Evidence map›Paper›PMID 29890761›Full record

ReviewJournal of clinical medicine2018

Current and Future Molecular Testing in NSCLC, What Can We Expect from New Sequencing Technologies?

Simon Garinet, Pierre Laurent-Puig, Hélène Blons, Jean-Baptiste Oudart

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
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

39 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Droplet Digital PCR as a Molecular Tool for the Detection of theBalkan journal of medical genetics : BJMG · 2023
    Article
  5. Review
  6. Article
  7. Article
  8. Tumor Immunology and Immunotherapy of Non-Small-Cell Lung Cancer.Cold Spring Harbor perspectives in medicine · 2022
    Review
  9. Molecular Pathology of Lung Cancer.Cold Spring Harbor perspectives in medicine · 2022
    Review
  10. Article
  11. Article
  12. The Interaction of the IFNJournal of oncology · 2022
    Article
  13. Article
  14. Cell Behavior of Non-Small Cell Lung Cancer Is at EGFR and MicroRNAs Hands.International journal of molecular sciences · 2021
    Review
  15. Comparison ofOncotarget · 2021
    Article
  16. Article
  17. Review
  18. Article
  19. Observational
  20. 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

4 authors.

Simon GarinetINSERM UMR-S1147, Paris Sorbonne Cite University, 75270 Paris Cedex 06, France. simon.garinet@aphp.fr.
Pierre Laurent-PuigINSERM UMR-S1147, Paris Sorbonne Cite University, 75270 Paris Cedex 06, France. pierre.laurent-puig@parisdescartes.fr.ORCID 0000-0001-8475-5459
Hélène BlonsINSERM UMR-S1147, Paris Sorbonne Cite University, 75270 Paris Cedex 06, France. helene.blons@aphp.fr.
Jean-Baptiste OudartDepartment of Biochemistry, Unit of Pharmacogenetics and Molecular Oncology, Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, 75015 Paris, France. joudart@chu-reims.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent changes in lung cancer care, including new approvals in first line and the introduction of high-throughput molecular technologies in routine testing led us to question ourselves on how deeper molecular testing may be helpful for the optimal use of targeted drugs. In this article, we review recent results in the scope of personalized medicine in lung cancer. We discuss biomarkers that have a therapeutic predictive value in lung cancer with a focus on recent changes and on the clinical value of large scale sequencing strategies. We review the use of second- and third-generation EGFR and ALK inhibitors with a focus on secondary resistance alterations. We discuss anti-BRAF and anti-MEK combo, emerging biomarkers as NRG1 and NTRKs fusions and immunotherapy. Finally, we discuss the different technical issues of comprehensive molecular profiling and show how large screenings might refine the prediction value of individual markers. Based on a review of recent publications (2012⁻2018), we address promising approaches for the treatment of patients with lung cancers and the technical challenges associated with the identification of new predictive markers.

Indexed as

lung cancermolecular analysisNGSoncogene drivers

Identifiers

PMID29890761
PMCPMC6024886

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.