Literature DB >> 29214466

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

Martial Guillaud1, Qian Ye2, Sam Leung3, Anita Carraro2, Alan Harrison2, Malcolm Hayes4, Alan Nichol5, Mira Keyes5.   

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.

Entities:  

Keywords:  Breast cancer; DNA chromatin texture; Imaging biomarker; Prognosis

Mesh:

Substances:

Year:  2017        PMID: 29214466     DOI: 10.1007/s12032-017-1068-1

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  39 in total

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2.  Bimodality of intratumor Ki67 expression is an independent prognostic factor of overall survival in patients with invasive breast carcinoma.

Authors:  Arvydas Laurinavicius; Benoit Plancoulaine; Allan Rasmusson; Justinas Besusparis; Renaldas Augulis; Raimundas Meskauskas; Paulette Herlin; Aida Laurinaviciene; Abir A Abdelhadi Muftah; Islam Miligy; Mohammed Aleskandarany; Emad A Rakha; Andrew R Green; Ian O Ellis
Journal:  Virchows Arch       Date:  2016-01-27       Impact factor: 4.064

3.  A Java application for tissue section image analysis.

Authors:  R Kamalov; M Guillaud; D Haskins; A Harrison; R Kemp; D Chiu; M Follen; C MacAulay
Journal:  Comput Methods Programs Biomed       Date:  2005-02       Impact factor: 5.428

4.  Nuclear morphometry as a biomarker for bronchial intraepithelial neoplasia: correlation with genetic damage and cancer development.

Authors:  Martial Guillaud; Jean C le Riche; Chris Dawe; Jagoda Korbelik; Andy Coldman; Ignacio I Wistuba; In-Won Park; Adi Gazdar; Stephen Lam; Calum E MacAulay
Journal:  Cytometry A       Date:  2005       Impact factor: 4.355

5.  Potential use of quantitative tissue phenotype to predict malignant risk for oral premalignant lesions.

Authors:  Martial Guillaud; Lewei Zhang; Catherine Poh; Miriam P Rosin; Calum MacAulay
Journal:  Cancer Res       Date:  2008-05-01       Impact factor: 12.701

6.  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.

Authors:  Mitch Dowsett; Jack Cuzick; Christopher Wale; John Forbes; Elizabeth A Mallon; Janine Salter; Emma Quinn; Anita Dunbier; Michael Baum; Aman Buzdar; Anthony Howell; Roberto Bugarini; Frederick L Baehner; Steven Shak
Journal:  J Clin Oncol       Date:  2010-03-08       Impact factor: 44.544

7.  Comparisons between different polychemotherapy regimens for early breast cancer: meta-analyses of long-term outcome among 100,000 women in 123 randomised trials.

Authors:  R Peto; C Davies; J Godwin; R Gray; H C Pan; M Clarke; D Cutter; S Darby; P McGale; C Taylor; Y C Wang; J Bergh; A Di Leo; K Albain; S Swain; M Piccart; K Pritchard
Journal:  Lancet       Date:  2011-12-05       Impact factor: 79.321

8.  PREDICT Plus: development and validation of a prognostic model for early breast cancer that includes HER2.

Authors:  G C Wishart; C D Bajdik; E Dicks; E Provenzano; M K Schmidt; M Sherman; D C Greenberg; A R Green; K A Gelmon; V-M Kosma; J E Olson; M W Beckmann; R Winqvist; S S Cross; G Severi; D Huntsman; K Pylkäs; I Ellis; T O Nielsen; G Giles; C Blomqvist; P A Fasching; F J Couch; E Rakha; W D Foulkes; F M Blows; L R Bégin; L J van't Veer; M Southey; H Nevanlinna; A Mannermaa; A Cox; M Cheang; L Baglietto; C Caldas; M Garcia-Closas; P D P Pharoah
Journal:  Br J Cancer       Date:  2012-07-31       Impact factor: 7.640

9.  Nanoscale changes in chromatin organization represent the initial steps of tumorigenesis: a transmission electron microscopy study.

Authors:  Lusik Cherkezyan; Yolanda Stypula-Cyrus; Hariharan Subramanian; Craig White; Mart Dela Cruz; Ramesh K Wali; Michael J Goldberg; Laura K Bianchi; Hemant K Roy; Vadim Backman
Journal:  BMC Cancer       Date:  2014-03-14       Impact factor: 4.430

10.  Impact of tissue sampling on accuracy of Ki67 immunohistochemistry evaluation in breast cancer.

Authors:  Justinas Besusparis; Benoit Plancoulaine; Allan Rasmusson; Renaldas Augulis; Andrew R Green; Ian O Ellis; Aida Laurinaviciene; Paulette Herlin; Arvydas Laurinavicius
Journal:  Diagn Pathol       Date:  2016-08-30       Impact factor: 2.644

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