Evidence map›Paper›PMID 30364524›Full record

ArticleProceedings. IEEE International Symposium on Biomedical Imaging2018

A METHOD FOR QUANTIFICATION OF CALPONIN EXPRESSION IN MYOEPITHELIAL CELLS IN IMMUNOHISTOCHEMICAL IMAGES OF DUCTAL CARCINOMA IN SITU.

Elliot Gray, Elizabeth Mitchell, Sonali Jindal, Pepper Schedin, Young Hwan Chang

Open access · greenAbstract read
In one paragraph

Article in Proceedings. IEEE International Symposium on Biomedical Imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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 1 institution in 1 country.

Elliot GrayDepartment of Biomedical Engineering and Computational Biology Program.
Elizabeth MitchellDepartment of Cell, Developmental and Cancer Biology Oregon Health & Science University.
Sonali JindalDepartment of Cell, Developmental and Cancer Biology Oregon Health & Science University.
Pepper SchedinDepartment of Cell, Developmental and Cancer Biology Oregon Health & Science University.
Young Hwan ChangDepartment of Biomedical Engineering and Computational Biology Program.
Oregon Health & Science University · US

Funding

Understanding the Impact of Microscale and Nanoscale Heterogeneity and ResistanceU54CA209988 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEMIR, EMEK, HEISER, LAURA MADELINE · 2017 to 2021
$10.3M
NSAIDs During Postpartum Involution for Breast Cancer ChemopreventionR01CA169175 · NCI · UNIVERSITY OF COLORADO DENVER · PI SCHEDIN, PEPPER J · 2013 to 2024
$4.8M
NCI NIH HHS R01 CA169175NCI NIH HHS U54 CA209988
6 · The paper itself

Abstract

Ductal carcinoma in situ (DCIS) is breast cancer confined within mammary ducts, surrounded by an intact myoepithelial cell layer that prevents local invasion. A DCIS diagnosis confers increased lifetime risk of developing invasive breast cancer (IBC) and results in surgical excision with radiation, and possibly endocrine- or chemo-therapy. DCIS is known to be over treated, with associated co-morbidities. Biomarkers are needed that delineate patients at low risk of DCIS progression from patients requiring more aggressive treatment. Investigating the role of myoepithelial cell differentiation in barrier function is anticipated to provide insight into DCIS progression and delineate between low and high risk lesions. Here, we develop a high throughput technique to assess loss of myoepithelial differentiation markers. This method facilitates automated analysis of a clinically relevant histopathologic feature, as demonstrated by a high correlation with pathologist annotation (r = 0.959), and further, contributes analytical foundations to a multiplexed immunohistochemistry (IHC) approach.

Indexed as

calponinDCISfeature engineeringinvasive breast cancermyoepithelial cell

Identifiers

PMID30364524
PMCPMC6196724
OpenAlexW2806901774

What OpenQuestion holds

Textmetadata
LicenceTDM
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.