Evidence map›Paper›PMID 26791325›Full record

ArticleScientific reports2016

Predicting chemotherapeutic drug combinations through gene network profiling.

Thi Thuy Trang Nguyen, Jacqueline Kia Kee Chua, Kwi Shan Seah, Seok Hwee Koo, Jie Yin Yee, Eugene Guorong Yang, Kim Kiat Lim, Shermaine Yu Wen Pang, Audrey Yuen, Louxin Zhang and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A single mNature communications · 2021
    Article
  9. Article
  10. Diagnostics (Basel, Switzerland) · 2021
    Review
  11. Review
  12. Review
  13. Article
  14. Targeting epigenetics using synthetic lethality in precision medicine.Cellular and molecular life sciences : CMLS · 2018
    Review
  15. Article
  16. Article
  17. PomBase: The Scientific Resource for Fission Yeast.Methods in molecular biology (Clifton, N.J.) · 2018
    Review
  18. Article
  19. Cellular factories for coenzyme QMicrobial cell factories · 2017
    Review
  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

14 authors.

Thi Thuy Trang NguyenDepartment of Biochemistry, National University of Singapore, Singapore.
Jacqueline Kia Kee ChuaDepartment of Biochemistry, National University of Singapore, Singapore.
Kwi Shan SeahDepartment of Biochemistry, National University of Singapore, Singapore.
Seok Hwee KooDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Jie Yin YeeNational University Health System (NUHS), Singapore.
Eugene Guorong YangDepartment of Pharmacy, Faculty of Science, National University of Singapore, Singapore.
Kim Kiat LimDepartment of Biochemistry, National University of Singapore, Singapore.
Shermaine Yu Wen PangDepartment of Biochemistry, National University of Singapore, Singapore.
Audrey YuenSchool of Chemical and Life Sciences, Singapore Polytechnic, Singapore.
Louxin ZhangDepartment of Mathematics, Faculty of Science, National University of Singapore, Singapore.
Wee Han AngNUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore.
Brian DymockDepartment of Pharmacy, Faculty of Science, National University of Singapore, Singapore.
Edmund Jon Deoon LeeNational University Health System (NUHS), Singapore.
Ee Sin ChenDepartment of Biochemistry, National University of Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contemporary chemotherapeutic treatments incorporate the use of several agents in combination. However, selecting the most appropriate drugs for such therapy is not necessarily an easy or straightforward task. Here, we describe a targeted approach that can facilitate the reliable selection of chemotherapeutic drug combinations through the interrogation of drug-resistance gene networks. Our method employed single-cell eukaryote fission yeast (Schizosaccharomyces pombe) as a model of proliferating cells to delineate a drug resistance gene network using a synthetic lethality workflow. Using the results of a previous unbiased screen, we assessed the genetic overlap of doxorubicin with six other drugs harboring varied mechanisms of action. Using this fission yeast model, drug-specific ontological sub-classifications were identified through the computation of relative hypersensitivities. We found that human gastric adenocarcinoma cells can be sensitized to doxorubicin by concomitant treatment with cisplatin, an intra-DNA strand crosslinking agent, and suberoylanilide hydroxamic acid, a histone deacetylase inhibitor. Our findings point to the utility of fission yeast as a model and the differential targeting of a conserved gene interaction network when screening for successful chemotherapeutic drug combinations for human cells.

Indexed as

Antineoplastic AgentsCell Line, TumorCell ProliferationDoxorubicinDrug CombinationsDrug Resistance, MultipleDrug Resistance, NeoplasmDrug Screening Assays, AntitumorGene Expression ProfilingGene Expression Regulation, FungalGene Regulatory NetworksHumansMutationSchizosaccharomycesAntineoplastic AgentsDoxorubicinDrug Combinations

Identifiers

PMID26791325
PMCPMC4726371

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.