An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics
01 Pubblicazione su rivista
Liu Jianfang, Lichtenberg Tara, Hoadley Katherine A., Poisson Laila M., Lazar Alexander J., Cherniack Andrew D., Kovatich Albert J., Benz Christopher C., Levine Douglas A., Lee Adrian V., Omberg Larsson, Wolf Denise M., Shriver Craig D., Thorsson Vesteinn, Caesar-Johnson Samantha J., Demchok John A., Felau Ina, Kasapi Melpomeni, Ferguson Martin L., Hutter Carolyn M., Sofia Heidi J., Tarnuzzer Roy, Wang Zhining, Yang Liming, Zenklusen Jean C., Zhang Jiashan (Julia), Chudamani Sudha, Liu Jia, Lolla Laxmi, Naresh Rashi, Pihl Todd, Sun Qiang, Wan Yunhu, Wu Ye, Cho Juok, Defreitas Timothy, Frazer Scott, Gehlenborg Nils, Getz Gad, Heiman David I., Kim Jaegil, Lawrence Michael S., Lin Pei, Meier Sam, Noble Michael S., Saksena Gordon, Voet Doug, Zhang Hailei, Bernard Brady, Chambwe Nyasha, Dhankani Varsha, Knijnenburg Theo, Kramer Roger, Leinonen Kalle, Liu Yuexin, Miller Michael, Reynolds Sheila, Shmulevich Ilya, Thorsson Vesteinn, Zhang Wei, Akbani Rehan, Broom Bradley M., Hegde Apurva M., Ju Zhenlin, Kanchi Rupa S., Korkut Anil, Li Jun, Liang Han, Ling Shiyun, Liu Wenbin, Lu Yiling, Mills Gordon B., Ng Kwok-Shing, Rao Arvind, Ryan Michael, Wang Jing, Weinstein John N., Zhang Jiexin, Abeshouse Adam, Armenia Joshua, Chakravarty Debyani, Chatila Walid K., de Bruijn Ino, Gao Jianjiong, Gross Benjamin E., Heins Zachary J., Kundra Ritika, La Konnor, Ladanyi Marc, Luna Augustin, Nissan Moriah G., Ochoa Angelica, Phillips Sarah M., Reznik Ed, Sanchez-Vega Francisco, Sander Chris, Schultz Nikolaus, Sheridan Robert, Sumer S. Onur, Sun Yichao, Taylor Barry S., Wang Jioajiao, Zhang Hongxin, Anur Pavana, Peto Myron, Spellman Paul, Benz Christopher, Stuart Joshua M., Wong Christopher K., Yau Christina, Hayes D. Neil, Parker Joel S., Wilkerson Matthew D., Ally Adrian, Balasundaram Miruna, Bowlby Reanne, Brooks Denise, Carlsen Rebecca, Chuah Eric, Dhalla Noreen, Holt Robert, Jones Steven J. M., Kasaian Katayoon, Lee Darlene, Ma Yussanne, Marra Marco A., Mayo Michael, Moore Richard A., Mungall Andrew J., Mungall Karen, Robertson A. Gordon, Sadeghi Sara, Schein Jacqueline E., Sipahimalani Payal, Tam Angela, Thiessen Nina, Tse Kane, Wong Tina, Berger Ashton C., Beroukhim Rameen, Cherniack Andrew D., Cibulskis Carrie, Gabriel Stacey B., Gao Galen F., Ha Gavin, Meyerson Matthew, Schumacher Steven E., Shih Juliann, Kucherlapati Melanie H., Kucherlapati Raju S., Baylin Stephen, Cope Leslie, Danilova Ludmila, Bootwalla Moiz S., Lai Phillip H., Maglinte Dennis T., Van Den Berg David J., Weisenberger Daniel J., Auman J. Todd, Balu Saianand, Bodenheimer Tom, Fan Cheng, Hoadley Katherine A., Hoyle Alan P., Jefferys Stuart R., Jones Corbin D., Meng Shaowu, Mieczkowski Piotr A., Mose Lisle E., Perou Amy H., Perou Charles M., Roach Jeffrey, Shi Yan, Simons Janae V., Skelly Tara, Soloway Matthew G., Tan Donghui, Veluvolu Umadevi, Fan Huihui, Hinoue Toshinori, Laird Peter W., Shen Hui, Zhou Wanding, Bellair Michelle, Chang Kyle, Covington Kyle, Creighton Chad J., Dinh Huyen, Doddapaneni Harshavardhan, Donehower Lawrence A., Drummond Jennifer, Gibbs Richard A., Glenn Robert, Hale Walker, Han Yi, Hu Jianhong, Korchina Viktoriya, Lee Sandra, Lewis Lora, Li Wei, Liu Xiuping, Morgan Margaret, Morton Donna, Muzny Donna, Santibanez Jireh, Sheth Margi, Shinbro Eve, Wang Linghua, Wang Min, Wheeler David A., Xi Liu, Zhao Fengmei, Hess Julian, Appelbaum Elizabeth L., Bailey Matthew, Cordes Matthew G., Ding Li, Fronick Catrina C., Fulton Lucinda A., Fulton Robert S., Kandoth Cyriac, Mardis Elaine R., Mclellan Michael D., Miller Christopher A., Schmidt Heather K., Wilson Richard K., Crain Daniel, Curley Erin, Gardner Johanna, Lau Kevin, Mallery David, Morris Scott, Paulauskis Joseph, Penny Robert, Shelton Candace, Shelton Troy, Sherman Mark, Th
ISSN: 0092-8674
For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types.
