Evidence map›Paper›PMID 31744173›Full record

ArticleCancers2019

Imaging Collagen Alterations in STICs and High Grade Ovarian Cancers in the Fallopian Tubes by Second Harmonic Generation Microscopy.

Eric C Rentchler, Kristal L Gant, Ronny Drapkin, Manish Patankar, Paul J Campagnola

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. 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
2.5field-weighted citation impact, top 11% 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, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Multi-modal Profiling of the Extracellular Matrix of Human Fallopian Tubes and Serous Tubal Intraepithelial Carcinomas.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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 at 2 institutions in 1 country.

Eric C RentchlerDepartment of Biomedical Engineering, University of Wisconsin, Madison, WI 53706, USA.
Kristal L GantDepartment of Obstetrics and Gynecology, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0001-9644-1799
Ronny DrapkinDepartment of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Manish PatankarDepartment of Obstetrics and Gynecology, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0002-8205-6432
Paul J CampagnolaDepartment of Biomedical Engineering, University of Wisconsin, Madison, WI 53706, USA.
University of Wisconsin–Madison · USUniversity of Pennsylvania · US

Funding

SPORE in Ovarian CancerP50CA228991 · NCI · JOHNS HOPKINS UNIVERSITY · PI Tian-Li Wang · 2018 to 2026
$20.5M
Engineered ECM platforms to analyze progression in high grade serous ovarian cancerR01CA232517 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI CAMPAGNOLA, PAUL J, KREEGER, PAMELA K · 2018 to 2022
$2.4M
Quantitative assessment of the role of collagen alterations in ovarian cancerR01CA206561 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI CAMPAGNOLA, PAUL J, ELICEIRI, KEVIN WILLIAM · 2016 to 2020
$2.1M
NCI NIH HHS P50 CA228991NIH HHS R01 CA206561NIH HHS R01 CA232517
6 · The paper itself

Abstract

The majority of high-grade serous ovarian cancers originate in the fallopian tubes, however, the corresponding structural changes in the extracellular matrix (ECM) have not been well-characterized. This information could provide new insight into the carcinogenesis and provide the basis for new diagnostic tools. We have previously used the collagen-specific Second Harmonic Generation (SHG) microscopy to probe collagen fiber alterations in high-grade serous ovarian cancer and in other ovarian tumors, and showed they could be uniquely identified by machine learning approaches. Here we couple SHG imaging of serous tubal intra-epithelial carcinomas (STICs), high-grade cancers, and normal regions of the fallopian tubes, using three distinct image analysis approaches to form a classification scheme based on the respective collagen fiber morphology. Using a linear discriminant analysis, we achieved near 100% classification accuracy between high-grade disease and the other tissues, where the STICs and normal regions were differentiated with ~75% accuracy. Importantly, the collagen in high-grade disease in both the fallopian tube and the ovary itself have a similar collagen morphology, further substantiating the metastasis between these sites. This analysis provides a new method of classification, but also quantifies the structural changes in the disease, which may provide new insight into metastasis.

Indexed as

collagen fibershigh gradeimage analysissecond harmonic generationSTIC

Identifiers

PMID31744173
PMCPMC6896112
OpenAlexW2986123162

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.