Evidence map›Paper›PMID 28386367›Full record

ArticleAmerican journal of translational research2017

Targeting TGF-β1 suppresses survival of and invasion by anaplastic thyroid carcinoma cells.

Wenhai Sun, Yanyan Xu, Cheng Zhao, Fengyun Hao, Dong Chen, Jinping Guan, Kejun Zhang

Abstract read
In one paragraph

Article in American journal of translational research, 2017. 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
–field-weighted citation impact
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.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Cell Component and Function of Tumor Microenvironment in Thyroid Cancer.International journal of molecular sciences · 2022
    Review
  6. Article
  7. Review
  8. Acceleration of BRAFEndocrine · 2020
    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

7 authors.

Wenhai SunDepartment of Thyroid Surgery, The Affiliated Hospital of Qingdao University Qingdao, China.
Yanyan XuDepartment of Clinical Laboratory, People's Hospital of Chengyang Qingdao, China.
Cheng ZhaoDepartment of Ultrasonic Diagnosis, The Affiliated Hospital of Qingdao University Qingdao, China.
Fengyun HaoDepartment of Pathology, The Affiliated Hospital of Qingdao University Qingdao, China.
Dong ChenDepartment of Pathology, The Affiliated Hospital of Qingdao University Qingdao, China.
Jinping GuanDepartment of General Surgery, The Affiliated Hospital of Qingdao University Qingdao, China.
Kejun ZhangDepartment of Thyroid Surgery, The Affiliated Hospital of Qingdao University Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsOverexpression of transforming growth factor (TGF)-β1 has been implicated in promoting cell survival, migration and invasion in many cancers, including anaplastic thyroid cancer (ATC). In the present study, we studied the effect of suppressing TGF-β1 by RNA silencing on the survival, invasion and metastasis of ATC cells.

methodsSmall interfering RNA (siRNA) constructs targeting TGF-β1 were validated and used to develop clonal derivatives of the ATC cell line, 8505C. The cells were used in several

resultsTargeting TGF-β1 expression in 8505C cells caused a 70% decrease in migration and a 78% decrease in invasion, as well as a 68% decrease in proliferation and a 19% increase in apoptosis

conclusionsTargeting TGF-β1 may be effective in inhibiting primary tumor formation, but not metastasis, by ATC cells. TGF-β1 inhibition in combination with other tumor-targeted therapies may be more effective in inhibiting ATC.

Indexed as

Anaplastic thyroid cancermetastasisTGF-β1

Identifiers

PMID28386367
PMCPMC5376032

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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.