Evidence map›Paper›PMID 34203530›Full record

ReviewMicromachines2021

Cancer Cell Direct Bioprinting: A Focused Review.

David Angelats Lobo, Paola Ginestra, Elisabetta Ceretti, Teresa Puig Miquel, Joaquim Ciurana

Abstract readReview
In one paragraph

Review in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

5 authors.

David Angelats LoboDepartment of Mechanical and Industrial Engineering, University of Brescia, V. Branze 38, 25123 Brescia, Italy.
Paola GinestraDepartment of Mechanical and Industrial Engineering, University of Brescia, V. Branze 38, 25123 Brescia, Italy.
Elisabetta CerettiDepartment of Mechanical and Industrial Engineering, University of Brescia, V. Branze 38, 25123 Brescia, Italy.
Teresa Puig MiquelNew Therapeutic Targets Laboratory (TargetsLab), Oncology Unit, Department of Medical Sciences, Girona Institute for Biomedical Research, University of Girona, Emili Grahit 77, 17003 Girona, Spain.ORCID 0000-0003-2715-7043
Joaquim CiuranaProduct, Process and Production Engineering Research Group (GREP), Department of Mechanical Engineering and Industrial Construction, University of Girona, Maria Aurèlia Capmany 61, 17003 Girona, Spain.ORCID 0000-0002-6574-5551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional printing technologies allow for the fabrication of complex parts with accurate geometry and less production time. When applied to biomedical applications, two different approaches, known as direct or indirect bioprinting, may be performed. The classical way is to print a support structure, the scaffold, and then culture the cells. Due to the low efficiency of this method, direct bioprinting has been proposed, with or without the use of scaffolds. Scaffolds are the most common technology to culture cells, but bioassembly of cells may be an interesting methodology to mimic the native microenvironment, the extracellular matrix, where the cells interact between themselves. The purpose of this review is to give an updated report about the materials, the bioprinting technologies, and the cells used in cancer research for breast, brain, lung, liver, reproductive, gastric, skin, and bladder associated cancers, to help the development of possible treatments to lower the mortality rates, increasing the effectiveness of guided therapies. This work introduces direct bioprinting to be considered as a key factor above the main tissue engineering technologies.

Indexed as

3D printingbioprintingcancer

Identifiers

PMID34203530
PMCPMC8305105

What Socratic holds

Textmetadata
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 Socratic graph.