Evidence map›Paper›PMID 37408046›Full record

ArticleJournal of pharmaceutical policy and practice2023

Delivering the precision oncology paradigm: reduced R&D costs and greater return on investment through a companion diagnostic informed precision oncology medicines approach.

Raymond H Henderson, Declan French, Elaine Stewart, Dave Smart, Adam Idica, Sandra Redmond, Markus Eckstein, Jordan Clark, Richard Sullivan, Peter Keeling and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
13.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  7. Applications of artificial intelligence in drug discovery for neurological diseases.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 3 countries.

Raymond H HendersonPatrick G. Johnston Centre for Cancer Research, Queen's University, Belfast, UK. raymondhenderson@saluteminsights.com.ORCID http://orcid.org/0000-0002-2127-8533
Declan FrenchQueen's Management School, Queen's University Belfast, Belfast, UK.
Elaine StewartQueen's Management School, Queen's University Belfast, Belfast, UK.
Dave SmartDiaceutics PLC, Dataworks at Kings Hall Health and Wellbeing Park, Co Antrim, Belfast, BT9 6GW, UK.
Adam IdicaInovalon Inc., 4321 Collington Road, Bowie, MD, 20716, USA.
Sandra RedmondSalutem Insights Ltd, Clough, Portlaoise, Garryduff, R32 V653, Ireland.
Markus EcksteinInstitute of Pathology, University Hospital Erlangen, Erlangen, Germany.
Jordan ClarkDiaceutics PLC, Dataworks at Kings Hall Health and Wellbeing Park, Co Antrim, Belfast, BT9 6GW, UK.
Richard SullivanInstitute of Cancer Policy, School of Cancer Sciences, King's College London, London, UK.
Peter KeelingDiaceutics PLC, Dataworks at Kings Hall Health and Wellbeing Park, Co Antrim, Belfast, BT9 6GW, UK.
Mark LawlerPatrick G. Johnston Centre for Cancer Research, Queen's University, Belfast, UK.
Queen's University Belfast · GBBowie State University · USKing's College London · GBUniversitätsklinikum Erlangen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrecision oncology medicines represent a paradigm shift compared to non-precision oncology medicines in cancer therapy, in some situations delivering more clinical benefit, and potentially lowering healthcare costs. We determined whether employing a companion diagnostic (CDx) approach during oncology medicines development delivers effective therapies that are within the cost constraints of current health systems. R&D costs of developing a medicine are subject to debate, with average estimates ranging from $765 million (m) to $4.6 billion (b). Our aim was to determine whether precision oncology medicines are cheaper to bring from R&D to market; a secondary goal was to determine whether precision oncology medicines have a greater return on investment (ROI).

methodData on oncology medicines approved between 1997 and 2020 by the US Food and Drug Administration (FDA) were analysed from the Securities and Exchange Commission (SEC) filings. Data were compiled from 10-K, 10-Q, and 20-F financial performance filings on medicines' development costs through their R&D lifetime. Clinical trial data were split into clinical trial phases 1-3 and probability of success (POS) of trials was calculated, along with preclinical costs. Cost-of-capital (CoC) approach was applied and, if appropriate, a tax rebate was subtracted from the total.

resultsData on 42 precision and 29 non-precision oncology medicines from 56 companies listed by the National Cancer Institute which had complete data available were analysed. Estimated mean cost to deliver a new oncology medicine was $4.4b (95% CI, $3.6-5.2b). Costs to bring a precision oncology medicine to market were $1.1b less ($3.5b; 95% CI, $2.7-4.5b) compared to non-precision oncology medicines ($4.6b; 95% CI, $3.5-6.1b). The key driver of costs was POS of clinical trials, accounting for a difference of $591.3 m. Additional data analysis illustrated that there was a 27% increase in return on investment (ROI) of precision oncology medicines over non-precision oncology medicines.

conclusionOur results provide an accurate estimate of the R&D spend required to bring an oncology medicine to market. Deployment of a CDx at the earliest stage substantially lowers the cost associated with oncology medicines development, potentially making them available to more patients, while staying within the cost constraints of cancer health systems.

Identifiers

PMID37408046
PMCPMC10320864
OpenAlexW4383262845

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.