Evidence map›Paper›PMID 37410228›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

A Drug Repurposing Pipeline Based on Bladder Cancer Integrated Proteotranscriptomics Signatures.

Marika Mokou, Shaman Narayanasamy, Rafael Stroggilos, Irina-Afrodita Balaur, Antonia Vlahou, Harald Mischak, Maria Frantzi

Abstract read
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Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Repurposing Amiodarone for Bladder Cancer Treatment.Cancer research communications · 2025
    Article
  3. Article
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

7 authors.

Marika MokouDepartment of Biomarker Research, Mosaiques Diagnostics, Hannover, Germany. mokou@mosaiques-diagnostics.com.
Shaman Narayanasamy *Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Rafael Stroggilos *Systems Biology Center, Biomedical Research Foundation, Academy of Athens, Athens, Greece.
Irina-Afrodita BalaurLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Antonia VlahouSystems Biology Center, Biomedical Research Foundation, Academy of Athens, Athens, Greece.
Harald MischakDepartment of Biomarker Research, Mosaiques Diagnostics, Hannover, Germany.
Maria FrantziDepartment of Biomarker Research, Mosaiques Diagnostics, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delivering better care for patients with bladder cancer (BC) necessitates the development of novel therapeutic strategies that address both the high disease heterogeneity and the limitations of the current therapeutic modalities, such as drug low efficacy and patient resistance acquisition. Drug repurposing is a cost-effective strategy that targets the reuse of existing drugs for new therapeutic purposes. Such a strategy could open new avenues toward more effective BC treatment. BC patients' multi-omics signatures can be used to guide the investigation of existing drugs that show an effective therapeutic potential through drug repurposing. In this book chapter, we present an integrated multilayer approach that includes cross-omics analyses from publicly available transcriptomics and proteomics data derived from BC tissues and cell lines that were investigated for the development of disease-specific signatures. These signatures are subsequently used as input for a signature-based repurposing approach using the Connectivity Map (CMap) tool. We further explain the steps that may be followed to identify and select existing drugs of increased potential for repurposing in BC patients.

Indexed as

Drug RepositioningUrinary Bladder NeoplasmsGene Expression ProfilingHumansProteomicsBladder cancerDrugsOmicsProteomicsRepurposingSignatureTranscriptomics

Identifiers

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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.