Evidence map›Paper›PMID 39897549›Full record

ReviewTheranostics2025

LAT1-specific PET radiotracers: Development and clinical experiences of a new class of cancer-specific radiopharmaceuticals.

Arifudin Achmad, Hirofumi Hanaoka, Holis Abdul Holik, Keigo Endo, Yoshito Tsushima, Achmad Hussein S Kartamihardja

Abstract readReview
In one paragraph

Review in Theranostics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. L-3-[International journal of molecular sciences · 2025
    Pooled it
  2. Quantification ofMedicinal research reviews · 2026
    Review
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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

6 authors.

Arifudin AchmadDepartment of Nuclear Medicine and Molecular Theranostics, Faculty of Medicine, Universitas Padjadjaran, Bandung 40161, West Java, Indonesia.
Hirofumi HanaokaFaculty of Medicine, Kansai Medical University, Hirakata 573-1010, Japan.
Holis Abdul HolikTheranostic Radiopharmaceutical Research Collaboration Center, Universitas Padjadjaran, Sumedang 45363, West Java, Indonesia.
Keigo EndoKyoto College of Medical Science, Kyoto 6220041, Japan.
Yoshito TsushimaDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi 3178511, Gunma, Japan.
Achmad Hussein S KartamihardjaDepartment of Nuclear Medicine and Molecular Theranostics, Faculty of Medicine, Universitas Padjadjaran, Bandung 40161, West Java, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quest for a cancer-specific positron emission tomography (PET) tracer has been ongoing for decades. Current evidence shows that targeting amino acid metabolism dysregulation is a valid alternative cancer detection method and can complement the conventional approach, which relies on targeting increased glucose metabolism. The rate of amino acid metabolism in all major organs is mostly equally low and does not change in any physiological dynamics. The amino acid metabolism rate only spikes in malignant tissues. PET imaging targeting LAT1 (L-type amino acid transporter 1) demonstrated accurate cancer imaging of various cancer types with nearly negligible background uptake. LAT1 is a

Indexed as

Large Neutral Amino Acid-Transporter 1NeoplasmsPositron-Emission TomographyRadiopharmaceuticalsAnimalsBiomarkers, TumorHumansBiomarkers, TumorLarge Neutral Amino Acid-Transporter 1RadiopharmaceuticalsSLC7A5 protein, humanamino acid metabolismcancerLAT1PETradiopharmaceutical

Identifiers

PMID39897549
PMCPMC11780518

What OpenQuestion holds

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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.