Evidence map›Paper›PMID 35695911›Full record

ReviewNaunyn-Schmiedeberg's archives of pharmacology2022

Drug repurposing-an emerging strategy in cancer therapeutics.

Khadija Shahab Turabi, Ankita Deshmukh, Sayan Paul, Dayanand Swami, Shafina Siddiqui, Urwashi Kumar, Shreelekha Naikar, Shine Devarajan, Soumya Basu, Manash K Paul and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Naunyn-Schmiedeberg's archives of pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Old drugs, new weapons: current trends in repurposing therapies against antimicrobial resistance.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

11 authors.

Khadija Shahab Turabi *School of Biotechnology and Bioinformatics, DY Patil Deemed to Be University, CBD Belapur, Navi Mumbai, Maharashtra, 400614, India.ORCID http://orcid.org/0000-0002-0372-6435
Ankita Deshmukh *School of Biotechnology and Bioinformatics, DY Patil Deemed to Be University, CBD Belapur, Navi Mumbai, Maharashtra, 400614, India.ORCID http://orcid.org/0000-0002-0990-7392
Sayan PaulCentre for Cardiovascular Biology and Disease, Institute for Stem Cell Science and Regenerative Medicine (inStem), Bangalore, 560065, India.ORCID http://orcid.org/0000-0001-6620-950X
Dayanand SwamiSchool of Biotechnology and Bioinformatics, DY Patil Deemed to Be University, CBD Belapur, Navi Mumbai, Maharashtra, 400614, India.ORCID http://orcid.org/0000-0002-8840-4768
Shafina SiddiquiSchool of Biotechnology and Bioinformatics, DY Patil Deemed to Be University, CBD Belapur, Navi Mumbai, Maharashtra, 400614, India.ORCID http://orcid.org/0000-0002-0889-6767
Urwashi KumarSchool of Biotechnology and Bioinformatics, DY Patil Deemed to Be University, CBD Belapur, Navi Mumbai, Maharashtra, 400614, India.ORCID http://orcid.org/0000-0003-1252-6942
Shreelekha NaikarSchool of Biotechnology and Bioinformatics, DY Patil Deemed to Be University, CBD Belapur, Navi Mumbai, Maharashtra, 400614, India.ORCID http://orcid.org/0000-0001-6842-5724
Shine DevarajanSchool of Biotechnology and Bioinformatics, DY Patil Deemed to Be University, CBD Belapur, Navi Mumbai, Maharashtra, 400614, India.ORCID http://orcid.org/0000-0003-2133-8011
Soumya BasuCancer and Translational Research Centre, Dr. D. Y. Patil Biotechnology & Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, 411033, India.ORCID http://orcid.org/0000-0002-1726-0154
Manash K PaulDivision of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA. manashp@ucla.edu.ORCID http://orcid.org/0000-0002-9404-0024
Jyotirmoi AichSchool of Biotechnology and Bioinformatics, DY Patil Deemed to Be University, CBD Belapur, Navi Mumbai, Maharashtra, 400614, India. jyoti.aich@gmail.com.ORCID http://orcid.org/0000-0002-6180-3785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a complex disease affecting millions of people around the world. Despite advances in surgical and radiation therapy, chemotherapy continues to be an important therapeutic option for the treatment of cancer. The current treatment is expensive and has several side effects. Also, over time, cancer cells develop resistance to chemotherapy, due to which there is a demand for new drugs. Drug repurposing is a novel approach that focuses on finding new applications for the old clinically approved drugs. Current advances in the high-dimensional multiomics landscape, especially proteomics, genomics, and computational omics-data analysis, have facilitated drug repurposing. The drug repurposing approach provides cheaper, effective, and safe drugs with fewer side effects and fastens the process of drug development. The review further delineates each repurposed drug's original indication and mechanism of action in cancer. Along with this, the article also provides insight upon artificial intelligence and its application in drug repurposing. Clinical trials are vital for determining medication safety and effectiveness, and hence the clinical studies for each repurposed medicine in cancer, including their stages, status, and National Clinical Trial (NCT) identification, are reported in this review article. Various emerging evidences imply that repurposing drugs is critical for the faster and more affordable discovery of anti-cancerous drugs, and the advent of artificial intelligence-based computational tools can accelerate the translational cancer-targeting pipeline.

Indexed as

Antineoplastic AgentsNeoplasmsArtificial IntelligenceDrug RepositioningHumansAntineoplastic AgentsAntibacterial drugs (antibiotics)Artificial IntelligenceCancerCOX inhibitor (NSAIDs)Drug repurposingHMG-CoA reductase inhibitors (statins)Metformin

Identifiers

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.