Evidence map›Paper›PMID 39677737›Full record

ArticlebioRxiv : the preprint server for biology2024

Dona Flor and her two husbands: Discovery of novel HDAC6/AKT2 inhibitors for myeloid cancer treatment.

Karoline B Waitman, Holli-Joi Martin, Jorge A E G Carlos, Rodolpho C Braga, Vinícius A M Souza, Cleber C Melo-Filho, Sebastian Hilscher, Mônica F Z J Toledo, Maurício T Tavares, Letícia V Costa-Lotufo and 7 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Karoline B WaitmanORCID 0000-0003-2382-534X
Jorge A E G CarlosORCID 0000-0002-2833-4665
Vinícius A M Souza
Cleber C Melo-FilhoORCID 0000-0003-0056-6971
Sebastian HilscherORCID 0009-0003-0611-7365
Mônica F Z J ToledoORCID 0000-0001-7974-4480
Maurício T TavaresORCID 0000-0002-4400-7787
Letícia V Costa-LotufoORCID 0000-0003-1861-5153
João A Machado-NetoORCID 0000-0002-2937-8109
Mike Schutkowski
Thales KronenbergerORCID 0000-0001-6933-7590
Roberto Parise-FilhoORCID 0000-0002-9311-7245

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematological cancer treatment with hybrid kinase/HDAC inhibitors is a novel strategy to overcome the challenge of acquired resistance to drugs. We collected IC Highlights: Novel kinase/HDAC inhibitors for cancer treatment were found using machine learning61 QSAR models for hematological cancers and its targets were built and validatedK562, MV4-11, MM1S, NB-4, U937, and HDAC6 models had hit rates above 62.5% in tests

Identifiers

PMID39677737
PMCPMC11642781

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.