Evidence map›Paper›PMID 40172779›Full record

SynthesisApplied health economics and health policy2025

The Cost Effectiveness of Genomic Medicine in Cancer Control: A Systematic Literature Review.

Mackenzie Bourke, Aideen McInerney-Leo, Julia Steinberg, Tiffany Boughtwood, Vivienne Milch, Anna Laura Ross, Elena Ambrosino, Kim Dalziel, Fanny Franchini, Li Huang and 3 more

Abstract readSystematic Review
In one paragraph

Synthesis in Applied health economics and health policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
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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

13 authors.

Mackenzie BourkeEconomics of Genomics and Precision Medicine Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3053, Australia.ORCID 0000-0001-7870-9771
Aideen McInerney-LeoFrazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, QLD, Australia.
Julia SteinbergThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.
Tiffany BoughtwoodAustralian Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Vivienne MilchCancer Australia, Sydney, NSW, Australia.
Anna Laura RossScience Division, World Health Organization, Geneva, Switzerland.
Elena AmbrosinoScience Division, World Health Organization, Geneva, Switzerland.
Kim DalzielChild Health Economics Unit, School of Population and Global Health, Centre for Health Policy, University of Melbourne, MelbourneMelbourne, VIC, Australia.
Fanny FranchiniFaculty of Medicine, Dentistry and Health Sciences, Cancer Health Services Research, Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
Li HuangChild Health Economics Unit, School of Population and Global Health, Centre for Health Policy, University of Melbourne, MelbourneMelbourne, VIC, Australia.
Riccarda PetersEconomics of Genomics and Precision Medicine Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3053, Australia.
Francisco Santos GonzalezEconomics of Genomics and Precision Medicine Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3053, Australia.
Ilias GoranitisEconomics of Genomics and Precision Medicine Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3053, Australia. ilias.goranitis@unimelb.edu.au.

Funding

World Health Organization 001
6 · The paper itself

Abstract

BACKGROUND AND

objectiveGenomic medicine offers an unprecedented opportunity to improve cancer outcomes through prevention, early detection and precision therapy. Health policy makers worldwide are developing strategies to embed genomic medicine in routine cancer care. Successful translation of genomic medicine, however, remains slow. This systematic review aims to identify and synthesise published evidence on the cost effectiveness of genomic medicine in cancer control. The insights could support efforts to accelerate access to cost-effective applications of human genomics.

methodsThe study protocol was registered with PROSPERO (CRD42024480842), and the review was conducted in line with Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) Guidelines. The search was run in four databases: MEDLINE, Embase, CINAHL and EconLit. Full economic evaluations of genomic technologies at any stage of cancer care, and published after 2018 and in English, were included for data extraction.

resultsThe review identified 137 articles that met the inclusion criteria. Most economic evaluations focused on the prevention and early detection stage (n = 44; 32%), the treatment stage (n = 36; 26%), and managing relapsed, refractory or progressive disease (n = 51, 37%). Convergent cost-effectiveness evidence was identified for the prevention and early detection of breast and ovarian cancer, and for colorectal and endometrial cancers. For cancer treatment, the use of genomic testing for guiding therapy was highly likely to be cost effective for breast and blood cancers. Studies reported that genomic medicine was cost effective for advanced and metastatic non-small cell lung cancer. There was insufficient or mixed evidence regarding the cost effectiveness of genomic medicine in the management of other cancers.

conclusionsThis review mapped out the cost-effectiveness evidence of genomic medicine across the cancer care continuum. Gaps in the literature mean that potentially cost-effective uses of genomic medicine in cancer control, for example rare cancers or cancers of unknown primary, may be being overlooked. Evidence on the value of information and budget impact are critical, and advancements in methods to include distributional effects, system capacity and consumer preferences will be valuable. Expanding the current cost-effectiveness evidence base is essential to enable the sustainable and equitable translation of genomic medicine.

Indexed as

Cost-Benefit AnalysisGenomicsNeoplasmsPrecision MedicineCost-Effectiveness AnalysisHumans

Identifiers

PMID40172779
PMCPMC12053027

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.