Evidence map›Paper›PMID 32612367›Full record

ArticleOncoTargets and therapy2020

The Anti-Tumor Effect of Nab-Paclitaxel Proven by Patient-Derived Organoids.

Xing Xiao, Wei Chen, Zhe-Wei Wei, Wei-Wei Chu, Xiao-Fang Lu, Bo Li, Hong Chen, Si-Jun Meng, Teng-Fei Hao, Ji-Tao Wei and 2 more

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Signaling pathways and therapeutic interventions in gastric cancer.Signal transduction and targeted therapy · 2022
    Review
  7. Article
  8. Article
  9. Article
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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

12 authors at 1 institution in 1 country.

Xing Xiao *Center of Digestive Disease, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, People's Republic of China.
Wei Chen *Department of Pathology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, People's Republic of China.
Zhe-Wei Wei *Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, People's Republic of China.
Wei-Wei ChuScientific Research Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, People's Republic of China.
Xiao-Fang LuDepartment of Pathology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, People's Republic of China.
Bo LiCenter of Digestive Disease, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, People's Republic of China.
Hong ChenCenter of Digestive Disease, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, People's Republic of China.
Si-Jun MengCenter of Digestive Disease, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, People's Republic of China.ORCID 0000-0001-9767-0120
Teng-Fei HaoCenter of Digestive Disease, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, People's Republic of China.
Ji-Tao WeiCenter of Digestive Disease, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, People's Republic of China.ORCID 0000-0003-1192-8165
Yu-Long HeCenter of Digestive Disease, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, People's Republic of China.
Chang-Hua ZhangCenter of Digestive Disease, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, People's Republic of China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNab-paclitaxel has been widely used in treating breast cancer and pancreatic patients for its low toxicity and high efficiency. However, its role in gastric cancer (GC) remains ambiguous. The aim of our study was to test the anti-tumor activity of nab-paclitaxel using GC patient-derived organoids.

methodsBy using the organoid culture system, we describe the establishment of human gastric cancer organoid lines from surgical samples of three patients with gastric cancer. The consistency of these organoids with original cancer tissues was evaluated by histopathological examination. The characteristics of the cancer organoids were tested using immunofluorescence (IF) staining. Using organoids, the anti-tumor efficiencies of nab-paclitaxel, 5-Fu and epirubicin were compared by CCK8 assay and Annexin V-FITC/PI staining.

resultsThree organoids were successfully established and passaged. The morphology of the established GC organoids was consistent with original cancer tissues. The IC50 of nab-paclitaxel was 3.68 μmol/L in hGCO1, 2.41 μmol/L in hGCO2 and 2.91 μmol/L in hGCO3, which was significantly lower than those of 5-FU (72.99 μmol/L in hGCO1, 28.32 μmol/L in hGCO2 and 2.91 μmol/L in hGCO3) and epirubicin (25.85μmol/L in hGCO1, 15.15 μmol/L in hGCO2 and 7.60 μmol/L in hGCO3). When each organoid lines were treated with nab-paclitaxel for increasing period of time, the percentage of the apoptotic cells in each organoid increased accordingly.

conclusionNab-paclitaxel showed strong anti-tumor activity and had the potential to become front-line drug for treating GC patients. Gastric cancer organoid may be a good tool to predict in vivo response to drugs.

Indexed as

anti-tumorgastric cancernab-paclitaxelorganoid

Identifiers

PMID32612367
PMCPMC7322144
OpenAlexW3036864124

What OpenQuestion holds

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Registered trials

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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.