Evidence map›Paper›PMID 31068650›Full record

ArticleScientific reports2019

Uncommon mutational profiles of metastatic colorectal cancer detected during routine genotyping using next generation sequencing.

Claire Franczak, Shaun M Kandathil, Pauline Gilson, Marie Husson, Marie Rouyer, Jessica Demange, Agnès Leroux, Jean-Louis Merlin, Alexandre Harlé

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. KRAS: A Druggable Target in Colon Cancer Patients.International journal of molecular sciences · 2022
    Review
  2. Article
  3. Article
  4. Article
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

9 authors at 4 institutions in 2 countries.

Claire FranczakInstitut de Cancérologie de Lorraine, Service de Biopathologie, 54519, Vandoeuvre les Nancy, France.
Shaun M KandathilDepartment of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Pauline GilsonUniversité de Lorraine, CNRS UMR 7039 CRAN, Institut de Cancérologie de Lorraine, Service de Biopathologie, 6 avenue de Bourgogne CS 30519, 54519, Vandoeuvre-lès-Nancy Cedex, France.
Marie HussonInstitut de Cancérologie de Lorraine, Service de Biopathologie, 54519, Vandoeuvre les Nancy, France.
Marie RouyerInstitut de Cancérologie de Lorraine, Service de Biopathologie, 54519, Vandoeuvre les Nancy, France.
Jessica DemangeInstitut de Cancérologie de Lorraine, Service de Biopathologie, 54519, Vandoeuvre les Nancy, France.
Agnès LerouxDepartment of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Jean-Louis MerlinDepartment of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Alexandre HarléThe Francis Crick Institute, 1 Midland Road, London, NW1 1AT, United Kingdom. a.harle@nancy.unicancer.fr.ORCID http://orcid.org/0000-0001-9548-6522
Institut de Cancérologie de Lorraine · FRCentre National de la Recherche Scientifique · FRThe Francis Crick Institute · GBUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RAS genotyping is mandatory to predict anti-EGFR monoclonal antibodies (mAbs) therapy resistance and BRAF genotyping is a relevant prognosis marker in patients with metastatic colorectal cancer. Although the role of hotspot mutations is well defined, the impact of uncommon mutations is still unknown. In this study, we aimed to discuss the potential utility of detecting uncommon RAS and BRAF mutation profiles with next-generation sequencing. A total of 779 FFPE samples from patients with metastatic colorectal cancer with valid NGS results were screened and 22 uncommon mutational profiles of KRAS, NRAS and BRAF genes were selected. In silico prediction of mutation impact was then assessed by 2 predictive scores and a structural protein modelling. Three samples carry a single KRAS non-hotspot mutation, one a single NRAS non-hotspot mutation, four a single BRAF non-hotspot mutation and fourteen carry several mutations. This in silico study shows that some non-hotspot RAS mutations seem to behave like hotspot mutations and warrant further examination to assess whether they should confer a resistance to anti-EGFR mAbs therapy for patients bearing these non-hotspot RAS mutations. For BRAF gene, non-V600E mutations may characterise a novel subtype of mCRC with better prognosis, potentially implying a modification of therapeutic strategy.

Indexed as

GenotypeMutationAntineoplastic Agents, ImmunologicalColorectal NeoplasmsComputer SimulationDiagnostic Tests, RoutineDrug Resistance, NeoplasmErbB ReceptorsGenotyping TechniquesGTP PhosphohydrolasesHigh-Throughput Nucleotide SequencingHumansMembrane ProteinsNeoplasm MetastasisPolymorphism, Single NucleotideProto-Oncogene Proteins B-rafAntineoplastic Agents, ImmunologicalBRAF protein, humanEGFR protein, humanErbB ReceptorsGTP PhosphohydrolasesKRAS protein, humanMembrane ProteinsNRAS protein, humanProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)

Identifiers

PMID31068650
PMCPMC6506598
OpenAlexW2944802756

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.