For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
2
views
142
references
 Top references
cited by
11
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      138
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

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

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

          Graphical abstract

          Highlights

          • •

            Failure to diagnose OC early will lead to high mortality.

          • •

            The detection of OC-related biomarkers by IVD method will achieve early diagnosis of OC.

          • •

            The development of nanomaterials-based biosensors is expected to enhance efficiency of detection.

          • •

            Strategies and progress for nanomaterials-based biosensors are systematically reviewed.

          Related collections

          Most cited references142

          • Record: found
          • Abstract: found
          • Article: not found

          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          Hyuna Sung, Jacques Ferlay, Rebecca Siegel … (2021)
          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
          Article 0 comments Cited 29250 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The biology, function, and biomedical applications of exosomes

            Raghu Kalluri, Valerie LeBleu (2020)
            The study of extracellular vesicles (EVs) has the potential to identify unknown cellular and molecular mechanisms in intercellular communication and in organ homeostasis and disease. Exosomes, with an average diameter of ~100 nanometers, are a subset of EVs. The biogenesis of exosomes involves their origin in endosomes, and subsequent interactions with other intracellular vesicles and organelles generate the final content of the exosomes. Their diverse constituents include nucleic acids, proteins, lipids, amino acids, and metabolites, which can reflect their cell of origin. In various diseases, exosomes offer a window into altered cellular or tissue states, and their detection in biological fluids potentially offers a multicomponent diagnostic readout. The efficient exchange of cellular components through exosomes can inform their applied use in designing exosome-based therapeutics.
            Article 0 comments Cited 2608 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Integrated Genomic Analyses of Ovarian Carcinoma

              Nikolaus Schultz (2012)
              Summary The Cancer Genome Atlas (TCGA) project has analyzed mRNA expression, miRNA expression, promoter methylation, and DNA copy number in 489 high-grade serous ovarian adenocarcinomas (HGS-OvCa) and the DNA sequences of exons from coding genes in 316 of these tumors. These results show that HGS-OvCa is characterized by TP53 mutations in almost all tumors (96%); low prevalence but statistically recurrent somatic mutations in 9 additional genes including NF1, BRCA1, BRCA2, RB1, and CDK12; 113 significant focal DNA copy number aberrations; and promoter methylation events involving 168 genes. Analyses delineated four ovarian cancer transcriptional subtypes, three miRNA subtypes, four promoter methylation subtypes, a transcriptional signature associated with survival duration and shed new light on the impact on survival of tumors with BRCA1/2 and CCNE1 aberrations. Pathway analyses suggested that homologous recombination is defective in about half of tumors, and that Notch and FOXM1 signaling are involved in serous ovarian cancer pathophysiology.
              Article 0 comments Cited 1173 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Kelong Ai
                Journal
                Journal ID (nlm-ta): Mater Today Bio
                Journal ID (iso-abbrev): Mater Today Bio
                Title: Materials Today Bio
                Publisher: Elsevier
                ISSN (Electronic): 2590-0064
                Publication date PMC-release: 15 February 2022
                Publication date Collection: January 2022
                Publication date (Electronic): 15 February 2022
                Volume: 13
                Electronic Location Identifier: 100218
                Affiliations
                [a ]Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China
                [b ]National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China
                [c ]Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, PR China
                [d ]Hunan Provincial Key Laboratory of Cardiovascular Research, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, PR China
                [e ]Department of Assisted Reproduction, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China
                Author notes
                [∗ ]Corresponding author. Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, PR China. aikelong@ 123456csu.edu.cn
                [1]

                Yuqi Yang and Qiong Huang contributed equally to this work.

                Article
                Publisher Item ID: S2590-0064(22)00016-3 Publisher ID: 100218
                DOI: 10.1016/j.mtbio.2022.100218
                PMC ID: 8861407
                SO-VID: 361b852b-ba19-4fd1-bae4-0d225fcf63b5
                Copyright © © 2022 The Authors
                License:

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                Date received : 11 December 2021
                Date revision received : 10 February 2022
                Date accepted : 12 February 2022
                Categories
                Subject: Full Length Article

                Keywords: ovarian cancer,early diagnosis,biomarker,immunosensor,in vitro diagnosis,nanomaterials
                Data availability:
                Keywords: ovarian cancer, early diagnosis, biomarker, immunosensor, in vitro diagnosis, nanomaterials

                Comments

                Comment on this article

                scite_

                Similar content138

                See all similar

                Cited by11

                See all cited by

                Most referenced authors2,513

                See all reference authors