Evidence map›Paper›PMID 33912535›Full record

ReviewFrontiers in chemistry2020

Activable Multi-Modal Nanoprobes for Imaging Diagnosis and Therapy of Tumors.

Yan Yang, Saisai Yue, Yuanyuan Qiao, Peisen Zhang, Ni Jiang, Zhenbo Ning, Chunyan Liu, Yi Hou

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. 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

8 authors.

Yan YangCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Saisai YueCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Yuanyuan QiaoCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Peisen ZhangKey Laboratory of Colloid, Interface and Chemical Thermodynamics, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China.
Ni JiangCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Zhenbo NingCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Chunyan LiuInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Yi HouCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant tumors have become one of the major causes of human death, but there remains a lack of effective methods for tiny tumor diagnosis, metastasis warning, clinical efficacy prediction, and effective treatment. In this context, localizing tiny tumors via imaging and non-invasively extracting molecular information related to tumor proliferation, invasion, metastasis, and drug resistance from the tumor microenvironment have become the most fundamental tasks faced by cancer researchers. Tumor-associated microenvironmental physiological parameters, such as hypoxia, acidic extracellular pH, protease, reducing conditions, and so forth, have much to do with prognostic indicators for cancer progression, and impact therapeutic administrations. By combining with various novel nanoparticle-based activatable probes, molecular imaging technologies can provide a feasible approach to visualize tumor-associated microenvironment parameters noninvasively and realize accurate treatment of tumors. This review focuses on the recent achievements in the design of "smart" nanomedicine responding to the tumor microenvironment-related features and highlights state-of- the-art technology in tumor imaging diagnosis and therapy.

Indexed as

microenvironmentmulti-modal probenanomedicinetarget-triggeringtumor theranostics

Identifiers

PMID33912535
PMCPMC8075363

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.