Evidence map›Paper›PMID 41502656›Full record

ArticleACS omega2025

Three-Dimensional Tumor Spheroids of Pancreatic and Colorectal Cancer Cell Lines for High-Throughput Screening of Drug Candidates.

Mikhail Trofimov, Ilya Bulatov, Ilona Donskaia, Alexander Efremov, Ekaterina Litau, Velemir Lavrinenko, Vladimir Popov, Varvara Petrova, Anton Bukatin, Stanislav Tyazhelnikov

Abstract read
In one paragraph

Article in ACS omega, 2025. 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. METTL3-YTHDF1-driven mMolecular and cellular biochemistry · 2026
    Article
  2. Review
  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

10 authors.

Mikhail TrofimovJSC BIOCAD, Intracity Municipality the Settlement of Strelna, ul. Svyazi, d. 38, str. 1, pomeshch. 89, 198515 Saint Petersburg, Russian Federation.ORCID https://orcid.org/0000-0002-7749-0541
Ilya BulatovJSC BIOCAD, Intracity Municipality the Settlement of Strelna, ul. Svyazi, d. 38, str. 1, pomeshch. 89, 198515 Saint Petersburg, Russian Federation.
Ilona DonskaiaJSC BIOCAD, Intracity Municipality the Settlement of Strelna, ul. Svyazi, d. 38, str. 1, pomeshch. 89, 198515 Saint Petersburg, Russian Federation.
Alexander EfremovJSC BIOCAD, Intracity Municipality the Settlement of Strelna, ul. Svyazi, d. 38, str. 1, pomeshch. 89, 198515 Saint Petersburg, Russian Federation.
Ekaterina LitauJSC BIOCAD, Intracity Municipality the Settlement of Strelna, ul. Svyazi, d. 38, str. 1, pomeshch. 89, 198515 Saint Petersburg, Russian Federation.
Velemir LavrinenkoJSC BIOCAD, Intracity Municipality the Settlement of Strelna, ul. Svyazi, d. 38, str. 1, pomeshch. 89, 198515 Saint Petersburg, Russian Federation.
Vladimir PopovJSC BIOCAD, Intracity Municipality the Settlement of Strelna, ul. Svyazi, d. 38, str. 1, pomeshch. 89, 198515 Saint Petersburg, Russian Federation.
Varvara PetrovaJSC BIOCAD, Intracity Municipality the Settlement of Strelna, ul. Svyazi, d. 38, str. 1, pomeshch. 89, 198515 Saint Petersburg, Russian Federation.
Anton BukatinAlferov Saint Petersburg National Research Academic University of the Russian Academy of Sciences, ul. Khlopina 8/3, 194021 Saint Petersburg, Russian Federation.ORCID https://orcid.org/0000-0002-5459-1438
Stanislav TyazhelnikovJSC BIOCAD, Intracity Municipality the Settlement of Strelna, ul. Svyazi, d. 38, str. 1, pomeshch. 89, 198515 Saint Petersburg, Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, three-dimensional (3D) cancer models have emerged as crucial tools in high-throughput screening (HTS), providing a more reliable bridge between in vitro and in vivo drug testing. These models demonstrate higher predictive accuracy compared to traditional two-dimensional (2D) cultures, although the lack of reproducibility and standardization is the main challenge for their translation into quantitative disease modeling and therapeutic response. Therefore, optimization and standardization of 3D spheroid cultivation protocols for HTS for various cancer cell types remain pertinent. This study establishes optimized protocols for cultivating four cancer cell lines (HCT116, SW620, PANC-1, and BxPc-3) as 3D spheroids for drug screening applications. Through systematic parameter optimization, we determined optimal seeding densities (500-1000 cells/well), formation times (3 days), and incubation periods (7-21 days) for each cell line. The application of both IC

Identifiers

PMID41502656
PMCPMC12771431

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.