Title |
Autologous hematopoietic stem cell transplantation may improve long-term outcomes in patients with newly diagnosed extranodal natural killer/T-cell lymphoma, nasal type: a retrospective controlled study in a single center
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Published in |
International Journal of Hematology, August 2017
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DOI | 10.1007/s12185-017-2324-z |
Pubmed ID | |
Authors |
Jingwen Wang, Liqiang Wei, Jin Ye, Lei Yang, Xin Li, Jia Cong, Na Yao, Xueying Cui, Yiping Wu, Jing Ding, Le Zhang |
Abstract |
Extranodal natural killer/T-cell lymphoma, nasal type (ENKTL) is a rare disease with a poor prognosis. The long-term effect of autologous hematopoietic stem cell transplantation (auto-HSCT) on ENKTL has been reported occasionally but needs further investigation. In this retrospective study from a single center, 20 ENKTL patients who received induction chemotherapy followed by auto-HSCT ± involved-field radiotherapy (IFRT) ± additional chemotherapy were enrolled as a study group. Another 60 fit ENKTL patients who received induction chemotherapy ± IFRT ± additional chemotherapy were selected as the control group. Baseline characteristics of all patients were well balanced. Our analysis showed that after a median follow-up time of 61.0 months (95% CI 52.3-69.7), the auto-HSCT treated group showed better overall survival (OS) than the control group (p = 0.045). The median OS of the auto-HSCT-treated group was not reached, but that of the control group was 62.0 months. Five-year comparison of OS between the two groups also showed a significant difference (79.3 vs. 52.3%, p = 0.026). We suggest that auto-HSCT treatment, in combination with chemoradiotherapy, may prolong OS and improve the long-term outcomes of fit patients with ENKTL compared to treatment with chemoradiotherapy alone. |
X Demographics
Geographical breakdown
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Russia | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Other | 3 | 20% |
Researcher | 2 | 13% |
Student > Ph. D. Student | 1 | 7% |
Lecturer > Senior Lecturer | 1 | 7% |
Student > Master | 1 | 7% |
Other | 1 | 7% |
Unknown | 6 | 40% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 3 | 20% |
Nursing and Health Professions | 2 | 13% |
Chemical Engineering | 1 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Immunology and Microbiology | 1 | 7% |
Other | 1 | 7% |
Unknown | 6 | 40% |