Evidence map›Paper›PMID 25742471›Full record

ArticleBritish journal of cancer2015

Assessing the clinical value of targeted massively parallel sequencing in a longitudinal, prospective population-based study of cancer patients.

S Q Wong, A Fellowes, K Doig, J Ellul, T J Bosma, D Irwin, R Vedururu, A Y-C Tan, J Weiss, K S Chan and 5 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in British journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 52 citations in OpenAlex.

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  9. Identification of a Combined RNA Prognostic Signature in Adenocarcinoma of the Lung.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
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  12. Implementation of genomic medicine for gastrointestinal tumors.Annals of gastroenterological surgery · 2018
    Review
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  15. Condition-specific or generic preference-based measures in oncology? A comparison of the EORTC-8D and the EQ-5D-3L.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
    Article
  16. Article
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  18. Big Data Analytics for Genomic Medicine.International journal of molecular sciences · 2017
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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

15 authors at 5 institutions in 2 countries.

S Q Wong1] Department of Pathology, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia [2] Division of Cancer Research, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, Victoria 3002, Australia.
A FellowesDepartment of Pathology, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia.
K Doig1] Division of Cancer Research, Department of Bioinformatics, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia [2] Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria 3010, Australia.
J EllulDivision of Cancer Research, Department of Bioinformatics, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia.
T J BosmaDepartment of Pathology, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia.
D IrwinAgena Bioscience, Herston, Brisbane 4006, Australia.
R VedururuDepartment of Pathology, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia.
A Y-C TanDepartment of Pathology, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia.
J WeissTranslational Genomics and Epigenomics Laboratory, Olivia Newton-John Cancer Research Institute, The Olivia Newton-John Cancer and Wellness Centre, Heidelberg, Victoria 3084, Australia.
K S ChanDepartment of Pathology, Singapore General Hospital, Singapore 169608, Singapore.
M LucasClinical Informatics and Data Management Unit, Alfred Centre, Monash University, Melbourne, Victoria 3004, Australia.
D M Thomas1] Division of Cancer Research, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, Victoria 3002, Australia [2] Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria 3010, Australia [3] The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Victoria Street, Darlinghurst, New South Wales 2010, Australia.
A Dobrovic1] Department of Pathology, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia [2] Division of Cancer Research, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, Victoria 3002, Australia [3] Translational Genomics and Epigenomics Laboratory, Olivia Newton-John Cancer Research Institute, The Olivia Newton-John Cancer and Wellness Centre, Heidelberg, Victoria 3084, Australia [4] Department of Pathology, The University of Melbourne, Parkville, Victoria 3010, Australia.
J P Parisot1] Division of Cancer Research, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, Victoria 3002, Australia [2] Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria 3010, Australia.
S B Fox1] Department of Pathology, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia [2] Division of Cancer Research, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, Victoria 3002, Australia [3] Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria 3010, Australia [4] Department of Pathology, The University of Melbourne, Parkville, Victoria 3010, Australia.
Peter MacCallum Cancer Centre · AUMonash University · AUOlivia Newton-John Cancer Wellness & Research Centre · AUSingapore General Hospital · SGUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecent discoveries in cancer research have revealed a plethora of clinically actionable mutations that provide therapeutic, prognostic and predictive benefit to patients. The feasibility of screening mutations as part of the routine clinical care of patients remains relatively unexplored as the demonstration of massively parallel sequencing (MPS) of tumours in the general population is required to assess its value towards the health-care system.

methodsCancer 2015 study is a large-scale, prospective, multisite cohort of newly diagnosed cancer patients from Victoria, Australia with 1094 patients recruited. MPS was performed using the Illumina TruSeq Amplicon Cancer Panel.

resultsOverall, 854 patients were successfully sequenced for 48 common cancer genes. Accurate determination of clinically relevant mutations was possible including in less characterised cancer types; however, technical limitations including formalin-induced sequencing artefacts were uncovered. Applying strict filtering criteria, clinically relevant mutations were identified in 63% of patients, with 26% of patients displaying a mutation with therapeutic implications. A subset of patients was validated for canonical mutations using the Agena Bioscience MassARRAY system with 100% concordance. Whereas the prevalence of mutations was consistent with other institutionally based series for some tumour streams (breast carcinoma and colorectal adenocarcinoma), others were different (lung adenocarcinoma and head and neck squamous cell carcinoma), which has significant implications for health economic modelling of particular targeted agents. Actionable mutations in tumours not usually thought to harbour such genetic changes were also identified.

conclusionsReliable delivery of a diagnostic assay able to screen for a range of actionable mutations in this cohort was achieved, opening unexpected avenues for investigation and treatment of cancer patients.

Indexed as

DNA Mutational AnalysisDNA, NeoplasmFemaleHigh-Throughput Nucleotide SequencingHumansLongitudinal StudiesMaleMutationNeoplasm ProteinsNeoplasmsProspective StudiesDNA, NeoplasmNeoplasm Proteins

Identifiers

PMID25742471
PMCPMC4402458
OpenAlexW2065249841

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.