Cited by 7Lung Cancer Treatments and MutationsHER2/EGFR in Cancer ResearchLung Cancer Diagnosis and Treatment

Update on afatinib-based combination regimens for the treatment of EGFR mutation-positive non-small-cell lung cancer

Open access
Bennouna, Jaafar·2017·Future Oncology

Abstract

afatinib • combination • EGFR • non-small

Integrity signals

Registry

Crossref · 10.2217/fon-2017-0240

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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  • The combination of afatinib with EGFR antibodies or bevacizumab has shown promise but some may be associated with considerable treatment-related toxicities.

    “Other approaches include the combination of afatinib with EGFR antibodies or bevacizumab, which have shown promise but some may be associated with considerable treatment-related toxicities.”

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Authors
Bennouna, J.
Affiliations
Centre Hospitalier Universitaire de Nantes (FR)
Corresponding author
Bennouna, Jaafar
Venue
Future Oncology
Published
2017-06-28
Volume
13
Issue
21
Pages
1829-1833
ISSN
  • 1479-6694 (ISSN-L)
  • 1744-8301
OpenAlex
W2728181306
Cited by
7
References
3
Citations by year
2023: 1 · 2020: 2 · 2019: 2 · 2018: 1 · 2017: 1
FWCI
1.36
Type
journal article
Language
en
Open access
Locations
  • Future Oncology (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
Boehringer Ingelheim
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
  • Health Sciences › Medicine › Oncology › HER2/EGFR in Cancer Research
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
Keywords
afatinib, EGFR mutation, non-small cell lung cancer, combination therapy, tyrosine kinase inhibitors
MeSH terms
Afatinib, Antineoplastic Combined Chemotherapy Protocols, Carcinoma, Non-Small-Cell Lung, Clinical Trials as Topic, Humans, Lung Neoplasms, Mutation, Quinazolines, Signal Transduction, Treatment Outcome, Protein Kinase Inhibitors, Molecular Targeted Therapy, ErbB Receptors

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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