Evidence map›Paper›PMID 34785762›Full record

ReviewCancer gene therapy2022

Decellularized normal and cancer tissues as tools for cancer research.

E Gentilin, E D'Angelo, M Agostini, L Astolfi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer gene therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

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  19. NovelFrontiers in oncology · 2022
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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 2 institutions in 1 country.

E Gentilin *Bioacoustics Research Laboratory, Department of Neurosciences, University of Padua, via G. Orus, 2b, 35129, Padua, Italy. erica.gentilin@unipd.it.ORCID http://orcid.org/0000-0003-3198-6506
E D'Angelo *LIFELAB Program, Consorzio per la Ricerca Sanitaria-CORIS, Veneto Region, 35128, Padova, Italy.ORCID http://orcid.org/0000-0002-4554-2140
M AgostiniLIFELAB Program, Consorzio per la Ricerca Sanitaria-CORIS, Veneto Region, 35128, Padova, Italy. m.agostini@unipd.it.ORCID http://orcid.org/0000-0001-7578-1233
L AstolfiBioacoustics Research Laboratory, Department of Neurosciences, University of Padua, via G. Orus, 2b, 35129, Padua, Italy.ORCID http://orcid.org/0000-0002-3291-8567
University of Padua · ITConsorzio per la Ricerca Sanitaria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today it is widely accepted that molecular mechanisms triggering cancer initiate with a genetic modification. However, a genetic alteration providing the aberrant clone with a growing advantage over neighboring cells is not sufficient to develop cancer. Currently, tumors are considered a heterogeneous population of cells and an extracellular matrix (ECM) that make up a characteristic microenvironment. Interactions between tumor cells and cancer microenvironment define cancer progression and therapeutic response. To investigate and clarify the role of ECM in the regulation of cancer cell behavior and response to therapy, the decellularization of ECM, a widely used technique in tissue engineering, has been recently employed to develop 3D culture model of disease. In this review, we briefly explore the different components of healthy and pathological ECM and the methods to obtain and characterize the ECM from native bioptic tissue. Finally, we highlight the most relevant applications of ECM in translational cancer research strategies: decellularized ECM, ECM-hydrogel and 3D bioprinting.

Indexed as

Extracellular MatrixNeoplasmsHumansTissue EngineeringTumor Microenvironment

Identifiers

PMID34785762
OpenAlexW3211649515

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.