Literature DB >> 30218172

DNA methylation marker to estimate the breast cancer cell fraction in DNA samples.

Hiroki Ishihara1,2, Satoshi Yamashita1, Satoshi Fujii3, Kazunari Tanabe2, Hirofumi Mukai4, Toshikazu Ushijima5.   

Abstract

Estimation of the cancer cell fraction in breast cancer tissue is important for exclusion of samples unsuitable for multigene prognostic assays and a variety of molecular analyses for research. Here, we aimed to establish a breast cancer cell fraction marker based on DNA methylation. First, we screened genes unmethylated in non-cancerous mammary tissues and methylated in breast cancer tissues using microarray data from the TCGA database, and isolated 12 genes. Among them, four genes were selected as candidate marker genes without a high incidence of copy number alterations and with broad coverage across patients. Bisulfite pyrosequencing analysis of additional breast cancer biopsy specimens purified by laser capture microdissection (LCM) excluded two genes, and a combination of SIM1 and CCDC181 was finally selected as a fraction marker. In further additional specimens without LCM purification, the fraction marker was substantially methylated (≥ 20%) with high incidence (50/51). The cancer cell fraction estimated by the fraction marker was significantly correlated with that estimated by microscopic examination (p < 0.0001). Performance of a previously established marker, HSD17B4 methylation, which predicts therapeutic response of HER2-positive breast cancer to trastuzumab, was improved after the correction of cancer cell fraction by the fraction marker. In conclusion, we successfully established a breast cancer cell fraction marker based on DNA methylation.

Entities:  

Keywords:  Breast cancer; Cancer cell content; Cancer cell fraction; DNA methylation; HER2; HSD17B4; Trastuzumab

Mesh:

Substances:

Year:  2018        PMID: 30218172     DOI: 10.1007/s12032-018-1207-3

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  30 in total

1.  Evaluation of affinity-based genome-wide DNA methylation data: effects of CpG density, amplification bias, and copy number variation.

Authors:  Mark D Robinson; Clare Stirzaker; Aaron L Statham; Marcel W Coolen; Jenny Z Song; Shalima S Nair; Dario Strbenac; Terence P Speed; Susan J Clark
Journal:  Genome Res       Date:  2010-11-02       Impact factor: 9.043

2.  The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1-3 positive lymph nodes in an independent validation study.

Authors:  Stella Mook; Marjanka K Schmidt; Giuseppe Viale; Giancarlo Pruneri; Inge Eekhout; Arno Floore; Annuska M Glas; Jan Bogaerts; Fatima Cardoso; Martine J Piccart-Gebhart; Emiel T Rutgers; Laura J Van't Veer
Journal:  Breast Cancer Res Treat       Date:  2008-07-27       Impact factor: 4.872

3.  Identification and validation of DNA methylation markers to predict lymph node metastasis of esophageal squamous cell carcinomas.

Authors:  Ken Gyobu; Satoshi Yamashita; Yasunori Matsuda; Hiroyasu Igaki; Tohru Niwa; Daiji Oka; Ryoji Kushima; Harushi Osugi; Shigeru Lee; Shigefumi Suehiro; Toshikazu Ushijima
Journal:  Ann Surg Oncol       Date:  2010-11-02       Impact factor: 5.344

4.  Methylome sequencing in triple-negative breast cancer reveals distinct methylation clusters with prognostic value.

Authors:  Clare Stirzaker; Elena Zotenko; Jenny Z Song; Wenjia Qu; Shalima S Nair; Warwick J Locke; Andrew Stone; Nicola J Armstong; Mark D Robinson; Alexander Dobrovic; Kelly A Avery-Kiejda; Kate M Peters; Juliet D French; Sandra Stein; Darren J Korbie; Matt Trau; John F Forbes; Rodney J Scott; Melissa A Brown; Glenn D Francis; Susan J Clark
Journal:  Nat Commun       Date:  2015-02-02       Impact factor: 14.919

5.  ZNF695 methylation predicts a response of esophageal squamous cell carcinoma to definitive chemoradiotherapy.

Authors:  Takamasa Takahashi; Satoshi Yamahsita; Yasunori Matsuda; Takayoshi Kishino; Takeshi Nakajima; Ryoji Kushima; Ken Kato; Hiroyasu Igaki; Yuji Tachimori; Harushi Osugi; Masato Nagino; Toshikazu Ushijima
Journal:  J Cancer Res Clin Oncol       Date:  2014-10-02       Impact factor: 4.553

6.  Analysis of DNA methylation in bowel lavage fluid for detection of colorectal cancer.

Authors:  Taku Harada; Eiichiro Yamamoto; Hiro-o Yamano; Masanori Nojima; Reo Maruyama; Kohei Kumegawa; Masami Ashida; Kenjiro Yoshikawa; Tomoaki Kimura; Eiji Harada; Ryo Takagi; Yoshihito Tanaka; Hironori Aoki; Masayo Nishizono; Michiko Nakaoka; Akihiro Tsuyada; Takeshi Niinuma; Masahiro Kai; Kazuya Shimoda; Yasuhisa Shinomura; Tamotsu Sugai; Kohzoh Imai; Hiromu Suzuki
Journal:  Cancer Prev Res (Phila)       Date:  2014-08-19

7.  Identification of a DNA methylation marker that detects the presence of lymph node metastases of gastric cancers.

Authors:  Yasuyuki Shigematsu; Tohru Niwa; Satoshi Yamashita; Hirokazu Taniguchi; Ryoji Kushima; Hitoshi Katai; Seiji Ito; Tetsuya Tsukamoto; Masao Ichinose; Toshikazu Ushijima
Journal:  Oncol Lett       Date:  2012-05-09       Impact factor: 2.967

Review 8.  Epigenetic field cancerization in gastrointestinal cancers.

Authors:  Yoshifumi Baba; Takatsugu Ishimoto; Junji Kurashige; Masaaki Iwatsuki; Yasuo Sakamoto; Naoya Yoshida; Masayuki Watanabe; Hideo Baba
Journal:  Cancer Lett       Date:  2016-03-10       Impact factor: 8.679

9.  Epithelial progeny of estrogen-exposed breast progenitor cells display a cancer-like methylome.

Authors:  Alfred S L Cheng; Aedín C Culhane; Michael W Y Chan; Chinnambally R Venkataramu; Mathias Ehrich; Aejaz Nasir; Benjamin A T Rodriguez; Joseph Liu; Pearlly S Yan; John Quackenbush; Kenneth P Nephew; Timothy J Yeatman; Tim H-M Huang
Journal:  Cancer Res       Date:  2008-03-15       Impact factor: 12.701

10.  Pathological complete response of HER2-positive breast cancer to trastuzumab and chemotherapy can be predicted by HSD17B4 methylation.

Authors:  Satoshi Fujii; Satoshi Yamashita; Takeshi Yamaguchi; Masato Takahashi; Yasuo Hozumi; Toshikazu Ushijima; Hirofumi Mukai
Journal:  Oncotarget       Date:  2017-03-21
View more
  5 in total

1.  DNA methylation marker to estimate ovarian cancer cell fraction.

Authors:  Takahiro Ebata; Satoshi Yamashita; Hideyuki Takeshima; Hiroshi Yoshida; Yoshiko Kawata; Nao Kino; Toshiharu Yasugi; Yasuhisa Terao; Kan Yonemori; Tomoyasu Kato; Toshikazu Ushijima
Journal:  Med Oncol       Date:  2022-02-23       Impact factor: 3.064

2.  The Effects of Exercise Duration and Intensity on Breast Cancer-Related DNA Methylation: A Randomized Controlled Trial.

Authors:  Arielle S Gillman; Timothy Helmuth; Claire E Koljack; Kent E Hutchison; Wendy M Kohrt; Angela D Bryan
Journal:  Cancers (Basel)       Date:  2021-08-17       Impact factor: 6.639

3.  Combined Analysis of the Aberrant Epigenetic Alteration of Pancreatic Ductal Adenocarcinoma.

Authors:  Rui Xu; Qiuyan Xu; Guanglei Huang; Xinhai Yin; Jianguo Zhu; Yikun Peng; Jukun Song
Journal:  Biomed Res Int       Date:  2019-12-28       Impact factor: 3.411

4.  Screening and identification of Theileria annulata subtelomere-encoded variable secreted protein-950454 (SVSP454) interacting proteins from bovine B cells.

Authors:  Zhi Li; Junlong Liu; Quanying Ma; Aihong Liu; Youquan Li; Guiquan Guan; Jianxun Luo; Hong Yin
Journal:  Parasit Vectors       Date:  2021-06-11       Impact factor: 3.876

5.  Tissue-Specific Methylation Biosignatures for Monitoring Diseases: An In Silico Approach.

Authors:  Makrina Karaglani; Maria Panagopoulou; Ismini Baltsavia; Paraskevi Apalaki; Theodosis Theodosiou; Ioannis Iliopoulos; Ioannis Tsamardinos; Ekaterini Chatzaki
Journal:  Int J Mol Sci       Date:  2022-03-09       Impact factor: 5.923

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.