Evidence map›Paper›PMID 33653351›Full record

ArticleCancer cell international2021

Comprehensive analysis of the transcriptome-wide m

Zhenyuan Han, Biao Yang, Qin Wang, Yuhua Hu, Yuqiong Wu, Zhen Tian

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Transcriptome-wide mFrontiers in oncology · 2022
    Article
  10. Article
  11. Article
  12. Research progress concerning mOncology letters · 2021
    Review
  13. Article
  14. Frontiers in immunology · 2021
    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

6 authors at 4 institutions in 2 countries.

Zhenyuan Han *Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Biao Yang *Department of Neurosurgery, Huashan Hospital of Fudan University, Shanghai, 200040, China.
Qin Wang *Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
Yuhua HuDepartment of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Yuqiong WuNational Clinical Research Center for Oral Diseases, Shanghai, 200011, China. wyq192131@126.com.
Zhen TianDepartment of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China. tianzhen_256@126.com.ORCID http://orcid.org/0000-0003-4093-8469
Shanghai Jiao Tong University · CNFudan University · CNNational Clinical Research Center for Digestive Diseases · CNTongji University · CN

Funding

Natural Science Foundation of Shanghai 18ZR1422200
6 · The paper itself

Abstract

backgroundInvasive malignant pleomorphic adenoma (IMPA) is a highly invasive parotid gland tumor and lacks effective therapy. N6-Methyladenosine (m

methodsMethylated RNA immunoprecipitation with next-generation sequencing (MeRIP-seq) and RNA sequencing (RNA-seq) were utilized to acquire the first transcriptome-wide profiling of the m

resultsIn this study, we obtained m

conclusionsOur study is the first to provide comprehensive and transcriptome-wide profiles to determine the potential roles played by m

Indexed as

Malignant pleomorphic adenomaMeRIP-seqN6-Methyladenosine

Identifiers

PMID33653351
PMCPMC7923655
OpenAlexW3135175239

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.