Evidence map›Paper›PMID 36182897›Full record

ReviewStem cell research & therapy2022

Targeting cancer stem cells with polymer nanoparticles for gastrointestinal cancer treatment.

Yao Sun, Bo Li, Qian Cao, Tongjun Liu, Jiannan Li

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Stem cell research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.2field-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

18 citing papers in PubMed, 41 citations in OpenAlex.

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  11. Frontiers in nutrition · 2025
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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

5 authors at 2 institutions in 1 country.

Yao Sun *Department of General Surgery, The Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun, 130041, China.
Bo Li *Department of Rehabilitation Medicine, China-Japan Union Hospital of Jilin University, Changchun, 130000, China.
Qian CaoDepartment of Education, The Second Hospital of Jilin University, Changchun, 130041, China.
Tongjun LiuDepartment of General Surgery, The Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun, 130041, China.
Jiannan LiDepartment of General Surgery, The Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun, 130041, China. jnli@ciac.ac.cn.ORCID 0000-0001-9744-7666
Second Affiliated Hospital of Jilin University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanomaterials are developing rapidly in the medical field, bringing new hope for treating various refractory diseases. Among them, polymer nanomaterials, with their excellent properties, have been used to treat various diseases, such as malignant tumors, diabetes, and nervous system diseases. Gastrointestinal cancer is among the cancers with the highest morbidity and mortality worldwide. Cancer stem cells are believed to play an important role in the occurrence and development of tumors. This article summarizes the characteristics of gastrointestinal cancer stem cells and reviews the latest research progress in treating gastrointestinal malignant tumors using polymer nanoparticles to target cancer stem cells. In addition, the review article highlights the potential of polymer nanoparticles in targeting gastrointestinal cancer stem cells.

Indexed as

Gastrointestinal NeoplasmsNanoparticlesDrug Delivery SystemsHumansNeoplastic Stem CellsPolymersPolymersActive targetingCancer stem cellsGastrointestinal cancerNanoparticlesPassive targeting

Identifiers

PMID36182897
PMCPMC9526954
OpenAlexW4298616594

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.