Evidence map›Paper›PMID 33791282›Full record

ArticleFrontiers in bioengineering and biotechnology2021

Quantifying Breast Cancer-Driven Fiber Alignment and Collagen Deposition in Primary Human Breast Tissue.

Rakesh Gurrala, C Ethan Byrne, Loren M Brown, Rafael Felix P Tiongco, Margarite D Matossian, Jonathan J Savoie, Bridgette M Collins-Burow, Matthew E Burow, Elizabeth C Martin, Frank H Lau

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Targeting Cathepsin K to Accelerate Diabetic Wound Healing.ACS pharmacology & translational science · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

10 authors at 4 institutions in 1 country.

Rakesh GurralaDepartment of Surgery, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA, United States.
C Ethan ByrneDepartment of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, LA, United States.
Loren M BrownDepartment of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, LA, United States.
Rafael Felix P TiongcoDepartment of Surgery, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA, United States.
Margarite D MatossianSection of Hematology and Medical Oncology, School of Medicine, Tulane University, New Orleans, LA, United States.
Jonathan J SavoieDepartment of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, LA, United States.
Bridgette M Collins-BurowSection of Hematology and Medical Oncology, School of Medicine, Tulane University, New Orleans, LA, United States.
Matthew E BurowSection of Hematology and Medical Oncology, School of Medicine, Tulane University, New Orleans, LA, United States.
Elizabeth C MartinDepartment of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, LA, United States.
Frank H LauDepartment of Surgery, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA, United States.
Louisiana State University · USLouisiana State University Health Sciences Center New Orleans · USTulane Medical Center · USTulane University · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
6 · The paper itself

Abstract

Solid tumor progression is significantly influenced by interactions between cancer cells and the surrounding extracellular matrix (ECM). Specifically, the cancer cell-driven changes to ECM fiber alignment and collagen deposition impact tumor growth and metastasis. Current methods of quantifying these processes are incomplete, require simple or artificial matrixes, rely on uncommon imaging techniques, preclude the use of biological and technical replicates, require destruction of the tissue, or are prone to segmentation errors. We present a set of methodological solutions to these shortcomings that were developed to quantify these processes in cultured,

Indexed as

breast cancercollagen contentextracellular matrixfiber alignmentscanning electron microscopysecond harmonic generation

Identifiers

PMID33791282
PMCPMC8006399
OpenAlexW3136142108

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.