Evidence map›Paper›PMID 38072976›Full record

ReviewStem cell research & therapy2023

The application of nanoparticles in theranostic systems targeting breast cancer stem cells: current progress and future challenges.

Xinyu Lin, Ying Wang, Kai Fang, Zijian Guo, Nan Lin, Lihua Li

Abstract readReview
In one paragraph

Review in Stem cell research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Xinyu Lin *Oncology Institute, Affiliated Hospital of Jiangnan University, Wuxi, 214062, Jiangsu, China.
Ying Wang *Oncology Institute, Affiliated Hospital of Jiangnan University, Wuxi, 214062, Jiangsu, China.
Kai FangOncology Institute, Affiliated Hospital of Jiangnan University, Wuxi, 214062, Jiangsu, China.
Zijian GuoDepartment of Oncological Surgery, Affiliated Hospital of Jiangnan University, Wuxi, 214062, Jiangsu, China.
Nan LinQilu Hospital of Shandong University, Shandong, 250000, China.
Lihua LiOncology Institute, Affiliated Hospital of Jiangnan University, Wuxi, 214062, Jiangsu, China. llhwxsy@aliyun.com.

Funding

Fundamental Research Funds for the Central Universities JUSRP221036National Natural Science Foundation of China 82072700Natural Science Foundation of Jiangsu Province BK20211032Wuxi Municipal Bureau on Science and Technology NO. 20192029
6 · The paper itself

Abstract

Breast cancer (BC) is one of the diseases with the highest female mortality rates in the world and is closely related to breast cancer stem cells (BCSCs). Conventional breast cancer chemotherapy drugs target noncancer stem cells (non-CSCs), while cancer stem cells (CSCs) can still survive, which is an important reason for breast cancer drug resistance and local recurrence or distant metastasis. How to eradicate BCSCs while killing BCs is the key factor to improve the effect, and it is also an important scientific problem to be solved urgently. Therefore, targeted BCSC therapy has become a research hotspot. Interestingly, the emergence of nanotechnology provides a new idea for targeting BCSCs. This study summarizes the current application status of nanomaterials in targeting BCSCs, and attempts to construct a new type of lipid nanoparticle (LNP) that can target BCSCs through mRNA, providing a new idea for the treatment of BC.

Indexed as

Antineoplastic AgentsBreast NeoplasmsNanoparticlesFemaleHumansNeoplastic Stem CellsPrecision MedicineAntineoplastic AgentsBreast cancermRNANanoparticlesStem cells

Identifiers

PMID38072976
PMCPMC10712155

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.