Literature DB >> 17351743

Correlation of levels and patterns of genomic instability with histological grading of invasive breast tumors.

Rachel E Ellsworth1, Jeffrey A Hooke, Brad Love, Jennifer L Kane, Heather L Patney, Darrell L Ellsworth, Craig D Shriver.   

Abstract

Pathological grade is a useful prognostic factor for stratifying breast cancer patients into favorable (well-differentiated tumors) and less favorable (poorly-differentiated tumors) outcome groups. The current system of tumor grading, however, is subjective and a large proportion of tumors are characterized as intermediate-grade tumors, making determination of optimal treatments difficult. To determine whether molecular profiles can discriminate breast disease by grade, patterns and levels of allelic imbalance (AI) at 26 chromosomal regions frequently altered in breast disease were examined in 185 laser microdissected specimens representing well-differentiated (grade 1; n = 55), moderately-differentiated (grade 2; n = 71), and poorly-differentiated (grade 3; n = 59) stage I-IV breast tumors. Overall levels of AI were significantly higher in grade 3 compared to grade 1 tumors (P < 0.05). Grades 1 and 3 showed distinct genetic profiles--grade 1 tumors were associated with large deletions of chromosome 16q22, while alterations at 9p21, 11q23, 13q14, 17p13.1 and 17q12 were characteristics of grade 3 carcinomas. In general, levels and patterns of AI in grade 2 carcinomas were intermediate between grade 1 and grade 3 tumors. Patterns of AI accurately categorized approximately 70% of samples into high- or low-grade disease groups, suggesting that the majority of breast tumors have genetic profiles consistent with high- or low-grade, and that molecular signatures of breast tumors can be useful for more accurate characterization of invasive breast cancer.

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Year:  2007        PMID: 17351743     DOI: 10.1007/s10549-007-9547-2

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  7 in total

1.  A qualitative transcriptional signature to reclassify histological grade of ER-positive breast cancer patients.

Authors:  Jing Li; Wenbin Jiang; Qirui Liang; Guanghao Liu; Yupeng Dai; Hailong Zheng; Jing Yang; Hao Cai; Guo Zheng
Journal:  BMC Genomics       Date:  2020-04-06       Impact factor: 3.969

2.  Genomic heterogeneity of breast tumor pathogenesis.

Authors:  Rachel E Ellsworth; Jeffrey A Hooke; Craig D Shriver; Darrell L Ellsworth
Journal:  Clin Med Oncol       Date:  2009-07-29

3.  Molecular changes in primary breast tumors and the Nottingham Histologic Score.

Authors:  Rachel E Ellsworth; Jeffrey A Hooke; Brad Love; Darrell L Ellsworth; Craig D Shriver
Journal:  Pathol Oncol Res       Date:  2009-02-05       Impact factor: 3.201

4.  Molecular alterations associated with breast cancer mortality.

Authors:  Laura M Voeghtly; Kim Mamula; J Leigh Campbell; Craig D Shriver; Rachel E Ellsworth
Journal:  PLoS One       Date:  2012-10-04       Impact factor: 3.240

5.  Chromosome 9p deletion in clear cell renal cell carcinoma predicts recurrence and survival following surgery.

Authors:  I El-Mokadem; J Fitzpatrick; J Bondad; P Rauchhaus; J Cunningham; N Pratt; S Fleming; G Nabi
Journal:  Br J Cancer       Date:  2014-08-19       Impact factor: 7.640

6.  The CIN4 chromosomal instability qPCR classifier defines tumor aneuploidy and stratifies outcome in grade 2 breast cancer.

Authors:  Attila Marcell Szász; Qiyuan Li; Aron C Eklund; Zsófia Sztupinszki; Andrew Rowan; Anna-Mária Tőkés; Borbála Székely; András Kiss; Miklós Szendrői; Balázs Győrffy; Zoltán Szállási; Charles Swanton; Janina Kulka
Journal:  PLoS One       Date:  2013-02-26       Impact factor: 3.240

7.  Amplification of HER2 is a marker for global genomic instability.

Authors:  Rachel E Ellsworth; Darrell L Ellsworth; Heather L Patney; Brenda Deyarmin; Brad Love; Jeffrey A Hooke; Craig D Shriver
Journal:  BMC Cancer       Date:  2008-10-14       Impact factor: 4.430

  7 in total

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