Evidence map›Paper›PMID 37888026›Full record

ArticleMethods and protocols2023

A Simple and Fast Method for the Formation and Downstream Processing of Cancer-Cell-Derived 3D Spheroids: An Example Using Nicotine-Treated A549 Lung Cancer 3D Spheres.

Irida Papapostolou, Florian Bochen, Christine Peinelt, Maria Constanza Maldifassi

Open access · goldAbstract read
In one paragraph

Article in Methods and protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Irida PapapostolouInstitute of Biochemistry and Molecular Medicine, University of Bern, 3012 Bern, Switzerland.ORCID 0000-0002-7058-5257
Florian BochenInstitute of Biochemistry and Molecular Medicine, University of Bern, 3012 Bern, Switzerland.ORCID 0000-0002-1210-980X
Christine PeineltInstitute of Biochemistry and Molecular Medicine, University of Bern, 3012 Bern, Switzerland.ORCID 0000-0002-3474-6893
Maria Constanza MaldifassiInstitute of Biochemistry and Molecular Medicine, University of Bern, 3012 Bern, Switzerland.
University of Bern · CH

Funding

Swiss National Science Foundation 310030_200380 / 1
6 · The paper itself

Abstract

Although 2D in vitro cancer cell cultures have been used for decades as a first line-of-research tool to investigate antitumoral drugs and treatments, their use presents many drawbacks, including the poor resemblance of such cultures to the characteristics of in vivo tumors. To mitigate these drawbacks, 3D culture models have emerged as a more representative alternative. Cancer cells cultured as 3D structures have the advantage of resembling solid tumors in their architecture and in their resistance to chemotherapeutic drugs, in part because of restrained drug penetration. Additionally, these 3D structures create a more physiological environment for the study of immune cell invasion and migration, comparable to solid tumors. In this paper, we describe a fast and cost-effective step-by-step protocol for the generation of 3D spheres using ultra-low-attachment (ULA) multiwell plates, which can be incorporated into the normal workflow of any laboratory. Using this protocol, spheroids of different human cancer cell lines can be obtained and can then be characterized on the basis of their morphology, viability, and expression of specific markers.

Indexed as

3D cell culturecancer cellslow-attachment surfacenicotinenicotinic acetylcholine receptorsspheroidsthree-dimensional cell culture

Identifiers

PMID37888026
PMCPMC10609300
OpenAlexW4387331581

What OpenQuestion holds

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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.