Evidence map›Paper›PMID 38264683›Full record

ReviewExploration (Beijing, China)2023

Molecular imaging of tumour-associated pathological biomarkers with smart nanoprobe: From "Seeing" to "Measuring".

Peisen Zhang, Wenyue Li, Chuang Liu, Feng Qin, Yijie Lu, Meng Qin, Yi Hou

Abstract readReview
In one paragraph

Review in Exploration (Beijing, China), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Microbiota and urinary tumor immunity: Mechanisms, therapeutic implications, and future perspectives.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

7 authors.

Peisen ZhangCollege of Life Science and Technology Beijing University of Chemical Technology Beijing China.
Wenyue LiCollege of Life Science and Technology Beijing University of Chemical Technology Beijing China.
Chuang LiuCollege of Life Science and Technology Beijing University of Chemical Technology Beijing China.
Feng QinDepartment of Neurosurgery and National Chengdu Center for Safety Evaluation of Drugs State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy West China Hospital, Sichuan University Chengdu China.
Yijie LuDepartment of Chemistry University of Toronto Toronto Ontario Canada.
Meng QinDepartment of Neurosurgery and National Chengdu Center for Safety Evaluation of Drugs State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy West China Hospital, Sichuan University Chengdu China.ORCID https://orcid.org/0000-0002-5448-2477
Yi HouCollege of Life Science and Technology Beijing University of Chemical Technology Beijing China.ORCID https://orcid.org/0000-0001-7026-6929

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the extraordinary progress has been made in molecular biology, the prevention of cancer remains arduous. Most solid tumours exhibit both spatial and temporal heterogeneity, which is difficult to be mimicked in vitro. Additionally, the complex biochemical and immune features of tumour microenvironment significantly affect the tumour development. Molecular imaging aims at the exploitation of tumour-associated molecules as specific targets of customized molecular probe, thereby generating image contrast of tumour markers, and offering opportunities to non-invasively evaluate the pathological characteristics of tumours in vivo. Particularly, there are no "standard markers" as control in clinical imaging diagnosis of individuals, so the tumour pathological characteristics-responsive nanoprobe-based quantitative molecular imaging, which is able to visualize and determine the accurate content values of heterogeneous distribution of pathological molecules in solid tumours, can provide criteria for cancer diagnosis. In this context, a variety of "smart" quantitative molecular imaging nanoprobes have been designed, in order to provide feasible approaches to quantitatively visualize the tumour-associated pathological molecules in vivo. This review summarizes the recent achievements in the designs of these nanoprobes, and highlights the state-of-the-art technologies in quantitative imaging of tumour-associated pathological molecules.

Indexed as

cancermolecular imagingnanoprobequantitative imagingtumour microenvironment

Identifiers

PMID38264683
PMCPMC10742208

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.