Evidence map›Paper›PMID 37207338›Full record

ArticleNucleic acids research2023

PanDrugs2: prioritizing cancer therapies using integrated individual multi-omics data.

María José Jiménez-Santos, Alba Nogueira-Rodríguez, Elena Piñeiro-Yáñez, Hugo López-Fernández, Santiago García-Martín, Paula Gómez-Plana, Miguel Reboiro-Jato, Gonzalo Gómez-López, Daniel Glez-Peña, Fátima Al-Shahrour

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
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  10. 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

10 authors.

María José Jiménez-SantosBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain.
Alba Nogueira-RodríguezCINBIO, Universidade de Vigo, Department of Computer Science, ESEI-Escuela Superior de Ingeniería Informática, 32004 Ourense, Spain.
Elena Piñeiro-YáñezBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain.
Hugo López-FernándezCINBIO, Universidade de Vigo, Department of Computer Science, ESEI-Escuela Superior de Ingeniería Informática, 32004 Ourense, Spain.
Santiago García-MartínBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain.
Paula Gómez-PlanaBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain.
Miguel Reboiro-JatoCINBIO, Universidade de Vigo, Department of Computer Science, ESEI-Escuela Superior de Ingeniería Informática, 32004 Ourense, Spain.
Gonzalo Gómez-LópezBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain.ORCID 0000-0002-4146-0551
Daniel Glez-PeñaCINBIO, Universidade de Vigo, Department of Computer Science, ESEI-Escuela Superior de Ingeniería Informática, 32004 Ourense, Spain.ORCID 0000-0002-6129-7245
Fátima Al-ShahrourBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain.ORCID 0000-0003-2373-769X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomics studies routinely confront researchers with long lists of tumor alterations detected in patients. Such lists are difficult to interpret since only a minority of the alterations are relevant biomarkers for diagnosis and for designing therapeutic strategies. PanDrugs is a methodology that facilitates the interpretation of tumor molecular alterations and guides the selection of personalized treatments. To do so, PanDrugs scores gene actionability and drug feasibility to provide a prioritized evidence-based list of drugs. Here, we introduce PanDrugs2, a major upgrade of PanDrugs that, in addition to somatic variant analysis, supports a new integrated multi-omics analysis which simultaneously combines somatic and germline variants, copy number variation and gene expression data. Moreover, PanDrugs2 now considers cancer genetic dependencies to extend tumor vulnerabilities providing therapeutic options for untargetable genes. Importantly, a novel intuitive report to support clinical decision-making is generated. PanDrugs database has been updated, integrating 23 primary sources that support >74K drug-gene associations obtained from 4642 genes and 14 659 unique compounds. The database has also been reimplemented to allow semi-automatic updates to facilitate maintenance and release of future versions. PanDrugs2 does not require login and is freely available at https://www.pandrugs.org/.

Indexed as

MultiomicsNeoplasmsDNA Copy Number VariationsGenomicsHumansPrecision Medicine

Identifiers

PMID37207338
PMCPMC10320188

What OpenQuestion holds

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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.