Evidence map›Paper›PMID 27119081›Full record

ArticleBioMed research international2016

Subtractive Cell-SELEX Selection of DNA Aptamers Binding Specifically and Selectively to Hepatocellular Carcinoma Cells with High Metastatic Potential.

Hao Chen, Chun-Hui Yuan, Yi-Fei Yang, Chang-Qing Yin, Qing Guan, Fu-Bing Wang, Jian-Cheng Tu

Abstract read
In one paragraph

Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Aptamers as Diagnostic Tools in Cancer.Pharmaceuticals (Basel, Switzerland) · 2018
    Review
  10. Review
  11. Review
  12. 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.

Hao ChenDepartment of Laboratory Medicine and Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan 430071, China.
Chun-Hui YuanDepartment of Immunology, School of Basic Medical Sciences, Wuhan University, 185 Donghu Road, Wuchang District, Wuhan 430071, China.
Yi-Fei YangDepartment of Immunology, School of Basic Medical Sciences, Wuhan University, 185 Donghu Road, Wuchang District, Wuhan 430071, China.
Chang-Qing YinDepartment of Laboratory Medicine and Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan 430071, China.
Qing GuanDepartment of Immunology, School of Basic Medical Sciences, Wuhan University, 185 Donghu Road, Wuchang District, Wuhan 430071, China.
Fu-Bing WangDepartment of Laboratory Medicine and Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan 430071, China.
Jian-Cheng TuDepartment of Laboratory Medicine and Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan 430071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Relapse and metastasis are two key risk factors of hepatocellular carcinoma (HCC) prognosis; thus, it is emergent to develop an early and accurate detection method for prognostic evaluation of HCC after surgery. In this study, we sought to acquire oligonucleotide DNA aptamers that specifically bind to HCC cells with high metastatic potential. Two HCC cell lines derived from the same genetic background but with different metastatic potential were employed: MHCC97L (low metastatic properties) as subtractive targets and HCCLM9 (high metastatic properties) as screening targets. To mimic a fluid combining environment, initial DNA aptamers library was firstly labelled with magnetic nanoparticles using biotin-streptavidin system and then applied for aptamers selection. Through 10-round selection with subtractive Cell-SELEX, six aptamers, LY-1, LY-13, LY-46, LY-32, LY-27/45, and LY-7/43, display high affinity to HCCLM9 cells and do not bind to MHCC97L cells, as well as other tumor cell lines, including breast cancer, lung cancer, colon adenocarcinoma, gastric cancer, and cervical cancer, suggesting high specificity for HCCLM9 cells. Thus, the aptamers generated here will provide solid basis for identifying new diagnostic targets to detect HCC metastasis and also may provide valuable clues for developing new targeted therapeutics.

Indexed as

SELEX Aptamer TechniqueAptamers, NucleotideBinding SitesBiotinCarcinoma, HepatocellularCell Line, TumorHumansLiver NeoplasmsNeoplasm MetastasisNeoplasm Recurrence, LocalStreptavidinAptamers, NucleotideBiotinStreptavidin

Identifiers

PMID27119081
PMCPMC4826907

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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.