Evidence map›Paper›PMID 37662970›Full record

ArticleMolecular therapy. Nucleic acids2023

Selection of a novel cell-internalizing RNA aptamer specific for CD22 antigen in B cell acute lymphoblastic leukemia.

Dario Ruiz-Ciancio, Li-Hsien Lin, Suresh Veeramani, Maya N Barros, Diego Sanchez, Ary Lautaro Di Bartolo, Diego Masone, Paloma H Giangrande, María Belén Mestre, William H Thiel

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Spiegelmer Aptamers: Innovative Approach in Breast Cancer.Breast cancer : basic and clinical research · 2026
    Review
  3. Article
  4. Identification of In Vivo Internalizing Cardiac-Specific RNA Aptamers.bioRxiv : the preprint server for biology · 2024
    Article
  5. Review
  6. 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

10 authors at 5 institutions in 2 countries.

Dario Ruiz-CiancioInstituto de Ciencias Biomédicas (ICBM), Facultad de Ciencias Médicas, Universidad Católica de Cuyo, Av. José Ignacio de la Roza 1516, Rivadavia, San Juan 5400, Argentina.
Li-Hsien LinDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52246, USA.
Suresh VeeramaniDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52246, USA.
Maya N BarrosDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52246, USA.
Diego SanchezInstituto de Medicina y Biología Experimental de Cuyo (IMBECU), CONICET, CCT-Mendoza 5500, Argentina.
Ary Lautaro Di BartoloInstituto de Histología y Embriología de Mendoza (IHEM) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Cuyo (UNCuyo), Mendoza M5502JMA, Argentina.
Diego MasoneInstituto de Histología y Embriología de Mendoza (IHEM) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Cuyo (UNCuyo), Mendoza M5502JMA, Argentina.
Paloma H GiangrandeDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52246, USA.
María Belén MestreInstituto de Ciencias Biomédicas (ICBM), Facultad de Ciencias Médicas, Universidad Católica de Cuyo, Av. José Ignacio de la Roza 1516, Rivadavia, San Juan 5400, Argentina.
William H ThielDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52246, USA.
University of Iowa · USConsejo Nacional de Investigaciones Científicas y Técnicas · ARInstituto de Histología y Embriología de Mendoza · ARInstituto de Medicina y Biología Experimental de Cuyo · ARWave Life Sciences (United States) · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Jon C.D. Houtman · 2000 to 2026
$70.0M
Deciphering mechanisms of vascular disease with cell and process specific ligandsR01HL139581 · NHLBI · UNIVERSITY OF IOWA · PI THIEL, WILLIAM H · 2018 to 2022
$1.9M
Aptamer-siRNA Chimeras Targeting HER2-Positive Breast CancersR01CA138503 · NCI · UNIVERSITY OF IOWA · PI GIANGRANDE, PALOMA HOBAN · 2009 to 2013
$1.5M
NCI NIH HHS P30 CA086862NCI NIH HHS R01 CA138503NHLBI NIH HHS R01 HL139581
6 · The paper itself

Abstract

Despite improvements in B cell acute lymphoblastic leukemia (B-ALL) treatment, a significant number of patients experience relapse of the disease, resulting in poor prognosis and high mortality. One of the drawbacks of current B-ALL treatments is the high toxicity associated with the non-specificity of chemotherapeutic drugs. Targeted therapy is an appealing strategy to treat B-ALL to mitigate these toxic off-target effects. One such target is the B cell surface protein CD22. The restricted expression of CD22 on the B-cell lineage and its ligand-induced internalizing properties make it an attractive target in cases of B cell malignancies. To target B-ALL and the CD22 protein, we performed cell internalization SELEX (Systematic Evolution of Ligands by EXponential enrichment) followed by molecular docking to identify internalizing aptamers specific for B-ALL cells that bind the CD22 cell-surface receptor. We identified two RNA aptamers, B-ALL1 and B-ALL2, that target human malignant B cells, with B-ALL1 the first documented RNA aptamer interacting with the CD22 antigen. These B-ALL-specific aptamers represent an important first step toward developing novel targeted therapies for B cell malignancy treatments.

Indexed as

aptamerB cell acute lymphoblastic leukemiaCD22 proteincell internalization SELEXmolecular dockingMT: Delivery Strategies

Identifiers

PMID37662970
PMCPMC10469072
OpenAlexW4385296583

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.