Evidence map›Paper›PMID 29499737›Full record

ArticleJournal of ovarian research2018

Comparison of benign peritoneal fluid- and ovarian cancer ascites-derived extracellular vesicle RNA biomarkers.

Cindy M Yamamoto, Melanie L Oakes, Taku Murakami, Michael G Muto, Ross S Berkowitz, Shu-Wing Ng

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
8.0field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 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

6 authors at 2 institutions in 2 countries.

Cindy M YamamotoHitachi Chemical Co. America, Ltd. R and D Center, 1003 Health Sciences Rd, Irvine, CA, 92617, USA. cyamamoto@hitachi-chemical.com.ORCID http://orcid.org/0000-0003-3525-138X
Melanie L OakesHitachi Chemical Co. America, Ltd. R and D Center, 1003 Health Sciences Rd, Irvine, CA, 92617, USA.
Taku MurakamiHitachi Chemical Co. America, Ltd. R and D Center, 1003 Health Sciences Rd, Irvine, CA, 92617, USA.
Michael G MutoDepartment of Obstetrics, Gynecology and Reproductive Biology, Gynecologic Oncology Division, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Ross S BerkowitzDepartment of Obstetrics, Gynecology and Reproductive Biology, Gynecologic Oncology Division, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Shu-Wing NgDepartment of Obstetrics, Gynecology and Reproductive Biology, Gynecologic Oncology Division, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Brigham and Women's Hospital · USHitachi (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtracellular vesicles (EVs) are considered as a new class of resources for potential biomarkers. We analyzed expression of specific mRNA and miRNA in EVs derived from ovarian cancer ascites and the ideal controls, peritoneal fluids from benign patients for potential early detection and prognostic biomarkers.

methodsFluids were collected from subjects with benign cysts or endometrioma (n = 10), or low/high grade serous ovarian carcinoma (n = 8). EV particles were captured using primarily ExoComplete filterplate or ultracentrifugation and analyzed by nanoparticle tracking analysis, ELISA, and scanning electron microscopy. EV RNAs extracted from two ascites and three peritoneal fluids were submitted for next-generation sequencing. The expression of 34 mRNA and 18 miRNAs in the EVs isolated from patient fluids and cell line media was determined using qPCR.

resultsEVs isolated from patient samples had concentrations greater than 10

conclusionsThis study indicates that EV mRNA profiles can reflect the disease stage and may provide a potentially novel source for discovery of biomarkers in ovarian cancer.

Indexed as

Biomarkers, TumorCell-Free Nucleic AcidsAgedAged, 80 and overAscitesAscitic FluidCell Line, TumorExtracellular VesiclesFemaleHigh-Throughput Nucleotide SequencingHumansLiquid BiopsyMicroRNAsMiddle AgedNeoplasm GradingNeoplasm StagingBiomarkers, TumorCell-Free Nucleic AcidsMicroRNAsRNA, MessengerAscitesBiomarkersExtracellular vesiclesOvarian cancerPeritoneal fluids

Identifiers

PMID29499737
PMCPMC5834862
OpenAlexW2798133460

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.