Evidence map›Paper›PMID 30214686›Full record

ArticleOncotarget2018

Bladder cancer detection by urinary extracellular vesicle mRNA analysis.

Taku Murakami, Cindy M Yamamoto, Tomoshige Akino, Hiroshi Tanaka, Nobuyuki Fukuzawa, Hidetaka Suzuki, Takahiro Osawa, Takahiro Tsuji, Toshimori Seki, Hiroshi Harada

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

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  14. Extracellular vesicles in urological malignancies.Biochimica et biophysica acta. Reviews on cancer · 2021
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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

10 authors at 3 institutions in 2 countries.

Taku MurakamiHitachi Chemical Co. America, Ltd., Irvine, CA, USA.
Cindy M YamamotoHitachi Chemical Co. America, Ltd., Irvine, CA, USA.
Tomoshige AkinoSapporo City General Hospital, Sapporo, Japan.
Hiroshi TanakaSapporo City General Hospital, Sapporo, Japan.
Nobuyuki FukuzawaSapporo City General Hospital, Sapporo, Japan.
Hidetaka SuzukiSapporo City General Hospital, Sapporo, Japan.
Takahiro OsawaGraduate School of Medicine, Hokkaido University, Sapporo, Japan.
Takahiro TsujiSapporo City General Hospital, Sapporo, Japan.
Toshimori SekiSapporo City General Hospital, Sapporo, Japan.
Hiroshi HaradaSapporo City General Hospital, Sapporo, Japan.
Sapporo City General Hospital · JPHitachi Global Storage Technologies (United States) · USHokkaido University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUrinary extracellular vesicles (EV) could be promising biomarkers for urological diseases. In this retrospective feasibility study, we conducted biomarker screening for early stage bladder cancer using EV mRNA analysis.

methodsBiomarker candidates were identified through RNA-seq analysis of urinary EV from patients with non-muscle invasive bladder cancer (N=3), advanced urothelial cancer (N=3), no residual tumor after TURBT (N=2), and healthy and disease controls (N=4). Diagnostic performance was evaluated by RT-qPCR in a larger patient group including bladder cancer (N=173), renal pelvis and ureter cancer (N=33), no residual tumor and non-cancer disease control (N=36).

resultsUrinary EV

conclusionThree urinary EV mRNA were discovered to be elevated in bladder cancer. Urinary EV mRNA are promising biomarkers of urothelial cancer and worth further investigation.

Indexed as

biomarkerbladder cancerexosomeextracellular vesiclesmRNA

Identifiers

PMID30214686
PMCPMC6132352
OpenAlexW2888862461

What OpenQuestion holds

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LicenceCC BY
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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.