BACKGROUND: In breast cancer progression, the prevalence of damage at specific genetic loci often increases with the stage of the lesion (i.e., from noninvasive to invasive to metastatic). By use of genetic markers and analysis of allelic imbalances (loss of heterozygosity [LOH]) to compare DNA samples from paired normal and breast tumor tissues, we examined whether specific genetic changes in primary breast cancers can serve as biomarkers of metastatic potential. METHODS: DNA samples from 76 patients with primary breast cancer (42 with axillary lymph node-negative disease and 34 with axillary lymph node-positive disease) were genotyped with four genetic markers spanning chromosome 14q31-q32. The intensity ratios of the two genetic alleles in normal-tumor DNA pairs were examined in genetically informative individuals. LOH was scored when the tumor allele intensity ratio (tumor allele 1/tumor allele 2) divided by the normal allele intensity ratio (normal allele 1/normal allele 2) was either less than 0.71 (tumor allele 1 LOH) or greater than 1. 4 (tumor allele 2 LOH). RESULTS/ CONCLUSIONS: Contrary to our expectations, we found statistically significantly more LOH events at markers D14S62 (two-sided P =.001) and D14S51 (two-sided P =.02) in primary breast cancers from patients with lymph node-negative disease versus lymph node-positive disease, suggesting the presence of a gene in this region that affects metastatic potential. Analysis of small interstitial or terminal deletions in the tumors of six especially informative patients with lymph node-negative disease places the putative metastasis-related gene in a 1490-kilobase region near D14S62. IMPLICATIONS: LOH in the D14S62 region may impede the process of metastasis. Therefore, the D14S62 region LOH profile may have prognostic implications, and the isolation of the metastasis-related gene(s) in this region may lead to better diagnosis and treatment of breast cancer.
BACKGROUND: In breast cancer progression, the prevalence of damage at specific genetic loci often increases with the stage of the lesion (i.e., from noninvasive to invasive to metastatic). By use of genetic markers and analysis of allelic imbalances (loss of heterozygosity [LOH]) to compare DNA samples from paired normal and breast tumor tissues, we examined whether specific genetic changes in primary breast cancers can serve as biomarkers of metastatic potential. METHODS: DNA samples from 76 patients with primary breast cancer (42 with axillary lymph node-negative disease and 34 with axillary lymph node-positive disease) were genotyped with four genetic markers spanning chromosome 14q31-q32. The intensity ratios of the two genetic alleles in normal-tumor DNA pairs were examined in genetically informative individuals. LOH was scored when the tumor allele intensity ratio (tumor allele 1/tumor allele 2) divided by the normal allele intensity ratio (normal allele 1/normal allele 2) was either less than 0.71 (tumor allele 1 LOH) or greater than 1. 4 (tumor allele 2 LOH). RESULTS/ CONCLUSIONS: Contrary to our expectations, we found statistically significantly more LOH events at markers D14S62 (two-sided P =.001) and D14S51 (two-sided P =.02) in primary breast cancers from patients with lymph node-negative disease versus lymph node-positive disease, suggesting the presence of a gene in this region that affects metastatic potential. Analysis of small interstitial or terminal deletions in the tumors of six especially informative patients with lymph node-negative disease places the putative metastasis-related gene in a 1490-kilobase region near D14S62. IMPLICATIONS: LOH in the D14S62 region may impede the process of metastasis. Therefore, the D14S62 region LOH profile may have prognostic implications, and the isolation of the metastasis-related gene(s) in this region may lead to better diagnosis and treatment of breast cancer.
Authors: Arthur Kwok Leung Cheung; Hong Lok Lung; Josephine Mun Yee Ko; Yue Cheng; Eric J Stanbridge; Eugene R Zabarovsky; John M Nicholls; Daniel Chua; Sai Wah Tsao; Xin-Yuan Guan; Maria Li Lung Journal: Proc Natl Acad Sci U S A Date: 2009-08-10 Impact factor: 11.205
Authors: S Oesterreich; D C Allredl; S K Mohsin; Q Zhang; H Wong; A V Lee; C K Osborne; P O'Connell Journal: Br J Cancer Date: 2001-02 Impact factor: 7.640
Authors: Patnala Mohan R Achary; Hui Zhao; Zuoheng Fan; Swarna Gogineni; Venkat R Pulijaal; Lawrence Herbst; Panna S Mahadevia; Joan G Jones; Harold P Klinger; Bhadrasain Vikram Journal: Breast Cancer Res Date: 2003-01-30 Impact factor: 6.466