Evidence map›Paper›PMID 30016964›Full record

ArticleRadiation oncology (London, England)2018

RNA-sequencing in non-small cell lung cancer shows gene downregulation of therapeutic targets in tumor tissue compared to non-malignant lung tissue.

Kobe Reynders, Els Wauters, Matthieu Moisse, Herbert Decaluwé, Paul De Leyn, Stéphanie Peeters, Maarten Lambrecht, Kristiaan Nackaerts, Christophe Dooms, Wim Janssens and 3 more

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

13 authors at 4 institutions in 2 countries.

Kobe ReyndersExperimental Radiation Oncology, Department of Oncology, KU Leuven, Leuven, Belgium. kobe.reynders@uzleuven.be.ORCID http://orcid.org/0000-0003-1961-9738
Els WautersRespiratory Oncology Department, University Hospitals Gasthuisberg, KU Leuven, Leuven, Belgium.
Matthieu MoisseVesalius Research Center (VRC), VIB, KU Leuven, Leuven, Belgium.
Herbert DecaluwéDepartment of Thoracic surgery, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium.
Paul De LeynDepartment of Thoracic surgery, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium.
Stéphanie PeetersDepartment of Radiation Oncology (Maastro Clinic), Maastricht University Medical Center, GROW, Maastricht, The Netherlands.
Maarten LambrechtRadiation Oncology Department, University Hospitals Gasthuisberg, KU Leuven, Leuven, Belgium.
Kristiaan NackaertsRespiratory Oncology Department, University Hospitals Gasthuisberg, KU Leuven, Leuven, Belgium.
Christophe DoomsRespiratory Oncology Department, University Hospitals Gasthuisberg, KU Leuven, Leuven, Belgium.
Wim JanssensRespiratory Division, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium.
Johan VansteenkisteRespiratory Oncology Department, University Hospitals Gasthuisberg, KU Leuven, Leuven, Belgium.
Diether LambrechtsVesalius Research Center (VRC), VIB, KU Leuven, Leuven, Belgium.
Dirk De RuysscherExperimental Radiation Oncology, Department of Oncology, KU Leuven, Leuven, Belgium.
KU Leuven · BEMaastricht University · NLVIB-KU Leuven Center for Microbiology · BEUniversitair Ziekenhuis Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGene expression of specific therapeutic targets in non-malignant lung tissue might play an important role in optimizing targeted therapies. This study aims to identify different expression patterns of fifteen genes important for targeted therapy in non-small cell lung cancer (NSCLC).

methodsWe prospectively collected tissue of NSCLC and non-malignant lung tissue from 25 primary resected patients. RNA-sequencing and 450 K methylation array profiling was applied to both NSCLC and non-malignant lung tissue and data were analyzed for 14 target genes. We analyzed differential expression and methylation as well as expression according to patient characteristics like smoking status, histology, age, chronic obstructive pulmonary disease, C-reactive protein (CRP) and gender. TCGA data served as a validation set.

resultsNineteen men and 6 women were included. Important targets like PD-L2 (p = 0.035), VEGFR2 (p < 0.001) and VEGFR3 (p < 0.001) were downregulated (respective fold changes = 1.8, 3.1, 2.7, 3.5) in tumor compared to non-malignant lung tissue. The TCGA set confirmed these findings almost universally. PD-L1 (p < 0.001) became also significantly downregulated in the TCGA set. In NSCLC, MUC1 (p = 0.003) showed a higher expression in patients with a CRP < 5 mg/L compared to > 5 mg/L. In the TCGA data but not in our primary data, PD-L1 & 2 were both borderline more expressed in tumors of active smokers vs. tumors of ex-smokers (p = 0.044 and 0.052).

conclusionsOur results suggest a lower PD-L1 & 2 and VEGFR expression in NSCLC vs. non-malignant lung tissue. Specific patient characteristics did not seem to change the overall expression differences as they were in line with the overall results. This information may contribute to the optimization of targeted treatments.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorCarcinoma, Non-Small-Cell LungDown-RegulationFemaleHumansLungLung NeoplasmsMaleMethylationMolecular Targeted TherapyRNA, NeoplasmVascular Endothelial Growth Factor ABiomarkers, TumorRNA, NeoplasmVascular Endothelial Growth Factor ANSCLCPD-L1RNA-sequencingTargeted treatment

Identifiers

PMID30016964
PMCPMC6050654
OpenAlexW2883094595

What OpenQuestion holds

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Registered trials

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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.