Evidence map›Paper›PMID 35243293›Full record

ArticleMaterials today. Bio2022

Nanomaterial-based biosensor developing as a route toward in vitro diagnosis of early ovarian cancer.

Yuqi Yang, Qiong Huang, Zuoxiu Xiao, Min Liu, Yan Zhu, Qiaohui Chen, Yumei Li, Kelong Ai

Abstract read
In one paragraph

Article in Materials today. Bio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  15. New trends in diagnosing and treating ovarian cancer using nanotechnology.Frontiers in bioengineering and biotechnology · 2023
    Review
  16. Emerging Sonodynamic Therapy-Based Nanomedicines for Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    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

8 authors.

Yuqi YangDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China.
Qiong HuangDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China.
Zuoxiu XiaoXiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, PR China.
Min LiuDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China.
Yan ZhuDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China.
Qiaohui ChenXiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, PR China.
Yumei LiDepartment of Assisted Reproduction, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China.
Kelong AiXiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The grand challenges of ovarian cancer early diagnosis have led to an alarmingly high mortality rate from ovarian cancer (OC) in the past half century. In vitro diagnosis (IVD) has great potential in the early diagnosis of OC through non-invasive and dynamic analysis of biomarkers. However, common IVDs often fail to provide reliable test results due to lack of sensitivity, specificity, and convenience. In recent years, the discovery of new biomarkers and the progress of nanomaterials can solve the shortcomings of traditional IVD for early OC. These emerging biosensors based on nanomaterials offer great improvements in convenience, speed, selectivity, and sensitivity of IVD. In this review, we firstly systematically summarized the limits of commercial IVD biosensors of OC and the latest discovery of new biomarkers for OC. The representative optimization strategies for six potential ovarian cancer biomarkers are systematically discussed with emphasis on nanomaterial selection and the design of detection principles. Then, various strategies adopted by emerging biosensors based on nanomaterials are also introduced in detail, including optical, electrochemical, microfluidic, and surface plasmon sensors. Finally, current challenges of early OC IVD are proposed, and future research directions on this promising field are also discussed.

Indexed as

BiomarkerEarly diagnosisImmunosensorIn vitro diagnosisNanomaterialsOvarian cancer

Identifiers

PMID35243293
PMCPMC8861407

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.