Evidence map›Paper›PMID 24205279›Full record

ArticlePloS one2013

Genomic and transcriptional alterations in lung adenocarcinoma in relation to EGFR and KRAS mutation status.

Maria Planck, Karolina Edlund, Johan Botling, Patrick Micke, Sofi Isaksson, Johan Staaf

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  5. SRIQ clustering: A fusion of Random Forest, QT clustering, and KNN concepts.Computational and structural biotechnology journal · 2022
    Article
  6. Article
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  8. N-Glycan profiling of lung adenocarcinoma in patients at different stages of disease.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Intrinsic cancer subtypes--next steps into personalized medicine.Cellular oncology (Dordrecht, Netherlands) · 2015
    Review
  15. 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

6 authors.

Maria PlanckDepartment of Oncology, Clinical Sciences, Lund University and Skåne University Hospital, Medicon Village, Lund, Sweden.
Karolina Edlund
Johan Botling
Patrick Micke
Sofi Isaksson
Johan Staaf

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn lung adenocarcinoma, the mutational spectrum is dominated by EGFR and KRAS mutations. Improved knowledge about genomic and transcriptional alterations in and between mutation-defined subgroups may identify genes involved in disease development or progression.

methodsGenomic profiles from 457 adenocarcinomas, including 113 EGFR-mutated, 134 KRAS-mutated and 210 EGFR and KRAS-wild type tumors (EGFRwt/KRASwt), and gene expression profiles from 914 adenocarcinomas, including 309 EGFR-mutated, 192 KRAS-mutated, and 413 EGFRwt/KRASwt tumors, were assembled from different repositories. Genomic and transcriptional differences between the three mutational groups were analyzed by both supervised and unsupervised methods.

resultsEGFR-mutated adenocarcinomas displayed a larger number of copy number alterations and recurrent amplifications, a higher fraction of total loss-of-heterozygosity, higher genomic complexity, and a more distinct expression pattern than EGFR-wild type adenocarcinomas. Several of these differences were also consistent when the three mutational groups were stratified by stage, gender and smoking status. Specific copy number alterations were associated with mutation status, predominantly including regions of gain with the highest frequency in EGFR-mutated tumors. Differential regions included both large and small regions of gain on 1p, 5q34-q35.3, 7p, 7q11.21, 12p12.1, 16p, and 21q, and losses on 6q16.3-q21, 8p, and 9p, with 20-40% frequency differences between the mutational groups. Supervised gene expression analyses identified 96 consistently differentially expressed genes between the mutational groups, and together with unsupervised analyses these analyses highlighted the difficulty in broadly resolving the three mutational groups into distinct transcriptional entities.

conclusionsWe provide a comprehensive overview of the genomic and transcriptional landscape in lung adenocarcinoma stratified by EGFR and KRAS mutations. Our analyses suggest that the overall genomic and transcriptional landscape of lung adenocarcinoma is affected, but only to a minor extent, by EGFR and KRAS mutation status.

Indexed as

GenomicsMutationTranscription, GeneticAdenocarcinomaAdenocarcinoma of LungDNA Copy Number VariationsErbB ReceptorsFemaleGenes, rasHumansLung NeoplasmsMaleErbB Receptors

Identifiers

PMID24205279
PMCPMC3812039

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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.