Evidence map›Paper›PMID 31452988›Full record

ArticleBiomedical optics express2019

Novel methodology to image stromal tissue and assess its morphological features with polarized light: towards a tumour microenvironment prognostic signature.

Jared Westreich, Mohammadali Khorasani, Blake Jones, Valentin Demidov, Sharon Nofech-Mozes, Alex Vitkin

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

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  3. Multitask machine learning-based tumor-associated collagen signatures predict peritoneal recurrence and disease-free survival in gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
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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

6 authors at 2 institutions in 1 country.

Jared WestreichDepartment of Medical Biophysics, University of Toronto, Toronto, Canada.
Mohammadali KhorasaniFellow, Department of General Surgical Oncology, University of Toronto, Toronto, Canada.
Blake JonesDepartment of Medical Biophysics, University of Toronto, Toronto, Canada.
Valentin DemidovDepartment of Medical Biophysics, University of Toronto, Toronto, Canada.
Sharon Nofech-MozesDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.
Alex VitkinDepartment of Medical Biophysics, University of Toronto, Toronto, Canada.
University of Toronto · CAPrincess Margaret Cancer Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The amount and organization details of peri-tumoural stroma have been linked to patient outcomes in various cancers. In this study, we propose a novel and relatively simple methodology using polarized light microscopy (PLM) to image fibrillar structures within a tumour microenvironment, using only linear crossed polarizers. We demonstrate the technique's ability to image and extract measurement-geometry-independent quantitative morphological metrics related to stromal density and alignment in human invasive breast cancer samples. The findings are promising towards quantitative characterization of peri-tumoural stroma, with potential to develop a PLM signature of tumour microenvironment for providing clinically important information such as breast cancer behaviour or treatment outcome prognosis.

Identifiers

PMID31452988
PMCPMC6701544
OpenAlexW2960340261

What OpenQuestion holds

Textmetadata
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.