Evidence map›Paper›PMID 28599499›Full record

ArticleOncology letters2017

Comparative secretome of ovarian serous carcinoma: Gelsolin in the spotlight.

Sandra Pierredon, Pascale Ribaux, Jean-Christophe Tille, Patrick Petignat, Marie Cohen

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. 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
0.9field-weighted citation impact, top 27% 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, 18 citations in OpenAlex.

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  7. Role of lncRNA-ATB in ovarian cancer and its mechanisms of action.Experimental and therapeutic medicine · 2020
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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 1 institution in 1 country.

Sandra PierredonDepartment of Gynecology and Obstetrics, Faculty of Medicine, Geneva University Hospital, 1211 Geneva 14, Switzerland.
Pascale RibauxDepartment of Gynecology and Obstetrics, Faculty of Medicine, Geneva University Hospital, 1211 Geneva 14, Switzerland.
Jean-Christophe TilleDepartment of Pathology, Geneva University Hospital, 1211 Geneva 14, Switzerland.
Patrick PetignatDepartment of Gynecology and Obstetrics, Faculty of Medicine, Geneva University Hospital, 1211 Geneva 14, Switzerland.
Marie CohenDepartment of Gynecology and Obstetrics, Faculty of Medicine, Geneva University Hospital, 1211 Geneva 14, Switzerland.
University Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is one of the most common types of reproductive cancer, and has the highest mortality rate amongst gynecological cancer subtypes. The majority of ovarian cancers are diagnosed at an advanced stage, resulting in a five-year survival rate of ~30%. Early diagnosis of ovarian cancer has improved the five-year survival rate to ≥90%, thus the current imperative requirement is to identify biomarkers that would allow the early detection, diagnosis and monitoring of the progression of the disease, or of novel targets for therapy. In the present study, secreted proteins from purified ovarian control, benign and cancer cells were investigated by mass spectrometry, in order to identify novel specific markers that are easy to quantify in patients sera. A total of nine proteins revealed significant differential secretion from control and benign cells, in comparison with ovarian cancer cells. The mRNA expression levels of three of these proteins (Dickkopf protein 3, heat shock protein 10 kDa and gelsolin) were subsequently evaluated by reverse transcription-quantitative polymerase chain reaction. Combined with the protein level in serum, the present study identified that gelsolin may be a useful marker of ovarian cancer.

Indexed as

gelsolinmarkerovarian cancersecretometarget

Identifiers

PMID28599499
PMCPMC5453169
OpenAlexW2608896910

What OpenQuestion holds

Textmetadata
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.