Evidence map›Paper›PMID 35403176›Full record

ArticleClinical oncology, case reports2022

Cetuximab in Patients with Non-Small Cell Lung Cancer and EGFR Exon 20 Insertion Alterations.

Mina Nikanjam, Shumei Kato, Jacob J Adashek, Razelle Kurzrock

Open access · greenAbstract read
In one paragraph

Article in Clinical oncology, case reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Mina NikanjamCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, UC San Diego Moores Cancer Center, San Diego, USA.
Shumei KatoCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, UC San Diego Moores Cancer Center, San Diego, USA.
Jacob J AdashekDepartment of Internal Medicine, University of South Florida, Tampa, FL, USA.
Razelle KurzrockCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, UC San Diego Moores Cancer Center, San Diego, USA.
University of South Florida · US

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jesse Nodora · 1985 to 2026
$124.9M
NCI NIH HHS P30 CA023100
6 · The paper itself

Abstract

Epidermal Growth Factor Receptor (EGFR) exon 20 insertion alterations represent 4%-10% of all EGFR mutations in Non-Small Cell Lung Cancer (NSCLC) and result in resistance to standard EGFR-directed therapies. EGFR exon 20 insertions restrict the size of the kinase pocket, prohibiting the entry of approved EGFR kinase inhibitor drugs. Structural In Silico modeling also predicts that EGFR exon 20 insertion anomalies increase attractive electrostatic dimerization, hence stabilizing the activating dimer configuration. EGFR antibodies such as cetuximab that interfere with dimerization may lead to responses. We identified three non-smoking patients with NSCLC and EGFR exon 20 insertions treated with cetuximab-based therapy. All three patients demonstrated clinical benefit. A 58-year-old woman achieved prolonged stable disease lasting 9 months, while a 76-year-old woman and 38-year-old man maintained a partial response with progression-free survivals of 13 months and 32 months, respectively. In conclusion, cetuximab merits further investigation as it appears to be an additional promising therapy for overcoming EGFR exon 20 insertion-related resistance.

Indexed as

CetuximabEGFRExon 20 insertionNSCLC

Identifiers

PMID35403176
PMCPMC8994415
OpenAlexW4225893764

What OpenQuestion holds

Textmetadata
LicenceTDM
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.