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1. Fc Effector Function Contributes to the Activity of Human Anti-CTLA-4 Antibodies

Author

Harrington, Kevin, Melcher, Alan, Wotherspoon, Andrew, Francis, Nicholas, Challacombe, Ben, Fernando, Archana, Hazell, Steve, Chandra, Ashish, Pickering, Lisa, Lynch, Joanna, Rudman, Sarah, Chowdhury, Simon, Harrison-Phipps, Karen, Varia, Mary, Horsfield, Catherine, Polson, Alexander, Stamp, Gordon, O'Donnell, Marie, Drake, William, Hill, Peter, Hrouda, David, Mayer, Eric, Olsburgh, Jonathan, Kooiman, Gordon, O'Connor, Kevin, Stewart, Grant, Aitchison, Michael, Tran, Maxine, Fotiadis, Nicos, Verma, Hema, Lopez, Jose, Lester, Jason, Morgan, Fiona, Kornaszewska, Malgorzata, Attanoos, Richard, Adams, Haydn, Davies, Helen, Fennell, Dean, Shaw, Jacqui, Le Quesne, John, Nakas, Apostolos, Rathinam, Sridhar, Monteiro, William, Marshall, Hilary, Nelson, Louise, Bennett, Jonathan, Riley, Joan, Primrose, Lindsay, Martinson, Luke, Anand, Girija, Khan, Sajid, Nicolson, Marianne, Kerr, Keith, Palmer, Shirley, Remmen, Hardy, Miller, Joy, Buchan, Keith, Chetty, Mahendran, Gomersall, Lesley, Lock, Sara, Naidu, Babu, Langman, Gerald, Trotter, Simon, Bellamy, Mary, Bancroft, Hollie, Kerr, Amy, Kadiri, Salma, Webb, Joanne, Middleton, Gary, Djearaman, Madava, Summers, Yvonne, Califano, Raffaele, Taylor, Paul, Shah, Rajesh, Krysiak, Piotr, Rammohan, Kendadai, Fontaine, Eustace, Booton, Richard, Evison, Matthew, Crosbie, Phil, Moss, Stuart, Idries, Faiza, Novasio, Juliette, Joseph, Leena, Bishop, Paul, Chaturvedi, Anshuman, Marie Quinn, Anne, Doran, Helen, leek, Angela, Harrison, Phil, Moore, Katrina, Waddington, Rachael, Blackhall, Fiona, Rogan, Jane, Smith, Elaine, Dive, Caroline, Brady, Ged, Rothwell, Dominic, Gulati, Sakshi, Chemie, Francesca, Tugwood, Jonathan, Pierce, Jackie, Lawrence, David, Hayward, Martin, Panagiotopoulos, Nikolaos, George, Robert, Patrini, Davide, Falzon, Mary, Borg, Elaine, Khiroya, Reena, Jamal-Hanjani, Mariam, Wilson, Gareth, Juul Birkbak, Nicolai, Watkins, Thomas, McGranahan, Nicholas, Abbosh, Christopher, Horswell, Stuart, Mitter, Richard, Escudero, Mickael, Stewart, Aengus, Rowan, Andrew, Hiley, Crispin, Goldman, Jacki, Ahmed, Asia, Taylor, Magali, Choudhary, Junaid, Shaw, Penny, Veeriah, Raju, Czyzewska-Khan, Justyna, Johnson, Diana, Laycock, Joanne, Hynds, Robert, Werner Sunderland, Mariana, Reading, James, Novelli, Marco, Oukrif, Dahmane, Janes, Sam, Forster, Martin, Ahmad, Tanya, Ming Lee, Siow, van Loo, Peter, Herrero, Javier, Hartley, John, Kevin Stone, Richard, Denner, Tamara, Costa, Marta, Begum, Sharmin, Phillimore, Ben, Chambers, Tim, Nye, Emma, Ward, Sophie, Elgar, Greg, Al-Bakir, Maise, Carnell, Dawn, Mendes, Ruheena, George, Jeremy, Navani, Neal, Papadatos-Pastos, Dionysis, Scarci, Marco, Gorman, Pat, Lowe, Helen, Ensell, Leah, Moore, David, MacKenzie, Mairead, Wilcox, Maggie, Bell, Harriet, Hackshaw, Allan, Ngai, Yenting, Smith, Sean, Gower, Nicole, Ottensmeier, Christian, Chee, Serena, Johnson, Benjamin, Alzetani, Aiman, Shaw, Emily, Lim, Eric, De Sousa, Paulo, Tavares Barbosa, Monica, Nicholson, Andrew, Bowman, Alex, Jordan, Simon, Rice, Alexandra, Raubenheimer, Hilgardt, Proli, Chiara, Elena Cufari, Maria, Carlo Ronquillo, John, Kwayie, Angela, Bhayani, Harshil, Hamilton, Morag, Bakar, Yusura, Mensah, Natalie, Ambrose, Lyn, Devaraj, Anand, Buderi, Silviu, Finch, Jonathan, Azcarate, Leire, Chavan, Hema, Green, Sophie, Mashinga, Hillaria, Lau, Kelvin, Sheaff, Michael, Schmid, Peter, Conibear, John, Ezhil, Veni, Prakash, Vineet, Danson, Sarah, Bury, Jonathan, Edwards, John, Hill, Jennifer, Matthews, Sue, Kitsanta, Yota, Suvarna, Kim, Shackcloth, Michael, Gosney, John, Postmus, Pieter, Feeney, Sarah, Asante-Siaw, Julius, Russell, Peter, Light, Teresa, Horey, Tracey, Blyth, Kevin, Dick, Craig, Kirk, Alan, Arce Vargas, Frederick, Furness, Andrew J.S., Litchfield, Kevin, Joshi, Kroopa, Rosenthal, Rachel, Ghorani, Ehsan, Solomon, Isabelle, Lesko, Marta H., Ruef, Nora, Roddie, Claire, Henry, Jake Y., Spain, Lavinia, Ben Aissa, Assma, Georgiou, Andrew, Wong, Yien Ning Sophia, Smith, Myles, Strauss, Dirk, Hayes, Andrew, Nicol, David, O'Brien, Tim, Mårtensson, Linda, Ljungars, Anne, Teige, Ingrid, Frendéus, Björn, Pule, Martin, Marafioti, Teresa, Gore, Martin, Larkin, James, Turajlic, Samra, Swanton, Charles, Peggs, Karl S., and Quezada, Sergio A.

Published
2018
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2. Allele-Specific HLA Loss and Immune Escape in Lung Cancer Evolution

Author

Swanton, Charles, Jamal-Hanjani, Mariam, Veeriah, Selvaraju, Shafi, Seema, Czyzewska-Khan, Justyna, Johnson, Diana, Laycock, Joanne, Bosshard-Carter, Leticia, Rosenthal, Rachel, Gorman, Pat, Hynds, Robert E., Wilson, Gareth, Birkbak, Nicolai J., Watkins, Thomas B.K., McGranahan, Nicholas, Horswell, Stuart, Mitter, Richard, Escudero, Mickael, Stewart, Aengus, Van Loo, Peter, Rowan, Andrew, Xu, Hang, Turajlic, Samra, Hiley, Crispin, Abbosh, Christopher, Goldman, Jacki, Stone, Richard Kevin, Denner, Tamara, Matthews, Nik, Elgar, Greg, Ward, Sophia, Costa, Marta, Begum, Sharmin, Phillimore, Ben, Chambers, Tim, Nye, Emma, Graca, Sofia, Al Bakir, Maise, Joshi, Kroopa, Furness, Andrew, Ben Aissa, Assma, Wong, Yien Ning Sophia, Georgiou, Andy, Quezada, Sergio, Hartley, John A., Lowe, Helen L., Herrero, Javier, Lawrence, David, Hayward, Martin, Panagiotopoulos, Nikolaos, Kolvekar, Shyam, Falzon, Mary, Borg, Elaine, Marafioti, Teresa, Simeon, Celia, Hector, Gemma, Smith, Amy, Aranda, Marie, Novelli, Marco, Oukrif, Dahmane, Janes, Sam M., Thakrar, Ricky, Forster, Martin, Ahmad, Tanya, Lee, Siow Ming, Papadatos-Pastos, Dionysis, Carnell, Dawn, Mendes, Ruheena, George, Jeremy, Navani, Neal, Ahmed, Asia, Taylor, Magali, Choudhary, Junaid, Summers, Yvonne, Califano, Raffaele, Taylor, Paul, Shah, Rajesh, Krysiak, Piotr, Rammohan, Kendadai, Fontaine, Eustace, Booton, Richard, Evison, Matthew, Crosbie, Phil, Moss, Stuart, Idries, Faiza, Joseph, Leena, Bishop, Paul, Chaturved, Anshuman, Quinn, Anne Marie, Doran, Helen, Leek, Angela, Harrison, Phil, Moore, Katrina, Waddington, Rachael, Novasio, Juliette, Blackhall, Fiona, Rogan, Jane, Smith, Elaine, Dive, Caroline, Tugwood, Jonathan, Brady, Ged, Rothwell, Dominic G., Chemi, Francesca, Pierce, Jackie, Gulati, Sakshi, Naidu, Babu, Langman, Gerald, Trotter, Simon, Bellamy, Mary, Bancroft, Hollie, Kerr, Amy, Kadiri, Salma, Webb, Joanne, Middleton, Gary, Djearaman, Madava, Fennell, Dean, Shaw, Jacqui A., Le Quesne, John, Moore, David, Nakas, Apostolos, Rathinam, Sridhar, Monteiro, William, Marshall, Hilary, Nelson, Louise, Bennett, Jonathan, Riley, Joan, Primrose, Lindsay, Martinson, Luke, Anand, Girija, Khan, Sajid, Amadi, Anita, Nicolson, Marianne, Kerr, Keith, Palmer, Shirley, Remmen, Hardy, Miller, Joy, Buchan, Keith, Chetty, Mahendran, Gomersall, Lesley, Lester, Jason, Edwards, Alison, Morgan, Fiona, Adams, Haydn, Davies, Helen, Kornaszewska, Malgorzata, Attanoos, Richard, Lock, Sara, Verjee, Azmina, MacKenzie, Mairead, Wilcox, Maggie, Bell, Harriet, Hackshaw, Allan, Ngai, Yenting, Smith, Sean, Gower, Nicole, Ottensmeier, Christian, Chee, Serena, Johnson, Benjamin, Alzetani, Aiman, Shaw, Emily, Lim, Eric, De Sousa, Paulo, Barbosa, Monica Tavares, Bowman, Alex, Jordan, Simon, Rice, Alexandra, Raubenheimer, Hilgardt, Proli, Chiara, Cufari, Maria Elena, Ronquillo, John Carlo, Kwayie, Angela, Bhayani, Harshil, Hamilton, Morag, Bakar, Yusura, Mensah, Natalie, Ambrose, Lyn, Devaraj, Anand, Buderi, Silviu, Finch, Jonathan, Azcarate, Leire, Chavan, Hema, Green, Sophie, Mashinga, Hillaria, Nicholson, Andrew G., Lau, Kelvin, Sheaff, Michael, Schmid, Peter, Conibear, John, Ezhil, Veni, Ismail, Babikir, Irvin-sellers, Melanie, Prakash, Vineet, Russell, Peter, Light, Teresa, Horey, Tracey, Danson, Sarah, Bury, Jonathan, Edwards, John, Hill, Jennifer, Matthews, Sue, Kitsanta, Yota, Suvarna, Kim, Fisher, Patricia, Keerio, Allah Dino, Shackcloth, Michael, Gosney, John, Postmus, Pieter, Feeney, Sarah, Asante-Siaw, Julius, Aerts, Hugo J.W.L., Dentro, Stefan, Dessimoz, Christophe, Hiley, Crispin T., Rowan, Andrew J., and Wilson, Gareth A.

Published
2017
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3. Reproducibility in Radiomics: A Comparison of Feature Extraction Methods and Two Independent Datasets

Author

Thomas, Hannah Mary T., primary, Wang, Helen Y. C., additional, Varghese, Amal Joseph, additional, Donovan, Ellen M., additional, South, Chris P., additional, Saxby, Helen, additional, Nisbet, Andrew, additional, Prakash, Vineet, additional, Sasidharan, Balu Krishna, additional, Pavamani, Simon Pradeep, additional, Devadhas, Devakumar, additional, Mathew, Manu, additional, Isiah, Rajesh Gunasingam, additional, and Evans, Philip M., additional

Published
2023
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4. Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution

Author

Abbosh, Christopher, Birkbak, Nicolai J., Wilson, Gareth A., Jamal-Hanjani, Mariam, Constantin, Tudor, Salari, Raheleh, Le Quesne, John, Moore, David A., Veeriah, Selvaraju, Rosenthal, Rachel, Marafioti, Teresa, Kirkizlar, Eser, Watkins, Thomas B. K., McGranahan, Nicholas, Ward, Sophia, Martinson, Luke, Riley, Joan, Fraioli, Francesco, Al Bakir, Maise, Grnroos, Eva, Zambrana, Francisco, Endozo, Raymondo, Bi, Wenya Linda, Fennessy, Fiona M., Sponer, Nicole, Johnson, Diana, Laycock, Joanne, Shafi, Seema, Czyzewska-Khan, Justyna, Rowan, Andrew, Chambers, Tim, Matthews, Nik, Turajlic, Samra, Hiley, Crispin, Lee, Siow Ming, Forster, Martin D., Ahmad, Tanya, Falzon, Mary, Borg, Elaine, Lawrence, David, Hayward, Martin, Kolvekar, Shyam, Panagiotopoulos, Nikolaos, Janes, Sam M., Thakrar, Ricky, Ahmed, Asia, Blackhall, Fiona, Summers, Yvonne, Hafez, Dina, Naik, Ashwini, Ganguly, Apratim, Kareht, Stephanie, Shah, Rajesh, Joseph, Leena, Marie Quinn, Anne, Crosbie, Phil A., Naidu, Babu, Middleton, Gary, Langman, Gerald, Trotter, Simon, Nicolson, Marianne, Remmen, Hardy, Kerr, Keith, Chetty, Mahendran, Gomersall, Lesley, Fennell, Dean A., Nakas, Apostolos, Rathinam, Sridhar, Anand, Girija, Khan, Sajid, Russell, Peter, Ezhil, Veni, Ismail, Babikir, Irvin-Sellers, Melanie, Prakash, Vineet, Lester, Jason F., Kornaszewska, Malgorzata, Attanoos, Richard, Adams, Haydn, Davies, Helen, Oukrif, Dahmane, Akarca, Ayse U., Hartley, John A., Lowe, Helen L., Lock, Sara, Iles, Natasha, Bell, Harriet, Ngai, Yenting, Elgar, Greg, Szallasi, Zoltan, Schwarz, Roland F., Herrero, Javier, Stewart, Aengus, Quezada, Sergio A., Peggs, Karl S., Van Loo, Peter, Dive, Caroline, Lin, C. Jimmy, Rabinowitz, Matthew, Aerts, Hugo J. W. L., Hackshaw, Allan, Shaw, Jacqui A., Zimmermann, Bernhard G., Swanton, Charles, Bosshard-Carter, Leticia, Goh, Gerald, Gorman, Pat, Murugaesu, Nirupa, Hynds, Robert E., Horswell, Stuart, Bakir, Maise Al, Mitter, Richard, Escudero, Mickael, Xu, Hang, Goldman, Jacki, Stone, Richard Kevin, Denner, Tamara, Biggs, Jennifer, Costa, Marta, Begum, Sharmin, Phillimore, Ben, Nye, Emma, Graca, Sofia, Joshi, Kroopa, Furness, Andrew, Ben Aissa, Assma, Wong, Yien Ning Sophia, Georgiou, Andy, Simeon, Celia, Hector, Gemma, Smith, Amy, Aranda, Marie, Novelli, Marco, Papadatos-Pastos, Dionysis, Carnell, Dawn, Mendes, Ruheena, George, Jeremy, Navani, Neal, Taylor, Magali, Choudhary, Junaid, Califano, Raffaele, Taylor, Paul, Krysiak, Piotr, Rammohan, Kendadai, Fontaine, Eustace, Booton, Richard, Evison, Matthew, Moss, Stuart, Idries, Faiza, Bishop, Paul, Chaturvedi, Anshuman, Quinn, Anne Marie, Doran, Helen, Leek, Angela, Harrison, Phil, Moore, Katrina, Waddington, Rachael, Novasio, Juliette, Rogan, Jane, Smith, Elaine, Tugwood, Jonathan, Brady, Ged, Rothwell, Dominic G., Chemi, Francesca, Pierce, Jackie, Gulati, Sakshi, Bellamy, Mary, Bancroft, Hollie, Kerr, Amy, Kadiri, Salma, Webb, Joanne, Djearaman, Madava, Quesne, John Le, Thomas, Anne, Walter, Harriet, Monteiro, William, Marshall, Hilary, Nelson, Louise, Bennett, Jonathan, Primrose, Lindsay, Amadi, Anita, Palmer, Shirley, Miller, Joy, Buchan, Keith, Edwards, Alison, Morgan, Fiona, Verjee, Azmina, MacKenzie, Mairead, Wilcox, Maggie, Smith, Sean, Gower, Nicole, Ottensmeier, Christian, Chee, Serena, Johnson, Benjamin, Alzetani, Aiman, Shaw, Emily, Lim, Eric, De Sousa, Paulo, Barbosa, Monica Tavares, Bowman, Alex, Jordan, Simon, Rice, Alexandra, Raubenheimer, Hilgardt, Proli, Chiara, Cufari, Maria Elena, Ronquillo, John Carlo, Kwayie, Angela, Bhayani, Harshil, Hamilton, Morag, Bakar, Yusura, Mensah, Natalie, Ambrose, Lyn, Devaraj, Anand, Buderi, Silviu, Finch, Jonathan, Azcarate, Leire, Chavan, Hema, Green, Sophie, Mashinga, Hillaria, Nicholson, Andrew G., Lau, Kelvin, Sheaff, Michael, Schmid, Peter, Conibear, John, Light, Teresa, Horey, Tracey, Danson, Sarah, Bury, Jonathan, Edwards, John, Hill, Jennifer, Matthews, Sue, Kitsanta, Yota, Suvarna, Kim, Fisher, Patricia, Keerio, Allah Dino, Shackcloth, Michael, Gosney, John, Postmus, Pieter, Feeney, Sarah, Asante-Siaw, Julius, Dentro, Stefan, and Dessimoz, Christophe

Subjects
Lung cancer -- Genetic aspects -- Development and progression, DNA sequencing -- Methods, Phylogeny -- Observations, Cancer metastasis -- Genetic aspects, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

The early detection of relapse following primary surgery for non-small-cell lung cancer and the characterization of emerging subclones, which seed metastatic sites, might offer new therapeutic approaches for limiting tumour recurrence. The ability to track the evolutionary dynamics of early-stage lung cancer non-invasively in circulating tumour DNA (ctDNA) has not yet been demonstrated. Here we use a tumour-specific phylogenetic approach to profile the ctDNA of the first 100 TRACERx (Tracking Non-Small-Cell Lung Cancer Evolution Through Therapy (Rx)) study participants, including one patient who was also recruited to the PEACE (Posthumous Evaluation of Advanced Cancer Environment) post-mortem study. We identify independent predictors of ctDNA release and analyse the tumour-volume detection limit. Through blinded profiling of postoperative plasma, we observe evidence of adjuvant chemotherapy resistance and identify patients who are very likely to experience recurrence of their lung cancer. Finally, we show that phylogenetic ctDNA profiling tracks the subclonal nature of lung cancer relapse and metastasis, providing a new approach for ctDNA-driven therapeutic studies., Author(s): Christopher Abbosh [1]; Nicolai J. Birkbak [1, 2]; Gareth A. Wilson [1, 2]; Mariam Jamal-Hanjani [1]; Tudor Constantin [3]; Raheleh Salari [3]; John Le Quesne [4]; David A. Moore [...]

Published
2017
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5. Corrigendum: Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution

Author

Abbosh, Christopher, Birkbak, Nicolai J., Wilson, Gareth A., Jamal-Hanjani, Mariam, Constantin, Tudor, Salari, Raheleh, Le Quesne, John, Moore, David A., Veeriah, Selvaraju, Rosenthal, Rachel, Marafioti, Teresa, Kirkizlar, Eser, Watkins, Thomas B. K., McGranahan, Nicholas, Ward, Sophia, Martinson, Luke, Riley, Joan, Fraioli, Francesco, Al Bakir, Maise, Grnroos, Eva, Zambrana, Francisco, Endozo, Raymondo, Bi, Wenya Linda, Fennessy, Fiona M., Sponer, Nicole, Johnson, Diana, Laycock, Joanne, Shafi, Seema, Czyzewska-Khan, Justyna, Rowan, Andrew, Chambers, Tim, Matthews, Nik, Turajlic, Samra, Hiley, Crispin, Lee, Siow Ming, Forster, Martin D., Ahmad, Tanya, Falzon, Mary, Borg, Elaine, Lawrence, David, Hayward, Martin, Kolvekar, Shyam, Panagiotopoulos, Nikolaos, Janes, Sam M., Thakrar, Ricky, Ahmed, Asia, Blackhall, Fiona, Summers, Yvonne, Hafez, Dina, Naik, Ashwini, Ganguly, Apratim, Kareht, Stephanie, Shah, Rajesh, Joseph, Leena, Quinn, Anne Marie, Crosbie, Phil A., Naidu, Babu, Middleton, Gary, Langman, Gerald, Trotter, Simon, Nicolson, Marianne, Remmen, Hardy, Kerr, Keith, Chetty, Mahendran, Gomersall, Lesley, Fennell, Dean A., Nakas, Apostolos, Rathinam, Sridhar, Anand, Girija, Khan, Sajid, Russell, Peter, Ezhil, Veni, Ismail, Babikir, Irvin-Sellers, Melanie, Prakash, Vineet, Lester, Jason F., Kornaszewska, Malgorzata, Attanoos, Richard, Adams, Haydn, Davies, Helen, Oukrif, Dahmane, Akarca, Ayse U., Hartley, John A., Lowe, Helen L., Lock, Sara, Iles, Natasha, Bell, Harriet, Ngai, Yenting, Elgar, Greg, Szallasi, Zoltan, Schwarz, Roland F., Herrero, Javier, Stewart, Aengus, Quezada, Sergio A., Peggs, Karl S., Van Loo, Peter, Dive, Caroline, Lin, C. Jimmy, Rabinowitz, Matthew, Aerts, Hugo J. W. L., Hackshaw, Allan, Shaw, Jacqui A., Zimmermann, Bernhard G., and Swanton, Charles

Subjects
Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Author(s): Christopher Abbosh; Nicolai J. Birkbak; Gareth A. Wilson; Mariam Jamal-Hanjani; Tudor Constantin; Raheleh Salari; John Le Quesne; David A. Moore; Selvaraju Veeriah; Rachel Rosenthal; Teresa Marafioti; Eser Kirkizlar; Thomas [...]

Published
2018
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7. Sex differences in the agreement between left ventricular ejection fraction measured by myocardial perfusion scintigraphy and by echocardiography

Author

Jaker, Sams, primary, Burgan, Amjad, additional, Prakash, Vineet, additional, Birkinshaw, Alexander, additional, Moosai, Kishan, additional, Jacques, Adam, additional, Fluck, David, additional, MacGregor, Mark, additional, Lazariashvili, Otar, additional, Sharma, Pankaj, additional, Fry, Christopher H, additional, and Han, Thang S, additional

Published
2020
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8. Fc effector function contributes to the activity of human anti-CTLA-4 antibodies

Author

Arce Vargas, Frederick, Furness, Andrew J.S., Litchfield, Kevin, Joshi, Kroopa, Rosenthal, Rachel, Ghorani, Ehsan, Solomon, Isabelle, Lesko, Marta H., Ruef, Nora, Roddie, Claire, Henry, Jake Y., Spain, Lavinia, Ben Aissa, Assma, Georgiou, Andrew, Wong, Yien Ning Sophia, Smith, Myles, Strauss, Dirk, Hayes, Andrew, Nicol, David, O'Brien, Tim, Mårtensson, Linda, Ljungars, Anne, Teige, Ingrid, Frendéus, Björn, Pule, Martin, Marafioti, Teresa, Gore, Martin, Larkin, James, Turajlic, Samra, Swanton, Charles, Peggs, Karl S., Quezada, Sergio A., Harrington, Kevin, Melcher, Alan, Wotherspoon, Andrew, Francis, Nicholas, Challacombe, Ben, Fernando, Archana, Hazell, Steve, Chandra, Ashish, Pickering, Lisa, Lynch, Joanna, Rudman, Sarah, Chowdhury, Simon, Harrison-Phipps, Karen, Varia, Mary, Horsfield, Catherine, Polson, Alexander, Stamp, Gordon, O'Donnell, Marie, Drake, William, Hill, Peter, Hrouda, David, Mayer, Eric, Olsburgh, Jonathan, Kooiman, Gordon, O'Connor, Kevin, Stewart, Grant, Aitchison, Michael, Tran, Maxine, Fotiadis, Nicos, Verma, Hema, Lopez, Jose, Lester, Jason, Morgan, Fiona, Kornaszewska, Malgorzata, Attanoos, Richard, Adams, Haydn, Davies, Helen, Fennell, Dean, Shaw, Jacqui, Le Quesne, John, Nakas, Apostolos, Rathinam, Sridhar, Monteiro, William, Marshall, Hilary, Nelson, Louise, Bennett, Jonathan, Riley, Joan, Primrose, Lindsay, Martinson, Luke, Anand, Girija, Khan, Sajid, Nicolson, Marianne, Kerr, Keith, Palmer, Shirley, Remmen, Hardy, Miller, Joy, Buchan, Keith, Chetty, Mahendran, Gomersall, Lesley, Lock, Sara, Naidu, Babu, Langman, Gerald, Trotter, Simon, Bellamy, Mary, Bancroft, Hollie, Kerr, Amy, Kadiri, Salma, Webb, Joanne, Middleton, Gary, Djearaman, Madava, Summers, Yvonne, Califano, Raffaele, Taylor, Paul, Shah, Rajesh, Krysiak, Piotr, Rammohan, Kendadai, Fontaine, Eustace, Booton, Richard, Evison, Matthew, Crosbie, Phil, Moss, Stuart, Idries, Faiza, Novasio, Juliette, Joseph, Leena, Bishop, Paul, Chaturvedi, Anshuman, Marie Quinn, Anne, Doran, Helen, leek, Angela, Harrison, Phil, Moore, Katrina, Waddington, Rachael, Blackhall, Fiona, Rogan, Jane, Smith, Elaine, Dive, Caroline, Brady, Ged, Rothwell, Dominic, Gulati, Sakshi, Chemie, Francesca, Tugwood, Jonathan, Pierce, Jackie, Lawrence, David, Hayward, Martin, Panagiotopoulos, Nikolaos, George, Robert, Patrini, Davide, Falzon, Mary, Borg, Elaine, Khiroya, Reena, Jamal-Hanjani, Mariam, Wilson, Gareth, Juul Birkbak, Nicolai, Watkins, Thomas, McGranahan, Nicholas, Abbosh, Christopher, Horswell, Stuart, Mitter, Richard, Escudero, Mickael, Stewart, Aengus, Rowan, Andrew, Hiley, Crispin, Goldman, Jacki, Ahmed, Asia, Taylor, Magali, Choudhary, Junaid, Shaw, Penny, Veeriah, Raju, Czyzewska-Khan, Justyna, Johnson, Diana, Laycock, Joanne, Hynds, Robert, Werner Sunderland, Mariana, Reading, James, Novelli, Marco, Oukrif, Dahmane, Janes, Sam, Forster, Martin, Ahmad, Tanya, Ming Lee, Siow, van Loo, Peter, Herrero, Javier, Hartley, John, Kevin Stone, Richard, Denner, Tamara, Costa, Marta, Begum, Sharmin, Phillimore, Ben, Chambers, Tim, Nye, Emma, Ward, Sophie, Elgar, Greg, Al-Bakir, Maise, Carnell, Dawn, Mendes, Ruheena, George, Jeremy, Navani, Neal, Papadatos-Pastos, Dionysis, Scarci, Marco, Gorman, Pat, Lowe, Helen, Ensell, Leah, Moore, David, MacKenzie, Mairead, Wilcox, Maggie, Bell, Harriet, Hackshaw, Allan, Ngai, Yenting, Smith, Sean, Gower, Nicole, Ottensmeier, Christian, Chee, Serena, Johnson, Benjamin, Alzetani, Aiman, Shaw, Emily, Lim, Eric, De Sousa, Paulo, Tavares Barbosa, Monica, Nicholson, Andrew, Bowman, Alex, Jordan, Simon, Rice, Alexandra, Raubenheimer, Hilgardt, Proli, Chiara, Elena Cufari, Maria, Carlo Ronquillo, John, Kwayie, Angela, Bhayani, Harshil, Hamilton, Morag, Bakar, Yusura, Mensah, Natalie, Ambrose, Lyn, Devaraj, Anand, Buderi, Silviu, Finch, Jonathan, Azcarate, Leire, Chavan, Hema, Green, Sophie, Mashinga, Hillaria, Lau, Kelvin, Sheaff, Michael, Schmid, Peter, Conibear, John, Ezhil, Veni, Prakash, Vineet, Danson, Sarah, Bury, Jonathan, Edwards, John, Hill, Jennifer, Matthews, Sue, Kitsanta, Yota, Suvarna, Kim, Shackcloth, Michael, Gosney, John, Postmus, Pieter, Feeney, Sarah, Asante-Siaw, Julius, Russell, Peter, Light, Teresa, Horey, Tracey, Blyth, Kevin, Dick, Craig, and Kirk, Alan

Abstract

With the use of a mouse model expressing human Fc-gamma receptors (FcγRs), we demonstrated that antibodies with isotypes equivalent to ipilimumab and tremelimumab mediate intra-tumoral regulatory T (Treg) cell depletion in vivo, increasing the CD8+ to Treg cell ratio and promoting tumor rejection. Antibodies with improved FcγR binding profiles drove superior anti-tumor responses and survival. In patients with advanced melanoma, response to ipilimumab was associated with the CD16a-V158F high affinity polymorphism. Such activity only appeared relevant in the context of inflamed tumors, explaining the modest response rates observed in the clinical setting. Our data suggest that the activity of anti-CTLA-4 in inflamed tumors may be improved through enhancement of FcγR binding, whereas poorly infiltrated tumors will likely require combination approaches.

Published
2018

11. Fc-Optimized Anti-CD25 Depletes Tumor-Infiltrating Regulatory T Cells and Synergizes with PD-1 Blockade to Eradicate Established Tumors

Author

Spain, Lavinia, Wotherspoon, Andrew, Francis, Nicholas, Smith, Myles, Strauss, Dirk, Hayes, Andrew, Soultati, Aspasia, Stares, Mark, Lynch, Joanna, Fotiadis, Nicos, Fernando, Archana, Hazell, Steve, Chandra, Ashish, Pickering, Lisa, Rudman, Sarah, Chowdhury, Simon, Swanton, Charles, Jamal-Hanjani, Mariam, Veeriah, Selvaraju, Shafi, Seema, Czyzewska-Khan, Justyna, Johnson, Diana, Laycock, Joanne, Bosshard-Carter, Leticia, Goh, Gerald, Rosenthal, Rachel, Gorman, Pat, Murugaesu, Nirupa, Hynds, Robert E., Wilson, Gareth, Birkbak, Nicolai J., Watkins, Thomas B.K., McGranahan, Nicholas, Horswell, Stuart, Mitter, Richard, Escudero, Mickael, Stewart, Aengus, Van Loo, Peter, Rowan, Andrew, Xu, Hang, Turajlic, Samra, Hiley, Crispin, Abbosh, Christopher, Goldman, Jacki, Stone, Richard Kevin, Denner, Tamara, Matthews, Nik, Elgar, Greg, Ward, Sophia, Biggs, Jennifer, Costa, Marta, Begum, Sharmin, Phillimore, Ben, Chambers, Tim, Nye, Emma, Graca, Sofia, Al Bakir, Maise, Hartley, John A., Lowe, Helen L., Herrero, Javier, Lawrence, David, Hayward, Martin, Panagiotopoulos, Nikolaos, Kolvekar, Shyam, Falzon, Mary, Borg, Elaine, Simeon, Celia, Hector, Gemma, Smith, Amy, Aranda, Marie, Novelli, Marco, Oukrif, Dahmane, Janes, Sam M., Thakrar, Ricky, Forster, Martin, Ahmad, Tanya, Lee, Siow Ming, Papadatos-Pastos, Dionysis, Carnell, Dawn, Mendes, Ruheena, George, Jeremy, Navani, Neal, Ahmed, Asia, Taylor, Magali, Choudhary, Junaid, Summers, Yvonne, Califano, Raffaele, Taylor, Paul, Shah, Rajesh, Krysiak, Piotr, Rammohan, Kendadai, Fontaine, Eustace, Booton, Richard, Evison, Matthew, Crosbie, Phil, Moss, Stuart, Idries, Faiza, Joseph, Leena, Bishop, Paul, Chaturved, Anshuman, Quinn, Anne Marie, Doran, Helen, Leek, Angela, Harrison, Phil, Moore, Katrina, Waddington, Rachael, Novasio, Juliette, Blackhall, Fiona, Rogan, Jane, Smith, Elaine, Dive, Caroline, Tugwood, Jonathan, Brady, Ged, Rothwell, Dominic G., Chemi, Francesca, Pierce, Jackie, Gulati, Sakshi, Naidu, Babu, Langman, Gerald, Trotter, Simon, Bellamy, Mary, Bancroft, Hollie, Kerr, Amy, Kadiri, Salma, Webb, Joanne, Middleton, Gary, Djearaman, Madava, Fennell, Dean, Shaw, Jacqui A., Le Quesne, John, Moore, David, Nakas, Apostolos, Rathinam, Sridhar, Monteiro, William, Marshall, Hilary, Nelson, Louise, Bennett, Jonathan, Riley, Joan, Primrose, Lindsay, Martinson, Luke, Anand, Girija, Khan, Sajid, Amadi, Anita, Nicolson, Marianne, Kerr, Keith, Palmer, Shirley, Remmen, Hardy, Miller, Joy, Buchan, Keith, Chetty, Mahendran, Gomersall, Lesley, Lester, Jason, Edwards, Alison, Morgan, Fiona, Adams, Haydn, Davies, Helen, Kornaszewska, Malgorzata, Attanoos, Richard, Lock, Sara, Verjee, Azmina, MacKenzie, Mairead, Wilcox, Maggie, Bell, Harriet, Iles, Natasha, Hackshaw, Allan, Ngai, Yenting, Smith, Sean, Gower, Nicole, Ottensmeier, Christian, Chee, Serena, Johnson, Benjamin, Alzetani, Aiman, Shaw, Emily, Lim, Eric, De Sousa, Paulo, Barbosa, Monica Tavares, Bowman, Alex, Jorda, Simon, Rice, Alexandra, Raubenheimer, Hilgardt, Proli, Chiara, Cufari, Maria Elena, Ronquillo, John Carlo, Kwayie, Angela, Bhayani, Harshil, Hamilton, Morag, Bakar, Yusura, Mensah, Natalie, Ambrose, Lyn, Devaraj, Anand, Buderi, Silviu, Finch, Jonathan, Azcarate, Leire, Chavan, Hema, Green, Sophie, Mashinga, Hillaria, Nicholson, Andrew G., Lau, Kelvin, Sheaff, Michael, Schmid, Peter, Conibear, John, Ezhil, Veni, Ismail, Babikir, Irvin-sellers, Melanie, Prakash, Vineet, Russell, Peter, Light, Teresa, Horey, Tracey, Danson, Sarah, Bury, Jonathan, Edwards, John, Hill, Jennifer, Matthews, Sue, Kitsanta, Yota, Suvarna, Kim, Fisher, Patricia, Keerio, Allah Dino, Shackcloth, Michael, Gosney, John, Postmus, Pieter, Feeney, Sarah, Asante-Siaw, Julius, Arce Vargas, Frederick, Furness, Andrew J.S., Solomon, Isabelle, Joshi, Kroopa, Mekkaoui, Leila, Lesko, Marta H., Miranda Rota, Enrique, Dahan, Rony, Georgiou, Andrew, Sledzinska, Anna, Ben Aissa, Assma, Franz, Dafne, Werner Sunderland, Mariana, Wong, Yien Ning Sophia, Henry, Jake Y., O’Brien, Tim, Nicol, David, Challacombe, Ben, Beers, Stephen A., Gore, Martin, Larkin, James, Chester, Kerry A., Pule, Martin, Ravetch, Jeffrey V., Marafioti, Teresa, Peggs, Karl S., and Quezada, Sergio A.

Published
2017
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12. Fc-Optimized Anti-CD25 depletes tumor-infiltrating regulatory T Cells and synergizes with PD-1 Blockade to eradicate established tumors

Author

Arce Vargas, Frederick, Furness, Andrew J.S., Solomon, Isabelle, Joshi, Kroopa, Mekkaoui, Leila, Lesko, Marta H., Miranda Rota, Enrique, Dahan, Rony, Georgiou, Andrew, Sledzinska, Anna, Ben Aissa, Assma, Franz, Dafne, Werner Sunderland, Mariana, Wong, Yien Ning Sophia, Henry, Jake Y., O’Brien, Tim, Nicol, David, Challacombe, Ben, Beers, Stephen A., Turajlic, Samra, Gore, Martin, Larkin, James, Swanton, Charles, Chester, Kerry A., Pule, Martin, Ravetch, Jeffrey V., Marafioti, Teresa, Peggs, Karl S., Quezada, Sergio A., Spain, Lavinia, Wotherspoon, Andrew, Francis, Nicholas, Smith, Myles, Strauss, Dirk, Hayes, Andrew, Soultati, Aspasia, Stares, Mark, Lynch, Joanna, Fotiadis, Nicos, Fernando, Archana, Hazell, Steve, Chandra, Ashish, Pickering, Lisa, Rudman, Sarah, Chowdhury, Simon, Jamal-Hanjani, Mariam, Veeriah, Selvaraju, Shafi, Seema, Czyzewska-Khan, Justyna, Johnson, Diana, Laycock, Joanne, Bosshard-Carter, Leticia, Goh, Gerald, Rosenthal, Rachel, Gorman, Pat, Murugaesu, Nirupa, Hynds, Robert E., Wilson, Gareth, Birkbak, Nicolai J., Watkins, Thomas B.K., McGranahan, Nicholas, Horswell, Stuart, Mitter, Richard, Escudero, Mickael, Stewart, Aengus, Van Loo, Peter, Rowan, Andrew, Xu, Hang, Hiley, Crispin, Abbosh, Christopher, Goldman, Jacki, Stone, Richard Kevin, Denner, Tamara, Matthews, Nik, Elgar, Greg, Ward, Sophia, Biggs, Jennifer, Costa, Marta, Begum, Sharmin, Phillimore, Ben, Chambers, Tim, Nye, Emma, Graca, Sofia, Al Bakir, Maise, Hartley, John A., Lowe, Helen L., Herrero, Javier, Lawrence, David, Hayward, Martin, Panagiotopoulos, Nikolaos, Kolvekar, Shyam, Falzon, Mary, Borg, Elaine, Simeon, Celia, Hector, Gemma, Smith, Amy, Aranda, Marie, Novelli, Marco, Oukrif, Dahmane, Janes, Sam M., Thakrar, Ricky, Forster, Martin, Ahmad, Tanya, Lee, Siow Ming, Papadatos-Pastos, Dionysis, Carnell, Dawn, Mendes, Ruheena, George, Jeremy, Navani, Neal, Ahmed, Asia, Taylor, Magali, Choudhary, Junaid, Summers, Yvonne, Califano, Raffaele, Taylor, Paul, Shah, Rajesh, Krysiak, Piotr, Rammohan, Kendadai, Fontaine, Eustace, Booton, Richard, Evison, Matthew, Crosbie, Phil, Moss, Stuart, Idries, Faiza, Joseph, Leena, Bishop, Paul, Chaturved, Anshuman, Quinn, Anne Marie, Doran, Helen, Leek, Angela, Harrison, Phil, Moore, Katrina, Waddington, Rachael, Novasio, Juliette, Blackhall, Fiona, Rogan, Jane, Smith, Elaine, Dive, Caroline, Tugwood, Jonathan, Brady, Ged, Rothwell, Dominic G., Chemi, Francesca, Pierce, Jackie, Gulati, Sakshi, Naidu, Babu, Langman, Gerald, Trotter, Simon, Bellamy, Mary, Bancroft, Hollie, Kerr, Amy, Kadiri, Salma, Webb, Joanne, Middleton, Gary, Djearaman, Madava, Fennell, Dean, Shaw, Jacqui A., Le Quesne, John, Moore, David, Nakas, Apostolos, Rathinam, Sridhar, Monteiro, William, Marshall, Hilary, Nelson, Louise, Bennett, Jonathan, Riley, Joan, Primrose, Lindsay, Martinson, Luke, Anand, Girija, Khan, Sajid, Amadi, Anita, Nicolson, Marianne, Kerr, Keith, Palmer, Shirley, Remmen, Hardy, Miller, Joy, Buchan, Keith, Chetty, Mahendran, Gomersall, Lesley, Lester, Jason, Edwards, Alison, Morgan, Fiona, Adams, Haydn, Davies, Helen, Kornaszewska, Malgorzata, Attanoos, Richard, Lock, Sara, Verjee, Azmina, MacKenzie, Mairead, Wilcox, Maggie, Bell, Harriet, Iles, Natasha, Hackshaw, Allan, Ngai, Yenting, Smith, Sean, Gower, Nicole, Ottensmeier, Christian, Chee, Serena, Johnson, Benjamin, Alzetani, Aiman, Shaw, Emily, Lim, Eric, De Sousa, Paulo, Barbosa, Monica Tavares, Bowman, Alex, Jorda, Simon, Rice, Alexandra, Raubenheimer, Hilgardt, Proli, Chiara, Cufari, Maria Elena, Ronquillo, John Carlo, Kwayie, Angela, Bhayani, Harshil, Hamilton, Morag, Bakar, Yusura, Mensah, Natalie, Ambrose, Lyn, Devaraj, Anand, Buderi, Silviu, Finch, Jonathan, Azcarate, Leire, Chavan, Hema, Green, Sophie, Mashinga, Hillaria, Nicholson, Andrew G., Lau, Kelvin, Sheaff, Michael, Schmid, Peter, Conibear, John, Ezhil, Veni, Ismail, Babikir, Irvin-sellers, Melanie, Prakash, Vineet, Russell, Peter, Light, Teresa, Horey, Tracey, Danson, Sarah, Bury, Jonathan, Edwards, John, Hill, Jennifer, Matthews, Sue, Kitsanta, Yota, Suvarna, Kim, Fisher, Patricia, Keerio, Allah Dino, Shackcloth, Michael, Gosney, John, Postmus, Pieter, Feeney, Sarah, and Asante-Siaw, Julius

Subjects
hemic and immune systems, chemical and pharmacologic phenomena, R1
Abstract

Summary\ud \ud CD25 is expressed at high levels on regulatory T (Treg) cells and was initially proposed as a target for cancer immunotherapy. However, anti-CD25 antibodies have displayed limited activity against established tumors. We demonstrated that CD25 expression is largely restricted to tumor-infiltrating Treg cells in mice and humans. While existing anti-CD25 antibodies were observed to deplete Treg cells in the periphery, upregulation of the inhibitory Fc gamma receptor (FcγR) IIb at the tumor site prevented intra-tumoral Treg cell depletion, which may underlie the lack of anti-tumor activity previously observed in pre-clinical models. Use of an anti-CD25 antibody with enhanced binding to activating FcγRs led to effective depletion of tumor-infiltrating Treg cells, increased effector to Treg cell ratios, and improved control of established tumors. Combination with anti-programmed cell death protein-1 antibodies promoted complete tumor rejection, demonstrating the relevance of CD25 as a therapeutic target and promising substrate for future combination approaches in immune-oncology.

Published
2017

13. Erratum: Corrigendum: Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution

Author

Abbosh, Christopher, primary, Birkbak, Nicolai J., additional, Wilson, Gareth A., additional, Jamal-Hanjani, Mariam, additional, Constantin, Tudor, additional, Salari, Raheleh, additional, Le Quesne, John, additional, Moore, David A., additional, Veeriah, Selvaraju, additional, Rosenthal, Rachel, additional, Marafioti, Teresa, additional, Kirkizlar, Eser, additional, Watkins, Thomas B. K., additional, McGranahan, Nicholas, additional, Ward, Sophia, additional, Martinson, Luke, additional, Riley, Joan, additional, Fraioli, Francesco, additional, Al Bakir, Maise, additional, Grönroos, Eva, additional, Zambrana, Francisco, additional, Endozo, Raymondo, additional, Bi, Wenya Linda, additional, Fennessy, Fiona M., additional, Sponer, Nicole, additional, Johnson, Diana, additional, Laycock, Joanne, additional, Shafi, Seema, additional, Czyzewska-Khan, Justyna, additional, Rowan, Andrew, additional, Chambers, Tim, additional, Matthews, Nik, additional, Turajlic, Samra, additional, Hiley, Crispin, additional, Lee, Siow Ming, additional, Forster, Martin D., additional, Ahmad, Tanya, additional, Falzon, Mary, additional, Borg, Elaine, additional, Lawrence, David, additional, Hayward, Martin, additional, Kolvekar, Shyam, additional, Panagiotopoulos, Nikolaos, additional, Janes, Sam M., additional, Thakrar, Ricky, additional, Ahmed, Asia, additional, Blackhall, Fiona, additional, Summers, Yvonne, additional, Hafez, Dina, additional, Naik, Ashwini, additional, Ganguly, Apratim, additional, Kareht, Stephanie, additional, Shah, Rajesh, additional, Joseph, Leena, additional, Quinn, Anne Marie, additional, Crosbie, Phil A., additional, Naidu, Babu, additional, Middleton, Gary, additional, Langman, Gerald, additional, Trotter, Simon, additional, Nicolson, Marianne, additional, Remmen, Hardy, additional, Kerr, Keith, additional, Chetty, Mahendran, additional, Gomersall, Lesley, additional, Fennell, Dean A., additional, Nakas, Apostolos, additional, Rathinam, Sridhar, additional, Anand, Girija, additional, Khan, Sajid, additional, Russell, Peter, additional, Ezhil, Veni, additional, Ismail, Babikir, additional, Irvin-Sellers, Melanie, additional, Prakash, Vineet, additional, Lester, Jason F., additional, Kornaszewska, Malgorzata, additional, Attanoos, Richard, additional, Adams, Haydn, additional, Davies, Helen, additional, Oukrif, Dahmane, additional, Akarca, Ayse U., additional, Hartley, John A., additional, Lowe, Helen L., additional, Lock, Sara, additional, Iles, Natasha, additional, Bell, Harriet, additional, Ngai, Yenting, additional, Elgar, Greg, additional, Szallasi, Zoltan, additional, Schwarz, Roland F., additional, Herrero, Javier, additional, Stewart, Aengus, additional, Quezada, Sergio A., additional, Peggs, Karl S., additional, Van Loo, Peter, additional, Dive, Caroline, additional, Lin, C. Jimmy, additional, Rabinowitz, Matthew, additional, Aerts, Hugo J. W. L., additional, Hackshaw, Allan, additional, Shaw, Jacqui A., additional, Zimmermann, Bernhard G., additional, and Swanton, Charles, additional

Published
2017
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14. Allele-Specific HLA Loss and Immune Escape in Lung Cancer Evolution

Author

McGranahan, Nicholas, primary, Rosenthal, Rachel, additional, Hiley, Crispin T., additional, Rowan, Andrew J., additional, Watkins, Thomas B.K., additional, Wilson, Gareth A., additional, Birkbak, Nicolai J., additional, Veeriah, Selvaraju, additional, Van Loo, Peter, additional, Herrero, Javier, additional, Swanton, Charles, additional, Jamal-Hanjani, Mariam, additional, Shafi, Seema, additional, Czyzewska-Khan, Justyna, additional, Johnson, Diana, additional, Laycock, Joanne, additional, Bosshard-Carter, Leticia, additional, Gorman, Pat, additional, Hynds, Robert E., additional, Wilson, Gareth, additional, McGranahan, Nicholas, additional, Horswell, Stuart, additional, Mitter, Richard, additional, Escudero, Mickael, additional, Stewart, Aengus, additional, Rowan, Andrew, additional, Xu, Hang, additional, Turajlic, Samra, additional, Hiley, Crispin, additional, Abbosh, Christopher, additional, Goldman, Jacki, additional, Stone, Richard Kevin, additional, Denner, Tamara, additional, Matthews, Nik, additional, Elgar, Greg, additional, Ward, Sophia, additional, Costa, Marta, additional, Begum, Sharmin, additional, Phillimore, Ben, additional, Chambers, Tim, additional, Nye, Emma, additional, Graca, Sofia, additional, Al Bakir, Maise, additional, Joshi, Kroopa, additional, Furness, Andrew, additional, Ben Aissa, Assma, additional, Wong, Yien Ning Sophia, additional, Georgiou, Andy, additional, Quezada, Sergio, additional, Hartley, John A., additional, Lowe, Helen L., additional, Lawrence, David, additional, Hayward, Martin, additional, Panagiotopoulos, Nikolaos, additional, Kolvekar, Shyam, additional, Falzon, Mary, additional, Borg, Elaine, additional, Marafioti, Teresa, additional, Simeon, Celia, additional, Hector, Gemma, additional, Smith, Amy, additional, Aranda, Marie, additional, Novelli, Marco, additional, Oukrif, Dahmane, additional, Janes, Sam M., additional, Thakrar, Ricky, additional, Forster, Martin, additional, Ahmad, Tanya, additional, Lee, Siow Ming, additional, Papadatos-Pastos, Dionysis, additional, Carnell, Dawn, additional, Mendes, Ruheena, additional, George, Jeremy, additional, Navani, Neal, additional, Ahmed, Asia, additional, Taylor, Magali, additional, Choudhary, Junaid, additional, Summers, Yvonne, additional, Califano, Raffaele, additional, Taylor, Paul, additional, Shah, Rajesh, additional, Krysiak, Piotr, additional, Rammohan, Kendadai, additional, Fontaine, Eustace, additional, Booton, Richard, additional, Evison, Matthew, additional, Crosbie, Phil, additional, Moss, Stuart, additional, Idries, Faiza, additional, Joseph, Leena, additional, Bishop, Paul, additional, Chaturved, Anshuman, additional, Quinn, Anne Marie, additional, Doran, Helen, additional, Leek, Angela, additional, Harrison, Phil, additional, Moore, Katrina, additional, Waddington, Rachael, additional, Novasio, Juliette, additional, Blackhall, Fiona, additional, Rogan, Jane, additional, Smith, Elaine, additional, Dive, Caroline, additional, Tugwood, Jonathan, additional, Brady, Ged, additional, Rothwell, Dominic G., additional, Chemi, Francesca, additional, Pierce, Jackie, additional, Gulati, Sakshi, additional, Naidu, Babu, additional, Langman, Gerald, additional, Trotter, Simon, additional, Bellamy, Mary, additional, Bancroft, Hollie, additional, Kerr, Amy, additional, Kadiri, Salma, additional, Webb, Joanne, additional, Middleton, Gary, additional, Djearaman, Madava, additional, Fennell, Dean, additional, Shaw, Jacqui A., additional, Le Quesne, John, additional, Moore, David, additional, Nakas, Apostolos, additional, Rathinam, Sridhar, additional, Monteiro, William, additional, Marshall, Hilary, additional, Nelson, Louise, additional, Bennett, Jonathan, additional, Riley, Joan, additional, Primrose, Lindsay, additional, Martinson, Luke, additional, Anand, Girija, additional, Khan, Sajid, additional, Amadi, Anita, additional, Nicolson, Marianne, additional, Kerr, Keith, additional, Palmer, Shirley, additional, Remmen, Hardy, additional, Miller, Joy, additional, Buchan, Keith, additional, Chetty, Mahendran, additional, Gomersall, Lesley, additional, Lester, Jason, additional, Edwards, Alison, additional, Morgan, Fiona, additional, Adams, Haydn, additional, Davies, Helen, additional, Kornaszewska, Malgorzata, additional, Attanoos, Richard, additional, Lock, Sara, additional, Verjee, Azmina, additional, MacKenzie, Mairead, additional, Wilcox, Maggie, additional, Bell, Harriet, additional, Hackshaw, Allan, additional, Ngai, Yenting, additional, Smith, Sean, additional, Gower, Nicole, additional, Ottensmeier, Christian, additional, Chee, Serena, additional, Johnson, Benjamin, additional, Alzetani, Aiman, additional, Shaw, Emily, additional, Lim, Eric, additional, De Sousa, Paulo, additional, Barbosa, Monica Tavares, additional, Bowman, Alex, additional, Jordan, Simon, additional, Rice, Alexandra, additional, Raubenheimer, Hilgardt, additional, Proli, Chiara, additional, Cufari, Maria Elena, additional, Ronquillo, John Carlo, additional, Kwayie, Angela, additional, Bhayani, Harshil, additional, Hamilton, Morag, additional, Bakar, Yusura, additional, Mensah, Natalie, additional, Ambrose, Lyn, additional, Devaraj, Anand, additional, Buderi, Silviu, additional, Finch, Jonathan, additional, Azcarate, Leire, additional, Chavan, Hema, additional, Green, Sophie, additional, Mashinga, Hillaria, additional, Nicholson, Andrew G., additional, Lau, Kelvin, additional, Sheaff, Michael, additional, Schmid, Peter, additional, Conibear, John, additional, Ezhil, Veni, additional, Ismail, Babikir, additional, Irvin-sellers, Melanie, additional, Prakash, Vineet, additional, Russell, Peter, additional, Light, Teresa, additional, Horey, Tracey, additional, Danson, Sarah, additional, Bury, Jonathan, additional, Edwards, John, additional, Hill, Jennifer, additional, Matthews, Sue, additional, Kitsanta, Yota, additional, Suvarna, Kim, additional, Fisher, Patricia, additional, Keerio, Allah Dino, additional, Shackcloth, Michael, additional, Gosney, John, additional, Postmus, Pieter, additional, Feeney, Sarah, additional, Asante-Siaw, Julius, additional, Aerts, Hugo J.W.L., additional, Dentro, Stefan, additional, and Dessimoz, Christophe, additional

Published
2017
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16. The smoking-dyslipidaemia dyad: A potent synergistic risk for atherosclerotic coronary artery disease.

Author

Prakash, Vineet, Jaker, Sams, Burgan, Amjad, Jacques, Adam, Fluck, David, Sharma, Pankaj, Fry, Christopher H, and Han, Thang S

Subjects
CORONARY disease, CORONARY arteries, HEART diseases, DYSLIPIDEMIA, DYADS
Abstract

Background: Smoking and dyslipidaemia are known individual risk factors of coronary artery disease (CAD). The present study examined the combined risk of smoking and dyslipidaemia on coronary atherosclerosis. Methods: Coronary artery calcium (CAC), measured by cardiac CT, was used to assess the extent of CAD, which was related to smoking and dyslipidaemia using logistic regression, adjusted for age, sex, hypertension, BMI and family history of ischaemic heart disease. Results: Seventy-one patients (46 men, 25 women: median age of 53.7yrs; IQR = 47.0–59.5) were recruited. The mean log10 CAC score in never-smokers without dyslipidaemia (reference group) was 0.37 (SD = 0.73), while the value in those with a history of smoking was 0.44 ± 0.48 (mean difference: 0.07, 95%CI:–0.67 to 0.81, p = 0.844), dyslipidaemia was 1.07 ± 1.08 (mean difference: 0.71, 95%CI: 0.24 to 1.17, p = 0.003), and both risk factors was 1.82 ± 0.64 (mean difference: 1.45, 95%CI:0.88 to 2.02, p < 0.001). For individuals in the reference group, the proportions with none, one and multiple vessel disease were 80.6%, 16.1% and 3.2%; for those with a history of smoking or with dyslipidaemia were 50.0%, 25.0% and 25.0%; and for those with both risk factors were 8.3%, 25.0% and 66.7%. Patients with a history of both risk factors had greater adjusted risks of having one- vessel disease - OR = 14.3 (95%CI = 2.1–98.2) or multiple vessel disease: OR = 51.8 (95%CI = 4.2–609.6). Conclusions: Smoking and dyslipidaemia together are associated with high coronary artery calcification and CAD, independent of other major risk factors. [ABSTRACT FROM AUTHOR]

Published
2020
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21. Can deep learning detect esophageal lesions in PET-CT scans?

Author

Ackerley, Ian, Smith, Rhodri, Scuffham, James, Halling-Brown, Mark, Lewis, Emma, Spezi, Emilio, Prakash, Vineet, Wells, Kevin, Ackerley, Ian, Smith, Rhodri, Scuffham, James, Halling-Brown, Mark, Lewis, Emma, Spezi, Emilio, Prakash, Vineet, and Wells, Kevin

Abstract

PET-CT scans using 18 F-FDG with a co-registered CT scan are increasingly used to detect cancer. This paper compares deep learning-based lesion detection tools trained on PET, CT and combined modality data. 486 pre-contoured scans were used from a retrospective cohort study into esophageal cancer. Scans were partitioned into training, validation and test sets with an 80:10:10 ratio. 1000 image segments were generated from each scan, with tumor present segments located on the contoured lesion and tumor absent segments distributed randomly within the patient but excluding the tumor. PET and CT image segments were used to train a separate dedicated 5-layer convolutional neural networks (CNN). Testing on segments from unseen scans resulted in an accuracy of greater than 95% for the PET data, and greater than 90% for CT data.

22. Using deep learning to detect esophageal lesions in PET-CT scans

Author

Gimi, B., Krol, A., Ackerley, Ian, Smith, Rhodri L., Scuffham, James W., Halling-Brown, Mark D., Lewis, Emma, Spezi, Emiliano, Prakash, Vineet, Wells, Kevin, Gimi, B., Krol, A., Ackerley, Ian, Smith, Rhodri L., Scuffham, James W., Halling-Brown, Mark D., Lewis, Emma, Spezi, Emiliano, Prakash, Vineet, and Wells, Kevin

Abstract

PET-CT scans using 18F-FDG are increasingly used to detect cancer, but interpretation can be challenging due to non-specific uptake and complex anatomical structures nearby. To aide this process, we investigate the potential of automated detection of lesions in 18F-FDG scans using deep learning tools. A 5-layer convolutional neural network (CNN) with 2x2 kernels, rectified linear unit (ReLU) activations and two dense layers was trained to detect cancerous lesions in 2D axial image segments from PET scans. Pre-contoured scans from a retrospective cohort study of 480 oesophageal cancer patients were split 80:10:10 into training, validation and test sets. These were then used to generate a total of ~14000 45×45 pixel image segments, where tumor present segments were centered on the marked lesion, and tumor absent segments were randomly located outside the marked lesion. ROC curves generated from the training and validation datasets produced an average AUC of ~<95%.

23. Reproducibility in Radiomics: A Comparison of Feature Extraction Methods and Two Independent Datasets.

Author

Thomas HMT, Wang HYC, Varghese AJ, Donovan EM, South CP, Saxby H, Nisbet A, Prakash V, Sasidharan BK, Pavamani SP, Devadhas D, Mathew M, Isiah RG, and Evans PM

Abstract

Radiomics involves the extraction of information from medical images that are not visible to the human eye. There is evidence that these features can be used for treatment stratification and outcome prediction. However, there is much discussion about the reproducibility of results between different studies. This paper studies the reproducibility of CT texture features used in radiomics, comparing two feature extraction implementations, namely the MATLAB toolkit and Pyradiomics, when applied to independent datasets of CT scans of patients: (i) the open access RIDER dataset containing a set of repeat CT scans taken 15 min apart for 31 patients (RIDER Scan 1 and Scan 2, respectively) treated for lung cancer; and (ii) the open access HN1 dataset containing 137 patients treated for head and neck cancer. Gross tumor volume (GTV), manually outlined by an experienced observer available on both datasets, was used. The 43 common radiomics features available in MATLAB and Pyradiomics were calculated using two intensity-level quantization methods with and without an intensity threshold. Cases were ranked for each feature for all combinations of quantization parameters, and the Spearman's rank coefficient, rs , calculated. Reproducibility was defined when a highly correlated feature in the RIDER dataset also correlated highly in the HN1 dataset, and vice versa. A total of 29 out of the 43 reported stable features were found to be highly reproducible between MATLAB and Pyradiomics implementations, having a consistently high correlation in rank ordering for RIDER Scan 1 and RIDER Scan 2 ( rs > 0.8). 18/43 reported features were common in the RIDER and HN1 datasets, suggesting they may be agnostic to disease site. Useful radiomics features should be selected based on reproducibility. This study identified a set of features that meet this requirement and validated the methodology for evaluating reproducibility between datasets., Competing Interests: Conflicts of Interest: The authors have no relevant conflicts of interest to disclose.

Published
2024
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24. A case of aortitis during cisplatin-based chemotherapy for cervical cancer.

Author

Webb K, Prakash V, Kirresh O, and Stewart A

Abstract

A case of aortitis in a patient undergoing adjuvant cisplatin and topotecan chemotherapy for cervical cancer following presentation with pyrexia of unknown origin and raised inflammatory markers is presented. Although many chemotherapy agents are known to cause small vessel vasculitis and there are several reported cases of large vessel vasculitis following gemcitabine chemotherapy, there is only one previously described case of aortitis following cisplatin administration. This case is presented with corresponding CT and 18 F-FDG PET-CT imaging with discussion of the literature regarding vasculitis and chemotherapy.

Published
2018
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25. Combined 18F-fluoride and 18F-FDG PET/CT scanning for evaluation of malignancy: results of an international multicenter trial.

Author

Iagaru A, Mittra E, Mosci C, Dick DW, Sathekge M, Prakash V, Iyer V, Lapa P, Isidoro J, de Lima JM, and Gambhir SS

Subjects
Adult, Aged, Aged, 80 and over, Bone Neoplasms diagnosis, Bone Neoplasms diagnostic imaging, Bone and Bones metabolism, Female, Fluorine Radioisotopes, Glucose metabolism, Humans, Image Processing, Computer-Assisted methods, International Cooperation, Male, Medical Oncology methods, Middle Aged, Neoplasm Metastasis, Nuclear Medicine methods, Pilot Projects, Prospective Studies, Reproducibility of Results, Fluorodeoxyglucose F18, Neoplasms diagnosis, Neoplasms diagnostic imaging, Positron-Emission Tomography methods, Tomography, X-Ray Computed methods
Abstract

Unlabelled: (18)F-FDG PET/CT is used in a variety of cancers, but because of variable rates of glucose metabolism, not all cancers are reliably identified. (18)F(-) PET/CT allows for the acquisition of highly sensitive and specific images of the skeleton. We prospectively evaluated combined (18)F(-)/(18)F-FDG as a single PET/CT examination for evaluation of cancer patients and compared it with separate (18)F(-) PET/CT and (18)F-FDG PET/CT scans., Methods: One hundred fifteen participants with cancer were prospectively enrolled in an international multicenter trial evaluating (18)F(-) PET/CT, (18)F-FDG PET/CT, and combined (18)F(-)/(18)F-FDG PET/CT. The 3 PET/CT scans were performed sequentially within 4 wk of one another for each patient., Results: (18)F(-)/(18)F-FDG PET/CT allowed for accurate interpretation of radiotracer uptake outside the skeleton, with findings similar to those of (18)F-FDG PET/CT. In 19 participants, skeletal disease was more extensive on (18)F(-) PET/CT and (18)F(-)/(18)F-FDG PET/CT than on (18)F-FDG PET/CT. In another 29 participants, (18)F(-) PET/CT and (18)F(-)/(18)F-FDG PET/CT showed osseous metastases where (18)F-FDG PET/CT was negative. The extent of skeletal lesions was similar in 18 participants on all 3 scans., Conclusion: This trial demonstrated that combined (18)F(-)/(18)F-FDG PET/CT shows promising results when compared with separate (18)F(-) PET/CT and (18)F-FDG PET/CT for evaluation of cancer patients. This result opens the possibility for improved patient care and reduction in health-care costs, as will be further evaluated in future trials.

Published
2013
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