Evidence map›Paper›PMID 29245917›Full record

ArticleOncotarget2017

Inhibition of ZEB1 leads to inversion of metastatic characteristics and restoration of paclitaxel sensitivity of chronic chemoresistant ovarian carcinoma cells.

Jun Sakata, Fumi Utsumi, Shiro Suzuki, Kaoru Niimi, Eiko Yamamoto, Kiyosumi Shibata, Takeshi Senga, Fumitaka Kikkawa, Hiroaki Kajiyama

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.1field-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

27 citing papers in PubMed, 46 citations in OpenAlex.

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  14. TGF-β Signaling: From Tissue Fibrosis to Tumor Microenvironment.International journal of molecular sciences · 2021
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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

9 authors at 2 institutions in 1 country.

Jun SakataDepartment of Obstetrics and Gynecology, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Fumi UtsumiDepartment of Obstetrics and Gynecology, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Shiro SuzukiDepartment of Obstetrics and Gynecology, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Kaoru NiimiDepartment of Obstetrics and Gynecology, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Eiko YamamotoDepartment of Healthcare Administration, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Kiyosumi ShibataDepartment of Obstetrics and Gynecology, Banbuntane Hotokukai, Fujita Health University, Fujita, Japan.
Takeshi SengaDivision of Tumor Biology, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Fumitaka KikkawaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Hiroaki KajiyamaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Nagoya University · JPFujita Health University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ZEB1, a member of the zinc-finger E-box binding homeobox family, is considered to play a crucial role in cancer progression and metastasis. In the current study, we investigated the role of ZEB1 in metastasis and chronic chemoresistance of epithelial ovarian carcinoma (EOC) cells. Using several EOC and acquired paclitaxel (PTX)-resistant EOC cell lines, we investigated whether silencing ZEB1 led to a reversal of the chemoresistance and metastatic potential

Indexed as

chemoresistanceepithelial-mesenchymal transitionepithelial ovarian carcinomametastasisZEB1

Identifiers

PMID29245917
PMCPMC5725108
OpenAlexW2745303435

What OpenQuestion holds

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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.