Evidence map›Paper›PMID 27027238›Full record

ArticleOncotarget2016

Use of dedicated gene panel sequencing using next generation sequencing to improve the personalized care of lung cancer.

Coureche Guillaume Kaderbhai, Romain Boidot, Françoise Beltjens, Sandy Chevrier, Laurent Arnould, Laure Favier, Aurélie Lagrange, Bruno Coudert, François Ghiringhelli

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Applications and analysis of targeted genomic sequencing in cancer studies.Computational and structural biotechnology journal · 2019
    Review
  16. Precision Oncology Decision Support: Current Approaches and Strategies for the Future.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    Review
  17. Article
  18. Article
  19. 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.

Coureche Guillaume KaderbhaiDepartment of Medical Oncology, Centre Georges-François Leclerc, Dijon, France.
Romain BoidotINSERM, U866, Faculté de Médecine, Université de Bourgogne and Centre Georges François Leclerc, Dijon, France.
Françoise BeltjensDepartment of Biology and Pathology of Tumors, Centre Georges-François Leclerc, Dijon, France.
Sandy ChevrierDepartment of Biology and Pathology of Tumors, Centre Georges-François Leclerc, Dijon, France.
Laurent ArnouldDepartment of Biology and Pathology of Tumors, Centre Georges-François Leclerc, Dijon, France.
Laure FavierDepartment of Medical Oncology, Centre Georges-François Leclerc, Dijon, France.
Aurélie LagrangeDepartment of Medical Oncology, Centre Georges-François Leclerc, Dijon, France.
Bruno CoudertDepartment of Medical Oncology, Centre Georges-François Leclerc, Dijon, France.
François GhiringhelliDepartment of Medical Oncology, Centre Georges-François Leclerc, Dijon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in Next Generation Sequencing (NGS) technologies have improved the ability to detect potentially targetable mutations. However, the integration of NGS into clinical management in an individualized manner remains challenging. In this single-center observational study, we performed a dedicated NGS panel studying 41 cancer-related genes in 50 consecutive patients with metastatic non-small-cell lung cancer between May 2012 and October 2014. Molecular analysis could be performed in 48 patients with a good quality check. One hundred and thirty-three mutations, whose twenty-four unique mutations, were detected. At least one mutation was found in 46 patients. In 58% of cases, the Molecular Tumor Board (MTB) was able to recommend treatment with a targeted agent based on the evaluation of the tumor genetic profile and treatment history. Nine patients (18%) were subsequently treated with a MTB-recommended targeted therapy; four patients experienced a clinical benefit with a partial response or stabilization lasting more than 4 months. In this case series involving patients with metastatic non-small cell lung cancer, we show that including integrative clinical sequencing data into routine clinical management was feasible and could impact on patient therapeutic proposal.

Indexed as

AdultAgedAged, 80 and overHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMiddle AgedPrecision Medicineclinical researchlung cancerNGSprecision medicine

Identifiers

PMID27027238
PMCPMC5029748

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.