Evidence map›Paper›PMID 31886230›Full record

ArticleBioMed research international2019

BTBD7 Downregulates E-Cadherin and Promotes Epithelial-Mesenchymal Transition in Lung Cancer.

Jie Shu, Lin Wang, Fei Han, Yubin Chen, Shunjun Wang, Fanyan Luo

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 25 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Jie ShuDepartment of Cardiothoracic Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
Lin WangDepartment of Cardiothoracic Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
Fei HanDepartment of Cardiothoracic Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
Yubin ChenDepartment of Cardiothoracic Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
Shunjun WangDepartment of Cardiothoracic Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
Fanyan LuoDepartment of Cardiothoracic Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.ORCID https://orcid.org/0000-0002-1195-4585
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis is the leading cause of lung cancer-associated death. Downregulated expression of E-cadherin followed by epithelial-mesenchymal transition (EMT) is critical for metastasis initiation in lung cancer. BTBD7 plays essential roles in lung cancer metastasis, but the mechanisms remain unknown. This study aimed to investigate the relationship between BTBD7 and E-cadherin in lung cancer and explore the role of BTBD7 in EMT. Fresh lung cancer and paracancer tissue specimens were collected from 30 patients, and the expression of BTBD7, E-cadherin, N-cadherin, fibronectin, and vimentin was analyzed by qRT-PCR, western blotting, and immunohistochemistry. A549 and HBE cells were cultured and treated with TGF-

Indexed as

Adaptor Proteins, Signal TransducingA549 CellsAnimalsAntigens, CDCadherinsCell LineDown-RegulationEpithelial-Mesenchymal TransitionGene Expression Regulation, NeoplasticHumansLung NeoplasmsMiceMice, Inbred BALB CMice, NudeAdaptor Proteins, Signal TransducingAntigens, CDBTBD7 protein, humanCadherinsCDH1 protein, human

Identifiers

PMID31886230
PMCPMC6900955
OpenAlexW2990903393

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.