Evidence map›Paper›PMID 30050779›Full record

ArticleTranslational lung cancer research2018

Genome-wide copy number analyses of samples from LACE-Bio project identify novel prognostic and predictive markers in early stage non-small cell lung cancer.

Federico Rotolo, Chang-Qi Zhu, Elisabeth Brambilla, Stephen L Graziano, Ken Olaussen, Thierry Le-Chevalier, Jean-Pierre Pignon, Robert Kratzke, Jean-Charles Soria, Frances A Shepherd and 3 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2018. 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
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. JCO precision oncology · 2023
    Article
  5. Prognostic Impact ofCancers · 2022
    Article
  6. Article
  7. Article
  8. Prognostic and predictive effect ofTranslational lung cancer research · 2021
    Article
  9. Article
  10. Development of biomarkers for real precision medicine.Translational lung cancer research · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Federico RotoloGustave Roussy, Université Paris-Saclay, Service de Biostatistique et d'Epidémiologie, Villejuif, France.
Chang-Qi ZhuUniversity Health Network, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Elisabeth BrambillaDepartment of Pathology, Institut Albert Bonniot, Hopital Albert Michallon, Grenoble, France.
Stephen L GrazianoMedical Oncology, SUNY Upstate Medical University, Syracuse, NY, USA.
Ken OlaussenINSERM U981, Université Paris-Sud, Université Paris-Saclay and Gustave Roussy Cancer Campus, Villejuif, France.
Thierry Le-ChevalierDepartment of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif, France.
Jean-Pierre PignonGustave Roussy, Université Paris-Saclay, Service de Biostatistique et d'Epidémiologie, Villejuif, France.
Robert KratzkeDepartment of Medical Oncology, University of Minnesota, Minneapolis, MN, USA.
Jean-Charles SoriaINSERM U981, Université Paris-Sud, Université Paris-Saclay and Gustave Roussy Cancer Campus, Villejuif, France.
Frances A ShepherdUniversity Health Network, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Lesley SeymourCanadian Cancer Trials Group and Queen's University, Kingston, ON, Canada.
Stefan MichielsGustave Roussy, Université Paris-Saclay, Service de Biostatistique et d'Epidémiologie, Villejuif, France.
Ming-Sound TsaoUniversity Health Network, Princess Margaret Cancer Centre, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdjuvant chemotherapy (ACT) provides modest benefit in resected non-small cell lung cancer (NSCLC) patients. Genome-wide studies have identified gene copy number aberrations (CNA), but their prognostic implication is unknown.

methodsDNA from 1,013 FFPE tumor samples from three pivotal multicenter randomized trials (ACT

resultsA total of 976 samples successfully profiled, 414 (42%) adenocarcinoma (ADC), 430 (44%) squamous cell carcinoma (SCC) and 132 (14%) other NSCLC; 710 (73%) males. We identified 431 recurrent regions, with on average 51 gains and 43 losses; 253 regions (59%) were ≤3 Mb. Most frequent gains (up to 48%) were on chr1, 3q, 5p, 6p, 8q, 22q; most frequent losses (up to 40%) on chr3p, 8p, 9p. CNA frequency of 195 regions was significantly different (Q≤0.05) between ADC and SCC. Fourteen regions (7p11-12, 9p21, 18q12, and 19p11-13) were associated with disease-free survival (DFS) (univariate P≤0.005, Q<0.142), with poorer DFS for losses of regions including

conclusionsThese large-scale genome-wide analyses of gene CNA provide new candidate prognostic markers for stage I-III NSCLC.

Indexed as

biomarkersCopy number aberrations (CNA)non-small cell lung cancer (NSCLC)phase IIIplatinum-based chemotherapy

Identifiers

PMID30050779
PMCPMC6037976

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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.