MOLECULAR PROGRESSION MODEL FOR TRANSITIONAL CELL CARCINOMA
移行细胞癌的分子进展模型
基本信息
- 批准号:6410222
- 负责人:
- 金额:$ 22.84万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2001
- 资助国家:美国
- 起止时间:2001-01-02 至 2001-11-30
- 项目状态:已结题
- 来源:
- 关键词:bladder neoplasm chromosome deletion disease /disorder model frameshift mutation genetic mapping histopathology human tissue molecular genetics neoplasm /cancer genetics neoplastic cell neoplastic process nucleic acid sequence polymerase chain reaction tissue /cell culture transitional cell carcinoma tumor suppressor genes urinalysis
项目摘要
Most neoplasms, including bladder cancer, are thought to progress through
a series of clinical histopathological stages. This progression is
accompanied by specific genetic changes which include activation of
protooncogenes and loss of tumor suppressor genes. Recently, we defined
two critical events that occur early in bladder progression: (1) a high
incidence of loss on chromosome 9p21 and less often (2) instability of
microsatellite repeats. A novel tumor suppressor gene, p16, is often
deleted in the 9p21 region. However, other areas of chromosomal deletion
and other critical genes in known regions of high frequency loss remain to
be identified. Studies in this proposal are aimed at the development of a
genetic model of bladder cancer progression and ultimately in developing
new molecular detection strategies. First, a variety of lesions including,
preinvasive and invasive tumor will be tested to identify new regions of
loss (and verify established regions of loss) and microsatellite
alterations to develop a molecular progression model for bladder cancer.
Second, mapping studies will continue to identify the precise location of
putative tumor suppressor gene loci on 14q and other chromosomal arms with
a high frequency of loss. Finally, we will continue development of assays
that can detect microsattelite alterations in urine. Initial feasibility
projects demonstrate that these studies will be greatly accelerated with
the advent of high throughput fluorescent capillary and chip arrays. A
combination of the above studies should provide important insight into the
specific genetic changes associated with bladder tumor progression and
eventually lead to the isolation of novel tumor suppressor genes.
Additionally, establishment of highly susceptible microsatellite repeats
in bladder tumors will allow identification of critical targets for
further development of molecular detection approaches.
大多数肿瘤,包括膀胱癌,被认为是通过
一系列的临床组织病理学阶段。这种进步是
伴随着特定的遗传变化,包括激活
原癌基因和肿瘤抑制基因的丢失。最近,我们定义了
在膀胱进展早期发生的两个关键事件:(1)高的
染色体9p21丢失的发生率和较少发生率(2)
微卫星重复序列一种新的肿瘤抑制基因p16,
在9p21区域缺失。然而,染色体缺失的其他区域
和其他关键基因在已知区域的高频损失仍然是,
被识别。本提案中的研究旨在制定一项
膀胱癌进展的遗传模型,
新的分子检测策略。首先,各种病变包括,
将对侵袭前和侵袭性肿瘤进行测试,以确定新的区域,
损失(并核实已确定的损失区域)和微型卫星
改变以开发膀胱癌的分子进展模型。
第二,测绘研究将继续确定
14q和其他染色体臂上的假定肿瘤抑制基因位点,
损失的频率很高。最后,我们将继续开发检测方法,
可以检测尿液中微卫星的变化初步可行性
项目表明,这些研究将大大加快,
高通量荧光毛细管和芯片阵列的出现。一
上述研究的结合应该提供重要的洞察力,
与膀胱肿瘤进展相关的特定遗传变化,
最终导致新的肿瘤抑制基因的分离。
此外,建立高度敏感的微卫星重复序列,
在膀胱肿瘤中的应用将允许识别关键目标,
进一步发展分子检测方法。
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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DAVID SIDRANSKY其他文献
DAVID SIDRANSKY的其他文献
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{{ truncateString('DAVID SIDRANSKY', 18)}}的其他基金
DNA evaluation of fragments for early interception (DELFI) of Lung cancer
肺癌早期拦截 (DELFI) 片段的 DNA 评估
- 批准号:
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Racial differences in Immunogenetic Tumorigenesis of Head and Neck Squamous Cell Carcinoma
头颈鳞状细胞癌免疫遗传肿瘤发生的种族差异
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10516823 - 财政年份:2022
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Racial differences in Immunogenetic Tumorigenesis of Head and Neck Squamous Cell Carcinoma
头颈鳞状细胞癌免疫遗传肿瘤发生的种族差异
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甲基化标记的发现和表征
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9035473 - 财政年份:2012
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Discovery and Characterization of Methylation Markers
甲基化标记的发现和表征
- 批准号:
8495291 - 财政年份:2012
- 资助金额:
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Discovery and Characterization of Methylation Markers
甲基化标记的发现和表征
- 批准号:
8658048 - 财政年份:2012
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Discovery and Characterization of Methylation Markers
甲基化标记的发现和表征
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8217831 - 财政年份:2012
- 资助金额:
$ 22.84万 - 项目类别:
Discovery and Characterization of Methylation Markers
甲基化标记的发现和表征
- 批准号:
8777709 - 财政年份:2012
- 资助金额:
$ 22.84万 - 项目类别:
TUMOR SUPPRESOR GENE PROMOTER HYPERMETHYLATION FOR DETECTION OF HEAD AND NECK
用于头颈部检测的肿瘤抑制基因启动子高甲基化
- 批准号:
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- 资助金额:
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- 批准号:
7909202 - 财政年份:2009
- 资助金额:
$ 22.84万 - 项目类别:
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