肝门部胆管癌浸润与转移方式的实验研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
在临床意义上,肝门部胆管癌是一种恶性程度高预后差的肿瘤。
    有关它的生长、浸润和转移的机制一直困扰着广大的外科医生。从形
    态学和分子生物学的角度来观察和研究胆管癌的表现,可能更深入的
    揭示它的发生、发展和其恶性生物学行为的机理。基于这种思路,本
    实验是将计算机技术和基因芯片技术结合到肝门部胆管癌的研究中,
    为探索如何提高此病的临床治疗效果打下基础。
    目的:1.为研究肝门部胆管癌的发展与转移机制提供一种新的思路。
    为建立科学的临床治疗观念提供形态学和分子生物学的依据。
    方法:3例手术切除的较完整肝门部胆管癌及其周围正常组织,病理
    证实均为中低分化的胆管腺癌。运用石蜡包埋和连续组织切片获得二
    维肝门部胆管癌大体组织断面,以体素重建法,结合插值拟合与光照
    处理技术,对手术切除的肝门部胆管癌和其相关连的组织进行大块标
    本三维重建;观察癌细胞的立体分布。另外,分别提取胆管癌和正常
    组织的RNA,作为待测样品。用荧光染料标记制备成探针与基因芯片
    进行杂交,通过检测探针分子的杂交信号强度而获取样品分子的数量
    和序列信息,寻找出胆管癌组织中差异表达的基因。
    
    
    
    一
    结果:!.整体重建效果图像(图10《5)兰色的为胆管,红色的为肿
    瘤细胞;从重建的效果区””“、上及不同的角度显示肿瘤的大体形态及其
    在空间上与周围组织的比邻关系。
    2.胆管和胆管癌的三维关系图像(图 16士0)在整体重建的基础上调
    节密度梯度,隐去胆管和肿瘤细胞之外的其余组织结构;只显示胆管
    和肿瘤细胞,更直观的展示了肿瘤细胞沿胆管壁和胆管周围浸润生长
    的三维图像。
    3.神经侵润的三维图像(图2125)兰色的为一条完整的神经束,红
    色为肿瘤细胞:从三维重建的图像上及不同的角度和方位显示肿瘤细
    胞沿神经鞘膜进行自上而下的浸润生长。
    4.筛选出246项;这246项数据所代表的基因在与两种探针杂交时
    表现出较大的差异。其中新基因102条。下调基因164条,上调基因
    82条;这246条基因代表15种类别,其中癌基因17条,离子通道和
    运输蛋白基因4条,细胞周期蛋白基因16条,外压反应蛋白基因l
    条,细胞骨架和运动基因12条,细胞凋亡基因3条,DNA合成和修复
    重组基因 4条,DNA结合、转录基因 17条,细胞受体基因 6条,兔疫
    相关基因 11条,代谢基因 33条,蛋白质翻译合成基因 30条,发育
    相关基因10条,细胞信号和传递蛋白基因58条,其它类基因57
    条。
    结论:1.成功地建立了基于微机的肝门部胆管癌病理图像三维重建。
    2.真实反映了重建区域内各结构立体形态,空间位置和相互的毗邻关
    系。
     5
    
    博士论文 中国人民解放军军医进修学院
    一
    3.可以对重建的图像进行各种操作,诸如不同方位的立体视图,肿瘤
    的各种几何尺寸的测量和空间定位,不同组织的单独显示或多种组织
    的重叠显示。
    4.从癌细胞在胆管和神经分布模式可应用于改进根治性手术方式和评
    估手术效果。
    5.可应用于外科的计算机辅助教学。
    6.成功地筛选出胆管癌的差异表达基因。其实际理论意义仍有待于进
    一步研究。
HBDC are highly malignant tumors with poor
    prognosis. The spreading mode and mechanism of invasion and
    metastasis are still confusing to many clinicians. The most
    important factor affecting prognosis is "radical"
    resection of the tumcr. More under standing of the spread
    of the cancer cells along the bile duct and nerves is
    needed. According to this, we use computer technique and
    DNA microarray in the study.
    Objective: 1. To establish an algorithm of three-dimensional
    resconstruction of HBDC.
    2. To find a reconstruction technique where all HBDC
    structures can be individually or globally analyzed
    according to what is required.
    Methods: Taken from 3 paraffin-embedded tissues HBDC
    specimens were cut into serial histologic
    sections. Information were inputted into computer after the
    processese of scanning and recognizing. By the techniques of
    reconstruction, the 3D stereo HBDC models were retrieved
    
    
    
    from 2D digita1 data. Furthermore, we developed a cDNA
    array representing 2048cDNA clusters, to profi1e the gene
    expression patterns in 3 sets of c1inica1 HBDC samp1es
    inc1uding paired cancer and non--tumorous biliary duct.
    Results: 1. HBDC comprising severa1 components can be
    ana1yzed as a who1e or each structure may be viewed
    s eparat e 1 y.
    2. It a1so show the re1ationships between the constituent
    parts such as bi1e duct and tumor.
    3. The 3D mode of spread a1ong nerve revealed that the
    tumor stayed sporadica1ly in perineural space.
    4. 1t was observed that 246 genes were differentia11y
    expressed in paired cancer and distal non--tumorous bi1e
    duct tissues. includes l64 down--regu1ated genes, 82 up-
    regu1ated genes. the 246 genes represent l5
    categori zations: l7 oncogenes, 4 ionic channe1 genes, 16
    cyc1 in genes, l2 cytoske1eton g3nes, 3 apoptosis genes, 4 DNA
    synthesis and recombination genes, l7 DNA transcription
    genes, 6 ce11 recipient genes, 1l inununization corre1ated
    genes, 33 metabo1 ism genes, 30 protein translate and
    synthesis genes, 10 growth correlated genes, 58 cel1 signa1
    and transducin genes, 57 other genes.
    
    Conclusion: 1. The method of the microcoInPuter aided 3D
    reconstruction was suc.t5sfu11y estab1ished in HBDC.
    2. The reconstructed 3D image showed HBDC realistica11y.
    3. A11 structures reconstructed could be disp1ayed alone, in
    any group or total1y and rotated in 3D space or rotated
    continuous1y at different speed.
    4. It can be app1ied in se1ecting the pattern of "radica1"
    resection and judge the resu1t of operation from the spread
    of the cancer ce11s a1ong the bile duct and nerves.
    5. Such a series images of HBDC might be app1icated as a
    cornerstone of the computer aid instruction in surgery.
    6. The differentia11y expressed genes was successfu11y
    screened in HBDC.
引文
1. 黄志强 主编.黄志强胆道外科学.济南:山东科学技术出版社, 1998, 795-856.
    2. Desmet VJ. Congenital diseases of the intrahepaticbile ducts:Variations on the theme ductal plate malformatiofls.Hepatology, 1992, 16:1069-1083.
    3. Desmet VJ. Ludwig Symposium on biliary disorders-parti, Pathogenesis of ductal plate abnormalities. Mayo Clin Proc, 1998,73:80-89.
    4. Severn CB.A morphological study of the development of the human liver :establishment of liver parenchymal extrahepatic ducts and associated venous channels. Am J Anat, 1992, 133:85-108.
    5. Vijayan V, Tan C E L. Developing human biliary system in three dimensions. Anat Rec 1997,249:389-398.
    6. Tan C E L, Moscoso GJ. The developing human biliary system at the portahepatis level between 29 days and 8 weeks of gestation A way to understanding biliary atresia part2. Path Int, 1994, 44:587-599.
    
    
    7. Tan C E L, Moscoso GJ. The developing human biliary system at the portahepatis level between 11and 15 weeks of gestation A way to understanding biliary atresia Part2. Path Int, 1994, 44:600-610.
    8. Woolf GM, Vierling JM. Disappearing intrahepatic bile ducts the syndromes and their mechanisms. Semin Liver Dis, 1993, 13:261-275.
    9. Van Eyken P, Sciot R, Callea F, et al. The development of the intrahepatic bile ducts in man:a keratin immunohistochemical study. Hepatology, 1988, 8:1586-1596.
    10. Terada T, Kitamura Y, Nakanuma Y, et al.Normal and abnormal development of the human intrahepatic biliary system:a review. Tohoku J Exp Med, 1997, 181:19-32.
    11. Moriya H, Akatsuka A, Tanaka, Yohtani Y, et al. Hepatic cytokeratin changes in obstructive jaundice:before and after biliary drainage. Tokai J Exp Clin Med, 1995, 20:45-51.
    12. Tan C E L, Chan VSW, Yong R, Vijayan V, et al. Distortion of TGF peptide immunolocalisation in biliary atresia :comparison with the normal pattern in the developing human intrahepatic bile duct system. Path Int, 1995,45:815-824.
    13. Terada T, Ohta T, Nakanuma Y. Expression of transforming growth factor and its receptor in human liver development and maturation. Virchows Arch, 1994, 424:669-685.
    
    
    14. Terada T, Nakanuma Y. Expression of tenascin type collagen and laminin during intrahepatic bile duct development and in intrahepatic chtrahepatic cholangiocarcinoma. Histopathology 1994, 25;143-150.
    15. Liotta L A,Steeg P S, Stetler W G. Cancer metastasis and angiogenesis:an imbalance of positive and negative regulation. Cell, 1991, 64:327-336.
    16. Westover, L., "Footprint Evaluation for Volume Rendering" , Computer Graphics, 24(4) :367-376, Augus-t 1990.
    17. Roni Yagel, Towards Real Time Volume Rendering, from the Internet.
    18. Hangnail Miao, Kehan Han, Fangliu Go, Astrologic estimates of glomerular volume in unilaterally nephrectomized rats analytical and quantitative cytology.Histology Feb/1999.
    19. Wingo PA, Bolden S, Tong T, Parker SL, Martin LM. Cancer statistics for African Amercicans, 1996. CA:A Cancer J for Clinicians, 1996;46(2) :113-125.
    20. Grace LL, Greenberg ER. Changes in prostate cancer incidence and treatment in USA. Lancet, 1994;343:251-253.
    21. Porter T, Duff T. Compositing digital images. Computer Graphics, 1984, 18(3) :253-259.
    22. S. Bakshi and Y.H.Yang, "Shape from shading for nonlambertian surfaces. " in proc. IEEE Int. Conf. Image Processing, Audtin TX, 1994, vol. 2, pp. 130-134, Nov. 1994.
    
    
    23. Rubin GD, Beaulieu CF, Argiro V, et al. Perspective volume rendering for endoscoptic imaging. Radiology 1996;199:321-330.
    24. Vining DJ. Virtual endoscopy:is it reallity?Radiology 1996;200:30-31.
    25. Soto JA, Yucel EK, Barish MA, Chuttani R, Ferrucci JT. MR cholangiopancreatography after unsuccessful or incomplete ERCP. Radiology 1996;199:91-98.
    26. Rosenfield K, Losordo DW, Ramaswamy K, et al. Three-dimensional restruction of human coronary and peripheral arteries from images recorded during two-dimensional intravascular ultrasound examination. Circulation, 1991, 84:1938.
    27. Brink JA, Lim JT, Wang G, et al. Technical optimization of spiral CT for depiction of renal artery stenosis. Radiology, 1995,194:157-163.
    28. Heffeman PB,Robb RA. A new method for shaded surface display of biological and medical image. IEEE Trans Med Imag, 1985, MI 4:25.
    29. Rankin RN, Fenster A, Downey DB,et al. Three-dimensional sonographic reconstruction :technique and diagnostic applications.AJR, 1993, 161:695-702.
    30. Fleischmann D, Ringl H, Schof1 H, et al. Three-dimensional helical CT cholangiography in patients with
    
     suspected obstructive billiary disease. Radiology, 1996,198:861-868.
    31. Campani R, Bottinelli 0, Calliade F, et al. Three-dimensional imaging in ultrasound. Eur J Radiol, 1998, 27:183-187.
    32. WeningWJ, Meng S, Streicher J, et al.A new episcopic method for rapid 3-D reconstruction.Anat Embryol Berl, 1998, 197:341-348.
    33. Fenster A, Lee D, Sherebrin S, et al. Three-dimensional ultrasound imaging of the vasculature. Ultrasonics, 1998, 36:629-633.
    34. Evers H, Mayer A, Engelmann U, et al. The electron microscopy outreach program. Int J Med Inf, 1999, 53:265-275.
    35. Matsumura T, Sato Matsumura KC, Yokota T, et al. Volumetric analysis of CT orbital images. J Cutan Pathol, 1999, 26:197-200.
    36. Young RC, Hession RO. Three-dimensional structure of the smooth muscle in the term pregnant human uterus. Obstet Gynecol, 1999, 93:94-99.
    37. Han K, Lu PQ, Ma YH, et al. Reconstruction of three-dimensional digital teeth. Chin J Dent Res, 1998, 1:22-25.
    38. Haas A, Fischer MS. Three-dimensional reconstruction of histological sections using modern product-design software. Anat Rec, 1997, 249:510-516.
    
    
    39. Vijayan V, Tan CE.Developing human biliary system in three dimensions. Anat Rec, 1997, 249:389-398.
    40. Sosinsky GE, Baker TS, Hand G, et al. Three-dimensional reconstruction in dermatopathology a personal computer-based system.J Struct Biol, 1999, 125:246-252.
    41. Chuaqui RF, Cole KA, Emmert BM, et al. Histopathology and molecular biology of ovarian epithelial tumors. Ann Diagn Pathol, 1998, 2(3) : 195-207.
    42. Sgroi DC, Teng S, Robinson G, et al. In vivo gene expression profile analysis of human breast cancer progression. Cancer Res, 1999, 59(22) : 5656-5661.
    43. Golub TR, Slonim DK, Tamayo P, et al. Molecular classification of cancer:class discovery and class prediction by gene expression monitoring. Science, 1999, 286(15) :531-537.
    44. Dudoit S.Statistical methods for the characterisation of tumour types using cDNA microarray data. Nat Genet, 1999, 11:42.
    45. Livesey FJ, Gustincichy S, Steffen M, et al. Clustering cell types and identifying cell type sarcomas by microarray technology. Nat Genet, 1999, 11:78.
    46. Ari M, Jonathan DL.Deconstructing a diseaseRAR, its fusion partners and their roles in the pathogenesis of acute promyelocytic. Blood, 1999, 93:3167.
    
    
    47. Dyck JA, Maul GG, Miller WH, et al.A novel macromolecular structure is a target of the promyelocyte retinoic acid receptor oncoprotein. Cell, 1994, 76:333.
    48. Chen, C. J., Yu, et al. Epidemiological characteristics and risk factors of hepatocellular carcimoma. Gastroenterol. Hepatol., 1997, 12:294-308.
    49. Luo, K. X.Hepatitis B Basic biology and clincal scienses. Beijing:Peoples Medical Publishing House, 1997, 435-445.
    50. Hui, A. M., Makuuchi, et al.Cell cycle regulators and human hepatocarcinogenesis. Hepatogastroenterology, 1998, 45:1635-1642.
    51. Bjersing, L., Andersson, et al. Easy detection of mutations in acute intermittent porphyria and hepatocellular carcinoma on paraffin-embedded tissue. J. Intern. Med, 1993, 234:339-340.
    52. Koyama, Nagai, Bando, et al. Localization of a target region of allelic loss to a interval on chromosome in hepatocellular carcinoma. Jpn. J. Cancer Res, 1999, 90:951-956.
    53. Tsopnomichalou, M., Kouroumalis, et al. Loss of heterozygosity and microsatellite instability in human non-neoplastic hepatic lesions. Liver,1999,19:305-311.
    54. Hammond, C., Jeffers, et al. Multiple genetic alterations, a new suppressor region, and potential gender differences
    
     in human hepatocellular carcinoma. Hepatology, 1999, 29:1479-1485.
    55. Satoh, Daigo, Furukawa, et al.AXINI mutations in hepatocellular carcinomas and growth suppression in cancer cells by virus-mediated transfer of AXINI. Nat Gene, 2000, 24:245-250.
    56. 钟德午,杨竹林,黄忠诚,等.胆管恶性肿瘤nm-23蛋白的表达及意义.临床肝胆病杂志 , 1998, 14:1.
    57. 朱武凌,李钦选.癌基因C-erb-B-2与肿瘤,临床与实验病理学杂志 , 1998, 14:79.
    58. Toretshy JA, Consalez GG, Sardella M, et al. Changes in gene expression during the growth arrest of HepG2 hepatoma cells induced by reducing agents or TGF. Oncogene, 1998, 16:2935.
    59. Harnois DM, Que FG, Celli A, et al.Bc1-2 is overexpressed and alters the threshold for apoptosis in cholangiocarcinoma cell line. Hepatol, 1997, 26:884.
    60. Sastomi E, Tokunaga O, Miyazaki K. Spontanous apoptosis in gallbladder carcinoma, relationships with clinicopathologic factors,expression of E-cadherin, bcl-2 protooncogene, and p53 oncosuppressor gene. Cancer 1996,78:2101.
    61. Levi S, Urbano-Spizua A, Gill R, et al.Multiple K-ras codon 12 mutations in cholangiocarcinomas demonstrated with a
    
     sensitive polymerase chain reaction technique. Cancer Res, 1991,51:3497.
    62. Hahn SA, Bartsch D, Schroers A, et al. Mutations of DPC4/Smad4 gene in biliary tract carcinoma. Cancer Res, 1998,58:1124.
    63. Wang K, Can L, Jeffery E, et al. Monitoring gene expression profile changes in ovarian carcinomas using cDNA microarray. Gene, 1999, 229:101-108.
    64. Gamm DM, Baude EJ, Uhler MD. The major catalytic subunit isoforms of cAMP-dependent protein kinase have distinct biochemical properties in vitro and in vivo. J Biol Chem, 1996, 271:15736-15742.
    65. Sven JT, Nygard Hans KR, Laerum H, et al. Dynamic determination of human glioma invasion in vitro.J Neurosurg, 1998, 89:441-447.
    66. Faith GD, Sally F, James G, et al. Survival rates in patients with primary malignant brain tumors stratified by patient age and tumor histological type:an analysis based on surveillance, epidemicology and end results data, J Neurosurg, 1998, 88:1-10.
    67. Benedetti S, Pirola B, Polio B, et al.Gene therapy of experimental brain tumors using neural progenitor cells. Nat Med, 2000, 6 (4) :447-450.
    
    
    68. Hacia JG, Makalowskiw, Edgemon K, et al. Evolutionary sequence comparisons using high-density oligonucleotide arrays. Nat Genet, 1998, 18(2) :155-158.
    69. Pietsch T, Wiestler OD. Molecular neuropathology of astrocytic brain tumors. J Neurooncol, 1997, 35(3) :211-222.
    70. O Reilly MS, Boehm T, Shing Y, et al.Endostatin:an endogenous inhibitor of angiogenesis and tumor growth. Cell, 1997, 88(2) :277-285.
    71. Lander ES. Array of hope. Nat Genet, 1999, 21(1) : 3-4.
    72. Ramsay G. DNA chips:state-of-the art. Nat Biotechnol, 1998, 16(1) :40-44.
    73. Ermolaeva O, Rastogi M, Pruitt KD, et al. Data management and analysis for gene expression arrays. Nat Genet, 1998, 20(1) : 19-23.
    74. Bucher P, Regulatory elements and expression profiles. Curr Opin Struct Biol, 1999, 9(3) :400-407.
    75. Schena M, Shalon D, Heller R, et al.Parallel human genome analysis:microarray-based expression monitoring of 1,000 genes. Proc Nat1 Acad Sci USA, 1996, 93(8) : 10614-10619.
    76. Welford SM, Gregg J, Chen E, et al. Detection of differentially expressed genes in primary tumor tissues using representational differences analysis coupled to microarray hybridization. Nucleic Acids Res, 1998, 26(12) : 3059-3065.
    
    
    77. Eisen MB, Spellman PT, Brown PO, et al. Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA, 1998, 95(25) : 14863-14868.
    78. Galitski T, Saldanha AJ, Styles CA, et al. Ploidy regulation of gene expression. Science, 1999, 285(5425) :251-254.
    79. Derisi J, Penland L, Brown PO, et al. Use of a cDNA microarray to analyse gene expresion patterns in human cancer. Nat Genet, 1996,14(4) : 457-460.
    80. Khan J, Saal LH, Bittner ML, et al.Gene expression profiling in cancer using cDNA microarrays. Electrophoresis, 1999, 20(2) :223-229.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700