Evidence map›Paper›PMID 38649626›Full record

ArticleMolecular imaging and biology2024

PDX Models in Theranostic Applications: Generation and Screening for B Cell Lymphoma of Human Origin.

Shayla Shmuel, Sébastien Monette, Dina Ibrahim, Patrícia M R Pereira

Open access · greenAbstract read
In one paragraph

Article in Molecular imaging and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. MIB guides: [Molecular imaging and biology · 2025
    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 2 institutions in 1 country.

Shayla ShmuelDepartment of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Sébastien MonetteLaboratory of Comparative Pathology, Memorial Sloan Kettering Cancer Center, Weill Cornell Medicine, and The Rockefeller University, New York, NY, USA.
Dina IbrahimDepartment of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Patrícia M R PereiraDepartment of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA. ribeiropereirap@wustl.edu.ORCID 0000-0002-4772-9339
Mallinckrodt (United States) · USMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Improving radiolabeled imaging and targeting of HER2 positive EG cancers using lovastatinR01CA244233 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI JANJIGIAN, YELENA Y, LEWIS, JASON S. · 2021 to 2025
$3.4M
Reversing Drug Resistance in Tumors with Clickable Antibody PairsR37CA276498 · NCI · WASHINGTON UNIVERSITY · PI Patricia Manuela Ribeiro Pereira · 2023 to 2026
$2.5M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA244233NCI NIH HHS R37 CA276498
6 · The paper itself

Abstract

This MIB guide briefly summarizes the generation of patient-derived xenografts (PDXs) and highlights the importance of validating PDX models for the presence of B cell lymphoma of human origin before their use in radiotheranostic applications. The use of this protocol will allow researchers to learn different methods for screening PDX models for Epstein-Barr virus (EBV)-infected B cell lymphoma.

Indexed as

Lymphoma, B-CellAnimalsDisease Models, AnimalHumansPrecision MedicineXenograft Model Antitumor AssaysEBVPDXsTheranostics

Identifiers

PMID38649626
PMCPMC11577570
OpenAlexW4394996719

What Socratic 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 Socratic graph.