Skip to main content
Top
Published in: Breast Cancer Research and Treatment 1/2015

01-07-2015 | Brief Report

Circulating DNA of HOTAIR in serum is a novel biomarker for breast cancer

Authors: Lei Zhang, Xinyun Song, Xiaoxia Wang, Yuntao Xie, Zengwu Wang, Ye Xu, Xin You, Zicai Liang, Huiqing Cao

Published in: Breast Cancer Research and Treatment | Issue 1/2015

Login to get access

Abstract

Long non-coding HOX transcript antisense intergenic RNA (HOTAIR) plays an important role in breast cancer. The purpose of this study was to determine whether circulating HOTAIR can be used for breast cancer diagnosis. HOTAIR in serum was measured by PCR-based direct detection. Reverse transcriptase and DNase I treatment were used to distinguish the DNA and RNA forms of HOTAIR. To determine whether circulating HOTAIR is a biomarker for breast cancer, the DNA of HOTAIR from breast cancer patients and healthy controls was measured at both the discovery stage (48 individuals) and an independent validation stage (156 individuals). The diagnostic accuracy was assessed by the receiver operating characteristic curve (ROC) and the area under the curve (AUC). We showed that the major form of HOTAIR-derived fragment in serum is DNA rather than RNA in our study, the same as for MALAT-1, another well-described lincRNA. A higher circulating DNA level of HOTAIR was found in patients at the discovery stage (P = 0.0008). ROC analysis revealed that the circulating HOTAIR DNA distinguished breast cancer patients from healthy individuals (AUC = 0.799). This finding was confirmed at the validation stage. Though circulating MALAT-1 DNA was altered in the discovery stage, it showed no significant difference in the validation stage. In the entire set of 204 samples, the circulating HOTAIR DNA showed a 2.15-fold change in patients compared with healthy controls (P < 0.0001, AUC = 0.786). The optimal cutoff value for diagnosis was 0.30 with sensitivity of 80.0 % and specificity of 68.3 %. Moreover, a correlation between the DNA level of circulating HOTAIR and the progress of breast cancer was established. We have demonstrated that the circulating DNA of HOTAIR is a potential biomarker for breast cancer.
Appendix
Available only for authorised users
Literature
5.
6.
7.
10.
go back to reference Harris L, Fritsche H, Mennel R et al (2007) American Society of Clinical Oncology 2007 update of recommendations for the use of tumor markers in breast cancer. J Clin Oncol 25(33):5287–5312CrossRefPubMed Harris L, Fritsche H, Mennel R et al (2007) American Society of Clinical Oncology 2007 update of recommendations for the use of tumor markers in breast cancer. J Clin Oncol 25(33):5287–5312CrossRefPubMed
11.
go back to reference Duffy MJ, Evoy D, McDermott EW (2010) CA 15-3: uses and limitation as a biomarker for breast cancer. Clin Chim Acta 411(23–24):1869–1874CrossRefPubMed Duffy MJ, Evoy D, McDermott EW (2010) CA 15-3: uses and limitation as a biomarker for breast cancer. Clin Chim Acta 411(23–24):1869–1874CrossRefPubMed
12.
go back to reference Patani N, Martin LA, Dowsett M (2013) Biomarkers for the clinical management of breast cancer: international perspective. Int J Cancer 133(1):1–13CrossRefPubMed Patani N, Martin LA, Dowsett M (2013) Biomarkers for the clinical management of breast cancer: international perspective. Int J Cancer 133(1):1–13CrossRefPubMed
13.
go back to reference Schwarzenbach H, Hoon DS, Pantel K (2011) Cell-free nucleic acids as biomarkers in cancer patients. Nat Rev Cancer 11(6):426–437CrossRefPubMed Schwarzenbach H, Hoon DS, Pantel K (2011) Cell-free nucleic acids as biomarkers in cancer patients. Nat Rev Cancer 11(6):426–437CrossRefPubMed
14.
go back to reference Crowley E, Di Nicolantonio F, Loupakis F et al (2013) Liquid biopsy: monitoring cancer-genetics in the blood. Nat Rev Clin Oncol 10(8):472–484CrossRefPubMed Crowley E, Di Nicolantonio F, Loupakis F et al (2013) Liquid biopsy: monitoring cancer-genetics in the blood. Nat Rev Clin Oncol 10(8):472–484CrossRefPubMed
15.
go back to reference Umetani N, Giuliano AE, Hiramatsu SH et al (2006) Prediction of breast tumor progression by integrity of free circulating DNA in serum. J Clin Oncol 24(26):4270–4276CrossRefPubMed Umetani N, Giuliano AE, Hiramatsu SH et al (2006) Prediction of breast tumor progression by integrity of free circulating DNA in serum. J Clin Oncol 24(26):4270–4276CrossRefPubMed
16.
go back to reference Madhavan D, Wallwiener M, Bents K et al (2014) Plasma DNA integrity as a biomarker for primary and metastatic breast cancer and potential marker for early diagnosis. Breast Cancer Res Treat 146(1):163–174CrossRefPubMed Madhavan D, Wallwiener M, Bents K et al (2014) Plasma DNA integrity as a biomarker for primary and metastatic breast cancer and potential marker for early diagnosis. Breast Cancer Res Treat 146(1):163–174CrossRefPubMed
17.
go back to reference Tangkijvanich P, Hourpai N, Rattanatanyong P et al (2007) Serum LINE-1 hypomethylation as a potential prognostic marker for hepatocellular carcinoma. Clin Chim Acta 379(1–2):127–133CrossRefPubMed Tangkijvanich P, Hourpai N, Rattanatanyong P et al (2007) Serum LINE-1 hypomethylation as a potential prognostic marker for hepatocellular carcinoma. Clin Chim Acta 379(1–2):127–133CrossRefPubMed
18.
go back to reference Ren S, Wang F, Shen J et al (2013) Long non-coding RNA metastasis associated in lung adenocarcinoma transcript 1 derived miniRNA as a novel plasma-based biomarker for diagnosing prostate cancer. Eur J Cancer 49(13):2949–2959CrossRefPubMed Ren S, Wang F, Shen J et al (2013) Long non-coding RNA metastasis associated in lung adenocarcinoma transcript 1 derived miniRNA as a novel plasma-based biomarker for diagnosing prostate cancer. Eur J Cancer 49(13):2949–2959CrossRefPubMed
19.
go back to reference Tinzl M, Marberger M, Horvath S et al (2004) DD3PCA3 RNA analysis in urine–a new perspective for detecting prostate cancer. Eur Urol 46(2):182–186CrossRefPubMed Tinzl M, Marberger M, Horvath S et al (2004) DD3PCA3 RNA analysis in urine–a new perspective for detecting prostate cancer. Eur Urol 46(2):182–186CrossRefPubMed
20.
go back to reference Kumarswamy R, Bauters C, Volkmann I et al (2014) The circulating long non-coding RNA LIPCAR predicts survival in heart failure patients. Circ Res 114:1569–1575CrossRefPubMed Kumarswamy R, Bauters C, Volkmann I et al (2014) The circulating long non-coding RNA LIPCAR predicts survival in heart failure patients. Circ Res 114:1569–1575CrossRefPubMed
21.
go back to reference Koh W, Pan W, Gawad C et al (2014) Noninvasive in vivo monitoring of tissue-specific global gene expression in humans. Proc Natl Acad Sci USA 111(20):7361–7366CrossRefPubMedPubMedCentral Koh W, Pan W, Gawad C et al (2014) Noninvasive in vivo monitoring of tissue-specific global gene expression in humans. Proc Natl Acad Sci USA 111(20):7361–7366CrossRefPubMedPubMedCentral
22.
go back to reference Lee GL, Dobi A, Srivastava S (2011) Prostate cancer: diagnostic performance of the PCA3 urine test. Nat Rev Urol 8(3):123–124CrossRefPubMed Lee GL, Dobi A, Srivastava S (2011) Prostate cancer: diagnostic performance of the PCA3 urine test. Nat Rev Urol 8(3):123–124CrossRefPubMed
23.
go back to reference Rinn JL, Kertesz M, Wang JK et al (2007) Functional demarcation of active and silent chromatin domains in human HOX loci by noncoding RNAs. Cell 129(7):1311–1323CrossRefPubMedPubMedCentral Rinn JL, Kertesz M, Wang JK et al (2007) Functional demarcation of active and silent chromatin domains in human HOX loci by noncoding RNAs. Cell 129(7):1311–1323CrossRefPubMedPubMedCentral
24.
go back to reference Gupta RA, Shah N, Wang KC et al (2010) Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis. Nature 464(7291):1071–1076CrossRefPubMedPubMedCentral Gupta RA, Shah N, Wang KC et al (2010) Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis. Nature 464(7291):1071–1076CrossRefPubMedPubMedCentral
25.
go back to reference Chisholm KM, Wan Y, Li R et al (2012) Detection of long non-coding RNA in archival tissue: correlation with polycomb protein expression in primary and metastatic breast carcinoma. PLoS One 7(10):e47998CrossRefPubMedPubMedCentral Chisholm KM, Wan Y, Li R et al (2012) Detection of long non-coding RNA in archival tissue: correlation with polycomb protein expression in primary and metastatic breast carcinoma. PLoS One 7(10):e47998CrossRefPubMedPubMedCentral
26.
go back to reference Sorensen KP, Thomassen M, Tan Q et al (2013) Long non-coding RNA HOTAIR is an independent prognostic marker of metastasis in estrogen receptor-positive primary breast cancer. Breast Cancer Res Treat 142(3):529–536CrossRefPubMed Sorensen KP, Thomassen M, Tan Q et al (2013) Long non-coding RNA HOTAIR is an independent prognostic marker of metastasis in estrogen receptor-positive primary breast cancer. Breast Cancer Res Treat 142(3):529–536CrossRefPubMed
27.
go back to reference Umetani N, Kim J, Hiramatsu S et al (2006) Increased integrity of free circulating DNA in sera of patients with colorectal or periampullary cancer: direct quantitative PCR for ALU repeats. Clin Chem 52(6):1062–1069CrossRefPubMed Umetani N, Kim J, Hiramatsu S et al (2006) Increased integrity of free circulating DNA in sera of patients with colorectal or periampullary cancer: direct quantitative PCR for ALU repeats. Clin Chem 52(6):1062–1069CrossRefPubMed
28.
go back to reference Iorio MV, Ferracin M, Liu CG et al (2005) MicroRNA gene expression deregulation in human breast cancer. Cancer Res 65(16):7065–7070CrossRefPubMed Iorio MV, Ferracin M, Liu CG et al (2005) MicroRNA gene expression deregulation in human breast cancer. Cancer Res 65(16):7065–7070CrossRefPubMed
29.
go back to reference Cantile M, Cindolo L, Napodano G et al (2003) Hyperexpression of locus C genes in the HOX network is strongly associated in vivo with human bladder transitional cell carcinomas. Oncogene 22(41):6462–6468CrossRefPubMed Cantile M, Cindolo L, Napodano G et al (2003) Hyperexpression of locus C genes in the HOX network is strongly associated in vivo with human bladder transitional cell carcinomas. Oncogene 22(41):6462–6468CrossRefPubMed
30.
go back to reference Fischer U, Keller A, Leidinger P et al (2008) A different view on DNA amplifications indicates frequent, highly complex, and stable amplicons on 12q13-21 in glioma. Mol Cancer Res 6(4):576–584CrossRefPubMed Fischer U, Keller A, Leidinger P et al (2008) A different view on DNA amplifications indicates frequent, highly complex, and stable amplicons on 12q13-21 in glioma. Mol Cancer Res 6(4):576–584CrossRefPubMed
31.
go back to reference Trombetta D, Mertens F, Lonoce A et al (2009) Characterization of a hotspot region on chromosome 12 for amplification in ring chromosomes in atypical lipomatous tumors. Genes Chromosom Cancer 48(11):993–1001CrossRefPubMed Trombetta D, Mertens F, Lonoce A et al (2009) Characterization of a hotspot region on chromosome 12 for amplification in ring chromosomes in atypical lipomatous tumors. Genes Chromosom Cancer 48(11):993–1001CrossRefPubMed
32.
go back to reference Courjal F, Theillet C (1997) Comparative genomic hybridization analysis of breast tumors with predetermined profiles of DNA amplification. Cancer Res 57(19):4368–4377PubMed Courjal F, Theillet C (1997) Comparative genomic hybridization analysis of breast tumors with predetermined profiles of DNA amplification. Cancer Res 57(19):4368–4377PubMed
33.
go back to reference Page K, Hava N, Ward B et al (2011) Detection of HER2 amplification in circulating free DNA in patients with breast cancer. Br J Cancer 104(8):1342–1348CrossRefPubMedPubMedCentral Page K, Hava N, Ward B et al (2011) Detection of HER2 amplification in circulating free DNA in patients with breast cancer. Br J Cancer 104(8):1342–1348CrossRefPubMedPubMedCentral
34.
go back to reference Pantel K, Alix-Panabieres C (2013) Real-time liquid biopsy in cancer patients: fact or fiction? Cancer Res 73(21):6384–6388CrossRefPubMed Pantel K, Alix-Panabieres C (2013) Real-time liquid biopsy in cancer patients: fact or fiction? Cancer Res 73(21):6384–6388CrossRefPubMed
35.
go back to reference Dawson SJ, Tsui DW, Murtaza M et al (2013) Analysis of circulating tumor DNA to monitor metastatic breast cancer. N Engl J Med 368(13):1199–1209CrossRefPubMed Dawson SJ, Tsui DW, Murtaza M et al (2013) Analysis of circulating tumor DNA to monitor metastatic breast cancer. N Engl J Med 368(13):1199–1209CrossRefPubMed
36.
go back to reference Skvortsova TE, Rykova EY, Tamkovich SN et al (2006) Cell-free and cell-bound circulating DNA in breast tumours: DNA quantification and analysis of tumour-related gene methylation. Br J Cancer 94(10):1492–1495CrossRefPubMedPubMedCentral Skvortsova TE, Rykova EY, Tamkovich SN et al (2006) Cell-free and cell-bound circulating DNA in breast tumours: DNA quantification and analysis of tumour-related gene methylation. Br J Cancer 94(10):1492–1495CrossRefPubMedPubMedCentral
37.
go back to reference Silva JM, Silva J, Sanchez A et al (2002) Tumor DNA in plasma at diagnosis of breast cancer patients is a valuable predictor of disease-free survival. Clin Cancer Res 8(12):3761–3766PubMed Silva JM, Silva J, Sanchez A et al (2002) Tumor DNA in plasma at diagnosis of breast cancer patients is a valuable predictor of disease-free survival. Clin Cancer Res 8(12):3761–3766PubMed
38.
39.
go back to reference Board RE, Wardley AM, Dixon JM et al (2010) Detection of PIK3CA mutations in circulating free DNA in patients with breast cancer. Breast Cancer Res Treat 120(2):461–467CrossRefPubMed Board RE, Wardley AM, Dixon JM et al (2010) Detection of PIK3CA mutations in circulating free DNA in patients with breast cancer. Breast Cancer Res Treat 120(2):461–467CrossRefPubMed
41.
go back to reference Schwarzenbach H, Eichelser C, Kropidlowski J et al (2012) Loss of heterozygosity at tumor suppressor genes detectable on fractionated circulating cell-free tumor DNA as indicator of breast cancer progression. Clin Cancer Res 18(20):5719–5730CrossRefPubMed Schwarzenbach H, Eichelser C, Kropidlowski J et al (2012) Loss of heterozygosity at tumor suppressor genes detectable on fractionated circulating cell-free tumor DNA as indicator of breast cancer progression. Clin Cancer Res 18(20):5719–5730CrossRefPubMed
42.
go back to reference Mouliere F, El Messaoudi S, Pang D et al (2014) Multi-marker analysis of circulating cell-free DNA toward personalized medicine for colorectal cancer. Mol Oncol 8(5):927–941CrossRefPubMed Mouliere F, El Messaoudi S, Pang D et al (2014) Multi-marker analysis of circulating cell-free DNA toward personalized medicine for colorectal cancer. Mol Oncol 8(5):927–941CrossRefPubMed
43.
go back to reference Asaga S, Kuo C, Nguyen T et al (2011) Direct serum assay for microRNA-21 concentrations in early and advanced breast cancer. Clin Chem 57(1):84–91CrossRefPubMed Asaga S, Kuo C, Nguyen T et al (2011) Direct serum assay for microRNA-21 concentrations in early and advanced breast cancer. Clin Chem 57(1):84–91CrossRefPubMed
44.
go back to reference Catarino R, Ferreira MM, Rodrigues H et al (2008) Quantification of free circulating tumor DNA as a diagnostic marker for breast cancer. DNA Cell Biol 27(8):415–421CrossRefPubMed Catarino R, Ferreira MM, Rodrigues H et al (2008) Quantification of free circulating tumor DNA as a diagnostic marker for breast cancer. DNA Cell Biol 27(8):415–421CrossRefPubMed
45.
go back to reference Rogers JC, Boldt D, Kornfeld S et al (1972) Excretion of deoxyribonucleic acid by lymphocytes stimulated with phytohemagglutinin or antigen. Proc Natl Acad Sci USA 69(7):1685–1689CrossRefPubMedPubMedCentral Rogers JC, Boldt D, Kornfeld S et al (1972) Excretion of deoxyribonucleic acid by lymphocytes stimulated with phytohemagglutinin or antigen. Proc Natl Acad Sci USA 69(7):1685–1689CrossRefPubMedPubMedCentral
46.
go back to reference Stroun M, Maurice P, Vasioukhin V et al (2000) The origin and mechanism of circulating DNA. Ann NY Acad Sci 906:161–168CrossRefPubMed Stroun M, Maurice P, Vasioukhin V et al (2000) The origin and mechanism of circulating DNA. Ann NY Acad Sci 906:161–168CrossRefPubMed
47.
go back to reference Chan M, Liaw CS, Ji SM et al (2013) Identification of circulating microRNA signatures for breast cancer detection. Clin Cancer Res 19(16):4477–4487CrossRefPubMed Chan M, Liaw CS, Ji SM et al (2013) Identification of circulating microRNA signatures for breast cancer detection. Clin Cancer Res 19(16):4477–4487CrossRefPubMed
48.
go back to reference Kodahl AR, Lyng MB, Binder H et al (2014) Novel circulating microRNA signature as a potential non-invasive multi-marker test in ER-positive early-stage breast cancer: a case control study. Mol Oncol 8(5):874–883CrossRefPubMed Kodahl AR, Lyng MB, Binder H et al (2014) Novel circulating microRNA signature as a potential non-invasive multi-marker test in ER-positive early-stage breast cancer: a case control study. Mol Oncol 8(5):874–883CrossRefPubMed
49.
go back to reference Hu Z, Chen X, Zhao Y et al (2010) Serum microRNA signatures identified in a genome-wide serum microRNA expression profiling predict survival of non-small-cell lung cancer. J Clin Oncol 28(10):1721–1726CrossRefPubMed Hu Z, Chen X, Zhao Y et al (2010) Serum microRNA signatures identified in a genome-wide serum microRNA expression profiling predict survival of non-small-cell lung cancer. J Clin Oncol 28(10):1721–1726CrossRefPubMed
50.
go back to reference Kleivi Sahlberg K, Bottai G, Naume B et al (2015) A serum microRNA signature predicts tumor relapse and survival in triple-negative breast cancer patients. Clin Cancer Res 21(5):1207–1214CrossRefPubMed Kleivi Sahlberg K, Bottai G, Naume B et al (2015) A serum microRNA signature predicts tumor relapse and survival in triple-negative breast cancer patients. Clin Cancer Res 21(5):1207–1214CrossRefPubMed
Metadata
Title
Circulating DNA of HOTAIR in serum is a novel biomarker for breast cancer
Authors
Lei Zhang
Xinyun Song
Xiaoxia Wang
Yuntao Xie
Zengwu Wang
Ye Xu
Xin You
Zicai Liang
Huiqing Cao
Publication date
01-07-2015
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 1/2015
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-015-3431-2

Other articles of this Issue 1/2015

Breast Cancer Research and Treatment 1/2015 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine