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Spots Global Cancer Trial Database for Correlation Analysis of T-lymphocyte Subsets and Prognosis in Autologous Stem Cell Transplantation (ASCT) for Lymphoma

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Trial Identification

Brief Title: Correlation Analysis of T-lymphocyte Subsets and Prognosis in Autologous Stem Cell Transplantation (ASCT) for Lymphoma

Official Title: Correlation Analysis of T-lymphocyte Subsets and Prognosis in Autologous Stem Cell Transplantation (ASCT) for Lymphoma

Study ID: NCT03283111

Conditions

Lymphoma

Study Description

Brief Summary: This is a retrospective, single-center, non-randomized, non-controlled study. This study aims to explore the effect of T-lymphocyte subsets changes in immunologic reconstitution and prognosis in lymphoma patients who were treated by autologous stem cell transplantation.

Detailed Description: High dose chemotherapy combined with autologous peripheral blood stem cell transplantation is the consolidation treatment for advanced lymphoma patients and approved for treating recurrent and refractory lymphoma by prolonging progression-free survival significantly while also improving quality of life. Evidences to date, have validated that changes of T-lymphocyte subsets after autologous stem cell transplantation associated closely with immunologic reconstitution, and have produced amazing effects in prognosis. Whether T-lymphocyte subsets changes could serve as an effective index for prognosis has been a serious question for lymphoma patients treated by autologous stem cell transplantation. In this study, the investigators explore the changes of T-lymphocyte subsets in lymphoma patients before and after autologous stem cell transplantation, and evaluate the significant effect of T-lymphocyte subsets changes in immunologic reconstitution and prognosis in these patients.

Keywords

Eligibility

Minimum Age: 18 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

Beijing Cancer Hospital, Beijing, , China

Contact Details

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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