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1,222 results on '"Curley, Steven A."'

2. A recellularized human colon model identifies cancer driver genes

Author

Chen, Huanhuan Joyce, Wei, Zhubo, Sun, Jian, Bhattacharya, Asmita, Savage, David J, Serda, Rita, Mackeyev, Yuri, Curley, Steven A, Bu, Pengcheng, Wang, Lihua, Chen, Shuibing, Cohen-Gould, Leona, Huang, Emina, Shen, Xiling, Lipkin, Steven M, Copeland, Neal G, Jenkins, Nancy A, and Shuler, Michael L

Published
2016

3. RAS mutation status predicts survival and patterns of recurrence in patients undergoing hepatectomy for colorectal liver metastases.

Author

Vauthey, Jean-Nicolas, Zimmitti, Giuseppe, Kopetz, Scott, Shindoh, Junichi, Chen, Su, Andreou, Andreas, Curley, Steven, Aloia, Thomas, and Maru, Dipen

Subjects
Biomarkers, Tumor, Class I Phosphatidylinositol 3-Kinases, Colorectal Neoplasms, Follow-Up Studies, GTP Phosphohydrolases, Hepatectomy, Humans, Liver Neoplasms, Lung Neoplasms, Mass Spectrometry, Membrane Proteins, Mutation, Neoadjuvant Therapy, Neoplasm Recurrence, Local, Phosphatidylinositol 3-Kinases, Proto-Oncogene Proteins, Proto-Oncogene Proteins B-raf, Proto-Oncogene Proteins p21(ras), Retrospective Studies, Survival Analysis, Treatment Outcome, ras Proteins
Abstract

OBJECTIVE: To determine the impact of RAS mutation status on survival and patterns of recurrence in patients undergoing curative resection of colorectal liver metastases (CLM) after preoperative modern chemotherapy. BACKGROUND: RAS mutation has been reported to be associated with aggressive tumor biology. However, the effect of RAS mutation on survival and patterns of recurrence after resection of CLM remains unclear. METHODS: Somatic mutations were analyzed using mass spectroscopy in 193 patients who underwent single-regimen modern chemotherapy before resection of CLM. The relationship between RAS mutation status and survival outcomes was investigated. RESULTS: Detected somatic mutations included RAS (KRAS/NRAS) in 34 (18%), PIK3CA in 13 (7%), and BRAF in 2 (1%) patients. At a median follow-up of 33 months, 3-year overall survival (OS) rates were 81% in patients with wild-type versus 52.2% in patients with mutant RAS (P = 0.002); 3-year recurrence-free survival (RFS) rates were 33.5% with wild-type versus 13.5% with mutant RAS (P = 0.001). Liver and lung recurrences were observed in 89 and 83 patients, respectively. Patients with RAS mutation had a lower 3-year lung RFS rate (34.6% vs 59.3%, P < 0.001) but not a lower 3-year liver RFS rate (43.8% vs 50.2%, P = 0.181). In multivariate analyses, RAS mutation predicted worse OS [hazard ratio (HR) = 2.3, P = 0.002), overall RFS (HR = 1.9, P = 0.005), and lung RFS (HR = 2.0, P = 0.01), but not liver RFS (P = 0.181). CONCLUSIONS: RAS mutation predicts early lung recurrence and worse survival after curative resection of CLM. This information may be used to individualize systemic and local tumor-directed therapies and follow-up strategies.

Published
2013

5. A physical sciences network characterization of non-tumorigenic and metastatic cells

Author

Agus, David B, Alexander, Jenolyn F, Arap, Wadih, Ashili, Shashanka, Aslan, Joseph E, Austin, Robert H, Backman, Vadim, Bethel, Kelly J, Bonneau, Richard, Chen, Wei-Chiang, Chen-Tanyolac, Chira, Choi, Nathan C, Curley, Steven A, Dallas, Matthew, Damania, Dhwanil, Davies, Paul CW, Decuzzi, Paolo, Dickinson, Laura, Estevez-Salmeron, Luis, Estrella, Veronica, Ferrari, Mauro, Fischbach, Claudia, Foo, Jasmine, Fraley, Stephanie I, Frantz, Christian, Fuhrmann, Alexander, Gascard, Philippe, Gatenby, Robert A, Geng, Yue, Gerecht, Sharon, Gillies, Robert J, Godin, Biana, Grady, William M, Greenfield, Alex, Hemphill, Courtney, Hempstead, Barbara L, Hielscher, Abigail, Hillis, W Daniel, Holland, Eric C, Ibrahim-Hashim, Arig, Jacks, Tyler, Johnson, Roger H, Joo, Ahyoung, Katz, Jonathan E, Kelbauskas, Laimonas, Kesselman, Carl, King, Michael R, Konstantopoulos, Konstantinos, Kraning-Rush, Casey M, Kuhn, Peter, Kung, Kevin, Kwee, Brian, Lakins, Johnathon N, Lambert, Guillaume, Liao, David, Licht, Jonathan D, Liphardt, Jan T, Liu, Liyu, Lloyd, Mark C, Lyubimova, Anna, Mallick, Parag, Marko, John, McCarty, Owen JT, Meldrum, Deirdre R, Michor, Franziska, Mumenthaler, Shannon M, Nandakumar, Vivek, O'Halloran, Thomas V, Oh, Steve, Pasqualini, Renata, Paszek, Matthew J, Philips, Kevin G, Poultney, Christopher S, Rana, Kuldeepsinh, Reinhart-King, Cynthia A, Ros, Robert, Semenza, Gregg L, Senechal, Patti, Shuler, Michael L, Srinivasan, Srimeenakshi, Staunton, Jack R, Stypula, Yolanda, Subramanian, Hariharan, Tlsty, Thea D, Tormoen, Garth W, Tseng, Yiider, van Oudenaarden, Alexander, Verbridge, Scott S, Wan, Jenny C, Weaver, Valerie M, Widom, Jonathan, Will, Christine, Wirtz, Denis, Wojtkowiak, Jonathan, and Wu, Pei-Hsun

Subjects
Biochemistry and Cell Biology, Biological Sciences, Cancer, Breast Cancer, Biotechnology, Aetiology, 2.1 Biological and endogenous factors, Biomarkers, Tumor, Cell Line, Tumor, Cell Movement, Cell Size, Cell Survival, Computer Simulation, Gene Expression Regulation, Neoplastic, Humans, Models, Biological, Neoplasm Metastasis, Neoplasm Proteins, Physical Sciences - Oncology Centers Network
Abstract

To investigate the transition from non-cancerous to metastatic from a physical sciences perspective, the Physical Sciences-Oncology Centers (PS-OC) Network performed molecular and biophysical comparative studies of the non-tumorigenic MCF-10A and metastatic MDA-MB-231 breast epithelial cell lines, commonly used as models of cancer metastasis. Experiments were performed in 20 laboratories from 12 PS-OCs. Each laboratory was supplied with identical aliquots and common reagents and culture protocols. Analyses of these measurements revealed dramatic differences in their mechanics, migration, adhesion, oxygen response, and proteomic profiles. Model-based multi-omics approaches identified key differences between these cells' regulatory networks involved in morphology and survival. These results provide a multifaceted description of cellular parameters of two widely used cell lines and demonstrate the value of the PS-OC Network approach for integration of diverse experimental observations to elucidate the phenotypes associated with cancer metastasis.

Published
2013

6. A physical sciences network characterization of non-tumorigenic and metastatic cells.

Author

Physical Sciences - Oncology Centers Network, Agus, David B, Alexander, Jenolyn F, Arap, Wadih, Ashili, Shashanka, Aslan, Joseph E, Austin, Robert H, Backman, Vadim, Bethel, Kelly J, Bonneau, Richard, Chen, Wei-Chiang, Chen-Tanyolac, Chira, Choi, Nathan C, Curley, Steven A, Dallas, Matthew, Damania, Dhwanil, Davies, Paul CW, Decuzzi, Paolo, Dickinson, Laura, Estevez-Salmeron, Luis, Estrella, Veronica, Ferrari, Mauro, Fischbach, Claudia, Foo, Jasmine, Fraley, Stephanie I, Frantz, Christian, Fuhrmann, Alexander, Gascard, Philippe, Gatenby, Robert A, Geng, Yue, Gerecht, Sharon, Gillies, Robert J, Godin, Biana, Grady, William M, Greenfield, Alex, Hemphill, Courtney, Hempstead, Barbara L, Hielscher, Abigail, Hillis, W Daniel, Holland, Eric C, Ibrahim-Hashim, Arig, Jacks, Tyler, Johnson, Roger H, Joo, Ahyoung, Katz, Jonathan E, Kelbauskas, Laimonas, Kesselman, Carl, King, Michael R, Konstantopoulos, Konstantinos, Kraning-Rush, Casey M, Kuhn, Peter, Kung, Kevin, Kwee, Brian, Lakins, Johnathon N, Lambert, Guillaume, Liao, David, Licht, Jonathan D, Liphardt, Jan T, Liu, Liyu, Lloyd, Mark C, Lyubimova, Anna, Mallick, Parag, Marko, John, McCarty, Owen JT, Meldrum, Deirdre R, Michor, Franziska, Mumenthaler, Shannon M, Nandakumar, Vivek, O'Halloran, Thomas V, Oh, Steve, Pasqualini, Renata, Paszek, Matthew J, Philips, Kevin G, Poultney, Christopher S, Rana, Kuldeepsinh, Reinhart-King, Cynthia A, Ros, Robert, Semenza, Gregg L, Senechal, Patti, Shuler, Michael L, Srinivasan, Srimeenakshi, Staunton, Jack R, Stypula, Yolanda, Subramanian, Hariharan, Tlsty, Thea D, Tormoen, Garth W, Tseng, Yiider, van Oudenaarden, Alexander, Verbridge, Scott S, Wan, Jenny C, Weaver, Valerie M, Widom, Jonathan, Will, Christine, Wirtz, Denis, Wojtkowiak, Jonathan, and Wu, Pei-Hsun

Subjects
Physical Sciences - Oncology Centers Network, Cell Line, Tumor, Humans, Neoplasm Metastasis, Neoplasm Proteins, Cell Movement, Cell Size, Cell Survival, Gene Expression Regulation, Neoplastic, Models, Biological, Computer Simulation, Biomarkers, Tumor, Cancer, Breast Cancer, Biotechnology, 2.1 Biological and endogenous factors
Abstract

To investigate the transition from non-cancerous to metastatic from a physical sciences perspective, the Physical Sciences-Oncology Centers (PS-OC) Network performed molecular and biophysical comparative studies of the non-tumorigenic MCF-10A and metastatic MDA-MB-231 breast epithelial cell lines, commonly used as models of cancer metastasis. Experiments were performed in 20 laboratories from 12 PS-OCs. Each laboratory was supplied with identical aliquots and common reagents and culture protocols. Analyses of these measurements revealed dramatic differences in their mechanics, migration, adhesion, oxygen response, and proteomic profiles. Model-based multi-omics approaches identified key differences between these cells' regulatory networks involved in morphology and survival. These results provide a multifaceted description of cellular parameters of two widely used cell lines and demonstrate the value of the PS-OC Network approach for integration of diverse experimental observations to elucidate the phenotypes associated with cancer metastasis.

Published
2013

15. Generation of an in vitro 3D PDAC stroma rich spheroid model

Author

Ware, Matthew J., Keshishian, Vazrik, Law, Justin J., Ho, Jason C., Favela, Carlos A., Rees, Paul, Smith, Billie, Mohammad, Sayeeduddin, Hwang, Rosa F., Rajapakshe, Kimal, Coarfa, Cristian, Huang, Shixia, Edwards, Dean P., Corr, Stuart J., Godin, Biana, and Curley, Steven A.

Published
2016
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16. Staging of Gastrointestinal Malignancies

Author

Waller, Michelle B., Beaty, Karen A., McIntosh, Angela J., Curley, Steven A., Buzdar, Aman U., editor, Freedman, Ralph S., editor, Ajani, Jaffer A., editor, Lynch, Patrick M., editor, Janjan, Nora A., editor, and Curley, Steven A., editor

Published
2005
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17. Treatment of Primary Liver Cancer

Author

Curley, Steven A., Buzdar, Aman U., editor, Freedman, Ralph S., editor, Ajani, Jaffer A., editor, Lynch, Patrick M., editor, Janjan, Nora A., editor, and Curley, Steven A., editor

Published
2005
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18. Long-Term Survival and Curative-Intent Treatment in Hepatitis B or C Virus-Associated Hepatocellular Carcinoma Patients Diagnosed during Screening

Author

Izzo, Francesco, primary, Mason, Meredith C., additional, Silberfein, Eric J., additional, Massarweh, Nader N., additional, Hsu, Cary, additional, Tran Cao, Hop S., additional, Palaia, Raffaele, additional, Piccirillo, Mauro, additional, Belli, Andrea, additional, Patrone, Renato, additional, Fusco, Roberta, additional, Granata, Vincenza, additional, and Curley, Steven A., additional

Published
2022
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22. Liver Cancer

Author

Glazer, Evan S., Curley, Steven A., Rodriguez, M. Alma, editor, Walters, Ronald S., editor, and Burke, Thomas W., editor

Published
2013
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36. About the Authors

Author

Altan, Cem L., primary, Blumenauer, Brian, additional, Clemens, Mark W., additional, Butler, Charles E., additional, Bucak, Seyda, additional, Caffo, Maria, additional, Caruso, Gerardo, additional, Corr, Stuart J., additional, Craig, Suzanne L., additional, Curley, Steven A., additional, De Lacey, Sherrie F., additional, Dunne, Lina W., additional, Hubenak, Justin R., additional, Iyyanki, Tejaswi Sriranga, additional, Jensen, V. Behrana, additional, Jeyaraj, Rebecca, additional, Mathur, Anshu B., additional, Merlo, Lucia, additional, Mishra, Deepa, additional, Srinivasa, Dhivya, additional, Tan, Aaron, additional, and Zhang, Qixu, additional

Published
2017
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