Literature DB >> 30149376

Pancreatic Cancer Cell Fraction Estimation in a DNA Sample.

Hiroki Ishihara1,2, Satoshi Yamashita1, Ryosuke Amano3, Kenjiro Kimura3, Kosei Hirakawa3, Takako Ueda4, Yoshiki Murakami4, Akihiro Tamori4, Kazunari Tanabe2, Norifumi Kawada4, Atsushi Hagihara4, Toshikazu Ushijima5.   

Abstract

OBJECTIVE: Pancreatic cancers are characterized by dense stroma. To estimate the degree of interference by coexisting noncancer cells in molecular analyses, we aimed to develop a DNA methylation marker that assesses a cancer cell fraction in DNA samples.
METHODS: The microarray data of 22 pancreatic cancer tissues from the The Cancer Genome Atlas database and 9 noncancer tissues were used for genome-wide screening. Thirty-one surgical tumor samples (10 intraductal papillary mucinous neoplasms [IPMNs] and 21 pancreatic cancers), 4 normal, and 26 nontumor samples were used for validation. Gene-specific methylation analysis was conducted by bisulfite pyrosequencing.
RESULTS: Genome-wide screening isolated SIM1, MIR129-2, NR1I2, and HOXB-AS4, as specifically methylated in pancreatic cancer cells. Bisulfite pyrosequencing validated that one or more of three genes (SIM1, MIR129-2, and NR1I2) were methylated in 22 (71.0%) tumor samples (8 IPMNs and 14 cancers), and all showed low levels of methylation in 26 (86.7%) normal and nontumor samples. Therefore, the three genes collectively constituted one marker for a pancreatic cancer cell fraction. The cancer cell fraction estimated by the marker was highly correlated with that estimated using the KRAS mutant allele frequency (R = 0.79).
CONCLUSION: The DNA methylation marker is useful to estimate the pancreatic cancer cell fraction in DNA samples.
© 2018 S. Karger AG, Basel.

Entities:  

Keywords:  Cancer cell fraction; DNA methylation; Epigenetics; Intraductal papillary mucinous neoplasm; Pancreatic cancer

Mesh:

Substances:

Year:  2018        PMID: 30149376     DOI: 10.1159/000491637

Source DB:  PubMed          Journal:  Oncology        ISSN: 0030-2414            Impact factor:   2.935


  4 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

Review 2.  There and Back Again: Hox Clusters Use Both DNA Strands.

Authors:  Elena L Novikova; Milana A Kulakova
Journal:  J Dev Biol       Date:  2021-07-15

Review 3.  Regulation of CAR and PXR Expression in Health and Disease.

Authors:  Martine Daujat-Chavanieu; Sabine Gerbal-Chaloin
Journal:  Cells       Date:  2020-10-31       Impact factor: 6.600

4.  An epithelial-mesenchymal transition-related long non-coding RNA signature to predict overall survival and immune microenvironment in kidney renal clear cell carcinoma.

Authors:  You-Peng Zhang; Yong-Biao Cheng; Sen Li; Ning Zhao; Zhao-Hui Zhu
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  4 in total

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