Evidence map›Paper›PMID 35191375›Full record

ArticleeLife2022

A survey of optimal strategy for signature-based drug repositioning and an application to liver cancer.

Chen Yang, Hailin Zhang, Mengnuo Chen, Siying Wang, Ruolan Qian, Linmeng Zhang, Xiaowen Huang, Jun Wang, Zhicheng Liu, Wenxin Qin and 3 more

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers.

0numbers the graph read from it
0cells of the map it votes in
114citing 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

114 citing papers in PubMed.

  1. Article
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  4. Review
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  11. Article
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  15. Article
  16. AΙ-Driven Drug Repurposing: Applications and Challenges.Medicines (Basel, Switzerland) · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Article

54 more citing papers are in PubMed but not listed here.

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

13 authors.

Chen Yang *State Key Laboratory of Oncogenes and Related Genes, Department of Liver Surgery & Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-1237-2632
Hailin Zhang *State Key Laboratory of Oncogenes and Related Genes, Department of Liver Surgery & Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mengnuo Chen *State Key Laboratory of Oncogenes and Related Genes, Department of Liver Surgery & Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Siying Wang *State Key Laboratory of Oncogenes and Related Genes, Department of Liver Surgery & Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ruolan QianState Key Laboratory of Oncogenes and Related Genes, Department of Liver Surgery & Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Linmeng ZhangState Key Laboratory of Oncogenes and Related Genes, Department of Liver Surgery & Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaowen HuangKey Laboratory of Gastroenterology and Hepatology, Division of Gastroenterology and Hepatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jun WangState Key Laboratory of Oncogenes and Related Genes, Department of Liver Surgery & Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhicheng LiuHepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wenxin QinState Key Laboratory of Oncogenes and Related Genes, Department of Liver Surgery & Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Cun WangState Key Laboratory of Oncogenes and Related Genes, Department of Liver Surgery & Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-4977-2189
Hualian HangState Key Laboratory of Oncogenes and Related Genes, Department of Liver Surgery & Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hui WangState Key Laboratory of Oncogenes and Related Genes, Department of Liver Surgery & Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-4947-9537

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacologic perturbation projects, such as Connectivity Map (CMap) and Library of Integrated Network-based Cellular Signatures (LINCS), have produced many perturbed expression data, providing enormous opportunities for computational therapeutic discovery. However, there is no consensus on which methodologies and parameters are the most optimal to conduct such analysis. Aiming to fill this gap, new benchmarking standards were developed to quantitatively evaluate drug retrieval performance. Investigations of potential factors influencing drug retrieval were conducted based on these standards. As a result, we determined an optimal approach for LINCS data-based therapeutic discovery. With this approach, homoharringtonine (HHT) was identified to be a candidate agent with potential therapeutic and preventive effects on liver cancer. The antitumor and antifibrotic activity of HHT was validated experimentally using subcutaneous xenograft tumor model and carbon tetrachloride (CCL

Indexed as

Drug RepositioningLiver NeoplasmsComputational BiologyHumansReproducibility of Resultscancer biologyconnectivity mapdrug predictionhomoharringtoninehumanLINCSliver cancer

Identifiers

PMID35191375
PMCPMC8893721

What OpenQuestion holds

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LicenceCC BY
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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.