Evidence map›Paper›PMID 25938802›Full record

ArticlePloS one2015

Molecular Recognition of Human Liver Cancer Cells Using DNA Aptamers Generated via Cell-SELEX.

Jiehua Xu, I-Ting Teng, Liqin Zhang, Stefanie Delgado, Carole Champanhac, Sena Cansiz, Cuichen Wu, Hong Shan, Weihong Tan

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Selection and identification of an ssDNA aptamer to NB4 cell.Journal of clinical laboratory analysis · 2021
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Aptamers in Therapeutics.Journal of clinical and diagnostic research : JCDR · 2016
    Review
  15. Article
  16. Review
  17. 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

9 authors.

Jiehua XuDepartment of Nuclear Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China; Department of Chemistry, Department of Biochemistry and Molecular Biology and Department of Physiology and Functional Genomics, Center for Research at the Bio/Nano Interface, Health Cancer Center, UF Genetics Institute and McKnight Brain Institute, University of Florida, Gainesville, FL, United States of America.
I-Ting TengDepartment of Chemistry, Department of Biochemistry and Molecular Biology and Department of Physiology and Functional Genomics, Center for Research at the Bio/Nano Interface, Health Cancer Center, UF Genetics Institute and McKnight Brain Institute, University of Florida, Gainesville, FL, United States of America.
Liqin ZhangDepartment of Chemistry, Department of Biochemistry and Molecular Biology and Department of Physiology and Functional Genomics, Center for Research at the Bio/Nano Interface, Health Cancer Center, UF Genetics Institute and McKnight Brain Institute, University of Florida, Gainesville, FL, United States of America.
Stefanie DelgadoDepartment of Chemistry, Department of Biochemistry and Molecular Biology and Department of Physiology and Functional Genomics, Center for Research at the Bio/Nano Interface, Health Cancer Center, UF Genetics Institute and McKnight Brain Institute, University of Florida, Gainesville, FL, United States of America.
Carole ChampanhacDepartment of Chemistry, Department of Biochemistry and Molecular Biology and Department of Physiology and Functional Genomics, Center for Research at the Bio/Nano Interface, Health Cancer Center, UF Genetics Institute and McKnight Brain Institute, University of Florida, Gainesville, FL, United States of America.
Sena CansizDepartment of Chemistry, Department of Biochemistry and Molecular Biology and Department of Physiology and Functional Genomics, Center for Research at the Bio/Nano Interface, Health Cancer Center, UF Genetics Institute and McKnight Brain Institute, University of Florida, Gainesville, FL, United States of America.
Cuichen WuDepartment of Chemistry, Department of Biochemistry and Molecular Biology and Department of Physiology and Functional Genomics, Center for Research at the Bio/Nano Interface, Health Cancer Center, UF Genetics Institute and McKnight Brain Institute, University of Florida, Gainesville, FL, United States of America.
Hong ShanInterventional Radiology Institute, Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Weihong TanDepartment of Chemistry, Department of Biochemistry and Molecular Biology and Department of Physiology and Functional Genomics, Center for Research at the Bio/Nano Interface, Health Cancer Center, UF Genetics Institute and McKnight Brain Institute, University of Florida, Gainesville, FL, United States of America.

Funding

Development of molecular probes for biomedical applicationsR01GM079359 · NIGMS · UNIVERSITY OF FLORIDA · PI TAN, WEIHONG · 2007 to 2016
$2.3M
Molecular Target for Liver Cancer Diagnosis and TherapyR01CA133086 · NCI · UNIVERSITY OF FLORIDA · PI LIU, CHEN · 2009 to 2013
$1.5M
NCI NIH HHS CA133086NCI NIH HHS R01 CA133086NIGMS NIH HHS GM079359NIGMS NIH HHS R01 GM079359
6 · The paper itself

Abstract

Most clinical cases of liver cancer cannot be diagnosed until they have evolved to an advanced stage, thus resulting in high mortality. It is well recognized that the implementation of early detection methods and the development of targeted therapies for liver cancer are essential to reducing the high mortality rates associated with this disease. To achieve these goals, molecular probes capable of recognizing liver cancer cell-specific targets are needed. Here we describe a panel of aptamers able to distinguish hepatocarcinoma from normal liver cells. The aptamers, which were selected by cell-based SELEX (Systematic Evolution of Ligands by Exponential Enrichment), have Kd values in the range of 64-349 nM toward the target human hepatoma cell HepG2, and also recognize ovarian cancer cells and lung adenocarcinoma. The proteinase treatment experiment indicated that all aptamers could recognize target HepG2 cells through surface proteins. This outcome suggested that these aptamers could be used as potential probes for further research in cancer studies, such as developing early detection assays, targeted therapies, and imaging agents, as well as for the investigation of common membrane proteins in these distinguishable cancers.

Indexed as

SELEX Aptamer TechniqueAptamers, NucleotideBase SequenceCarcinoma, HepatocellularCell Line, TumorEpithelial CellsFlow CytometryGene LibraryHep G2 CellsHumansLiver NeoplasmsAptamers, Nucleotide

Identifiers

PMID25938802
PMCPMC4418664

What OpenQuestion holds

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Registered trials

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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.