1.Development of chronic myeloid leukemia in the 55th ASH annual meeting
Journal of Leukemia & Lymphoma 2014;23(1):22-25
In patients with chronic myeloid leukemia (CML) in chronic phase who have achieved complete molecular remission on imatinib therapy,whether and when to discontinue the drug become a hot topic.The famous clinical trials of discontinue tyrosine kinase inhibitor (TKI) from France and Australia have demonstrated that long-term monotherapy with TKI is not curative in the majority of patients with CML.This has focused attention on strategies to eradicate residual disease in CML patients,which should result in cure and long-term treatment-free remission and leukemia-free survival.This review provides a brife summary of the 55th ASH annual meeting,focusing on the potential combination therapeutics in the era of TKI.
2.Research on PR1 specific cytotoxic T lymphocytes of HLA-A0201 positive chronic myelogenous leukemia
Lingling WANG ; Yue XU ; Yangwen JIANG
Journal of Leukemia & Lymphoma 2015;24(8):483-486
Objective To evaluate the relationship between proportion of PR1 specific cytotoxic T lymphocytes (CTLs) in the peripheral blood and prognosis and curative effect in patients with HLA-A0201 positive chronic myelogenous leukemia (CML),and to discuss whether PR1 peptide could be used as the following immune therapeutic method for patients who had achieved the standard of stop treatment.Methods The soluble HLA-A0201/PR1 tetramer and flow cytometry were applied to determine the proportion and the frequency of PR1 specific CTLs in peripheral blood from 28 HLA-A0201 positive CML patients.The proportions were compared among different phases of patients.The correlations between the proportion of PR1 specific CTLs and clinical parameters were analyzed.Results There was a negative correlation between PR1 specific CTLs and PCR (bcr-abl/abl)Is (r =-0.658,P < 0.001).The frequencies of PR1 specific CTLs at 3-month,6-month,9-month,12-month,2-year,3-year,4-year,5-year,6-year were (0.06±0.02) %,(0.10± 0.02) %,(0.14±0.02) %,(0.16±0.02) %,(0.20±0.03) %,(0.18±0.03) %,(0.18±0.01) %,(0.17±0.05) % and (0.18±0.03) %,respectively.The frequency of PR1 specific CTLs at 3-month,6-month or 9-month was statistically different compared with that of the other time spots (P < 0.05),and there were no statistical differencies among the frequencies at 1-year,2-year,3-year,4-year,5-year,6-year (P > 0.05).For patients treated with IM 400 mg qd,the frequency of PR1 specific CTLs in high-risk group was lower than that in low-risk or intermediate-risk groups.Conclusion PR1 specific CTLs can be detected in patients who achieved good curative effect,and is correlated with tumor burden,which indicates that PR1 specific CTLs may be related to the action of resisting leukemia and provide the evidence for PR1 peptide as a potential immune therapeutic schedule in patients who have achieved stable MR45 and MR50.
3. Distribution and drug resistance of pathogens at hematology department of Jiangsu Province from 2014 to 2015: results from a multicenter, retrospective study
Yike WAN ; Wei SANG ; Bing CHEN ; Yonggong YANG ; Luqin ZHANG ; Aining SUN ; Yuejun LIU ; Yang XU ; Yipeng CAI ; Chunbin WANG ; Yunfeng SHEN ; Yangwen JIANG ; Xiaoyan ZHANG ; Wei XU ; Ming HONG ; Tao CHEN ; Ruirong XU ; Feng LI ; Yanli XU ; Yan XUE ; Yilong LU ; Zhengmei HE ; Weimin DONG ; Ze CHEN ; Meihua JI ; Yueyan YANG ; Lijia ZHAI ; Yu ZHAO ; Guangqi WU ; Jiahua DING ; Jian CHENG ; Weibo CAI ; Yumei SUN ; Jian OUYANG
Chinese Journal of Hematology 2017;38(7):602-606
Objective:
To describe the distribution and drug resistance of pathogens at hematology department of Jiangsu Province from 2014 to 2015 to provide reference for empirical anti-infection treatment.
Methods:
Pathogens were from hematology department of 26 tertiary hospitals in Jiangsu Province from 2014 to 2015. Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or agar dilution method. Collection of drug susceptibility results and corresponding patient data were analyzed.
Results:
The separated pathogens amounted to 4 306. Gram-negative bacteria accounted for 64.26%, while the proportions of gram-positive bacteria and funguses were 26.99% and 8.75% respectively. Common gram-negative bacteria were Escherichia coli (20.48%) , Klebsiella pneumonia (15.40%) , Pseudomonas aeruginosa (8.50%) , Acinetobacter baumannii (5.04%) and Stenotropho-monas maltophilia (3.41%) respectively. CRE amounted to 123 (6.68%) . Common gram-positive bacteria were Staphylococcus aureus (4.92%) , Staphylococcus hominis (4.88%) and Staphylococcus epidermidis (4.71%) respectively. Candida albicans were the main fungus which accounted for 5.43%. The rates of Escherichia coli and Klebsiella pneumonia resistant to carbapenems were 3.5%-6.1% and 5.0%-6.3% respectively. The rates of Pseudomonas aeruginosa resistant to tobramycin and amikacin were 3.2% and 3.3% respectively. The resistant rates of Acinetobacter baumannii towards tobramycin and cefoperazone/sulbactam were both 19.2%. The rates of Stenotrophomonas maltophilia resistant to minocycline and sulfamethoxazole were 3.5% and 9.3% respectively. The rates of Staphylococcus aureus, Enterococcus faecium and Enterococcus faecalis resistant wards vancomycin were 0, 6.4% and 1.4% respectively; also, the rates of them resistant to linezolid were 1.2%, 0 and 1.6% respectively; in addition, the rates of them resistant to teicoplanin were 2.8%, 14.3% and 8.0% respectively. Furthermore, MRSA accounted for 39.15% (83/212) .
Conclusions
Pathogens were mainly gram-negative bacteria. CRE accounted for 6.68%. The rates of Escherichia coli and Klebsiella pneumonia resistant to carbapenems were lower compared with other antibacterial agents. The rates of gram-positive bacteria resistant to vancomycin, linezolid and teicoplanin were still low. MRSA accounted for 39.15%.
4.Evaluation of the immune target effects of corticosteroids, rituximab or gamma globulin for treatment of immune thrombocytopenia.
Mei SUN ; Dan SHAN ; Wei GU ; Xing SUN ; Bin HE ; Xiaoping PEI ; Peishuai CHEN ; Jun GUAN ; Yangwen JIANG ; Aihong SUN ; Li MA ; Lianjun SHEN ; Wei WU ; Jun NI ; Jian GU
Chinese Journal of Hematology 2014;35(12):1111-1114