Evidence map›Paper›PMID 32095692›Full record

ArticleACS omega2020

Nicotinamide-Ponatinib Analogues as Potent Anti-CML and Anti-AML Compounds.

Elizabeth Larocque, Elizabeth Fei Yin Chu, Nimmashetti Naganna, Herman O Sintim

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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

4 authors at 1 institution in 2 countries.

Elizabeth LarocqueDepartment of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United States.
Elizabeth Fei Yin ChuDepartment of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United States.
Nimmashetti NagannaDepartment of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United States.
Herman O SintimDepartment of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United States.
Purdue University West Lafayette · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ponatinib is a multikinase inhibitor that is used to treat chronic myeloid leukemia patients harboring mutated ABL1(T315I) kinase. Due to the potent inhibition of FLT3, RET, and fibroblast growth factor receptors (FGFRs), it is also being evaluated against acute myeloid leukemia (AML), biliary, and lung cancers. The multikinase inhibition profile of ponatinib may also account for its toxicity, thus analogs with improved kinase selectivity or different kinase inhibition profiles could be better tolerated. The introduction of nitrogen into drug compounds can enhance efficacy and drug properties (a concept called "necessary nitrogen"). Here, we introduce additional nitrogen into the benzamide moiety of ponatinib to arrive at nicotinamide analogs. A nicotinamide analogue of ponatinib, HSN748, retains activity against FLT3, ABL1, RET, and PDGFRα/β but loses activity against c-Src and P38α. MNK1 and 2 are key kinases that phosphorylate eIF4E to regulate the protein translation complex. MNK also modulates mTORC1 signaling and contributes to rapamycin resistance. Inhibitors of MNK1 and 2 are being evaluated for anticancer therapy. Ponatinib is not a potent inhibitor of MNK1 or 2, but the nicotinamide analogs are potent inhibitors of MNKs. This illustrates a powerful demonstration of the necessary nitrogen concept to alter both the potency and selectivity of drugs.

Identifiers

PMID32095692
PMCPMC7033671
OpenAlexW3004900934

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.