Molecular Classification of Suspicious Thyroid Tumors
可疑甲状腺肿瘤的分子分类
基本信息
- 批准号:6926763
- 负责人:
- 金额:$ 29.64万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-04-01 至 2010-03-31
- 项目状态:已结题
- 来源:
- 关键词:clinical researchdiagnosis design /evaluationfine needle aspirationgenotypehuman subjectimmunocytochemistryin situ hybridizationmicroarray technologyneoplasm /cancer classification /stagingneoplasm /cancer diagnosispatient oriented researchpolymerase chain reactiontechnology /technique developmentthyroid neoplasm
项目摘要
A. SPECIFIC AIMS
Diagnostic Dilemma in the Differential Diagnosis of a Suspicious Thyroid Nodule.
Although fine needle aspiration (FNA) cytology is the best diagnostic tool in the differential diagnosis of a thyroid nodule, it often cannot differentiate a benign from a malignant lesion. Consequently, a majority of patients with thyroid nodules require surgery because of a suspicious, but not definite, diagnosis of malignancy. Because the surgical management for benign and malignant thyroid nodules differs, patients with suspicious FNAs may be treated in a less than ideal way surgically. Some patients with benign lesions may undergo unnecessary surgery and some with malignant lesions may require a second operation for completion thyroidectomy once a diagnosis of malignancy is rendered on permanent histological section.
Research Premise
Although others and we have documented various genetic alterations in thyroid neoplasms, no specific alteration(s) can reliably distinguish benign from malignant lesions. We propose that specific gene expression patterns are associated with the various thyroid tumor types and that these unique expression patterns can be capitalized upon to differentiate one tumor type from another. We therefore propose to genotype by microarray analysis the benign and malignant thyroid lesions that can and often do present as "suspicious" lesions on FNA cytology. [To that end we have performed microarray analysis on 63 thyroid tumors and have selected a set of 11 genes that best discriminate benign from malignant in 4 of 8 thyroid tumor sub-types. These data will be validated and expanded to include 4 additional thyroid tumor sub-types. A panel of candidate, discriminating genes will then be validated by real time RT-PCR and in situ hybridization (ISH) of thyroid tumors, followed by both immunohistochemistry (IHC) of tissue microarrays and, immunocytochemistry (ICC) of cell blocks
Prepared from thyroid cell lines and FNA samples.] The ultimate and future goal would then be to apply these results to the differential diagnosis of suspicious thyroid FNA samples in order to improve the clinical management of patients with this diagnosis.
To accomplish these goals we propose the following:
Specific Aim 1: To genomically define by microarray analysis benign and malignant thyroid tumors.
Specific Aim 2: To validate the candidate gene sets selected in Aim 1 by real-time quantitative RT-PCR and, [in situ hybridization ISH].
Specific Aim 3: To develop immunohistochemical (IHC) assays for genes validated in Aim 2, validate these by tissue microarrays analysis (TMA) of thyroid tumors and [cell blocks prepared from paraffin-embedded thyroid cell lines, and perform immunocytochemical (ICC) assays to cell blocks prepared from FNA samples.]
A. 具体目标
可疑甲状腺结节鉴别诊断中的诊断困境。
虽然细针穿刺细胞学检查是甲状腺结节鉴别诊断的最佳诊断工具,但它往往不能区分良性和恶性病变。因此,大多数甲状腺结节患者需要手术,因为怀疑,但不确定,恶性诊断。由于良性和恶性甲状腺结节的手术治疗不同,可疑FNA的患者可能以不太理想的方式手术治疗。一些良性病变的患者可能会接受不必要的手术,一些恶性病变可能需要第二次手术完成甲状腺切除术,一旦诊断为恶性的永久组织切片。
研究经费
尽管我们和其他人已经证实了甲状腺肿瘤中的各种遗传改变,但没有特异性改变可以可靠地区分良性和恶性病变。我们提出,特定的基因表达模式与各种甲状腺肿瘤类型相关,这些独特的表达模式可以用来区分不同的肿瘤类型。因此,我们建议通过微阵列分析基因型的良性和恶性甲状腺病变,可以和经常做FNA细胞学上的“可疑”病变。[To为此,我们对63个甲状腺肿瘤进行了微阵列分析,并选择了一组11个基因,这些基因在8种甲状腺肿瘤亚型中的4种中最能区分良性和恶性。将对这些数据进行验证,并将其扩展至包括另外4种甲状腺肿瘤亚型。一组候选的、有鉴别力的基因将通过甲状腺肿瘤的真实的时间RT-PCR和原位杂交(ISH)进行验证,然后通过组织微阵列的免疫组织化学(IHC)和细胞块的免疫细胞化学(ICC)进行验证
由甲状腺细胞系和FNA样本制备。]最终和未来的目标将是将这些结果应用于可疑甲状腺FNA样本的鉴别诊断,以改善这种诊断患者的临床管理。
为实现这些目标,我们提出以下建议:
具体目标1:通过基因芯片分析确定良性和恶性甲状腺肿瘤。
具体目标2:通过实时定量RT-PCR和[原位杂交ISH]验证目标1中选择的候选基因集。
具体目标3:为目标2中验证的基因开发免疫组织化学(IHC)测定,通过甲状腺肿瘤和[从石蜡包埋的甲状腺细胞系制备的细胞块的组织微阵列分析(TMA),并对从FNA样本制备的细胞块进行免疫细胞化学(ICC)测定]验证这些测定。
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(1)
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MARTHA Allen ZEIGER其他文献
MARTHA Allen ZEIGER的其他文献
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{{ truncateString('MARTHA Allen ZEIGER', 18)}}的其他基金
Differentiating Tumor Classes by Analysis of Alternative Splice Variant Patterns
通过分析选择性剪接变异模式来区分肿瘤类别
- 批准号:
7737974 - 财政年份:2009
- 资助金额:
$ 29.64万 - 项目类别:
Molecular Classification of Suspicious Thyroid Tumors
可疑甲状腺肿瘤的分子分类
- 批准号:
7031038 - 财政年份:2005
- 资助金额:
$ 29.64万 - 项目类别:
Molecular Classification of Suspicious Thyroid Tumors
可疑甲状腺肿瘤的分子分类
- 批准号:
7568952 - 财政年份:2005
- 资助金额:
$ 29.64万 - 项目类别:
Molecular Classification of Suspicious Thyroid Tumors
可疑甲状腺肿瘤的分子分类
- 批准号:
7195125 - 财政年份:2005
- 资助金额:
$ 29.64万 - 项目类别:
Molecular Classification of Suspicious Thyroid Tumors
可疑甲状腺肿瘤的分子分类
- 批准号:
7363610 - 财政年份:2005
- 资助金额:
$ 29.64万 - 项目类别:
HTERT GENE EXPRESSION IN SUSPICIOUS THYROID FNA SAMPLES
可疑甲状腺 FNA 样本中的 HTERT 基因表达
- 批准号:
6124691 - 财政年份:2000
- 资助金额:
$ 29.64万 - 项目类别:
HTERT GENE EXPRESSION IN SUSPICIOUS THYROID FNA SAMPLES
可疑甲状腺 FNA 样本中的 HTERT 基因表达
- 批准号:
6377111 - 财政年份:2000
- 资助金额:
$ 29.64万 - 项目类别:














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