Evidence map›Paper›PMID 27770511›Full record

ReviewCancer medicine2016

Epidermal growth factor receptor and notch signaling in non-small-cell lung cancer.

Joanna Pancewicz-Wojtkiewicz

Open access · goldAbstract readReview
In one paragraph

Review in Cancer medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Ticagrelor IncreasesInternational journal of molecular sciences · 2020
    Trial
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  4. Review
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  11. Article
  12. Review
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  16. Review
  17. Cell Behavior of Non-Small Cell Lung Cancer Is at EGFR and MicroRNAs Hands.International journal of molecular sciences · 2021
    Review
  18. Article
  19. Article
  20. Review
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

1 author at 1 institution in 1 country.

Joanna Pancewicz-WojtkiewiczDepartment of Histology and Embryology, Medical University of Bialystok, Bialystok, Poland.
Medical University of Białystok · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the most common reason of cancer deaths and about 85% of these are non-small-cell lung cancer. Currently, lung cancer therapy is mainly based on the tumor node metastasis (TNM) disease staging and tumor histological classification. Despite therapeutic innovations, the prognosis for lung cancer patients has not significantly changed in the last years. Therefore, a proper understanding of cell signaling pathways involved in cancer pathogenesis seems to be essential for improvement in cancer therapy field. The knowledge of crosstalk between epidermal growth factor receptor (EGFR) and Notch pathway can lead to enhanced screening for the expression of these genes allowing patients to optimize treatment options and predict potential treatment resistance. This review focuses on recent advances related to the mechanisms of EGFR and Notch signaling in non-small-cell lung cancer and the effectiveness of current Notch- and EGFR-targeted therapies.

Indexed as

Signal TransductionAnimalsAntineoplastic AgentsCarcinoma, Non-Small-Cell LungCell Line, TumorErbB ReceptorsHumansLung NeoplasmsMolecular Targeted TherapyProtein Kinase InhibitorsReceptors, NotchTreatment OutcomeAntineoplastic AgentsErbB ReceptorsProtein Kinase InhibitorsReceptors, NotchEpidermal growth factor receptornon-small-cell lung cancerNotchtyrosine kinase inhibitors

Identifiers

PMID27770511
PMCPMC5224843
OpenAlexW2537731488

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.