Literature DB >> 34221657

Toward a quantitative method for estimating tumour-stroma ratio in breast cancer using polarized light microscopy.

Jillian Sprenger1, Ciara Murray2, Jigar Lad1, Blake Jones1, Georgia Thomas1, Sharon Nofech-Mozes3, Mohammadali Khorasani4,5, Alex Vitkin1,6,7,5.   

Abstract

The tumour-stroma ratio (TSR) has been explored as a useful source of prognostic information in various cancers, including colorectal, breast, and gastric. Despite research showing potential prognostic utility, its uptake into the clinic has been limited, in part due to challenges associated with subjectivity, reproducibility, and quantification. We have recently proposed a simple, robust, and quantifiable high-contrast method of imaging intra- and peri-tumoural stroma based on polarized light microscopy. Here we report on its use to quantify TSR in human breast cancer using unstained slides from 40 patient samples of invasive ductal carcinoma (IDC). Polarimetric results based on a stromal abundance metric correlated well with pathology designations, showing a statistically significant difference between high- and low-stroma samples as scored by two clinical pathologists. The described polarized light imaging methodology shows promise for use as a quantitative, automatic, and standardizable tool for quantifying TSR, potentially addressing some of the challenges associated with its current estimation.
© 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Entities:  

Year:  2021        PMID: 34221657      PMCID: PMC8221948          DOI: 10.1364/BOE.422452

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  28 in total

Review 1.  Accessories to the crime: functions of cells recruited to the tumor microenvironment.

Authors:  Douglas Hanahan; Lisa M Coussens
Journal:  Cancer Cell       Date:  2012-03-20       Impact factor: 31.743

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

Authors:  Jared Westreich; Mohammadali Khorasani; Blake Jones; Valentin Demidov; Sharon Nofech-Mozes; Alex Vitkin
Journal:  Biomed Opt Express       Date:  2019-07-15       Impact factor: 3.732

3.  The proportion of tumour cells is an independent predictor for survival in colorectal cancer patients.

Authors:  N P West; M Dattani; P McShane; G Hutchins; J Grabsch; W Mueller; D Treanor; P Quirke; H Grabsch
Journal:  Br J Cancer       Date:  2010-04-20       Impact factor: 7.640

4.  Automated Classification of Breast Cancer Stroma Maturity From Histological Images.

Authors:  Sara Reis; Patrycja Gazinska; John H Hipwell; Thomy Mertzanidou; Kalnisha Naidoo; Norman Williams; Sarah Pinder; David J Hawkes
Journal:  IEEE Trans Biomed Eng       Date:  2017-02-07       Impact factor: 4.538

5.  Prognostic significance of the tumor-stroma ratio: validation study in node-negative premenopausal breast cancer patients from the EORTC perioperative chemotherapy (POP) trial (10854).

Authors:  T J A Dekker; C J H van de Velde; G W van Pelt; J R Kroep; J-P Julien; V T H B M Smit; R A E M Tollenaar; W E Mesker
Journal:  Breast Cancer Res Treat       Date:  2013-05-25       Impact factor: 4.872

6.  Tumor-stroma ratio as prognostic factor for survival in rectal adenocarcinoma: A retrospective cohort study.

Authors:  René Scheer; Alexi Baidoshvili; Shorena Zoidze; Marloes A G Elferink; Annefleur E M Berkel; Joost M Klaase; Paul J van Diest
Journal:  World J Gastrointest Oncol       Date:  2017-12-15

7.  Embossed topographic depolarisation maps of biological tissues with different morphological structures.

Authors:  Volodimir A Ushenko; Benjamin T Hogan; Alexander Dubolazov; Anastasiia V Grechina; Tatiana V Boronikhina; Mikhailo Gorsky; Alexander G Ushenko; Yurii O Ushenko; Alexander Bykov; Igor Meglinski
Journal:  Sci Rep       Date:  2021-02-16       Impact factor: 4.379

8.  The prognostic significance of tumour-stroma ratio in oestrogen receptor-positive breast cancer.

Authors:  C L Downey; S A Simpkins; J White; D L Holliday; J L Jones; L B Jordan; J Kulka; S Pollock; S S Rajan; H H Thygesen; A M Hanby; V Speirs
Journal:  Br J Cancer       Date:  2014-02-18       Impact factor: 7.640

Review 9.  Digital pathology and computational image analysis in nephropathology.

Authors:  Laura Barisoni; Kyle J Lafata; Stephen M Hewitt; Anant Madabhushi; Ulysses G J Balis
Journal:  Nat Rev Nephrol       Date:  2020-08-26       Impact factor: 28.314

Review 10.  Twenty Years of Digital Pathology: An Overview of the Road Travelled, What is on the Horizon, and the Emergence of Vendor-Neutral Archives.

Authors:  Liron Pantanowitz; Ashish Sharma; Alexis B Carter; Tahsin Kurc; Alan Sussman; Joel Saltz
Journal:  J Pathol Inform       Date:  2018-11-21
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  2 in total

1.  Toward the development of a polarimetric tool to diagnose the fibrotic human ventricular myocardium.

Authors:  Twinkle Bagha; Arif Mohd Kamal; Uttam M Pal; Prasanna Simha Mohan Rao; Hardik J Pandya
Journal:  J Biomed Opt       Date:  2022-05       Impact factor: 3.758

2.  Polarimetric biomarkers of peri-tumoral stroma can correlate with 5-year survival in patients with left-sided colorectal cancer.

Authors:  Jigar Lad; Stefano Serra; Fayez Quereshy; Mohammadali Khorasani; Alex Vitkin
Journal:  Sci Rep       Date:  2022-07-25       Impact factor: 4.996

  2 in total

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