High TDP43 expression is required for TRIM16-induced inhibition of cancer cell growth and correlated with good prognosis of neuroblastoma and breast cancer patients

2016 ◽  
Vol 374 (2) ◽  
pp. 315-323 ◽  
Author(s):  
Patrick Y. Kim ◽  
Owen Tan ◽  
Bing Liu ◽  
Toby Trahair ◽  
Tao Liu ◽  
...  
2018 ◽  
Vol 19 (10) ◽  
pp. 3096 ◽  
Author(s):  
Chin-Sheng Hung ◽  
Sheng-Chao Wang ◽  
Yi-Ting Yen ◽  
Tzong-Huei Lee ◽  
Wu-Che Wen ◽  
...  

Lung and breast cancer are the leading causes of mortality in women worldwide. The discovery of molecular alterations that underlie these two cancers and corresponding drugs has contributed to precision medicine. We found that CCND2 is a common target in lung and breast cancer. Hypermethylation of the CCND2 gene was reported previously; however, no comprehensive study has investigated the clinical significance of CCND2 alterations and its applications and drug discovery. Genome-wide methylation and quantitative methylation-specific real-time polymerase chain reaction (PCR) showed CCND2 promoter hypermethylation in Taiwanese breast cancer patients. As compared with paired normal tissues and healthy individuals, CCND2 promoter hypermethylation was detected in 40.9% of breast tumors and 44.4% of plasma circulating cell-free DNA of patients. The western cohort of The Cancer Genome Atlas also demonstrated CCND2 promoter hypermethylation in female lung cancer, lung adenocarcinoma, and breast cancer patients and that CCND2 promoter hypermethylation is an independent poor prognostic factor. The cell model assay indicated that CCND2 expression inhibited cancer cell growth and migration ability. The demethylating agent antroquinonol D upregulated CCND2 expression, caused cell cycle arrest, and inhibited cancer cell growth and migration ability. In conclusion, hypermethylation of CCND2 is a potential diagnostic, prognostic marker and drug target, and it is induced by antroquinonol D.


2021 ◽  
Vol 22 (10) ◽  
pp. 5382
Author(s):  
Pei-Yi Chu ◽  
Hsing-Ju Wu ◽  
Shin-Mae Wang ◽  
Po-Ming Chen ◽  
Feng-Yao Tang ◽  
...  

(1) Background: methionine cycle is not only essential for cancer cell proliferation but is also critical for metabolic reprogramming, a cancer hallmark. Hepatic and extrahepatic tissues methionine adenosyltransferases (MATs) are products of two genes, MAT1A and MAT2A that catalyze the formation of S-adenosylmethionine (SAM), the principal biological methyl donor. Glycine N-methyltransferase (GNMT) further utilizes SAM for sarcosine formation, thus it regulates the ratio of SAM:S-adenosylhomocysteine (SAH). (2) Methods: by analyzing the TCGA/GTEx datasets available within GEPIA2, we discovered that breast cancer patients with higher MAT2A had worse survival rate (p = 0.0057). Protein expression pattern of MAT1AA, MAT2A and GNMT were investigated in the tissue microarray in our own cohort (n = 252) by immunohistochemistry. MAT2A C/N expression ratio and cell invasion activity were further investigated in a panel of breast cancer cell lines. (3) Results: GNMT and MAT1A were detected in the cytoplasm, whereas MAT2A showed both cytoplasmic and nuclear immunoreactivity. Neither GNMT nor MAT1A protein expression was associated with patient survival rate in our cohort. Kaplan–Meier survival curves showed that a higher cytoplasmic/nuclear (C/N) MAT2A protein expression ratio correlated with poor overall survival (5 year survival rate: 93.7% vs. 83.3%, C/N ratio ≥ 1.0 vs. C/N ratio < 1.0, log-rank p = 0.004). Accordingly, a MAT2A C/N expression ratio ≥ 1.0 was determined as an independent risk factor by Cox regression analysis (hazard ratio = 2.771, p = 0.018, n = 252). In vitro studies found that breast cancer cell lines with a higher MAT2A C/N ratio were more invasive. (4) Conclusions: the subcellular localization of MAT2A may affect its functions, and elevated MAT2A C/N ratio in breast cancer cells is associated with increased invasiveness. MAT2A C/N expression ratio determined by IHC staining could serve as a novel independent prognostic marker for breast cancer.


2008 ◽  
Vol 180 (5) ◽  
pp. 3158-3165 ◽  
Author(s):  
Dongqing Li ◽  
Yanmei Li ◽  
Xianglei Wu ◽  
Qiao Li ◽  
Jing Yu ◽  
...  

2011 ◽  
Vol 52 (2) ◽  
pp. 134-143 ◽  
Author(s):  
Jixia Li ◽  
Feng Zhu ◽  
Ronald A. Lubet ◽  
Antonella De Luca ◽  
Clinton Grubbs ◽  
...  

PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e49970 ◽  
Author(s):  
Kati M. Tarkkonen ◽  
Emeli M. Nilsson ◽  
Tiina E. Kähkönen ◽  
Julien H. Dey ◽  
Jari E. Heikkilä ◽  
...  

2018 ◽  
Vol 38 (11) ◽  
pp. 6217-6223
Author(s):  
HAIHONG SHI ◽  
JIN LIU ◽  
YIFAN TU ◽  
CARL E. FRETER ◽  
CHUNFA HUANG

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