921 results on '"Agrawal, Nishant"'
Search Results
102. Supplemental Figure 3 from Notch1 Mutations Are Drivers of Oral Tumorigenesis
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Izumchenko, Evgeny, primary, Sun, Kai, primary, Jones, Sian, primary, Brait, Mariana, primary, Agrawal, Nishant, primary, Koch, Wayne, primary, McCord, Christine L., primary, Riley, David R., primary, Angiuoli, Samuel V., primary, Velculescu, Victor E., primary, Jiang, Wei-Wen, primary, and Sidransky, David, primary
- Published
- 2023
- Full Text
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103. Data from Whole-Genome Sequencing of Salivary Gland Adenoid Cystic Carcinoma
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Rettig, Eleni M., primary, Talbot, C. Conover, primary, Sausen, Mark, primary, Jones, Sian, primary, Bishop, Justin A., primary, Wood, Laura D., primary, Tokheim, Collin, primary, Niknafs, Noushin, primary, Karchin, Rachel, primary, Fertig, Elana J., primary, Wheelan, Sarah J., primary, Marchionni, Luigi, primary, Considine, Michael, primary, Ling, Shizhang, primary, Fakhry, Carole, primary, Papadopoulos, Nickolas, primary, Kinzler, Kenneth W., primary, Vogelstein, Bert, primary, Ha, Patrick K., primary, and Agrawal, Nishant, primary
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- 2023
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104. Supplemental Tables 1-4 from Notch1 Mutations Are Drivers of Oral Tumorigenesis
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Izumchenko, Evgeny, primary, Sun, Kai, primary, Jones, Sian, primary, Brait, Mariana, primary, Agrawal, Nishant, primary, Koch, Wayne, primary, McCord, Christine L., primary, Riley, David R., primary, Angiuoli, Samuel V., primary, Velculescu, Victor E., primary, Jiang, Wei-Wen, primary, and Sidransky, David, primary
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- 2023
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105. Figure S2 from Whole-Genome Sequencing of Salivary Gland Adenoid Cystic Carcinoma
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Rettig, Eleni M., primary, Talbot, C. Conover, primary, Sausen, Mark, primary, Jones, Sian, primary, Bishop, Justin A., primary, Wood, Laura D., primary, Tokheim, Collin, primary, Niknafs, Noushin, primary, Karchin, Rachel, primary, Fertig, Elana J., primary, Wheelan, Sarah J., primary, Marchionni, Luigi, primary, Considine, Michael, primary, Ling, Shizhang, primary, Fakhry, Carole, primary, Papadopoulos, Nickolas, primary, Kinzler, Kenneth W., primary, Vogelstein, Bert, primary, Ha, Patrick K., primary, and Agrawal, Nishant, primary
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- 2023
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106. Supplementary Table 1 from Cleaved NOTCH1 Expression Pattern in Head and Neck Squamous Cell Carcinoma Is Associated with NOTCH1 Mutation, HPV Status, and High-Risk Features
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Rettig, Eleni M., primary, Chung, Christine H., primary, Bishop, Justin A., primary, Howard, Jason D., primary, Sharma, Rajni, primary, Li, Ryan J., primary, Douville, Christopher, primary, Karchin, Rachel, primary, Izumchenko, Evgeny, primary, Sidransky, David, primary, Koch, Wayne, primary, Califano, Joseph, primary, Agrawal, Nishant, primary, and Fakhry, Carole, primary
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- 2023
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107. Supplemental Figure 1 from Notch1 Mutations Are Drivers of Oral Tumorigenesis
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Izumchenko, Evgeny, primary, Sun, Kai, primary, Jones, Sian, primary, Brait, Mariana, primary, Agrawal, Nishant, primary, Koch, Wayne, primary, McCord, Christine L., primary, Riley, David R., primary, Angiuoli, Samuel V., primary, Velculescu, Victor E., primary, Jiang, Wei-Wen, primary, and Sidransky, David, primary
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- 2023
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- View/download PDF
108. Supplementary Table S2 from Whole-Exome Sequencing of Salivary Gland Mucoepidermoid Carcinoma
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Kang, Hyunseok, primary, Tan, Marietta, primary, Bishop, Justin A., primary, Jones, Siân, primary, Sausen, Mark, primary, Ha, Patrick K., primary, and Agrawal, Nishant, primary
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- 2023
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109. Supplementary Methods, Tables 1 - 4, Figures 1 - 10 from Tadalafil Augments Tumor Specific Immunity in Patients with Head and Neck Squamous Cell Carcinoma
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Califano, Joseph A., primary, Khan, Zubair, primary, Noonan, Kimberly A., primary, Rudraraju, Lakshmi, primary, Zhang, Zhe, primary, Wang, Hao, primary, Goodman, Steven, primary, Gourin, Christine G., primary, Ha, Patrick K., primary, Fakhry, Carole, primary, Saunders, John, primary, Levine, Marshall, primary, Tang, Mei, primary, Neuner, Geoffrey, primary, Richmon, Jeremy D., primary, Blanco, Ray, primary, Agrawal, Nishant, primary, Koch, Wayne M., primary, Marur, Shanthi, primary, Weed, Donald T., primary, Serafini, Paolo, primary, and Borrello, Ivan, primary
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- 2023
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110. Supplementary Figure 6 from Activation of the NOTCH Pathway in Head and Neck Cancer
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Sun, Wenyue, primary, Gaykalova, Daria A., primary, Ochs, Michael F., primary, Mambo, Elizabeth, primary, Arnaoutakis, Demetri, primary, Liu, Yan, primary, Loyo, Myriam, primary, Agrawal, Nishant, primary, Howard, Jason, primary, Li, Ryan, primary, Ahn, Sun, primary, Fertig, Elana, primary, Sidransky, David, primary, Houghton, Jeffery, primary, Buddavarapu, Kalyan, primary, Sanford, Tiffany, primary, Choudhary, Ashish, primary, Darden, Will, primary, Adai, Alex, primary, Latham, Gary, primary, Bishop, Justin, primary, Sharma, Rajni, primary, Westra, William H., primary, Hennessey, Patrick, primary, Chung, Christine H., primary, and Califano, Joseph A., primary
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- 2023
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111. Supplementary Figure 1 from Activation of the NOTCH Pathway in Head and Neck Cancer
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Sun, Wenyue, primary, Gaykalova, Daria A., primary, Ochs, Michael F., primary, Mambo, Elizabeth, primary, Arnaoutakis, Demetri, primary, Liu, Yan, primary, Loyo, Myriam, primary, Agrawal, Nishant, primary, Howard, Jason, primary, Li, Ryan, primary, Ahn, Sun, primary, Fertig, Elana, primary, Sidransky, David, primary, Houghton, Jeffery, primary, Buddavarapu, Kalyan, primary, Sanford, Tiffany, primary, Choudhary, Ashish, primary, Darden, Will, primary, Adai, Alex, primary, Latham, Gary, primary, Bishop, Justin, primary, Sharma, Rajni, primary, Westra, William H., primary, Hennessey, Patrick, primary, Chung, Christine H., primary, and Califano, Joseph A., primary
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- 2023
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112. Data from Activation of the NOTCH Pathway in Head and Neck Cancer
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Sun, Wenyue, primary, Gaykalova, Daria A., primary, Ochs, Michael F., primary, Mambo, Elizabeth, primary, Arnaoutakis, Demetri, primary, Liu, Yan, primary, Loyo, Myriam, primary, Agrawal, Nishant, primary, Howard, Jason, primary, Li, Ryan, primary, Ahn, Sun, primary, Fertig, Elana, primary, Sidransky, David, primary, Houghton, Jeffery, primary, Buddavarapu, Kalyan, primary, Sanford, Tiffany, primary, Choudhary, Ashish, primary, Darden, Will, primary, Adai, Alex, primary, Latham, Gary, primary, Bishop, Justin, primary, Sharma, Rajni, primary, Westra, William H., primary, Hennessey, Patrick, primary, Chung, Christine H., primary, and Califano, Joseph A., primary
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- 2023
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113. Supplementary Figure Legend from Activation of the NOTCH Pathway in Head and Neck Cancer
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Sun, Wenyue, primary, Gaykalova, Daria A., primary, Ochs, Michael F., primary, Mambo, Elizabeth, primary, Arnaoutakis, Demetri, primary, Liu, Yan, primary, Loyo, Myriam, primary, Agrawal, Nishant, primary, Howard, Jason, primary, Li, Ryan, primary, Ahn, Sun, primary, Fertig, Elana, primary, Sidransky, David, primary, Houghton, Jeffery, primary, Buddavarapu, Kalyan, primary, Sanford, Tiffany, primary, Choudhary, Ashish, primary, Darden, Will, primary, Adai, Alex, primary, Latham, Gary, primary, Bishop, Justin, primary, Sharma, Rajni, primary, Westra, William H., primary, Hennessey, Patrick, primary, Chung, Christine H., primary, and Califano, Joseph A., primary
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- 2023
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114. Supplementary Figure 4 from Activation of the NOTCH Pathway in Head and Neck Cancer
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Sun, Wenyue, primary, Gaykalova, Daria A., primary, Ochs, Michael F., primary, Mambo, Elizabeth, primary, Arnaoutakis, Demetri, primary, Liu, Yan, primary, Loyo, Myriam, primary, Agrawal, Nishant, primary, Howard, Jason, primary, Li, Ryan, primary, Ahn, Sun, primary, Fertig, Elana, primary, Sidransky, David, primary, Houghton, Jeffery, primary, Buddavarapu, Kalyan, primary, Sanford, Tiffany, primary, Choudhary, Ashish, primary, Darden, Will, primary, Adai, Alex, primary, Latham, Gary, primary, Bishop, Justin, primary, Sharma, Rajni, primary, Westra, William H., primary, Hennessey, Patrick, primary, Chung, Christine H., primary, and Califano, Joseph A., primary
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- 2023
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115. Supplementary Tables 1 - 4 from Activation of the NOTCH Pathway in Head and Neck Cancer
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Sun, Wenyue, primary, Gaykalova, Daria A., primary, Ochs, Michael F., primary, Mambo, Elizabeth, primary, Arnaoutakis, Demetri, primary, Liu, Yan, primary, Loyo, Myriam, primary, Agrawal, Nishant, primary, Howard, Jason, primary, Li, Ryan, primary, Ahn, Sun, primary, Fertig, Elana, primary, Sidransky, David, primary, Houghton, Jeffery, primary, Buddavarapu, Kalyan, primary, Sanford, Tiffany, primary, Choudhary, Ashish, primary, Darden, Will, primary, Adai, Alex, primary, Latham, Gary, primary, Bishop, Justin, primary, Sharma, Rajni, primary, Westra, William H., primary, Hennessey, Patrick, primary, Chung, Christine H., primary, and Califano, Joseph A., primary
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- 2023
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116. Supplementary Figure 3 from Activation of the NOTCH Pathway in Head and Neck Cancer
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Sun, Wenyue, primary, Gaykalova, Daria A., primary, Ochs, Michael F., primary, Mambo, Elizabeth, primary, Arnaoutakis, Demetri, primary, Liu, Yan, primary, Loyo, Myriam, primary, Agrawal, Nishant, primary, Howard, Jason, primary, Li, Ryan, primary, Ahn, Sun, primary, Fertig, Elana, primary, Sidransky, David, primary, Houghton, Jeffery, primary, Buddavarapu, Kalyan, primary, Sanford, Tiffany, primary, Choudhary, Ashish, primary, Darden, Will, primary, Adai, Alex, primary, Latham, Gary, primary, Bishop, Justin, primary, Sharma, Rajni, primary, Westra, William H., primary, Hennessey, Patrick, primary, Chung, Christine H., primary, and Califano, Joseph A., primary
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- 2023
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117. Supplementary Figure 5 from Activation of the NOTCH Pathway in Head and Neck Cancer
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Sun, Wenyue, primary, Gaykalova, Daria A., primary, Ochs, Michael F., primary, Mambo, Elizabeth, primary, Arnaoutakis, Demetri, primary, Liu, Yan, primary, Loyo, Myriam, primary, Agrawal, Nishant, primary, Howard, Jason, primary, Li, Ryan, primary, Ahn, Sun, primary, Fertig, Elana, primary, Sidransky, David, primary, Houghton, Jeffery, primary, Buddavarapu, Kalyan, primary, Sanford, Tiffany, primary, Choudhary, Ashish, primary, Darden, Will, primary, Adai, Alex, primary, Latham, Gary, primary, Bishop, Justin, primary, Sharma, Rajni, primary, Westra, William H., primary, Hennessey, Patrick, primary, Chung, Christine H., primary, and Califano, Joseph A., primary
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- 2023
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118. Supplementary Methods from Activation of the NOTCH Pathway in Head and Neck Cancer
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Sun, Wenyue, primary, Gaykalova, Daria A., primary, Ochs, Michael F., primary, Mambo, Elizabeth, primary, Arnaoutakis, Demetri, primary, Liu, Yan, primary, Loyo, Myriam, primary, Agrawal, Nishant, primary, Howard, Jason, primary, Li, Ryan, primary, Ahn, Sun, primary, Fertig, Elana, primary, Sidransky, David, primary, Houghton, Jeffery, primary, Buddavarapu, Kalyan, primary, Sanford, Tiffany, primary, Choudhary, Ashish, primary, Darden, Will, primary, Adai, Alex, primary, Latham, Gary, primary, Bishop, Justin, primary, Sharma, Rajni, primary, Westra, William H., primary, Hennessey, Patrick, primary, Chung, Christine H., primary, and Califano, Joseph A., primary
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- 2023
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119. Supplementary Figure 2 from Activation of the NOTCH Pathway in Head and Neck Cancer
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Sun, Wenyue, primary, Gaykalova, Daria A., primary, Ochs, Michael F., primary, Mambo, Elizabeth, primary, Arnaoutakis, Demetri, primary, Liu, Yan, primary, Loyo, Myriam, primary, Agrawal, Nishant, primary, Howard, Jason, primary, Li, Ryan, primary, Ahn, Sun, primary, Fertig, Elana, primary, Sidransky, David, primary, Houghton, Jeffery, primary, Buddavarapu, Kalyan, primary, Sanford, Tiffany, primary, Choudhary, Ashish, primary, Darden, Will, primary, Adai, Alex, primary, Latham, Gary, primary, Bishop, Justin, primary, Sharma, Rajni, primary, Westra, William H., primary, Hennessey, Patrick, primary, Chung, Christine H., primary, and Califano, Joseph A., primary
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- 2023
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120. Initiation of Early Antiplatelet Therapy Is Associated With Improved Stent Patency After Deep Venous Interventions
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Agrawal, Nishant, primary, Tran, Lillian, additional, Aloziem, Okechukwu, additional, Hager, Eric, additional, Andraska, Elizabeth, additional, Avgerinos, Efthymios, additional, Chaer, Rabih, additional, and Sridharan, Natalie, additional
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- 2023
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121. Clinical Outcomes and Hospital Utilization Among Patients Undergoing Bariatric Surgery With Telemedicine Preoperative Care
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Hlavin, Callie, primary, Ingraham, Phoebe, additional, Byrd, Tamara, additional, Hyre, Nathan, additional, Gabriel, Lucine, additional, Agrawal, Nishant, additional, Allen, Laura, additional, Kenkre, Tanya, additional, Watson, Andrew, additional, Kaynar, Murat, additional, Ahmed, Bestoun, additional, and Courcoulas, Anita, additional
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- 2023
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122. The Liquid Biopsy Consortium: Challenges and opportunities for early cancer detection and monitoring.
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Batool, Syeda, Batool, Syeda, Yekula, Anudeep, Khanna, Prerna, Hsia, Tiffaney, Gamblin, Austin, Ekanayake, Emil, Escobedo, Ana, You, Dong, Castro, Cesar, Im, Hyungsoon, Kilic, Tugba, Garlin, Michelle, Skog, Johan, Dinulescu, Daniela, Dudley, Jonathan, Agrawal, Nishant, Cheng, Jordan, Abtin, Fereidoun, Aberle, Denise, Chia, David, Elashoff, David, Grognan, Tristan, Oh, Scott, Strom, Charles, Tu, Michael, Wei, Fang, Xian, Rena, Skates, Steven, Zhang, David, Trinh, Thi, Watson, Mark, Aft, Rebecca, Rawal, Siddarth, Agarwal, Ashutosh, Kesmodel, Susan, Yang, Changhuei, Shen, Cheng, Hochberg, Fred, Wong, David, Patel, Abhijit, Papadopoulos, Nickolas, Bettegowda, Chetan, Cote, Richard, Srivastava, Sudhir, Lee, Hakho, Carter, Bob, Balaj, Leonora, Krysan, Kostyantyn, Batool, Syeda, Batool, Syeda, Yekula, Anudeep, Khanna, Prerna, Hsia, Tiffaney, Gamblin, Austin, Ekanayake, Emil, Escobedo, Ana, You, Dong, Castro, Cesar, Im, Hyungsoon, Kilic, Tugba, Garlin, Michelle, Skog, Johan, Dinulescu, Daniela, Dudley, Jonathan, Agrawal, Nishant, Cheng, Jordan, Abtin, Fereidoun, Aberle, Denise, Chia, David, Elashoff, David, Grognan, Tristan, Oh, Scott, Strom, Charles, Tu, Michael, Wei, Fang, Xian, Rena, Skates, Steven, Zhang, David, Trinh, Thi, Watson, Mark, Aft, Rebecca, Rawal, Siddarth, Agarwal, Ashutosh, Kesmodel, Susan, Yang, Changhuei, Shen, Cheng, Hochberg, Fred, Wong, David, Patel, Abhijit, Papadopoulos, Nickolas, Bettegowda, Chetan, Cote, Richard, Srivastava, Sudhir, Lee, Hakho, Carter, Bob, Balaj, Leonora, and Krysan, Kostyantyn
- Abstract
The emerging field of liquid biopsy stands at the forefront of novel diagnostic strategies for cancer and other diseases. Liquid biopsy allows minimally invasive molecular characterization of cancers for diagnosis, patient stratification to therapy, and longitudinal monitoring. Liquid biopsy strategies include detection and monitoring of circulating tumor cells, cell-free DNA, and extracellular vesicles. In this review, we address the current understanding and the role of existing liquid-biopsy-based modalities in cancer diagnostics and monitoring. We specifically focus on the technical and clinical challenges associated with liquid biopsy and biomarker development being addressed by the Liquid Biopsy Consortium, established through the National Cancer Institute. The Liquid Biopsy Consortium has developed new methods/assays and validated existing methods/technologies to capture and characterize tumor-derived circulating cargo, as well as addressed existing challenges and provided recommendations for advancing biomarker assays.
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- 2023
123. Neck incision planning for total laryngectomy: A finite element analysis
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Feng, Allen L., Clark, James H., Agrawal, Nishant, Moussa, Walied, and Richmon, Jeremy D.
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- 2015
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124. Doctoral abstract
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Agrawal, Nishant
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- 2020
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125. Supply Chain Flexibility and Post-pandemic Resilience
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Agrawal, Nishant, Sharma, Mahak, Raut, Rakesh D., Mangla, Sachin Kumar, and Arisian, Sobhan
- Abstract
The COVID-19 outbreak in 2020–2021 caused unprecedented disruptions to global supply networks. Companies worldwide faced significant challenges as they dealt with the unexpected surge in demand for specific goods and services. This study delves into the importance of supply chain coordination (SCCO), supply chain resilience (SCRE), and supply chain robustness (SCRB), considering supply chain flexibility (SCFL) and Internet of Things and Big Data Analytics (IoT-BDA) integration. We explore how SCFL influences SCCO, SCRE, and SCRB, enhancing supply chain performance (SCFP). Using a cross sectional approach, we collected survey-based responses to ensure comprehensive representation from the supply chain domain. A total of 217 complete responses were collected and analyzed using AMOS 20. The findings suggest that SCCO, SCRE, and SCRB act as mediators between SCFL and IoT-BDA. However, statistical significance between SCCO and SCRB with SCRE was not established. The study emphasizes the robust predictive nature of SCFL, highlighting its pivotal role in fostering SCCO, SCRE, and SCBR through empirical evidence. Furthermore, it emphasizes the influence of SCFL on enhancing SCFP, particularly in the post-pandemic era.
- Published
- 2024
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126. Microbial Changes Associated With Oral Cavity Cancer Progression
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Yan, Kenneth, primary, Auger, Samuel, additional, Diaz, Ashley, additional, Naman, Julia, additional, Vemulapalli, Ramya, additional, Hasina, Rifat, additional, Izumchenko, Evgeny, additional, Shogan, Benjamin, additional, and Agrawal, Nishant, additional
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- 2023
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127. Ganglioneuroblastoma Presenting as Obstructive Sleep Apnea in a 5-Year-Old Boy
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Wallace, Aaron, primary, Kaufmann, Gabe, additional, Agrawal, Nishant, additional, and Baroody, Fuad, additional
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- 2023
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128. Personalizing Surveillance in Head and Neck Cancer
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Hanna, Glenn J., primary, Patel, Nirali, additional, Tedla, Sara G., additional, Baugnon, Kristen L., additional, Aiken, Ashley, additional, and Agrawal, Nishant, additional
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- 2023
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129. Abstract A085: Racial differences in organ preservation with definitive chemoradiotherapy among patients with T4 laryngeal squamous cell carcinoma
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Hara, Jared H., primary, Freeman, Jason Q., additional, Kochanny, Sara E., additional, Ecanow, Naomi S., additional, Rosenberg, Ari J., additional, Pearson, Alexander T., additional, Gooi, Zhen, additional, Baird, Brandon J., additional, Blair, Elizabeth A., additional, Agrawal, Nishant, additional, Vokes, Everett E., additional, Haraf, Daniel J., additional, and Juloori, Aditya, additional
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- 2023
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130. Клінічні настанови з оцінки потенційно злоякісних захворювань ротової порожнини. Звіт Американської стоматологічної асоціації
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Lingen, Mark W., primary, Abt, Elliot, additional, Agrawal, Nishant, additional, Chaturvedi, Anil K., additional, Cohen, Ezra, additional, DʼSouza, Gypsyamber, additional, Gurenlian, JoAnn, additional, Kalmar, John R., additional, Kerr, Alexander R., additional, Lambert, Paul M., additional, Patton, Lauren L., additional, Sollecito, Thomas P., additional, Truelove, Edmond, additional, Tampi, Malavika P., additional, Urquhart, Olivia, additional, Banfield, Laura, additional, and Carrasco-Labra, Alonso, additional
- Published
- 2022
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131. COVID-associated acute limb ischemia during the Delta surge and the effect of vaccines
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Xie, Bowen, primary, Semaan, Dana B., additional, Binko, Mary A., additional, Agrawal, Nishant, additional, Kulkarni, Rohan N., additional, Andraska, Elizabeth A., additional, Sachdev, Ulka, additional, Chaer, Rabih A., additional, Eslami, Mohammad H., additional, Makaroun, Michel S., additional, and Sridharan, Natalie, additional
- Published
- 2022
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132. 1282 Concordance analysis of AI-powered CD8 quantification and automated CD8 topology with manual histopathological assessment across seven solid tumor types
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Guramare, Maria, primary, Agrawal, Nishant, additional, Lee, George, additional, Stanford-Moore, Adam, additional, Lahiri, Abhik, additional, Meghwal, Diksha, additional, Pedawi, Aryan, additional, Fahy, Darren, additional, Biju, Raymond, additional, Khosla, Archit, additional, Pandya, Dimple, additional, Ely, Scott, additional, Trillo-Tinoco, Jimena, additional, Wojcik, John, additional, Gray, Falon, additional, Chen, Benjamin, additional, Brutus, Sergine, additional, Glass, Benjamin, additional, Hedvat, Cyrus, additional, Wapinski, Ilan, additional, Montalto, Michael, additional, Beck, Andrew, additional, Biddle-Snead, Charles, additional, and Baxi, Vipul, additional
- Published
- 2022
- Full Text
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133. 1291 A multi-tumor machine learning model to identify tertiary lymphoid structures in histopathological H&E images as a potential clinical biomarker
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Matos-Cruz, Vanessa, primary, Sargent, Rachel, additional, Chinnaobireddy, Varsha, additional, Pouryahya, Maryam, additional, Lee, George, additional, Fahy, Darren, additional, Kirkup, Christian, additional, Sucipto, Kathleen, additional, Gullapally, Sai, additional, Brosnan-Cashman, Jacqueline, additional, Khosla, Archit, additional, Agrawal, Nishant, additional, Glass, Benjamin, additional, Brutus, Sergine, additional, Yu, Limin, additional, Chen, Benjamin, additional, Baxi, Vipul, additional, and Ely, Scott, additional
- Published
- 2022
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134. A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
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Jiao, Wei, Atwal, Gurnit, Polak, Paz, Karlic, Rosa, Cuppen, Edwin, Al-Shahrour, Fatima, Bailey, Peter J, Biankin, Andrew V, Boutros, Paul C, Campbell, Peter J, Chang, David K, Cooke, Susanna L, Deshpande, Vikram, Faltas, Bishoy M, Faquin, William C, Garraway, Levi, Getz, Gad, Grimmond, Sean M, Haider, Syed, Hoadley, Katherine A, Kaiser, Vera B, Kato, Mamoru, Kübler, Kirsten, Lazar, Alexander J, Li, Constance H, Louis, David N, Margolin, Adam, Martin, Sancha, Nahal-Bose, Hardeep K, Nielsen, G Petur, Nik-Zainal, Serena, Omberg, Larsson, P’ng, Christine, Perry, Marc D, Rheinbay, Esther, Rubin, Mark A, Semple, Colin A, Sgroi, Dennis C, Shibata, Tatsuhiro, Siebert, Reiner, Smith, Jaclyn, Stein, Lincoln D, Stobbe, Miranda D, Sun, Ren X, Thai, Kevin, Wright, Derek W, Wu, Chin-Lee, Yuan, Ke, Zhang, Junjun, Danyi, Alexandra, de Ridder, Jeroen, van Herpen, Carla, Lolkema, Martijn P, Steeghs, Neeltje, Morris, Quaid D, Aaltonen, Lauri A, Abascal, Federico, Abeshouse, Adam, Aburatani, Hiroyuki, Adams, David J, Agrawal, Nishant, Ahn, Keun Soo, Ahn, Sung-Min, Aikata, Hiroshi, Akbani, Rehan, Akdemir, Kadir C, Al-Ahmadie, Hikmat, Al-Sedairy, Sultan T, Alawi, Malik, Albert, Monique, Aldape, Kenneth, Alexandrov, Ludmil B, Ally, Adrian, Alsop, Kathryn, Alvarez, Eva G, Amary, Fernanda, Amin, Samirkumar B, Aminou, Brice, Ammerpohl, Ole, Anderson, Matthew J, Ang, Yeng, Antonello, Davide, Anur, Pavana, Aparicio, Samuel, Appelbaum, Elizabeth L, Arai, Yasuhito, Aretz, Axel, Arihiro, Koji, Ariizumi, Shun-ichi, Armenia, Joshua, Arnould, Laurent, Asa, Sylvia, Assenov, Yassen, Aukema, Sietse, Auman, J Todd, Aure, Miriam RR, Awadalla, Philip, Aymerich, Marta, Bader, Gary D, Baez-Ortega, Adrian, Bailey, Matthew H, Balasundaram, Miruna, Balu, Saianand, Bandopadhayay, Pratiti, Banks, Rosamonde E, Barbi, Stefano, Barbour, Andrew P, Barenboim, Jonathan, Barnholtz-Sloan, Jill, Barr, Hugh, Barrera, Elisabet, Bartlett, John, Bartolome, Javier, Bassi, Claudio, Bathe, Oliver F, Baumhoer, Daniel, Bavi, Prashant, Baylin, Stephen B, Bazant, Wojciech, Beardsmore, Duncan, Beck, Timothy A, Behjati, Sam, Behren, Andreas, Niu, Beifang, Bell, Cindy, Beltran, Sergi, Benz, Christopher, Berchuck, Andrew, Bergmann, Anke K, Bergstrom, Erik N, Berman, Benjamin P, Berney, Daniel M, Bernhart, Stephan H, Beroukhim, Rameen, Berrios, Mario, Bersani, Samantha, Bertl, Johanna, Betancourt, Miguel, Bhandari, Vinayak, Bhosle, Shriram G, Bieg, Matthias, Bigner, Darell, Binder, Hans, Birney, Ewan, Birrer, Michael, Biswas, Nidhan K, Bjerkehagen, Bodil, Bodenheimer, Tom, Boice, Lori, Bonizzato, Giada, De Bono, Johann S, Boot, Arnoud, Bootwalla, Moiz S, Borg, Ake, Borkhardt, Arndt, Boroevich, Keith A, Borozan, Ivan, Borst, Christoph, Bosenberg, Marcus, Bosio, Mattia, Boultwood, Jacqueline, Bourque, Guillaume, Bova, G Steven, Bowen, David T, Bowlby, Reanne, Bowtell, David DL, Boyault, Sandrine, Boyce, Rich, Boyd, Jeffrey, Brazma, Alvis, Brennan, Paul, Brewer, Daniel S, Brinkman, Arie B, Bristow, Robert G, 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Rui, Xiong, Heng, Xu, Qinying, Xu, Yanxun, Xue, Hong, Yachida, Shinichi, Yakneen, Sergei, Yamaguchi, Rui, Yamaguchi, Takafumi N, Yamamoto, Masakazu, Yamamoto, Shogo, Yamaue, Hiroki, Yang, Fan, Yang, Huanming, Yang, Jean Y, Yang, Liming, Yang, Lixing, Yang, Shanlin, Yang, Tsun-Po, Yang, Yang, Yao, Xiaotong, Yaspo, Marie-Laure, Yates, Lucy, Yau, Christina, Ye, Chen, Ye, Kai, Yellapantula, Venkata D, Yoon, Christopher J, Yoon, Sung-Soo, Yousif, Fouad, Yu, Jun, Yu, Kaixian, Yu, Willie, Yu, Yingyan, Yuan, Yuan, Yuen, Denis, Yung, Christina K, Zaikova, Olga, Zamora, Jorge, Zapatka, Marc, Zenklusen, Jean C, Zenz, Thorsten, Zeps, Nikolajs, Zhang, Cheng-Zhong, Zhang, Fan, Zhang, Hailei, Zhang, Hongwei, Zhang, Hongxin, Zhang, Jiashan, Zhang, Jing, Zhang, Xiuqing, Zhang, Xuanping, Zhang, Yan, Zhang, Zemin, Zhao, Zhongming, Zheng, Liangtao, Zheng, Xiuqing, Zhou, Wanding, Zhou, Yong, Zhu, Bin, Zhu, Hongtu, Zhu, Jingchun, Zhu, Shida, Zou, Lihua, Zou, Xueqing, deFazio, Anna, van As, Nicholas, van Deurzen, Carolien HM, van de Vijver, Marc J, Veer, L van’t, and von Mering, Christian
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Human Biology & Physiology ,Ecology,Evolution & Ethology ,Tumour Biology ,Genetics & Genomics ,Structural Biology & Biophysics ,Computational & Systems Biology - Abstract
In cancer, the primary tumour’s organ of origin and histopathology are the strongest determinants of its clinical behaviour, but in 3% of cases a patient presents with a metastatic tumour and no obvious primary. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we train a deep learning classifier to predict cancer type based on patterns of somatic passenger mutations detected in whole genome sequencing (WGS) of 2606 tumours representing 24 common cancer types produced by the PCAWG Consortium. Our classifier achieves an accuracy of 91% on held-out tumor samples and 88% and 83% respectively on independent primary and metastatic samples, roughly double the accuracy of trained pathologists when presented with a metastatic tumour without knowledge of the primary. Surprisingly, adding information on driver mutations reduced accuracy. Our results have clinical applicability, underscore how patterns of somatic passenger mutations encode the state of the cell of origin, and can inform future strategies to detect the source of circulating tumour DNA.
- Published
- 2023
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135. Combined burden and functional impact tests for cancer driver discovery using DriverPower
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Human Biology & Physiology ,Ecology,Evolution & Ethology ,Tumour Biology ,Genetics & Genomics ,Structural Biology & Biophysics ,Computational & Systems Biology - Abstract
The discovery of driver mutations is one of the key motivations for cancer genome sequencing. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we describe DriverPower, a software package that uses mutational burden and functional impact evidence to identify driver mutations in coding and non-coding sites within cancer whole genomes. Using a total of 1373 genomic features derived from public sources, DriverPower’s background mutation model explains up to 93% of the regional variance in the mutation rate across multiple tumour types. By incorporating functional impact scores, we are able to further increase the accuracy of driver discovery. Testing across a collection of 2583 cancer genomes from the PCAWG project, DriverPower identifies 217 coding and 95 non-coding driver candidates. Comparing to six published methods used by the PCAWG Drivers and Functional Interpretation Working Group, DriverPower has the highest F1 score for both coding and non-coding driver discovery. This demonstrates that DriverPower is an effective framework for computational driver discovery.
- Published
- 2023
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136. Integrative pathway enrichment analysis of multivariate omics data
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Vijver, Marc J, and Veer, L van’t
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Human Biology & Physiology ,Ecology,Evolution & Ethology ,Tumour Biology ,Genetics & Genomics ,Structural Biology & Biophysics ,Computational & Systems Biology - Abstract
Multi-omics datasets represent distinct aspects of the central dogma of molecular biology. Such high-dimensional molecular profiles pose challenges to data interpretation and hypothesis generation. ActivePathways is an integrative method that discovers significantly enriched pathways across multiple datasets using statistical data fusion, rationalizes contributing evidence and highlights associated genes. As part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumor types, we integrated genes with coding and non-coding mutations and revealed frequently mutated pathways and additional cancer genes with infrequent mutations. We also analyzed prognostic molecular pathways by integrating genomic and transcriptomic features of 1780 breast cancers and highlighted associations with immune response and anti-apoptotic signaling. Integration of ChIP-seq and RNA-seq data for master regulators of the Hippo pathway across normal human tissues identified processes of tissue regeneration and stem cell regulation. ActivePathways is a versatile method that improves systems-level understanding of cellular organization in health and disease through integration of multiple molecular datasets and pathway annotations.
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- 2023
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137. Pathway and network analysis of more than 2500 whole cancer genomes
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Human Biology & Physiology ,Ecology,Evolution & Ethology ,Tumour Biology ,Genetics & Genomics ,Structural Biology & Biophysics ,Computational & Systems Biology - Abstract
The catalog of cancer driver mutations in protein-coding genes has greatly expanded in the past decade. However, non-coding cancer driver mutations are less well-characterized and only a handful of recurrent non-coding mutations, most notably TERT promoter mutations, have been reported. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancer across 38 tumor types, we perform multi-faceted pathway and network analyses of non-coding mutations across 2583 whole cancer genomes from 27 tumor types compiled by the ICGC/TCGA PCAWG project that was motivated by the success of pathway and network analyses in prioritizing rare mutations in protein-coding genes. While few non-coding genomic elements are recurrently mutated in this cohort, we identify 93 genes harboring non-coding mutations that cluster into several modules of interacting proteins. Among these are promoter mutations associated with reduced mRNA expression in TP53, TLE4, and TCF4. We find that biological processes had variable proportions of coding and non-coding mutations, with chromatin remodeling and proliferation pathways altered primarily by coding mutations, while developmental pathways, including Wnt and Notch, altered by both coding and non-coding mutations. RNA splicing is primarily altered by non-coding mutations in this cohort, and samples containing non-coding mutations in well-known RNA splicing factors exhibit similar gene expression signatures as samples with coding mutations in these genes. These analyses contribute a new repertoire of possible cancer genes and mechanisms that are altered by non-coding mutations and offer insights into additional cancer vulnerabilities that can be investigated for potential therapeutic treatments.
- Published
- 2023
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138. Divergent mutational processes distinguish hypoxic and normoxic tumours
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Bhandari, Vinayak, Li, Constance H, Bristow, Robert G, Boutros, Paul C, Aaltonen, Lauri A, Abascal, Federico, Abeshouse, Adam, Aburatani, Hiroyuki, Adams, David J, Agrawal, Nishant, Ahn, Keun Soo, Ahn, Sung-Min, Aikata, Hiroshi, Akbani, Rehan, Akdemir, Kadir C, Al-Ahmadie, Hikmat, Al-Sedairy, Sultan T, Al-Shahrour, Fatima, Alawi, Malik, Albert, Monique, Aldape, Kenneth, Alexandrov, Ludmil B, Ally, Adrian, Alsop, Kathryn, Alvarez, Eva G, Amary, Fernanda, Amin, Samirkumar B, Aminou, Brice, Ammerpohl, Ole, Anderson, Matthew J, Ang, Yeng, Antonello, Davide, Anur, Pavana, Aparicio, Samuel, Appelbaum, Elizabeth L, Arai, Yasuhito, Aretz, Axel, Arihiro, Koji, Ariizumi, Shun-ichi, Armenia, Joshua, Arnould, Laurent, Asa, Sylvia, Assenov, Yassen, Atwal, Gurnit, Aukema, Sietse, Auman, J Todd, Aure, Miriam RR, Awadalla, Philip, Aymerich, Marta, Bader, Gary D, Baez-Ortega, Adrian, Bailey, Matthew H, Bailey, Peter J, Balasundaram, Miruna, Balu, Saianand, Bandopadhayay, Pratiti, Banks, Rosamonde E, 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Human Biology & Physiology ,Ecology,Evolution & Ethology ,Tumour Biology ,Genetics & Genomics ,Structural Biology & Biophysics ,Computational & Systems Biology - Abstract
Many primary tumours have low levels of molecular oxygen (hypoxia), and hypoxic tumours respond poorly to therapy. Pan-cancer molecular hallmarks of tumour hypoxia remain poorly understood, with limited comprehension of its associations with specific mutational processes, non-coding driver genes and evolutionary features. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we quantify hypoxia in 1188 tumours spanning 27 cancer types. Elevated hypoxia associates with increased mutational load across cancer types, irrespective of underlying mutational class. The proportion of mutations attributed to several mutational signatures of unknown aetiology directly associates with the level of hypoxia, suggesting underlying mutational processes for these signatures. At the gene level, driver mutations in TP53, MYC and PTEN are enriched in hypoxic tumours, and mutations in PTEN interact with hypoxia to direct tumour evolutionary trajectories. Overall, hypoxia plays a critical role in shaping the genomic and evolutionary landscapes of cancer.
- Published
- 2023
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139. Genomic footprints of activated telomere maintenance mechanisms in cancer
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Prinz, Manuel, Pritchard, Antonia L, Prokopec, Stephenie D, Provenzano, Elena, Puente, Xose S, Puig, Sonia, Pulido-Tamayo, Sergio, Pupo, Gulietta M, Purdie, Colin A, Quinn, Michael C, Rabionet, Raquel, Rader, Janet S, Radlwimmer, Bernhard, Radovic, Petar, Raeder, Benjamin, Raine, Keiran M, Ramakrishna, Manasa, Ramakrishnan, Kamna, Ramalingam, Suresh, Raphael, Benjamin J, Rathmell, W Kimryn, Rausch, Tobias, Reifenberger, Guido, Reimand, Jüri, Reis-Filho, Jorge, Reuter, Victor, Reyes-Salazar, Iker, Reyna, Matthew A, Reynolds, Sheila M, Rheinbay, Esther, Riazalhosseini, Yasser, Richardson, Andrea L, Richter, Julia, Ringel, Matthew, Ringnér, Markus, Rino, Yasushi, Roach, Jeffrey, Roberts, Lewis R, Robertson, A Gordon, Robertson, Alan J, Rodriguez, Javier Bartolomé, Rodríguez-González, F Germán, Roehrl, Michael HA, Rohde, Marius, Rokutan, Hirofumi, Romieu, Gilles, Rooman, Ilse, Roques, Tom, Rosebrock, Daniel, Rosenberg, Mara, Rosenstiel, Philip C, Rosenwald, Andreas, Rowe, Edward W, Royo, Romina, Rozen, Steven G, Rubanova, Yulia, Rubin, Mark A, Rubio-Perez, Carlota, Rudneva, Vasilisa A, Rusev, Borislav C, Ruzzenente, Andrea, Rätsch, Gunnar, Sabarinathan, Radhakrishnan, Sabelnykova, Veronica Y, Sadeghi, Sara, Sahinalp, S Cenk, Saini, Natalie, Saito-Adachi, Mihoko, Saksena, Gordon, Salcedo, Adriana, Salgado, Roberto, Salichos, Leonidas, Sallari, Richard, Saller, Charles, Salvia, Roberto, Sam, Michelle, Samra, Jaswinder S, Sanchez-Vega, Francisco, Sander, Chris, Sanders, Grant, Sarin, Rajiv, Sarrafi, Iman, Sasaki-Oku, Aya, Sauer, Torill, Sauter, Guido, Saw, Robyn PM, Scardoni, Maria, Scarlett, Christopher J, Scarpa, Aldo, Scelo, Ghislaine, Schadendorf, Dirk, Schein, Jacqueline E, Schilhabel, Markus B, Schlomm, Thorsten, Schmidt, Heather K, Schramm, Sarah-Jane, Schreiber, Stefan, Schultz, Nikolaus, Schwarz, Roland F, Scolyer, Richard A, Scott, David, Seethala, Raja, Segre, Ayellet V, Selander, Iris, Semple, Colin A, Senbabaoglu, Yasin, Sengupta, Subhajit, Sereni, Elisabetta, Serra, Stefano, Sgroi, Dennis C, Shah, Nimish C, Shahabi, Sagedeh, Shang, Catherine A, Shang, Ping, Shapira, Ofer, Shelton, Troy, Shen, Ciyue, Shen, Hui, Shepherd, Rebecca, Shi, Ruian, Shi, Yan, Shiah, Yu-Jia, Shibata, Tatsuhiro, Shih, Juliann, Shimizu, Eigo, Shimizu, Kiyo, Shin, Seung Jun, Shiraishi, Yuichi, Shmaya, Tal, Shmulevich, Ilya, Shorser, Solomon I, Short, Charles, Shrestha, Raunak, Shringarpure, Suyash S, Shriver, Craig, Shuai, Shimin, Siebert, Reiner, Sieuwerts, Anieta M, Signoretti, Sabina, Sikora, Katarzyna O, Simbolo, Michele, Simon, Ronald, Simons, Janae V, Simpson, Jared T, Simpson, Peter T, Singer, Samuel, Sinnott-Armstrong, Nasa, Sipahimalani, Payal, Skelly, Tara J, Smid, Marcel, Smith, Jaclyn, Smith-McCune, Karen, Socci, Nicholas D, Sofia, Heidi J, Soloway, Matthew G, Song, Lei, Sood, Anil K, Sothi, Sharmila, Sotiriou, Christos, Soulette, Cameron M, Span, Paul N, Spellman, Paul T, Sperandio, Nicola, Spillane, Andrew J, Spiro, Oliver, Spring, Jonathan, Staaf, Johan, Stadler, Peter F, Staib, Peter, Stark, Stefan G, Stebbings, Lucy, Stefánsson, Ólafur Andri, Stegle, Oliver, Stein, Lincoln D, Stenhouse, Alasdair, Stilgenbauer, Stephan, Stobbe, Miranda D, Stratton, Michael R, Stretch, Jonathan R, Struck, Adam J, Stuart, Joshua M, Stunnenberg, Henk G, Su, Hong, Su, Xiaoping, Sun, Ren X, Sungalee, Stephanie, Susak, Hana, Suzuki, Akihiro, Sweep, Fred, Szczepanowski, Monika, Sültmann, Holger, Yugawa, Takashi, Tam, Angela, Tamborero, David, Tan, Benita Kiat Tee, Tan, Donghui, Tan, Patrick, Tanaka, Hiroko, Taniguchi, Hirokazu, Tanskanen, Tomas J, Tarabichi, Maxime, Tarnuzzer, Roy, Tarpey, Patrick, Taschuk, Morgan L, Tatsuno, Kenji, Tavaré, Simon, Taylor, Darrin F, Taylor-Weiner, Amaro, Teague, Jon W, Teh, Bin Tean, Tembe, Varsha, Temes, Javier, Thai, Kevin, Thayer, Sarah P, Thiessen, Nina, Thomas, Gilles, Thomas, Sarah, Thompson, Alan, Thompson, Alastair M, Thompson, John FF, Thompson, R Houston, Thorne, Heather, Thorne, Leigh B, Thorogood, 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Paresh, Vázquez-García, Ignacio, Waddell, Nick M, Wadelius, Claes, Wadi, Lina, Wagener, Rabea, Wang, Jian, Wang, Jiayin, Wang, Linghua, Wang, Qi, Wang, Wenyi, Wang, Yumeng, Wang, Zhining, Waring, Paul M, Warnatz, Hans-Jörg, Warrell, Jonathan, Warren, Anne Y, Waszak, Sebastian M, Wedge, David C, Weichenhan, Dieter, Weinberger, Paul, Weinstein, John N, Weisenberger, Daniel J, Welch, Ian, Wendl, Michael C, Werner, Johannes, Whalley, Justin P, Wheeler, David A, Whitaker, Hayley C, Wigle, Dennis, Wilkerson, Matthew D, Williams, Ashley, Wilmott, James S, Wilson, Gavin W, Wilson, Julie M, Wilson, Richard K, Winterhoff, Boris, Wintersinger, Jeffrey A, Wiznerowicz, Maciej, Wolf, Stephan, Wong, Bernice H, Wong, Tina, Wong, Winghing, Woo, Youngchoon, Wood, Scott, Wouters, Bradly G, Wright, Adam J, Wright, Derek W, Wright, Mark H, Wu, Chin-Lee, Wu, Dai-Ying, Wu, Guanming, Wu, Jianmin, Wu, Kui, Wu, Yang, Wu, Zhenggang, Xi, Liu, Xia, Tian, Xiang, Qian, Xiao, Xiao, Xing, Rui, Xiong, Heng, Xu, Qinying, Xu, Yanxun, Xue, Hong, Yachida, Shinichi, Yakneen, Sergei, Yamaguchi, Rui, Yamaguchi, Takafumi N, Yamamoto, Masakazu, Yamamoto, Shogo, Yamaue, Hiroki, Yang, Fan, Yang, Huanming, Yang, Jean Y, Yang, Liming, Yang, Shanlin, Yang, Tsun-Po, Yang, Yang, Yaspo, Marie-Laure, Yates, Lucy, Yau, Christina, Ye, Chen, Ye, Kai, Yellapantula, Venkata D, Yoon, Christopher J, Yousif, Fouad, Yu, Jun, Yu, Kaixian, Yu, Willie, Yu, Yingyan, Yuan, Ke, Yuan, Yuan, Yuen, Denis, Yung, Christina K, Zaikova, Olga, Zapatka, Marc, Zenklusen, Jean C, Zenz, Thorsten, Zeps, Nikolajs, Zhang, Fan, Zhang, Hailei, Zhang, Hongwei, Zhang, Hongxin, Zhang, Jiashan, Zhang, Jing, Zhang, Junjun, Zhang, Xiuqing, Zhang, Xuanping, Zhang, Yan, Zhang, Zemin, Zhao, Zhongming, Zheng, Liangtao, Zheng, Xiuqing, Zhou, Wanding, Zhou, Yong, Zhu, Bin, Zhu, Hongtu, Zhu, Jingchun, Zhu, Shida, Zou, Lihua, Zou, Xueqing, deFazio, Anna, van As, Nicholas, van Deurzen, Carolien HM, van de Vijver, Marc J, Veer, L van’t, and von Mering, Christian
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Human Biology & Physiology ,Ecology,Evolution & Ethology ,Tumour Biology ,Genetics & Genomics ,Structural Biology & Biophysics ,Computational & Systems Biology - Abstract
Cancers require telomere maintenance mechanisms for unlimited replicative potential. They achieve this through TERT activation or alternative telomere lengthening associated with ATRX or DAXX loss. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we dissect whole-genome sequencing data of over 2500 matched tumor-control samples from 36 different tumor types aggregated within the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium to characterize the genomic footprints of these mechanisms. While the telomere content of tumors with ATRX or DAXX mutations (ATRX/DAXXtrunc) is increased, tumors with TERT modifications show a moderate decrease of telomere content. One quarter of all tumor samples contain somatic integrations of telomeric sequences into non-telomeric DNA. This fraction is increased to 80% prevalence in ATRX/DAXXtrunc tumors, which carry an aberrant telomere variant repeat (TVR) distribution as another genomic marker. The latter feature includes enrichment or depletion of the previously undescribed singleton TVRs TTCGGG and TTTGGG, respectively. Our systematic analysis provides new insight into the recurrent genomic alterations associated with telomere maintenance mechanisms in cancer.
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- 2023
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140. Tumor DNA: an emerging biomarker in head and neck cancer
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Bellairs, Joseph A., Hasina, Rifat, and Agrawal, Nishant
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- 2017
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141. Detection of tumor-derived DNA in cerebrospinal fluid of patients with primary tumors of the brain and spinal cord
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Wang, Yuxuan, Springer, Simeon, Zhang, Ming, McMahon, K. Wyatt, Kinde, Isaac, Dobbyn, Lisa, Ptak, Janine, Brem, Henry, Chaichana, Kaisorn, Gallia, Gary L., Gokaslan, Ziya L., Groves, Mari L., Jallo, George I., Lim, Michael, Olivi, Alessandro, Quinones-Hinojosa, Alfredo, Rigamonti, Daniele, Riggins, Greg J., Sciubba, Daniel M., Weingart, Jon D., Wolinsky, Jean-Paul, Ye, Xiaobu, Oba-Shinjo, Sueli Mieko, Marie, Suely K. N., Holdhoff, Matthias, Agrawal, Nishant, Diaz, Luis A., Papadopoulos, Nickolas, Kinzler, Kenneth W., Vogelstein, Bert, and Bettegowda, Chetan
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- 2015
142. Transparotid and transcervical approaches for removal of deep lobe parotid gland and parapharyngeal space tumors
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Mydlarz, Wojciech K. and Agrawal, Nishant
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- 2014
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143. The use of ultrasound in the search for the primary site of unknown primary head and neck squamous cell cancers
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Fakhry, Carole, Agrawal, Nishant, Califano, Joseph, Messing, Barbara, Liu, Jia, Saunders, John, Ha, Patrick, Coquia, Stephanie, Hamper, Ulrike, Gillison, Maura, and Blanco, Ray
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- 2014
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144. Human papillomavirus status of head and neck cancer as determined in cytologic specimens using the hybrid-capture 2 assay
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Smith, David F., Maleki, Zahra, Coughlan, Diarmuid, Gooi, Zhen, Akpeng, Belinda, Ogawa, Takenori, Bishop, Justin A., Frick, Kevin D., Agrawal, Nishant, Gourin, Christine G., Ha, Patrick K., Koch, Wayne M., Richmon, Jeremy D., Westra, William H., and Pai, Sara I.
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- 2014
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145. Biologic Basis of Personalized Therapy in Head and Neck Squamous Cell Carcinoma
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Tata, Pramila, primary, Subramaniayan, Kalyanasundaram, additional, Suresh, Amritha, additional, Gupta, Vaijayanti, additional, Bahadur, Urvashi, additional, and Agrawal, Nishant, additional
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- 2016
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146. Predictive Factors for Prophylactic Percutaneous Endoscopic Gastrostomy (PEG) Tube Placement and Use in Head and Neck Patients Following Intensity-Modulated Radiation Therapy (IMRT) Treatment: Concordance, Discrepancies, and the Role of Gabapentin
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Yang, Wuyang, McNutt, Todd R., Dudley, Sara A., Kumar, Rachit, Starmer, Heather M., Gourin, Christine G., Moore, Joseph A., Evans, Kimberly, Allen, Mysha, Agrawal, Nishant, Richmon, Jeremy D., Chung, Christine H., and Quon, Harry
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- 2016
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147. Desmoid-Type Fibromatosis of the Tongue
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Al-Saraf, Ali, Yassan, Lindsay, Cipriani, Nicole A., Agrawal, Nishant, Chang, Paul, and Ginat, Daniel T.
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- 2016
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148. Characterizing Lymph Node Burden With Elective Unilateral Neck Irradiation in Human Papillomavirus-Positive Tonsil Squamous Cell Carcinoma: Defining the Upper Limits
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Hara, Jared H, primary, Gutiontov, Stanley I, additional, Uddin, Sophia, additional, Rosenberg, Ari J, additional, Pearson, Alexander T, additional, Gooi, Zhen, additional, Blair, Elizabeth A, additional, Agrawal, Nishant, additional, Vokes, Everett E, additional, Ginat, Daniel T, additional, Haraf, Daniel J, additional, and Juloori, Aditya, additional
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- 2022
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149. Abstract 471: AIM PD-L1-NSCLC: Artificial intelligence-powered PD-L1 quantification for accurate prediction of tumor proportion score in diverse, multi-stain clinical tissue samples
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Griffin, Michael, primary, Gemici, Mevlana, additional, Javed, Ashar, additional, Agrawal, Nishant, additional, Resnick, Murray, additional, Yu, Limin, additional, Hoffman, Sara, additional, Mountain, Victoria, additional, Harisiades, Jamie, additional, Rothney, Megan, additional, Glass, Benjamin, additional, Wapinski, Ilan, additional, Beck, Andrew, additional, and Walk, Eric, additional
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- 2022
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150. COVID-19–Associated Acute Limb Ischemia During the Delta Surge and Effect of Vaccines
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Xie, Bowen, primary, Semaan, Dana B., additional, Binko, Mary, additional, Agrawal, Nishant, additional, Kulkarni, Rohan, additional, Andraska, Elizabeth, additional, Sachdev, Ulka, additional, Chaer, Rabih A., additional, Eslami, Mohammad H., additional, Makaroun, Michel, additional, and Sridharan, Natalie D., additional
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- 2022
- Full Text
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