Evidence map›Paper›PMID 37421554›Full record

ReviewBiotechnology letters2023

Application of three-dimensional cell culture technology in screening anticancer drugs.

Yaqian Sun, Haiyang Ma

Abstract readReview
PubMed Publisher
In one paragraph

Review in Biotechnology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 2 institutions in 1 country.

Yaqian SunOncology laboratory, Faculty of Environment and Life, Beijing University of Technology, Beijing, 100124, China. 15064664062@163.com.ORCID http://orcid.org/0009-0002-7887-1909
Haiyang MaInstitute of Biomedical Engineering, College of Biomedical Engineering, Taiyuan University of Technology, Shanxi, 030024, People's Republic of China.
Beijing University of Technology · CNShanxi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The drug development process involves a variety of drug activity evaluations, which can determine drug efficacy, strictly analyze the biological indicators after the drug action, and use these indicators as the preclinical drug evaluation criteria. At present, most of the screening of preclinical anticancer drugs mainly relies on traditional 2D cell culture. However, this traditional technology cannot simulate the tumor microenvironment in vivo, let alone reflect the characteristics of solid tumors in vivo, and has a relatively poor ability to predict drug activity. 3D cell culture is a technology between 2D cell culture and animal experiments, which can better reflect the biological state in vivo and reduce the consumption of animal experiments. 3D cell culture can link the individual study of cells with the study of the whole organism, reproduce in vitro the biological phenotype of cells in vivo more greatly, and thus predict the activity and resistance of anti-tumor drugs more accurately. In this paper, the common techniques of 3D cell culture are discussed, with emphasis on its main advantages and application in the evaluation of anti-tumor resistance, which can provide strategies for the screening of anti-tumor drugs.

Indexed as

Antineoplastic AgentsAnimalsCell Culture Techniques, Three DimensionalCell Line, TumorDrug Evaluation, PreclinicalTechnologyAntineoplastic Agents3D cell cultureCancer researchDrug activityDrug resistanceDrug screening

Identifiers

PMID37421554
OpenAlexW4383621191

What OpenQuestion holds

Textmetadata
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.