Evidence map›Paper›PMID 32111180›Full record

ArticleBMC cancer2020

Multiple m

Nanfang Qu, Sanyu Qin, Xuemei Zhang, Xiaotong Bo, Zhengchun Liu, Chao Tan, Guiqiong Wen, Haixing Jiang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Clinical significance of RNA methylation in hepatocellular carcinoma.Cell communication and signaling : CCS · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. NCancers · 2022
    Review
  11. Role of main RNA modifications in cancer: NSignal transduction and targeted therapy · 2022
    Review
  12. mExperimental hematology & oncology · 2022
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. NCancer communications (London, England) · 2021
    Review
  19. Article
  20. Observational
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

8 authors at 3 institutions in 1 country.

Nanfang QuDepartment of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Sanyu QinDepartment of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Xuemei ZhangDepartment of Pathology, Affiliated Hospital of Guilin Medical University, Guilin, 541000, China.
Xiaotong BoDepartment of Gastroenterology, Affiliated Hospital of Guilin Medical University, Guilin, 541000, China.
Zhengchun LiuDepartment of Radiotherapy, Affiliated Hospital of Guilin Medical University, Guilin, 541000, China.
Chao TanSchool of Public Health, Guilin Medical University, Guilin, 541000, China.
Guiqiong WenDepartment of B Ultrasound, Affiliated Hospital of Guilin Medical University, Guilin, 541000, China.
Haixing JiangDepartment of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China. bosjianghx@163.com.
Guilin Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CNGuangxi Medical University · CN

Funding

Guangxi key research and development plan Guike AB1850007Guangxi Natural Science Foundation 2018GXNSFBA050042National Natural Science Foundation of China 81802478
6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is the second most common cause of cancer-related death in the world. N

methodsFirst, using data from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases, we compared the expression levels of 13 major m6A RNA methylation modulators between HCC and normal tissues. Second, we applied consensus clustering to the expression data on the m

resultsWe found that the expression levels of 12 major m6A RNA methylation modulators were significantly different between HCC and normal tissues. After dividing the HCC tissues into clusters 1 and 2, we found that cluster 2 had poorer OS, higher WHO stage, and higher pathological grade. Four m

conclusionsIn summary, m

Indexed as

AdenosineBiomarkers, TumorCarcinoma, HepatocellularDisease ProgressionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLiver NeoplasmsMaleMethyltransferasesNeoplasm GradingPrognosisRNA-Binding ProteinsSequence Analysis, RNAAdenosineBiomarkers, TumorMethyltransferasesMETTL3 protein, humanN-methyladenosineRNA-Binding ProteinsVIRMA protein, humanYTHDF1 protein, humanYTHDF2 protein, humanLiver hepatocellular carcinomam6APrognosisRNA methylation

Identifiers

PMID32111180
PMCPMC7047390
OpenAlexW3011816316

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.