TY - JOUR
T1 - Epigenetic markers of prostate cancer in plasma circulating DNA
AU - Cortese, Rene
AU - Kwan, Andrew
AU - Lalonde, Emilie
AU - Bryzgunova, Olga
AU - Bondar, Anna
AU - Wu, Ying
AU - Gordevicius, Juozas
AU - Park, Mina
AU - Oh, Gabriel
AU - Kaminsky, Zachary
AU - Tverkuviene, Justina
AU - Laurinavicius, Arvydas
AU - Jankevicius, Feliksas
AU - Sendorek, Dorota H.S.
AU - Haider, Syed
AU - Wang, Sun Chong
AU - Jarmalaite, Sonata
AU - Laktionov, Pavel
AU - Boutros, Paul C.
AU - Petronis, Arturas
PY - 2012/8
Y1 - 2012/8
N2 - Epigenetic differences are a common feature of many diseases, including cancer, and disease-associated changes have even been detected in bodily fluids. DNA modification studies in circulating DNA (cirDNA) may lead to the development of specific non-invasive biomarkers. To test this hypothesis, we investigated cirDNA modifications in prostate cancer patients with locally confined disease (n = 19), in patients with benign prostate hyperplasias (n = 20) and in men without any known prostate disease (n = 20). This initial discovery screen identified 39 disease-associated changes in cirDNA modification, and seven of these were validated using the sodium bisulfite-based mapping of modified cytosines in both the discovery cohort and an independent 38-patient validation cohort. In particular, we showed that the DNA modification of regions adjacent to the gene encoding ring finger protein 219 distinguished prostate cancer from benign hyperplasias with good sensitivity (61%) and specificity (71%). We also showed that repetitive sequences detected in this study were meaningful, as they indicated a highly statistically significant loss of DNA at the pericentromeric region of chromosome 10 in prostate cancer patients (p = 1.8 × 10-6). Based on these strong univariate results, we applied machine-learning techniques to develop a multi-locus biomarker that correctly distinguished prostate cancer samples from unaffected controls with 72% accuracy. Lastly, we used systems biology techniques to integrate our data with publicly available DNA modification and transcriptomic data from primary prostate tumors, thereby prioritizing genes for further studies. These data suggest that cirDNA epigenomics are promising source for non-invasive biomarkers.
AB - Epigenetic differences are a common feature of many diseases, including cancer, and disease-associated changes have even been detected in bodily fluids. DNA modification studies in circulating DNA (cirDNA) may lead to the development of specific non-invasive biomarkers. To test this hypothesis, we investigated cirDNA modifications in prostate cancer patients with locally confined disease (n = 19), in patients with benign prostate hyperplasias (n = 20) and in men without any known prostate disease (n = 20). This initial discovery screen identified 39 disease-associated changes in cirDNA modification, and seven of these were validated using the sodium bisulfite-based mapping of modified cytosines in both the discovery cohort and an independent 38-patient validation cohort. In particular, we showed that the DNA modification of regions adjacent to the gene encoding ring finger protein 219 distinguished prostate cancer from benign hyperplasias with good sensitivity (61%) and specificity (71%). We also showed that repetitive sequences detected in this study were meaningful, as they indicated a highly statistically significant loss of DNA at the pericentromeric region of chromosome 10 in prostate cancer patients (p = 1.8 × 10-6). Based on these strong univariate results, we applied machine-learning techniques to develop a multi-locus biomarker that correctly distinguished prostate cancer samples from unaffected controls with 72% accuracy. Lastly, we used systems biology techniques to integrate our data with publicly available DNA modification and transcriptomic data from primary prostate tumors, thereby prioritizing genes for further studies. These data suggest that cirDNA epigenomics are promising source for non-invasive biomarkers.
UR - http://www.scopus.com/inward/record.url?scp=84865099717&partnerID=8YFLogxK
U2 - 10.1093/hmg/dds192
DO - 10.1093/hmg/dds192
M3 - 期刊論文
C2 - 22619380
AN - SCOPUS:84865099717
SN - 0964-6906
VL - 21
SP - 3619
EP - 3631
JO - Human Molecular Genetics
JF - Human Molecular Genetics
IS - 16
M1 - dds192
ER -