Evidence map›Paper›PMID 24718460›Full record

ArticlePloS one2014

Identification of thyroid carcinoma related genes with mRMR and shortest path approaches.

Yaping Xu, Yue Deng, Zhenhua Ji, Haibin Liu, Yueyang Liu, Hu Peng, Jian Wu, Jingping Fan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. 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
1.3field-weighted citation impact, top 21% 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, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Screening for Core Genes Related to Pathogenesis of Alzheimer's Disease.Frontiers in cell and developmental biology · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

8 authors at 2 institutions in 1 country.

Yaping XuDepartment of Otolaryngology head and neck surgery, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, China.
Yue DengDepartment of Otolaryngology head and neck surgery, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, China.
Zhenhua JiDepartment of Otolaryngology head and neck surgery, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, China.
Haibin LiuDepartment of Otolaryngology head and neck surgery, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, China.
Yueyang LiuDepartment of Otolaryngology head and neck surgery, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, China.
Hu PengDepartment of Otolaryngology head and neck surgery, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, China.
Jian WuDepartment of Otolaryngology head and neck surgery, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, China.
Jingping FanDepartment of Otolaryngology head and neck surgery, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, China.
Second Military Medical University · CNShanghai Changzheng Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid cancer is a malignant neoplasm originated from thyroid cells. It can be classified into papillary carcinomas (PTCs) and anaplastic carcinomas (ATCs). Although ATCs are in an very aggressive status and cause more death than PTCs, their difference is poorly understood at molecular level. In this study, we focus on the transcriptome difference among PTCs, ATCs and normal tissue from a published dataset including 45 normal tissues, 49 PTCs and 11 ATCs, by applying a machine learning method, maximum relevance minimum redundancy, and identified 9 genes (BCL2, MRPS31, ID4, RASAL2, DLG2, MY01B, ZBTB5, PRKCQ and PPP6C) and 1 miscRNA (miscellaneous RNA, LOC646736) as important candidates involved in the progression of thyroid cancer. We further identified the protein-protein interaction (PPI) sub network from the shortest paths among the 9 genes in a PPI network constructed based on STRING database. Our results may provide insights to the molecular mechanism of the progression of thyroid cancer.

Indexed as

AlgorithmsGenes, NeoplasmCarcinomaCarcinoma, PapillaryGenetic Association StudiesHumansNeoplasm ProteinsOligonucleotide Array Sequence AnalysisProtein Interaction MapsRNA, MessengerRNA, NeoplasmThyroid GlandThyroid NeoplasmsTissue Array AnalysisTranscriptomeNeoplasm ProteinsRNA, MessengerRNA, Neoplasm

Identifiers

PMID24718460
PMCPMC3981740
OpenAlexW2077092210

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.