Search

Your search keyword '"Barnholtz-Sloan, Jill S."' showing total 1,578 results
Start Over Author "Barnholtz-Sloan, Jill S."
1,578 results on '"Barnholtz-Sloan, Jill S."'

205. Impact of atopy on risk of glioma: a Mendelian randomisation study

Author

Disney-Hogg, Linden, Cornish, Alex J., Sud, Amit, Law, Philip J., Kinnersley, Ben, Jacobs, Daniel I., Ostrom, Quinn T., Labreche, Karim, Eckel-Passow, Jeanette E., Armstrong, Georgina N., Claus, Elizabeth B., Il’yasova, Dora, Schildkraut, Joellen, Barnholtz-Sloan, Jill S., Olson, Sara H., Bernstein, Jonine L., Lai, Rose K., Schoemaker, Minouk J., Simon, Matthias, Hoffmann, Per, Nöthen, Markus M., Jöckel, Karl-Heinz, Chanock, Stephen, Rajaraman, Preetha, Johansen, Christoffer, Jenkins, Robert B., Melin, Beatrice S., Wrensch, Margaret R., Sanson, Marc, Bondy, Melissa L., and Houlston, Richard S.

Published
2018
Full Text
View/download PDF

206. Mendelian randomisation study of the relationship between vitamin D and risk of glioma

Author

Takahashi, Hannah, Cornish, Alex J., Sud, Amit, Law, Philip J., Kinnersley, Ben, Ostrom, Quinn T., Labreche, Karim, Eckel-Passow, Jeanette E., Armstrong, Georgina N., Claus, Elizabeth B., Il’yasova, Dora, Schildkraut, Joellen, Barnholtz-Sloan, Jill S., Olson, Sara H., Bernstein, Jonine L., Lai, Rose K., Schoemaker, Minouk J., Simon, Matthias, Hoffmann, Per, Nöthen, Markus M., Jöckel, Karl-Heinz, Chanock, Stephen, Rajaraman, Preetha, Johansen, Christoffer, Jenkins, Robert B., Melin, Beatrice S., Wrensch, Margaret R., Sanson, Marc, Bondy, Melissa L., Turnbull, Clare, and Houlston, Richard S.

Published
2018
Full Text
View/download PDF

210. Exposure to radon and heavy particulate pollution and incidence of brain tumors

Author

Palmer, Joshua D, primary, Prasad, Rahul N, additional, Cioffi, Gino, additional, Kruchtko, Carol, additional, Zaorsky, Nicholas G, additional, Trifiletti, Daniel M, additional, Gondi, Vinai, additional, Brown, Paul D, additional, Perlow, Haley K, additional, Mishra, Mark V, additional, Chakravarti, Arnab, additional, Barnholtz-Sloan, Jill S, additional, and Ostrom, Quinn T, additional

Published
2022
Full Text
View/download PDF

212. Glioma progression is shaped by genetic evolution and microenvironment interactions

Author

Varn, Frederick S., primary, Johnson, Kevin C., additional, Martinek, Jan, additional, Huse, Jason T., additional, Nasrallah, MacLean P., additional, Wesseling, Pieter, additional, Cooper, Lee A.D., additional, Malta, Tathiane M., additional, Wade, Taylor E., additional, Sabedot, Thais S., additional, Brat, Daniel, additional, Gould, Peter V., additional, Wöehrer, Adelheid, additional, Aldape, Kenneth, additional, Ismail, Azzam, additional, Sivajothi, Santhosh K., additional, Barthel, Floris P., additional, Kim, Hoon, additional, Kocakavuk, Emre, additional, Ahmed, Nazia, additional, White, Kieron, additional, Datta, Indrani, additional, Moon, Hyo-Eun, additional, Pollock, Steven, additional, Goldfarb, Christine, additional, Lee, Ga-Hyun, additional, Garofano, Luciano, additional, Anderson, Kevin J., additional, Nehar-Belaid, Djamel, additional, Barnholtz-Sloan, Jill S., additional, Bakas, Spyridon, additional, Byrne, Annette T., additional, D’Angelo, Fulvio, additional, Gan, Hui K., additional, Khasraw, Mustafa, additional, Migliozzi, Simona, additional, Ormond, D. Ryan, additional, Paek, Sun Ha, additional, Van Meir, Erwin G., additional, Walenkamp, Annemiek M.E., additional, Watts, Colin, additional, Weiss, Tobias, additional, Weller, Michael, additional, Palucka, Karolina, additional, Stead, Lucy F., additional, Poisson, Laila M., additional, Noushmehr, Houtan, additional, Iavarone, Antonio, additional, Verhaak, Roel G.W., additional, Varn, Frederick S., additional, Ryan Ormond, D., additional, Ha Paek, Sun, additional, Alfaro, Kristin D., additional, Amin, Samirkumar B., additional, Ashley, David M., additional, Bock, Christoph, additional, Brodbelt, Andrew, additional, Bulsara, Ketan R., additional, Castro, Ana Valeria, additional, Connelly, Jennifer M., additional, Costello, Joseph F., additional, de Groot, John F., additional, Finocchiaro, Gaetano, additional, French, Pim J., additional, Golebiewska, Anna, additional, Hau, Ann C., additional, Hong, Chibo, additional, Horbinski, Craig, additional, Kannan, Kasthuri S., additional, Kouwenhoven, Mathilde CM., additional, Lasorella, Anna, additional, LaViolette, Peter S., additional, Ligon, Keith L., additional, Lowman, Allison K., additional, Mehta, Shwetal, additional, Miletic, Hrvoje, additional, Molinaro, Annette M., additional, Ng, Ho Keung, additional, Niclou, Simone P., additional, Niers, Johanna M., additional, Phillips, Joanna J., additional, Rabadan, Raul, additional, Rao, Ganesh, additional, Reifenberger, Guido, additional, Sanai, Nader, additional, Short, Susan C., additional, Sillevis Smitt, Peter, additional, Sloan, Andrew E., additional, Smits, Marion, additional, Snyder, James M., additional, Suzuki, Hiromichi, additional, Tabatabai, Ghazaleh, additional, Tanner, Georgette, additional, Tomaszewski, William H., additional, Wells, Michael, additional, Westerman, Bart A., additional, Wheeler, Helen, additional, Xie, Jichun, additional, Alfred Yung, W.K., additional, Zadeh, Gelareh, additional, Zhao, Junfei, additional, and Verhaak, Roel GW., additional

Published
2022
Full Text
View/download PDF

215. Cancer Informatics for Cancer Centers (CI4CC): Building a Community Focused on Sharing Ideas and Best Practices to Improve Cancer Care and Patient Outcomes.

Author

Barnholtz-Sloan, Jill S, Barnholtz-Sloan, Jill S, Rollison, Dana E, Basu, Amrita, Borowsky, Alexander D, Bui, Alex, DiGiovanna, Jack, Garcia-Closas, Montserrat, Genkinger, Jeanine M, Gerke, Travis, Induni, Marta, Lacey, James V, Jr, Mirel, Lisa, Permuth, Jennifer B, Saltz, Joel, Shenkman, Elizabeth A, Ulrich, Cornelia M, Zheng, W Jim, Nadaf, Sorena, Kibbe, Warren A, Barnholtz-Sloan, Jill S, Barnholtz-Sloan, Jill S, Rollison, Dana E, Basu, Amrita, Borowsky, Alexander D, Bui, Alex, DiGiovanna, Jack, Garcia-Closas, Montserrat, Genkinger, Jeanine M, Gerke, Travis, Induni, Marta, Lacey, James V, Jr, Mirel, Lisa, Permuth, Jennifer B, Saltz, Joel, Shenkman, Elizabeth A, Ulrich, Cornelia M, Zheng, W Jim, Nadaf, Sorena, and Kibbe, Warren A

Abstract

Cancer Informatics for Cancer Centers (CI4CC) is a grassroots, nonprofit 501c3 organization intended to provide a focused national forum for engagement of senior cancer informatics leaders, primarily aimed at academic cancer centers anywhere in the world but with a special emphasis on the 70 National Cancer Institute-funded cancer centers. Although each of the participating cancer centers is structured differently, and leaders' titles vary, we know firsthand there are similarities in both the issues we face and the solutions we achieve. As a consortium, we have initiated a dedicated listserv, an open-initiatives program, and targeted biannual face-to-face meetings. These meetings are a place to review our priorities and initiatives, providing a forum for discussion of the strategic and pragmatic issues we, as informatics leaders, individually face at our respective institutions and cancer centers. Here we provide a brief history of the CI4CC organization and meeting highlights from the latest CI4CC meeting that took place in Napa, California from October 14-16, 2019. The focus of this meeting was "intersections between informatics, data science, and population science." We conclude with a discussion on "hot topics" on the horizon for cancer informatics.

Published
2020

218. Glioma progression is shaped by genetic evolution and microenvironment interactions.

Author

Varn, Frederick S, Varn, Frederick S, Johnson, Kevin C, Martinek, Jan, Huse, Jason T, Nasrallah, MacLean P, Wesseling, Pieter, Cooper, Lee AD, Malta, Tathiane M, Wade, Taylor E, Sabedot, Thais S, Brat, Daniel, Gould, Peter V, Wöehrer, Adelheid, Aldape, Kenneth, Ismail, Azzam, Sivajothi, Santhosh K, Barthel, Floris P, Kim, Hoon, Kocakavuk, Emre, Ahmed, Nazia, White, Kieron, Datta, Indrani, Moon, Hyo-Eun, Pollock, Steven, Goldfarb, Christine, Lee, Ga-Hyun, Garofano, Luciano, Anderson, Kevin J, Nehar-Belaid, Djamel, Barnholtz-Sloan, Jill S, Bakas, Spyridon, Byrne, Annette T, D'Angelo, Fulvio, Gan, Hui K, Khasraw, Mustafa, Migliozzi, Simona, Ormond, D Ryan, Paek, Sun Ha, Van Meir, Erwin G, Walenkamp, Annemiek ME, Watts, Colin, Weiss, Tobias, Weller, Michael, Palucka, Karolina, Stead, Lucy F, Poisson, Laila M, Noushmehr, Houtan, Iavarone, Antonio, Verhaak, Roel GW, GLASS Consortium, Varn, Frederick S, Varn, Frederick S, Johnson, Kevin C, Martinek, Jan, Huse, Jason T, Nasrallah, MacLean P, Wesseling, Pieter, Cooper, Lee AD, Malta, Tathiane M, Wade, Taylor E, Sabedot, Thais S, Brat, Daniel, Gould, Peter V, Wöehrer, Adelheid, Aldape, Kenneth, Ismail, Azzam, Sivajothi, Santhosh K, Barthel, Floris P, Kim, Hoon, Kocakavuk, Emre, Ahmed, Nazia, White, Kieron, Datta, Indrani, Moon, Hyo-Eun, Pollock, Steven, Goldfarb, Christine, Lee, Ga-Hyun, Garofano, Luciano, Anderson, Kevin J, Nehar-Belaid, Djamel, Barnholtz-Sloan, Jill S, Bakas, Spyridon, Byrne, Annette T, D'Angelo, Fulvio, Gan, Hui K, Khasraw, Mustafa, Migliozzi, Simona, Ormond, D Ryan, Paek, Sun Ha, Van Meir, Erwin G, Walenkamp, Annemiek ME, Watts, Colin, Weiss, Tobias, Weller, Michael, Palucka, Karolina, Stead, Lucy F, Poisson, Laila M, Noushmehr, Houtan, Iavarone, Antonio, Verhaak, Roel GW, and GLASS Consortium

Abstract

The factors driving therapy resistance in diffuse glioma remain poorly understood. To identify treatment-associated cellular and genetic changes, we analyzed RNA and/or DNA sequencing data from the temporally separated tumor pairs of 304 adult patients with isocitrate dehydrogenase (IDH)-wild-type and IDH-mutant glioma. Tumors recurred in distinct manners that were dependent on IDH mutation status and attributable to changes in histological feature composition, somatic alterations, and microenvironment interactions. Hypermutation and acquired CDKN2A deletions were associated with an increase in proliferating neoplastic cells at recurrence in both glioma subtypes, reflecting active tumor growth. IDH-wild-type tumors were more invasive at recurrence, and their neoplastic cells exhibited increased expression of neuronal signaling programs that reflected a possible role for neuronal interactions in promoting glioma progression. Mesenchymal transition was associated with the presence of a myeloid cell state defined by specific ligand-receptor interactions with neoplastic cells. Collectively, these recurrence-associated phenotypes represent potential targets to alter disease progression.

Published
2022

219. Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Author

Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon, Sheller, Micah, Wang, Shih-Han, Reina, G Anthony, Foley, Patrick, Gruzdev, Alexey, Karkada, Deepthi, Davatzikos, Christos, Sako, Chiharu, Ghodasara, Satyam, Bilello, Michel, Mohan, Suyash, Vollmuth, Philipp, Brugnara, Gianluca, Preetha, Chandrakanth J, Sahm, Felix, Maier-Hein, Klaus, Zenk, Maximilian, Bendszus, Martin, Wick, Wolfgang, Calabrese, Evan, Rudie, Jeffrey, Villanueva-Meyer, Javier, Cha, Soonmee, Ingalhalikar, Madhura, Jadhav, Manali, Pandey, Umang, Saini, Jitender, Garrett, John, Larson, Matthew, Jeraj, Robert, Currie, Stuart, Frood, Russell, Fatania, Kavi, Huang, Raymond Y, Chang, Ken, Balana, Carmen, Capellades, Jaume, Puig, Josep, Trenkler, Johannes, Pichler, Josef, Necker, Georg, Haunschmidt, Andreas, Meckel, Stephan, Shukla, Gaurav, Liem, Spencer, Alexander, Gregory S, Lombardo, Joseph, Palmer, Joshua D, Flanders, Adam E, Dicker, Adam P, Sair, Haris I, Jones, Craig K, Venkataraman, Archana, Jiang, Meirui, So, Tiffany Y, Chen, Cheng, Heng, Pheng Ann, Dou, Qi, Kozubek, Michal, Lux, Filip, Michálek, Jan, Matula, Petr, Keřkovský, Miloš, Kopřivová, Tereza, Dostál, Marek, Vybíhal, Václav, Vogelbaum, Michael A, Mitchell, J Ross, Farinhas, Joaquim, Maldjian, Joseph A, Yogananda, Chandan Ganesh Bangalore, Pinho, Marco C, Reddy, Divya, Holcomb, James, Wagner, Benjamin C, Ellingson, Benjamin M, Cloughesy, Timothy F, Raymond, Catalina, Oughourlian, Talia, Hagiwara, Akifumi, Wang, Chencai, To, Minh-Son, Bhardwaj, Sargam, Chong, Chee, Agzarian, Marc, Falcão, Alexandre Xavier, Martins, Samuel B, Teixeira, Bernardo C A, Sprenger, Flávia, Menotti, David, Lucio, Diego R, LaMontagne, Pamela, Marcus, Daniel, Wiestler, Benedikt, Kofler, Florian, Ezhov, Ivan, Metz, Marie, Jain, Rajan, Lee, Matthew, Lui, Yvonne W, McKinley, Richard, Slotboom, Johannes, Radojewski, Piotr, Meier, Raphael, Wiest, Roland, Murcia, Derrick, Fu, Eric, Haas, Rourke, Thompson, John, Ormond, David Ryan, Badve, Chaitra, Sloan, Andrew E, Vadmal, Vachan, Waite, Kristin, Colen, Rivka R, Pei, Linmin, Ak, Murat, Srinivasan, Ashok, Bapuraj, J Rajiv, Rao, Arvind, Wang, Nicholas, Yoshiaki, Ota, Moritani, Toshio, Turk, Sevcan, Lee, Joonsang, Prabhudesai, Snehal, Morón, Fanny, Mandel, Jacob, Kamnitsas, Konstantinos, Glocker, Ben, Dixon, Luke V M, Williams, Matthew, Zampakis, Peter, Panagiotopoulos, Vasileios, Tsiganos, Panagiotis, Alexiou, Sotiris, Haliassos, Ilias, Zacharaki, Evangelia I, Moustakas, Konstantinos, Kalogeropoulou, Christina, Kardamakis, Dimitrios M, Choi, Yoon Seong, Lee, Seung-Koo, Chang, Jong Hee, Ahn, Sung Soo, Luo, Bing, Poisson, Laila, Wen, Ning, Tiwari, Pallavi, Verma, Ruchika, Bareja, Rohan, Yadav, Ipsa, Chen, Jonathan, Kumar, Neeraj, Smits, Marion, van der Voort, Sebastian R, Alafandi, Ahmed, Incekara, Fatih, Wijnenga, Maarten MJ, Kapsas, Georgios, Gahrmann, Renske, Schouten, Joost W, Dubbink, Hendrikus J, Vincent, Arnaud JPE, Bent, Martin J van den, French, Pim J, Klein, Stefan, Yuan, Yading, Sharma, Sonam, Tseng, Tzu-Chi, Adabi, Saba, Niclou, Simone P, Keunen, Olivier, Hau, Ann-Christin, Vallières, Martin, Fortin, David, Lepage, Martin, Landman, Bennett, Ramadass, Karthik, Xu, Kaiwen, Chotai, Silky, Chambless, Lola B, Mistry, Akshitkumar, Thompson, Reid C, Gusev, Yuriy, Bhuvaneshwar, Krithika, Sayah, Anousheh, Bencheqroun, Camelia, Belouali, Anas, Madhavan, Subha, Booth, Thomas C, Chelliah, Alysha, Modat, Marc, Shuaib, Haris, Dragos, Carmen, Abayazeed, Aly, Kolodziej, Kenneth, Hill, Michael, Abbassy, Ahmed, Gamal, Shady, Mekhaimar, Mahmoud, Qayati, Mohamed, Reyes, Mauricio, Park, Ji Eun, Yun, Jihye, Kim, Ho Sung, Mahajan, Abhishek, Muzi, Mark, Benson, Sean, Beets-Tan, Regina G H, Teuwen, Jonas, Herrera-Trujillo, Alejandro, Trujillo, Maria, Escobar, William, Abello, Ana, Bernal, Jose, Gómez, Jhon, Choi, Joseph, Baek, Stephen, Kim, Yusung, Ismael, Heba, Allen, Bryan, Buatti, John M, Kotrotsou, Aikaterini, Li, Hongwei, Weiss, Tobias, Weller, Michael, Bink, Andrea, Pouymayou, Bertrand, Shaykh, Hassan F, Saltz, Joel, Prasanna, Prateek, Shrestha, Sampurna, Mani, Kartik M, Payne, David, Kurc, Tahsin, Pelaez, Enrique, Franco-Maldonado, Heydy, Loayza, Francis, Quevedo, Sebastian, Guevara, Pamela, Torche, Esteban, Mendoza, Cristobal, Vera, Franco, Ríos, Elvis, López, Eduardo, Velastin, Sergio A, Ogbole, Godwin, Oyekunle, Dotun, Odafe-Oyibotha, Olubunmi, Osobu, Babatunde, Shu'aibu, Mustapha, Dorcas, Adeleye, Soneye, Mayowa, Dako, Farouk, Simpson, Amber L, Hamghalam, Mohammad, Peoples, Jacob J, Hu, Ricky, Tran, Anh, Cutler, Danielle, Moraes, Fabio Y, Boss, Michael A, Gimpel, James, Veettil, Deepak Kattil, Schmidt, Kendall, Bialecki, Brian, Marella, Sailaja, Price, Cynthia, Cimino, Lisa, Apgar, Charles, Shah, Prashant, Menze, Bjoern, Barnholtz-Sloan, Jill S, Martin, Jason, Bakas, Spyridon, Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon, Sheller, Micah, Wang, Shih-Han, Reina, G Anthony, Foley, Patrick, Gruzdev, Alexey, Karkada, Deepthi, Davatzikos, Christos, Sako, Chiharu, Ghodasara, Satyam, Bilello, Michel, Mohan, Suyash, Vollmuth, Philipp, Brugnara, Gianluca, Preetha, Chandrakanth J, Sahm, Felix, Maier-Hein, Klaus, Zenk, Maximilian, Bendszus, Martin, Wick, Wolfgang, Calabrese, Evan, Rudie, Jeffrey, Villanueva-Meyer, Javier, Cha, Soonmee, Ingalhalikar, Madhura, Jadhav, Manali, Pandey, Umang, Saini, Jitender, Garrett, John, Larson, Matthew, Jeraj, Robert, Currie, Stuart, Frood, Russell, Fatania, Kavi, Huang, Raymond Y, Chang, Ken, Balana, Carmen, Capellades, Jaume, Puig, Josep, Trenkler, Johannes, Pichler, Josef, Necker, Georg, Haunschmidt, Andreas, Meckel, Stephan, Shukla, Gaurav, Liem, Spencer, Alexander, Gregory S, Lombardo, Joseph, Palmer, Joshua D, Flanders, Adam E, Dicker, Adam P, Sair, Haris I, Jones, Craig K, Venkataraman, Archana, Jiang, Meirui, So, Tiffany Y, Chen, Cheng, Heng, Pheng Ann, Dou, Qi, Kozubek, Michal, Lux, Filip, Michálek, Jan, Matula, Petr, Keřkovský, Miloš, Kopřivová, Tereza, Dostál, Marek, Vybíhal, Václav, Vogelbaum, Michael A, Mitchell, J Ross, Farinhas, Joaquim, Maldjian, Joseph A, Yogananda, Chandan Ganesh Bangalore, Pinho, Marco C, Reddy, Divya, Holcomb, James, Wagner, Benjamin C, Ellingson, Benjamin M, Cloughesy, Timothy F, Raymond, Catalina, Oughourlian, Talia, Hagiwara, Akifumi, Wang, Chencai, To, Minh-Son, Bhardwaj, Sargam, Chong, Chee, Agzarian, Marc, Falcão, Alexandre Xavier, Martins, Samuel B, Teixeira, Bernardo C A, Sprenger, Flávia, Menotti, David, Lucio, Diego R, LaMontagne, Pamela, Marcus, Daniel, Wiestler, Benedikt, Kofler, Florian, Ezhov, Ivan, Metz, Marie, Jain, Rajan, Lee, Matthew, Lui, Yvonne W, McKinley, Richard, Slotboom, Johannes, Radojewski, Piotr, Meier, Raphael, Wiest, Roland, Murcia, Derrick, Fu, Eric, Haas, Rourke, Thompson, John, Ormond, David Ryan, Badve, Chaitra, Sloan, Andrew E, Vadmal, Vachan, Waite, Kristin, Colen, Rivka R, Pei, Linmin, Ak, Murat, Srinivasan, Ashok, Bapuraj, J Rajiv, Rao, Arvind, Wang, Nicholas, Yoshiaki, Ota, Moritani, Toshio, Turk, Sevcan, Lee, Joonsang, Prabhudesai, Snehal, Morón, Fanny, Mandel, Jacob, Kamnitsas, Konstantinos, Glocker, Ben, Dixon, Luke V M, Williams, Matthew, Zampakis, Peter, Panagiotopoulos, Vasileios, Tsiganos, Panagiotis, Alexiou, Sotiris, Haliassos, Ilias, Zacharaki, Evangelia I, Moustakas, Konstantinos, Kalogeropoulou, Christina, Kardamakis, Dimitrios M, Choi, Yoon Seong, Lee, Seung-Koo, Chang, Jong Hee, Ahn, Sung Soo, Luo, Bing, Poisson, Laila, Wen, Ning, Tiwari, Pallavi, Verma, Ruchika, Bareja, Rohan, Yadav, Ipsa, Chen, Jonathan, Kumar, Neeraj, Smits, Marion, van der Voort, Sebastian R, Alafandi, Ahmed, Incekara, Fatih, Wijnenga, Maarten MJ, Kapsas, Georgios, Gahrmann, Renske, Schouten, Joost W, Dubbink, Hendrikus J, Vincent, Arnaud JPE, Bent, Martin J van den, French, Pim J, Klein, Stefan, Yuan, Yading, Sharma, Sonam, Tseng, Tzu-Chi, Adabi, Saba, Niclou, Simone P, Keunen, Olivier, Hau, Ann-Christin, Vallières, Martin, Fortin, David, Lepage, Martin, Landman, Bennett, Ramadass, Karthik, Xu, Kaiwen, Chotai, Silky, Chambless, Lola B, Mistry, Akshitkumar, Thompson, Reid C, Gusev, Yuriy, Bhuvaneshwar, Krithika, Sayah, Anousheh, Bencheqroun, Camelia, Belouali, Anas, Madhavan, Subha, Booth, Thomas C, Chelliah, Alysha, Modat, Marc, Shuaib, Haris, Dragos, Carmen, Abayazeed, Aly, Kolodziej, Kenneth, Hill, Michael, Abbassy, Ahmed, Gamal, Shady, Mekhaimar, Mahmoud, Qayati, Mohamed, Reyes, Mauricio, Park, Ji Eun, Yun, Jihye, Kim, Ho Sung, Mahajan, Abhishek, Muzi, Mark, Benson, Sean, Beets-Tan, Regina G H, Teuwen, Jonas, Herrera-Trujillo, Alejandro, Trujillo, Maria, Escobar, William, Abello, Ana, Bernal, Jose, Gómez, Jhon, Choi, Joseph, Baek, Stephen, Kim, Yusung, Ismael, Heba, Allen, Bryan, Buatti, John M, Kotrotsou, Aikaterini, Li, Hongwei, Weiss, Tobias, Weller, Michael, Bink, Andrea, Pouymayou, Bertrand, Shaykh, Hassan F, Saltz, Joel, Prasanna, Prateek, Shrestha, Sampurna, Mani, Kartik M, Payne, David, Kurc, Tahsin, Pelaez, Enrique, Franco-Maldonado, Heydy, Loayza, Francis, Quevedo, Sebastian, Guevara, Pamela, Torche, Esteban, Mendoza, Cristobal, Vera, Franco, Ríos, Elvis, López, Eduardo, Velastin, Sergio A, Ogbole, Godwin, Oyekunle, Dotun, Odafe-Oyibotha, Olubunmi, Osobu, Babatunde, Shu'aibu, Mustapha, Dorcas, Adeleye, Soneye, Mayowa, Dako, Farouk, Simpson, Amber L, Hamghalam, Mohammad, Peoples, Jacob J, Hu, Ricky, Tran, Anh, Cutler, Danielle, Moraes, Fabio Y, Boss, Michael A, Gimpel, James, Veettil, Deepak Kattil, Schmidt, Kendall, Bialecki, Brian, Marella, Sailaja, Price, Cynthia, Cimino, Lisa, Apgar, Charles, Shah, Prashant, Menze, Bjoern, Barnholtz-Sloan, Jill S, Martin, Jason, and Bakas, Spyridon

Abstract

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally sharing ample, and importantly diverse, data from multiple sites. However, such centralization is challenging to scale (or even not feasible) due to various limitations. Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here we present findings from the largest FL study to-date, involving data from 71 healthcare institutions across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, utilizing the largest dataset of such patients ever used in the literature (25,256 MRI scans from 6,314 patients). We demonstrate a 33% improvement over a publicly trained model to delineate the surgically targetable tumor, and 23% improvement over the tumor's entire extent. We anticipate our study to: 1) enable more studies in healthcare informed by large and diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further quantitative analyses for glioblastoma via performance optimization of our consensus model for eventual public release, and 3) demonstrate the effectiveness of FL at such scale and task complexity as a paradigm shift for multi-site collaborations, alleviating the need for data sharing., Comment: federated learning, deep learning, convolutional neural network, segmentation, brain tumor, glioma, glioblastoma, FeTS, BraTS

Published
2022
Full Text
View/download PDF

221. Sex differences in adults with acute myeloid leukemia and the impact of sex on overall survival.

Author

Stabellini, Nickolas, Tomlinson, Benjamin, Cullen, Jennifer, Shanahan, John, Waite, Kristin, Montero, Alberto J., Barnholtz‐Sloan, Jill S., and Hamerschlak, Nelson

Subjects
ACUTE myeloid leukemia, OVERALL survival, MEDICAL care
Abstract

Background: There is a male predominance of acute myeloid leukemia (AML) incidence, but survival data are conflicting. The objective of this study is to carry out a comprehensive analysis of sex differences in AML, and to investigate the impact of sex disparities in survival. Methods: The cohort included patients ≥18 years diagnosed with AML (2010–2022). Demographics, treatment patterns, treatment adverse events, and survival were analyzed. The population was described and compared by sex, and sex‐based risks and associations were obtained via Cox proportional‐hazards regression. Results: In total, 1020 AML patients were analyzed (57.4% males), with lower risk of death for females (aHR = 0.41, 95% CI 0.26–0.66). Among females, BMT (aHR = 0.51, 95% CI 0.27–0.97), hospitalization record (aHR = 0.65, 95%CI 0.45–0.93), and higher appointment completion rates (aHR = 0.98, 95% CI 0.98–0.98) were associated with lower risk of death. Overall, and similarly in males, higher age at diagnosis (aHR = 1.03, 95% CI 1.02–1.04) and a TP53 mutation (aHR = 2.24, 95% CI 1.69–2.97) were associated with higher risk of death. Conclusion: Sex differences exist in both AML incidence and overall survival. Treatment and health care factors should be addressed by caregivers and public policies developed to reduce mortality rates and mitigate existing sex differences. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

222. Mortality trends in primary malignant brain and central nervous system tumors vary by histopathology, age, race, and sex.

Author

Thierheimer, Marisa, Cioffi, Gino, Waite, Kristin A., Kruchko, Carol, Ostrom, Quinn T., and Barnholtz-Sloan, Jill S.

Abstract

Purpose: Primary malignant brain and other central nervous system tumors are rare cancers that have shown rising mortality rates in recent years. To elucidate potential factors involved in this rising death rate, we examined mortality trends for primary malignant BT in the United States stratified by histopathology groupings, age, race, and sex. Methods: Mortality rates for demographic factors within primary malignant BT were generated using the National Center for Health Statistics' National Vital Statistics Systems data from 2004 to 2018. Additionally, histopathology-specific incidence-based mortality rates were calculated using the National Cancer Institute's Surveillance, Epidemiology, and End-Results (SEER) 18 data from 2004 to 2018. Joinpoint modeling was used to estimate mortality trends and annual percent changes with corresponding 95% confidence intervals. Results: Overall, there was a very small increase in mortality from 2004 to 2018. Individuals > 65 years saw a small increase in mortality, while changes in individuals of other ages were non-significant. Asian/Pacific Islander or American Indian/Alaskan Native had the largest increase in mortality. Among histopathology groupings, there was a small mortality increase in adults ages > 65 years with glioblastoma, while the mortality rate of other malignant gliomas declined in the same age group. CNS lymphoma mortality rates in patients ages 15–39 and 40–64 years declined significantly while rising significantly in the > 65 age group. In pediatric patients, embryonal tumor mortality had a non-significant increase between 2004 and 2007 but declined significantly between 2007 and 2018. Conclusion: Examining age, race, sex, and histopathology-specific mortality trends at the population level can provide important information for clinicians, researchers, and aid in public health planning. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

226. Molecular marker testing and reporting completeness for adult-type diffuse gliomas in the United States.

Author

Neff, Corey, Cioffi, Gino, Waite, Kristin, Kruchko, Carol, Barnholtz-Sloan, Jill S, Ostrom, Quinn T, and Iorgulescu, J Bryan

Subjects
GLIOMAS, BRAIN tumors, COMMUNITY centers, GLIOBLASTOMA multiforme, ASTROCYTOMAS, O6-Methylguanine-DNA Methyltransferase
Abstract

Background A newly developed brain molecular marker (BMM) data item was implemented by US cancer registries for individuals diagnosed with brain tumors in 2018—including IDH and 1p/19q-co-deletion statuses for adult-type diffuse gliomas. We thus investigated the testing/reporting completeness of BMM in the United States. Methods Cases of histopathologically confirmed glioblastoma, astrocytoma, and oligodendroglioma diagnosed in 2018 were identified in the National Cancer Database. Adjusted odds ratios (ORadj) and 95% confidence intervals (CI) of BMM testing/reporting were evaluated for association with the selected patient, treatment, and facility-level characteristics using multivariable logistic regression. As a secondary analysis, predictors of MGMT promoter methylation testing/reporting among IDH-wildtype glioblastoma individuals were assessed. Key limitations of the BMM data item were that it did not include any details regarding testing technique or assay type and could not distinguish between a lack of testing and a lack of cancer registry reporting of testing results. Results Among 8306 histopathologically diagnosed adult-type diffuse gliomas nationally, overall BMM testing/reporting completeness was 81.1%. Compared to biopsy-only cases, odds of testing/reporting increased for subtotal (ORadj= 1.38 [95% CI: 1.20–1.59], P <.001) and gross total resection (ORadj=1.50 [95% CI: 1.31–1.72], P <.001). Furthermore, the odds were lowest at community centers (hospitals (67.3%; ORadj=0.35 [95% CI: 0.26–0.46], P <.001) and highest at academic/NCI-designated comprehensive cancer centers (85.4%; referent). By geographical location, BMM testing/reporting completeness ranged from a high of 86.8% at New England (referent) to a low of 76.0 % in the West South Central region (ORadj=0.57 [95% CI: 0.42–0.78]; P <.001). Extent of resection, Commission-on-Cancer facility type, and facility location were additionally significant predictors of MGMT testing/reporting among IDH-wildtype glioblastoma cases. Conclusions Initial BMM testing/reporting completeness for individuals with adult-type diffuse gliomas in the United States was promising, although patterns varied by hospital attributes and extent of resection. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

227. Incidence and survival of choroid plexus tumors in the United States.

Author

Takaoka, Kailey, Cioffi, Gino, Waite, Kristin A, Finlay, Jonathan L, Landi, Daniel, Greppin, Kaitlyn, Kruchko, Carol, Ostrom, Quinn T, and Barnholtz-Sloan, Jill S

Subjects
CHOROID plexus, BRAIN tumors, OVERALL survival, RACE, POPULATION statistics
Abstract

Background There are limited data available on incidence and survival of patients with choroid plexus tumors (CPT). This study provides the most current epidemiological analysis of choroid plexus tumors from 2004 to 2017 in the United States. Methods Data on 2013 patients with CPT were acquired from the Central Brain Tumor Registry of the United States in collaboration with the Centers for Disease Control and Prevention (CDC) and the National Cancer Institute, from 2004 to 2017. CPT cases were classified by the following pathological subtypes: choroid plexus papilloma (CPP), atypical choroid plexus papilloma (aCPP), and choroid plexus carcinoma (CPC). Frequencies and age-adjusted incidence rates (AAIR) per 100 000 and rate ratios per 100 000 (IRR) were reported for age, sex, race, and ethnicity for each pathological subtype with 95% confidence intervals (95% CI). Using CDC's National Program of Cancer Registries survival database, survival curves and hazard ratios (HRs) evaluated overall survival from 2001 to 2016. Results CPP had the highest overall incidence (AAIR: 0.034, 95% CI: 0.033–0.036), followed by CPC (AAIR: 0.008, 95% CI: 0.008–0.009) and aCPP (AAIR: 0.005, 95% CI: 0.005–0.006). Incidence was highest among children less than one year old among all subtypes (CPP AAIR: 0.278; aCPP AAIR: 0.140; CPC AAIR: 0.195), reducing as patients aged. Overall survival was worse among patients with CPC, being five times more likely to die compared to patients with CPP (HR: 5.23, 95% CI: 4.05–7.54, P  < .001). Conclusions This analysis is the most current and comprehensive study in the US on the incidence and survival for CPT. Population based statistics provide critical information in understanding disease characteristics, which impact patient care and prognosis. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

228. Novel 3D magnetic resonance fingerprinting radiomics in adult brain tumors: a feasibility study.

Author

Tippareddy, Charit, Onyewadume, Louisa, Sloan, Andrew E., Wang, Gi-Ming, Patil, Nirav T., Hu, Siyuan, Barnholtz-Sloan, Jill S., Boyacıoğlu, Rasim, Gulani, Vikas, Sunshine, Jeffrey, Griswold, Mark, Ma, Dan, and Badve, Chaitra

Subjects
MAGNETIC resonance imaging, RADIOMICS, BRAIN tumors, GLIOMAS, QUANTITATIVE research
Abstract

Objectives: To test the feasibility of using 3D MRF maps with radiomics analysis and machine learning in the characterization of adult brain intra-axial neoplasms. Methods: 3D MRF acquisition was performed on 78 patients with newly diagnosed brain tumors including 33 glioblastomas (grade IV), 6 grade III gliomas, 12 grade II gliomas, and 27 patients with brain metastases. Regions of enhancing tumor, non-enhancing tumor, and peritumoral edema were segmented and radiomics analysis with gray-level co-occurrence matrices and gray-level run-length matrices was performed. Statistical analysis was performed to identify features capable of differentiating tumors based on type, grade, and isocitrate dehydrogenase (IDH1) status. Receiver operating curve analysis was performed and the area under the curve (AUC) was calculated for tumor classification and grading. For gliomas, Kaplan-Meier analysis for overall survival was performed using MRF T1 features from enhancing tumor region. Results: Multiple MRF T1 and T2 features from enhancing tumor region were capable of differentiating glioblastomas from brain metastases. Although no differences were identified between grade 2 and grade 3 gliomas, differentiation between grade 2 and grade 4 gliomas as well as between grade 3 and grade 4 gliomas was achieved. MRF radiomics features were also able to differentiate IDH1 mutant from the wild-type gliomas. Radiomics T1 features for enhancing tumor region in gliomas correlated to overall survival (p < 0.05). Conclusion: Radiomics analysis of 3D MRF maps allows differentiating glioblastomas from metastases and is capable of differentiating glioblastomas from metastases and characterizing gliomas based on grade, IDH1 status, and survival. Key Points: • 3D MRF data analysis using radiomics offers novel tissue characterization of brain tumors. • 3D MRF with radiomics offers glioma characterization based on grade, IDH1 status, and overall patient survival. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

231. Molecular biomarker-defined brain tumors: Epidemiology, validity, and completeness in the United States

Author

Iorgulescu, J Bryan, primary, Sun, Chuxuan, additional, Neff, Corey, additional, Cioffi, Gino, additional, Gutierrez, Catherine, additional, Kruchko, Carol, additional, Ruhl, Jennifer, additional, Waite, Kristin A, additional, Negoita, Serban, additional, Hofferkamp, Jim, additional, Tihan, Tarik, additional, McLendon, Roger, additional, Brat, Daniel J, additional, Ostrom, Quinn T, additional, and Barnholtz-Sloan, Jill S, additional

Published
2022
Full Text
View/download PDF

235. Statistical practice and transparent reporting in the neurosciences: Preclinical motor behavioral experiments

Author

Hogue, Olivia, primary, Harvey, Tucker, additional, Crozier, Dena, additional, Sonneborn, Claire, additional, Postle, Abagail, additional, Block-Beach, Hunter, additional, Somasundaram, Eashwar, additional, May, Francis J., additional, Snyder Braun, Monica, additional, Pasadyn, Felicia L., additional, King, Khandi, additional, Johnson, Casandra, additional, Dolansky, Mary A., additional, Obuchowski, Nancy A., additional, Machado, Andre G., additional, Baker, Kenneth B., additional, and Barnholtz-Sloan, Jill S., additional

Published
2022
Full Text
View/download PDF

236. Detection of tumor-specific DNA methylation markers in the blood of patients with pituitary neuroendocrine tumors

Author

Herrgott, Grayson A, primary, Asmaro, Karam P, additional, Wells, Michael, additional, Sabedot, Thais S, additional, Malta, Tathiane M, additional, Mosella, Maritza S, additional, Nelson, Kevin, additional, Scarpace, Lisa, additional, Barnholtz-Sloan, Jill S, additional, Sloan, Andrew E, additional, Selman, Warren R, additional, deCarvalho, Ana C, additional, Poisson, Laila M, additional, Mukherjee, Abir, additional, Robin, Adam M, additional, Lee, Ian Y, additional, Snyder, James, additional, Walbert, Tobias, additional, Rosenblum, Mark, additional, Mikkelsen, Tom, additional, Bhan, Arti, additional, Craig, John, additional, Kalkanis, Steven, additional, Rock, Jack, additional, Noushmehr, Houtan, additional, and Castro, Ana Valeria, additional

Published
2022
Full Text
View/download PDF

242. Psychosocial factors associated with genetic testing status among African American women with ovarian cancer: Results from the African American Cancer Epidemiology Study.

Author

McBride, Colleen M., Pathak, Sarita, Johnson, Courtney E., Alberg, Anthony J., Bandera, Elisa V., Barnholtz‐Sloan, Jill S., Bondy, Melissa L., Cote, Michele L., Moorman, Patricia G., Peres, Lauren C., Peters, Edward S., Schwartz, Ann G., Terry, Paul D., Schildkraut, Joellen M., and Barnholtz-Sloan, Jill S

Subjects
AFRICAN American women, GENETIC testing, OVARIAN cancer, PSYCHOSOCIAL factors, EPIDEMIOLOGY of cancer, AFRICAN Americans, OVARIAN tumors, CASE-control method, RESEARCH funding
Abstract

Background: Racial disparities in the uptake of cancer genetic services are well documented among African American (AA) women. Understanding the multiple social and psychological factors that can influence the uptake of genetic testing among AA women is needed.Methods: Data came from 270 AA women diagnosed with ovarian cancer and participating in a population-based, case-control study of ovarian cancer who were asked about genetic testing. Logistic regression analyses tested the associations of predisposing, enabling, and need factors with reported genetic testing uptake.Results: One-third of the sample (35%) reported having had genetic testing. In the multivariable model, AA women with higher incomes had more than double the odds of being tested than those with the lowest income (odds ratio [OR] for $25,000-$74,999, 2.04; 95% confidence interval [CI], 1.06-3.99; OR for ≥$75,000, 2.32; 95% CI, 0.92-5.94). AA women who reported employment discrimination were significantly less likely to report genetic testing than those who did not report job discrimination (OR, 0.39; 95% CI, 0.14-0.95). Marital status, Medicaid versus other insurance, prayer frequency, and perceived social support were significantly associated with genetic testing uptake in bivariate analyses but were not significant contributors in multivariable analyses.Conclusions: Consistent with other studies of AA women, a minority of African American Cancer Epidemiology Study participants had undergone genetic testing. Having a lower income and experiencing job discrimination decreased the likelihood of testing. These results provide foundational evidence supporting the need for interventions to improve the uptake of genetic testing among AA women by reducing cost barriers and providing credible assurances that genetic results will be kept private and not affect social factors such as employability. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

243. Supplement to: Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas.

Author

Brat, Daniel J, Verhaak, Roel GW, Salama, Sofie R., Cooper, Lee, Aldape, Kenneth D, Yung, Alfred W.K, Akbani, Rehan, Barnholtz-Sloan, Jill S., Berger, Mitchel S., Brennan, Cameron, Bristow, Christopher A., Cherniack, Andrew D., Ciriello, Giovanni, Colen, Rivka, Colman, Howard, Flanders, Adam E., Giannini, Caterina, Grifford, Mia, Huse, Jason T., Iavarone, Antonio, Jain, Rajan, Joseph, Isaac, Kim, Jaegil, Kasaian, Katayoon, Laird, Peter W., Mikkelsen, Tom, Miller, Ryan C., Morozova, Olena, Murray, Bradley A., Noushmehr, Houtan, OʼNeill, Brian Patrick, Pachter, Lior, Parsons, Donald W., Poisson, Laila M., Rheinbay, Esther, Robertson, Gordon A., Sougnez, Carrie, Sulman, Erik P., Vandenberg, Scott R., Van Meir, Erwin G., Vitucci, Mark, Deimling, Andreas von, Yoshihara, Kosuke, Zhang, Hailei, Zheng, Siyuan, Crain, Daniel, Lau, Kevin, Mallery, David, Morris, Scott, Paulauskis, Joseph, Penny, Robert, Shelton, Troy, Sherman, Mark, Yena, Peggy, Black, Aaron, Bowen, Jay, Dicostanzo, Katie, Gastier-Foster, Julie, Leraas, Kristen M., Lichtenberg, Tara M., Pierson, Christopher R., Ramirez, Nilsa C., Taylor, Cynthia, Weaver, Stephanie, Wise, Lisa, Zmuda, Erik, Davidsen, Tanja, Demchok, John A., Eley, Greg, Ferguson, Martin L., Hutter, Carolyn M., Mills Shaw, Kenna R., Ozenberger, Bradley A., Sheth, Margi, Sofia, Heidi J., Tarnuzzer, Roy, Wang, Zhining, Yang, Liming, Zenklusen, Jean Claude, Ayala, Brenda, Baboud, Julien, Chudamani, Sudha, Jensen, Mark A., Liu, Jia, Pihl, Todd, Raman, Rohini, Wan, Yunhu, Wu, Ye, Ally, Adrian, Auman, Todd J., Balasundaram, Miruna, Balu, Saianand, Baylin, Stephen B., Beroukhim, Rameen, Bootwalla, Moiz S., Bowlby, Reanne, Brooks, Denise, Butterfield, Yaron, Carlsen, Rebecca, Carter, Scott, Chin, Lynda, Chu, Andy, Chuah, Eric, Cibulskis, Kristian, Clarke, Amanda, Coetzee, Simon G., Dhalla, Noreen, Fennell, Tim, Fisher, Sheila, Gabriel, Stacey, Getz, Gad, Gibbs, Richard, Grimsby, Jonna L., Guin, Ranabir, Hadjipanayis, Angela, Hayes, Neil D., Hinoue, Toshinori, Hoadley, Katherine, Holt, Robert A., Hoyle, Alan P., Huang, Franklin, Jefferys, Stuart R., Jones, Steven, Jones, Corbin D., Kucherlapati, Raju, Lai, Phillip H., Lander, Eric, Lee, Semin, Lichtenstein, Lee, Ma, Yussanne, Maglinte, Dennis T., Mahadeshwar, Harshad S., Marra, Marco A., Mayo, Michael, Meng, Shaowu, Meyerson, Matthew L., Mieczkowski, Piotr A., Moore, Richard A., Mose, Lisle E., Mungall, Andrew J., Pantazi, Angeliki, Parfenov, Michael, Park, Peter J., Parker, Joel S., Perou, Charles M., Protopopov, Alexei, Ren, Xiaojia, Roach, Jeffrey, Rosenberg, Mara, Sabedot, Thaís S., Sadeghi, Sara, Schein, Jacqueline, Schumacher, Steven E., Seidman, Jonathan G., Seth, Sahil, Shen, Hui, Simons, Janae V., Sipahimalani, Payal, Soloway, Matthew G., Song, Xingzhi, Stewart, Chip, Sun, Huandong, Tabak, Barbara, Tam, Angela, Tan, Donghui, Tang, Jiabin, Thiessen, Nina, Triche, Timothy, Jr., Van Den Berg, David J., Veluvolu, Umadevi, Waring, Scot, Weisenberger, Daniel J., Wilkerson, Matthew D., Wong, Tina, Wu, Junyuan, Xi, Liu, Xu, Andrew W., Yang, Lixing, Zack, Travis I., Zhang, Jianhua, Aksoy, Arman B., Arachchi, Harindra, Benz, Chris, Bernard, Brady, Carlin, Daniel, Cho, Juok, DiCara, Daniel, Frazer, Scott, Fuller, Gregory N., Gao, JianJiong, Gehlenborg, Nils, Haussler, David, Heiman, David I., Iype, Lisa, Jacobsen, Anders, Ju, Zhenlin, Katzman, Sol, Kim, Hoon, Knijnenburg, Theo, Kreisberg, Richard Bailey, Lawrence, Michael S., Lee, William, Leinonen, Kalle, Lin, Pei, Ling, Shiyun, Liu, Wenbin, Liu, Yingchun, Liu, Yuexin, Lu, Yiling, Mills, Gordon, Ng, Sam, Noble, Michael S., Paull, Evan, Radenbaugh, Amie J., Rao, Arvind, Reynolds, Sheila, Saksena, Gordon, Sanborn, Zack, Sander, Chris, Schultz, Nikolaus, Senbabaoglu, Yasin, Shen, Ronglai, Shmulevich, Ilya, Sinha, Rileen, Stuart, Josh, Sumer, Onur S., Sun, Yichao, Tasman, Natalie, Taylor, Barry S., Voet, Doug, Weinhold, Nils, Weinstein, John N., Yang, Da, Zhang, Wei, Zou, Lihua, Abel, Ty, Brat, Daniel J., Cohen, Mark L., Eschbacher, Jenny, Hattab, Eyas M., Raghunathan, Aditya, Schniederjan, Matthew J., Aziz, Dina, Barnett, Gene, Barrett, Wendi, Bigner, Darell D., Boice, Lori, Brewer, Cathy, Calatozzolo, Chiara, Carlotti, Carlos Gilberto, Jr, Chan, Timothy A., Cuppini, Lucia, Curley, Erin, Cuzzubbo, Stefania, Devine, Karen, DiMeco, Francesco, Duell, Rebecca, Elder, Bradley J, Fehrenbach, Ashley, Finocchiaro, Gaetano, Friedman, William, Fulop, Jordonna, Gardner, Johanna, Hermes, Beth, Kendler, Ady, Lehman, Norman L., Lipp, Eric, Liu, Ouida, Mandt, Randy, McGraw, Mary, McLendon, Roger, McPherson, Christopher, Neder, Luciano, Nguyen, Phuong, Noss, Ardene, Nunziata, Raffaele, Ostrom, Quinn T., Palmer, Cheryl, Perin, Alessandro, Pollo, Bianca, Potapov, Alexander, Potapova, Olga, Rathmell, Kimryn W., Rotin, Daniil, Scarpace, Lisa, Schilero, Cathy, Senecal, Kelly, Shimmel, Kristen, Shurkhay, Vsevolod, Sifri, Suzanne, Singh, Rosy, Sloan, Andrew E., Smolenski, Kathy, Staugaitis, Susan M., Steele, Ruth, Thorne, Leigh, Tirapelli, Daniela P.C., Vallurupalli, Mahitha, Wang, Yun, Warnick, Ronald, Williams, Felicia, Wolinsky, Yingli, Zhang, Jianan, Bell, Sue, Campos, Benito, Herold-Mende, Christel, Jungk, Christine, and Unterberg, Andreas

Published
2015

246. Psychosocial factors associated with genetic testing status among African American women with ovarian cancer: Results from the African American Cancer Epidemiology Study

Author

McBride, Colleen M., primary, Pathak, Sarita, additional, Johnson, Courtney E., additional, Alberg, Anthony J., additional, Bandera, Elisa V., additional, Barnholtz‐Sloan, Jill S., additional, Bondy, Melissa L., additional, Cote, Michele L., additional, Moorman, Patricia G., additional, Peres, Lauren C., additional, Peters, Edward S., additional, Schwartz, Ann G., additional, Terry, Paul D., additional, and Schildkraut, Joellen M., additional

Published
2021
Full Text
View/download PDF

248. Independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825

Author

Patil, Nirav, primary, Somasundaram, Eashwar, additional, Waite, Kristin A., additional, Lathia, Justin D., additional, Machtay, Mitchell, additional, Gilbert, Mark R., additional, Connor, James R., additional, Rubin, Joshua B., additional, Berens, Michael E., additional, Buerki, Robin A., additional, Choi, Serah, additional, Sloan, Andrew E., additional, Penas-Prado, Marta, additional, Ashby, Lynn S., additional, Blumenthal, Deborah T., additional, Werner-Wasik, Maria, additional, Hunter, Grant K., additional, Flickinger, John C., additional, Wendland, Merideth M., additional, Panet-Raymond, Valerie, additional, Robins, H. Ian, additional, Pugh, Stephanie L., additional, Mehta, Minesh P., additional, and Barnholtz-Sloan, Jill S., additional

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results