Literature DB >> 12821334

Identification of genetic alterations related to chemoresistance in epithelial ovarian cancer.

S Makhija1, A Sit, R Edwards, K Aufman, H Weiss, A Kanbour-Shakir, W Gooding, G D'Angelo, R Ferrell, S Raja, T E Godfrey.   

Abstract

OBJECTIVE: After the completion of primary chemotherapy, the majority of advanced ovarian cancer patients have persistent, chemoresistant disease. Comparative genomic hybridization (CGH) has been used to study genetic alterations that may be responsible for chemoresistance in ovarian cancer. CGH is a useful, genomewide screen but resolution is limited to 5-10 Mb. Recently, quantitative microsatellite analysis (QuMA), a TaqMan-based quantitative PCR technology, has been used for higher resolution of DNA copy number abnormalities. Our goal is to identify specific chromosomal aberrations correlated with platinum resistance.
METHODS: Snap-frozen ovarian tissue samples taken from 22 patients with ovarian cancer between 1994 and 1998 were analyzed. Patients whose ovarian cancer actually demonstrated growth during platinum-combination treatment or no objective evidence of regression following four to six cycles of therapy were considered to have clinically defined platinum-resistant disease. QuMA was carried out at the following loci using the ABI Prism 7700 (TaqMan) instrument with a microsatellite repeat probe: D3S1553, D3S1617, D5S464, D5S630, D6S1581, D6S446, D8S557, D19S208, D20S196, DXS1068. Fisher's exact test, exact logistic regression, and the Cochran-Armitage trend test were used. Because of multiple hypothesis testing, the P values were adjusted with the Bonferroni procedure to limit the familywise error rate to at most 5%.
RESULTS: Of the 22 patients, 12 (54.5%) were platinum-sensitive and 10 (45.5%) were platinum-resistant. When comparing sensitive and resistant patients, no statistically significant difference was noted among stage, grade, histology, and age (P = 0.1292, P = 1.0000, P = 1.0000, P = 1.0000, respectively). In the QuMA analysis, 10 of the 14 (71.4%) patients who had a low copy number of D6S1581 were platinum-resistant, while none of the patients with a normal or high copy number of D6S1581 were platinum-resistant. This was statistically significant when the marker data were treated as either a continuous or a categorical variable (P = 0.0410 and P = 0.0170, respectively). No other loci correlated significantly with platinum resistance.
CONCLUSIONS: D6S1581 was the only genetic marker, of those examined, significantly related to chemoresistance. Patients with a loss of D6S1581 are more likely to be platinum-resistant. Identification of genetic alterations associated with platinum resistance detected by QuMA may contribute to a better understanding of clinical behavior and chemotherapy treatment options for patients.

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Year:  2003        PMID: 12821334     DOI: 10.1016/s0090-8258(03)00177-x

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  5 in total

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Authors:  Dariush Etemadmoghadam; Anna deFazio; Rameen Beroukhim; Craig Mermel; Joshy George; Gad Getz; Richard Tothill; Aikou Okamoto; Maria B Raeder; Paul Harnett; Stephen Lade; Lars A Akslen; Anna V Tinker; Bianca Locandro; Kathryn Alsop; Yoke-Eng Chiew; Nadia Traficante; Sian Fereday; Daryl Johnson; Stephen Fox; William Sellers; Mitsuyoshi Urashima; Helga B Salvesen; Matthew Meyerson; David Bowtell
Journal:  Clin Cancer Res       Date:  2009-02-03       Impact factor: 12.531

Review 2.  Role of the Microenvironment in Regulating Normal and Cancer Stem Cell Activity: Implications for Breast Cancer Progression and Therapy Response.

Authors:  Vasudeva Bhat; Alison L Allan; Afshin Raouf
Journal:  Cancers (Basel)       Date:  2019-08-24       Impact factor: 6.639

3.  LOH at 6q and 10q in fractionated circulating DNA of ovarian cancer patients is predictive for tumor cell spread and overall survival.

Authors:  Jan Dominik Kuhlmann; Heidi Schwarzenbach; Pauline Wimberger; Micaela Poetsch; Rainer Kimmig; Sabine Kasimir-Bauer
Journal:  BMC Cancer       Date:  2012-07-31       Impact factor: 4.430

Review 4.  Genetic and epigenetic heterogeneity of epithelial ovarian cancer and the clinical implications for molecular targeted therapy.

Authors:  Huimin Bai; Dongyan Cao; Jiaxin Yang; Menghui Li; Zhenyu Zhang; Keng Shen
Journal:  J Cell Mol Med       Date:  2016-01-22       Impact factor: 5.310

Review 5.  Comparing the Secretomes of Chemorefractory and Chemoresistant Ovarian Cancer Cell Populations.

Authors:  Amy H Lee; Carolina Mejia Peña; Michelle R Dawson
Journal:  Cancers (Basel)       Date:  2022-03-10       Impact factor: 6.639

  5 in total

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