Evidence map›Paper›PMID 31566837›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2020

Nanostructured Substrates for Detection and Characterization of Circulating Rare Cells: From Materials Research to Clinical Applications.

Jiantong Dong, Jie-Fu Chen, Matthew Smalley, Meiping Zhao, Zunfu Ke, Yazhen Zhu, Hsian-Rong Tseng

Abstract readReview
In one paragraph

Review in Advanced materials (Deerfield Beach, Fla.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
  2. Review
  3. Growing Gold Nanostars on 3D Hydrogel Surfaces.Chemistry of materials : a publication of the American Chemical Society · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Branched, dendritic, and hyperbranched polymers in liquid biopsy device design.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2022
    Review
  13. Article
  14. Article
  15. Biophysical Approaches for Applying and Measuring Biological Forces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article
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.

Jiantong DongCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID https://orcid.org/0000-0001-7063-711X
Jie-Fu ChenDepartment of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Matthew SmalleyCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID https://orcid.org/0000-0002-0509-6502
Meiping ZhaoBeijing National Laboratory for Molecular Sciences, MOE Key Laboratory of Bioorganic Chemistry and Molecular Engineering, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, P. R. China.ORCID https://orcid.org/0000-0002-8696-8738
Zunfu KeDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, P. R. China.
Yazhen ZhuCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID https://orcid.org/0000-0002-2130-8085
Hsian-Rong TsengCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID https://orcid.org/0000-0003-0942-5905

Funding

Non-Invasive Prenatal Diagnostics Based on Circulating TrophoblastsU01EB026421 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PISARSKA, MARGARETA, TSENG, HSIAN-RONG · 2019 to 2023
$4.0M
Extracellular Vesicle-Based Digital Scoring Assay for Detecting Early-stage Hepatocellular CarcinomaR01CA255727 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZHU, YAZHEN · 2021 to 2025
$3.2M
A blood test to identify prostate cancer patients at risk for visceral metastasisR01CA218356 · NCI · CEDARS-SINAI MEDICAL CENTER · PI POSADAS, EDWIN MELENCIO, TSENG, HSIAN-RONG · 2017 to 2021
$3.0M
Thermoresponsive NanoVelcro CTC Purification System for Prostate Cancer ProfilingU01CA198900 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI POSADAS, EDWIN MELENCIO, TSENG, HSIAN-RONG · 2015 to 2019
$2.4M
CTC Purification System Based on Thermoresponsive NanoSubstratesR44CA180482 · NCI · CYTOLUMINA TECHNOLOGIES CORPORATION, INC · PI LIU, SEAN XIAO, TSENG, HSIAN-RONG · 2015 to 2016
$2.0M
Molecular and Functional Analysis of Single Circulating Melanoma CellsR33CA174562 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TSENG, HSIAN-RONG · 2013 to 2015
$987k
Advanced Development of An Integrated CTC Enrichment TechnologyR33CA157396 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TSENG, HSIAN-RONG · 2011 to 2013
$672k
Click Chemistry-Mediated Microfluidic Sorting for HCC CTCsR21CA235340 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AGOPIAN, VATCHE, TSENG, HSIAN-RONG · 2019 to 2021
$543k
3D-Nanostrcutured Substrates for Detection of Circulating Tumor CellsR21CA151159 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TSENG, HSIAN-RONG · 2010 to 2011
$362k
China Scholarship Council 201706010064NCI NIH HHS R01 CA218356NCI NIH HHS R01 CA255727NCI NIH HHS R21 CA151159NCI NIH HHS R21 CA235340NCI NIH HHS R33 CA157396NCI NIH HHS R33 CA174562NCI NIH HHS R44 CA180482NCI NIH HHS U01 CA198900NIBIB NIH HHS U01 EB026421NIH HHS R01 CA218356NIH HHS R21 CA151159NIH HHS R21 CA235340NIH HHS R33 CA157396NIH HHS R33 CA174562NIH HHS R44 CA180482NIH HHS U01 CA198900NIH HHS U01 EB026421
6 · The paper itself

Abstract

Circulating rare cells in the blood are of great significance for both materials research and clinical applications. For example, circulating tumor cells (CTCs) have been demonstrated as useful biomarkers for "liquid biopsy" of the tumor. Circulating fetal nucleated cells (CFNCs) have shown potential in noninvasive prenatal diagnostics. However, it is technically challenging to detect and isolate circulating rare cells due to their extremely low abundance compared to hematologic cells. Nanostructured substrates offer a unique solution to address these challenges by providing local topographic interactions to strengthen cell adhesion and large surface areas for grafting capture agents, resulting in improved cell capture efficiency, purity, sensitivity, and reproducibility. In addition, rare-cell retrieval strategies, including stimulus-responsiveness and additive reagent-triggered release on different nanostructured substrates, allow for on-demand retrieval of the captured CTCs/CFNCs with high cell viability and molecular integrity. Several nanostructured substrate-enabled CTC/CFNC assays are observed maturing from enumeration and subclassification to molecular analyses. These can one day become powerful tools in disease diagnosis, prognostic prediction, and dynamic monitoring of therapeutic response-paving the way for personalized medical care.

Indexed as

Antibodies, ImmobilizedAptamers, NucleotideCell SeparationEpithelial Cell Adhesion MoleculeGoldHumansNanostructuresNeoplasmsNeoplastic Cells, CirculatingAntibodies, ImmobilizedAptamers, NucleotideEpithelial Cell Adhesion MoleculeGoldcirculating fetal nucleated cellscirculating tumor cellsliquid biopsymicrofluidicsnanostructured substrates

Identifiers

PMID31566837
PMCPMC6946854

What OpenQuestion holds

Textmetadata
LicenceTDM
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.