Evidence map›Paper›PMID 30680340›Full record

ArticleJournal of the Endocrine Society2019

Follicle-Stimulating Hormone Is an Autocrine Regulator of the Ovarian Cancer Metastatic Niche Through Notch Signaling.

Sakshi Gera, Sandeep Kumar S, Shalini N Swamy, Rahul Bhagat, Annapurna Vadaparty, Ramesh Gawari, Ramray Bhat, Rajan R Dighe

Open access · goldAbstract read
In one paragraph

Article in Journal of the Endocrine Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 13 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

8 authors at 3 institutions in 1 country.

Sakshi GeraDepartment of Molecular Reproduction Development and Genetics, Indian Institute of Science, Bengaluru, India.
Sandeep Kumar SDepartment of Biochemistry, Kidwai Cancer Institute, Bengaluru, India.
Shalini N SwamyDepartment of Biochemistry, Kidwai Cancer Institute, Bengaluru, India.
Rahul BhagatDepartment of Biochemistry, Sri Shankara Cancer Hospital and Research Centre, Bengaluru, India.
Annapurna VadapartyDepartment of Biochemistry, Sri Shankara Cancer Hospital and Research Centre, Bengaluru, India.
Ramesh GawariDepartment of Biochemistry, Kidwai Cancer Institute, Bengaluru, India.
Ramray BhatDepartment of Molecular Reproduction Development and Genetics, Indian Institute of Science, Bengaluru, India.
Rajan R DigheDepartment of Molecular Reproduction Development and Genetics, Indian Institute of Science, Bengaluru, India.ORCID 0000-0003-0266-855X
Cancer Institute (WIA) · INIndian Institute of Science Bangalore · INCancer Hospital and Research Institute · IN

Funding

DBT-Wellcome Trust India Alliance IA/I/17/2/503312Wellcome Trust
6 · The paper itself

Abstract

The association between the upregulated Notch and FSH signaling and ovarian cancer is well documented. However, their signaling has been investigated independently and only in the primary tumor tissues. The aim of this study was to investigate the interactive effects of FSH and Notch signaling on ovarian cancer proliferation, formation, and maintenance of disseminated ovarian cancer cells. The roles of Notch and FSH in ovarian cancer pathogenesis were investigated with ovarian cancer cell lines and specific antibodies against Notch and FSH receptor (FSHR). FSH upregulated Notch signaling and proliferation in ovarian cancer cells. High levels of FSH were detected in the ascites of patients with serous ovarian adenocarcinoma. Spheroids from the patients' ascites, as well as the spheroids from ovarian cancer cell lines under low attachment culture conditions, expressed

Identifiers

PMID30680340
PMCPMC6334270
OpenAlexW2951744398

What OpenQuestion holds

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Registered trials

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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.