Evidence map›Paper›PMID 29570743›Full record

ArticlePloS one2018

Novel putative drivers revealed by targeted exome sequencing of advanced solid tumors.

Antonio Pannuti, Aleksandra Filipovic, Chindo Hicks, Elliot Lefkowitz, Travis Ptacek, Justin Stebbing, Lucio Miele

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. 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
0.2field-weighted citation impact, top 53% 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, 8 citations in OpenAlex.

  1. Article
  2. Review
  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

7 authors at 4 institutions in 2 countries.

Antonio PannutiStanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, Louisiana, United States of America.
Aleksandra FilipovicDepartment of Oncology, Imperial College of Medicine, London, United Kingdom.
Chindo HicksDepartment of Genetics, Louisiana State University School of Medicine, New Orleans, Louisiana, United States of America.
Elliot LefkowitzDepartment of Microbiology, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, United States of America.
Travis PtacekDepartment of Microbiology, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, United States of America.
Justin StebbingDepartment of Oncology, Imperial College of Medicine, London, United Kingdom.
Lucio MieleStanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, Louisiana, United States of America.ORCID 0000-0002-5853-7287
Imperial College London · GBLouisiana State University · USUniversity of Alabama at Birmingham · USLouisiana State University Health Sciences Center New Orleans · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI JUDD E SHELLITO · 2012 to 2026
$69.1M
Department of Health NIHR-RP-011-053NIGMS NIH HHS U54 GM104940NIH HHS 1 U54 GM104940NIH HHS ULTR001417
6 · The paper itself

Abstract

Next generation sequencing (NGS) is becoming increasingly integrated into oncological practice and clinical research. NGS methods have also provided evidence for clonal evolution of cancers during disease progression and treatment. The number of variants associated with response to specific therapeutic agents keeps increasing. However, the identification of novel driver mutations as opposed to passenger (phenotypically silent or clinically irrelevant) mutations remains a major challenge. We conducted targeted exome sequencing of advanced solid tumors from 44 pre-treated patients with solid tumors including breast, colorectal and lung carcinomas, neuroendocrine tumors, sarcomas and others. We catalogued established driver mutations and putative new drivers as predicted by two distinct algorithms. The established drivers we detected were consistent with published observations. However, we also detected a significant number of mutations with driver potential never described before in each tumor type we studied. These putative drivers belong to key cell fate regulatory networks, including potentially druggable pathways. Should our observations be confirmed, they would support the hypothesis that new driver mutations are selected by treatment in clinically aggressive tumors, and indicate a need for longitudinal genomic testing of solid tumors to inform second line cancer treatment.

Indexed as

Biomarkers, TumorBreast NeoplasmsColorectal NeoplasmsFemaleHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMaleMutationNeoplasm StagingNeuroendocrine TumorsSarcomaSequence Analysis, DNABiomarkers, Tumor

Identifiers

PMID29570743
PMCPMC5865730
OpenAlexW2793463154

What OpenQuestion holds

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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.