383 results on '"Whitaker, Hayley"'
Search Results
2. ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation
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Sen, Snigdha, Singh, Saurabh, Pye, Hayley, Moore, Caroline M., Whitaker, Hayley, Punwani, Shonit, Atkinson, David, Panagiotaki, Eleftheria, and Slator, Paddy J.
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Machine Learning - Abstract
Purpose: Demonstrating and assessing self-supervised machine learning fitting of the VERDICT (Vascular, Extracellular and Restricted DIffusion for Cytometry in Tumours) model for prostate. Methods: We derive a self-supervised neural network for fitting VERDICT (ssVERDICT) that estimates parameter maps without training data. We compare the performance of ssVERDICT to two established baseline methods for fitting diffusion MRI models: conventional nonlinear least squares (NLLS) and supervised deep learning. We do this quantitatively on simulated data, by comparing the Pearson's correlation coefficient, mean-squared error (MSE), bias, and variance with respect to the simulated ground truth. We also calculate in vivo parameter maps on a cohort of 20 prostate cancer patients and compare the methods' performance in discriminating benign from cancerous tissue via Wilcoxon's signed-rank test. Results: In simulations, ssVERDICT outperforms the baseline methods (NLLS and supervised DL) in estimating all the parameters from the VERDICT prostate model in terms of Pearson's correlation coefficient, bias, and MSE. In vivo, ssVERDICT shows stronger lesion conspicuity across all parameter maps, and improves discrimination between benign and cancerous tissue over the baseline methods. Conclusion: ssVERDICT significantly outperforms state-of-the-art methods for VERDICT model fitting, and shows for the first time, fitting of a complex three-compartment biophysical model with machine learning without the requirement of explicit training labels., Comment: 12 pages, 5 figures. Submitted to Magnetic Resonance in Medicine
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- 2023
3. Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI
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Palombo, Marco, Valindria, Vanya, Singh, Saurabh, Chiou, Eleni, Giganti, Francesco, Pye, Hayley, Whitaker, Hayley C., Atkinson, David, Punwani, Shonit, Alexander, Daniel C., and Panagiotaki, Eleftheria
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- 2023
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4. Prostate MR image quality of apparent diffusion coefficient maps versus fractional intracellular volume maps from VERDICT MRI using the PI-QUAL score and a dedicated Likert scale for artefacts
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Singh, Saurabh, Giganti, Francesco, Dickinson, Louise, Rogers, Harriet, Kanber, Baris, Clemente, Joey, Pye, Hayley, Heavey, Susan, Stopka-Farooqui, Urszula, Johnston, Edward W., Moore, Caroline M, Freeman, Alex, Whitaker, Hayley C, Alexander, Daniel C, Panagiotaki, Eleftheria, and Punwani, Shonit
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- 2023
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5. Upregulation of GALNT7 in prostate cancer modifies O-glycosylation and promotes tumour growth
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Scott, Emma, Hodgson, Kirsty, Calle, Beatriz, Turner, Helen, Cheung, Kathleen, Bermudez, Abel, Marques, Fernando Jose Garcia, Pye, Hayley, Yo, Edward Christopher, Islam, Khirul, Oo, Htoo Zarni, McClurg, Urszula L., Wilson, Laura, Thomas, Huw, Frame, Fiona M., Orozco-Moreno, Margarita, Bastian, Kayla, Arredondo, Hector M., Roustan, Chloe, Gray, Melissa Anne, Kelly, Lois, Tolson, Aaron, Mellor, Ellie, Hysenaj, Gerald, Goode, Emily Archer, Garnham, Rebecca, Duxfield, Adam, Heavey, Susan, Stopka-Farooqui, Urszula, Haider, Aiman, Freeman, Alex, Singh, Saurabh, Johnston, Edward W., Punwani, Shonit, Knight, Bridget, McCullagh, Paul, McGrath, John, Crundwell, Malcolm, Harries, Lorna, Bogdan, Denisa, Westaby, Daniel, Fowler, Gemma, Flohr, Penny, Yuan, Wei, Sharp, Adam, de Bono, Johann, Maitland, Norman J., Wisnovsky, Simon, Bertozzi, Carolyn R., Heer, Rakesh, Guerrero, Ramon Hurtado, Daugaard, Mads, Leivo, Janne, Whitaker, Hayley, Pitteri, Sharon, Wang, Ning, Elliott, David J., Schumann, Benjamin, and Munkley, Jennifer
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- 2023
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6. Diagnostic potential of radiological apical tumor involvement
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Liebert, Casril, Morka, Naomi, Satish, Pranav, Freeman, Alex, Kelly, Daniel, Kirkham, Alex, Orczyk, Clement, Simpson, Benjamin S., Whitaker, Hayley C., Emberton, Mark, and Norris, Joseph M.
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- 2023
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7. ssVERDICT: Self‐supervised VERDICT‐MRI for enhanced prostate tumor characterization.
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Sen, Snigdha, Singh, Saurabh, Pye, Hayley, Moore, Caroline M., Whitaker, Hayley C., Punwani, Shonit, Atkinson, David, Panagiotaki, Eleftheria, and Slator, Paddy J.
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MACHINE learning ,DIFFUSION magnetic resonance imaging ,PROSTATE cancer patients ,PEARSON correlation (Statistics) ,DEEP learning ,PROSTATE cancer - Abstract
Purpose: Demonstrating and assessing self‐supervised machine‐learning fitting of the VERDICT (vascular, extracellular and restricted diffusion for cytometry in tumors) model for prostate cancer. Methods: We derive a self‐supervised neural network for fitting VERDICT (ssVERDICT) that estimates parameter maps without training data. We compare the performance of ssVERDICT to two established baseline methods for fitting diffusion MRI models: conventional nonlinear least squares and supervised deep learning. We do this quantitatively on simulated data by comparing the Pearson's correlation coefficient, mean‐squared error, bias, and variance with respect to the simulated ground truth. We also calculate in vivo parameter maps on a cohort of 20 prostate cancer patients and compare the methods' performance in discriminating benign from cancerous tissue via Wilcoxon's signed‐rank test. Results: In simulations, ssVERDICT outperforms the baseline methods (nonlinear least squares and supervised deep learning) in estimating all the parameters from the VERDICT prostate model in terms of Pearson's correlation coefficient, bias, and mean‐squared error. In vivo, ssVERDICT shows stronger lesion conspicuity across all parameter maps, and improves discrimination between benign and cancerous tissue over the baseline methods. Conclusion: ssVERDICT significantly outperforms state‐of‐the‐art methods for VERDICT model fitting and shows, for the first time, fitting of a detailed multicompartment biophysical diffusion MRI model with machine learning without the requirement of explicit training labels. [ABSTRACT FROM AUTHOR]
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- 2024
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8. Sequencing of prostate cancers identifies new cancer genes, routes of progression and drug targets
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Wedge, David C, Gundem, Gunes, Mitchell, Thomas, Woodcock, Dan J, Martincorena, Inigo, Ghori, Mohammed, Zamora, Jorge, Butler, Adam, Whitaker, Hayley, Kote-Jarai, Zsofia, Alexandrov, Ludmil B, Van Loo, Peter, Massie, Charlie E, Dentro, Stefan, Warren, Anne Y, Verrill, Clare, Berney, Dan M, Dennis, Nening, Merson, Sue, Hawkins, Steve, Howat, William, Lu, Yong-Jie, Lambert, Adam, Kay, Jonathan, Kremeyer, Barbara, Karaszi, Katalin, Luxton, Hayley, Camacho, Niedzica, Marsden, Luke, Edwards, Sandra, Matthews, Lucy, Bo, Valeria, Leongamornlert, Daniel, McLaren, Stuart, Ng, Anthony, Yu, Yongwei, Zhang, Hongwei, Dadaev, Tokhir, Thomas, Sarah, Easton, Douglas F, Ahmed, Mahbubl, Bancroft, Elizabeth, Fisher, Cyril, Livni, Naomi, Nicol, David, Tavaré, Simon, Gill, Pelvender, Greenman, Christopher, Khoo, Vincent, Van As, Nicholas, Kumar, Pardeep, Ogden, Christopher, Cahill, Declan, Thompson, Alan, Mayer, Erik, Rowe, Edward, Dudderidge, Tim, Gnanapragasam, Vincent, Shah, Nimish C, Raine, Keiran, Jones, David, Menzies, Andrew, Stebbings, Lucy, Teague, Jon, Hazell, Steven, Corbishley, Cathy, CAMCAP Study Group, de Bono, Johann, Attard, Gerhardt, Isaacs, William, Visakorpi, Tapio, Fraser, Michael, Boutros, Paul C, Bristow, Robert G, Workman, Paul, Sander, Chris, The TCGA Consortium, Hamdy, Freddie C, Futreal, Andrew, McDermott, Ultan, Al-Lazikani, Bissan, Lynch, Andrew G, Bova, G Steven, Foster, Christopher S, Brewer, Daniel S, Neal, David E, Cooper, Colin S, and Eeles, Rosalind A
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Genetics ,Human Genome ,Aging ,Cancer ,Urologic Diseases ,Biotechnology ,Prostate Cancer ,Aetiology ,5.1 Pharmaceuticals ,2.1 Biological and endogenous factors ,Development of treatments and therapeutic interventions ,Adult ,Aged ,Aged ,80 and over ,BRCA2 Protein ,Disease Progression ,Hepatocyte Nuclear Factor 3-alpha ,High-Throughput Nucleotide Sequencing ,Humans ,Male ,Middle Aged ,Mutation ,Oncogenes ,Prostatic Neoplasms ,CAMCAP Study Group ,TCGA Consortium ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
Prostate cancer represents a substantial clinical challenge because it is difficult to predict outcome and advanced disease is often fatal. We sequenced the whole genomes of 112 primary and metastatic prostate cancer samples. From joint analysis of these cancers with those from previous studies (930 cancers in total), we found evidence for 22 previously unidentified putative driver genes harboring coding mutations, as well as evidence for NEAT1 and FOXA1 acting as drivers through noncoding mutations. Through the temporal dissection of aberrations, we identified driver mutations specifically associated with steps in the progression of prostate cancer, establishing, for example, loss of CHD1 and BRCA2 as early events in cancer development of ETS fusion-negative cancers. Computational chemogenomic (canSAR) analysis of prostate cancer mutations identified 11 targets of approved drugs, 7 targets of investigational drugs, and 62 targets of compounds that may be active and should be considered candidates for future clinical trials.
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- 2018
9. The architecture of clonal expansions in morphologically normal tissue from cancerous and non-cancerous prostates
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Buhigas, Claudia, Warren, Anne Y., Leung, Wing-Kit, Whitaker, Hayley C., Luxton, Hayley J., Hawkins, Steve, Kay, Jonathan, Butler, Adam, Xu, Yaobo, Woodcock, Dan J., Merson, Sue, Frame, Fiona M., Sahli, Atef, Abascal, Federico, Martincorena, Iñigo, Bova, G. Steven, Foster, Christopher S., Campbell, Peter, Maitland, Norman J., Neal, David E., Massie, Charlie E., Lynch, Andy G., Eeles, Rosalind A., Cooper, Colin S., Wedge, David C., and Brewer, Daniel S.
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- 2022
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10. Mapping PSA density to outcome of MRI-based active surveillance for prostate cancer through joint longitudinal-survival models
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Stavrinides, Vasilis, Papageorgiou, Georgios, Danks, Dominic, Giganti, Francesco, Pashayan, Nora, Trock, Bruce, Freeman, Alex, Hu, Yipeng, Whitaker, Hayley, Allen, Clare, Kirkham, Alex, Punwani, Shonit, Sonn, Geoffrey, Barratt, Dean, Emberton, Mark, and Moore, Caroline M.
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- 2021
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11. Which Prostate Cancers are Undetected by Multiparametric Magnetic Resonance Imaging in Men with Previous Prostate Biopsy? An Analysis from the PICTURE Study
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Norris, Joseph M., Simmons, Lucy A.M., Kanthabalan, Abi, Freeman, Alex, McCartan, Neil, Moore, Caroline M., Punwani, Shonit, Whitaker, Hayley C., Emberton, Mark, and Ahmed, Hashim U.
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- 2021
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12. Genetic Landscape of Prostate Cancer Conspicuity on Multiparametric Magnetic Resonance Imaging: A Systematic Review and Bioinformatic Analysis
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Norris, Joseph M., Simpson, Benjamin S., Parry, Marina A., Allen, Clare, Ball, Rhys, Freeman, Alex, Kelly, Daniel, Kim, Hyung L., Kirkham, Alex, You, Sungyong, Kasivisvanathan, Veeru, Whitaker, Hayley C., and Emberton, Mark
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- 2020
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13. Targeting the ERG oncogene with splice-switching oligonucleotides as a novel therapeutic strategy in prostate cancer
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Li, Ling, Hobson, Lisa, Perry, Laura, Clark, Bethany, Heavey, Susan, Haider, Aiman, Sridhar, Ashwin, Shaw, Greg, Kelly, John, Freeman, Alex, Wilson, Ian, Whitaker, Hayley, Nurmemmedov, Elmar, Oltean, Sebastian, Porazinski, Sean, and Ladomery, Michael
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- 2020
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14. Analysis of the genetic phylogeny of multifocal prostate cancer identifies multiple independent clonal expansions in neoplastic and morphologically normal prostate tissue
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Cooper, Colin S, Eeles, Rosalind, Wedge, David C, Van Loo, Peter, Gundem, Gunes, Alexandrov, Ludmil B, Kremeyer, Barbara, Butler, Adam, Lynch, Andrew G, Camacho, Niedzica, Massie, Charlie E, Kay, Jonathan, Luxton, Hayley J, Edwards, Sandra, Kote-Jarai, Zsofia, Dennis, Nening, Merson, Sue, Leongamornlert, Daniel, Zamora, Jorge, Corbishley, Cathy, Thomas, Sarah, Nik-Zainal, Serena, Ramakrishna, Manasa, O'Meara, Sarah, Matthews, Lucy, Clark, Jeremy, Hurst, Rachel, Mithen, Richard, Bristow, Robert G, Boutros, Paul C, Fraser, Michael, Cooke, Susanna, Raine, Keiran, Jones, David, Menzies, Andrew, Stebbings, Lucy, Hinton, Jon, Teague, Jon, McLaren, Stuart, Mudie, Laura, Hardy, Claire, Anderson, Elizabeth, Joseph, Olivia, Goody, Victoria, Robinson, Ben, Maddison, Mark, Gamble, Stephen, Greenman, Christopher, Berney, Dan, Hazell, Steven, Livni, Naomi, Fisher, Cyril, Ogden, Christopher, Kumar, Pardeep, Thompson, Alan, Woodhouse, Christopher, Nicol, David, Mayer, Erik, Dudderidge, Tim, Shah, Nimish C, Gnanapragasam, Vincent, Voet, Thierry, Campbell, Peter, Futreal, Andrew, Easton, Douglas, Warren, Anne Y, Foster, Christopher S, Stratton, Michael R, Whitaker, Hayley C, McDermott, Ultan, Brewer, Daniel S, and Neal, David E
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Human Genome ,Urologic Diseases ,Prevention ,Genetics ,Prostate Cancer ,Cancer ,Aging ,Case-Control Studies ,Cell Lineage ,Clonal Evolution ,Clone Cells ,DNA Mutational Analysis ,Humans ,Male ,Mutation ,Neoplasms ,Multiple Primary ,Phylogeny ,Prostate ,Prostatic Neoplasms ,ICGC Prostate Group ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
Genome-wide DNA sequencing was used to decrypt the phylogeny of multiple samples from distinct areas of cancer and morphologically normal tissue taken from the prostates of three men. Mutations were present at high levels in morphologically normal tissue distant from the cancer, reflecting clonal expansions, and the underlying mutational processes at work in morphologically normal tissue were also at work in cancer. Our observations demonstrate the existence of ongoing abnormal mutational processes, consistent with field effects, underlying carcinogenesis. This mechanism gives rise to extensive branching evolution and cancer clone mixing, as exemplified by the coexistence of multiple cancer lineages harboring distinct ERG fusions within a single cancer nodule. Subsets of mutations were shared either by morphologically normal and malignant tissues or between different ERG lineages, indicating earlier or separate clonal cell expansions. Our observations inform on the origin of multifocal disease and have implications for prostate cancer therapy in individual cases.
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- 2015
15. The oncological relevance of fragile sites in cancer
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Simpson, Benjamin S., Pye, Hayley, and Whitaker, Hayley C.
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- 2021
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16. Identifying and Characterizing the Index Lesion
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Echeverria, Lina Maria Carmona, Whitaker, Hayley, Ahmed, Hashim U., Klein, Eric A., Series editor, and Polascik, Thomas J., editor
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- 2017
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17. DESNT: A Poor Prognosis Category of Human Prostate Cancer
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Luca, Bogdan-Alexandru, Brewer, Daniel S., Edwards, Dylan R., Edwards, Sandra, Whitaker, Hayley C., Merson, Sue, Dennis, Nening, Cooper, Rosalin A., Hazell, Steven, Warren, Anne Y., Eeles, Rosalind, Lynch, Andy G., Ross-Adams, Helen, Lamb, Alastair D., Neal, David E., Sethia, Krishna, Mills, Robert D., Ball, Richard Y., Curley, Helen, Clark, Jeremy, Moulton, Vincent, and Cooper, Colin S.
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- 2018
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18. Regional Histopathology and Prostate MRI Positivity: A Secondary Analysis of the PROMIS Trial
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Stavrinides, Vasilis, Norris, Joseph M, Karapanagiotis, Solon, Giganti, Francesco, Grey, Alistair, Trahearn, Nick, Freeman, Alex, Haider, Aiman, Carmona Echeverría, Lina María, Bott, Simon RJ, Brown, Louise C, Burns-Cox, Nicholas, Dudderidge, Timothy J, El-Shater Bosaily, Ahmed, Ghei, Maneesh, Henderson, Alastair, Hindley, Richard G, Kaplan, Richard S, Oldroyd, Robert, Parker, Chris, Persad, Raj, Rosario, Derek J, Shergill, Iqbal S, Winkler, Mathias, Kirkham, Alex, Punwani, Shonit, Whitaker, Hayley C, Ahmed, Hashim U, Emberton, Mark, PROMIS Group, Stavrinides, Vasilis [0000-0003-0011-9792], Karapanagiotis, Solon [0000-0003-4460-2073], Giganti, Francesco [0000-0001-5218-6431], Grey, Alistair [0000-0001-6017-8546], Trahearn, Nick [0000-0002-8596-0996], Haider, Aiman [0000-0002-7005-4245], Carmona Echeverría, Lina María [0000-0001-6546-8980], Bott, Simon RJ [0000-0001-7171-8456], Brown, Louise C [0000-0003-2827-6634], Burns-Cox, Nicholas [0000-0002-2332-4804], Dudderidge, Timothy J [0000-0001-6373-3613], El-Shater Bosaily, Ahmed [0000-0003-0586-0897], Henderson, Alastair [0000-0002-3546-1099], Hindley, Richard G [0000-0002-7568-1694], Kaplan, Richard S [0000-0002-0189-8348], Oldroyd, Robert [0000-0002-4969-3544], Parker, Chris [0000-0001-6512-124X], Persad, Raj [0000-0002-9121-0550], Rosario, Derek J [0000-0002-9086-3592], Whitaker, Hayley C [0000-0002-2695-0202], Ahmed, Hashim U [0000-0003-1674-6723], Emberton, Mark [0000-0003-4230-0338], and Apollo - University of Cambridge Repository
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Male ,Prostatic Intraepithelial Neoplasia ,Image-Guided Biopsy ,Inflammation ,Prostate ,Humans ,Prostatic Neoplasms ,Middle Aged ,Neoplasm Grading ,Magnetic Resonance Imaging - Abstract
Background The effects of regional histopathologic changes on prostate MRI scans have not been accurately quantified in men with an elevated prostate-specific antigen (PSA) level and no previous biopsy. Purpose To assess how Gleason grade, maximum cancer core length (MCCL), inflammation, prostatic intraepithelial neoplasia (PIN), or atypical small acinar proliferation within a Barzell zone affects the odds of MRI visibility. Materials and Methods In this secondary analysis of the Prostate MRI Imaging Study (PROMIS; May 2012 to November 2015), consecutive participants who underwent multiparametric MRI followed by a combined biopsy, including 5-mm transperineal mapping (TPM), were evaluated. TPM pathologic findings were reported at the whole-prostate level and for each of 20 Barzell zones per prostate. An expert panel blinded to the pathologic findings reviewed MRI scans and declared which Barzell areas spanned Likert score 3-5 lesions. The relationship of Gleason grade and MCCL to zonal MRI outcome (visible vs nonvisible) was assessed using generalized linear mixed-effects models with random intercepts for individual participants. Inflammation, PIN, and atypical small acinar proliferation were similarly assessed in men who had negative TPM results. Results Overall, 161 men (median age, 62 years [IQR, 11 years]) were evaluated and 3179 Barzell zones were assigned MRI status. Compared with benign areas, the odds of MRI visibility were higher when a zone contained cancer with a Gleason score of 3+4 (odds ratio [OR], 3.1; 95% CI: 1.9, 4.9; P < .001) or Gleason score greater than or equal to 4+3 (OR, 8.7; 95% CI: 4.5, 17.0; P < .001). MCCL also determined visibility (OR, 1.24 per millimeter increase; 95% CI: 1.15, 1.33; P < .001), but odds were lower with each prostate volume doubling (OR, 0.7; 95% CI: 0.5, 0.9). In men who were TPM-negative, the presence of PIN increased the odds of zonal visibility (OR, 3.7; 95% CI: 1.5, 9.1; P = .004). Conclusion An incremental relationship between cancer burden and prostate MRI visibility was observed. Prostatic intraepithelial neoplasia contributed to false-positive MRI findings. ClinicalTrials.gov registration no. NCT01292291 © RSNA, 2022 Supplemental material is available for this article. See also the editorial by Harmath in this issue.
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- 2023
19. ST6GAL1‐mediated aberrant sialylation promotes prostate cancer progression
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Scott, Emma, primary, Archer Goode, Emily, additional, Garnham, Rebecca, additional, Hodgson, Kirsty, additional, Orozco‐Moreno, Margarita, additional, Turner, Helen, additional, Livermore, Karen, additional, Putri Nangkana, Kyla, additional, Frame, Fiona M, additional, Bermudez, Abel, additional, Jose Garcia Marques, Fernando, additional, McClurg, Urszula L, additional, Wilson, Laura, additional, Thomas, Huw, additional, Buskin, Adriana, additional, Hepburn, Anastasia, additional, Duxfield, Adam, additional, Bastian, Kayla, additional, Pye, Hayley, additional, Arredondo, Hector M, additional, Hysenaj, Gerald, additional, Heavey, Susan, additional, Stopka‐Farooqui, Urszula, additional, Haider, Aiman, additional, Freeman, Alex, additional, Singh, Saurabh, additional, Johnston, Edward W, additional, Punwani, Shonit, additional, Knight, Bridget, additional, McCullagh, Paul, additional, McGrath, John, additional, Crundwell, Malcolm, additional, Harries, Lorna, additional, Heer, Rakesh, additional, Maitland, Norman J, additional, Whitaker, Hayley, additional, Pitteri, Sharon, additional, Troyer, Dean A, additional, Wang, Ning, additional, Elliott, David J, additional, Drake, Richard R, additional, and Munkley, Jennifer, additional
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- 2023
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20. Use of artificial intelligence in the detection of primary prostate cancer in multiparametric MRI with its clinical outcomes: a protocol for a systematic review and meta-analysis
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Thomas, Maya, primary, Murali, Sanjana, additional, Simpson, Benjamin Scott S, additional, Freeman, Alex, additional, Kirkham, Alex, additional, Kelly, Daniel, additional, Whitaker, Hayley C, additional, Zhao, Yi, additional, Emberton, Mark, additional, and Norris, Joseph M, additional
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- 2023
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21. Genetic alterations in the 3q26.31-32 locus confer an aggressive prostate cancer phenotype
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Simpson, Benjamin S., Camacho, Niedzica, Luxton, Hayley J., Pye, Hayley, Finn, Ron, Heavey, Susan, Pitt, Jason, Moore, Caroline M., and Whitaker, Hayley C.
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- 2020
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22. Author Correction: Co-targeting PIM and PI3K/mTOR using multikinase inhibitor AUM302 and a combination of AZD-1208 and BEZ235 in prostate cancer
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Luszczak, Sabina, Simpson, Benjamin S., Stopka-Farooqui, Urszula, Sathyadevan, Vignesh Krishna, Echeverria, Lina M. Carmona, Kumar, Christopher, Costa, Helena, Haider, Aiman, Freeman, Alex, Jameson, Charles, Ratynska, Marzena, Ben-Salha, Imen, Sridhar, Ashwin, Shaw, Greg, Kelly, John D., Pye, Hayley, Gately, Kathy A., Whitaker, Hayley C., and Heavey, Susan
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- 2020
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23. A critical evaluation of visual proportion of Gleason 4 and maximum cancer core length quantified by histopathologists
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Carmona Echeverria, Lina Maria, Haider, Aiman, Freeman, Alex, Stopka-Farooqui, Urszula, Rosenfeld, Avi, Simpson, Benjamin S., Hu, Yipeng, Hawkes, David, Pye, Hayley, Heavey, Susan, Stavrinides, Vasilis, Norris, Joseph M., Bosaily, Ahmed El-Shater, Cardona Barrena, Cristina, Bott, Simon, Brown, Louise, Burns-Cox, Nick, Dudderidge, Tim, Henderson, Alastair, Hindley, Richard, Kaplan, Richard, Kirkham, Alex, Oldroyd, Robert, Ghei, Maneesh, Persad, Raj, Punwani, Shonit, Rosario, Derek, Shergill, Iqbal, Winkler, Mathias, Ahmed, Hashim U., Emberton, Mark, and Whitaker, Hayley C.
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- 2020
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24. Author Correction: Genetic alterations in the 3q26.31-32 locus confer an aggressive prostate cancer phenotype
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Simpson, Benjamin S., Camacho, Niedzica, Luxton, Hayley J., Pye, Hayley, Finn, Ron, Heavey, Susan, Pitt, Jason, Moore, Caroline M., and Whitaker, Hayley C.
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- 2020
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25. Co-targeting PIM and PI3K/mTOR using multikinase inhibitor AUM302 and a combination of AZD-1208 and BEZ235 in prostate cancer
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Luszczak, Sabina, Simpson, Benjamin S., Stopka-Farooqui, Urszula, Sathyadevan, Vignesh Krishna, Echeverria, Lina M. Carmona, Kumar, Christopher, Costa, Helena, Haider, Aiman, Freeman, Alex, Jameson, Charles, Ratynska, Marzena, Ben-Salha, Imen, Sridhar, Ashwin, Shaw, Greg, Kelly, John D., Pye, Hayley, Gately, Kathy A., Whitaker, Hayley C., and Heavey, Susan
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- 2020
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26. PIM kinase inhibition: co-targeted therapeutic approaches in prostate cancer
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Luszczak, Sabina, Kumar, Christopher, Sathyadevan, Vignesh Krishna, Simpson, Benjamin S., Gately, Kathy A., Whitaker, Hayley C., and Heavey, Susan
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- 2020
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27. Early relapse on adjuvant gemcitabine associated with an exceptional response to 2nd line capecitabine chemotherapy in a patient with pancreatic adenosquamous carcinoma with strong intra-tumoural expression of cytidine deaminase: a case report
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Connell, Claire M., Brais, Rebecca, Whitaker, Hayley, Upponi, Sara, Beh, Ian, Risdall, Jane, Corrie, Pippa, Janowitz, Tobias, and Jodrell, Duncan I.
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- 2020
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28. Characterisation of androgen receptor-interacting proteins in prostate cancer
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Whitaker, Hayley Caroline
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616.99463 - Published
- 2003
29. Data from Engrailed-2 (EN2): A Tumor Specific Urinary Biomarker for the Early Diagnosis of Prostate Cancer
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Morgan, Richard, primary, Boxall, Angela, primary, Bhatt, Aagna, primary, Bailey, Michael, primary, Hindley, Richard, primary, Langley, Stephen, primary, Whitaker, Hayley C., primary, Neal, David E., primary, Ismail, Mohammed, primary, Whitaker, Hamish, primary, Annels, Nicola, primary, Michael, Agnieszka, primary, and Pandha, Hardev, primary
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- 2023
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30. Supplementary Data from LYRIC/AEG-1 Is Targeted to Different Subcellular Compartments by Ubiquitinylation and Intrinsic Nuclear Localization Signals
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Thirkettle, Hayley J., primary, Girling, Joanne, primary, Warren, Anne Y., primary, Mills, Ian G., primary, Sahadevan, Kanagasabai, primary, Leung, Hing, primary, Hamdy, Freddie, primary, Whitaker, Hayley C., primary, and Neal, David E., primary
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- 2023
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31. Supplementary Data from Engrailed-2 (EN2): A Tumor Specific Urinary Biomarker for the Early Diagnosis of Prostate Cancer
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Morgan, Richard, primary, Boxall, Angela, primary, Bhatt, Aagna, primary, Bailey, Michael, primary, Hindley, Richard, primary, Langley, Stephen, primary, Whitaker, Hayley C., primary, Neal, David E., primary, Ismail, Mohammed, primary, Whitaker, Hamish, primary, Annels, Nicola, primary, Michael, Agnieszka, primary, and Pandha, Hardev, primary
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- 2023
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32. Data from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging
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Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary
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- 2023
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33. Supplementary Figure 3 from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging
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Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary
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34. Supplementary Tables 1 - 4 from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging
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Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary
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35. Supplementary Figure 2 from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging
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Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary
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- 2023
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36. Supplementary Figure 4 from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging
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Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary
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37. Supplementary Figure 1 from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging
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Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary
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38. Supplementary Figure Legend from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging
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Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary
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- 2023
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39. Accurate diagnosis of prostate cancer by combining Proclarix with magnetic resonance imaging
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Morote, Juan, primary, Pye, Hayley, additional, Campistol, Miriam, additional, Celma, Anna, additional, Regis, Lucas, additional, Semidey, Maria, additional, de Torres, Ines, additional, Mast, Richard, additional, Planas, Jacques, additional, Santamaria, Anna, additional, Trilla, Enrique, additional, Athanasiou, Alcibiade, additional, Singh, Saurabh, additional, Heavey, Susan, additional, Stopka‐Farooqui, Urszula, additional, Freeman, Alex, additional, Haider, Aiman, additional, Schiess, Ralph, additional, Whitaker, Hayley C., additional, Punwani, Shonit, additional, Ahmed, Hashim U., additional, and Emberton, Mark, additional
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- 2023
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40. A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
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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, 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Deurzen, Carolien HM, van de Vijver, Marc J, Veer, L van’t, and von Mering, Christian
- Subjects
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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41. Combined burden and functional impact tests for cancer driver discovery using DriverPower
- Author
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- Subjects
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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42. Integrative pathway enrichment analysis of multivariate omics data
- Author
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Paczkowska, Marta, Barenboim, Jonathan, Sintupisut, Nardnisa, Fox, Natalie S, Zhu, Helen, Abd-Rabbo, Diala, Mee, Miles W, Boutros, Paul C, Abascal, Federico, Amin, Samirkumar B, Bader, Gary D, Beroukhim, Rameen, Bertl, Johanna, Boroevich, Keith A, Brunak, Søren, Campbell, Peter J, Carlevaro-Fita, Joana, Chakravarty, Dimple, Chan, Calvin Wing Yiu, Chen, Ken, Choi, Jung Kyoon, Deu-Pons, Jordi, Dhingra, Priyanka, Diamanti, Klev, Feuerbach, Lars, Fink, J Lynn, Fonseca, Nuno A, Frigola, Joan, Gambacorti-Passerini, Carlo, Garsed, Dale W, Gerstein, Mark, Getz, Gad, Gonzalez-Perez, Abel, Guo, Qianyun, Gut, Ivo G, Haan, David, Hamilton, Mark P, Haradhvala, Nicholas J, Harmanci, Arif O, Helmy, Mohamed, Herrmann, Carl, Hess, Julian M, Hobolth, Asger, Hodzic, Ermin, Hong, Chen, Hornshøj, Henrik, Isaev, Keren, Izarzugaza, Jose MG, Johnson, Rory, Johnson, Todd A, Juul, Malene, Juul, Randi Istrup, Kahles, Andre, Kahraman, Abdullah, Kellis, Manolis, Khurana, Ekta, Kim, Jaegil, Kim, Jong K, Kim, 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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.
- Published
- 2023
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43. Pathway and network analysis of more than 2500 whole cancer genomes
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Reyna, Matthew A, Haan, David, Paczkowska, Marta, Verbeke, Lieven PC, Vazquez, Miguel, Kahraman, Abdullah, Pulido-Tamayo, Sergio, Barenboim, Jonathan, Wadi, Lina, Dhingra, Priyanka, Shrestha, Raunak, Getz, Gad, Lawrence, Michael S, Pedersen, Jakob Skou, Rubin, Mark A, Wheeler, David A, Brunak, Søren, Izarzugaza, Jose MG, Khurana, Ekta, Marchal, Kathleen, von Mering, Christian, Sahinalp, S Cenk, Valencia, Alfonso, Abascal, Federico, Amin, Samirkumar B, Bader, Gary D, Bandopadhayay, Pratiti, Beroukhim, Rameen, Bertl, Johanna, Boroevich, Keith A, Busanovich, John, Campbell, Peter J, Carlevaro-Fita, Joana, Chakravarty, Dimple, Chan, Calvin Wing Yiu, Chen, Ken, Choi, Jung Kyoon, Deu-Pons, Jordi, Diamanti, Klev, Feuerbach, Lars, Fink, J Lynn, Fonseca, Nuno A, Frigola, Joan, Gambacorti-Passerini, Carlo, Garsed, Dale W, Gerstein, Mark, Guo, Qianyun, Gut, Ivo G, Hamilton, Mark P, Haradhvala, Nicholas J, Harmanci, Arif O, Helmy, Mohamed, Herrmann, Carl, Hess, Julian M, Hobolth, Asger, Hodzic, Ermin, Hong, Chen, Hornshøj, Henrik, Isaev, Keren, Johnson, Rory, Johnson, Todd A, Juul, Malene, Juul, Randi Istrup, Kahles, Andre, Kellis, Manolis, Kim, Jaegil, Kim, Jong K, Kim, Youngwook, Komorowski, Jan, Korbel, Jan O, Kumar, Sushant, Lanzós, Andrés, Larsson, Erik, Lee, Donghoon, Lehmann, Kjong-Van, Li, Shantao, Li, Xiaotong, Lin, Ziao, Liu, Eric Minwei, Lochovsky, Lucas, Lou, Shaoke, Madsen, Tobias, Martincorena, Iñigo, Martinez-Fundichely, Alexander, Maruvka, Yosef E, McGillivray, Patrick D, Meyerson, William, Muiños, Ferran, Mularoni, Loris, Nakagawa, Hidewaki, Nielsen, Morten Muhlig, Park, Keunchil, Park, Kiejung, Pons, Tirso, Reyes-Salazar, Iker, Rheinbay, Esther, Rubio-Perez, Carlota, Saksena, Gordon, Salichos, Leonidas, Sander, Chris, Schumacher, Steven E, Shackleton, Mark, Shapira, Ofer, Shen, Ciyue, Shuai, Shimin, Sidiropoulos, Nikos, Sieverling, Lina, Sinnott-Armstrong, Nasa, Stein, Lincoln D, Tamborero, David, Tiao, Grace, Tsunoda, Tatsuhiko, Umer, Husen M, Uusküla-Reimand, Liis, Wadelius, Claes, Wang, Jiayin, Warrell, Jonathan, Waszak, Sebastian M, Weischenfeldt, Joachim, Wu, Guanming, Yu, Jun, Zhang, Jing, Zhang, Xuanping, Zhang, Yan, Zhao, Zhongming, Zou, Lihua, Reimand, Jüri, Stuart, Joshua M, Raphael, Benjamin J, Aaltonen, Lauri A, 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, 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, Baez-Ortega, Adrian, Bailey, Matthew H, Bailey, Peter J, Balasundaram, Miruna, Balu, Saianand, Banks, Rosamonde E, Barbi, Stefano, Barbour, Andrew P, 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, Berrios, Mario, Bersani, Samantha, Betancourt, Miguel, Bhandari, Vinayak, Bhosle, Shriram G, Biankin, Andrew V, 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, Borozan, Ivan, Borst, Christoph, Bosenberg, Marcus, Bosio, Mattia, Boultwood, Jacqueline, Bourque, Guillaume, Boutros, Paul C, 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, Broaddus, Russell R, Brock, Jane E, Brock, Malcolm, Broeks, Annegien, Brooks, Angela N, Brooks, Denise, Brors, Benedikt, Bruxner, Timothy JC, Bruzos, Alicia L, Buchanan, Alex, Buchhalter, Ivo, Buchholz, Christiane, Bullman, Susan, Burke, Hazel, Burkhardt, Birgit, Burns, Kathleen H, Bustamante, Carlos D, Butler, Adam P, Butte, Atul J, Byrne, Niall J, Børresen-Dale, Anne-Lise, Caesar-Johnson, Samantha J, Cafferkey, Andy, Cahill, Declan, Calabrese, Claudia, Caldas, Carlos, Calvo, Fabien, Camacho, Niedzica, Campo, Elias, Cantù, Cinzia, Cao, Shaolong, Carey, Thomas E, Carlsen, Rebecca, Cataldo, Ivana, Cazzola, Mario, Cebon, Jonathan, Cerfolio, Robert, Chadwick, Dianne E, Chalmers, Don, Chan, Kin, Chan-Seng-Yue, Michelle, Chandan, Vishal S, Chang, David K, Chanock, Stephen J, Chantrill, Lorraine A, Chateigner, Aurélien, Chatterjee, Nilanjan, Chayama, Kazuaki, Chen, Hsiao-Wei, Chen, Jieming, Chen, Yiwen, Chen, Zhaohong, Cherniack, Andrew D, Chien, Jeremy, Chiew, Yoke-Eng, Chin, Suet-Feung, Cho, Juok, Cho, Sunghoon, Choi, Wan, Chomienne, Christine, Chong, Zechen, Choo, Su Pin, Chou, Angela, Christ, Angelika N, Christie, Elizabeth L, Chuah, Eric, Cibulskis, Carrie, Cibulskis, Kristian, Cingarlini, Sara, Clapham, Peter, Claviez, Alexander, Cleary, Sean, Cloonan, Nicole, Cmero, Marek, Collins, Colin C, Connor, Ashton A, Cooke, Susanna L, Cooper, Colin S, Cope, Leslie, Corbo, Vincenzo, Cordes, Matthew G, Cordner, Stephen M, Cortés-Ciriano, Isidro, Covington, Kyle, Cowin, Prue A, Craft, Brian, Craft, David, Creighton, Chad J, Cun, Yupeng, Curley, Erin, Cutcutache, Ioana, Czajka, Karolina, Czerniak, Bogdan, Dagg, Rebecca A, Danilova, Ludmila, Davi, Maria Vittoria, Davidson, Natalie R, Davies, Helen, Davis, Ian J, Davis-Dusenbery, Brandi N, Dawson, Kevin J, De La Vega, Francisco M, De Paoli-Iseppi, Ricardo, Defreitas, Timothy, Dei Tos, Angelo P, Delaneau, Olivier, Demchok, John A, Demeulemeester, Jonas, Demidov, German M, Demircioğlu, Deniz, Dennis, Nening M, Denroche, Robert E, Dentro, Stefan C, Desai, Nikita, Deshpande, Vikram, Deshwar, Amit G, Desmedt, Christine, Dhalla, Noreen, Dhani, Neesha C, Dhir, Rajiv, DiBiase, Anthony, Ding, Li, Ding, Shuai, Dinh, Huy Q, Dirix, Luc, Doddapaneni, HarshaVardhan, Donmez, Nilgun, Dow, Michelle T, Drapkin, Ronny, Drechsel, Oliver, Drews, Ruben M, Serge, Serge, Dudderidge, Tim, Dueso-Barroso, Ana, Dunford, Andrew J, Dunn, Michael, Dursi, Lewis Jonathan, Duthie, Fraser R, Dutton-Regester, Ken, Eagles, Jenna, Easton, Douglas F, Edmonds, Stuart, Edwards, Paul A, Edwards, Sandra E, Eeles, Rosalind A, Ehinger, Anna, Eils, Juergen, Eils, Roland, El-Naggar, Adel, Eldridge, Matthew, Ellrott, Kyle, Erkek, Serap, Escaramis, Georgia, Espiritu, Shadrielle MG, Estivill, Xavier, Etemadmoghadam, Dariush, Eyfjord, Jorunn E, Faltas, Bishoy M, Fan, Daiming, Fan, Yu, Faquin, William C, Farcas, Claudiu, Fassan, Matteo, Fatima, Aquila, Favero, Francesco, Fayzullaev, Nodirjon, Felau, Ina, Fereday, Sian, Ferguson, Martin L, Ferretti, Vincent, Field, Matthew A, Finocchiaro, Gaetano, Fisher, Cyril, Fittall, Matthew W, Fitzgerald, Anna, Fitzgerald, Rebecca C, Flanagan, Adrienne M, Fleshner, Neil E, Flicek, Paul, Foekens, John A, Fong, Kwun M, Foster, Christopher S, Fox, Natalie S, Fraser, Michael, Frazer, Scott, Frenkel-Morgenstern, Milana, Friedman, William, Fronick, Catrina C, Fujimoto, Akihiro, Fujita, Masashi, Fukayama, Masashi, Fulton, Lucinda A, Fulton, Robert S, Furuta, Mayuko, Futreal, P Andrew, Füllgrabe, Anja, Gabriel, Stacey B, Gallinger, Steven, Gao, Jianjiong, Gao, Shengjie, Garraway, Levi, Garred, Øystein, Garrison, Erik, Gehlenborg, Nils, Gelpi, Josep LL, George, Joshy, Gerhard, Daniela S, Gerhauser, Clarissa, Gershenwald, Jeffrey E, Gerstung, Moritz, Ghori, Mohammed, Ghossein, Ronald, Giama, Nasra H, Gibbs, Richard A, Gibson, Bob, Gill, Anthony J, Gill, Pelvender, Giri, Dilip D, Glodzik, Dominik, Gnanapragasam, Vincent J, Goebler, Maria Elisabeth, Goldman, Mary J, Gomez, Carmen, Gonzalez, Santiago, Gonzalez-Perez, Abel, Gordenin, Dmitry A, Gossage, James, Gotoh, Kunihito, Govindan, Ramaswamy, Grabau, Dorthe, Graham, Janet S, Grant, Robert C, Green, Anthony R, Green, Eric, Greger, Liliana, Grehan, Nicola, Grimaldi, Sonia, Grimmond, Sean M, Grossman, Robert L, Grundhoff, Adam, Gundem, Gunes, Gupta, Manaswi, Gupta, Shailja, Gut, Marta, Göke, Jonathan, Ha, Gavin, Haake, Andrea, Haas, Siegfried, Haase, Kerstin, Haber, James E, Habermann, Nina, Hach, Faraz, Haider, Syed, Hama, Natsuko, Hamdy, Freddie C, Hamilton, Anne, Han, Leng, Hanna, George B, Hansmann, Martin, Harismendy, Olivier, Harliwong, Ivon, Harrington, Eoghan, Hasegawa, Takanori, Haussler, David, Hawkins, Steve, Hayami, Shinya, Hayashi, Shuto, Hayes, D Neil, Hayes, Stephen J, Hayward, Nicholas K, Hazell, Steven, He, Yao, Heath, Allison P, Heath, Simon C, Hedley, David, Hegde, Apurva M, Heiman, David I, Heinold, Michael C, Heins, Zachary, Heisler, Lawrence E, Hellstrom-Lindberg, Eva, Heo, Seong Gu, Hepperla, Austin J, Heredia-Genestar, José María, Hersey, Peter, Hilmarsdottir, Holmfridur, Hinton, Jonathan, Hirano, Satoshi, Hiraoka, Nobuyoshi, Hoadley, Katherine A, Hoell, Jessica I, Hoffmann, Steve, Hofmann, Oliver, Holbrook, Andrea, Holik, Aliaksei Z, Hollingsworth, Michael A, Holmes, Oliver, Holt, Robert A, Hong, Eun Pyo, Hong, Jongwhi H, Hooijer, Gerrit K, Hosoda, Fumie, Hou, Yong, Hovestadt, Volker, Howat, William, Hoyle, Alan P, Hruban, Ralph H, Hu, Jianhong, Hu, Taobo, Hua, Xing, Huang, Kuan-lin, Huang, Mei, Huang, Mi Ni, Huang, Vincent, Huang, Yi, Huber, Wolfgang, Hudson, Thomas J, Hummel, Michael, Hung, Jillian A, Huntsman, David, Hupp, Ted R, Huse, Jason, Huska, Matthew R, Hutter, Barbara, Hutter, Carolyn M, Hübschmann, Daniel, Iacobuzio-Donahue, Christine A, Imbusch, Charles David, Imielinski, Marcin, Imoto, Seiya, Isaacs, William B, Ishikawa, Shumpei, Iskar, Murat, Islam, SM Ashiqul, Ittmann, Michael, Ivkovic, Sinisa, Jacquemier, Jocelyne, Jakrot, Valerie, Jamieson, Nigel B, Jang, Gun Ho, Jang, Se Jin, Jayaseelan, Joy C, Jayasinghe, Reyka, Jefferys, Stuart R, Jegalian, Karine, Jennings, Jennifer L, Jeon, Seung-Hyup, Jerman, Lara, Ji, Yuan, Jiao, Wei, Johansson, Peter A, Johns, Amber L, Johns, Jeremy, Jolly, Clemency, Joly, Yann, Jonasson, Jon G, Jones, Corbin D, Jones, David R, Jones, David TW, Jones, Nic, Jones, Steven JM, Jonkers, Jos, Ju, Young Seok, Juhl, Hartmut, Jung, Jongsun, Juul, Sissel, Jäger, Natalie, Kabbe, Rolf, Kaiser, Vera B, Kakavand, Hojabr, Kalimuthu, Sangeetha, von Kalle, Christof, Kang, Koo Jeong, Karaszi, Katalin, Karlan, Beth, Karlić, Rosa, Karsch, Dennis, Kasaian, Katayoon, Kassahn, Karin S, Katai, Hitoshi, Kato, Mamoru, Katoh, Hiroto, Kawakami, Yoshiiku, Kay, Jonathan D, Kazakoff, Stephen H, Kazanov, Marat D, Keays, Maria, Kebebew, Electron, Kefford, Richard F, Kench, James G, Kennedy, Catherine J, Kerssemakers, Jules NA, Khoo, David, Khoo, Vincent, Khuntikeo, Narong, Kilpinen, Helena, Kim, Hark Kyun, Kim, Hyung-Lae, Kim, Hyung-Yong, Kim, Hyunghwan, Kim, Jihoon, King, Tari A, Klapper, Wolfram, Kleinheinz, Kortine, Klimczak, Leszek J, Knappskog, Stian, Kneba, Michael, Knoppers, Bartha M, Koh, Youngil, Komura, Daisuke, Komura, Mitsuhiro, Kong, Gu, Kool, Marcel, Korchina, Viktoriya, Korshunov, Andrey, Koscher, Michael, Koster, Roelof, Kote-Jarai, Zsofia, Koures, Antonios, Kovacevic, Milena, Kremeyer, Barbara, Kretzmer, Helene, Kreuz, Markus, Krishnamurthy, Savitri, Kube, Dieter, Kumar, Kiran, Kumar, Pardeep, Kumar, Yogesh, Kundra, Ritika, Kübler, Kirsten, Küppers, Ralf, Lagergren, Jesper, Lai, Phillip H, Laird, Peter W, Lakhani, Sunil R, Lalansingh, Christopher M, Lalonde, Emilie, Lamaze, Fabien C, Lambert, Adam, Lander, Eric, Landgraf, Pablo, Landoni, Luca, Langerød, Anita, Larsimont, Denis, Lathrop, Mark, Lau, Loretta MS, Lawerenz, Chris, Lawlor, Rita T, Lazar, Alexander J, Lazic, Ana Mijalkovic, Le, Xuan, Lee, Darlene, Lee, Eunjung Alice, Lee, Hee Jin, Lee, Jake June-Koo, Lee, Jeong-Yeon, Lee, Juhee, Lee, Ming Ta Michael, Lee-Six, Henry, Lehrach, Hans, Lenze, Dido, Leonard, Conrad R, Leongamornlert, Daniel A, Leshchiner, Ignaty, Letourneau, Louis, Letunic, Ivica, Levine, Douglas A, Lewis, Lora, Ley, Tim, Li, Chang, Li, Constance H, Li, Haiyan Irene, Li, Jun, Li, Lin, Li, Siliang, Li, Xiaobo, Li, Xinyue, Li, Yilong, Liang, Han, Liang, Sheng-Ben, Lichter, Peter, Lin, Pei, Linehan, WM, Lingjærde, Ole Christian, Liu, Dongbing, Liu, Fei-Fei Fei, Liu, Fenglin, Liu, Jia, Liu, Xingmin, Livingstone, Julie, Livitz, Dimitri, Livni, Naomi, Loeffler, Markus, Long, Georgina V, Lopez-Guillermo, Armando, Louis, David N, Lovat, Laurence B, Lu, Yiling, Lu, Yong-Jie, Lu, Youyong, Luchini, Claudio, Lungu, Ilinca, Luo, Xuemei, Luxton, Hayley J, Lynch, Andy G, Lype, Lisa, López, Cristina, López-Otín, Carlos, Z, Eric, Ma, Yussanne, MacGrogan, Gaetan, MacRae, Shona, Macintyre, Geoff, Maejima, Kazuhiro, Mafficini, Andrea, Maglinte, Dennis T, Maitra, Arindam, Majumder, Partha P, Malcovati, Luca, Malikic, Salem, Malleo, Giuseppe, Mann, Graham J, Mantovani-Löffler, Luisa, Marchegiani, Giovanni, Mardis, Elaine R, Margolin, Adam A, Marin, Maximillian G, Markowetz, Florian, Markowski, Julia, Marks, Jeffrey, Marques-Bonet, Tomas, Marra, Marco A, Marsden, Luke, Martens, John WM, Martin, Sancha, Martin-Subero, Jose I, Mashl, R Jay, Massie, Charlie E, Matthew, Thomas J, Matthews, Lucy, Mayer, Erik, Mayes, Simon, Mayo, Michael, Mbabaali, Faridah, McCune, Karen, McDermott, Ultan, McLellan, Michael D, McPherson, John D, McPherson, John R, McPherson, Treasa A, Meier, Samuel R, Meng, Alice, Meng, Shaowu, Menzies, Andrew, Merrett, Neil D, Merson, Sue, Meyerson, Matthew, Mieczkowski, Piotr A, Mihaiescu, George L, Mijalkovic, Sanja, Mikkelsen, Tom, Milella, Michele, Mileshkin, Linda, Miller, Christopher A, Miller, David K, Miller, Jessica K, Mills, Gordon B, Milovanovic, Ana, Minner, Sarah, Miotto, Marco, Arnau, Gisela Mir, Mirabello, Lisa, Mitchell, Chris, Mitchell, Thomas J, Miyano, Satoru, Miyoshi, Naoki, Mizuno, Shinichi, Molnár-Gábor, Fruzsina, Moore, Malcolm J, Moore, Richard A, Morganella, Sandro, Morris, Quaid D, Morrison, Carl, Mose, Lisle E, Moser, Catherine D, Mungall, Andrew J, Mungall, Karen, Musgrove, Elizabeth A, Mustonen, Ville, Mutch, David, Muyas, Francesc, Muzny, Donna M, Muñoz, Alfonso, Myers, Jerome, Myklebost, Ola, Möller, Peter, Nagae, Genta, Nagrial, Adnan M, Nahal-Bose, Hardeep K, Nakagama, Hitoshi, Nakamura, Hiromi, Nakamura, Toru, Nakano, Kaoru, Nandi, Tannistha, Nangalia, Jyoti, Nastic, Mia, Navarro, Arcadi, Navarro, Fabio CP, Neal, David E, Nettekoven, Gerd, Newell, Felicity, Newhouse, Steven J, Newton, Yulia, Ng, Alvin Wei Tian, Ng, Anthony, Nicholson, Jonathan, Nicol, David, Nie, Yongzhan, Nielsen, G Petur, Nik-Zainal, Serena, Noble, Michael S, Nones, Katia, Northcott, Paul A, Notta, Faiyaz, O’Connor, Brian D, O’Donnell, Peter, O’Donovan, Maria, O’Meara, Sarah, O’Neill, Brian Patrick, O’Neill, J Robert, Ocana, David, Ochoa, Angelica, Oesper, Layla, Ogden, Christopher, Ohdan, Hideki, Ohi, Kazuhiro, Ohno-Machado, Lucila, Oien, Karin A, Ojesina, Akinyemi I, Ojima, Hidenori, Okusaka, Takuji, Omberg, Larsson, Ong, Choon Kiat, Ossowski, Stephan, Ott, German, Ouellette, BF Francis, P’ng, Christine, Paiella, Salvatore, Pairojkul, Chawalit, Pajic, Marina, Pan-Hammarström, Qiang, Papaemmanuil, Elli, Papatheodorou, Irene, Paramasivam, Nagarajan, Park, Ji Wan, Park, Joong-Won, Park, Peter J, Parker, Joel S, Parsons, Simon L, Pass, Harvey, Pasternack, Danielle, Pastore, Alessandro, Patch, Ann-Marie, Pauporté, Iris, Pea, Antonio, Pearson, John V, Pedamallu, Chandra Sekhar, Pederzoli, Paolo, Peifer, Martin, Pennell, Nathan A, Perou, Charles M, Perry, Marc D, Petersen, Gloria M, Peto, Myron, Petrelli, Nicholas, Petryszak, Robert, Pfister, Stefan M, Phillips, Mark, Pich, Oriol, Pickett, Hilda A, Pihl, Todd D, Pillay, Nischalan, Pinder, Sarah, Pinese, Mark, Pinho, Andreia V, Pitkänen, Esa, Pivot, Xavier, Piñeiro-Yáñez, Elena, Planko, Laura, Plass, Christoph, Polak, Paz, Popescu, Irinel, Potapova, Olga, Prasad, Aparna, Preston, Shaun R, Prinz, Manuel, Pritchard, Antonia L, Prokopec, Stephenie D, Provenzano, Elena, Puente, Xose S, Puig, Sonia, Puiggròs, Montserrat, 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, Rathmell, W Kimryn, Rausch, Tobias, Reifenberger, Guido, Reis-Filho, Jorge, Reuter, Victor, Reynolds, Sheila M, Riazalhosseini, Yasser, Richardson, Andrea L, Richter, Julia, Ringel, Matthew, Ringnér, Markus, Rino, Yasushi, Rippe, Karsten, Roach, Jeffrey, Roberts, Lewis R, Roberts, Nicola D, Roberts, Steven A, Robertson, A Gordon, Robertson, Alan J, Rodriguez, Javier Bartolomé, Rodriguez-Martin, Bernardo, 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, Rudneva, Vasilisa A, Rusev, Borislav C, Ruzzenente, Andrea, Rätsch, Gunnar, Sabarinathan, Radhakrishnan, Sabelnykova, Veronica Y, Sadeghi, Sara, Saini, Natalie, Saito-Adachi, Mihoko, Salcedo, Adriana, Salgado, Roberto, Sallari, Richard, Saller, Charles, Salvia, Roberto, Sam, Michelle, Samra, Jaswinder S, Sanchez-Vega, Francisco, 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, Schlesner, Matthias, Schlomm, Thorsten, Schmidt, Heather K, Schramm, Sarah-Jane, Schreiber, Stefan, Schultz, Nikolaus, Schwarz, Roland F, Scolyer, Richard A, Scott, David, Scully, Ralph, 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, Shelton, Troy, 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, Shringarpure, Suyash S, Shriver, Craig, 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, 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, Stenhouse, Alasdair, Stewart, Chip, Stilgenbauer, Stephan, Stobbe, Miranda D, Stratton, Michael R, Stretch, Jonathan R, Struck, Adam J, 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, 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, Adrian, Tijanic, Nebojsa, Timms, Lee E, Tirabosco, Roberto, Tojo, Marta, Tommasi, Stefania, Toon, Christopher W, Toprak, Umut H, Torrents, David, Tortora, Giampaolo, Tost, Jörg, Totoki, Yasushi, Townend, David, Traficante, Nadia, Treilleux, Isabelle, Trotta, Jean-Rémi, Trümper, Lorenz HP, Tsao, Ming, MC Tubio, Jose, Tucker, Olga, Turkington, Richard, Turner, Daniel J, Tutt, Andrew, Ueno, Masaki, Ueno, Naoto T, Umbricht, Christopher, Underwood, Timothy J, Urban, Lara, Urushidate, Tomoko, Ushiku, Tetsuo, Van Den Berg, David J, Van Laere, Steven, Van Loo, Peter, Van Meir, Erwin G, Van den Eynden, Gert G, Van der Kwast, Theodorus, Vasudev, Naveen, Vedururu, Ravikiran, Veluvolu, Umadevi, Vembu, Shankar, Vermeulen, Peter, Verrill, Clare, Viari, Alain, Vicente, David, Vicentini, Caterina, VijayRaghavan, K, Viksna, Juris, Vilain, Ricardo E, Villasante, Izar, 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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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44. 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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45. Genomic footprints of activated telomere maintenance mechanisms in cancer
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Michael, Koster, Roelof, Kote-Jarai, Zsofia, Koures, Antonios, Kovacevic, Milena, Kremeyer, Barbara, Kretzmer, Helene, Kreuz, Markus, Krishnamurthy, Savitri, Kube, Dieter, Kumar, Pardeep, Kumar, Sushant, Kumar, Yogesh, Kundra, Ritika, Kübler, Kirsten, Küppers, Ralf, Lagergren, Jesper, Lai, Phillip H, Laird, Peter W, Lakhani, Sunil R, Lalansingh, Christopher M, Lalonde, Emilie, Lamaze, Fabien C, Lambert, Adam, Lander, Eric, Landgraf, Pablo, Landoni, Luca, Langerød, Anita, Lanzós, Andrés, Larsimont, Denis, Larsson, Erik, Lathrop, Mark, Lau, Loretta MS, Lawerenz, Chris, Lawlor, Rita T, Lawrence, Michael S, Lazar, Alexander J, Lazic, Ana Mijalkovic, Le, Xuan, Lee, Darlene, Lee, Donghoon, Lee, Hee Jin, Lee, Jeong-Yeon, Lee, Juhee, Lee, Ming Ta Michael, Lee-Six, Henry, Lehmann, Kjong-Van, Lehrach, Hans, Lenze, Dido, Leonard, Conrad R, Leongamornlert, Daniel A, Leshchiner, Ignaty, Letourneau, Louis, Letunic, Ivica, Levine, Douglas A, Lewis, Lora, Ley, Tim, Li, Chang, Li, Constance H, Li, Haiyan Irene, Li, Jun, Li, Lin, Li, Shantao, Li, Siliang, Li, Xiaobo, Li, Xiaotong, Li, Xinyue, Liang, Han, Liang, Sheng-Ben, Lichter, Peter, Lin, Pei, Lin, Ziao, Linehan, WM, Lingjærde, Ole Christian, Liu, Dongbing, Liu, Eric Minwei, Liu, Fei-Fei Fei, Liu, Fenglin, Liu, Jia, Liu, Xingmin, Livingstone, Julie, Livitz, Dimitri, Livni, Naomi, Lochovsky, Lucas, Loeffler, Markus, Long, Georgina V, Lopez-Guillermo, Armando, Lou, Shaoke, Louis, David N, Lovat, Laurence B, Lu, Yiling, Lu, Yong-Jie, Lu, Youyong, Luchini, Claudio, Lungu, Ilinca, Luo, Xuemei, Luxton, Hayley J, Lype, Lisa, López, Cristina, López-Otín, Carlos, Z, Eric, Ma, Yussanne, MacGrogan, Gaetan, MacRae, Shona, Madsen, Tobias, Maejima, Kazuhiro, Mafficini, Andrea, Maglinte, Dennis T, Maitra, Arindam, Majumder, Partha P, Malcovati, Luca, Malikic, Salem, Malleo, Giuseppe, Mann, Graham J, Mantovani-Löffler, Luisa, Marchal, Kathleen, Marchegiani, Giovanni, Mardis, Elaine R, Margolin, Adam A, Marin, Maximillian G, Markowski, Julia, Marks, Jeffrey, Marques-Bonet, Tomas, Marra, Marco A, Marsden, Luke, Martens, John WM, Martin, Sancha, Martin-Subero, Jose I, Maruvka, Yosef E, Mashl, R Jay, Massie, Charlie E, Matthew, Thomas J, Matthews, Lucy, Mayer, Erik, Mayes, Simon, Mayo, Michael, Mbabaali, Faridah, McCune, Karen, McDermott, Ultan, McGillivray, Patrick D, McLellan, Michael D, McPherson, John D, McPherson, John R, McPherson, Treasa A, Meier, Samuel R, Meng, Alice, Meng, Shaowu, Menzies, Andrew, Merrett, Neil D, Merson, Sue, Meyerson, William, Mieczkowski, Piotr A, Mihaiescu, George L, Mijalkovic, Sanja, Mikkelsen, Tom, Milella, Michele, Mileshkin, Linda, Miller, Christopher A, Miller, David K, Miller, Jessica K, Mills, Gordon B, Milovanovic, Ana, Minner, Sarah, Miotto, Marco, Arnau, Gisela Mir, Mirabello, Lisa, Mitchell, Chris, Mitchell, Thomas J, Miyoshi, Naoki, Mizuno, Shinichi, Molnár-Gábor, Fruzsina, Moore, Malcolm J, Moore, Richard A, Morganella, Sandro, Morris, Quaid D, Morrison, Carl, Mose, Lisle E, Moser, Catherine D, Muiños, Ferran, Mularoni, Loris, Mungall, Andrew J, Mungall, Karen, Musgrove, Elizabeth A, Mustonen, Ville, Mutch, David, Muyas, Francesc, Muzny, Donna M, Muñoz, Alfonso, Myers, Jerome, Myklebost, Ola, Möller, Peter, Nagae, Genta, Nagrial, Adnan M, Nahal-Bose, Hardeep K, Nakagama, Hitoshi, Nakamura, Hiromi, Nakamura, Toru, Nakano, Kaoru, Nandi, Tannistha, Nangalia, Jyoti, Nastic, Mia, Navarro, Arcadi, Neal, David E, Nettekoven, Gerd, Newell, Felicity, Newhouse, Steven J, Newton, Yulia, Ng, Alvin Wei Tian, Ng, Anthony, Nicholson, Jonathan, Nicol, David, Nie, Yongzhan, Nielsen, G Petur, Nielsen, Morten Muhlig, Nik-Zainal, Serena, Noble, Michael S, Nones, Katia, Northcott, Paul A, Notta, Faiyaz, O’Connor, Brian D, O’Donnell, Peter, O’Donovan, Maria, O’Meara, Sarah, O’Neill, Brian Patrick, O’Neill, J Robert, Ocana, David, Ochoa, Angelica, Oesper, Layla, Ogden, Christopher, Ohdan, Hideki, Ohi, Kazuhiro, Ohno-Machado, Lucila, Oien, Karin A, Ojesina, Akinyemi I, Ojima, Hidenori, Okusaka, Takuji, Omberg, Larsson, Ong, Choon Kiat, Ott, German, Ouellette, BF Francis, P’ng, Christine, Paczkowska, Marta, Paiella, Salvatore, Pairojkul, Chawalit, Pajic, Marina, Pan-Hammarström, Qiang, Papaemmanuil, Elli, Papatheodorou, Irene, Paramasivam, Nagarajan, Park, Ji Wan, Park, Joong-Won, Park, Keunchil, Park, Kiejung, Parker, Joel S, Parsons, Simon L, Pass, Harvey, Pasternack, Danielle, Pastore, Alessandro, Patch, Ann-Marie, Pauporté, Iris, Pea, Antonio, Pedamallu, Chandra Sekhar, Pedersen, Jakob Skou, Pederzoli, Paolo, Peifer, Martin, Pennell, Nathan A, Perou, Charles M, Perry, Marc D, Petersen, Gloria M, Peto, Myron, Petrelli, Nicholas, Petryszak, Robert, Pfister, Stefan M, Phillips, Mark, Pich, Oriol, Pickett, Hilda A, Pihl, Todd D, Pillay, Nischalan, Pinder, Sarah, Pinese, Mark, Pinho, Andreia V, Pitkänen, Esa, Pivot, Xavier, Piñeiro-Yáñez, Elena, Planko, Laura, Plass, Christoph, Polak, Paz, Pons, Tirso, Popescu, Irinel, Potapova, Olga, Prasad, Aparna, Preston, Shaun R, 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, 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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
- Subjects
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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46. Avoiding Unnecessary Biopsy after Multiparametric Prostate MRI with VERDICT Analysis: The INNOVATE Study
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Singh, Saurabh, primary, Rogers, Harriet, additional, Kanber, Baris, additional, Clemente, Joey, additional, Pye, Hayley, additional, Johnston, Edward W., additional, Parry, Tom, additional, Grey, Alistair, additional, Dinneen, Eoin, additional, Shaw, Greg, additional, Heavey, Susan, additional, Stopka-Farooqui, Urszula, additional, Haider, Aiman, additional, Freeman, Alex, additional, Giganti, Francesco, additional, Atkinson, David, additional, Moore, Caroline M., additional, Whitaker, Hayley C., additional, Alexander, Daniel C., additional, Panagiotaki, Eleftheria, additional, and Punwani, Shonit, additional
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- 2022
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47. Identifying and Characterizing the Index Lesion
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Echeverria, Lina Maria Carmona, primary, Whitaker, Hayley, additional, and Ahmed, Hashim U., additional
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- 2017
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48. Upregulation of GALNT7 in prostate cancer modifies O-glycosylation and promotes tumour growth
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Munkley, Jennifer, primary, Scott, Emma, additional, Hodgson, Kirsty, additional, Calle, Beatriz, additional, Turner, Helen, additional, Cheung, Kathleen, additional, Bermudez, Abel, additional, Marques, Fernando, additional, Pye, Hayley, additional, Yo, Edward Christopher, additional, Islam, Khirul, additional, Oo, Htoo Zarni, additional, McClurg, Urszula L., additional, Wilson, Laura, additional, Thomas, Huw, additional, Frame, Fiona M., additional, Orozco-Moreno, Margarita, additional, Bastian, Kayla, additional, Arredondo, Hector M, additional, Roustan, Chloe, additional, Gray, Melissa Anne, additional, Kelly, Lois, additional, Tolson, Aaron, additional, Mellor, Ellie, additional, Hysenaj, Gerald, additional, Goode, Emily Archer, additional, Garnham, Rebecca, additional, Duxfield, Adam, additional, Heavey, Susan, additional, Stopka-Farooqui, Urszula, additional, Haider, Aiman, additional, Freeman, Alex, additional, Singh, Saurabh, additional, Johnston, Edward W., additional, Punwani, Shonit, additional, Knight, Bridget, additional, McCullagh, Paul, additional, McGrath, John, additional, Crundwell, Malcolm, additional, Harries, Lorna, additional, Bogdan, Denisa, additional, Westaby, Daniel, additional, Fowler, Gemma, additional, Flohr, Penny, additional, Yuan, Wei, additional, Sharp, Adam, additional, DeBono, Johann, additional, Maitland, Norman, additional, Wisnovsky, Simon, additional, Bertozzi, Carolyn, additional, Heer, Rakesh, additional, Guerrero, Ramon Hurtado, additional, Daugaard, Mads, additional, Leivo, Janne, additional, Whitaker, Hayley, additional, Pitteri, Sharon, additional, Wang, Ning, additional, Elliott, David, additional, and Schumann, Benjamin, additional
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- 2022
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49. Comparison of Multiparametric Magnetic Resonance Imaging with Prostate-Specific Membrane Antigen Positron-Emission Tomography Imaging in Primary Prostate Cancer Diagnosis: A Systematic Review and Meta-Analysis
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Zhao, Yi, primary, Simpson, Benjamin S., additional, Morka, Naomi, additional, Freeman, Alex, additional, Kirkham, Alex, additional, Kelly, Daniel, additional, Whitaker, Hayley C., additional, Emberton, Mark, additional, and Norris, Joseph M., additional
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- 2022
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50. Differentiating False Positive Lesions from Clinically Significant Cancer and Normal Prostate Tissue Using VERDICT MRI and Other Diffusion Models
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Sen, Snigdha, primary, Valindria, Vanya, additional, Slator, Paddy J., additional, Pye, Hayley, additional, Grey, Alistair, additional, Freeman, Alex, additional, Moore, Caroline, additional, Whitaker, Hayley, additional, Punwani, Shonit, additional, Singh, Saurabh, additional, and Panagiotaki, Eleftheria, additional
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- 2022
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