Evidence map›Paper›PMID 34336701›Full record

ArticleFrontiers in oncology2021

ER-α36 Promotes the Malignant Progression of Cervical Cancer Mediated by Estrogen

Chunyan Wang, Tianli Zhang, Kun Wang, Shuo Zhang, Qing Sun, Xingsheng Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. 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
1.1field-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

12 citing papers in PubMed, 11 citations in OpenAlex.

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  12. Sex Influences Age-Related Changes in Natural Antibodies and CD5Journal of immunology (Baltimore, Md. : 1950) · 2022
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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 2 institutions in 1 country.

Chunyan WangDepartment of Obstetrics and Gynecology, Qilu Hospital, Shandong University, Jinan, China.
Tianli ZhangDepartment of Obstetrics and Gynecology, Qilu Hospital, Shandong University, Jinan, China.
Kun WangDepartment of Obstetrics and Gynecology, Qilu Hospital, Shandong University, Jinan, China.
Shuo ZhangDepartment of Obstetrics and Gynecology, Qilu Hospital, Shandong University, Jinan, China.
Qing SunSchool of Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China.
Xingsheng YangDepartment of Obstetrics and Gynecology, Qilu Hospital, Shandong University, Jinan, China.
Qilu Hospital of Shandong University · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEstrogen is proven to promote the malignant behaviors of many cancers

methodsImmunohistochemistry staining was used to evaluate the expression of ER-α36, estrogen receptor alfa 66 (ER-α66) and their prognostic values in cervical cancer. The effects of ER-α36 and ER-α66 on the proliferation and metastasis of cervical cancer were measured

resultsER-α36 was over-expressed in cervical cancer tissues and elevated ER-α36 expression was associated with poor prognosis in cervical cancer patients. High expression of ER-α36 promoted the proliferation, invasion and metastasis of cervical cancer cells mediated by estrogen, while silencing ER-α36 had the opposite effects. Further research showed that HMGA2 was a downstream target of ER-α36 in cervical cancer cells. The oncogenic effect of ER-α36 was attenuated after HMGA2 knockdown.

conclusionsHigh expression of ER-α36 was correlated with a poor prognosis in cervical cancer by regulating HMGA2. ER-α36 could be a prognostic biomarker and a target for cervical cancer treatment.

Indexed as

cervical cancerER-α36HMGA2metastasisproliferation

Identifiers

PMID34336701
PMCPMC8317436
OpenAlexW3179562107

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.