Evidence map›Paper›PMID 33344899›Full record

ArticleACS pharmacology & translational science2020

RNA Targeting in Acute Myeloid Leukemia.

Alessandra Messikommer, Katja Seipel, Stephen Byrne, Peter J M Valk, Thomas Pabst, Nathan W Luedtke

Open access · greenAbstract read
In one paragraph

Article in ACS pharmacology & translational science, 2020. 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
0.5field-weighted citation impact, top 37% 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, 15 citations in OpenAlex.

  1. Live-Cell RNA Imaging via Clickable TriPPPro Nucleotide Reporters.Angewandte Chemie (International ed. in English) · 2026
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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 3 countries.

Alessandra MessikommerDepartment of Chemistry, University of Zurich, CH-8057 Zurich, Switzerland.
Katja SeipelDepartment of Medical Oncology, University Hospital Inselspital and University of Bern, CH-3010 Bern, Switzerland.
Stephen ByrneDepartment of Chemistry, University of Zurich, CH-8057 Zurich, Switzerland.
Peter J M ValkDepartment of Hematology, Erasmus University Medical Center, 3000 CA Rotterdam, Netherlands.
Thomas PabstDepartment of Medical Oncology, University Hospital Inselspital and University of Bern, CH-3010 Bern, Switzerland.
Nathan W LuedtkeDepartment of Chemistry, University of Zurich, CH-8057 Zurich, Switzerland.
University of Zurich · CHUniversity of Bern · CHErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nucleosides and their analogues constitute an essential family of anticancer drugs. DNA has been the presumptive target of the front-line prodrug for acute myeloid leukemia (AML), cytarabine (ara-C), since the 1980s. Here, the biomolecular targeting of ara-C was evaluated in primary white blood cells using the ara-C mimic "AzC" and azide-alkyne "click" reactions. Fluorescent staining and microscopy revealed that metabolic incorporation of AzC into primary white blood cells was unexpectedly enhanced by the DNA polymerase inhibitor aphidicholine. According to RNaseH digestion and pull-down-and-release experiments, AzC was incorporated into short RNA fragments bound to DNA in peripheral blood monocytes (PBMCs) collected from all six healthy human donors tested. Samples from 22 AML patients (French-American-British classes M4 and M5) exhibited much more heterogeneity, with 27% incorporating AzC into RNA and 55% into DNA. The overall survival of AML patients whose samples incorporated AzC into RNA was approximately 3-fold higher as compared to that of the DNA cohort (

Identifiers

PMID33344899
PMCPMC7737216
OpenAlexW3092863599

What OpenQuestion holds

Textmetadata
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.