Evidence map›Paper›PMID 36313723›Full record

ReviewFrontiers in oncology2022

Radiolabeled EGFR TKI as predictive imaging biomarkers in NSCLC patients - an overview.

Eveline Van De Stadt, Maqsood Yaqub, A A Jahangir, Harry Hendrikse, Idris Bahce

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. 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. Review
  3. Pharmacokinetics, mass balance, and metabolism of [Cancer chemotherapy and pharmacology · 2025
    Article
  4. Review
  5. Chemical science · 2023
    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

5 authors.

Eveline Van De StadtDepartment of Pulmonology, Amsterdam University Medical Centers (UMC), VU University Medical Center, Amsterdam, Netherlands.
Maqsood YaqubDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Centers (UMC), VU University Medical Center, Amsterdam, Netherlands.
A A JahangirDepartment of Pulmonology, Amsterdam University Medical Centers (UMC), VU University Medical Center, Amsterdam, Netherlands.
Harry HendrikseDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Centers (UMC), VU University Medical Center, Amsterdam, Netherlands.
Idris BahceDepartment of Pulmonology, Amsterdam University Medical Centers (UMC), VU University Medical Center, Amsterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) has one of the highest cancer-related mortality rates worldwide. In a subgroup of NSCLC, tumor growth is driven by epidermal growth factor receptors (EGFR) that harbor an activating mutation. These patients are best treated with EGFR tyrosine kinase inhibitors (EGFR TKI). Identifying the EGFR mutational status on a tumor biopsy or a liquid biopsy using tumor DNA sequencing techniques is the current approach to predict tumor response on EGFR TKI therapy. However, due to difficulty in reaching tumor sites, and varying inter- and intralesional tumor heterogeneity, biopsies are not always possible or representative of all tumor lesions, highlighting the need for alternative biomarkers that predict tumor response. Positron emission tomography (PET) studies using EGFR TKI-based tracers have shown that EGFR mutational status could be identified, and that tracer uptake could potentially be used as a biomarker for tumor response. However, despite their likely predictive and monitoring value, the EGFR TKI-PET biomarkers are not yet qualified to be used in the routine clinical practice. In this review, we will discuss the currently investigated EGFR-directed PET biomarkers, elaborate on the typical biomarker development process, and describe how the advances, challenges, and opportunities of EGFR PET biomarkers relate to this process on their way to qualification for routine clinical practice.

Indexed as

EGFR TKImolecular imagingNSCLCPET/CTradiolabeled EGFR TKI

Identifiers

PMID36313723
PMCPMC9597357

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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.