Evidence map›Paper›PMID 39422334›Full record

ArticleAnalytical chemistry2024

Early Cancer Detection via Multi-microRNA Profiling of Urinary Exosomes Captured by Nanowires.

Takao Yasui, Atsushi Natsume, Takeshi Yanagida, Kazuki Nagashima, Takashi Washio, Yuki Ichikawa, Kunanon Chattrairat, Tsuyoshi Naganawa, Mikiko Iida, Yotaro Kitano and 7 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

17 authors.

Takao YasuiDepartment of Life Science and Technology, Tokyo Institute of Technology, Nagatsuta 4259, Midori-ku, Yokohama 226-8501, Japan.ORCID 0000-0003-0333-3559
Atsushi NatsumeInstitute of Nano-Life-Systems, Institutes of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan.
Takeshi YanagidaDepartment of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.ORCID 0000-0003-4837-5701
Kazuki NagashimaResearch Institute for Electronic Science (RIES), Hokkaido University, N21W10, Kita, Sapporo, Hokkaido 001-0021, Japan.ORCID 0000-0003-0180-816X
Takashi WashioThe Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan.
Yuki IchikawaCraif Inc., 3-38-14-3 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Kunanon ChattrairatDepartment of Life Science and Technology, Tokyo Institute of Technology, Nagatsuta 4259, Midori-ku, Yokohama 226-8501, Japan.ORCID 0000-0001-7587-6777
Tsuyoshi NaganawaDepartment of Biomolecular Engineering, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan.
Mikiko IidaInstitute of Nano-Life-Systems, Institutes of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan.
Yotaro KitanoDepartment of Neurosurgery, School of Medicine, Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan.
Kosuke AokiDepartment of Neurosurgery, School of Medicine, Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan.ORCID 0000-0002-3274-5272
Mika MizunumaCraif Inc., 3-38-14-3 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Taisuke ShimadaInstitute of Quantum Life Science, National Institutes for Quantum Science and Technology (QST), Anagawa 4-9-1, Inage-ku, Chiba 263-8555, Japan.ORCID 0000-0002-4451-2433
Kazuya TakayamaCraif Inc., 3-38-14-3 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Takahiro OchiyaDepartment of Molecular and Cellular Medicine, Tokyo Medical University, 6-7-1 Nishishinjyuku, Shinjuku-ku, Tokyo 160-0023, Japan.
Tomoji KawaiThe Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan.
Yoshinobu BabaInstitute of Quantum Life Science, National Institutes for Quantum Science and Technology (QST), Anagawa 4-9-1, Inage-ku, Chiba 263-8555, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple microRNAs encapsulated in extracellular vesicles (EVs) including exosomes, unique subtypes of EVs, differ in healthy and cancer groups of people, and they represent a warning sign for various cancer scenarios. Since all EVs in blood cannot be transferred from donor to recipient cells during a single blood circulation, kidney filtration could pass some untransferred EVs from blood to urine. Previously, we reported on the ability of zinc oxide nanowires to capture EVs based on surface charge and hydrogen bonding; these nanowires extracted massive numbers of microRNAs in urine, seeking cancer-related microRNAs through statistical analysis. Here, we report on the scalability of the nanowire performance capability to comprehensively capture EVs, including exosomes, in urine, extract microRNAs from the captured EVs

Indexed as

Early Detection of CancerExosomesMicroRNAsNanowiresHumansLung NeoplasmsMachine LearningZinc OxideMicroRNAsZinc Oxide

Identifiers

PMID39422334
PMCPMC11525924

What OpenQuestion holds

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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.