Evidence map›Paper›PMID 28439256›Full record

ReviewFrontiers in endocrinology2017

The Role of Endocrine G Protein-Coupled Receptors in Ovarian Cancer Progression.

Qingyu Zhang, Nadine Ellen Madden, Alice Sze Tsai Wong, Billy Kwok Chong Chow, Leo Tsz On Lee

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

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  18. AOncology letters · 2018
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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 2 institutions in 2 countries.

Qingyu ZhangCentre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau.
Nadine Ellen MaddenCentre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau.
Alice Sze Tsai WongSchool of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.
Billy Kwok Chong ChowSchool of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.
Leo Tsz On LeeCentre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau.
University of Macau · MOUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is the seventh most common cancer in women and the most lethal gynecological cancer, causing over 151,000 deaths worldwide each year. Dysregulated production of endocrine hormones, known to have pluripotent effects on cell function through the activation of receptor signaling pathways, is believed to be a high-risk factor for ovarian cancer. An increasing body of evidence suggests that endocrine G protein-coupled receptors (GPCRs) are involved in the progression and metastasis of ovarian neoplasms. GPCRs are attractive drug targets because their activities are regulated by more than 25% of all drugs approved by the Food and Drug Administration. Therefore, understanding the role of endocrine GPCRs during ovarian cancer progression and metastasis will allow for the development of novel strategies to design effective chemotherapeutic drugs against malignant ovarian tumors. In this review, we address the signaling pathways and functional roles of several key endocrine GPCRs that are related to the cause, progression, and metastasis of ovarian cancer.

Indexed as

cell signalingendocrine systemG protein-coupled receptorovarian cancerpeptide hormone

Identifiers

PMID28439256
PMCPMC5383648
OpenAlexW2604645439

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.