Evidence map›Paper›PMID 33494220›Full record

ReviewBioengineering (Basel, Switzerland)2021

Navigating the Collagen Jungle: The Biomedical Potential of Fiber Organization in Cancer.

Jonathan N Ouellette, Cole R Drifka, Kelli B Pointer, Yuming Liu, Tyler J Lieberthal, W John Kao, John S Kuo, Agnes G Loeffler, Kevin W Eliceiri

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
6.1field-weighted citation impact, top 2% 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

43 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
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  3. Article
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  5. Article
  6. Article
  7. Article
  8. Polychromatic Polarization Microscopy Differentiates Collagen Fiber Signatures in Benign Pancreatic Tissue and Pancreatic Ductal Adenocarcinoma.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025
    Article
  9. Article
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  14. Article
  15. Article
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  17. 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

9 authors at 3 institutions in 2 countries.

Jonathan N OuelletteDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Cole R DrifkaDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Kelli B PointerLaboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI 53706, USA.
Yuming LiuLaboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI 53706, USA.
Tyler J LieberthalDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0002-3250-8162
W John KaoDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
John S KuoDepartment of Neurosurgery, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.
Agnes G LoefflerDepartment of Pathology, MetroHealth Medical Center, Cleveland, OH 44109, USA.
Kevin W EliceiriDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0001-8678-670X
University of Wisconsin–Madison · USMetroHealth · USThe University of Texas at Austin · US

Funding

INTEGRATED TRAINING FOR PHYSICIAN-SCIENTISTST32GM008692 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BURKARD, MARK E · 1998 to 2020
$10.3M
Quantitative histopathology for cancer prognosis using quantitative phase imaging on stained tissuesR01CA238191 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ANASTASIO, MARK A, ELICEIRI, KEVIN WILLIAM · 2019 to 2023
$3.1M
NIGMS NIH HHS T32 GM008692NIH HHS R01 CA238191Semiconductor Research Corporation 133-AAD1821
6 · The paper itself

Abstract

Recent research has highlighted the importance of key tumor microenvironment features, notably the collagen-rich extracellular matrix (ECM) in characterizing tumor invasion and progression. This led to great interest from both basic researchers and clinicians, including pathologists, to include collagen fiber evaluation as part of the investigation of cancer development and progression. Fibrillar collagen is the most abundant in the normal extracellular matrix, and was revealed to be upregulated in many cancers. Recent studies suggested an emerging theme across multiple cancer types in which specific collagen fiber organization patterns differ between benign and malignant tissue and also appear to be associated with disease stage, prognosis, treatment response, and other clinical features. There is great potential for developing image-based collagen fiber biomarkers for clinical applications, but its adoption in standard clinical practice is dependent on further translational and clinical evaluations. Here, we offer a comprehensive review of the current literature of fibrillar collagen structure and organization as a candidate cancer biomarker, and new perspectives on the challenges and next steps for researchers and clinicians seeking to exploit this information in biomedical research and clinical workflows.

Indexed as

cancerECMextracellular matrixfibrillar collagenpathologyprognosistumor microenvironment

Identifiers

PMID33494220
PMCPMC7909776
OpenAlexW3124915383

What OpenQuestion 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 OpenQuestion graph.