/2020] [Accepted: 02/20/2020] [Indexed: 11/26/2022] Open
Abstract
Background: Treating cancer according to its molecular alterations (i.e., targeted treatment, TT) is the goal of precision medicine tumor boards (PTBs). Their clinical applicability has been evaluated for ovarian cancer patients in this analysis. Methods: All consecutive ovarian cancer patients discussed in a PTB at the Medical University of Vienna, Austria, from April 2015 to April 2019 were included (n = 44). Results: In 38/44 (86%) cases, at least one mutation, deletion or amplification was detected. The most frequently altered genes were p53 (64%), PI3K pathway (18%), KRAS (14%), BRCA1 (11%) and BRCA2 (2%). In 31 patients (70%) a TT was recommended. A total of 12/31 patients (39%) received the recommended therapy. Median time from indication for PTB to TT start was 65 days (15–216). Median time to treatment failure was 2.7 months (0.2–13.2). Clinical benefit rate (CBR) was 42%. Reasons for treatment discontinuation were disease progression (42%), poor performance status (PS > 2; 25%), death (17%) or treatment related side effects (8%). In 61% the TT was not administered—mainly due to PS > 2. Conclusion: Even though a TT recommendation can be derived frequently, clinical applicability remains limited due to poor patients’ general condition after exploitation of standard treatment. However, we observed antitumor activity in a substantial number of heavily pretreated patients.
Collapse
|
13
|
ZeOncoTest: Refining and Automating the Zebrafish Xenograft Model for Drug Discovery in Cancer. Pharmaceuticals (Basel) 2019; 13:ph13010001. [PMID: 31878274 PMCID: PMC7169390 DOI: 10.3390/ph13010001] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Revised: 12/12/2019] [Accepted: 12/23/2019] [Indexed: 12/24/2022] Open
Abstract
The xenograft of human cancer cells in model animals is a powerful tool for understanding tumor progression and metastatic potential. Mice represent a validated host, but their use is limited by the elevated experimental costs and low throughput. To overcome these restrictions, zebrafish larvae might represent a valuable alternative. Their small size and transparency allow the tracking of transplanted cells. Therefore, tumor growth and early steps of metastasis, which are difficult to evaluate in mice, can be addressed. In spite of its advantages, the use of this model has been hindered by lack of experimental homogeneity and validation. Considering these facts, the aim of our work was to standardize, automate, and validate a zebrafish larvae xenograft assay with increased translatability and higher drug screening throughput. The ZeOncoTest reliability is based on the optimization of different experimental parameters, such as cell labeling, injection site, automated individual sample image acquisition, and analysis. This workflow implementation finally allows a higher precision and experimental throughput increase, when compared to previous reports. The approach was validated with the breast cancer cell line MDA-MB-231, the colorectal cancer cells HCT116, and the prostate cancer cells PC3; and known drugs, respectively RKI-1447, Docetaxel, and Mitoxantrone. The results recapitulate growth and invasion for all tested tumor cells, along with expected efficacy of the compounds. Finally, the methodology has proven useful for understanding specific drugs mode of action. The insights gained bring a step further for zebrafish larvae xenografts to enter the regulated preclinical drug discovery path.
Collapse
|
14
|
Rohrmoser A, Pichler T, Letsch A, Westphalen CB, Keilholz U, Heinemann V, Goerling U, Herschbach P. Cancer patients' expectations when undergoing extensive molecular diagnostics—A qualitative study. Psychooncology 2019; 29:423-429. [DOI: 10.1002/pon.5282] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 10/02/2019] [Accepted: 10/27/2019] [Indexed: 12/11/2022]
Affiliation(s)
- Amy Rohrmoser
- Charité Comprehensive Cancer Center Charité—Universitätsmedizin Berlin Berlin Germany
| | - Theresia Pichler
- Comprehensive Cancer Center München Munich Germany
- Klinikum rechts der Isar Technische Universität München Munich Germany
| | - Anne Letsch
- Charité Comprehensive Cancer Center Charité—Universitätsmedizin Berlin Berlin Germany
- Medizinische Klinik für Hämatologie und Onkologie Campus Benjamin Franklin, Charité—Universitätsmedizin Berlin Berlin Germany
| | - C. Benedikt Westphalen
- Comprehensive Cancer Center München Munich Germany
- Medizinische Klinik und Poliklinik III Klinikum der Universität München Munich Germany
| | - Ulrich Keilholz
- Charité Comprehensive Cancer Center Charité—Universitätsmedizin Berlin Berlin Germany
| | - Volker Heinemann
- Comprehensive Cancer Center München Munich Germany
- Medizinische Klinik und Poliklinik III Klinikum der Universität München Munich Germany
| | - Ute Goerling
- Charité Comprehensive Cancer Center Charité—Universitätsmedizin Berlin Berlin Germany
| | - Peter Herschbach
- Comprehensive Cancer Center München Munich Germany
- Klinik und Poliklinik für Psychosomatische Medizin und Psychotherapie, Klinikum rechts der Isar Technische Universität München Munich Germany
| |
Collapse
|
15
|
Affiliation(s)
| | - Giuseppe Curigliano
- Division of Early Drug Development for Innovative Therapy, IEO, European Institute of Oncology IRCCS, Milan, Italy.,Department of Oncology and Haematology (DIPO), University of Milan, Milan, Italy
| |
Collapse
|
16
|
Petri GL, Cascioferro S, Parrino B, Peters GJ, Diana P, Giovannetti E. Proton-coupled folate transporter as a biomarker of outcome to treatment for pleural mesothelioma. Pharmacogenomics 2018; 19:811-814. [PMID: 29916298 DOI: 10.2217/pgs-2018-0071] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Affiliation(s)
- Giovanna Li Petri
- Department of Medical Oncology, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1117, 1081HV Amsterdam, The Netherlands
- Dipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche, Sezione di Chimica e Tecnologie Farmaceutiche, Università degli Studi di Palermo, Via Archirafi 32, 90123 Palermo, Italy
| | - Stella Cascioferro
- Dipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche, Sezione di Chimica e Tecnologie Farmaceutiche, Università degli Studi di Palermo, Via Archirafi 32, 90123 Palermo, Italy
| | - Barbara Parrino
- Dipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche, Sezione di Chimica e Tecnologie Farmaceutiche, Università degli Studi di Palermo, Via Archirafi 32, 90123 Palermo, Italy
| | - Godefridus J Peters
- Department of Medical Oncology, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1117, 1081HV Amsterdam, The Netherlands
| | - Patrizia Diana
- Dipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche, Sezione di Chimica e Tecnologie Farmaceutiche, Università degli Studi di Palermo, Via Archirafi 32, 90123 Palermo, Italy
| | - Elisa Giovannetti
- Department of Medical Oncology, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1117, 1081HV Amsterdam, The Netherlands
- Dipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche, Sezione di Chimica e Tecnologie Farmaceutiche, Università degli Studi di Palermo, Via Archirafi 32, 90123 Palermo, Italy
- Cancer Pharmacology Lab, AIRC Start-Up Unit, University of Pisa, via Paradisa, 56100, Pisa, Italy
| |
Collapse
|