Literature DB >> 17044060

Analysis of chromosomal changes in serous ovarian carcinoma using high-resolution array comparative genomic hybridization: Potential predictive markers of chemoresistant disease.

Sang Wun Kim1, Jae Wook Kim, Young Tae Kim, Jae Hoon Kim, Sunghoon Kim, Bo Sung Yoon, Eun Ji Nam, Hye Yeon Kim.   

Abstract

The mechanism of drug resistance in cancer is multifactorial, and the accumulation of multiple genetic changes may lead to drug-resistant phenotypes. This study sought to determine characteristic genetic changes in chemoresistant serous ovarian carcinomas using high-resolution array comparative genomic hybridization (aCGH), and identified genomic aberrations that could be used as predictive markers of chemoresistant disease. Seventeen primary ovarian tumors from optimally debulked stage IIIc serous ovarian carcinoma patients were analyzed using aCGH. Ten patients had chemoresistant disease (progression within 12 months of initial chemotherapy), whereas seven patients had chemosensitive disease (no recurrence for more than 36 months). Receiver operating characteristics curve analysis was used to select chromosomal aberrations that could help distinguish chemoresistant disease from chemosensitive disease. In 17 tumors, frequent increases in DNA copy number were seen on 1p36.33, 3q26.2, 8q24.3, 10q26.3, 12p11.21, 20q13.33, and 21q22.3, and frequent losses were observed on 4p12, 5q13.2, 7q11.21, 8p23.1, 14q32.33, Xq13.3, and Xq21.31. The gains on 5p15.33 and 14q11.2, and losses on 4q34.2, 4q35.2, 5q15, 8p21.1, 8p21.2, 11p15.5, 13q14.13, 13q14.2, 13q32.1, 13q34, 16q22.2, 17p11.2, 17p12, and 22q12.3 were more frequent in chemoresistant disease. The losses on 13q32.1 and 8p21.1 had the largest areas under the curve (AUC 0.90 and 0.85, respectively). The most reliable combination of chromosomal aberrations for detecting chemoresistant disease was the loss on 13q32.1 and 8p21.1 (AUC 0.950). Our findings suggest that these chromosomal aberrations are potential predictive markers of chemoresistant disease in patients with serous ovarian carcinomas. Copyright 2006 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17044060     DOI: 10.1002/gcc.20384

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  39 in total

1.  Shank-interacting protein-like 1 promotes tumorigenesis via PTEN inhibition in human tumor cells.

Authors:  Lizhi He; Alistair Ingram; Adrian P Rybak; Damu Tang
Journal:  J Clin Invest       Date:  2010-05-10       Impact factor: 14.808

2.  Gain of miR-151 on chromosome 8q24.3 facilitates tumour cell migration and spreading through downregulating RhoGDIA.

Authors:  Jie Ding; Shenglin Huang; Shunquan Wu; Yingjun Zhao; Linhui Liang; Mingxia Yan; Chao Ge; Jian Yao; Taoyang Chen; Dafang Wan; Hongyang Wang; Jianren Gu; Ming Yao; Jinjun Li; Hong Tu; Xianghuo He
Journal:  Nat Cell Biol       Date:  2010-03-21       Impact factor: 28.824

3.  17p12 deletion in breast cancer predicts resistance to neoadjuvant chemotherapy.

Authors:  Wonshik Han; Jung Hoon Woo; Yoon Kyung Jeon; Song-Ju Yang; Jihyoung Cho; Eunyoung Ko; Tae-You Kim; Seock-Ah Im; DO-Youn Oh; In-Ae Park; Ki-Tae Hwang; Hyeong-Gon Moon; Kap-Seok Yang; Dong-Young Noh
Journal:  Exp Ther Med       Date:  2011-06-29       Impact factor: 2.447

4.  Genome-wide Analysis of Common Copy Number Variation and Epithelial Ovarian Cancer Risk.

Authors:  Brett M Reid; Jennifer B Permuth; Y Ann Chen; Brooke L Fridley; Edwin S Iversen; Zhihua Chen; Heather Jim; Robert A Vierkant; Julie M Cunningham; Jill S Barnholtz-Sloan; Steven Narod; Harvey Risch; Joellen M Schildkraut; Ellen L Goode; Alvaro N Monteiro; Thomas A Sellers
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-04-04       Impact factor: 4.254

Review 5.  Spatial regulation of receptor tyrosine kinases in development and cancer.

Authors:  Jessica B Casaletto; Andrea I McClatchey
Journal:  Nat Rev Cancer       Date:  2012-05-24       Impact factor: 60.716

Review 6.  Large-scale genomic analysis of ovarian carcinomas.

Authors:  Kylie L Gorringe; Ian G Campbell
Journal:  Mol Oncol       Date:  2008-12-24       Impact factor: 6.603

7.  Genetic variants associated with breast cancer risk for Ashkenazi Jewish women with strong family histories but no identifiable BRCA1/2 mutation.

Authors:  Erica S Rinella; Yongzhao Shao; Lauren Yackowski; Sreemanta Pramanik; Ruth Oratz; Freya Schnabel; Saurav Guha; Charles LeDuc; Christopher L Campbell; Susan D Klugman; Mary Beth Terry; Ruby T Senie; Irene L Andrulis; Mary Daly; Esther M John; Daniel Roses; Wendy K Chung; Harry Ostrer
Journal:  Hum Genet       Date:  2013-01-25       Impact factor: 4.132

Review 8.  Cancer gene discovery in mouse and man.

Authors:  Jenny Mattison; Louise van der Weyden; Tim Hubbard; David J Adams
Journal:  Biochim Biophys Acta       Date:  2009-03-12

9.  miR-200 enhances mouse breast cancer cell colonization to form distant metastases.

Authors:  Derek M Dykxhoorn; Yichao Wu; Huangming Xie; Fengyan Yu; Ashish Lal; Fabio Petrocca; Denis Martinvalet; Erwei Song; Bing Lim; Judy Lieberman
Journal:  PLoS One       Date:  2009-09-29       Impact factor: 3.240

10.  Potential predictive markers of chemotherapy resistance in stage III ovarian serous carcinomas.

Authors:  Lovisa Osterberg; Kristina Levan; Karolina Partheen; Ulla Delle; Björn Olsson; Karin Sundfeldt; György Horvath
Journal:  BMC Cancer       Date:  2009-10-18       Impact factor: 4.430

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.