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Sharma S, Singh N, Turk AA, Wan I, Guttikonda A, Dong JL, Zhang X, Opyrchal M. Molecular insights into clinical trials for immune checkpoint inhibitors in colorectal cancer: Unravelling challenges and future directions. World J Gastroenterol 2024; 30:1815-1835. [PMID: 38659481 PMCID: PMC11036501 DOI: 10.3748/wjg.v30.i13.1815] [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] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 02/22/2024] [Accepted: 03/13/2024] [Indexed: 04/03/2024] Open
Abstract
Colorectal cancer (CRC) is a complex disease with diverse etiologies and clinical outcomes. Despite considerable progress in development of CRC therapeutics, challenges remain regarding the diagnosis and management of advanced stage metastatic CRC (mCRC). In particular, the five-year survival rate is very low since mCRC is currently rarely curable. Over the past decade, cancer treatment has significantly improved with the introduction of cancer immunotherapies, specifically immune checkpoint inhibitors. Therapies aimed at blocking immune checkpoints such as PD-1, PD-L1, and CTLA-4 target inhibitory pathways of the immune system, and thereby enhance anti-tumor immunity. These therapies thus have shown promising results in many clinical trials alone or in combination. The efficacy and safety of immunotherapy, either alone or in combination with CRC, have been investigated in several clinical trials. Clinical trials, including KEYNOTE-164 and CheckMate 142, have led to Food and Drug Administration approval of the PD-1 inhibitors pembrolizumab and nivolumab, respectively, for the treatment of patients with unresectable or metastatic microsatellite instability-high or deficient mismatch repair CRC. Unfortunately, these drugs benefit only a small percentage of patients, with the benefits of immunotherapy remaining elusive for the vast majority of CRC patients. To this end, primary and secondary resistance to immunotherapy remains a significant issue, and further research is necessary to optimize the use of immunotherapy in CRC and identify biomarkers to predict the response. This review provides a comprehensive overview of the clinical trials involving immune checkpoint inhibitors in CRC. The underlying rationale, challenges faced, and potential future steps to improve the prognosis and enhance the likelihood of successful trials in this field are discussed.
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Affiliation(s)
- Samantha Sharma
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, United States
| | - Naresh Singh
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, United States
| | - Anita Ahmed Turk
- Division of Hematology/Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, United States
| | - Isabella Wan
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, United States
| | - Akshay Guttikonda
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, United States
| | - Julia Lily Dong
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, United States
| | - Xinna Zhang
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, United States
- Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN 46202, United States
| | - Mateusz Opyrchal
- Division of Hematology/Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, United States
- Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN 46202, United States
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2
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Fujiwara Y, Kato S, Kurzrock R. Evolution of Precision Oncology, Personalized Medicine, and Molecular Tumor Boards. Surg Oncol Clin N Am 2024; 33:197-216. [PMID: 38401905 PMCID: PMC10894322 DOI: 10.1016/j.soc.2023.12.004] [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] [Indexed: 02/26/2024]
Abstract
With multiple molecular targeted therapies available for patients with cancer that correspond to a specific genetic alteration, the selection of the best treatment is essential to ensure therapeutic efficacy. Molecular tumor boards (MTBs) play a key role in this process to deliver personalized medicine to patients with cancer in a multidisciplinary manner. Historically, personalized medicine has been offered to patients with advanced cancer, but the incorporation of molecular targeted therapies and immunotherapy into the perioperative setting requires clinicians to understand the role of the MTB. Evidence is accumulating to support feasibility and survival benefit in patients treated with matched therapy.
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Affiliation(s)
- Yu Fujiwara
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY 14263, USA.
| | - Shumei Kato
- Center for Personalized Cancer Therapy, University of California San Diego Moores Cancer Center, 3855 Health Sciences Drive, La Jolla, CA 92093, USA; Division of Hematology and Oncology, Department of Medicine, University of California San Diego Moores Cancer Center, La Jolla, CA, USA
| | - Razelle Kurzrock
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Froedtert and Medical College of Wisconsin Cancer Center and Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, 9200 West Wisconsin Avenue, Milwaukee, WI 53226, USA; WIN Consortium, Paris, France; University of Nebraska, Lincoln, NE, USA
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3
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Rogers JL, Wall T, Acquaye-Mallory AA, Boris L, Kim Y, Aldape K, Quezado MM, Butman JA, Smirniotopoulos JG, Chaudhry H, Tsien CI, Chittiboina P, Zaghloul K, Aboud O, Avgeropoulos NG, Burton EC, Cachia DM, Dixit KS, Drappatz J, Dunbar EM, Forsyth P, Komlodi-Pasztor E, Mandel J, Ozer BH, Lee EQ, Ranjan S, Lukas RV, Raygada M, Salacz ME, Smith-Cohn MA, Snyder J, Soldatos A, Theeler BJ, Widemann BC, Camphausen KA, Heiss JD, Armstrong TS, Gilbert MR, Penas-Prado M. Virtual multi-institutional tumor board: a strategy for personalized diagnoses and management of rare CNS tumors. J Neurooncol 2024; 167:349-359. [PMID: 38427131 PMCID: PMC11023967 DOI: 10.1007/s11060-024-04613-6] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 02/17/2024] [Indexed: 03/02/2024]
Abstract
PURPOSE Multidisciplinary tumor boards (MTBs) integrate clinical, molecular, and radiological information and facilitate coordination of neuro-oncology care. During the COVID-19 pandemic, our MTB transitioned to a virtual and multi-institutional format. We hypothesized that this expansion would allow expert review of challenging neuro-oncology cases and contribute to the care of patients with limited access to specialized centers. METHODS We retrospectively reviewed records from virtual MTBs held between 04/2020-03/2021. Data collected included measures of potential clinical impact, including referrals to observational or therapeutic studies, referrals for specialized neuropathology analysis, and whether molecular findings led to a change in diagnosis and/or guided management suggestions. RESULTS During 25 meetings, 32 presenters discussed 44 cases. Approximately half (n = 20; 48%) involved a rare central nervous system (CNS) tumor. In 21% (n = 9) the diagnosis was changed or refined based on molecular profiling obtained at the NIH and in 36% (n = 15) molecular findings guided management. Clinical trial suggestions were offered to 31% (n = 13), enrollment in the observational NCI Natural History Study to 21% (n = 9), neuropathology review and molecular testing at the NIH to 17% (n = 7), and all received management suggestions. CONCLUSION Virtual multi-institutional MTBs enable remote expert review of CNS tumors. We propose them as a strategy to facilitate expert opinions from specialized centers, especially for rare CNS tumors, helping mitigate geographic barriers to patient care and serving as a pre-screening tool for studies. Advanced molecular testing is key to obtaining a precise diagnosis, discovering potentially actionable targets, and guiding management.
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Affiliation(s)
- James L Rogers
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Thomas Wall
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Alvina A Acquaye-Mallory
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Lisa Boris
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Yeonju Kim
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
- Wayne State University School of Medicine, 540 E Canfield St, Detroit, MI, 48201, USA
| | - Kenneth Aldape
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Martha M Quezado
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - John A Butman
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - James G Smirniotopoulos
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Huma Chaudhry
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Christina I Tsien
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
- Proton Therapy Center, Sibley Memorial Hospital, Johns Hopkins Medicine, 5255 Loughboro Rd NW, Washington, DC, 20016, USA
| | - Prashant Chittiboina
- Surgical Neurology Branch,, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Kareem Zaghloul
- Surgical Neurology Branch,, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Orwa Aboud
- Department of Neurology and Neurological Surgery, UC Davis Comprehensive Cancer Center, 4860 Y Street, Sacramento, CA, 95817, USA
| | - Nicholas G Avgeropoulos
- Brain and Spine Tumor Program, Orlando Health Cancer Institute, 1400 S. Orange Ave, Orlando, FL, 32806, USA
- Global Medical Affairs, Novocure GmbH, D4 Pk. 6, 6039, Root, Switzerland
| | - Eric C Burton
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - David M Cachia
- Department of Hematology/Oncology, University of Massachusetts, 55 Lake Ave, Worcester, MA, 01655, USA
| | - Karan S Dixit
- Lou and Jean Malnati Brain Tumor Institute, Northwestern University Feinberg School of Medicine, 675 N St Clair St, Chicago, IL, 60611, USA
| | - Jan Drappatz
- Department of Neurology, University of Pittsburgh Medical Center, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
| | - Erin M Dunbar
- Piedmont Brain Tumor Center, Piedmont Atlanta Hospital, Atlanta, GA, 2001 Peachtree St30309, USA
| | - Peter Forsyth
- Department of Neuro-Oncology, Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL, 33612, USA
| | - Edina Komlodi-Pasztor
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
- Department of Neurology, MedStar Georgetown University Hospital, 3800 Reservoir Road Washington, Washington DC, 20007, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, 7200 Cambridge St, Houston, TX, 77030, USA
| | - Byram H Ozer
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Eudocia Q Lee
- Center for Neuro-Oncology, Dana Farber Cancer Institute, 450 Brookline Ave, Boston, MA, 02215, USA
| | - Surabhi Ranjan
- Department of Neurology, Cleveland Clinic Florida, Weston Hospital, 2950 Cleveland Clinic Boulevard, Weston, FL, 33331, US
| | - Rimas V Lukas
- Lou and Jean Malnati Brain Tumor Institute, Northwestern University Feinberg School of Medicine, 675 N St Clair St, Chicago, IL, 60611, USA
| | - Margarita Raygada
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 1 Center Dr, Bethesda, MD, 20892, USA
| | - Michael E Salacz
- Department of Hematology and Medical Oncology, MD Anderson Cancer Center at Cooper, Cooper University Health Care, Two Cooper Plaza, Camden, NJ, 08103, USA
| | - Matthew A Smith-Cohn
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
- Benefis Sletten Cancer Institute, 1117 29Th St. S, Great Falls, MT, 59405, USA
| | - James Snyder
- Hermelin Brain Tumor Center, Henry Ford Cancer Institute, 2800 W Grand Blvd, Detroit, MI, 48202, USA
| | - Ariane Soldatos
- National Institute of Neurological Disorders and Stroke,, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Brett J Theeler
- School of Medicine, Uniformed Services University, 4301 Jones Bridge Rd, Bethesda, MD, 20814, USA
| | - Brigitte C Widemann
- Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Kevin A Camphausen
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - John D Heiss
- Surgical Neurology Branch,, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Terri S Armstrong
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Mark R Gilbert
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Marta Penas-Prado
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA.
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O’Sullivan NJ, Temperley HC, Horan MT, Corr A, Mehigan BJ, Larkin JO, McCormick PH, Kavanagh DO, Meaney JFM, Kelly ME. Radiogenomics: Contemporary Applications in the Management of Rectal Cancer. Cancers (Basel) 2023; 15:5816. [PMID: 38136361 PMCID: PMC10741704 DOI: 10.3390/cancers15245816] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/05/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
Radiogenomics, a sub-domain of radiomics, refers to the prediction of underlying tumour biology using non-invasive imaging markers. This novel technology intends to reduce the high costs, workload and invasiveness associated with traditional genetic testing via the development of 'imaging biomarkers' that have the potential to serve as an alternative 'liquid-biopsy' in the determination of tumour biological characteristics. Radiogenomics also harnesses the potential to unlock aspects of tumour biology which are not possible to assess by conventional biopsy-based methods, such as full tumour burden, intra-/inter-lesion heterogeneity and the possibility of providing the information of tumour biology longitudinally. Several studies have shown the feasibility of developing a radiogenomic-based signature to predict treatment outcomes and tumour characteristics; however, many lack prospective, external validation. We performed a systematic review of the current literature surrounding the use of radiogenomics in rectal cancer to predict underlying tumour biology.
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Affiliation(s)
- Niall J. O’Sullivan
- Department of Radiology, St. James’s Hospital, D08 NHY1 Dublin, Ireland; (M.T.H.)
- School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- The National Centre for Advanced Medical Imaging (CAMI), St. James’s Hospital, D08 NHY1 Dublin, Ireland
| | - Hugo C. Temperley
- Department of Surgery, St. James’s Hospital, D08 NHY1 Dublin, Ireland;
| | - Michelle T. Horan
- Department of Radiology, St. James’s Hospital, D08 NHY1 Dublin, Ireland; (M.T.H.)
- School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- The National Centre for Advanced Medical Imaging (CAMI), St. James’s Hospital, D08 NHY1 Dublin, Ireland
| | - Alison Corr
- Department of Radiology, St. James’s Hospital, D08 NHY1 Dublin, Ireland; (M.T.H.)
| | - Brian J. Mehigan
- School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- Department of Surgery, St. James’s Hospital, D08 NHY1 Dublin, Ireland;
| | - John O. Larkin
- School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- Department of Surgery, St. James’s Hospital, D08 NHY1 Dublin, Ireland;
| | - Paul H. McCormick
- School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- Department of Surgery, St. James’s Hospital, D08 NHY1 Dublin, Ireland;
| | - Dara O. Kavanagh
- Department of Surgery, Tallaght University Hospital, D24 NR0A Dublin, Ireland
- Department of Surgery, Royal College of Surgeons, D02 YN77 Dublin, Ireland
| | - James F. M. Meaney
- Department of Radiology, St. James’s Hospital, D08 NHY1 Dublin, Ireland; (M.T.H.)
- The National Centre for Advanced Medical Imaging (CAMI), St. James’s Hospital, D08 NHY1 Dublin, Ireland
| | - Michael E. Kelly
- School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- Department of Surgery, St. James’s Hospital, D08 NHY1 Dublin, Ireland;
- Trinity St. James’s Cancer Institute (TSJCI), D08 NHY1 Dublin, Ireland
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5
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Rodriguez Castells M, Baraibar I, Ros J, Saoudi N, Salvà F, García A, Alcaraz A, Tabernero J, Élez E. The impact of clinical and translational research on the quality of life during the metastatic colorectal cancer patient journey. Front Oncol 2023; 13:1272561. [PMID: 37909013 PMCID: PMC10614292 DOI: 10.3389/fonc.2023.1272561] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 09/30/2023] [Indexed: 11/02/2023] Open
Abstract
The journey of metastatic colorectal cancer patients is complex and challenging, requiring coordination and collaboration between multiple healthcare providers. Understanding patients' needs, fears, feelings, concerns, and behaviors is essential for providing individualized patient-centered care. In recent years, mCRC patients have experienced improvements in clinical outcomes, from 16 months of overall survival to 32 months, thanks to research. However, there is still room for improvement, and integrating clinical and translational research into routine practice can help patients benefit from treatments and techniques that would not be an option. In the Journey of mCRC patients, living well with cancer and quality of life becomes a priority given the outcomes of the disease. Patient reported outcomes (PRO) and Patient Reported Outcome Measures (PROMs) are becoming therefore new estimands in Oncology. Patient advocates represent important figures in this process by prioritizing issues and research questions; evaluating research designs and the performance of the research; the analysis and interpretation of data; and how results are disseminated. Multidisciplinary Tumor Boards and shared decision-making is essential for designing treatment strategies for individual patients. Quality of Life is often prioritized only when it comes to refractory advanced disease and end-of-life care, but it has to be integrated from the beginning, as the emotional impact of diagnosis leads to a vulnerable situation where patients' needs and preferences can be easily overseen. First-line treatment will be chosen among more treatment options than subsequent lines, with longer progression-free survival and a bigger impact on the outcomes. Practicing patient-centered care and optimizing first-line treatment for colorectal cancer patients requires a comprehensive understanding of patient experience and treatment outcomes, which can guide clinical practice and inform regulatory decisions for the benefit of patients.
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Affiliation(s)
- Marta Rodriguez Castells
- Medical Oncology Department, Vall d’Hebron University Hospital, Barcelona, Spain
- Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Iosune Baraibar
- Medical Oncology Department, Vall d’Hebron University Hospital, Barcelona, Spain
- Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Javier Ros
- Medical Oncology Department, Vall d’Hebron University Hospital, Barcelona, Spain
- Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Nadia Saoudi
- Medical Oncology Department, Vall d’Hebron University Hospital, Barcelona, Spain
- Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Francesc Salvà
- Medical Oncology Department, Vall d’Hebron University Hospital, Barcelona, Spain
| | - Ariadna García
- Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Adriana Alcaraz
- Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Josep Tabernero
- Medical Oncology Department, Vall d’Hebron University Hospital, Barcelona, Spain
- Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Elena Élez
- Medical Oncology Department, Vall d’Hebron University Hospital, Barcelona, Spain
- Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
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6
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Giacomini P, Valenti F, Allegretti M, Pallocca M, De Nicola F, Ciuffreda L, Fanciulli M, Scalera S, Buglioni S, Melucci E, Casini B, Carosi M, Pescarmona E, Giordani E, Sperati F, Jannitti N, Betti M, Maugeri-Saccà M, Cecere FL, Villani V, Pace A, Appetecchia M, Vici P, Savarese A, Krasniqi E, Ferraresi V, Russillo M, Fabi A, Landi L, Minuti G, Cappuzzo F, Zeuli M, Ciliberto G. The Molecular Tumor Board of the Regina Elena National Cancer Institute: from accrual to treatment in real-world. J Transl Med 2023; 21:725. [PMID: 37845764 PMCID: PMC10577953 DOI: 10.1186/s12967-023-04595-5] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 10/05/2023] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND Molecular Tumor Boards (MTB) operating in real-world have generated limited consensus on good practices for accrual, actionable alteration mapping, and outcome metrics. These topics are addressed herein in 124 MTB patients, all real-world accrued at progression, and lacking approved therapy options. METHODS Actionable genomic alterations identified by tumor DNA (tDNA) and circulating tumor DNA (ctDNA) profiling were mapped by customized OncoKB criteria to reflect diagnostic/therapeutic indications as approved in Europe. Alterations were considered non-SoC when mapped at either OncoKB level 3, regardless of tDNA/ctDNA origin, or at OncoKB levels 1/2, provided they were undetectable in matched tDNA, and had not been exploited in previous therapy lines. RESULTS Altogether, actionable alterations were detected in 54/124 (43.5%) MTB patients, but only in 39 cases (31%) were these alterations (25 from tDNA, 14 from ctDNA) actionable/unexploited, e.g. they had not resulted in the assignment of pre-MTB treatments. Interestingly, actionable and actionable/unexploited alterations both decreased (37.5% and 22.7% respectively) in a subset of 88 MTB patients profiled by tDNA-only, but increased considerably (77.7% and 66.7%) in 18 distinct patients undergoing combined tDNA/ctDNA testing, approaching the potential treatment opportunities (76.9%) in 147 treatment-naïve patients undergoing routine tDNA profiling for the first time. Non-SoC therapy was MTB-recommended to all 39 patients with actionable/unexploited alterations, but only 22 (56%) accessed the applicable drug, mainly due to clinical deterioration, lengthy drug-gathering procedures, and geographical distance from recruiting clinical trials. Partial response and stable disease were recorded in 8 and 7 of 19 evaluable patients, respectively. The time to progression (TTP) ratio (MTB-recommended treatment vs last pre-MTB treatment) exceeded the conventional Von Hoff 1.3 cut-off in 9/19 cases, high absolute TTP and Von Hoff values coinciding in 3 cases. Retrospectively, 8 patients receiving post-MTB treatment(s) as per physician's choice were noted to have a much longer overall survival from MTB accrual than 11 patients who had received no further treatment (35.09 vs 6.67 months, p = 0.006). CONCLUSIONS MTB-recommended/non-SoC treatments are effective, including those assigned by ctDNA-only alterations. However, real-world MTBs may inadvertently recruit patients electively susceptible to diverse and/or multiple treatments.
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Affiliation(s)
- Patrizio Giacomini
- Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy.
| | - Fabio Valenti
- UOC Translational Oncology Research, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Matteo Allegretti
- UOC Translational Oncology Research, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Matteo Pallocca
- Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Francesca De Nicola
- SAFU, Department of Research, Advanced Diagnostics, and Technological Innovation, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Ludovica Ciuffreda
- SAFU, Department of Research, Advanced Diagnostics, and Technological Innovation, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Maurizio Fanciulli
- SAFU, Department of Research, Advanced Diagnostics, and Technological Innovation, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Stefano Scalera
- Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Simonetta Buglioni
- Department of Pathology, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Elisa Melucci
- Department of Pathology, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Beatrice Casini
- Department of Pathology, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Mariantonia Carosi
- Department of Pathology, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Edoardo Pescarmona
- Department of Pathology, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Elena Giordani
- UOC Translational Oncology Research, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Francesca Sperati
- Clinical Trial Center, Biostatistics and Bioinformatics, San Gallicano Dermatological Institute IRCCS, 00144, Rome, Italy
| | - Nicoletta Jannitti
- Pharmacy Unit, Medical Direction, IRCCS-Regina Elena National Cancer Institute and San Gallicano Institute, 00144, Rome, Italy
| | - Martina Betti
- Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Marcello Maugeri-Saccà
- Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
- Medical Oncology 2, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | | | - Veronica Villani
- Neuro-Oncology Unit, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Andrea Pace
- Neuro-Oncology Unit, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Marialuisa Appetecchia
- Oncological Endocrinology Unit, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Patrizia Vici
- Phase IV Studies, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Antonella Savarese
- Medical Oncology 1, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Eriseld Krasniqi
- Phase IV Studies, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Virginia Ferraresi
- Sarcomas and Rare Tumors Departmental Unit, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Michelangelo Russillo
- Sarcomas and Rare Tumors Departmental Unit, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Alessandra Fabi
- Precision Medicine Unit in Senology, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy
| | - Lorenza Landi
- Clinical Trial Center: Phase 1 and Precision Medicine, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Gabriele Minuti
- Clinical Trial Center: Phase 1 and Precision Medicine, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Federico Cappuzzo
- Medical Oncology 2, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Massimo Zeuli
- Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
- Medical Oncology 1, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
| | - Gennaro Ciliberto
- Scientific Direction, IRCCS-Regina Elena National Cancer Institute, 00144, Rome, Italy
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7
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El Helali A, Lam TC, Ko EYL, Shih DJ, Chan CK, Wong CH, Wong JW, Cheung LW, Lau JK, Liu AP, Chan AS, Loong HH, Lam STS, Chan GCF, Lee VH, Yuen KK, Ng WT, Lee AW, Ma ES. The impact of the multi-disciplinary molecular tumour board and integrative next generation sequencing on clinical outcomes in advanced solid tumours. Lancet Reg Health West Pac 2023; 36:100775. [PMID: 37547050 PMCID: PMC10398587 DOI: 10.1016/j.lanwpc.2023.100775] [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] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 03/31/2023] [Accepted: 04/13/2023] [Indexed: 08/08/2023]
Abstract
Background The integration of next-generation sequencing (NGS) comprehensive gene profiling (CGP) into clinical practice is playing an increasingly important role in oncology. Therefore, the HKU-HKSH Multi-disciplinary Molecular Tumour Board (MTB) was established to advance precision oncology in Hong Kong. A multicenter retrospective study investigated the feasibility of the HKU-HKSH MTB in determining genome-guided therapy for treatment-refractory solid cancers in Hong Kong. Methods Patients who were presented at the HKU-HKSH MTB between August 2018 and June 2022 were included in this study. The primary study endpoints were the proportion of patients who receive MTB-guided therapy based on genomic analysis and overall survival (OS). Secondary endpoints included the proportion of patients with actionable genomic alterations, objective response rate (ORR), and disease control rate (DCR). The Kaplan-Meier method was used in the survival analyses, and hazard ratios were calculated using univariate Cox regression. Findings 122 patients were reviewed at the HKU-HKSH MTB, and 63% (n = 77) adopted treatment per the MTB recommendations. These patients achieved a significantly longer median OS than those who did not receive MTB-guided therapy (12.7 months vs. 5.2 months, P = 0.0073). Their ORR and DCR were 29% and 65%, respectively. Interpretation Our study demonstrated that among patients with heavily pre-treated advanced solid cancers, MTB-guided treatment could positively impact survival outcomes, thus illustrating the applicability of NGS CGPs in real-world clinical practice. Funding The study was supported by the Li Shu Pui Medical Foundation. Dr Aya El Helali was supported by the Li Shu Pui Medical Foundation Fellowship grant from the Li Shu Pui Medical Foundation. Funders had no role in study design, data collection, data analysis, interpretation, or writing of the report.
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Affiliation(s)
- Aya El Helali
- Department of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Oncology Medical Center, The University of Hong Kong - Shenzhen Hospital, Shenzhen, China
| | - Tai-Chung Lam
- Department of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Oncology Medical Center, The University of Hong Kong - Shenzhen Hospital, Shenzhen, China
| | - Elaine Yee-Ling Ko
- Department of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - David J.H. Shih
- School of Biomedical Science, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Chun Kau Chan
- Department of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Charlene H.L. Wong
- Department of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Oncology Medical Center, The University of Hong Kong - Shenzhen Hospital, Shenzhen, China
| | - Jason W.H. Wong
- School of Biomedical Science, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Lydia W.T. Cheung
- School of Biomedical Science, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Johnny K.S. Lau
- Department of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Oncology Medical Center, The University of Hong Kong - Shenzhen Hospital, Shenzhen, China
| | - Anthony P.Y. Liu
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ann S.Y. Chan
- Department of Clinical Oncology, Queen Mary Hospital, Hong Kong SAR, China
| | - Herbert H. Loong
- Department of Clinical Oncology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Stephen Tak Sum Lam
- Clinical Genetics Service, Hong Kong Sanatorium & Hospital, Hong Kong SAR, China
| | - Godfrey Chi-Fung Chan
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Victor H.F. Lee
- Department of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Oncology Medical Center, The University of Hong Kong - Shenzhen Hospital, Shenzhen, China
| | - Kwok Keung Yuen
- Department of Clinical Oncology, Queen Mary Hospital, Hong Kong SAR, China
| | - Wai-Tong Ng
- Department of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Oncology Medical Center, The University of Hong Kong - Shenzhen Hospital, Shenzhen, China
| | - Anne W.M. Lee
- Department of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Oncology Medical Center, The University of Hong Kong - Shenzhen Hospital, Shenzhen, China
| | - Edmond S.K. Ma
- Division of Clinical Pathology & Molecular Pathology, Hong Kong Sanatorium Hospital, Hong Kong SAR, China
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Azzollini J, Agnelli L, Conca E, Torelli T, Busico A, Capone I, Angelini M, Tamborini E, Perrone F, Vingiani A, Lorenzini D, Peissel B, Pruneri G, Manoukian S. Prevalence of BRCA homopolymeric indels in an ION Torrent-based tumour-to-germline testing workflow in high-grade ovarian carcinoma. Sci Rep 2023; 13:7781. [PMID: 37179432 PMCID: PMC10182972 DOI: 10.1038/s41598-023-33857-x] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 04/20/2023] [Indexed: 05/15/2023] Open
Abstract
Tumour DNA sequencing is essential for precision medicine since it guides therapeutic decisions but also fosters the identification of patients who may benefit from germline testing. Notwithstanding, the tumour-to-germline testing workflow presents a few caveats. The low sensitivity for indels at loci with sequences of identical bases (homopolymers) of ion semiconductor-based sequencing techniques represents a well-known limitation, but the prevalence of indels overlooked by these techniques in high-risk populations has not been investigated. In our study, we addressed this issue at the homopolymeric regions of BRCA1/2 in a retrospectively selected cohort of 157 patients affected with high-grade ovarian cancer and negative at tumour testing by ION Torrent sequencing. Variant allele frequency (VAF) of indels at each of the 29 investigated homopolymers was systematically revised with the IGV software. Thresholds to discriminate putative germline variants were defined by scaling the VAF to a normal distribution and calculating the outliers that exceeded the mean + 3 median-adjusted deviations of a control population. Sanger sequencing of the outliers confirmed the occurrence of only one of the five putative indels in both tumour and blood from a patient with a family history of breast cancer. Our results indicated that the prevalence of homopolymeric indels overlooked by ion semiconductor techniques is seemingly low. A careful evaluation of clinical and family history data would further help minimise this technique-bound limitation, highlighting cases in which a deeper look at these regions would be recommended.
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Affiliation(s)
- Jacopo Azzollini
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
| | - Luca Agnelli
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
- Medical Oncology 1 Department, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
| | - Elena Conca
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
| | - Tommaso Torelli
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
- Medical Oncology 1 Department, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
| | - Adele Busico
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
| | - Iolanda Capone
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
| | - Marta Angelini
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
| | - Elena Tamborini
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
| | - Federica Perrone
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
| | - Andrea Vingiani
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
- Oncology and Hemato-Oncology Department, University of Milan, Milan, Italy
| | - Daniele Lorenzini
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
| | - Bernard Peissel
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
| | - Giancarlo Pruneri
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
- Oncology and Hemato-Oncology Department, University of Milan, Milan, Italy
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy.
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9
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Hamamoto R, Koyama T, Kouno N, Yasuda T, Yui S, Sudo K, Hirata M, Sunami K, Kubo T, Takasawa K, Takahashi S, Machino H, Kobayashi K, Asada K, Komatsu M, Kaneko S, Yatabe Y, Yamamoto N. Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information. Exp Hematol Oncol 2022; 11:82. [PMID: 36316731 PMCID: PMC9620610 DOI: 10.1186/s40164-022-00333-7] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 10/05/2022] [Indexed: 11/10/2022] Open
Abstract
Since U.S. President Barack Obama announced the Precision Medicine Initiative in his New Year's State of the Union address in 2015, the establishment of a precision medicine system has been emphasized worldwide, particularly in the field of oncology. With the advent of next-generation sequencers specifically, genome analysis technology has made remarkable progress, and there are active efforts to apply genome information to diagnosis and treatment. Generally, in the process of feeding back the results of next-generation sequencing analysis to patients, a molecular tumor board (MTB), consisting of experts in clinical oncology, genetic medicine, etc., is established to discuss the results. On the other hand, an MTB currently involves a large amount of work, with humans searching through vast databases and literature, selecting the best drug candidates, and manually confirming the status of available clinical trials. In addition, as personalized medicine advances, the burden on MTB members is expected to increase in the future. Under these circumstances, introducing cutting-edge artificial intelligence (AI) technology and information and communication technology to MTBs while reducing the burden on MTB members and building a platform that enables more accurate and personalized medical care would be of great benefit to patients. In this review, we introduced the latest status of elemental technologies that have potential for AI utilization in MTB, and discussed issues that may arise in the future as we progress with AI implementation.
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Affiliation(s)
- Ryuji Hamamoto
- grid.272242.30000 0001 2168 5385Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan ,grid.509456.bCancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027 Japan
| | - Takafumi Koyama
- grid.272242.30000 0001 2168 5385Department of Experimental Therapeutics, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan
| | - Nobuji Kouno
- grid.272242.30000 0001 2168 5385Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan ,grid.258799.80000 0004 0372 2033Department of Surgery, Graduate School of Medicine, Kyoto University, Yoshida-konoe-cho, Sakyo-ku, Kyoto, 606-8303 Japan
| | - Tomohiro Yasuda
- grid.272242.30000 0001 2168 5385Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan ,grid.417547.40000 0004 1763 9564Research and Development Group, Hitachi, Ltd., 1-280 Higashi-koigakubo, Kokubunji, Tokyo, 185-8601 Japan
| | - Shuntaro Yui
- grid.272242.30000 0001 2168 5385Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan ,grid.417547.40000 0004 1763 9564Research and Development Group, Hitachi, Ltd., 1-280 Higashi-koigakubo, Kokubunji, Tokyo, 185-8601 Japan
| | - Kazuki Sudo
- grid.272242.30000 0001 2168 5385Department of Experimental Therapeutics, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan ,grid.272242.30000 0001 2168 5385Department of Medical Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan
| | - Makoto Hirata
- grid.272242.30000 0001 2168 5385Department of Genetic Medicine and Services, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan
| | - Kuniko Sunami
- grid.272242.30000 0001 2168 5385Department of Laboratory Medicine, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan
| | - Takashi Kubo
- grid.272242.30000 0001 2168 5385Department of Laboratory Medicine, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan
| | - Ken Takasawa
- grid.272242.30000 0001 2168 5385Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan ,grid.509456.bCancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027 Japan
| | - Satoshi Takahashi
- grid.272242.30000 0001 2168 5385Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan ,grid.509456.bCancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027 Japan
| | - Hidenori Machino
- grid.272242.30000 0001 2168 5385Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan ,grid.509456.bCancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027 Japan
| | - Kazuma Kobayashi
- grid.272242.30000 0001 2168 5385Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan ,grid.509456.bCancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027 Japan
| | - Ken Asada
- grid.272242.30000 0001 2168 5385Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan ,grid.509456.bCancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027 Japan
| | - Masaaki Komatsu
- grid.272242.30000 0001 2168 5385Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan ,grid.509456.bCancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027 Japan
| | - Syuzo Kaneko
- grid.272242.30000 0001 2168 5385Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan ,grid.509456.bCancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027 Japan
| | - Yasushi Yatabe
- grid.272242.30000 0001 2168 5385Department of Diagnostic Pathology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan ,grid.272242.30000 0001 2168 5385Division of Molecular Pathology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan
| | - Noboru Yamamoto
- grid.272242.30000 0001 2168 5385Department of Experimental Therapeutics, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045 Japan
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