Hypermethylation of the TGF-β target, ABCA1 is associated with poor prognosis in ovarian cancer patients Article Swipe
Jian‐Liang Chou
,
Rui Huang
,
Jacqueline Shay
,
Lin‐Yu Chen
,
Sheng-Jie Lin
,
Pearlly S. Yan
,
Wei‐Ting Chao
,
Yi-Hui Lai
,
Yen-Ling Lai
,
Tai‐Kuang Chao
,
Cheng-I Lee
,
Chien-Kuo Tai
,
Shu-Fen Wu
,
Kenneth P. Nephew
,
Tim H-M. Huang
,
Hung-Cheng Lai
,
Michael W.Y. Chan
·
YOU?
·
· 2015
· Open Access
·
YOU?
·
· 2015
· Open Access
·
Background \n \nThe dysregulation of transforming growth factor-β (TGF-β) signaling plays a crucial role in ovarian carcinogenesis and in maintaining cancer stem cell properties. Classified as a member of the ATP-binding cassette (ABC) family, ABCA1 was previously identified by methylated DNA immunoprecipitation microarray (mDIP-Chip) to be methylated in ovarian cancer cell lines, A2780 and CP70. By microarray, it was also found to be upregulated in immortalized ovarian surface epithelial (IOSE) cells following TGF-β treatment. Thus, we hypothesized that ABCA1 may be involved in ovarian cancer and its initiation. \n \nResults \n \nWe first compared the expression level of ABCA1 in IOSE cells and a panel of ovarian cancer cell lines and found that ABCA1 was expressed in HeyC2, SKOV3, MCP3, and MCP2 ovarian cancer cell lines but downregulated in A2780 and CP70 ovarian cancer cell lines. The reduced expression of ABCA1 in A2780 and CP70 cells was associated with promoter hypermethylation, as demonstrated by bisulfite pyro-sequencing. We also found that knockdown of ABCA1 increased the cholesterol level and promoted cell growth in vitro and in vivo. Further analysis of ABCA1 methylation in 76 ovarian cancer patient samples demonstrated that patients with higher ABCA1 methylation are associated with high stage (P = 0.0131) and grade (P = 0.0137). Kaplan-Meier analysis also found that patients with higher levels of methylation of ABCA1 have shorter overall survival (P = 0.019). Furthermore, tissue microarray using 55 ovarian cancer patient samples revealed that patients with a lower level of ABCA1 expression are associated with shorter progress-free survival (P = 0.038). \n \nConclusions \n \nABCA1 may be a tumor suppressor and is hypermethylated in a subset of ovarian cancer patients. Hypermethylation of ABCA1 is associated with poor prognosis in these patients.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://hdl.handle.net/1805/6561
- OA Status
- green
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2600584349
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2600584349Canonical identifier for this work in OpenAlex
- Title
-
Hypermethylation of the TGF-β target, ABCA1 is associated with poor prognosis in ovarian cancer patientsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-01-01Full publication date if available
- Authors
-
Jian‐Liang Chou, Rui Huang, Jacqueline Shay, Lin‐Yu Chen, Sheng-Jie Lin, Pearlly S. Yan, Wei‐Ting Chao, Yi-Hui Lai, Yen-Ling Lai, Tai‐Kuang Chao, Cheng-I Lee, Chien-Kuo Tai, Shu-Fen Wu, Kenneth P. Nephew, Tim H-M. Huang, Hung-Cheng Lai, Michael W.Y. ChanList of authors in order
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https://hdl.handle.net/1805/6561Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://hdl.handle.net/1805/6561Direct OA link when available
- Concepts
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Ovarian cancer, Cancer research, DNA methylation, Carcinogenesis, Biology, Cancer, Tissue microarray, Gene knockdown, Oncology, Medicine, Cell culture, Internal medicine, Gene expression, Genetics, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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20Other works algorithmically related by OpenAlex
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| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.3264294 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |