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Biomedical subjects

Adam B Olshen

Publications and source records attributed to Adam B Olshen.

6 recordsLinked to original sources

Array-based comparative genomic hybridization for genome-wide screening of DNA copy number in bladder tumors.

Genome-wide copy number profiles were characterized in 41 primary bladder tumors using array-based comparative genomic hybridization (array CGH). In addition to previously identified alterations in large chromosomal regions, alterations were identified in many small genomic regions, some with high-level amplifications or homozygous deletions. High-level amplifications were detected for 192 genomic clones, most frequently at 6p22.3 (E2F3), 8p12 (FGFR1), 8q22.2 (CMYC), 11q13 (CCND1, EMS1, INT2), and 19q13.1 (CCNE). Homozygous deletions were detected in 51 genomic clones, with four showing deletions in more than one case: two clones mapping to 9p21.3 (CDKN2A/p16, in nine cases), one at 8p23.1 (three cases), and one at 11p13 (two cases). Significant correlations were observed between copy number gain of clones containing CCNE1 and gain of ERBB2, and between gain of CCND1 and deletion of TP53. In addition, there was a significant complementary association between gain of CCND1 and gain of E2F3. Although there was no significant relationship between copy number changes and tumor stage or grade, the linked behavior among genomic loci suggests that array CGH will be increasingly important in understanding pathways critical to bladder tumor biology.

Chromosomes, Human, Pair 9↗

Inhibition of heat shock protein 90 function down-regulates Akt kinase and sensitizes tumors to Taxol.

The phosphatidylinositol 3'-kinase/Akt pathway is activated frequently in human cancer, and has been implicated in tumor proliferation, cell survival, and resistance to apoptotic stimuli. Akt forms a complex with heat shock protein (Hsp) 90 and Cdc37, and inhibitors of Hsp90 cause Akt degradation. 17-allylamino-17-demethoxygeldanamycin (17-AGG) is an Hsp90 inhibitor currently in Phase I clinical trial. 17-AAG inhibits Akt activation and expression in tumors, and has antitumor activity in breast cancer xenografts. The combination of 17-AAG and Taxol is synergistic, and 17-AAG sensitizes tumor cells to Taxol-induced apoptosis in a schedule-dependent manner. Transfection of membrane-bound p110 PI3k prevented 17-AAG inactivation of Akt and abrogated the enhancement of Taxol-induced apoptosis caused by the drug. 17-AAG and Taxol could be administered together at their maximally tolerated doses to tumor-bearing mice. Doses of 17-AAG that induce HER2 degradation and cause Akt inactivation but have no single agent activity were effective in sensitizing tumors to Taxol. Enhancement was schedule-dependent and maximal when Taxol and 17-AAG were administered on the same day. These results suggest that Hsp90 inhibitors can effectively suppress Akt activity in animal models of human cancer at nontoxic doses, thus sensitizing tumor cells to proapoptotic stimuli.

Animals↗

Insights into extramedullary tumour cell growth revealed by expression profiling of human plasmacytomas and multiple myeloma.

Malignant plasma cells generally grow within the bone marrow microenvironment; however, they can also grow at extramedullary sites. To identify the tumour-specific alterations required for extramedullary growth, we analysed the expression profiles of a series of plasma cell neoplasms including primary multiple myeloma (MM), plasma cell leukaemia (PCL) and extramedullary plasmacytoma (EPC). Hierarchical clustering analysis segregated the EPCs from the remaining samples, and revealed an expression pattern associated with angiogenesis in the EPCs, involving higher expression of the genes TIE2, NOTCH3, CD31 and endoglin. Direct comparison of EPC samples with the MM samples identified 156 genes significantly upregulated and 85 genes significantly downregulated (P < 0.005, t-test) in the EPCs, including several genes involved in angiogenesis and adhesion that were upregulated (including angiopoietin 1, SPARC, Notch3 and fibronectin 1). Immunohistochemical staining demonstrated CD31 and endoglin protein expression in the EPC tumour cells, which are both angiogenesis related and could confer malignant plasma cells with the ability to grow outside the normal bone marrow environment. Defining how malignant plasma cell growth is regulated in the bone marrow versus at extramedullary sites will help to delineate the mechanisms underlying the dependence of tumour cell growth on angiogenesis and cell adhesion.

Cell Division↗

Genomic copy number analysis of non-small cell lung cancer using array comparative genomic hybridization: implications of the phosphatidylinositol 3-kinase pathway.

Genomic abnormalities at 348 loci encoding genes that may contribute to lung cancer transformation and progression were assessed using array comparative genomic hybridization in 21 squamous carcinomas (SqCas) and 16 adenocarcinomas (AdCas). Hierarchical clustering showed a clear pattern of gains and losses for the SqCas, whereas the pattern for AdCas was less distinct. Cross-validated classification using a K-nearest-neighbor assigned, on average, 32 of 37 samples to their proper histological subtype. The most noticeable differences between SqCas and AdCas were gain of chromosome 3q22-q26 and loss of chromosome 3p. These occurred almost exclusively in SqCas. The region of recurrent increase is approximately 30 Mb in extent, ranging from EVI1 to TFRC. PIK3CA, the alpha catalytic subunit of phosphatidylinositol 3-kinase (PI3K), is in this region. The PIK3CA copy number increase was validated using fluorescence in situ hybridization to lung cancer tissue microarrays. Activity of the downstream PI3K effector protein kinase B (PKB) was higher in SqCas than in AdCas and was correlated with PIK3CA copy number (r = 0.75), suggesting that these copy number increases contribute to activation of PI3K signaling in SqCas of the lung.

Adenocarcinoma↗

Array-based comparative genomic hybridization for the differential diagnosis of renal cell cancer.

Array-based comparative genomic hybridization (CGH) uses multiple genomic clones arrayed on a slide to detect relative copy number of tumor DNA sequences. Application of array CGH to tumor specimens makes genetic diagnosis of cancers possible and may help to differentiate relevant subsets of tumors, biologically and clinically, which would allow better prognostic and therapeutic decision making. In this study, we have used array-based CGH to detect DNA copy number alterations in distinct types of renal cell carcinomas for diagnostic purposes. We were able to correctly diagnose 33 of 34 malignant tumors by automated computational means and to group together eight benign neoplasms and normal kidney samples. These results indicate that array-based CGH is capable of diagnosing the vast majority of renal cell carcinomas based on their genetic profiles.

Carcinoma, Renal Cell↗

Deriving quantitative conclusions from microarray expression data.

MOTIVATION: The last few years have seen the development of DNA microarray technology that allows simultaneous measurement of the expression levels of thousands of genes. While many methods have been developed to analyze such data, most have been visualization-based. Methods that yield quantitative conclusions have been diverse and complex. RESULTS: We present two straightforward methods for identifying specific genes whose expression is linked with a phenotype or outcome variable as well as for systematically predicting sample class membership: (1) a conservative, permutation-based approach to identifying differentially expressed genes; (2) an augmentation of K-nearest-neighbor pattern classification. Our analyses replicate the quantitative conclusions of Golub et al. (1999; Science, 286, 531-537) on leukemia data, with better classification results, using far simpler methods. With the breast tumor data of Perou et al. (2000; Nature, 406, 747-752), the methods lend rigorous quantitative support to the conclusions of the original paper. In the case of the lymphoma data in Alizadeh et al. (2000; Nature, 403, 503-511), our analyses only partially support the conclusions of the original authors. AVAILABILITY: The software and supplementary information are available freely to researchers at academic and non-profit institutions at http://cc.ucsf.edu/jain/public

Breast Neoplasms↗