Evidence map›Paper›PMID 34745974›Full record

ReviewFrontiers in oncology2021

Bio-Conjugated Quantum Dots for Cancer Research: Detection and Imaging.

Zhengyan Liang, Muhammad Babar Khawar, Jingyan Liang, Haibo Sun

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. 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
4.6field-weighted citation impact, top 4% of its field
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, 85 citations in OpenAlex.

  1. Review
  2. EnterohemorrhagicACS omega · 2026
    Article
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  4. Review
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  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Applications of Quantum Dots in Preventive Oncology.Asian Pacific journal of cancer prevention : APJCP · 2024
    Review
  17. An overview of the detection of bovine respiratory disease complex pathogens using immunohistochemistry: emerging trends and opportunities.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Review
  18. Review
  19. Review
  20. Review
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

4 authors at 1 institution in 2 countries.

Zhengyan LiangInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, China.
Muhammad Babar KhawarInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, China.
Jingyan LiangInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, China.
Haibo SunInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, China.
Yangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound, computed tomography, magnetic resonance, and gamma scintigraphy-based detection and bio-imaging technologies have achieved outstanding breakthroughs in recent years. However, these technologies still encounter several limitations such as insufficient sensitivity, specificity and security that limit their applications in cancer detection and bio-imaging. The semiconductor quantum dots (QDs) are a kind of newly developed fluorescent nanoparticles that have superior fluorescence intensity, strong resistance to photo-bleaching, size-tunable light emission and could produce multiple fluorescent colors under single-source excitation. Furthermore, QDs have optimal surface to link with multiple targets such as antibodies, peptides, and several other small molecules. Thus, QDs might serve as potential, more sensitive and specific methods of detection than conventional methods applied in cancer molecular targeting and bio-imaging. However, many challenges such as cytotoxicity and nonspecific uptake still exist limiting their wider applications. In the present review, we aim to summarize the current applications and challenges of QDs in cancer research mainly focusing on tumor detection, bio-imaging, and provides opinions on how to address these challenges.

Indexed as

bio-imagingcancerdetectionfluorescenceQDs

Identifiers

PMID34745974
PMCPMC8569511
OpenAlexW3209818736

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.