Criteria-based curation of a therapy-focused compendium to support treatment recommendations in precision oncology Article Swipe
Frank Lin
,
Subotheni Thavaneswaran
,
John P. Grady
,
Mandy L. Ballinger
,
Maya Kansara
,
Samantha R. Oakes
,
Jayesh Desai
,
Chee Khoon Lee
,
John Simes
,
David M. Thomas
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1101/2020.12.18.20248521
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1101/2020.12.18.20248521
BACKGROUND While several key resources exist that interpret therapeutic significance of genomic alterations in cancer, many regional real-world issues limit access to drugs. There is a need for a pragmatic, evidence-based, context-adapted tool to guide clinical management based on molecular biomarkers. METHODS A compendium of approved and experimental therapies with associated biomarkers was built following a survey of drug regulatory databases, existing knowledge bases, and published literature. Each biomarker-disease-therapy triplet was then categorized using a tiering system reflective of key therapeutic considerations: approved and reimbursed standard-of-care therapies with respect to a jurisdiction (Tier 1), evidence of efficacy or approval in another jurisdiction (Tier 2), evidence of antitumour activity (Tier 3), and plausible biological rationale (Tier 4). Two resistance categories were defined: lack of efficacy (Tier R1), and lack of antitumor activity (Tier R2). RESULTS Following comprehensive literature review and appraisal, we developed a curated knowledge base focused on drugs relevant and accessible in the Australian healthcare system (TOPOGRAPH: Therapy Oriented Precision Oncology Guidelines for Recommending Anticancer Pharmaceuticals). As of November 2020, TOPOGRAPH comprised 2810 biomarker-disease-therapy triplets in 989 expert-appraised entries, including 373 therapies, 199 predictive biomarkers, and 106 cancer types. In the 345 biomarker-linked therapies catalogued, 84 (24%) and 65 (19%) therapies in contexts of different cancer types have Tier 1 and 2 designations respectively, while 271 (79%) therapies were supported by preclinical studies, early clinical trials, retrospective studies, or case series (Tiers 3 and 4). A total of 119 of 373 (33%) therapies associated with biomarkers of resistance were also catalogued. A clinical algorithm was also developed to support therapeutic decision-making using predictive biomarkers. This resource is accessible online at https://topograph.info/ . CONCLUSION TOPOGRAPH is intended to support oncologists with context-appropriate clinical decision-making– optimising selection and accessibility of the most appropriate targeted therapy for any given genomic biomarker. Our approach can be readily adapted to build jurisdiction-specific resources to standardise decision-making in precision oncology.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2020.12.18.20248521
- https://www.medrxiv.org/content/medrxiv/early/2020/12/23/2020.12.18.20248521.full.pdf
- OA Status
- green
- Cited By
- 4
- References
- 57
- Related Works
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- OpenAlex ID
- https://openalex.org/W3113572916
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3113572916Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2020.12.18.20248521Digital Object Identifier
- Title
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Criteria-based curation of a therapy-focused compendium to support treatment recommendations in precision oncologyWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-12-22Full publication date if available
- Authors
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Frank Lin, Subotheni Thavaneswaran, John P. Grady, Mandy L. Ballinger, Maya Kansara, Samantha R. Oakes, Jayesh Desai, Chee Khoon Lee, John Simes, David M. ThomasList of authors in order
- Landing page
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https://doi.org/10.1101/2020.12.18.20248521Publisher landing page
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https://www.medrxiv.org/content/medrxiv/early/2020/12/23/2020.12.18.20248521.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.medrxiv.org/content/medrxiv/early/2020/12/23/2020.12.18.20248521.full.pdfDirect OA link when available
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Compendium, Context (archaeology), Medicine, Precision oncology, Precision medicine, Biomarker, Cancer, Clinical trial, Disease, Oncology, Medical physics, Internal medicine, Pathology, Biology, Chemistry, Archaeology, Biochemistry, Paleontology, HistoryTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2024: 2, 2023: 2Per-year citation counts (last 5 years)
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57Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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