OPTIMIZING BMT FOR CANCER BY GENETIC MATCHING OF DONORS
通过捐赠者基因匹配优化癌症 BMT
基本信息
- 批准号:6150054
- 负责人:
- 金额:$ 11.75万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1997
- 资助国家:美国
- 起止时间:1997-02-01 至 2004-01-31
- 项目状态:已结题
- 来源:
- 关键词:MHC class I antigen MHC class II antigen T lymphocyte alleles antigen presentation bone marrow transplantation chemical association clinical research computer assisted sequence analysis genetic polymorphism genotype graft versus host disease haploidy histocompatibility histocompatibility gene histocompatibility typing homologous transplantation human mortality human subject immune tolerance /unresponsiveness isoantigen major histocompatibility complex neoplasm /cancer transplantation polymerase chain reaction transplantation immunology
项目摘要
Patients with hematologic malignancies can be cured with unrelated donor
(URD) marrow transplantation. Compared to transplantation from related
donors, however, URD transplantation is associated with an increased risk
of complications including acute and chronic graft-versus-host disease
(GVHD), graft failure, and the need for prolonged immunosuppression.
Recently, clinical studies have demonstrated the importance of HLA genes
in influencing transplant outcome. Donor-recipient matching for the class
II gene HLA-DRB1 reduces the risk of acute GVHD and improves survival,
whereas mismatching for the class I genes HLA-A, B and C increases the
risk of graft failure. In addition to the classical HLA genes, disparity
for other genes may contribute to an increased risk of complications
since HLA-A, B, C, DRB and DQB1 genotypically matched URD recipients
still develop GVHD and experience graft failure. Because of the
fundamental role of MHC class I and related molecules in antigen
presentation and T cell recognition, HLA-E and MIC are of immediate
immunological interest in the clinical transplant setting. The overall
goal of this project is to determine the extent to which URD marrow
transplantation can be optimized by more complete donor-recipient
matching of MHC region genes. PCR-based technology will be developed to
sequence HLA-E and MIC (Specific Aim l). The extent of polymorphism, the
association of alleles on haplotypes and the degree of mismatching for
HLA-E and-MIC alleles in URD transplant pairs will be determined
(Specific Aim 2). Finally, the effect of mismatching for HLA-E and MIC
alleles on the development of GVHD, graft failure and survival after
marrow transplantation will be studied (Specific Aim 3). The studies
proposed in this application will provide important new information
concerning the biological relevance of class I region genes in the immune
response and offer new approaches for improving the overall outcome of
marrow transplantation.
血液学恶性肿瘤患者可以通过非亲属供体治愈
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Effie W Petersdorf其他文献
Effie W Petersdorf的其他文献
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{{ truncateString('Effie W Petersdorf', 18)}}的其他基金
Immunogenetics of Outcomes Disparities After Allogeneic HCT
同种异体 HCT 后结果差异的免疫遗传学
- 批准号:
10659539 - 财政年份:2023
- 资助金额:
$ 11.75万 - 项目类别:
Immunogenetics of Outcomes Disparities after Allogeneic HCT
同种异体 HCT 后结果差异的免疫遗传学
- 批准号:
10177961 - 财政年份:2018
- 资助金额:
$ 11.75万 - 项目类别:
Immunogenetics of Outcomes Disparities after Allogeneic HCT
同种异体 HCT 后结果差异的免疫遗传学
- 批准号:
10441227 - 财政年份:2018
- 资助金额:
$ 11.75万 - 项目类别:
Immunogenetics of Outcomes Disparities after Allogeneic HCT
同种异体 HCT 后结果差异的免疫遗传学
- 批准号:
10601325 - 财政年份:2018
- 资助金额:
$ 11.75万 - 项目类别:
Immuno and Epigenetics of Hematopoietic Cell Transplantation
造血细胞移植的免疫和表观遗传学
- 批准号:
10216189 - 财政年份:2017
- 资助金额:
$ 11.75万 - 项目类别:
Immuno and Epigenetics of Hematopoietic Cell Transplantation
造血细胞移植的免疫和表观遗传学
- 批准号:
10660131 - 财政年份:2017
- 资助金额:
$ 11.75万 - 项目类别:
Immuno and Epigenetics of Hematopoietic Cell Transplantation
造血细胞移植的免疫和表观遗传学
- 批准号:
9361832 - 财政年份:2017
- 资助金额:
$ 11.75万 - 项目类别:
Immuno and Epigenetics of Hematopoietic Cell Transplantation
造血细胞移植的免疫和表观遗传学
- 批准号:
9980803 - 财政年份:2017
- 资助金额:
$ 11.75万 - 项目类别:
Immuno and Epigenetics of Hematopoietic Cell Transplantation
造血细胞移植的免疫和表观遗传学
- 批准号:
10602899 - 财政年份:2017
- 资助金额:
$ 11.75万 - 项目类别:
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