Aim： To identify the serum biomarkers of prostate cancer （PCa） by protein chip and bioinformatics. Methods： Serum samples from 83 PCa patients and 95 healthy men were taken from a mass screening in Changchun, Chin...Aim： To identify the serum biomarkers of prostate cancer （PCa） by protein chip and bioinformatics. Methods： Serum samples from 83 PCa patients and 95 healthy men were taken from a mass screening in Changchun, China. Protein profiling was carried out using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry （SELDI-TOF MS）. The data of spectra were analyzed using two bioinformatics tools. Results： Eighteen serum differential proteins were identified in the PCa group compared with the control group （P 〈 0.01）. There were four proteins at the higher serum level and 14 proteins at the lower serum level in the PCa group. A decision tree classification algorithm that used an eight-protein mass pattern was developed to correctly classify the samples. A sensitivity of 92.0 % and a specificity of 96.7 % for the study group were obtained by comparing the PCa and control groups. Conclusion： We identified new serum biomarkers of PCa. SELDI-TOF MS coupled with a decision tree classification algorithm will provide a highly accurate and innovative approach for the early diagnosis of PCa. （Asian J Androl 2006 Jan; 8： 45-51）展开更多
The potential association between xenotropic murine leukaemia virus-related gammaretrovirus （XMRV） and prostate cancer （PCa） has been documented since 2006, It is important for furthering our understanding of the ...The potential association between xenotropic murine leukaemia virus-related gammaretrovirus （XMRV） and prostate cancer （PCa） has been documented since 2006, It is important for furthering our understanding of the biological mechanisms of PCa to ascertain whether this association is causal. To summarize the available information on the epidemiological and laboratory findings of the association, we conducted a literature search of the PubMed electronic database （from March 2006 to February 2011） to identify relevant published studies that examined the association between XMRV and PCa, Although several studies showed the positive association between XMRV and PCa, more recent studies did not support this conclusion, The positive findings might be due to contamination of human samples, Further studies are needed to clarify this association,展开更多
文摘Aim： To identify the serum biomarkers of prostate cancer （PCa） by protein chip and bioinformatics. Methods： Serum samples from 83 PCa patients and 95 healthy men were taken from a mass screening in Changchun, China. Protein profiling was carried out using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry （SELDI-TOF MS）. The data of spectra were analyzed using two bioinformatics tools. Results： Eighteen serum differential proteins were identified in the PCa group compared with the control group （P 〈 0.01）. There were four proteins at the higher serum level and 14 proteins at the lower serum level in the PCa group. A decision tree classification algorithm that used an eight-protein mass pattern was developed to correctly classify the samples. A sensitivity of 92.0 % and a specificity of 96.7 % for the study group were obtained by comparing the PCa and control groups. Conclusion： We identified new serum biomarkers of PCa. SELDI-TOF MS coupled with a decision tree classification algorithm will provide a highly accurate and innovative approach for the early diagnosis of PCa. （Asian J Androl 2006 Jan; 8： 45-51）
基金ACKNOWLEDGMENTS This work was funded by the National Natural Science Foundation of China （No. 30801354 and No. 30970791） and Jilin Provincial Science and Technology Department, China （grant No. 20080154）.
文摘The potential association between xenotropic murine leukaemia virus-related gammaretrovirus （XMRV） and prostate cancer （PCa） has been documented since 2006, It is important for furthering our understanding of the biological mechanisms of PCa to ascertain whether this association is causal. To summarize the available information on the epidemiological and laboratory findings of the association, we conducted a literature search of the PubMed electronic database （from March 2006 to February 2011） to identify relevant published studies that examined the association between XMRV and PCa, Although several studies showed the positive association between XMRV and PCa, more recent studies did not support this conclusion, The positive findings might be due to contamination of human samples, Further studies are needed to clarify this association,
