Evidence map›Paper›PMID 32087721›Full record

ArticleJournal of translational medicine2020

Identification and clinical impact of potentially actionable somatic oncogenic mutations in solid tumor samples.

Sinead Toomey, Aoife Carr, Mateusz Janusz Mezynski, Yasir Elamin, Shereen Rafee, Mattia Cremona, Clare Morgan, Stephen Madden, Khairun I Abdul-Jalil, Kathy Gately and 18 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

10 citing papers in PubMed, 18 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

28 authors at 7 institutions in 2 countries.

Sinead ToomeyMedical Oncology Lab, Department of Molecular Medicine, Royal College of Surgeons in Ireland, RCSI Smurfit Building, Beaumont Hospital, Dublin, Ireland. sineadtoomey@rcsi.ie.ORCID 0000-0002-1365-8173
Aoife CarrMedical Oncology Lab, Department of Molecular Medicine, Royal College of Surgeons in Ireland, RCSI Smurfit Building, Beaumont Hospital, Dublin, Ireland.
Mateusz Janusz MezynskiMedical Oncology Lab, Department of Molecular Medicine, Royal College of Surgeons in Ireland, RCSI Smurfit Building, Beaumont Hospital, Dublin, Ireland.
Yasir ElaminMedical Oncology Lab, Department of Molecular Medicine, Royal College of Surgeons in Ireland, RCSI Smurfit Building, Beaumont Hospital, Dublin, Ireland.
Shereen RafeeDepartment of Medical Oncology, St. James's Hospital Dublin, Dublin, Ireland.
Mattia CremonaMedical Oncology Lab, Department of Molecular Medicine, Royal College of Surgeons in Ireland, RCSI Smurfit Building, Beaumont Hospital, Dublin, Ireland.
Clare MorganMedical Oncology Lab, Department of Molecular Medicine, Royal College of Surgeons in Ireland, RCSI Smurfit Building, Beaumont Hospital, Dublin, Ireland.
Stephen MaddenData Science Centre, Royal College of Surgeons in Ireland, Dublin, Ireland.
Khairun I Abdul-JalilMedical Oncology Lab, Department of Molecular Medicine, Royal College of Surgeons in Ireland, RCSI Smurfit Building, Beaumont Hospital, Dublin, Ireland.
Kathy GatelyDepartment of Medical Oncology, St. James's Hospital Dublin, Dublin, Ireland.
Angela FarrellyMedical Oncology Lab, Department of Molecular Medicine, Royal College of Surgeons in Ireland, RCSI Smurfit Building, Beaumont Hospital, Dublin, Ireland.
Elaine W KayDepartment of Pathology, Royal College of Surgeons in Ireland, Dublin, Ireland.
Susan KennedyDepartment of Pathology, St. Vincent's University Hospital, Dublin, Ireland.
Kenneth O'ByrneDepartment of Medical Oncology, St. James's Hospital Dublin, Dublin, Ireland.
Liam GroganDepartment of Medical Oncology, Beaumont Hospital, Dublin, Ireland.
Oscar BreathnachDepartment of Medical Oncology, Beaumont Hospital, Dublin, Ireland.
Patrick G MorrisDepartment of Medical Oncology, Beaumont Hospital, Dublin, Ireland.
Alexander J EustaceMedical Oncology Lab, Department of Molecular Medicine, Royal College of Surgeons in Ireland, RCSI Smurfit Building, Beaumont Hospital, Dublin, Ireland.
Joanna FayDepartment of Pathology, Royal College of Surgeons in Ireland, Dublin, Ireland.
Robert CumminsDepartment of Pathology, Royal College of Surgeons in Ireland, Dublin, Ireland.
Anthony O'GradyDepartment of Pathology, Royal College of Surgeons in Ireland, Dublin, Ireland.
Roshni KalachandMedical Oncology Lab, Department of Molecular Medicine, Royal College of Surgeons in Ireland, RCSI Smurfit Building, Beaumont Hospital, Dublin, Ireland.
Norma O'DonovanNational Institute for Cellular Biotechnology, Dublin City University, Dublin, Ireland.
Fergal KelleherDepartment of Medical Oncology, St. Vincent's University Hospital, Dublin, Ireland.
Aine O'ReillyDepartment of Medical Oncology, Beaumont Hospital, Dublin, Ireland.
Mark DohertyDepartment of Medical Oncology, Beaumont Hospital, Dublin, Ireland.
John CrownNational Institute for Cellular Biotechnology, Dublin City University, Dublin, Ireland.
Bryan T HennessyMedical Oncology Lab, Department of Molecular Medicine, Royal College of Surgeons in Ireland, RCSI Smurfit Building, Beaumont Hospital, Dublin, Ireland.
Royal College of Surgeons in Ireland · IEBeaumont Hospital · IESt. James's Hospital · IESt. Vincent's University Hospital · IEDublin City University · IEPrincess Alexandra Hospital · AURoyal Victoria Eye and Ear Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn increasing number of anti-cancer therapeutic agents target specific mutant proteins that are expressed by many different tumor types. Successful use of these therapies is dependent on the presence or absence of somatic mutations within the patient's tumor that can confer clinical efficacy or drug resistance.

methodsThe aim of our study was to determine the type, frequency, overlap and functional proteomic effects of potentially targetable recurrent somatic hotspot mutations in 47 cancer-related genes in multiple disease sites that could be potential therapeutic targets using currently available agents or agents in clinical development.

resultsUsing MassArray technology, of the 1300 patient tumors analysed 571 (43.9%) had at least one somatic mutation. Mutations were identified in 30 different genes. KRAS (16.5%), PIK3CA (13.6%) and BRAF (3.8%) were the most frequently mutated genes. Prostate (10.8%) had the lowest number of somatic mutations identified, while no mutations were identified in sarcoma. Ocular melanoma (90.6%), endometrial (72.4%) and colorectal (66.4%) tumors had the highest number of mutations. We noted high concordance between mutations in different parts of the tumor (94%) and matched primary and metastatic samples (90%). KRAS and BRAF mutations were mutually exclusive. Mutation co-occurrence involved mainly PIK3CA and PTPN11, and PTPN11 and APC. Reverse Phase Protein Array (RPPA) analysis demonstrated that PI3K and MAPK signalling pathways were more altered in tumors with mutations compared to wild type tumors.

conclusionsHotspot mutational profiling is a sensitive, high-throughput approach for identifying mutations of clinical relevance to molecular based therapeutics for treatment of cancer, and could potentially be of use in identifying novel opportunities for genotype-driven clinical trials.

Indexed as

Antineoplastic AgentsColorectal NeoplasmsClass I Phosphatidylinositol 3-KinasesHumansMaleMutationOncogenesProteomicsProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)Signal TransductionAntineoplastic AgentsClass I Phosphatidylinositol 3-KinasesProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)

Identifiers

PMID32087721
PMCPMC7036178
OpenAlexW3012668060

What OpenQuestion holds

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LicenceCC BY
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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.