Evidence map›Paper›PMID 35256486›Full record

ArticleJournal of clinical pathology2023

FOCUS4 biomarker laboratories: from the benefits to the practical and logistical issues faced during 6 years of centralised testing.

Susan D Richman, Gemma Hemmings, Helen Roberts, Niall Gallop, Rachel Dodds, Lyndsay Wilkinson, Jonathan Davis, Rhian White, Emma Yates, Bharat Jasani and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Heterogeneity in precision oncology.Cambridge prisms. Precision medicine · 2024
    Review
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

15 authors at 5 institutions in 1 country.

Susan D RichmanLeeds Institute on Medical Research, University of Leeds, Leeds, UK s.d.richman@leeds.ac.uk.ORCID http://orcid.org/0000-0003-3993-5041
Gemma HemmingsLeeds Institute on Medical Research, University of Leeds, Leeds, UK.
Helen RobertsAll Wales Molecular Genetics Laboratory, All Wales Medical Genetics Service, University Hospital of Wales, Cardiff, UK.
Niall GallopLeeds Institute on Medical Research, University of Leeds, Leeds, UK.
Rachel DoddsAll Wales Molecular Genetics Laboratory, All Wales Medical Genetics Service, University Hospital of Wales, Cardiff, UK.
Lyndsay WilkinsonLeeds Institute on Medical Research, University of Leeds, Leeds, UK.
Jonathan DavisLeeds Institute on Medical Research, University of Leeds, Leeds, UK.
Rhian WhiteAll Wales Molecular Genetics Laboratory, All Wales Medical Genetics Service, University Hospital of Wales, Cardiff, UK.
Emma YatesMRC Clinical Trials Unit at UCL, London, UK.
Bharat JasaniTARGOS Molecular Pathology GmbH, Kassel, Germany.
Louise BrownMRC Clinical Trials Unit at UCL, London, UK.
Tim S MaughanMRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, UK.
Rachel ButlerAll Wales Molecular Genetics Laboratory, All Wales Medical Genetics Service, University Hospital of Wales, Cardiff, UK.
Philip QuirkeLeeds Institute on Medical Research, University of Leeds, Leeds, UK.
Richard AdamsVelindre Cancer Centre, Cardiff University, Cardiff, UK.
University of Leeds · GBUniversity Hospital of Wales · GBMRC Clinical Trials Unit at UCL · GBUniversity of Oxford · GBVelindre Cancer Centre · GB

Funding

Cancer Research UK 25350Department of Health 11/100/50Medical Research Council MC_UU_00004/01Medical Research Council MC_UU_00004/02Medical Research Council MC_UU_00004/08Medical Research Council MC_UU_12023/20
6 · The paper itself

Abstract

aimsFOCUS4 was a phase II/III umbrella trial, recruiting patients with advanced or metastatic colorectal cancer, between 2014 and 2020. Molecular profiling of patients' formalin-fixed, paraffin-embedded tumour blocks was undertaken at two centralised biomarker laboratories (Leeds and Cardiff), and the results fed directly to the Medical Research Council Clinical Trials Unit, and used for subsequent randomisation. Here the laboratories discuss their experiences.

methodsFollowing successful tumour content assessment, blocks were sectioned for DNA extraction and immunohistochemistry (IHC). Pyrosequencing was initially used to determine tumour mutation status (KRAS, NRAS, BRAF and PIK3CA), then from 2018 onwards, next-generation sequencing was employed to allow the inclusion of TP53. Protein expression of MLH1, MSH2, MSH6, PMS2 and pTEN was determined by IHC. An interlaboratory comparison programme was initiated, allowing sample exchanges, to ensure continued assay robustness.

results1291 tumour samples were successfully analysed. Assay failure rates were very low; 1.9%-3.3% for DNA sequencing and 0.9%-1.3% for IHC. Concordance rates of

conclusionsPractical and logistical problems were identified, including poor sample quality and difficulties with sample anonymisation. The often last-minute receipt of a sample for testing and a lack of integration with National Health Service mutation analysis services were challenging. The laboratories benefitted from both pretrial validations and interlaboratory comparisons, resulting in robust assay development and provided confidence during the implementation of new sequencing technologies. We conclude that our centralised approach to biomarker testing in FOCUS4 was effective and successful.

Indexed as

Colorectal NeoplasmsBiomarkers, TumorHumansLaboratoriesMutationProto-Oncogene Proteins B-rafState MedicineBiomarkers, TumorProto-Oncogene Proteins B-rafbiomarkers, tumorcolorectal cancerimmunohistochemistry

Identifiers

PMID35256486
PMCPMC7614788
OpenAlexW4221083840

What OpenQuestion holds

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Registered trials

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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.