Samuel Mok

Dr. Samuel Mok

Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
orcid

Research Focus & Metrics

Academic Career Length

41Years (1986-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 March 2016 in Nature Communications
Verified
Journal Article
Open access
CYChi Lam Au Yeung
Chi Lam Au Yeung
NCNgai-Na Co
Ngai-Na Co
TTTetsushi Tsuruga
Tetsushi Tsuruga
TYTsz-Lun Yeung
Tsz-Lun Yeung
SKSuet Ying Kwan
Suet Ying Kwan
Samuel MokSamuel Mok
Samuel Mok
Advanced ovarian cancer usually spreads to the visceral adipose tissue of the omentum. However, the omental stromal cell-derived molecular determinants that modulate ovarian cancer growth have not been characterized. Here, using next-generation sequencing technology, we identify significantly higher levels of microRNA-21 (miR21) isomiRNAs in exosomes and tissue lysates isolated from cancer-associated adipocytes (CAAs) and fibroblasts (CAFs) than in those from ovarian cancer cells. Functional studies reveal that miR21 is transferred from CAAs or CAFs to the cancer cells, where it suppresses ovarian cancer apoptosis and confers chemoresistance by binding to its direct novel target, APAF1. These data suggest that the malignant phenotype of metastatic ovarian cancer cells can be altered by miR21 delivered by exosomes derived from neighbouring stromal cells in the omental tumour microenvironment, and that inhibiting the transfer of stromal-derived miR21 is an alternative modality in the treatment of metastatic and recurrent ovarian cancer.

15 March 2005 in Cancer Research
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Journal Article
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Ronny DrapkinRonny Drapkin
Ronny Drapkin
HHHans Henning von Horsten
Hans Henning von Horsten
YLYafang Lin
Yafang Lin
Samuel MokSamuel Mok
Samuel Mok
CCChristopher P. Crum
Christopher P. Crum
JHJonathan L. Hecht
Jonathan L. Hecht
Among the genes most commonly identified in gene expression profiles of epithelial ovarian carcinomas (EOC) is the gene for human epididymis protein 4 (HE4). To ascertain its clinical utility, we did a comprehensive assessment of HE4 protein expression in benign and malignant ovarian and nonovarian tissues by immunohistochemistry. In comparison with normal surface epithelium, which does not express HE4, we found that cortical inclusion cysts lined by metaplastic Mullerian epithelium abundantly express the protein. Its expression in tumors was restricted to certain histologic subtype: 93% of serous and 100% of endometrioid EOCs expressed HE4, whereas only 50% and 0% of clear cell carcinomas and mucinous tumors, respectively, were positive. Tissue microarrays revealed that the majority of nonovarian carcinomas do not express HE4, consistent with our observation that HE4 protein expression is highly restricted in normal tissue to the reproductive tracts and respiratory epithelium. HE4 is predicted to encode a secreted protein. Using reverse transcription-PCR, we identified ovarian cancer cell lines that endogenously overexpress HE4. Cultured medium from these cells revealed a secreted form of HE4 that is N-glycosylated. This observation is consistent with the recent report that HE4 circulates in the bloodstream of patients with EOC. Therefore, HE4 is a secreted glycoprotein that is overexpressed by serous and endometrioid EOCs. Its expression in cortical inclusion cysts suggests that formation of Mullerian epithelium is a prerequisite step in the development of some types of EOCs.

7 April 2003 in Nature Medicine
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TTToshiyasu Taniguchi
Toshiyasu Taniguchi
MTMarc Tischkowitz
Marc Tischkowitz
NANajim Ameziane
Najim Ameziane
SHShirley V. Hodgson
Shirley V. Hodgson
CMChristopher G. Mathew
Christopher G. Mathew
ADAlan D. D'Andrea
Alan D. D'Andrea

11 May 2015 in Oncogene
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Journal Article
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FGF Guo
F Guo
YWY Wang
Y Wang
JLJ Liu
J Liu
Samuel MokSamuel Mok
Samuel Mok
FXF Xue
F Xue
WZW Zhang
W Zhang

1 November 2016 in Cell Metabolism
Verified
Journal Article
Closed access
LYLifeng Yang
Lifeng Yang
Abhinav AchrejaAbhinav Achreja
Abhinav Achreja
TYTsz-Lun Yeung
Tsz-Lun Yeung
LMLingegowda S. Mangala
Lingegowda S. Mangala
DJDahai Jiang
Dahai Jiang
DNDeepak Nagrath
Deepak Nagrath

3 April 2002 in JAMA
Verified
Journal Article
Open access
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Jae-Hoon KimJae-Hoon Kim
Jae-Hoon Kim
SSSteven J. Skates
Steven J. Skates
TUToshimitsu Uede
Toshimitsu Uede
KWKwong-Kwok Wong
Kwong-Kwok Wong
JSJohn O. Schorge
John O. Schorge
Samuel MokSamuel Mok
Samuel Mok
Ovarian cancer ranks as the fifth leading cause of death from cancer and has the highest mortality rate among the gynecologic malignancies in the United States.1 Every year approximately 25 000 ovarian cancer cases are newly diagnosed and approximately 15 000 deaths occur secondary to the malignancy.2 This high case-fatality ratio reflects the fact that most ovarian cancer cases are detected at stage III or IV, at which the 5-year survival rate is below 30% compared with 95% with stage I.3 To improve survival, it would be desirable to develop tumor markers that could be used to detect the early stages of the disease.