Objective To evaluate the clinical application of VAMTS in lung cancer patients.Meth- ods Between May 2004 and June 2005,30 patients with lung cancer applied VAMTS.The minimalthoracto- my from 8 to 10 cm was made at fourth or fifth intercostal space and lobectomy was undergone for convertion- al or dedicated endoscopic instruments.Some mediastinum lymphnode(MLN)resection were performed.Re- suits Operative time from 50 to 210 minutes and average 123 minutes.The intraoperative blood loss is less, and without blood transfusion.The average drawing duct time is 3.9 days.No death caused by operation and postoperative syndromes.Conclusion VAMTS wounds much less,operative scale lumination is better,opera- tive time shorter,blood loss less,and recover more quickly.The hospitalization time is shorter.The VAMTS with MLNR is regarded as an implement of lung cancer remedy,fits to stageⅠ-Ⅱ,diameter

OBJECTIVETo investigate the expression and significance of Clusterin in normal prostate, benign prostate hyperplasia (BPH) and prostate cancer.

METHODSClusterin expression in samples of 12 normal prostate, 15 BPH, and 56 prostate cancer were studied by immunohistochemical stain.

RESULTSOf 83 cases, 67 are positive or weak positive (81%). The rate of positive or weak positive for normal prostate, BPH and prostate cancer was 17% (2/12), 73% (11/15), and 96% (54/56) respectively. The expression level of Clusterin in prostate cancer was much higher than in normal prostate (t = 8.82, P < 0.01). BPH (t = 7.63, P < 0.01) was related positively with pathological grade (r = 0.649, P < 0.01) and stage (r = 0.609, P < 0.01) of prostate cancer.

CONCLUSIONClusterin may play an important role in the biological characteristics of prostate cancer by the anti-apoptosis pathway.

Apoptosis ; Clusterin ; metabolism ; physiology ; Female ; Humans ; Immunohistochemistry ; Male ; Prostate ; metabolism ; Prostatic Hyperplasia ; metabolism ; Prostatic Neoplasms ; metabolism ; pathology ; physiopathology

BACKGROUNDThe change of anaerobic exercise abilities during and after a high-altitude expedition or hypoxic exposure is not well studied. To evaluate the effects of an extreme-altitude expedition on anaerobic performance, the 10-second supramaximal test and endocrine hormones were evaluated before and after an expedition to Peak Lenin.

METHODSFour subjects (3 male and 1 female, age (30.5 +/- 16.5) years) were recruited into the study. Three sets of tests were performed, including a basic test at sea level and 20 days before first arrival at the base camp (3600 m), a middle test done at day after returning from the summit to the base camp and the post test at the 10th day after return to the sea level. Both the supramaximal test, performed by a cycle ergometer, and body composition, performed by bioelectrical impedance analysis, were completed before the basic test and post test. The endocrine hormones including cortisol, growth hormone, testosterone, noradrenaline, adrenaline, dopamine, glucagon and beta-endorphin were measured at all tests.

RESULTSComparing the conditions before and after the expedition, the body measurement parameters were decreased after the expedition, i.e., body weight (-4.22%, P < 0.05), fat-free mass (-2.09%, P < 0.01) and body fat (-8.95%, P = 0.172). The peak power relative/body weight ratio (PP/BW) was similar ((9.70 +/- 1.97) vs (9.11 +/- 1.80) W/kg, P = 0.093), while mean power/body weight ratio (MP/BW) was reduced significantly after the expedition ((9.14 +/- 1.77) vs (8.33 +/- 1.74) W/kg, P < 0.05). Peak power/fat-free mass (PP/FFM), mean power/fat-free mass (MP/FFM) and fatigue index (FI) were significantly lower after the expedition (PP/FFM: (11.95 +/- 1.71) vs (10.99 +/- 1.59) W/kg, P < 0.05; MP/FFM: (11.26 +/- 1.50) vs (10.04 +/- 1.55) W/kg, P < 0.005; FI (85.55 +/- 4.17)% vs (77.25 +/- 4.40)%, P < 0.05). Hormone assays showed a significant increase of noradrenaline (basic vs middle, P < 0.05) as well as decrease of adrenaline (P < 0.05). Meanwhile, a trend towards an increase in dopamine (basic vs middle) and a decrease of beta-endorphin (basic vs post) were also noted.

CONCLUSIONSThese results suggested that an expedition to an extreme altitude may have negative effects on anaerobic performance. It showed that a significant increase of noradrenaline (basic vs middle) as well as decrease of adrenaline after the expedition to Peak Lenin had occurred. The real physiological significance needs to be further investigated.

Adaptation, Physiological ; physiology ; Adolescent ; Adult ; Altitude ; Anaerobic Threshold ; physiology ; Dopamine ; blood ; Epinephrine ; blood ; Exercise Test ; Female ; Glucagon ; blood ; Growth Hormone ; blood ; Humans ; Hydrocortisone ; blood ; Male ; Middle Aged ; Norepinephrine ; blood ; Testosterone ; blood ; Young Adult ; beta-Endorphin ; blood

Background/Aims:  Rituximab is known to be associated with high hepatitis B virus (HBV) reactivation rate in patients with resolved HBV infection and hematologic malignancy. However, data regarding HBV reactivation (HBVr) in rheumatic patients receiving rituximab is limited. To assess the HBVr rate in hepatitis B surface antigen (HBsAg)-negative patients receiving rituximab for autoimmune diseases in a large real-world cohort. Methods:  From March 2006 to December 2019, 900 patients with negative HBsAg receiving at least one cycle of rituximab for autoimmune diseases in a tertiary medical center in Taiwan were retrospectively reviewed. Clinical outcome and factors associated with HBVr were analyzed. Results: After a median follow-up period of 3.3 years, 21 patients developed HBVr, among whom 17 patients were positive for hepatitis B core antibody (anti-HBc) and four were negative. Thirteen patients had clinical hepatitis flare, while eight patients had HBsAg seroreversion without hepatitis. Old age, anti-HBc positivity, undetectable serum hepatitis B surface antibody level at rituximab initiation and a higher average rituximab dose were associated with a higher HBVr rate. There was no significant difference in the HBVr risk between rheumatoid arthritis and other autoimmune diseases. Among anti-HBc-negative patients, subjects without HBV vaccination at birth had an increased risk of HBVr (4/368, 1.1%) compared with those who received vaccination (0/126, 0%). Conclusions In HBV endemic areas where occult HBV is prevalent, anti-HBc-negative patients, may still be at risk for HBVr after rituximab exposure. HBVr may still be considered in HBsAgnegative patients developing abnormal liver function after rituximab exposure, even in patients with negative anti-HBc.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.