Evidence map›Paper›PMID 39138333›Full record

ArticleScientific reports2024

Exploring potential therapeutic combinations for castration-sensitive prostate cancer using supercomputers: a proof of concept study.

Draško Tomić, Jure Murgić, Ana Fröbe, Karolj Skala, Antonela Vrljičak, Branka Medved Rogina, Branimir Kolarek, Viktor Bojović

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Draško TomićCentre for Informatics and Computing, Rudjer Boskovic Institute, 10000, Zagreb, Croatia. drasko@irb.hr.
Jure MurgićDepartment of Oncology and Nuclear Medicine, Sisters of Charity Hospital, 10000, Zagreb, Croatia.
Ana FröbeDepartment of Oncology and Nuclear Medicine, Sisters of Charity Hospital, 10000, Zagreb, Croatia.
Karolj SkalaCentre for Informatics and Computing, Rudjer Boskovic Institute, 10000, Zagreb, Croatia.
Antonela VrljičakDepartment of Oncology and Nuclear Medicine, Sisters of Charity Hospital, 10000, Zagreb, Croatia.
Branka Medved RoginaCentre for Informatics and Computing, Rudjer Boskovic Institute, 10000, Zagreb, Croatia.
Branimir KolarekCentre for Informatics and Computing, Rudjer Boskovic Institute, 10000, Zagreb, Croatia.
Viktor BojovićCentre for Informatics and Computing, Rudjer Boskovic Institute, 10000, Zagreb, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address the challenge of finding new combination therapies against castration-sensitive prostate cancer, we introduce Vini, a computational tool that predicts the efficacy of drug combinations at the intracellular level by integrating data from the KEGG, DrugBank, Pubchem, Protein Data Bank, Uniprot, NCI-60 and COSMIC databases. Vini is a computational tool that predicts the efficacy of drugs and their combinations at the intracellular level. It addresses the problem comprehensively by considering all known target genes, proteins and small molecules and their mutual interactions involved in the onset and development of cancer. The results obtained point to new, previously unexplored combination therapies that could theoretically be promising candidates for the treatment of castration-sensitive prostate cancer and could prevent the inevitable progression of the cancer to the incurable castration-resistant stage. Furthermore, after analyzing the obtained triple combinations of drugs and their targets, the most common targets became clear: ALK, BCL-2, mTOR, DNA and androgen axis. These results may help to define future therapies against castration-sensitive prostate cancer. The use of the Vini computer model to explore therapeutic combinations represents an innovative approach in the search for effective treatments for castration-sensitive prostate cancer, which, if clinically validated, could potentially lead to new breakthrough therapies.

Indexed as

Prostatic Neoplasms, Castration-ResistantAntineoplastic Combined Chemotherapy ProtocolsComputational BiologyHumansMaleProof of Concept StudyProstatic Neoplasms

Identifiers

PMID39138333
PMCPMC11322545

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Registered trials

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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.