Evidence map›Paper›PMID 30042065›Full record

Trial reportThe lancet. Gastroenterology & hepatology2018

Mutation burden and other molecular markers of prognosis in colorectal cancer treated with curative intent: results from the QUASAR 2 clinical trial and an Australian community-based series.

Enric Domingo, Carme Camps, Pamela J Kaisaki, Marie J Parsons, Dmitri Mouradov, Melissa M Pentony, Seiko Makino, Michelle Palmieri, Robyn L Ward, Nicholas J Hawkins and 19 more

Open access · hybridAbstract readClinical Trial, Phase IIIRandomized Controlled Trial
In one paragraph

Trial report in The lancet. Gastroenterology & hepatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 7 pooled it
7.0field-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

47 citing papers in PubMed, 7 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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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

29 authors at 11 institutions in 3 countries.

Enric DomingoOxford Centre for Cancer Gene Research, Wellcome Trust Centre for Human Genetics, Oxford, UK; Genomic Medicine Theme, National Institute for Health Research Oxford Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, Oxford, UK; Department of Oncology, University of Oxford, Oxford, UK. Electronic address: enric.domingo@oncology.ox.ac.uk.
Carme CampsGenomic Medicine Theme, National Institute for Health Research Oxford Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, Oxford, UK.
Pamela J KaisakiGenomic Medicine Theme, National Institute for Health Research Oxford Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, Oxford, UK.
Marie J ParsonsSystems Biology and Personalised Medicine Division, Walter and Eliza Hall Institute of Medial Research, Parkville, VIC, Australia; Department of Surgery, University of Melbourne, Parkville, VIC, Australia.
Dmitri MouradovSystems Biology and Personalised Medicine Division, Walter and Eliza Hall Institute of Medial Research, Parkville, VIC, Australia; Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia.
Melissa M PentonyGenomic Medicine Theme, National Institute for Health Research Oxford Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, Oxford, UK.
Seiko MakinoOxford Centre for Cancer Gene Research, Wellcome Trust Centre for Human Genetics, Oxford, UK.
Michelle PalmieriSystems Biology and Personalised Medicine Division, Walter and Eliza Hall Institute of Medial Research, Parkville, VIC, Australia; Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia.
Robyn L WardOffice of the Deputy Vice-Chancellor (Research), University of Queensland, Brisbane, QLD, Australia.
Nicholas J HawkinsFaculty of Medicine, University of Queensland, Brisbane, QLD, Australia.
Peter GibbsSystems Biology and Personalised Medicine Division, Walter and Eliza Hall Institute of Medial Research, Parkville, VIC, Australia; Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia; Department of Medical Oncology, Royal Melbourne Hospital, Parkville, VIC, Australia.
Hanne AskautrudInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.
Dahmane OukrifDepartment of Histopathology, University College London, London, UK.
Haitao WangDepartment of Oncology, University of Oxford, Oxford, UK.
Joe WoodThermo Fisher Scientific, Paisley, UK.
Evie TomlinsonDepartment of Oncology, University of Oxford, Oxford, UK.
Yasmine BarkDepartment of Oncology, University of Oxford, Oxford, UK.
Kulvinder KaurGenomic Medicine Theme, National Institute for Health Research Oxford Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, Oxford, UK.
Elaine C JohnstoneDepartment of Oncology, University of Oxford, Oxford, UK.
Claire PallesOxford Centre for Cancer Gene Research, Wellcome Trust Centre for Human Genetics, Oxford, UK.
David N ChurchOxford Centre for Cancer Gene Research, Wellcome Trust Centre for Human Genetics, Oxford, UK; Genomic Medicine Theme, National Institute for Health Research Oxford Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, Oxford, UK.
Marco NovelliDepartment of Histopathology, University College London, London, UK.
Havard E DanielsenInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway; Nuffield Department of Clinical and Laboratory Science, Radcliffe Department of Medicine, John Radcliffe Hospital, Oxford, UK.
Jon SherlockThermo Fisher Scientific, Paisley, UK.
David KerrNuffield Department of Clinical and Laboratory Science, Radcliffe Department of Medicine, John Radcliffe Hospital, Oxford, UK.
Rachel KerrDepartment of Oncology, University of Oxford, Oxford, UK.
Oliver SieberSystems Biology and Personalised Medicine Division, Walter and Eliza Hall Institute of Medial Research, Parkville, VIC, Australia; Department of Surgery, University of Melbourne, Parkville, VIC, Australia; Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia; School of Biomedical Sciences, Monash University, Clayton, VIC, Australia.
Jenny C TaylorGenomic Medicine Theme, National Institute for Health Research Oxford Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, Oxford, UK.
Ian TomlinsonOxford Centre for Cancer Gene Research, Wellcome Trust Centre for Human Genetics, Oxford, UK; Genomic Medicine Theme, National Institute for Health Research Oxford Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, Oxford, UK; Cancer Genetics and Evolution Laboratory, Institute of Cancer and Genomic Sciences, University of Birmingham, Edgbaston, Birmingham, UK.
National Institute for Health Research · GBUniversity of Oxford · GBCentre for Human Genetics · GBWalter and Eliza Hall Institute of Medical Research · AUOslo University Hospital · NOThermo Fisher Scientific (United Kingdom) · GBUniversity College London · GBUniversity of Melbourne · AUUniversity of Queensland · AUJohn Radcliffe Hospital · GBUniversity of Birmingham · GB

Funding

Cancer Research UK 16459Medical Research Council
6 · The paper itself

Abstract

backgroundMolecular indicators of colorectal cancer prognosis have been assessed in several studies, but most analyses have been restricted to a handful of markers. We aimed to identify prognostic biomarkers for colorectal cancer by sequencing panels of multiple driver genes.

methodsIn stage II or III colorectal cancers from the QUASAR 2 open-label randomised phase 3 clinical trial and an Australian community-based series, we used targeted next-generation sequencing of 82 and 113 genes, respectively, including the main colorectal cancer drivers. We investigated molecular pathways of tumorigenesis, and analysed individual driver gene mutations, combinations of mutations, or global measures such as microsatellite instability (MSI) and mutation burden (total number of non-synonymous mutations and coding indels) for associations with relapse-free survival in univariable and multivariable models, principally Cox proportional hazards models.

findingsIn QUASAR 2 (511 tumours), TP53, KRAS, BRAF, and GNAS mutations were independently associated with shorter relapse-free survival (p<0·035 in all cases), and total somatic mutation burden with longer survival (hazard ratio [HR] 0·81 [95% CI 0·68-0·96]; p=0·014). MSI was not independently associated with survival (HR 1·12 [95% CI 0·57-2·19]; p=0·75). We successfully validated these associations in the Australian sample set (296 tumours). In a combined analysis of both the QUASAR 2 and the Australian sample sets, mutation burden was also associated with longer survival (HR 0·84 [95% CI 0·74-0·94]; p=0·004) after exclusion of MSI-positive and POLE mutant tumours. In an extended analysis of 1732 QUASAR 2 and Australian colorectal cancers for which KRAS, BRAF, and MSI status were available, KRAS and BRAF mutations were specifically associated with poor prognosis in MSI-negative cancers. MSI-positive cancers with KRAS or BRAF mutations had better prognosis than MSI-negative cancers that were wild-type for KRAS or BRAF. Mutations in the genes NF1 and NRAS from the MAPK pathway co-occurred, and mutations in the DNA damage-response genes TP53 and ATM were mutually exclusive. We compared a prognostic model based on the gold standard of clinicopathological variables and MSI with our new model incorporating clinicopathological variables, mutation burden, and driver mutations in KRAS, BRAF, and TP53. In both QUASAR 2 and the Australian cohort, our new model was significantly better (p=0·00004 and p=0·0057, respectively, based on a likelihood ratio test).

interpretationMultigene panels identified two previously unreported prognostic associations in colorectal cancer involving TP53 mutation and total mutation burden, and confirmed associations with KRAS and BRAF. Even a modest-sized gene panel can provide important information for use in clinical practice and outperform MSI-based prognostic models.

fundingUK Technology Strategy Board, National Institute for Health Research Oxford Biomedical Research Centre, Cancer Australia Project, Cancer Council Victoria, Ludwig Institute for Cancer Research, Victorian Government.

Indexed as

Biomarkers, TumorMutationAustraliaColorectal NeoplasmsGene Drive TechnologyHumansNeoplasm StagingPrognosisSequence Analysis, DNABiomarkers, Tumor

Identifiers

PMID30042065
PMCPMC6088509
OpenAlexW2811502909

What OpenQuestion holds

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LicenceCC BY
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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.