Evidence map›Paper›PMID 36557345›Full record

ArticleMicromachines2022

Multiple Biomarker Simultaneous Detection in Serum via a Nanomaterial-Functionalized Biosensor for Ovarian Tumor/Cancer Diagnosis.

Yu Wu, Chunhua Wang, Chao Wang, Pan Wang, Xiaohan Chang, Lin Han, Yu Zhang

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
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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

7 authors at 3 institutions in 1 country.

Yu WuPeking University Third Hospital, Haidian District, Beijing 100191, China.
Chunhua WangInstitute of Marine Science and Technology, Shandong University, Qingdao 266273, China.
Chao WangInstitute of Marine Science and Technology, Shandong University, Qingdao 266273, China.
Pan WangPeking University Third Hospital, Haidian District, Beijing 100191, China.
Xiaohan ChangPeking University Third Hospital, Haidian District, Beijing 100191, China.
Lin HanInstitute of Marine Science and Technology, Shandong University, Qingdao 266273, China.ORCID 0000-0003-0461-2031
Yu ZhangInstitute of Marine Science and Technology, Shandong University, Qingdao 266273, China.ORCID 0000-0002-0666-2537
Peking University · CNShandong University · CNShandong University of Science and Technology · CN

Funding

Fundamental Research Funds of Shandong University 2020QNQT001Key Fundamental Research Program of Shenzhen JCYJ20210324115601004National Key R&D Plan of China Grant No. 2017YFB0405400National Natural Science Foundation of China No. 62174101
6 · The paper itself

Abstract

Ovarian tumors/cancers are threatening women's health worldwide, which demands high-performance detection methods and accurate strategies to effectively detect, diagnose and treat them. Here, we report a nanographene oxide particle-functionalized microfluidic fluorescence biosensor to simultaneously detect four biomarkers, CA125, HE4, CEA and APF, for ovarian tumor/cancer diagnosis. The developed biosensor exhibits good selectivity and a large biomarker detection range with a limit of detection of 0.01 U/mL for CA125 and ~1 pg/mL for HE4, CEA and APF. The current results indicate that (1) the proposed biosensor is a promising tool for the simultaneous detection of multiple biomarkers in ovarian tumors/cancer and (2) CA125 and HE4 are strong indicators, AFP may be helpful, and CEA is a weak biomarker for ovarian tumor/cancer diagnosis. The proposed biosensor would be a potential tool, and an analytical approach for the simultaneous detection of multiple biomarkers will provide a new strategy for the early screening, diagnosis and treatment of ovarian tumors/cancers, as well as other cancers.

Indexed as

fluorescence biosensorgraphene oxidemicrofluidicovarian cancerprotein biomarker

Identifiers

PMID36557345
PMCPMC9783278
OpenAlexW4309722201

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.