Evidence map›Paper›PMID 39903428›Full record

ReviewTargeted oncology2025

The User's Guide to Amivantamab.

Danielle Brazel, Janellen Smith, Sai-Hong Ignatius Ou, Misako Nagasaka

Abstract readReview
In one paragraph

Review in Targeted oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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. Review
  2. Article
  3. Review
  4. Review
  5. 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

4 authors.

Danielle BrazelDepartment of Hematology/Oncology, Scripps Clinic/Scripps Green Hospital, La Jolla, CA, USA.
Janellen SmithChao Family Cancer Center, University of California Irvine School of Medicine, 101 The City Drive, Orange, CA, 92868, USA.
Sai-Hong Ignatius OuChao Family Cancer Center, University of California Irvine School of Medicine, 101 The City Drive, Orange, CA, 92868, USA.
Misako NagasakaChao Family Cancer Center, University of California Irvine School of Medicine, 101 The City Drive, Orange, CA, 92868, USA. nagasakm@hs.uci.edu.ORCID http://orcid.org/0000-0001-5308-615X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted therapies have revolutionized treatment of non-small-cell lung cancer (NSCLC); however, epidermal growth factor receptor (EGFR) exon20ins mutations are resistant to tyrosine kinase inhibitors. Amivantamab utilizes multiple mechanisms of action to bypass the altered binding site conformation and recruits immune cells for anti-cancer activity. Amivantamab is approved in the frontline setting of EGFR exon20ins-mutated NSCLC in combination with carboplatin plus pemetrexed. Single-agent amivantamab is approved in second line or later for EGFR exon20ins. Furthermore, amivantamab with lazertinib for first line as well as amivantamab in combination with carboplatin and pemetrexed for second line after osimertinib have both been approved in the treatment of NSCLC harboring EGFR-sensitizing mutations. Now with multiple indications, we must learn how to manage the unique side effects of amivantamab to maximize treatment benefit for the patients. Side effects of amivantamab can be associated with inhibition of the EGFR and/or mesenchymal epithelial transcription factor (MET) signaling pathways. This work reviews the mechanism of action, pharmacology, clinical trial data, and covers management of toxicities. This guide is designed as a practical reference tool for clinicians, pharmacists, and basic science researchers.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsHumans

Identifiers

PMID39903428
PMCPMC11933153

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.