Evidence map›Paper›PMID 33738135›Full record

ArticleMolecular therapy. Nucleic acids2021

Comprehensive characterization of a drug-resistance-related ceRNA network across 15 anti-cancer drug categories.

Bing Liu, Xiaorui Zhou, Dongyuan Wu, Xuesong Zhang, Xiuyun Shen, Kai Mi, Zhangyi Qu, Yanan Jiang, Desi Shang

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Interplay between LncRNAs and microRNAs in Breast Cancer.International journal of molecular sciences · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Tamoxifen resistance-related ceRNA network for breast cancer.Frontiers in cell and developmental biology · 2022
    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

9 authors at 2 institutions in 1 country.

Bing LiuDepartment of Biopharmaceutical Sciences, College of Pharmacy, Harbin Medical University, Harbin 150081, P.R. China.
Xiaorui ZhouBGI Education Center, University of Chinese Academy of Sciences, Shenzhen 518083, P.R. China.
Dongyuan WuDepartment of Pharmacy, Harbin Medical University Cancer Hospital, Harbin 150030, P.R. China.
Xuesong ZhangDepartment of Stomatology, 962 Hospital of PLA, Harbin 150080, P.R. China.
Xiuyun ShenDepartment of Pharmacology (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin 150081, P.R. China.
Kai MiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, P.R. China.
Zhangyi QuDepartment of Biopharmaceutical Sciences, College of Pharmacy, Harbin Medical University, Harbin 150081, P.R. China.
Yanan JiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, P.R. China.
Desi ShangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, P.R. China.
Harbin Medical University · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is still a major health problem around the world. The treatment failure of cancer has largely been attributed to drug resistance. Competitive endogenous RNAs (ceRNAs) are involved in various biological processes and thus influence the drug sensitivity of cancers. However, a comprehensive characterization of drug-sensitivity-related ceRNAs has not yet been performed. In the present study, we constructed 15 ceRNA networks across 15 anti-cancer drug categories, involving 217 long noncoding RNAs (lncRNAs), 158 microRNAs (miRNAs), and 1,389 protein coding genes (PCGs). We found that these ceRNAs were involved in hallmark processes such as "self-sufficiency in growth signals," "insensitivity to antigrowth signals," and so on. We then identified an intersection ceRNA network (ICN) across the 15 anti-cancer drug categories. We further identified interactions between genes in the ICN and clinically actionable genes (CAGs) by analyzing the co-expressions, protein-protein interactions, and transcription factor-target gene interactions. We found that certain genes in the ICN are correlated with CAGs. Finally, we found that genes in the ICN were aberrantly expressed in tumors, and some were associated with patient survival time and cancer stage.

Indexed as

ceRNA networkdrug resistancelncRNAPan-cancer

Identifiers

PMID33738135
PMCPMC7933708
OpenAlexW3131517039

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.