Skip to main content
Top
Published in: Medical Oncology 1/2018

01-01-2018 | Original Paper

Large-scale DNA organization is a prognostic marker of breast cancer survival

Authors: Martial Guillaud, Qian Ye, Sam Leung, Anita Carraro, Alan Harrison, Malcolm Hayes, Alan Nichol, Mira Keyes

Published in: Medical Oncology | Issue 1/2018

Login to get access

Abstract

Breast cancer is the leading cause of cancer-related deaths among women worldwide. We investigated whether changes in large-scale DNA organization (LDO) of tumor epithelial nuclei are an indicator of the aggressiveness of the tumor. We tested our algorithm on a set of 172 duplicates TMA cores samples coming from 95 breast cancer patients. Thirty-five patients died of breast cancer, and 60 were still alive 10 years after surgery. Duplicates cores were used to create training and test set. The TMA slides were stained with Feulgen–thionin and imaged using our in-house high-resolution Imaging system. Automated segmentation of cell nuclei followed by manual selection of intact, in-focus nuclei resulted in an average of 50 cell nuclei per sample available for analysis. Using forward stepwise linear discriminant analysis, a combination of six features that combined linearly gave the best discrimination between the two groups of cells: cells collected from ‘deceased’ patients TMA specimens and cells collected from “survivors” patients TMA specimens. Five of these features measure the spatial organization of DNA chromatin. The resulting canonical score is named cell LDO score. A patient LDO score, percentage of cell nuclei with a cell LDO score higher than a predefined cutoff value, was processed for the specimens in the test set, and a cutoff value was defined to classify patients with a low or a high LDO score. Using this binary test, 82.1% of patients were correctly classified are “deceased” or “survivors,” with a specificity of 79% and a sensitivity of 88%. The relative risk of death of an individual with a high LDO score was nine times higher than for a patient with a low LDO score. When testing the combination of LDO score, node status, histological grade, and tumor grade to predict breast cancer survival, LDO was the most significant predictor. LDO classification was also highly associated with survival for only grade 1 and 2 patients as well as for only grade 3 patients. Our result confirms the potential of LDO to measure phenotypic changes associated with more aggressive disease and could be evaluated to identify patients more likely to benefit from adjuvant therapies.
Appendix
Available only for authorised users
Literature
3.
go back to reference Early Breast Cancer Trialists’ Collaborative Group (EBCTCG), Peto R, Davies C, Godwin J, Gray R, Pan HC, et al. Comparisons between different polychemotherapy regimens for early breast cancer: meta-analyses of long-term outcome among 100,000 women in 123 randomised trials. Lancet. 2012;379(9814):432–44. https://doi.org/10.1016/S0140-6736(11)61625-5.CrossRef Early Breast Cancer Trialists’ Collaborative Group (EBCTCG), Peto R, Davies C, Godwin J, Gray R, Pan HC, et al. Comparisons between different polychemotherapy regimens for early breast cancer: meta-analyses of long-term outcome among 100,000 women in 123 randomised trials. Lancet. 2012;379(9814):432–44. https://​doi.​org/​10.​1016/​S0140-6736(11)61625-5.CrossRef
12.
go back to reference Dowsett M, Cuzick J, Wale C, Forbes J, Mallon EA, Salter J, et al. Prediction of risk of distant recurrence using the 21-gene recurrence score in node-negative and node-positive postmenopausal patients with breast cancer treated with anastrozole or tamoxifen: a TransATAC study. J Clin Oncol. 2010;28(11):1829–34. https://doi.org/10.1200/JCO.2009.24.4798.CrossRefPubMed Dowsett M, Cuzick J, Wale C, Forbes J, Mallon EA, Salter J, et al. Prediction of risk of distant recurrence using the 21-gene recurrence score in node-negative and node-positive postmenopausal patients with breast cancer treated with anastrozole or tamoxifen: a TransATAC study. J Clin Oncol. 2010;28(11):1829–34. https://​doi.​org/​10.​1200/​JCO.​2009.​24.​4798.CrossRefPubMed
13.
16.
go back to reference Garner DM, Todorovic C, Lee WE, inventors. Anonymous Cytological stain composition and method of use. US patent 2,006,199,243; (2005). Garner DM, Todorovic C, Lee WE, inventors. Anonymous Cytological stain composition and method of use. US patent 2,006,199,243; (2005).
20.
go back to reference MacAulay C, Palcic P. An edge relocation segmentation algorithm. Anal Quant Cytol Histol. 1990;12(3):165–71.PubMed MacAulay C, Palcic P. An edge relocation segmentation algorithm. Anal Quant Cytol Histol. 1990;12(3):165–71.PubMed
23.
go back to reference Doudkine A, Mac Aulay C, Poulin N, Palcic B. Nuclear texture measurements in image cytometry. Pathologica. 1995;87:286–99.PubMed Doudkine A, Mac Aulay C, Poulin N, Palcic B. Nuclear texture measurements in image cytometry. Pathologica. 1995;87:286–99.PubMed
25.
go back to reference Poulin N, Susnik B, Guillaud M, Doudkine A, Worth A, Palcic B. Histometric texture analysis of DNA in thin sections from breast biopsies. Application to the detection of malignancy-associated changes in carcinoma in situ. Anal Quant Cytol Histol. 1995;17(5):291–9.PubMed Poulin N, Susnik B, Guillaud M, Doudkine A, Worth A, Palcic B. Histometric texture analysis of DNA in thin sections from breast biopsies. Application to the detection of malignancy-associated changes in carcinoma in situ. Anal Quant Cytol Histol. 1995;17(5):291–9.PubMed
26.
go back to reference Susnik B, Worth A, Palcic B, Poulin N, LeRiche J. Differences in quantitative nuclear features between ductal carcinoma in situ (DCIS) with and without accompanying invasive carcinoma in the surrounding breast. Anal Cell Pathol. 1995;8(1):39–52.PubMed Susnik B, Worth A, Palcic B, Poulin N, LeRiche J. Differences in quantitative nuclear features between ductal carcinoma in situ (DCIS) with and without accompanying invasive carcinoma in the surrounding breast. Anal Cell Pathol. 1995;8(1):39–52.PubMed
31.
44.
go back to reference Sheikhzadeh F, Ye Q, Zulkafly N, Carraro A, Korbelic J, Chen Z, et al. CI Slide: calibration slide for quantitative microscopy imaging in absorbance. In: Nordstrom RJ, Bouchard JP, Allen DW, editors. Design and performance validation of phantoms used in conjunction with optical measurement of tissue VI. Proc. of SPIE Vol. 8945; 2014. p. 894507. Sheikhzadeh F, Ye Q, Zulkafly N, Carraro A, Korbelic J, Chen Z, et al. CI Slide: calibration slide for quantitative microscopy imaging in absorbance. In: Nordstrom RJ, Bouchard JP, Allen DW, editors. Design and performance validation of phantoms used in conjunction with optical measurement of tissue VI. Proc. of SPIE Vol. 8945; 2014. p. 894507.
Metadata
Title
Large-scale DNA organization is a prognostic marker of breast cancer survival
Authors
Martial Guillaud
Qian Ye
Sam Leung
Anita Carraro
Alan Harrison
Malcolm Hayes
Alan Nichol
Mira Keyes
Publication date
01-01-2018
Publisher
Springer US
Published in
Medical Oncology / Issue 1/2018
Print ISSN: 1357-0560
Electronic ISSN: 1559-131X
DOI
https://doi.org/10.1007/s12032-017-1068-1

Other articles of this Issue 1/2018

Medical Oncology 1/2018 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine