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| 1 | Role of β-microseminoprotein from prostate cancer initiationto recurrence: A mini-review显示文摘Medline/Pubmed articles relevant to this topic were considered using the search terms ?-microseminoprotein, MSMB, prostate secretory protein of 94 amino acids and PSP94. Full articles were retrieved when the abstract was considered relevant. In addition, other data related to this topic including our own are discussed. Summary of fi ndings-?-microseminoprotein(MSMB) is increasingly being considered as a marker for prostatecancer, as reduced levels have been associated with the disease. Here we review various aspects of this protein including its biological and physiological variants, binding proteins and immune modulation; its importance as a marker for biochemical recurrence of prostate cancer; prostate cancer related splice variants and its therapeutic utility. Two of the most important properties of MSMB are related to anticancer functions and immune modulation. Predominant expression of two(short and full-length) splice variants of MSMB has been observed from normal prostate and several other tissues. In benign prostate hyperplasia the short isoform is dominant, constituting 98% of this isoform, whereas in prostate cancer 96% constitute the fulllength isoform. The MSMB promoter single nucleotide polymorphism rs10993994 with the C allele functions as an activated cyclic adenosine monophosphate response element binding protein binding site. This C variant of rs10993994 could be responsible for the production of splice variants under variable conditions. MSMB has binding motifs to a few known proteins including immunoglobulin G and several Cysteine-rich secretory proteins family proteins. MSMB bound to these proteins is considered as immune modulating. Use of MSMB as a urinary marker for detecting aggressive prostate cancers that could resist radiation and surgical treatments, seems possible, but needs further investigation. The ratio of MSMB splice variants could also be a possible approach in understanding prostate cancers, with higher ratios indicating severe disease. | Nishi Karunasinghe Karen Bishop Pamela Murray Yuanye Xu Megan Goudie Lance Ng Shuotun Zhu Dug Yeo Han Lynnette R Ferguson Jonathan Masters Benji Benjamin Michael Holmes | 2014 | World Journal of Clinical Urology2014，3，1： | 2 |
| 2 | Chaotic time series prediction with a global model:Artificial neural network显示文摘 | Karunasinghe D S K Liong S-Y | 2006 | Journal of Hydrology2006，323，： | 1 |
| 3 | Chaotic time series pre- diction with a global model: Artificial neural network 显示文摘 | Karunasinghe D S K Liong Shie-Yui | 2006 | Journal of Hydrology2006，323，14： | 1 |
| 4 | Chaotic time series prediction with a global model: Artificial neural network显示文摘 | Karunasinghe D S K Liong S Y | 2006 | Journal of Hydrology2006，323，1234： | 1 |
| 5 | Dietarycancer and prevention using antimutagens显示文摘 | Ferguson L R Philpott M Karunasinghe N | 2004 | Toxicology2004，198，13： | 1 |
| 6 | Dietary cancer and pre- vention using antimutagens 显示文摘 | Ferguson LR Phipott M Karunasinghe N | 2004 | Toxicology2004，198，13： | 1 |
| 7 | Chaotic time series prediction with a global model:artificial neural network显示文摘 | KARUNASINGHE D S K LIONG S Y | 2006 | Journal of Hydrology2006，323，14： | 1 |
| 8 | Dietary cancer and prevention using antimutagens显示文摘 | FERGUSON L R PHILPOTT M KARUNASINGHE N | 2004 | Toxicology2004，198，1： | 1 |
| 9 | Chaotic time series prediction with global model: Artificial neural network 显示文摘 | DULAKSHI S K KARUNASINGHE LIONG S Y | 2006 | Journal of Hydrology2006，323，14： | 1 |
| 10 | Chaotic prediction with global model artificial neural network显示文摘 | KARUNASINGHE D LIONG S Y | 2006 | Journal of Hydrology2006，323，1： | 1 |
| 11 | Genetic factors in chronic inflammation: Single nucleotide polymorphisms in the STAT-JAK pathway, susceptibility to DNA damage and Crohn’s disease in a New Zealand population显示文摘 | Lynnette R. Ferguson Dug Yeo Han Alan G. Fraser Claudia Huebner Wen Jiun Lam Angharad R. Morgan He Duan Nishi Karunasinghe | 2010 | Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis2010，，1： | 1 |
| 12 | Dietary cancer and prevention using antimutangens 显示文摘 | Ferguson L R Philpott M Karunasinghe N | 2004 | Toxicology2004，198，： | 1 |
| 13 | Kiwifruit consumption reduces DNA fragility:a ran- domized controlled pilot study in volunteers显示文摘 | Rush E Ferguson L R Cumin M Thakur V Karunasinghe N &Plank L | 2006 | Nutrition Research2006，26，： | 1 |
| 14 | Chaotic time series prediction with a global model :Artificial neural network显示文摘 | DULAKSHI S K KARUNASINGHE LONG S | 2006 | Journal of Hydrology2006，323，： | 1 |
| 15 | Selenium and its' role in the maintenance of genomic stability显示文摘 | FERGUSON L R KARUNASINGHE N ZHU S | 2012 | Mutat Res - Fund Mol M2012，733，12： | 1 |
| 16 | Selenium and its' role in the maintenance of genomic stability 显示文摘 | Ferguson L R Karunasinghe N Zbu S | 2012 | Mutat Res2012，733，12： | 1 |
| 17 | Chaotic time series prediction with a global model: Artificial neural network显示文摘 | Karunasinghe D S K Liong S-Y | 2006 | Journal of Hydrology2006，323，： | 1 |
| 18 | Dietary cancer and prevention using antimutagens显示文摘 | FERGUS L R PHILPOTT M KARUNASINGHE N | 2004 | Toxicology2004，198，13： | 1 |
| 19 | Nutrigenetics, nutrigenomics, and se- lenium显示文摘 | Ferguson LR Karunasinghe N | 2011 | Front Genet2011，2，： | 1 |
| 20 | Chaotic time series predic-tion with a global model:artificial neural network显示文摘 | Karunasinghe D S K Liong Shie-Yui | 2006 | Journal of Hydrology2006，323，4： | 1 |
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