Evidence map›Paper›PMID 38550578›Full record

ArticleFrontiers in immunology2024

Low-dose targeted radionuclide therapy synergizes with CAR T cells and enhances tumor response.

Yanping Yang, Yogindra Vedvyas, Yago Alcaina, Ju Y Son, Irene M Min, Moonsoo M Jin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2024. 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
2.5field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  6. Development of aCellular oncology (Dordrecht, Netherlands) · 2025
    Article
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  8. Article
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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 at 3 institutions in 1 country.

Yanping YangDepartment of Radiology, Houston Methodist Research Institute, Houston, TX, United States.
Yogindra VedvyasDepartment of Radiology, Houston Methodist Research Institute, Houston, TX, United States.
Yago AlcainaMolecular Imaging Innovations Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, United States.
Ju Y SonMolecular Imaging Innovations Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, United States.
Irene M MinDepartment of Radiology, Houston Methodist Research Institute, Houston, TX, United States.
Moonsoo M JinDepartment of Radiology, Houston Methodist Research Institute, Houston, TX, United States.
Cornell University · USMolecular Innovations (United States) · USWeill Cornell Medicine · US

Funding

Imaging-guided fine tuning of CAR T cell affinity to limit T cell cytotoxicity to tumor antigenR01CA217059 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI JIN, MOONSOO M. · 2018 to 2022
$2.6M
CAR T Cells for Advanced Thyroid CancerR01CA254035 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI JIN, MOONSOO M. · 2021 to 2024
$2.6M
NCI NIH HHS R01 CA217059NCI NIH HHS R01 CA254035
6 · The paper itself

Abstract

Ionizing radiation has garnered considerable attention as a combination partner for immunotherapy due to its potential immunostimulatory effects. In contrast to the more commonly used external beam radiation, we explored the feasibility of combining chimeric antigen receptor (CAR) T cell therapy with targeted radionuclide therapy (TRT), which is achieved by delivering

Indexed as

NeoplasmsAnimalsImmunotherapyOctreotideRadioisotopesT-LymphocytesOctreotideRadioisotopes177Lu-DOTATATECAR T cellssolid tumorsSSTR2targeted radionuclide therapy

Identifiers

PMID38550578
PMCPMC10972862
OpenAlexW4392814763

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.