Evidence map›Paper›PMID 40660438›Full record

ArticleCurrent cancer drug targets2026

CD133

Xiangwei Liao, Xiaodong Han, Yu Wang, Jun Yan, Zhenqian Wu

Abstract read
In one paragraph

Article in Current cancer drug targets, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Xiangwei LiaoDepartment of Gastroenterology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaodong HanDepartment of General Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yu WangDepartment of General Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jun YanDepartment of General Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhenqian WuDepartment of General Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is among the most widespread malignancies worldwide and is a leading cause for cancer mortality. The interstitial interaction between cancer and stem cells is important during cancer cell metastasis.

objectiveIn this study, we aimed to elucidate the regulatory role and the underlying mechanisms controlling the activity of exosomes derived from cancer stem cells (CSCs).

methodsOur group isolated exosomes from CSCs and non-CSCs to examine their regulatory mechanisms using Transwell migration, Cell Counting Kit-8 (CCK-8), and 5-ethynyl- 2'-deoxyuridine (EdU) assays.

resultsThe role of Eukaryotic Translation Initiation Factor 3 Subunit B (EIF3B) in CRC was examined using an in vivo tumorigenesis mouse model. It was found that treatment with exosomes isolated from CD133

conclusionOur findings demonstrate that CSC-derived exosomes transport EIF3B into CRC cells to initiate epithelial-to-mesenchymal transition (EMT) and promote metastasis.

Indexed as

AC133 AntigenColorectal NeoplasmsEukaryotic Initiation Factor-3ExosomesNeoplastic Stem CellsAnimalsCell Line, TumorCell MovementCell ProliferationEpithelial-Mesenchymal TransitionHumansMiceMice, Inbred BALB CMice, NudeAC133 AntigenEukaryotic Initiation Factor-3PROM1 protein, humanCD133+colorectal cancerdigestive system.EIF3BExosomesintestinal neoplasms

Identifiers

PMID40660438
PMCPMC13312400

What OpenQuestion holds

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LicenceCC BY
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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.