Genomic imbalances in 5918 malignant epithelial tumors: an explorative meta-analysis of chromosomal CGH data.
Genomic imbalances in 5918 malignant epithelial tumors: an explorative meta-analysis of chromosomal CGH data.
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DOI：
10.1186/1471-2407-7-226
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发表时间：
2007-12-18
期刊：
影响因子：
3.8
通讯作者：
Baudis M
中科院分区：
文献类型：
--
作者：
Baudis M
染色体异常与大多数人类恶性肿瘤相关，与特定实体相关的某些基因组区域的增益和损失有关。在为Progenetix分子细胞遗传学数据库收集的15429例病例中，选择了5918例通过染色体比较基因组杂交（CGH）分析的恶性上皮性肿瘤进行进一步评价。对于超过50例的22个临床病理学实体，从病例特异性数据生成基因组失衡的汇总概况并进行分析。随着整体基因组不稳定性的大变化，反复出现的基因组增益和损失是突出的。大多数实体在8q2上表现出频繁的增益，而在20q，1q，3q，5p，7q和17q上的增益在不同的实体中是频繁的。损失“热点”包括3p，4q，13q，17p和18q等。相关的平均不平衡模式被发现用于临床上不同的实体，例如肝细胞癌（ca.）和导管乳腺癌，以及组织学相关实体（鳞状细胞癌，不同的网站）。虽然相当大的情况下，由CGH上皮恶性肿瘤的基因组图谱的变化可以发现，一组有限的各种组合的染色体不平衡可能是典型的致癌作用。关注各自的区域有助于靶基因的检测和途径推导。
Chromosomal abnormalities have been associated with most human malignancies, with gains and losses on some genomic regions associated with particular entities. Of the 15429 cases collected for the Progenetix molecular-cytogenetic database, 5918 malignant epithelial neoplasias analyzed by chromosomal Comparative Genomic Hybridization (CGH) were selected for further evaluation. For the 22 clinico-pathological entities with more than 50 cases, summary profiles for genomic imbalances were generated from case specific data and analyzed. With large variation in overall genomic instability, recurring genomic gains and losses were prominent. Most entities showed frequent gains involving 8q2, while gains on 20q, 1q, 3q, 5p, 7q and 17q were frequent in different entities. Loss "hot spots" included 3p, 4q, 13q, 17p and 18q among others. Related average imbalance patterns were found for clinically distinct entities, e.g. hepatocellular carcinomas (ca.) and ductal breast ca., as well as for histologically related entities (squamous cell ca. of different sites). Although considerable case-by-case variation of genomic profiles can be found by CGH in epithelial malignancies, a limited set of variously combined chromosomal imbalances may be typical for carcinogenesis. Focus on the respective regions should aid in target gene detection and pathway deduction.
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影响因子：
5.3
作者：
CREMER, T;LICHTER, P;MANUELIDIS, L
通讯作者：
MANUELIDIS, L
影响因子：
9.8
作者：
Chen, XN;Knauf, JA;Korenberg, JR
通讯作者：
Korenberg, JR
影响因子：
5.3
作者：
JOOS, S;SCHERTHAN, H;LICHTER, P
通讯作者：
LICHTER, P
影响因子：
3.7
作者：
Coe, BR;Lee, EHL;Lam, WL
通讯作者：
Lam, WL
DOI：
10.1159/000134448
发表时间：
1996-01-01
期刊：
CYTOGENETICS AND CELL GENETICS
影响因子：
--
作者：
Bentz, M;Bergerheim, USR;Lichter, P
通讯作者：
Lichter, P