<strong>Objective:</strong> To investigate the value of the number of circulating tumor cells (CTC) in peripheral blood in the prognosis and coagulation-related indicators of patients with renal cancer. &l...<strong>Objective:</strong> To investigate the value of the number of circulating tumor cells (CTC) in peripheral blood in the prognosis and coagulation-related indicators of patients with renal cancer. <strong>Methods:</strong> 65 patients with renal cell carcinoma (RCC) confirmed pathologically were divided into CTC positive group and CTC negative group according to the CTC count (5 pcs/3.5 ml). Compare the age, gender, tumor location, TNM (clinical stage), pathological grade, tissue type, lymph node metastasis, distant metastasis, prognosis and prothrombin time (PT), fibrinogen (FIB), partial coagulation of the two groups of patients The correlation between the results of zymogen time (APTT) and D-dimer (DD) and the number of CTC. <strong>Results:</strong> There were significant differences in TNM, lymph node metastasis, and distant metastasis between the two groups (P < 0.05). The number of CTC in patients was correlated with FIB and D-D levels (P < 0.05). <strong>Conclusion:</strong> The number of CTC in patients with renal cell carcinoma is correlated with some clinical phenotypes (TNM, lymph node metastasis, distant metastasis) and some coagulation indexes (FIB, D-D), and can jointly predict the prognosis of renal cancer.展开更多
BACKGROUND The incidence of pancreatic neuroendocrine tumors (PNETs) is now increasing rapidly. The tumor grade of PNETs significantly affects the treatment strategy and prognosis. However, there is still no effective...BACKGROUND The incidence of pancreatic neuroendocrine tumors (PNETs) is now increasing rapidly. The tumor grade of PNETs significantly affects the treatment strategy and prognosis. However, there is still no effective way to non-invasively classify PNET grades. Machine learning (ML) algorithms have shown potential in improving the prediction accuracy using comprehensive data. AIM To provide a ML approach to predict PNET tumor grade using clinical data. METHODS The clinical data of histologically confirmed PNET cases between 2012 and 2018 were collected. A method of minimum P for the Chi-square test was used to divide the continuous variables into binary variables. The continuous variables were transformed into binary variables according to the cutoff value, while the P value was minimum. Four classical supervised ML models, including logistic regression, support vector machine (SVM), linear discriminant analysis (LDA) and multi-layer perceptron (MLP) were trained by clinical data, and the models were labeled with the pathological tumor grade of each PNET patient. The performance of each model, including the weight of the different parameters, were evaluated. RESULTS In total, 91 PNET cases were included in this study, in which 32 were G1, 48 were G2 and 11 were G3. The results showed that there were significant differences among the clinical parameters of patients with different grades. Patients with higher grades tended to have higher values of total bilirubin, alpha fetoprotein, carcinoembryonic antigen, carbohydrate antigen 19-9 and carbohydrate antigen 72-4. Among the models we used, LDA performed best in predicting the PNET tumor grade. Meanwhile, MLP had the highest recall rate for G3 cases. All of the models stabilized when the sample size was over 70 percent of the total, except for SVM. Different parameters varied in affecting the outcomes of the models. Overall, alanine transaminase, total bilirubin, carcinoembryonic antigen, carbohydrate antigen 19-9 and carbohydrate antigen 72-4 affected the outcome greater than other parameters. CONCLUSION ML could be a simple and effective method in non-invasively predicting PNET grades by using the routine data obtained from the results of biochemical and tumor markers.展开更多
BACKGROUND Identifying predictors of therapeutic response is the cornerstone of personalized medicine.AIM To identify predictors of long-term mucosal healing(MH) in patients with Crohn's disease(CD) treated with t...BACKGROUND Identifying predictors of therapeutic response is the cornerstone of personalized medicine.AIM To identify predictors of long-term mucosal healing(MH) in patients with Crohn's disease(CD) treated with tumor necrosis factor α(TNF-α) inhibitors.METHODS Prospective single center study. Consecutive patients with clinically active CD requiring treatment with a TNF-α inhibitor were included. A baseline segmental CD Endoscopic Index of Severity(CDEIS) ≥ 10 in at least one segment or the presence of ulcerations were required for inclusion. Clinical, biological and endoscopic data were obtained at baseline, weeks 14 and 46. Endoscopic response(ER) was defined as a decrease ≥ 50% from baseline CDEIS and MH as partial CDEIS ≤ 5 in all segments.RESULTS Of 62 patients were included. At baseline, median CD Activity Index and CDEIS were 201 and 6.7, respectively with a significant reduction after one year of treatment(53 and 3.0 respectively, P < 0.001). At week 14, 56% of patients achieved ER and 34% MH. At week 46, the corresponding percentages were 52%and 44%. Baseline disease characteristics or biomarkers did not predict MH. A decrease from baseline CDEIS at week 14 of at least 80% was the best predictor of MH at week 46(59% sensitivity and 91% specificity; area under the curve =0.778).CONCLUSION Clinical and biomarker data are not useful predictors of response to TNF-αinhibitors in CD, whereas ER to induction therapy, defined as 80% reduction in global CDEIS, is a robust predictor of long-term MH. Achievement of this endoscopic endpoint may be considered as a therapeutic target for anti-TNF-αtherapy.展开更多
Laparoscopic surgery has become increasingly popular in the management of gastric gastrointestinal stromal tumors (GISTs) in recent years. One hundred and forty-five patients underwent curative resections of primary g...Laparoscopic surgery has become increasingly popular in the management of gastric gastrointestinal stromal tumors (GISTs) in recent years. One hundred and forty-five patients underwent curative resections of primary gastric stromal tumors between September 2002 and March 2012 were assigned to either an open surgery group (n = 99) or a laparoscopic surgery group (n = 46). In the open surgery group, there was a significantly higher number of samples with a mitotic index ≥ 10 (16.1% vs. 0%), more tumors located in the gastric cardia (13.1% vs. 6.5%), greater operative blood loss (80 mL vs. 50 mL) and a longer postoperative hospital stay (10 days vs. 6 days) than in the laparoscopic group. The surgical morbidity and mortality were 6.1% and 0% in the open group, whereas no complication or mortality in the laparoscopic group. Ten patients in the open group had tumor recurrences and no recurrence in the laparoscopic group. Multivariate analysis showed that tumor size and mitotic index were two independent risk factors associated with tumor recurrence. The 3-year disease-free survival rates and 5-year overall survival rates were similar between the two groups. The laparoscopic approach is a safe alternative procedure for gastric GISTs.展开更多
AIM: To evaluate the efficacy of endoscopic ultrasonography-guided fine needle aspiration(EUS-FNA) for grading pancreatic neuroendocrine tumors(PNETs).METHODS: A total of 22 patients were diagnosed with PNET by EUS-FN...AIM: To evaluate the efficacy of endoscopic ultrasonography-guided fine needle aspiration(EUS-FNA) for grading pancreatic neuroendocrine tumors(PNETs).METHODS: A total of 22 patients were diagnosed with PNET by EUS-FNA between October 2001 and December 2013 at Fukushima Medical University Hospital.Among these cases,we targeted 10 PNET patients who were evaluated according to the World Health Organization(WHO) 2010 classification.Surgery was performed in eight patients,and chemotherapy was performed in two patients due to multiple liver metastases.Specimens obtained by EUS-FNA were first stained with hematoxylin and eosin and then stained with chromogranin,synaptophysin,CD56,and Ki-67.The specimens were graded by the Ki-67 index according to the WHO 2010 classification.Specimens obtained by surgery were graded by the Ki-67 indexand mitotic count(WHO 2010 classification).For the eight specimens obtained by EUS-FNA,the Ki-67 index results were compared with those obtained by surgery.In the two cases treated with chemotherapy,the effects and prognoses were evaluated.RESULTS: The sampling rate for histological diagnosis by EUS-FNA was 100%.No adverse effects were observed.The concordance rate between specimens obtained by EUS-FNA and surgery was 87.5%(7/8).Fo r t h e t w o c a s e s t re a t e d w i t h c h e m o t h e ra p y,case 1 received somatostatin analog therapy and transcatheter arterial infusion(TAI) targeting multiple liver metastases.Subsequent treatment consisted of everolimus.During chemotherapy,the primary tumor remained unconfirmed,although the multiple liver metastases diminished dramatically.Case 2 was classified as neuroendocrine carcinoma(NEC) according to the Ki-67 index of a specimen obtained by EUS-FNA; therefore,cisplatin and irinotecan therapy was started.However,severe adverse effects,including renal failure and diarrhea,were observed,and the therapy regimen was changed to cisplatin and etoposide.TAI targeting multiple liver metastases was performed.Although the liver metastases diminished,the primary tumor remained unconfirmed.These chemotherapy regimens had immediate effects for both unresectable neuroendocrine tumor(NET) and NEC cases.These two subjects are still alive.CONCLUSION: EUS-FNA was effective for PNET diagnosis and Ki-67 index grading for WHO 2010 classification,enabling informed decisions on unresectable PNET treatment by identifying NET or NEC.展开更多
文摘<strong>Objective:</strong> To investigate the value of the number of circulating tumor cells (CTC) in peripheral blood in the prognosis and coagulation-related indicators of patients with renal cancer. <strong>Methods:</strong> 65 patients with renal cell carcinoma (RCC) confirmed pathologically were divided into CTC positive group and CTC negative group according to the CTC count (5 pcs/3.5 ml). Compare the age, gender, tumor location, TNM (clinical stage), pathological grade, tissue type, lymph node metastasis, distant metastasis, prognosis and prothrombin time (PT), fibrinogen (FIB), partial coagulation of the two groups of patients The correlation between the results of zymogen time (APTT) and D-dimer (DD) and the number of CTC. <strong>Results:</strong> There were significant differences in TNM, lymph node metastasis, and distant metastasis between the two groups (P < 0.05). The number of CTC in patients was correlated with FIB and D-D levels (P < 0.05). <strong>Conclusion:</strong> The number of CTC in patients with renal cell carcinoma is correlated with some clinical phenotypes (TNM, lymph node metastasis, distant metastasis) and some coagulation indexes (FIB, D-D), and can jointly predict the prognosis of renal cancer.
基金Supported by “Miaopu”Innovation Foundation of the Chinese PLA General Hospital,No.17KMM07
文摘BACKGROUND The incidence of pancreatic neuroendocrine tumors (PNETs) is now increasing rapidly. The tumor grade of PNETs significantly affects the treatment strategy and prognosis. However, there is still no effective way to non-invasively classify PNET grades. Machine learning (ML) algorithms have shown potential in improving the prediction accuracy using comprehensive data. AIM To provide a ML approach to predict PNET tumor grade using clinical data. METHODS The clinical data of histologically confirmed PNET cases between 2012 and 2018 were collected. A method of minimum P for the Chi-square test was used to divide the continuous variables into binary variables. The continuous variables were transformed into binary variables according to the cutoff value, while the P value was minimum. Four classical supervised ML models, including logistic regression, support vector machine (SVM), linear discriminant analysis (LDA) and multi-layer perceptron (MLP) were trained by clinical data, and the models were labeled with the pathological tumor grade of each PNET patient. The performance of each model, including the weight of the different parameters, were evaluated. RESULTS In total, 91 PNET cases were included in this study, in which 32 were G1, 48 were G2 and 11 were G3. The results showed that there were significant differences among the clinical parameters of patients with different grades. Patients with higher grades tended to have higher values of total bilirubin, alpha fetoprotein, carcinoembryonic antigen, carbohydrate antigen 19-9 and carbohydrate antigen 72-4. Among the models we used, LDA performed best in predicting the PNET tumor grade. Meanwhile, MLP had the highest recall rate for G3 cases. All of the models stabilized when the sample size was over 70 percent of the total, except for SVM. Different parameters varied in affecting the outcomes of the models. Overall, alanine transaminase, total bilirubin, carcinoembryonic antigen, carbohydrate antigen 19-9 and carbohydrate antigen 72-4 affected the outcome greater than other parameters. CONCLUSION ML could be a simple and effective method in non-invasively predicting PNET grades by using the routine data obtained from the results of biochemical and tumor markers.
基金Supported by the Leona M.and Harry B Helmsley Charitable Trust,No.2015PG-IBD005
文摘BACKGROUND Identifying predictors of therapeutic response is the cornerstone of personalized medicine.AIM To identify predictors of long-term mucosal healing(MH) in patients with Crohn's disease(CD) treated with tumor necrosis factor α(TNF-α) inhibitors.METHODS Prospective single center study. Consecutive patients with clinically active CD requiring treatment with a TNF-α inhibitor were included. A baseline segmental CD Endoscopic Index of Severity(CDEIS) ≥ 10 in at least one segment or the presence of ulcerations were required for inclusion. Clinical, biological and endoscopic data were obtained at baseline, weeks 14 and 46. Endoscopic response(ER) was defined as a decrease ≥ 50% from baseline CDEIS and MH as partial CDEIS ≤ 5 in all segments.RESULTS Of 62 patients were included. At baseline, median CD Activity Index and CDEIS were 201 and 6.7, respectively with a significant reduction after one year of treatment(53 and 3.0 respectively, P < 0.001). At week 14, 56% of patients achieved ER and 34% MH. At week 46, the corresponding percentages were 52%and 44%. Baseline disease characteristics or biomarkers did not predict MH. A decrease from baseline CDEIS at week 14 of at least 80% was the best predictor of MH at week 46(59% sensitivity and 91% specificity; area under the curve =0.778).CONCLUSION Clinical and biomarker data are not useful predictors of response to TNF-αinhibitors in CD, whereas ER to induction therapy, defined as 80% reduction in global CDEIS, is a robust predictor of long-term MH. Achievement of this endoscopic endpoint may be considered as a therapeutic target for anti-TNF-αtherapy.
文摘Laparoscopic surgery has become increasingly popular in the management of gastric gastrointestinal stromal tumors (GISTs) in recent years. One hundred and forty-five patients underwent curative resections of primary gastric stromal tumors between September 2002 and March 2012 were assigned to either an open surgery group (n = 99) or a laparoscopic surgery group (n = 46). In the open surgery group, there was a significantly higher number of samples with a mitotic index ≥ 10 (16.1% vs. 0%), more tumors located in the gastric cardia (13.1% vs. 6.5%), greater operative blood loss (80 mL vs. 50 mL) and a longer postoperative hospital stay (10 days vs. 6 days) than in the laparoscopic group. The surgical morbidity and mortality were 6.1% and 0% in the open group, whereas no complication or mortality in the laparoscopic group. Ten patients in the open group had tumor recurrences and no recurrence in the laparoscopic group. Multivariate analysis showed that tumor size and mitotic index were two independent risk factors associated with tumor recurrence. The 3-year disease-free survival rates and 5-year overall survival rates were similar between the two groups. The laparoscopic approach is a safe alternative procedure for gastric GISTs.
文摘目的研究术前血小板分布宽度(Platelet volume distribution width,PDW)联合系统性炎症指数(Systemic inflammation response index,SIRI)对结肠癌术后复发转移的预测价值。方法以2020年1月-2021年6月江苏大学附属医院胃肠外科就诊并接受根治性切除手术治疗的194例结肠癌患者为结肠癌组,选择同期在本院体检中心招募的100例健康体检者为对照组。术前检测并记录PDW和SIRI,收集患者的一般资料包括:性别、年龄、身高、体重、家族肿瘤史、是否吸烟、酗酒、体质指数(Body mass index,BMI)、肿瘤最大径、TNM分期(Tumor node metastasis,TNM)和分化程度。对患者随访2年,记录结肠癌复发转移情况。采用ROC曲线确定相关变量的临界最佳值,通过AUC(ROC曲线下面积)评价其预后的准确性。结果与对照组比较,结肠癌组PDW和SIRI均显著增高,差异有统计学意义(P<0.05)。术后发生复发转移患者术前PDW与SIRI高于术后未发生复发转移的患者,差异有统计学意义(P<0.05)。TNM分期Ⅲ~Ⅳ期和中低分化程度术后复发转移患者的PDW高于Ⅰ~Ⅱ期患者和高分化程度患者,差异有统计学意义(P<0.05)。肿瘤最大径≥5 cm、TNM分期Ⅲ~Ⅳ期和中低分化程度术后复发转移患者的PDW高于肿瘤最大径<5 cm、TNM分期Ⅰ~Ⅱ期和高分化程度的患者,差异有统计学意义(P<0.05)。PDW、SIRI及两者联合预测结肠癌术后复发转移的曲线下面积(Area under curve,AUC)分别为0.761(95%CI:0.691~0.831),0.836(95%CI:0.775~0.897)和0.918(95%CI:0.876~0.960)。术后复发转移患者的PDW与SIRI呈显著正相关关系(r=0.574,P=0.003)。结论PDW、SIRI与结肠癌患者临床病理特征和术后复发转移有关,两者联合预测术后复发转移的效能较好,可为临床应用提供一定参考价值。
文摘AIM: To evaluate the efficacy of endoscopic ultrasonography-guided fine needle aspiration(EUS-FNA) for grading pancreatic neuroendocrine tumors(PNETs).METHODS: A total of 22 patients were diagnosed with PNET by EUS-FNA between October 2001 and December 2013 at Fukushima Medical University Hospital.Among these cases,we targeted 10 PNET patients who were evaluated according to the World Health Organization(WHO) 2010 classification.Surgery was performed in eight patients,and chemotherapy was performed in two patients due to multiple liver metastases.Specimens obtained by EUS-FNA were first stained with hematoxylin and eosin and then stained with chromogranin,synaptophysin,CD56,and Ki-67.The specimens were graded by the Ki-67 index according to the WHO 2010 classification.Specimens obtained by surgery were graded by the Ki-67 indexand mitotic count(WHO 2010 classification).For the eight specimens obtained by EUS-FNA,the Ki-67 index results were compared with those obtained by surgery.In the two cases treated with chemotherapy,the effects and prognoses were evaluated.RESULTS: The sampling rate for histological diagnosis by EUS-FNA was 100%.No adverse effects were observed.The concordance rate between specimens obtained by EUS-FNA and surgery was 87.5%(7/8).Fo r t h e t w o c a s e s t re a t e d w i t h c h e m o t h e ra p y,case 1 received somatostatin analog therapy and transcatheter arterial infusion(TAI) targeting multiple liver metastases.Subsequent treatment consisted of everolimus.During chemotherapy,the primary tumor remained unconfirmed,although the multiple liver metastases diminished dramatically.Case 2 was classified as neuroendocrine carcinoma(NEC) according to the Ki-67 index of a specimen obtained by EUS-FNA; therefore,cisplatin and irinotecan therapy was started.However,severe adverse effects,including renal failure and diarrhea,were observed,and the therapy regimen was changed to cisplatin and etoposide.TAI targeting multiple liver metastases was performed.Although the liver metastases diminished,the primary tumor remained unconfirmed.These chemotherapy regimens had immediate effects for both unresectable neuroendocrine tumor(NET) and NEC cases.These two subjects are still alive.CONCLUSION: EUS-FNA was effective for PNET diagnosis and Ki-67 index grading for WHO 2010 classification,enabling informed decisions on unresectable PNET treatment by identifying NET or NEC.
