Literature DB >> 34250385

Global Implementation of Precision Oncology.

Clinton Yam1,2, Brigette B Y Ma3, Timothy A Yap4,5,6,7.   

Abstract

Entities:  

Mesh:

Year:  2021        PMID: 34250385      PMCID: PMC8232074          DOI: 10.1200/PO.21.00001

Source DB:  PubMed          Journal:  JCO Precis Oncol        ISSN: 2473-4284


× No keyword cloud information.
Advances in sequencing technologies have provided unprecedented insights into the molecular landscape of tumors. With next-generation sequencing (NGS), comprehensive molecular profiling of tumors can be generated expediently and at a fraction of the costs associated with traditional sequencing methods.[1] On the shoulders of these scientific advances in sequencing technology, genome-driven therapy has been pushed to the forefront of cancer medicine (precision oncology). Since cancer is a disease driven primarily by alterations in the genetic code,[2] it follows that identifying specific alterations driving the malignant process should fuel the development of novel therapeutic strategies. Therein lies the concept of precision oncology—an opportunity to personalize care, with the promise of greater efficacy with less toxicity for the individual patient. Indeed, for a number of patients, this dream has been fulfilled with the recent regulatory approvals of targeted and immuno-oncology agents in a histology agnostic setting, including the approval of the TRK inhibitor, larotrectinib, for patients with TRK fusion–positive solid tumors[3] and more recently the approval of pembrolizumab for patients with tumor mutational burden–high solid tumors.[4] Further, targeted therapies previously approved in a histology-specific setting, such as BRAF inhibitors in melanoma[5] and trastuzumab in human epidermal growth factor receptor 2 (HER2)–positive breast cancer,[6] have demonstrated promise in other tumor types harboring the relevant alterations, leading to regulatory approvals in these settings.[7,8] However, critics of precision oncology have questioned the cost-effectiveness of large-scale implementation of NGS as a means to improve outcomes for patients with cancer.[9-11] Indeed, rising healthcare costs are a significant concern, especially in countries with a universal health insurance system where budgetary limitations are an important consideration in care delivery. In this study, Seet et al enrolled 1,015 patients treated over a period of 6 years at the National Cancer Center Singapore on a prospective protocol for genomic profiling—the Individualized Molecular Profiling for Allocation to Clinical Trials (IMPACT) study (NCT02806388). A total of 1,064 NGS analyses were performed on the 1,015 enrolled patients, of which 38% (405/1,064) identified potentially actionable alterations. Of the 405 NGS analyses that identified potentially actionable alterations, 189 were formally discussed at a molecular tumor board (MTB), with 111 patients allocated to a clinical trial following the MTB. Among these 111 patients, 20 were eventually enrolled on a genomically matched clinical trial. Notably, an additional 33 patients were directly enrolled on genomically matched clinical trials without formal discussion at an MTB, for a total of 53 patients. As the authors acknowledge, key limitations of this study include the heterogeneity of NGS assays used and the single-center nature of this experience. The different NGS assays used in this study is an understandable consequence of the evolving molecular testing technologies taking place during the duration of the trial over which patients were enrolled. Although this study was conducted at a single center, the National Cancer Center Singapore is the largest cancer center in Singapore, an island city-state with a total population of 5.9 million. Most of Singapore’s health care is delivered through a government-run, publicly funded system where patients have a shared financial responsibility. Thus, a spike in healthcare costs will have a direct economic impact on patients and be closely scrutinized. Therefore, this study is timely and provides key data for relevant stakeholders to evaluate the feasibility of widespread implementation of precision oncology efforts in the local context. Table 1 summarizes the findings of similar efforts across the globe.[12-23] Briefly, all these studies primarily used DNA-based assays to identify actionable alterations in tumors from patients with advanced cancers who would then be matched to receive genomically matched therapies, mostly in the setting of a clinical trial. There is considerable variation in genomic matching rates across studies, with some studies reporting matching rates as low as 4% and others as high as 36% (Table 1). We believe that the observed variation in matching rates across studies is multifactorial, including differing definitions of what constitutes a match, timely availability of genomically matched studies, clinical fitness of the patient population for clinical trial enrollment, availability of bioinformatic support for variant annotation, and determination of clinical significance. In this study, the authors report a genomic matching rate of 5% (53/1,064), which is similar to a study performed at another academic institution in Singapore[20] but is lower when compared with similar studies across the globe (Table 1). Factors such as geographic variation in the prevalence of actionable alterations, technical differences in the assays used, and availability of genomically matched clinical trials are potential explanations for this disparity, and further studies are needed to elucidate this underlying variation.
TABLE 1.

Precision Oncology Efforts Across the Globe

Precision Oncology Efforts Across the Globe As significant efforts in distinct geographical areas are underway to enhance the clinical impact of precision oncology, several challenges remain. First, the type of tumor sample used can affect the results of genomic assays and have downstream effects on therapeutic decisions. In a study comparing mutation calls from whole-exome sequencing in matched fresh and archival melanoma tumor biospecimens, the concordance rate was only 43%.[24] The observed lack of concordance between archival and fresh biospecimens is likely to be because of a combination of poor quality DNA from archival specimens and temporal evolution of the molecular landscape of the tumor, due in part to selection pressure from intervening therapeutic efforts.[25] However, although using fresh biospecimens to identify actionable alterations is preferred in a precision oncology platform, logistical challenges frequently steer care providers and patients toward the use of archival tissue for molecular profiling. The recent emergence of plasma genotyping as a tool to obtain molecular information about the tumor provides an opportunity to obtain real-time genomic information about the tumor while avoiding the need for repeated invasive tumor biopsies. Indeed, the concordance between plasma and tissue genotyping has been reported to be 81% in patients with metastatic non–small-cell lung cancer.[26] Although plasma genotyping can overcome some challenges associated with tumor biopsies, detection of actionable alterations by plasma genotyping is dependent on tumor shedding, which is influenced by several factors including disease burden, tumor location, vascularity, and cellular turnover.[27-29] Indeed, such variations can lead to false-negative results and affect clinical decision making.[30-32] Thus, although we anticipate that plasma genotyping will develop an increasing footprint in longitudinal molecular profiling and change clinical practice, tissue genotyping will continue to be an integral part of precision oncology platforms until efforts to validate and overcome diagnostic limitations associated with plasma genotyping mature. Second, as evidenced by this and other studies in precision oncology (Table 1), emerging molecular assays are increasingly multiplexed, with more genes being sequenced at greater depth. Although this provides significantly greater information about the molecular profile of the tumor, clinical actionability is heavily dependent on having a robust and multidisciplinary precision oncology decision support system involving clinicians, bioinformaticians, pathologists, cancer biologists, and clinical trial support staff. Third, the cost-effectiveness of large-scale implementation of precision oncology platforms has yet to be established. In countries such as Singapore where patients bear a significant portion of healthcare costs, a thoughtful patient selection process for a precision oncology strategy will likely reduce the economic burden on patients and governmental funding agencies. For instance, extensive molecular profiling could be reserved for patients with adequate performance status and organ function for clinical trial enrollment. Although the costs of performing molecular assays will continue to fall in the coming years, personnel costs associated with analyzing the data may rise owing to increasing complexity. Thus, a measured approach to precision oncology is key to maintaining cost-effectiveness while maximizing clinical benefit for the individual patient. In conclusion, this study, along with others conducted in Asia and elsewhere, demonstrates the feasibility of implementing precision oncology efforts across diverse geographical settings. However, having adequate infrastructure and technology to support such an effort is only the first step. Furthermore, such efforts need to be supported by specialized centers with established phase I clinical trial programs equipped with the necessary critical mass of trials evaluating novel agents. Indeed, the promise of precision oncology is delivered only when patient outcomes are improved through the delivery of molecularly matched agents. Thus, a robust precision oncology decision support system needs to be developed in parallel with laboratory infrastructure to ensure accurate and timely analysis of increasingly complex molecular data derived from highly sophisticated assays in a patient-centered context. Finally, such initiatives need to be coupled with joint international collaborative efforts to drive the development of novel molecularly targeted and other agents in the setting of biomarker-driven trials, which is critical to fulfilling the ultimate goal of precision oncology for all patients across the globe.
  32 in total

1.  Improved survival with vemurafenib in melanoma with BRAF V600E mutation.

Authors:  Paul B Chapman; Axel Hauschild; Caroline Robert; John B Haanen; Paolo Ascierto; James Larkin; Reinhard Dummer; Claus Garbe; Alessandro Testori; Michele Maio; David Hogg; Paul Lorigan; Celeste Lebbe; Thomas Jouary; Dirk Schadendorf; Antoni Ribas; Steven J O'Day; Jeffrey A Sosman; John M Kirkwood; Alexander M M Eggermont; Brigitte Dreno; Keith Nolop; Jiang Li; Betty Nelson; Jeannie Hou; Richard J Lee; Keith T Flaherty; Grant A McArthur
Journal:  N Engl J Med       Date:  2011-06-05       Impact factor: 91.245

2.  Trastuzumab in combination with chemotherapy versus chemotherapy alone for treatment of HER2-positive advanced gastric or gastro-oesophageal junction cancer (ToGA): a phase 3, open-label, randomised controlled trial.

Authors:  Yung-Jue Bang; Eric Van Cutsem; Andrea Feyereislova; Hyun C Chung; Lin Shen; Akira Sawaki; Florian Lordick; Atsushi Ohtsu; Yasushi Omuro; Taroh Satoh; Giuseppe Aprile; Evgeny Kulikov; Julie Hill; Michaela Lehle; Josef Rüschoff; Yoon-Koo Kang
Journal:  Lancet       Date:  2010-08-19       Impact factor: 79.321

Review 3.  Phase I trials and therapeutic intent in the age of precision oncology: What is a patient's chance of response?

Authors:  Derrick L Tao; Thomas Kartika; Audrey Tran; Vinay Prasad
Journal:  Eur J Cancer       Date:  2020-09-18       Impact factor: 9.162

4.  Efficacy of Larotrectinib in TRK Fusion-Positive Cancers in Adults and Children.

Authors:  Alexander Drilon; Theodore W Laetsch; Shivaani Kummar; Steven G DuBois; Ulrik N Lassen; George D Demetri; Michael Nathenson; Robert C Doebele; Anna F Farago; Alberto S Pappo; Brian Turpin; Afshin Dowlati; Marcia S Brose; Leo Mascarenhas; Noah Federman; Jordan Berlin; Wafik S El-Deiry; Christina Baik; John Deeken; Valentina Boni; Ramamoorthy Nagasubramanian; Matthew Taylor; Erin R Rudzinski; Funda Meric-Bernstam; Davendra P S Sohal; Patrick C Ma; Luis E Raez; Jaclyn F Hechtman; Ryma Benayed; Marc Ladanyi; Brian B Tuch; Kevin Ebata; Scott Cruickshank; Nora C Ku; Michael C Cox; Douglas S Hawkins; David S Hong; David M Hyman
Journal:  N Engl J Med       Date:  2018-02-22       Impact factor: 91.245

Review 5.  Precision oncology: origins, optimism, and potential.

Authors:  Vinay Prasad; Tito Fojo; Michael Brada
Journal:  Lancet Oncol       Date:  2016-02       Impact factor: 41.316

6.  Feasibility of Large-Scale Genomic Testing to Facilitate Enrollment Onto Genomically Matched Clinical Trials.

Authors:  Funda Meric-Bernstam; Lauren Brusco; Kenna Shaw; Chacha Horombe; Scott Kopetz; Michael A Davies; Mark Routbort; Sarina A Piha-Paul; Filip Janku; Naoto Ueno; David Hong; John De Groot; Vinod Ravi; Yisheng Li; Raja Luthra; Keyur Patel; Russell Broaddus; John Mendelsohn; Gordon B Mills
Journal:  J Clin Oncol       Date:  2015-05-26       Impact factor: 44.544

7.  Personalized medicine in a phase I clinical trials program: the MD Anderson Cancer Center initiative.

Authors:  Apostolia-Maria Tsimberidou; Nancy G Iskander; David S Hong; Jennifer J Wheler; Gerald S Falchook; Siqing Fu; Sarina Piha-Paul; Aung Naing; Filip Janku; Rajyalakshmi Luthra; Yang Ye; Sijin Wen; Donald Berry; Razelle Kurzrock
Journal:  Clin Cancer Res       Date:  2012-09-10       Impact factor: 12.531

8.  Association of tumour mutational burden with outcomes in patients with advanced solid tumours treated with pembrolizumab: prospective biomarker analysis of the multicohort, open-label, phase 2 KEYNOTE-158 study.

Authors:  Aurélien Marabelle; Marwan Fakih; Juanita Lopez; Manisha Shah; Ronnie Shapira-Frommer; Kazuhiko Nakagawa; Hyun Cheol Chung; Hedy L Kindler; Jose A Lopez-Martin; Wilson H Miller; Antoine Italiano; Steven Kao; Sarina A Piha-Paul; Jean-Pierre Delord; Robert R McWilliams; David A Fabrizio; Deepti Aurora-Garg; Lei Xu; Fan Jin; Kevin Norwood; Yung-Jue Bang
Journal:  Lancet Oncol       Date:  2020-09-10       Impact factor: 41.316

9.  Clinical sequencing using a next-generation sequencing-based multiplex gene assay in patients with advanced solid tumors.

Authors:  Tadayuki Kou; Masashi Kanai; Yoshihiro Yamamoto; Mayumi Kamada; Masahiko Nakatsui; Tomohiro Sakuma; Hiroaki Mochizuki; Akinori Hiroshima; Aiko Sugiyama; Eijiro Nakamura; Hidehiko Miyake; Sachiko Minamiguchi; Kyoichi Takaori; Shigemi Matsumoto; Hironori Haga; Hiroshi Seno; Shinji Kosugi; Yasushi Okuno; Manabu Muto
Journal:  Cancer Sci       Date:  2017-05-22       Impact factor: 6.716

10.  Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients.

Authors:  Ahmet Zehir; Ryma Benayed; Ronak H Shah; Aijazuddin Syed; Sumit Middha; Hyunjae R Kim; Preethi Srinivasan; Jianjiong Gao; Debyani Chakravarty; Sean M Devlin; Matthew D Hellmann; David A Barron; Alison M Schram; Meera Hameed; Snjezana Dogan; Dara S Ross; Jaclyn F Hechtman; Deborah F DeLair; JinJuan Yao; Diana L Mandelker; Donavan T Cheng; Raghu Chandramohan; Abhinita S Mohanty; Ryan N Ptashkin; Gowtham Jayakumaran; Meera Prasad; Mustafa H Syed; Anoop Balakrishnan Rema; Zhen Y Liu; Khedoudja Nafa; Laetitia Borsu; Justyna Sadowska; Jacklyn Casanova; Ruben Bacares; Iwona J Kiecka; Anna Razumova; Julie B Son; Lisa Stewart; Tessara Baldi; Kerry A Mullaney; Hikmat Al-Ahmadie; Efsevia Vakiani; Adam A Abeshouse; Alexander V Penson; Philip Jonsson; Niedzica Camacho; Matthew T Chang; Helen H Won; Benjamin E Gross; Ritika Kundra; Zachary J Heins; Hsiao-Wei Chen; Sarah Phillips; Hongxin Zhang; Jiaojiao Wang; Angelica Ochoa; Jonathan Wills; Michael Eubank; Stacy B Thomas; Stuart M Gardos; Dalicia N Reales; Jesse Galle; Robert Durany; Roy Cambria; Wassim Abida; Andrea Cercek; Darren R Feldman; Mrinal M Gounder; A Ari Hakimi; James J Harding; Gopa Iyer; Yelena Y Janjigian; Emmet J Jordan; Ciara M Kelly; Maeve A Lowery; Luc G T Morris; Antonio M Omuro; Nitya Raj; Pedram Razavi; Alexander N Shoushtari; Neerav Shukla; Tara E Soumerai; Anna M Varghese; Rona Yaeger; Jonathan Coleman; Bernard Bochner; Gregory J Riely; Leonard B Saltz; Howard I Scher; Paul J Sabbatini; Mark E Robson; David S Klimstra; Barry S Taylor; Jose Baselga; Nikolaus Schultz; David M Hyman; Maria E Arcila; David B Solit; Marc Ladanyi; Michael F Berger
Journal:  Nat Med       Date:  2017-05-08       Impact factor: 53.440

View more
  2 in total

1.  SEOM-GETTHI clinical guideline for the practical management of molecular platforms (2021).

Authors:  Juan de la Haba-Rodriguez; Ferran Ferragut Lloret; Maria Angeles Vaz Salgado; Martín Oré Arce; Ana Cardeña Gutiérrez; Jesús García-Donas Jiménez; Carmen Beato Zambrano; Rosa María Rodríguez Alonso; Rafael López López; Nuria Rodriguez Salas
Journal:  Clin Transl Oncol       Date:  2022-04-01       Impact factor: 3.405

2.  The economic value of liquid biopsy for genomic profiling in advanced non-small cell lung cancer.

Authors:  Doreen A Ezeife; Eldon Spackman; Rosalyn A Juergens; Janessa J Laskin; Jason S Agulnik; Desiree Hao; Scott A Laurie; Jennifer H Law; Lisa W Le; Lesli A Kiedrowski; Barbara Melosky; Frances A Shepherd; Victor Cohen; Paul Wheatley-Price; Rachel Vandermeer; Janice J Li; Roxanne Fernandes; Aria Shokoohi; Richard B Lanman; Natasha B Leighl
Journal:  Ther Adv Med Oncol       Date:  2022-07-26       Impact factor: 5.485

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.