Evidence map›Paper›PMID 33991804›Full record

ReviewCurrent opinion in cell biology2021

Engineered ECM models: Opportunities to advance understanding of tumor heterogeneity.

Adrian A Shimpi, Claudia Fischbach

Abstract readReview
In one paragraph

Review in Current opinion in cell biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
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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

2 authors.

Adrian A ShimpiNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA.
Claudia FischbachNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA; Kavli Institute at Cornell for Nanoscale Science, Cornell University, Ithaca, NY, 14853, USA. Electronic address: cf99@cornell.edu.

Funding

Project 3: Physical and Metabolic Constraints of Cancer Cell InvasionU54CA210184 · NCI · CORNELL UNIVERSITY · PI CANTLEY, LEWIS C., FISCHBACH, CLAUDIA · 2016 to 2020
$10.2M
NCI NIH HHS U54 CA210184
6 · The paper itself

Abstract

Intratumoral heterogeneity is a negative prognostic factor for cancer and commonly attributed to microenvironment-driven genetic mutations and/or the emergence of cancer stem-like cells. How aberrant extracellular matrix (ECM) remodeling regulates the phenotypic diversity of tumor cells, however, remains poorly understood due in part to a lack of model systems that allow isolating the physicochemical heterogeneity of malignancy-associated ECM for mechanistic studies. Here, we review the compositional, microarchitectural, and mechanical hallmarks of cancer-associated ECM and highlight biomaterials and engineering approaches to recapitulate these properties for in vitro and in vivo studies. Subsequently, we describe how such engineered platforms may be explored to define the spatiotemporal dynamics through which cancer-associated ECM remodeling regulates intratumoral heterogeneity and the cancer stem-like cell phenotype. Finally, we highlight future opportunities and technological advances to further elucidate the relationship between tumor-associated ECM dynamics and intratumoral heterogeneity.

Indexed as

Extracellular MatrixNeoplasmsHumansModels, BiologicalNeoplastic Stem CellsTumor Microenvironment

Identifiers

PMID33991804
PMCPMC8530840

What OpenQuestion holds

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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.