Evidence map›Paper›PMID 38478342›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Mimicking the Tumor Niche: Methods for Isolation, Culture, and Characterization of Cancer Stem Cells and Multicellular Spheroids.

Laura De Lara-Peña, Cristiano Farace, Andrea Pisano, Julia López de Andrés, Grazia Fenu, Federica Etzi, Carmen Griñán-Lisón, Juan Antonio Marchal, Roberto Madeddu

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. 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. 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

9 authors.

Laura De Lara-PeñaBiopathology and Regenerative Medicine Institute (IBIMER), Centre for Biomedical Research (CIBM), University of Granada, Granada, Spain.
Cristiano FaraceDepartment of Biomedical Sciences-Histology, University of Sassari, Sassari, Italy.
Andrea PisanoDepartment of Biomedical Sciences-Histology, University of Sassari, Sassari, Italy.
Julia López de AndrésBiopathology and Regenerative Medicine Institute (IBIMER), Centre for Biomedical Research (CIBM), University of Granada, Granada, Spain.
Grazia FenuDepartment of Biomedical Sciences-Histology, University of Sassari, Sassari, Italy.
Federica EtziDepartment of Biomedical Sciences-Histology, University of Sassari, Sassari, Italy.
Carmen Griñán-LisónBiopathology and Regenerative Medicine Institute (IBIMER), Centre for Biomedical Research (CIBM), University of Granada, Granada, Spain.
Juan Antonio MarchalBiopathology and Regenerative Medicine Institute (IBIMER), Centre for Biomedical Research (CIBM), University of Granada, Granada, Spain. jmarchal@ugr.es.
Roberto MadedduDepartment of Biomedical Sciences-Histology, University of Sassari, Sassari, Italy. rmadeddu@uniss.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer stem cells (CSCs) play a significant role in driving several tumor hallmarks. Their behavior and tumor progression are strictly related to the tumor microenvironment (TME). The dynamic interplay between CSCs and TME drives metastasis, chemoresistance, and disease relapse. In this chapter, we describe different techniques and protocols for isolating, culturing, and characterizing CSCs and we explain the methodology for the culture of multicellular spheroids comprising CSCs.

Indexed as

NeoplasmsSpheroids, CellularHumansNeoplastic Stem CellsTumor Microenvironment3D culturesCancer stem cells (CSCs)CSC characterizationCSC markersCSC nicheTumorspheresTumour

Identifiers

PMID38478342

What OpenQuestion holds

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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.