Evidence map›Paper›PMID 26645239›Full record

ArticleBritish journal of cancer2015

Mutational analysis of pulmonary tumours with neuroendocrine features using targeted massive parallel sequencing: a comparison of a neglected tumour group.

Claudia Vollbrecht, Robert Werner, Robert Fred Henry Walter, Daniel Christian Christoph, Lukas Carl Heukamp, Martin Peifer, Burkhard Hirsch, Lina Burbat, Thomas Mairinger, Kurt Werner Schmid and 2 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in British journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Small cell lung cancer and neuroendocrine tumours.Breathe (Sheffield, England) · 2024
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Molecular Pathology of Lung Cancer.Cold Spring Harbor perspectives in medicine · 2022
    Review
  10. Review
  11. Review
  12. Review
  13. Morphologic and molecular classification of lung neuroendocrine neoplasms.Virchows Archiv : an international journal of pathology · 2021
    Review
  14. Article
  15. Review
  16. Review
  17. Transcriptomic data helps refining classification of pulmonary carcinoid tumors with increased mitotic counts.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020
    Article
  18. p53-PHLDA3-Akt Network: The Key Regulators of Neuroendocrine Tumorigenesis.International journal of molecular sciences · 2020
    Review
  19. Article
  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

12 authors at 5 institutions in 1 country.

Claudia VollbrechtInstitute of Pathology, University Hospital Cologne, Cologne, Germany.
Robert WernerInstitute of Pathology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Robert Fred Henry WalterInstitute of Pathology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Daniel Christian ChristophDepartment of Oncology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Lukas Carl HeukampInstitute of Pathology, University Hospital Cologne, Cologne, Germany.
Martin PeiferDepartment of Translational Genomics, Cologne Center of Genomics, University of Cologne, Cologne, Germany.
Burkhard HirschInstitute of Pathology, Molecular Diagnostics, Charité Universitätsmedizin Berlin, Berlin, Germany.
Lina BurbatInstitute of Pathology, Molecular Diagnostics, Charité Universitätsmedizin Berlin, Berlin, Germany.
Thomas MairingerInstitute of Pathology, Helios Klinikum Emil von Behring, Berlin, Germany.
Kurt Werner SchmidInstitute of Pathology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Jeremias WohlschlaegerInstitute of Pathology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Fabian Dominik MairingerInstitute of Pathology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
University of Duisburg-Essen · DECharité - Universitätsmedizin Berlin · DEUniversity Hospital Cologne · DECologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases · DEHelios Klinikum Emil von Behring · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of cancer-related deaths worldwide. The typical and atypical carcinoid (TC and AC), the large-cell neuroendocrine carcinoma (LCNEC) and the small-cell lung cancers (SCLC) are subgroups of pulmonary tumours that show neuroendocrine differentiations. With the rising impact of molecular pathology in routine diagnostics the interest for reliable biomarkers, which can help to differentiate these subgroups and may enable a more personalised treatment of patients, grows.

methodsA collective of 70 formalin-fixed, paraffin-embedded (FFPE) pulmonary neuroendocrine tumours (17 TCs, 17 ACs, 19 LCNECs and 17 SCLCs) was used to identify biomarkers by high-throughput sequencing. Using the Illumina TruSeq Amplicon-Cancer Panel on the MiSeq instrument, the samples were screened for alterations in 221 mutation hot spots of 48 tumour-relevant genes.

resultsAfter filtering >26 000 detected variants by applying strict algorithms, a total of 130 mutations were found in 29 genes and 49 patients. Mutations in JAK3, NRAS, RB1 and VHL1 were exclusively found in SCLCs, whereas the FGFR2 mutation was detected in LCNEC only. KIT, PTEN, HNF1A and SMO were altered in ACs. The SMAD4 mutation corresponded to the TC subtype. We prove that the frequency of mutations increased with the malignancy of tumour type. Interestingly, four out of five ATM-mutated patients showed an additional alteration in TP53, which was by far the most frequently altered gene (28 out of 130; 22%). We found correlations between tumour type and IASLC grade for ATM- (P=0.022; P=0.008) and TP53-mutated patients (P<0.001). Both mutated genes were also associated with lymph node invasion and distant metastasis (P⩽0.005). Furthermore, PIK3CA-mutated patients with high-grade tumours showed a reduced overall survival (P=0.040) and the mutation frequency of APC and ATM in high-grade neuroendocrine lung cancer patients was associated with progression-free survival (PFS) (P=0.020).

conclusionsThe implementation of high-throughput sequencing for the analysis of the neuroendocrine lung tumours has revealed that, even if these tumours encompass several subtypes with varying clinical aggressiveness, they share a number of molecular features. An improved understanding of the biology of neuroendocrine tumours will offer the opportunity for novel approaches in clinical management, resulting in a better prognosis and prediction of therapeutic response.

Indexed as

MutationAdultAgedAged, 80 and overFemaleHumansLung NeoplasmsMaleMiddle AgedNeuroendocrine TumorsParaffin EmbeddingYoung Adult

Identifiers

PMID26645239
PMCPMC4701994
OpenAlexW2193961691

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LicenceCC BY-NC-SA
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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.