Nanomolecular histopathology for renal tumor classification

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 7 VOLS, Issue , 2005, Pages 723-726

  Young, Andrew N ^b   Amin, Mahul B ^b   Petros, John A ^b   Natan, Michael J ^c   Nie, Shuming ^b   Wang, May D ^a,d  

^a IEEE   (United States)

^b EMORY UNIVERSITY   (United States)

^c Nanoplex Technologies Inc   (United States)

^d GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBODIES; GENES; HISTOLOGY; IMMUNOLOGY; NANOSTRUCTURED MATERIALS; OPTICAL MICROSCOPY; RAMAN SCATTERING;

GENETIC ABNORMALITIES; HETEROGENEOUS MORPHOLOGY; NANOMOLECULAR HISTOPATHOLOGY; RENAL TUMORS;

TUMORS;

EID: 33846924348     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2005.1616516     Document Type: Conference Paper

References (44)

1. Jemal A, Tiwari RC, Murray T, Ghafoor A, Samuels A, Ward E, Feuer EJ, Thun MJ: Cancer Statistics, 2004. CA Cancer J Clin 2004, 54:8-29
2. Bergstrom A, Lindblad P, Wolk A: Birth weight and risk of renal cell cancer. Kidney Int 2001, 59:1110-1113
3. Chow W-H, Gridley G, Fraumeni JF, Jarvholm B: Obesity, Hypertension, and the Risk of Kidney Cancer in Men. N Engl J Med 2000, 343:1305-1311
4. Parkin DM, Pisani P, Lopez AD, Masuyer E: At least one in seven cases of cancer is caused by smoking. Global estimates for 1985. Int J Cancer 1994, 59:494-504
5. Homma Y, Kawabe K, Kitamura T, Nishimura Y, Shinohara M, Kondo Y, Saito I, Minowada S, Asakage Y: Increased incidental detection and reduced mortality in renal cancer-recent retrospective analysis at eight institutions. Int J Urol 1995, 2:77-80
6. Gieseg MA, Cody T, Man MZ, Madore SJ, Rubin MA, Kaldjian EP: Expression profiling of human renal carcinomas with functional taxonomic analysis. BMC Bioinformatics 2002, 3:26
7. Zisman A, Pantuck AJ, Wieder J, Chao DH, Dorey F, Said JW, deKernion JB, Figlin RA, Belldegrun AS: Risk group assessment and clinical outcome algorithm to predict the natural history of patients with surgically resected renal cell carcinoma. J Clin Oncol 2002, 20:4559-4566
8. Zisman A, Pantuck AJ, Dorey F, Said JW, Shvarts O, Quintana D, Gitlitz BJ, deKernion JB, Figlin RA, Belldegrun AS: Improved prognostication of renal cell carcinoma using an integrated staging system. J Clin Oncol 2001, 19:1649-1657
9. Pantuck AJ, Zeng G, Belldegrun AS, Figlin RA: Pathobiology, prognosis, and targeted therapy for renal cell carcinoma: exploiting the hypoxia-induced pathway. Clin Cancer Res 2003, 9:4641-4652
10. Eble JN, Sauter G, Epstein JI, Sesterhenn IA: Tumors of the kidney. In WHO Classification of Tumours: Tumours of the Urinary System and Male Genital Organs. Lyon, France, IARC Press, 2004
11. Boer JM, Huber WK, Sultmann H, Wilmer F, von Heydebreck A, Haas S, Korn B, Gunawan B, Vente A, Fuzesi L, Vingron M, Poustka A: Identification and classification of differentially expressed genes in renal cell carcinoma by expression profiling on a global human 31,500-element cDNA array. Genome Res 2001, 11:1861-1870
12. Young AN, Amin MB, Moreno CS, Lim SD, Cohen C, Petros JA, Marshall FF, Neish AS: Expression profiling of renal epithelial neoplasms: a method for tumor classification and discovery of diagnostic molecular markers. Am J Pathol 2001, 158:1639-1651
13. Young AN, de Oliveira Salles PG, Lim SD, Cohen C, Petros JA, Marshall FF, Neish AS, Amin MB: Beta defensin-1, parvalbumin, and vimentin: a panel of diagnostic immunohistochemical markers for renal tumors derived from gene expression profiling studies using cDNA microarrays. Am J Surg Pathol 2003, 27:199-205
14. Yao M, Tabuchi H, Nagashima Y, Baba M, Nakaigawa N, Ishiguro H, Hamada K, Inayama Y, Kishida T, Hattori K, Yamada-Okabe H, Kubota Y: Gene expression analysis of renal carcinoma: adipose differentiation-related protein as a potential diagnostic and prognostic biomarker for clear-cell renal carcinoma. J Pathol 2005, 205:377-387
15. Takahashi M, Yang XJ, Sugimura J, Backdahl J, Tretiakova M, Qian CN, Gray SG, Knapp R, Anema J, Kahnoski R, Nicol D, Vogelzang NJ, Furge KA, Kanayama H, Kagawa S, Teh BT: Molecular subclassification of kidney tumors and the discovery of new diagnostic markers. Oncogene 2003, 22:6810-6818
16. Skubitz KM, Skubitz AP: Differential gene expression in renal-cell cancer. J Lab Clin Med 2002, 140:52-64
17. Furge KA, Lucas KA, Takahashi M, Sugimura J, Kort EJ, Kanayama HO, Kagawa S, Hoekstra P, Curry J, Yang XJ, Teh BT: Robust classification of renal cell carcinoma based on gene expression data and predicted cytogenetic profiles. Cancer Res 2004, 64:4117-4121
18. Callagy G, Cattaneo E, Daigo Y, Happerfield L, Bobrow LG, Pharoah PD, Caldas C: Molecular classification of breast carcinomas using tissue microarrays. Diagn Mol Pathol 2003, 12:27-34
19. Oliva E, Young RH, Amin MB, Clement PB: An immunohistochemical analysis of endometrial stromal and smooth muscle tumors of the uterus: a study of 54 cases emphasizing the importance of using a panel because of overlap in immunoreactivity for individual antibodies. Am J Surg Pathol 2002, 26:403-412
20. Mulvaney SP, Musick MD, Keating CD, Natan MJ: Glass-coated, analyte-tagged nanoparticles: A new tagging system based on detection with surface-enhanced Raman scattering. Langmuir 2003, 19:4784-4790
21. Natan MJ: Surface enhanced spectroscopy-active composite nanoparticles. US Patent 6,514,767 2003
22. Campion A, Kambhampati P: Surface-enhanced Raman Scattering. Chemical Society Reviews 1998, 27:241-249
23. Moskovits M: Surface-enhanced spectroscopy. Reviews of Modern Physics 1985, 57:783-826
24. Moyer PJ, Schmidt J, Eng LM, Meixner AJ, Sandmann GW, Dietz H, Plieth W: Surface enhanced raman scattering spectroscopy of carbon domains on individual Ag nanoparticles on a 25 ms time scale. Journal of the American Chemical Society 2000, 122:5409-5410
25. Emory SR, Haskins WE, Nie S: Direct observation of size-dependent optical enhancement in single metal nanoparticles. Journal of the American Chemical Society 1998, 120:8009-8010
26. Nie S, Emory SR: Probing single molecules and single nanoparticles by surface-enhanced Raman scattering. Science 1997, 275:1102-1106
27. Kneipp K, Wang Y, Kneipp H, Perelman LT, Itzkan I, Dasari RR, Feld MS: Single-molecule detection using surface-enhanced Raman scattering (SERS). Physical Review Letters 1997, 78:1667-1670
28. Michaels AM, Nirmal M, Brus LE: Surface enhanced Raman spectroscopy of individual rhodamine 6G molecules on large Ag nanocrystals. Journal of the American Chemical Society 1999, 121:9932-9939
29. Xu H, Bjerneld EJ, Kail M, Börjesson L: Spectroscopy of single hemoglobin molecules by surface enhanced Raman scattering. Physical Review Letters 1999, 83:4357-4360
30. Goulet PJ, Pieczonka NP, Aroca RF: Overtones and combinations in single-molecule surface-enhanced resonance Raman scattering spectra. Analytical Chemistry 2003, 75:1918-1923
31. Liz-Marzan LM, Giersig M, Mulvaney P: Synthesis of Nanosized Gold-Silica Core-Shell Particles. Langmuir 1996, 12:4329-4335
32. Freeman RG, Doering WE, Walton ID, Penn SG, Davis G, Wong F, Natan MJ: Detection of biomolecules using nanoparticle surface enhanced Raman scattering tags. SPIE 2005, In Press
33. Aslam M, Dent A: Bioconjugation: Protein Coupling Techniques for the Biomedical Sciences. New York, NY, Grove's Dictionaries Inc, 1998
34. Schuetz AN, Yin-Goen Q, Amin MB, Moreno CS, Cohen C, Hornsby CD, Yang WL, Petros JA, Issa MM, Pattaras JG, Ogan K, Marshall FF, Young AN: Molecular Classification of Renal Tumors by Gene Expression Profiling. J Mol Diagn 2005, 7:206-218
35. Amin MB, Amin MB, Tamboli P, Javidan J, Stricker H, de-Peralta Venturina M, Deshpande A, Menon M: Prognostic impact of histologic subtyping of adult renal epithelial neoplasms: an experience of 405 cases. Am J Surg Pathol 2002, 26:281-291
36. Tickoo SK, Lee MW, Eble JN, Amin M, Christopherson T, Zarbo RJ, Amin MB: Ultrastructural observations on mitochondria and microvesicles in renal oncocytoma, chromophobe renal cell carcinoma, and eosinophilic variant of conventional (clear cell) renal cell carcinoma. Am J Surg Pathol 2000, 24:1247-1256
37. Gordon MS: Novel antiangiogenic therapies for renal cell cancer. Clin Cancer Res 2004, 10:6377S-6381S
38. Lam JS, Belldegrun AS, Figlin RA: Advances in immune-based therapies of renal cell carcinoma. Expert Review of Anticancer Therapy 2004, 4:1081-1096
39. Alizadeh AA, Eisen MB, Davis RE, Ma C, Losses IS, Rosenwald A, Boldrick JC, Sabet H, Tran T, Yu X, Powell JI, Yang L, Marti GE, Moore T, Hudson J, Jr., Lu L, Lewis DB, Tibshirani R, Sherlock G, Chan WC, Greiner TC, Weisenburger DD, Armitage JO, Warnke R, Levy R, Wilson W, Grever MR, Byrd JC, Botstein D, Brown PO, Staudt LM: Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 2000, 403:503-511
40. Xu J, Stolk JA, Zhang X, Silva SJ, Houghton RL, Matsumura M, Vedvick TS, Leslie KB, Badaro R, Reed SG: Identification of differentially expressed genes in human prostate cancer using subtraction and microarray. Cancer Res 2000, 60:1677-1682
41. Khan J, Wei JS, Ringner M, Saal LH, Ladanyi M, Westermann F, Berthold F, Schwab M, Antonescu CR, Peterson C, Meltzer PS: Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat Med 2001, 7:673-679
42. Wang MD, et al: Using Optimization Methods in Gene Expression Pattern Classification, USPTO GTRC-No.2903, Office of Technology Transfer, Georgia Tech, 2003
43. Wang MD, et al: Multi-Scheme Optimal Decision Making System for Cancer Molecular Genomic and Proteomic Data Analysis, USPTO GTRC-No. 2901, Office of Technology Transfer, Georgia Tech, 2003
44. Zeeberg BR, Feng W, Wang G, Wang MD, Fojo AT, Sunshine M, Narasimhan S, Kane DW, Reinhold WC, Lababidi S, Bussey KJ, Riss J, Barrett JC, Weinstein JN: GoMiner: a resource for biological interpretation of genomic and proteomic data. Genome Biol 2003, 4:R28