Evidence map›Paper›PMID 34745968›Full record

ArticleFrontiers in oncology2021

Identification of Novel Drug Candidate for Epithelial Ovarian Cancer

Dan Zou, Jin Bai, Enting Lu, Chunjiao Yang, Jiaqing Liu, Zhenpeng Wen, Xuqin Liu, Zi Jin, Mengdan Xu, Lei Jiang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. 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

12 authors at 5 institutions in 1 country.

Dan ZouThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.
Jin BaiThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.
Enting LuDepartment of Gynecology, First Hospital of China Medical University, Shenyang, China.
Chunjiao YangThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.
Jiaqing LiuThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.
Zhenpeng WenThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.
Xuqin LiuThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.
Zi JinThe First Department of Oncology, Shenyang Fifth People's Hospital, Shenyang, China.
Mengdan XuThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.
Lei JiangThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.
Ye ZhangThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.
Yi ZhangDepartment of Gynecology, First Hospital of China Medical University, Shenyang, China.
China Medical University · CNFirst Hospital of China Medical University · CNLiaoning Cancer Hospital & Institute · CNShanghai East Hospital · CNShenyang Fifth People Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial ovarian cancer (EOC) has a poor prognosis and high mortality rate; patients are easy to relapse with standard therapies. So, there is an urgent need to develop novel drugs. In this study, differentially expressed genes (DEGs) of EOC were identified in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Enrichment and protein-protein interaction (PPI) analyses were performed. The drug candidate which has the possibility to treat EOC was predicted by Connectivity Map (CMAP) databases. Moreover, molecular docking was selected to calculate the binding affinity between drug candidate and hub genes. The cytotoxicity of drug candidates was assessed by MTT and colony formation analysis, the proteins coded by hub genes were detected by Western blots, and apoptosis analysis was evaluated by flow cytometry. Finally, 296 overlapping DEGs (|log 2 fold change|>1; q-value <0.05), which were principally involved in the cell cycle (p < 0.05), and cyclin-dependent kinase 1 (CDK1) were screened as the significant hub gene from the PPI network. Furthermore, the 21 drugs were extracted from CMAPs; among them, piperlongumine (PL) showed a lower CMAP score (-0.80, -62.92) and was regarded as the drug candidate. Furthermore, molecular docking results between PL and CDK1 with a docking score of -8.121 kcal/mol were close to the known CDK1 inhibitor (-8.24 kcal/mol). Additionally,

Indexed as

CDK1cell cycleepithelial ovarian cancermolecular dockingpiperlongumine

Identifiers

PMID34745968
PMCPMC8568458
OpenAlexW3206873354

What OpenQuestion holds

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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.