Evidence map›Paper›PMID 36443366›Full record

SynthesisScientific reports2022

A scoping review and meta-analysis on the prevalence of pan-tumour biomarkers (dMMR, MSI, high TMB) in different solid tumours.

Yoon-Jung Kang, Sophie O'Haire, Fanny Franchini, Maarten IJzerman, John Zalcberg, Finlay Macrae, Karen Canfell, Julia Steinberg

Open access · goldAbstract readMeta-AnalysisScoping Review
In one paragraph

Synthesis in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
10.1field-weighted citation impact, top 1% 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

64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Review
  8. Review
  9. Article
  10. Research progress in diagnosis and treatment of pancreatic cancer with mismatch repair and microsatellite instability.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  11. Article
  12. Tumor cell intrinsic mechanisms of immune escape.Cell communication and signaling : CCS · 2026
    Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Multi-omics analysis linksTranslational cancer research · 2026
    Article
  18. Article
  19. Article
  20. Review

4 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 1 country.

Yoon-Jung KangThe Daffodil Centre, The University of Sydney, a Joint Venture with Cancer Council NSW, Sydney, NSW, 2060, Australia.
Sophie O'HaireCancer Health Services Research, Centre for Health Policy, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC, 3053, Australia.
Fanny FranchiniCancer Health Services Research, Centre for Health Policy, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC, 3053, Australia.
Maarten IJzermanCancer Health Services Research, Centre for Health Policy, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC, 3053, Australia.
John ZalcbergDepartment of Medical Oncology, Alfred Health and School of Public Health and Preventive Medicine, Faculty of Medicine, Monash University, Melbourne, VIC, 3004, Australia.
Finlay MacraeColorectal Medicine and Genetics, and Department of Medicine, University of Melbourne, The Royal Melbourne Hospital, Parkville, VIC, 3050, Australia.
Karen CanfellThe Daffodil Centre, The University of Sydney, a Joint Venture with Cancer Council NSW, Sydney, NSW, 2060, Australia.
Julia SteinbergThe Daffodil Centre, The University of Sydney, a Joint Venture with Cancer Council NSW, Sydney, NSW, 2060, Australia. julia.steinberg@nswcc.org.au.
Cancer Council NSW · AUUniversity of Melbourne · AUAlfred Health · AUPeter MacCallum Cancer Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors have been approved in the USA for tumours exhibiting mismatch repair deficiency (dMMR), microsatellite instability (MSI), or high tumour mutational burden (TMB), with regulatory and reimbursement applications in multiple other countries underway. As the estimated budget impacts of future reimbursements depend on the size of the potential target population, we performed a scoping review and meta-analysis of the prevalence of these pan-tumour biomarkers in different cancers. We systematically searched Medline/Embase and included studies reporting the prevalence of dMMR/MSI/high TMB in solid tumours published 01/01/2018-31/01/2021. Meta-analyses were performed separately for the pan-cancer prevalence of each biomarker, and by cancer type and stage where possible. The searches identified 3890 papers, with 433 prevalence estimates for 32 different cancer types from 201 studies included in meta-analyses. The pooled overall prevalence of dMMR, MSI and high TMB (≥ 10 mutations/Mb) in pan-cancer studies was 2.9%, 2.7% and 14.0%, respectively. The prevalence profiles of dMMR/MSI and high TMB differed across cancer types. For example, endometrial, colorectal, small bowel and gastric cancers showed high prevalence of both dMMR and MSI (range: 8.7-26.8% and 8.5-21.9%, respectively) and high TMB (range: 8.5-43.0%), while cervical, esophageal, bladder/urothelial, lung and skin cancers showed low prevalence of dMMR and MSI (< 5%), but high prevalence of high TMB (range: 23.7-52.6%). For other cancer types, prevalence of all three biomarkers was generally low (< 5%). This structured review of dMMR/MSI/high TMB prevalence across cancers and for specific cancer types and stages provide timely evidence to inform budget impact forecasts in health technology assessments for drug approvals based on these pan-tumour biomarkers.

Indexed as

Microsatellite InstabilitySkin NeoplasmsBiomarkers, TumorHumansImmune Checkpoint InhibitorsPrevalenceBiomarkers, TumorImmune Checkpoint Inhibitors

Identifiers

PMID36443366
PMCPMC9705554
OpenAlexW4310171726

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.