Evidence map›Paper›PMID 33101466›Full record

ArticleExperimental and therapeutic medicine2020

Small interfering RNA-mediated knockdown of KRT80 suppresses colorectal cancer proliferation.

Jiatian Lin, Xiaoqin Fan, Junhui Chen, Xina Xie, Hongjian Yu

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Keratin 80 Promotes Migration and Invasion of Non-Small Cell Lung Cancer Cells by Regulating the TGF-Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  10. Article
  11. Article
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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

5 authors at 3 institutions in 1 country.

Jiatian LinDepartment of Minimally Invasive Intervention, Peking University Shenzhen Hospital, Shenzhen, Guangdong 518036, P.R. China.
Xiaoqin FanDepartment of Otolaryngology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, P.R. China.
Junhui ChenDepartment of Minimally Invasive Intervention, Peking University Shenzhen Hospital, Shenzhen, Guangdong 518036, P.R. China.
Xina XieGuangdong Key Laboratory of Systems and Synthetic Biology for Urogenital Tumors, Institute of Translational Medicine, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong 518035, P.R. China.
Hongjian YuDepartment of Minimally Invasive Intervention, Peking University Shenzhen Hospital, Shenzhen, Guangdong 518036, P.R. China.
Peking University Shenzhen Hospital · CNShenzhen Second People's Hospital · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most common cancer in the world and its development is associated with oncogenic dysfunction. Therefore, the present study aimed to identify differentially expressed genes (DEGs) in CRC tissues and to determine the role of keratin 80 (KRT80) in CRC cell proliferation. DEGs were initially screened in 32 paired CRC tissues and matched adjacent normal tissues from RNA-Seq datasets in The Cancer Genome Atlas database using the limma package in R software. In total, 2,114 DEGs were identified, of which

Indexed as

cell cyclecolorectal cancerDNA replicationkeratin 80proliferation

Identifiers

PMID33101466
PMCPMC7579811
OpenAlexW3092378555

What OpenQuestion holds

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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.