Hepatocellular carcinoma(HCC) is the fifth most common cancer and the third cause of cancer-related death worldwide;meanwhile,it is also one of the fastest growing malignancies.The causes of HCC are multiple;HBV is the most important cause in China,with about 25%-30% of HBV infection patients finally develop hepatic cirrhosis and liver cancer.At present,large scale epidemiological studies revealed that the metabolic syndrome(MS) was closely related to liver cancer,and it even served as an independent risk factor for the occurrence and progression of liver cancer.Non-alcoholic fatty liver disease is a metabolic syndrome clinically manifested in the liver;recently it has been indicated to be closely related with HCC development and progression.This paper reviews the recent researches on metabolic syndrome and liver cancer,so as to provide literature for preventive and therapeutic studies on non-virus-related liver cancer.

Objective To investigate the clinical manifestations,pathological features,treatment and prognosis of nongesta-tional choriocarcinomas.Methods The clinicopathological data in 4 cases of nongestational choriocarcinoma were retrospectively analyzed and the relevant literatures were reviewed.Results All 4 patients had no confirmed diagnosis at first visit to hospital.All patients received the operative therapy and postoperative bleomycin,etoposide and cis-platinum (BEP)regimen chemotherapy.The followed up lasted for 3-32 months.One case died at postoperative 26 months due to pulmonary metastasis;one case was loss of follow up;two cases had relatively favorable condition.Conclusion Nongestational choriocarcinoma is a rare and highly invasive trophoblastic neoplasm,and is prone for early distant metastasis.The treatment is recommended to adopt operation combined with postoperative combined chemotherapy of multiple drugs.

Objective To approach the feasibility of identifying the specific biomarker of ovarian cancer by SELDI TOF mass spectrometry. Methods The relative contents of serum protein of both 24 the patients with ovarian cancer and 56 cases of healthy people were tested by IMAC3 chip and proteinchip reader (CipherGen Inc., VS). Results On the M/Z values ranged from 4000Da to 10000Da, there were six kinds of protein contents in the serum of the were obviously different between the two groups. Among them the serum protein of M/Z value 4472Da may be regarded as a specific biomarker of ovarian cancer. In the learning mode, all the 24 patients and 56 control people were diagnosed and distinguished out correctly, while in the test mode, 23 patients were correctly diagnosed and 56 control people were distinguished out, the total accuracy was 98 75%(79/80), and the sensitivity and specificity were 95 8%(23/24) and 100%(56/56), respectively. Conclusion Ovarian cancer can be quickly and correctly diagnosed by this method with high sensitivity and specificity. That will be widely used in clinical application

Objective To approach the significance of serum protein fingerprinting on the identification of different courses of acute myocardial infarction. Methods For 153 patients of acute myocardial infarction, including 45 cases of just admitted patients, 12 cases of 3h admitted patients, 22 cases of 6h admitted patients, 24 cases of 9h admitted patients, 24 cases of 12h admitted patients, 16 cases of 24h admitted patients and 10 cases of 48h admitted patients. The relative contents of serum proteins were detected by IMAC3 chip and proteinchip reader (CipherGen Inc., VS). Results On the M/Z values ranged from 4KDa to 12KDa, ten protein contents were obviously different between the different courses of acute myocardial infarction. All the patients in different courses were diagnosed correctly, the accuracy was 100%(153/153). Both sensitivity and specificity were also 100% in learning mode. Conclusion Different courses of acute myocardial infarction patients can be quickly and correctly diagnosed by this method with high sensitivity and specificity. That will be widely used in clinical application

Objective To establish a serum protein fingerprinting technique with a pattern matching algorithm to distinguish Dukes A stage from colorectal cancer of Dukes B,C,D stage. Methods Serum samples were collected from both reserved group and test group, each of the groups comprised 10 patients of colorectal cancer in Dukes A stage and 68 patients in Dukes B,C,D stage. The sera of the reserved group was combined with the surface of the IMAC3 proteinchip. Then the data of SELDI TOF MS was read and analyzed by BioMarker Wizard software and BioMarker Pattern software to get a classificatory pedigree tree, which is a standard configuration that can distinguish the sera of colorectal cancer patients of Dukes A from colorectal cancer patients of Dukes B,C,D, and the standard was confirmed by double blind test in the test group. Results At the M/Z values of 8 320 Da, 8 604Da, 8 867Da and 15 872Da, the protein contents in reserved group are obviously different between the two classes of patients. The accuracy of classification was 97 4%(76/78), corresponding sensitivity was 100%(10/10) and corresponding specificity was 97 1%(66/68). By double blind examination in test group, the corresponding accuracy was 100%(10/10), the corresponding sensitivity was 94 1%(64/68) and the corresponding specificity was 94 1%(64/68). Conclusion Colorectal cancer of Dukes A can be quickly and exactly diagnosed by this method with high sensitivity and specificity. That will be widely used in clinical application

Objective To search for the biomarker used to determine gastric cancer by the application of protein mass spectrometry analysis. Methods The relative contents of serum proteins were detected of 38 patients with gastric cancer and 82 healthy people by IMAC3 (CipherGen Inc.) chip and proteinchip. Results At the M/Z values range from 1 723Da to 14 048Da, 18 kind of protein contents are obviously different between the two groups. In the learning mode, all the 120 testers were correctly distinguished, both the sensitivity and specificity reached to 100%. While in the test mode, 31 patients and 81 control people were correctly distinguished, the accuracy were 81 6%(31/38) and 98 8%(81/82), respectively. Conclusion Gastric cancer can be quickly and exactly diagnosed by this method with high sensitivity and specificity. That will be widely used in clinical application

Objective To explore the serum proteomics characteristics of early carcerization of post-hepatitic cirrhosis.MethodsThe serum protein profiles were detected of 62 patients with post-hepatitic cirrhosis and 100 patients with hepatic carcinoma in Ⅰ-Ⅱ stage (T1-2N0M0) and cirrhosis by surface-enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDI-TOF-MS) IMAC30-Cu2+ ProteinChip array (Ciphergen Biosystems Inc.,USA),the distinct proteins were analyzed and a classification tree model was established by using Biomarker Patterns software.The diagnostic efficacy of the model was blindly tested using the serum protein from both groups.ResultsThe serum protein profiles of post-hepatitic cirrhosis and hepatic carcinoma complicating with cirrhosis were analyzed and a classification tree model was established including 4 distinct proteins with different M/Z.In the training mode,the accuracy was 99.4% (161/162) on differential diagnosis to differentiate post-hepatitic cirrhosis and hepatic carcinoma complicating with cirrhosis,the sensitivity and specificity were 99.0% (99/100) and 100.0% (62/62),respectively,on the diagnosis of hepatic carcinoma complicating with cirrhosis.In the testing mode,the accuracy of differential diagnosis was 94.4% (153/162),the sensitivity and specificity were 95.0% (95/100) and 93.5% (58/62) on the diagnosis of hepatic carcinoma complicating with cirrhosis.ConclusionSELDI-TOF-MS ProteinChip technique is of convenient and rapid,and with high sensitivity and specificity on the diagnosis of early carcerization of post-hepatitic cirrhosis.

Objective To search for the specific biomarkers associated with local lymphatic metastasis of colorectal cancer in serum.Methods The serum protein profile of colorectal cancer patients was determined by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS),and the peak values of proteins were identified with the matched software,and then clustered to construct the classification tree model.Seventy colorectal cancer patients with local lymphatic metastasis and 75 patients in matched age and gender without local lymphatic metastasis were assigned as a training set to construct the classification tree model,and 35 colorectal cancer patients with local lymphatic metastasis and 30 patients in matched age and gender without local lymphatic metastasis were assigned as test set to make the independent sample double-blind test.Results Forty-six distinct proteins were identified from the two groups,and the classification tree model formed by 5 proteins (M/Z:3104,3781,5867,7970 and 9290) could be used to identify the two groups with a sensitivity of 94.3% (66/70) and a specificity of 100.0% (75/75).The double-blind test challenged the model with a sensitivity of 91.4% (32/35),a specificity of 96.7% (29/30),and a positive predictive value of 97.0% (32/33),respectively.ConclusionThe constructed classification tree model may distinguish colorectal cancer patients with or without local lymphatic metastasis correctly,and show a great potential for preoperatively screening the colorectal cancer patients with or without local lymphatic metastasis.

Objective To explore and determine the biologic markers for the diagnosis of lung cancer by comparison of proteomics among patients with lung cancer,those with benign lung tumor and healthy people.Methods The serum proteomics patterns of 89 cases of lung cancer,64 cases of benign lung tumor and 68 healthy subjects were read by surface enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDI-TOF-MS) to screen significant differential proteins,and to develop a classification tree model for the diagnosis of lung cancer.Thirty cases of lung cancer,30 cases of benign lung tumor and 30 healthy subjects were randomly selected at the same period and assigned as test groups for double-blind verification of the model.Results Thirty-nine differential proteins were identified from the three groups,and the classification tree model formed by 17 proteins (M/Z:4485,5252,5807,5908,5969,6113,6625,8946,8998,9137,9183,9298,9498,13878,15128,15867 and 16081) could be used to identify lung cancer,benign lung tumor and healthy subjects with an accuracy of 98.2% (217/221),sensitivity of 98.9% (88/89) and specificity of 97.7% (129/132),respectively.The double-blind test challenged the model with a sensitivity of 90.0% (27/30) and specificity of 93.3% (56/60).Conclusion The classification tree model constructed by SELDI-TOF-MS possesses high sensitivity and specificity,and it may be used for rapid diagnosis of lung cancer.

Objective To study the ameliorative effects of pseudoginsenoside GQ (PGQ) on electrocardiogram changes in rats with acute myocardial ischemia induced by isoproterenol (ISO). Methods 50 Wistar rats were divided into five groups (n=10) randomly. Group I : i. v. 0.9% sodium chloride water liquor; Group II : i. v. verapamil hydrochloride of 0. 2 mg ? kg-1 ; Group III : i. v. 3. 0 mg ? kg-1 of PGQ; Group IV : i. v. 6. 0 mg ? kg-1 of PGQ; Group V : i. v. 12. 0 mg ? kg-1 of PGQ. Myocardial ischemia was induced by intravenous injection of ISO (2.0 mg ? kg-1). ST-segment changes in the lead II , precordial in lead V1 and precordial in lead V2 were examined. Results In lead II , lead precordial V 1 and lead precordial V 2 , ST-segment elevation of three PGQ groups were not obvious at every time point, the extents of ST-segment elevation were lower than those in sodium chloride water liquor group (P