100 results on '"Shum B"'
Search Results
2. Antibodies against endogenous retroviruses promote lung cancer immunotherapy
- Author
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Ng, K, Boumelha, J, Enfield, K, Almagro, J, Cha, H, Pich, O, Karasaki, T, Moore, D, Salgado, R, Sivakumar, M, Young, G, Molina-Arcas, M, de Carne Trecesson, S, Anastasiou, P, Fendler, A, Au, L, Shepherd, S, Martinez-Ruiz, C, Puttick, C, Black, J, Watkins, T, Kim, H, Shim, S, Faulkner, N, Attig, J, Veeriah, S, Magno, N, Ward, S, Frankell, A, Al Bakir, M, Lim, E, Hill, M, Wilson, G, Cook, D, Birkbak, N, Behrens, A, Yousaf, N, Popat, S, Hackshaw, A, Rowan, A, Huebner, A, Campbell, B, Bailey, C, Lee, C, Biswas, D, Colliver, E, Athanasopoulou, F, Zhai, H, Rane, J, Grigoriadis, K, Dietzen, M, Leung, M, Angelova, M, Lucas, O, Al-Sawaf, O, Rosenthal, R, Nicod, J, Bunkum, A, Toncheva, A, Abbosh, C, Richard, C, Naceur-Lombardelli, C, Gimeno-Valiente, F, Lam, J, Thol, K, Thakkar, K, Werner Sunderland, M, Forster, M, Kanu, N, Prymas, P, Bentham, R, Saghafinia, S, Quezada, S, Vanloo, S, Zaccaria, S, Lee, S, Hessey, S, Liu, W, Papadatos-Pastos, D, Wilson, J, Benafif, S, Ahmad, T, Borg, E, Falzon, M, Khiroya, R, Marafioti, T, Sharp, A, Pilotti, C, Dhanda, H, Chan, K, Gower, N, Leslie, R, Smith, S, Nicholson, A, Herrero, J, Castignani, C, Larose Cadieux, E, Demeulemeester, J, Van Loo, P, Peggs, K, Veiga, C, Royle, G, Collins-Fekete, C, Procter, A, Nair, A, Ahmed, A, Taylor, M, Navani, N, Thakrar, R, Lawrence, D, Patrini, D, Nye, E, Stone, R, Chuter, D, Mackenzie, M, Fraioli, F, Ashford, P, Janes, S, Tanic, M, Beck, S, Rice, A, Devaraj, A, Proli, C, Kaniu, D, Bhayani, H, Chavan, H, Raubenheimer, H, Ambrose, L, Malima, M, Fernandes, N, De Sousa, P, Shah, P, Booth, S, Buderi, S, Jordan, S, Begum, S, Boleti, E, Stewart, A, Magness, A, Weeden, C, Levi, D, Gronroos, E, Goldman, J, Escudero, M, Hobson, P, Vendramin, R, Boeing, S, Denner, T, Barbe, V, Lu, W, Hill, W, Naito, Y, Ramsden, Z, Grapa, A, Zhang, H, Abduljabbar, K, Pan, X, Gilbert, K, Karamani, A, Chain, B, Pearce, D, Karagianni, D, Hoxha, E, Galvez-Cancino, F, Stavrou, G, Mastrokalos, G, Lowe, H, Matos, I, Reading, J, Hartley, J, Selvaraju, K, Chen, K, Ensell, L, Shah, M, Vasquez, M, Litovchenko, M, Chervova, O, Pawlik, P, Hynds, R, Lopez, S, Gamble, S, Ung, S, Bola, S, Mourikis, T, Spanswick, V, Wu, Y, Martinoni Hoogenboom, E, Monk, F, Holding, J, Choudhary, J, Bhakhri, K, Scarci, M, Hayward, M, Panagiotopoulos, N, Gorman, P, Stephens, R, Bandula, S, Wong, Y, Clark, T, Cheyne, H, Khalil, M, Richardson, S, Cruickshank, T, Naidu, B, Matharu, G, Shaw, J, Riley, J, Primrose, L, Le Quesne, J, Blyth, K, Kerr, A, Clipson, A, Chaturvedi, A, Dive, C, Rothwell, D, Kilgour, E, Tugwood, J, Priest, L, Oliveira, P, Crosbie, P, Price, G, Cave, J, Kerr, K, Lindsay, C, Blackhall, F, Krebs, M, Summers, Y, Kirk, A, Thomas, M, Asif, M, Kostoulas, N, Bilancia, R, Middleton, G, Shackcloth, M, Leek, A, Hodgkinson, J, Totten, N, Dick, C, Robinson, L, Russell, P, Hewish, M, Danson, S, Lester, J, Gomes, F, Brown, K, Carter, M, Patel, A, Osman, A, Lacson, C, Langman, G, Shackleford, H, Djearaman, M, Kadiri, S, Alzetani, A, Richards, J, Scarlett, L, Ingram, P, Chee, S, Austin, S, Bajaj, A, Nakas, A, Sodha-Ramdeen, A, Fennell, D, Ang, K, Tufail, M, Chowdhry, M, Scotland, M, Boyles, R, Rathinam, S, Wilson, C, Marrone, D, Dulloo, S, Montero, A, Smith, E, Fontaine, E, Granato, F, Doran, H, Novasio, J, Rammohan, K, Joseph, L, Bishop, P, Shah, R, Moss, S, Joshi, V, Aerts, H, Kaufmann, T, Schwarz, R, Kisistok, J, Sokac, M, Diossy, M, Szallasi, Z, Dijkstra, K, Yuan, Y, Byrne, F, Boos, L, Shum, B, Gerard, C, Schmitt, A, Messiou, C, Cunningham, D, Chau, I, Starling, N, Turner, N, Welsh, L, Jones, R, Droney, J, Banerjee, S, Tatham, K, Jhanji, S, Harrington, K, Okines, A, Reid, A, Young, K, Furness, A, Pickering, L, Nicholson, E, Kumar, S, Wilkinson, K, Swerdlow, A, Wilkinson, R, Hiley, C, Litchfield, K, Mcgranahan, N, Jamal-Hanjani, M, Larkin, J, Turajlic, S, Swanton, C, Downward, J, Kassiotis, G, Ng K. W., Boumelha J., Enfield K. S. S., Almagro J., Cha H., Pich O., Karasaki T., Moore D. A., Salgado R., Sivakumar M., Young G., Molina-Arcas M., de Carne Trecesson S., Anastasiou P., Fendler A., Au L., Shepherd S. T. C., Martinez-Ruiz C., Puttick C., Black J. R. M., Watkins T. B. K., Kim H., Shim S., Faulkner N., Attig J., Veeriah S., Magno N., Ward S., Frankell A. M., Al Bakir M., Lim E. L., Hill M. S., Wilson G. A., Cook D. E., Birkbak N. J., Behrens A., Yousaf N., Popat S., Hackshaw A., Rowan A., Huebner A., Campbell B. B., Bailey C., Lee C., Biswas D., Colliver E., Athanasopoulou F., Zhai H., Rane J. K., Grigoriadis K., Dietzen M., Leung M., Angelova M., Lucas O., Al-Sawaf O., Rosenthal R., Nicod J., Bunkum A., Toncheva A., Abbosh C., Richard C., Naceur-Lombardelli C., Gimeno-Valiente F., Lam J. M., Thol K., Thakkar K., Werner Sunderland M., Forster M. D., Kanu N., Prymas P., Bentham R., Saghafinia S., Quezada S. A., Vanloo S., Zaccaria S., Lee S. M., Hessey S., Liu W. K., Papadatos-Pastos D., Wilson J., Benafif S., Ahmad T., Borg E., Falzon M., Khiroya R., Marafioti T., Sharp A., Pilotti C., Dhanda H. K., Chan K., Gower N., Leslie R., Smith S., Nicholson A. G., Lim E., Herrero J., Castignani C., Larose Cadieux E., Demeulemeester J., Van Loo P., Peggs K. S., Veiga C., Royle G., Collins-Fekete C. -A., Procter A. J., Nair A., Ahmed A., Taylor M. N., Navani N., Thakrar R. M., Lawrence D., Patrini D., Nye E., Stone R. K., Chuter D., MacKenzie M., Fraioli F., Ashford P., Janes S. M., Tanic M., Beck S., Rice A., Devaraj A., Proli C., Kaniu D., Bhayani H., Chavan H., Raubenheimer H., Ambrose L., Malima M., Fernandes N., De Sousa P., Shah P., Booth S., Buderi S. I., Jordan S., Begum S., Boleti E., Stewart A., Magness A., Weeden C. E., Levi D., Gronroos E., Goldman J., Escudero M., Hobson P., Vendramin R., Boeing S., Denner T., Barbe V., Lu W. -T., Hill W., Naito Y., Ramsden Z., Grapa A., Zhang H., AbdulJabbar K., Pan X., Gilbert K., Karamani A., Chain B., Pearce D. R., Karagianni D., Hoxha E., Galvez-Cancino F., Stavrou G., Mastrokalos G., Lowe H. L., Matos I., Reading J. L., Hartley J. A., Selvaraju K., Chen K., Ensell L., Shah M., Vasquez M., Litovchenko M., Chervova O., Pawlik P., Hynds R. E., Lopez S., Gamble S., Ung S. K. A., Bola S. K., Mourikis T. P., Spanswick V., Wu Y., Martinoni Hoogenboom E., Monk F., Holding J. W., Choudhary J., Bhakhri K., Scarci M., Hayward M., Panagiotopoulos N., Gorman P., Stephens R. C. M., Bandula S., Wong Y. N. S., Clark T., Cheyne H., Khalil M., Richardson S., Cruickshank T., Naidu B., Matharu G., Shaw J. A., Riley J., Primrose L., Le Quesne J., Blyth K. G., Kerr A., Clipson A., Chaturvedi A., Dive C., Rothwell D. G., Kilgour E., Tugwood J., Priest L., Oliveira P., Crosbie P., Price G., Cave J., Kerr K. M., Lindsay C. R., Blackhall F. H., Krebs M. G., Summers Y., Kirk A., Thomas M., Asif M., Kostoulas N., Bilancia R., Middleton G., Shackcloth M. J., Leek A., Hodgkinson J. D., Totten N., Dick C., Robinson L., Russell P., Hewish M., Danson S., Lester J. F., Gomes F., Brown K., Carter M., Patel A. J., Osman A., Lacson C., Langman G., Shackleford H., Djearaman M., Kadiri S., Alzetani A., Richards J., Scarlett L., Ingram P., Chee S., Austin S., Bajaj A., Nakas A., Sodha-Ramdeen A., Fennell D. A., Ang K., Tufail M., Chowdhry M. F., Scotland M., Boyles R., Rathinam S., Wilson C., Marrone D., Dulloo S., Montero A., Smith E., Fontaine E., Granato F., Doran H., Novasio J., Rammohan K., Joseph L., Bishop P., Shah R., Moss S., Joshi V., Aerts H. J. W. L., Kaufmann T. L., Schwarz R. F., Kisistok J., Sokac M., Diossy M., Szallasi Z., Dijkstra K., Yuan Y., Byrne F., Boos L. A., Shum B., Gerard C. L., Schmitt A. M., Messiou C., Cunningham D., Chau I., Starling N., Turner N., Welsh L., Jones R. L., Droney J., Banerjee S., Tatham K. C., Jhanji S., Harrington K., Okines A., Reid A., Young K., Furness A. J. S., Pickering L., Nicholson E., Kumar S., Wilkinson K. A., Swerdlow A., Wilkinson R. J., Hiley C. T., Litchfield K., McGranahan N., Jamal-Hanjani M., Larkin J., Lee S. -H., Turajlic S., Swanton C., Downward J., Kassiotis G., Ng, K, Boumelha, J, Enfield, K, Almagro, J, Cha, H, Pich, O, Karasaki, T, Moore, D, Salgado, R, Sivakumar, M, Young, G, Molina-Arcas, M, de Carne Trecesson, S, Anastasiou, P, Fendler, A, Au, L, Shepherd, S, Martinez-Ruiz, C, Puttick, C, Black, J, Watkins, T, Kim, H, Shim, S, Faulkner, N, Attig, J, Veeriah, S, Magno, N, Ward, S, Frankell, A, Al Bakir, M, Lim, E, Hill, M, Wilson, G, Cook, D, Birkbak, N, Behrens, A, Yousaf, N, Popat, S, Hackshaw, A, Rowan, A, Huebner, A, Campbell, B, Bailey, C, Lee, C, Biswas, D, Colliver, E, Athanasopoulou, F, Zhai, H, Rane, J, Grigoriadis, K, Dietzen, M, Leung, M, Angelova, M, Lucas, O, Al-Sawaf, O, Rosenthal, R, Nicod, J, Bunkum, A, Toncheva, A, Abbosh, C, Richard, C, Naceur-Lombardelli, C, Gimeno-Valiente, F, Lam, J, Thol, K, Thakkar, K, Werner Sunderland, M, Forster, M, Kanu, N, Prymas, P, Bentham, R, Saghafinia, S, Quezada, S, Vanloo, S, Zaccaria, S, Lee, S, Hessey, S, Liu, W, Papadatos-Pastos, D, Wilson, J, Benafif, S, Ahmad, T, Borg, E, Falzon, M, Khiroya, R, Marafioti, T, Sharp, A, Pilotti, C, Dhanda, H, Chan, K, Gower, N, Leslie, R, Smith, S, Nicholson, A, Herrero, J, Castignani, C, Larose Cadieux, E, Demeulemeester, J, Van Loo, P, Peggs, K, Veiga, C, Royle, G, Collins-Fekete, C, Procter, A, Nair, A, Ahmed, A, Taylor, M, Navani, N, Thakrar, R, Lawrence, D, Patrini, D, Nye, E, Stone, R, Chuter, D, Mackenzie, M, Fraioli, F, Ashford, P, Janes, S, Tanic, M, Beck, S, Rice, A, Devaraj, A, Proli, C, Kaniu, D, Bhayani, H, Chavan, H, Raubenheimer, H, Ambrose, L, Malima, M, Fernandes, N, De Sousa, P, Shah, P, Booth, S, Buderi, S, Jordan, S, Begum, S, Boleti, E, Stewart, A, Magness, A, Weeden, C, Levi, D, Gronroos, E, Goldman, J, Escudero, M, Hobson, P, Vendramin, R, Boeing, S, Denner, T, Barbe, V, Lu, W, Hill, W, Naito, Y, Ramsden, Z, Grapa, A, Zhang, H, Abduljabbar, K, Pan, X, Gilbert, K, Karamani, A, Chain, B, Pearce, D, Karagianni, D, Hoxha, E, Galvez-Cancino, F, Stavrou, G, Mastrokalos, G, Lowe, H, Matos, I, Reading, J, Hartley, J, Selvaraju, K, Chen, K, Ensell, L, Shah, M, Vasquez, M, Litovchenko, M, Chervova, O, Pawlik, P, Hynds, R, Lopez, S, Gamble, S, Ung, S, Bola, S, Mourikis, T, Spanswick, V, Wu, Y, Martinoni Hoogenboom, E, Monk, F, Holding, J, Choudhary, J, Bhakhri, K, Scarci, M, Hayward, M, Panagiotopoulos, N, Gorman, P, Stephens, R, Bandula, S, Wong, Y, Clark, T, Cheyne, H, Khalil, M, Richardson, S, Cruickshank, T, Naidu, B, Matharu, G, Shaw, J, Riley, J, Primrose, L, Le Quesne, J, Blyth, K, Kerr, A, Clipson, A, Chaturvedi, A, Dive, C, Rothwell, D, Kilgour, E, Tugwood, J, Priest, L, Oliveira, P, Crosbie, P, Price, G, Cave, J, Kerr, K, Lindsay, C, Blackhall, F, Krebs, M, Summers, Y, Kirk, A, Thomas, M, Asif, M, Kostoulas, N, Bilancia, R, Middleton, G, Shackcloth, M, Leek, A, Hodgkinson, J, Totten, N, Dick, C, Robinson, L, Russell, P, Hewish, M, Danson, S, Lester, J, Gomes, F, Brown, K, Carter, M, Patel, A, Osman, A, Lacson, C, Langman, G, Shackleford, H, Djearaman, M, Kadiri, S, Alzetani, A, Richards, J, Scarlett, L, Ingram, P, Chee, S, Austin, S, Bajaj, A, Nakas, A, Sodha-Ramdeen, A, Fennell, D, Ang, K, Tufail, M, Chowdhry, M, Scotland, M, Boyles, R, Rathinam, S, Wilson, C, Marrone, D, Dulloo, S, Montero, A, Smith, E, Fontaine, E, Granato, F, Doran, H, Novasio, J, Rammohan, K, Joseph, L, Bishop, P, Shah, R, Moss, S, Joshi, V, Aerts, H, Kaufmann, T, Schwarz, R, Kisistok, J, Sokac, M, Diossy, M, Szallasi, Z, Dijkstra, K, Yuan, Y, Byrne, F, Boos, L, Shum, B, Gerard, C, Schmitt, A, Messiou, C, Cunningham, D, Chau, I, Starling, N, Turner, N, Welsh, L, Jones, R, Droney, J, Banerjee, S, Tatham, K, Jhanji, S, Harrington, K, Okines, A, Reid, A, Young, K, Furness, A, Pickering, L, Nicholson, E, Kumar, S, Wilkinson, K, Swerdlow, A, Wilkinson, R, Hiley, C, Litchfield, K, Mcgranahan, N, Jamal-Hanjani, M, Larkin, J, Turajlic, S, Swanton, C, Downward, J, Kassiotis, G, Ng K. W., Boumelha J., Enfield K. S. S., Almagro J., Cha H., Pich O., Karasaki T., Moore D. A., Salgado R., Sivakumar M., Young G., Molina-Arcas M., de Carne Trecesson S., Anastasiou P., Fendler A., Au L., Shepherd S. T. C., Martinez-Ruiz C., Puttick C., Black J. R. M., Watkins T. B. K., Kim H., Shim S., Faulkner N., Attig J., Veeriah S., Magno N., Ward S., Frankell A. M., Al Bakir M., Lim E. L., Hill M. S., Wilson G. A., Cook D. E., Birkbak N. J., Behrens A., Yousaf N., Popat S., Hackshaw A., Rowan A., Huebner A., Campbell B. B., Bailey C., Lee C., Biswas D., Colliver E., Athanasopoulou F., Zhai H., Rane J. K., Grigoriadis K., Dietzen M., Leung M., Angelova M., Lucas O., Al-Sawaf O., Rosenthal R., Nicod J., Bunkum A., Toncheva A., Abbosh C., Richard C., Naceur-Lombardelli C., Gimeno-Valiente F., Lam J. M., Thol K., Thakkar K., Werner Sunderland M., Forster M. D., Kanu N., Prymas P., Bentham R., Saghafinia S., Quezada S. A., Vanloo S., Zaccaria S., Lee S. M., Hessey S., Liu W. K., Papadatos-Pastos D., Wilson J., Benafif S., Ahmad T., Borg E., Falzon M., Khiroya R., Marafioti T., Sharp A., Pilotti C., Dhanda H. K., Chan K., Gower N., Leslie R., Smith S., Nicholson A. G., Lim E., Herrero J., Castignani C., Larose Cadieux E., Demeulemeester J., Van Loo P., Peggs K. S., Veiga C., Royle G., Collins-Fekete C. -A., Procter A. J., Nair A., Ahmed A., Taylor M. N., Navani N., Thakrar R. M., Lawrence D., Patrini D., Nye E., Stone R. K., Chuter D., MacKenzie M., Fraioli F., Ashford P., Janes S. M., Tanic M., Beck S., Rice A., Devaraj A., Proli C., Kaniu D., Bhayani H., Chavan H., Raubenheimer H., Ambrose L., Malima M., Fernandes N., De Sousa P., Shah P., Booth S., Buderi S. I., Jordan S., Begum S., Boleti E., Stewart A., Magness A., Weeden C. E., Levi D., Gronroos E., Goldman J., Escudero M., Hobson P., Vendramin R., Boeing S., Denner T., Barbe V., Lu W. -T., Hill W., Naito Y., Ramsden Z., Grapa A., Zhang H., AbdulJabbar K., Pan X., Gilbert K., Karamani A., Chain B., Pearce D. R., Karagianni D., Hoxha E., Galvez-Cancino F., Stavrou G., Mastrokalos G., Lowe H. L., Matos I., Reading J. L., Hartley J. A., Selvaraju K., Chen K., Ensell L., Shah M., Vasquez M., Litovchenko M., Chervova O., Pawlik P., Hynds R. E., Lopez S., Gamble S., Ung S. K. A., Bola S. K., Mourikis T. P., Spanswick V., Wu Y., Martinoni Hoogenboom E., Monk F., Holding J. W., Choudhary J., Bhakhri K., Scarci M., Hayward M., Panagiotopoulos N., Gorman P., Stephens R. C. M., Bandula S., Wong Y. N. S., Clark T., Cheyne H., Khalil M., Richardson S., Cruickshank T., Naidu B., Matharu G., Shaw J. A., Riley J., Primrose L., Le Quesne J., Blyth K. G., Kerr A., Clipson A., Chaturvedi A., Dive C., Rothwell D. G., Kilgour E., Tugwood J., Priest L., Oliveira P., Crosbie P., Price G., Cave J., Kerr K. M., Lindsay C. R., Blackhall F. H., Krebs M. G., Summers Y., Kirk A., Thomas M., Asif M., Kostoulas N., Bilancia R., Middleton G., Shackcloth M. J., Leek A., Hodgkinson J. D., Totten N., Dick C., Robinson L., Russell P., Hewish M., Danson S., Lester J. F., Gomes F., Brown K., Carter M., Patel A. J., Osman A., Lacson C., Langman G., Shackleford H., Djearaman M., Kadiri S., Alzetani A., Richards J., Scarlett L., Ingram P., Chee S., Austin S., Bajaj A., Nakas A., Sodha-Ramdeen A., Fennell D. A., Ang K., Tufail M., Chowdhry M. F., Scotland M., Boyles R., Rathinam S., Wilson C., Marrone D., Dulloo S., Montero A., Smith E., Fontaine E., Granato F., Doran H., Novasio J., Rammohan K., Joseph L., Bishop P., Shah R., Moss S., Joshi V., Aerts H. J. W. L., Kaufmann T. L., Schwarz R. F., Kisistok J., Sokac M., Diossy M., Szallasi Z., Dijkstra K., Yuan Y., Byrne F., Boos L. A., Shum B., Gerard C. L., Schmitt A. M., Messiou C., Cunningham D., Chau I., Starling N., Turner N., Welsh L., Jones R. L., Droney J., Banerjee S., Tatham K. C., Jhanji S., Harrington K., Okines A., Reid A., Young K., Furness A. J. S., Pickering L., Nicholson E., Kumar S., Wilkinson K. A., Swerdlow A., Wilkinson R. J., Hiley C. T., Litchfield K., McGranahan N., Jamal-Hanjani M., Larkin J., Lee S. -H., Turajlic S., Swanton C., Downward J., and Kassiotis G.
- Abstract
B cells are frequently found in the margins of solid tumours as organized follicles in ectopic lymphoid organs called tertiary lymphoid structures (TLS)1,2. Although TLS have been found to correlate with improved patient survival and response to immune checkpoint blockade (ICB), the underlying mechanisms of this association remain elusive1,2. Here we investigate lung-resident B cell responses in patients from the TRACERx 421 (Tracking Non-Small-Cell Lung Cancer Evolution Through Therapy) and other lung cancer cohorts, and in a recently established immunogenic mouse model for lung adenocarcinoma3. We find that both human and mouse lung adenocarcinomas elicit local germinal centre responses and tumour-binding antibodies, and further identify endogenous retrovirus (ERV) envelope glycoproteins as a dominant anti-tumour antibody target. ERV-targeting B cell responses are amplified by ICB in both humans and mice, and by targeted inhibition of KRAS(G12C) in the mouse model. ERV-reactive antibodies exert anti-tumour activity that extends survival in the mouse model, and ERV expression predicts the outcome of ICB in human lung adenocarcinoma. Finally, we find that effective immunotherapy in the mouse model requires CXCL13-dependent TLS formation. Conversely, therapeutic CXCL13 treatment potentiates anti-tumour immunity and synergizes with ICB. Our findings provide a possible mechanistic basis for the association of TLS with immunotherapy response.
- Published
- 2023
3. Copy number architectures define treatment-mediated selection of lethal prostate cancer clones
- Author
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Hasan, A, Cremaschi, P, Wetterskog, D, Jayaram, A, Wong, S, Williams, S, Pasam, A, Trigos, A, Trujillo, B, Grist, E, Friedrich, S, Vainauskas, O, Parry, M, Ismail, M, Devlies, W, Wingate, A, Linch, M, Naceur-Lombardelli, C, Zaccaria, S, Hessey, S, Shiu, K, Bridgewater, J, Hochhauser, D, Forster, M, Lee, S, Ahmad, T, Papadatos-Pastos, D, Janes, S, Van Loo, P, Enfield, K, Mcgranahan, N, Huebner, A, Quezada, S, Beck, S, Parker, P, Enver, T, Hynds, R, Pearce, D, Falzon, M, Proctor, I, Sinclair, R, Lok, C, Rhodes, Z, Moore, D, Marafioti, T, Mitchison, M, Ellery, P, Sivakumar, M, Brandner, S, Rowan, A, Hiley, C, Veeriah, S, Shaw, H, Toncheva, A, Prymas, P, Watkins, T, Bailey, C, Martinez Ruiz, C, Litchfield, K, Al-Bakir, M, Kanu, N, Ward, S, Lim, E, Reading, J, Chain, B, Akay, M, Flanagan, A, Biswas, D, Pich, O, Dietzen, M, Puttick, C, Colliver, E, Magness, A, Angelova, M, Black, J, Lucas, O, Hill, W, Liu, W, Frankell, A, Magno, N, Athanasopoulou, F, Salgado, R, Lee, C, Grigoriadis, K, Al-Sawaf, O, Karasaki, T, Bunkum, A, Noorani, I, Benafif, S, Barbe, V, Bola, S, Leone, G, Alifrangis, C, Mcgovern, U, Thol, K, Gamble, S, Ung, S, Sahwangarrom, T, Marin, C, Pawlik, P, Lam, J, Richard, C, Vendramin, R, Dijkstra, K, Rane, J, Nicod, J, Dwornik, A, Bowles, K, Zaidi, R, Gishen, F, Stone, P, Stirling, C, Turajlic, S, Larkin, J, Pickering, L, Furness, A, Young, K, Drake, W, Edmonds, K, Hunter, N, Mangwende, M, Pearce, K, Grostate, L, Au, L, Spain, L, Shepherd, S, Yan, H, Shum, B, Tippu, Z, Hanley, B, Spencer, C, Emmerich, M, Gerard, C, Schmitt, A, Del Rosario, L, Carlyle, E, Lewis, C, Holt, L, Lucanas, A, O'Flaherty, M, Hazell, S, Mudhar, H, Messiou, C, Latifoltojar, A, Fendler, A, Byrne, F, Pallikonda, H, Lobon, I, Coulton, A, Cattin, A, Deng, D, Feng, H, Yousaf, N, Popat, S, Curtis, O, Milner-Watts, C, Stamp, G, Nye, E, Murra, A, Korteweg, J, Kelly, D, Terry, L, Biano, J, Peat, K, Kelly, K, Grieco, C, Le, M, D'Arienzo, P, Turay, E, Hill, P, Josephs, D, Irshad, S, Spicer, J, Mahadeva, U, Green, A, Stewart, R, Wright, N, Pulman, G, Mitu, R, Phillips-Boyd, S, Enting, D, Rudman, S, Ghosh, S, Karapanagiotou, E, Pintus, E, Tutt, A, Howlett, S, Brenton, J, Caldas, C, Fitzgerald, R, Jimenez-Linan, M, Provenzano, E, Cluroe, A, Paterson, A, Aitken, S, Allinson, K, Stewart, G, Mcdermott, U, Beddowes, E, Maughan, T, Ansorge, O, Campbell, P, Roxburgh, P, Fraser, S, Blyth, K, Le Quesne, J, Krebs, M, Blackhall, F, Summers, Y, Oliveira, P, Ortega-Franco, A, Dive, C, Gomes, F, Carter, M, Dransfield, J, Thomas, A, Fennell, D, Shaw, J, Wilson, C, Marrone, D, Naidu, B, Baijal, S, Tanchel, B, Langman, G, Robinson, A, Collard, M, Cockcroft, P, Ferris, C, Bancroft, H, Kerr, A, Middleton, G, Webb, J, Kadiri, S, Colloby, P, Olisemeke, B, Wilson, R, Shackleford, H, Osman, A, Tomlinson, I, Jogai, S, Holden, S, Fernandes, T, Mcneish, I, Hampton, B, Mckenzie, M, Hackshaw, A, Sharp, A, Chan, K, Farrelly, L, Bridger, H, Leslie, R, Tookman, A, Swanton, C, Jamal-Hanjani, M, Lise, S, Sandhu, S, Attard, G, Hasan A. M. M., Cremaschi P., Wetterskog D., Jayaram A., Wong S. Q., Williams S., Pasam A., Trigos A., Trujillo B., Grist E., Friedrich S., Vainauskas O., Parry M., Ismail M., Devlies W., Wingate A., Linch M., Naceur-Lombardelli C., Zaccaria S., Hessey S., Shiu K. -K., Bridgewater J., Hochhauser D., Forster M., Lee S. -M., Ahmad T., Papadatos-Pastos D., Janes S., Van Loo P., Enfield K., McGranahan N., Huebner A., Quezada S., Beck S., Parker P., Enver T., Hynds R. E., Pearce D. R., Falzon M., Proctor I., Sinclair R., Lok C. -W., Rhodes Z., Moore D., Marafioti T., Mitchison M., Ellery P., Sivakumar M., Brandner S., Rowan A., Hiley C., Veeriah S., Shaw H., Toncheva A., Prymas P., Watkins T. B. K., Bailey C., Martinez Ruiz C., Litchfield K., Al-Bakir M., Kanu N., Ward S., Lim E., Reading J., Chain B., Watkins T., Akay M., Flanagan A., Biswas D., Pich O., Dietzen M., Puttick C., Colliver E., Magness A., Angelova M., Black J., Lucas O., Hill W., Liu W. -K., Frankell A., Magno N., Athanasopoulou F., Salgado R., Lee C., Grigoriadis K., Al-Sawaf O., Karasaki T., Bunkum A., Noorani I., Benafif S., Barbe V., Bola S. K., Leone G., Alifrangis C., McGovern U., Thol K., Gamble S., Ung S. K., Sahwangarrom T., Marin C. P., Wong S., Pawlik P., Lam J. M., Richard C., Vendramin R., Dijkstra K., Rane J., Nicod J., Dwornik A., Bowles K., Zaidi R., Gishen F., Stone P., Stirling C., Turajlic S., Larkin J., Pickering L., Furness A., Young K., Drake W., Edmonds K., Hunter N., Mangwende M., Pearce K., Grostate L., Au L., Spain L., Shepherd S., Yan H., Shum B., Tippu Z., Hanley B., Spencer C., Emmerich M., Gerard C., Schmitt A. M., Del Rosario L., Carlyle E., Lewis C., Holt L., Lucanas A., O'Flaherty M., Hazell S., Mudhar H., Messiou C., Latifoltojar A., Fendler A., Byrne F., Pallikonda H., Lobon I., Coulton A., Cattin A. -L., Deng D., Feng H., Yousaf N., Popat S., Curtis O., Milner-Watts C., Stamp G., Nye E., Murra A., Korteweg J., Kelly D., Terry L., Biano J., Peat K., Kelly K., Grieco C., Le M. L., D'Arienzo P. D., Turay E., Hill P., Josephs D., Irshad S., Spicer J., Mahadeva U., Green A., Stewart R., Wright N., Pulman G., Mitu R., Phillips-Boyd S., Enting D., Rudman S., Ghosh S., Karapanagiotou E., Pintus E., Tutt A., Howlett S., Brenton J., Caldas C., Fitzgerald R., Jimenez-Linan M., Provenzano E., Cluroe A., Paterson A., Aitken S., Allinson K., Stewart G., McDermott U., Beddowes E., Maughan T., Ansorge O., Campbell P., Roxburgh P., Fraser S., Blyth K., Le Quesne J., Krebs M., Blackhall F., Summers Y., Oliveira P., Ortega-Franco A., Dive C., Gomes F., Carter M., Dransfield J., Thomas A., Fennell D., Shaw J., Wilson C., Marrone D., Naidu B., Baijal S., Tanchel B., Langman G., Robinson A., Collard M., Cockcroft P., Ferris C., Bancroft H., Kerr A., Middleton G., Webb J., Kadiri S., Colloby P., Olisemeke B., Wilson R., Shackleford H., Osman A., Tomlinson I., Jogai S., Holden S., Fernandes T., McNeish I., Hampton B., McKenzie M., Hackshaw A., Sharp A., Chan K., Farrelly L., Bridger H., Leslie R., Tookman A., Swanton C., Jamal-Hanjani M., Lise S., Sandhu S., Attard G., Hasan, A, Cremaschi, P, Wetterskog, D, Jayaram, A, Wong, S, Williams, S, Pasam, A, Trigos, A, Trujillo, B, Grist, E, Friedrich, S, Vainauskas, O, Parry, M, Ismail, M, Devlies, W, Wingate, A, Linch, M, Naceur-Lombardelli, C, Zaccaria, S, Hessey, S, Shiu, K, Bridgewater, J, Hochhauser, D, Forster, M, Lee, S, Ahmad, T, Papadatos-Pastos, D, Janes, S, Van Loo, P, Enfield, K, Mcgranahan, N, Huebner, A, Quezada, S, Beck, S, Parker, P, Enver, T, Hynds, R, Pearce, D, Falzon, M, Proctor, I, Sinclair, R, Lok, C, Rhodes, Z, Moore, D, Marafioti, T, Mitchison, M, Ellery, P, Sivakumar, M, Brandner, S, Rowan, A, Hiley, C, Veeriah, S, Shaw, H, Toncheva, A, Prymas, P, Watkins, T, Bailey, C, Martinez Ruiz, C, Litchfield, K, Al-Bakir, M, Kanu, N, Ward, S, Lim, E, Reading, J, Chain, B, Akay, M, Flanagan, A, Biswas, D, Pich, O, Dietzen, M, Puttick, C, Colliver, E, Magness, A, Angelova, M, Black, J, Lucas, O, Hill, W, Liu, W, Frankell, A, Magno, N, Athanasopoulou, F, Salgado, R, Lee, C, Grigoriadis, K, Al-Sawaf, O, Karasaki, T, Bunkum, A, Noorani, I, Benafif, S, Barbe, V, Bola, S, Leone, G, Alifrangis, C, Mcgovern, U, Thol, K, Gamble, S, Ung, S, Sahwangarrom, T, Marin, C, Pawlik, P, Lam, J, Richard, C, Vendramin, R, Dijkstra, K, Rane, J, Nicod, J, Dwornik, A, Bowles, K, Zaidi, R, Gishen, F, Stone, P, Stirling, C, Turajlic, S, Larkin, J, Pickering, L, Furness, A, Young, K, Drake, W, Edmonds, K, Hunter, N, Mangwende, M, Pearce, K, Grostate, L, Au, L, Spain, L, Shepherd, S, Yan, H, Shum, B, Tippu, Z, Hanley, B, Spencer, C, Emmerich, M, Gerard, C, Schmitt, A, Del Rosario, L, Carlyle, E, Lewis, C, Holt, L, Lucanas, A, O'Flaherty, M, Hazell, S, Mudhar, H, Messiou, C, Latifoltojar, A, Fendler, A, Byrne, F, Pallikonda, H, Lobon, I, Coulton, A, Cattin, A, Deng, D, Feng, H, Yousaf, N, Popat, S, Curtis, O, Milner-Watts, C, Stamp, G, Nye, E, Murra, A, Korteweg, J, Kelly, D, Terry, L, Biano, J, Peat, K, Kelly, K, Grieco, C, Le, M, D'Arienzo, P, Turay, E, Hill, P, Josephs, D, Irshad, S, Spicer, J, Mahadeva, U, Green, A, Stewart, R, Wright, N, Pulman, G, Mitu, R, Phillips-Boyd, S, Enting, D, Rudman, S, Ghosh, S, Karapanagiotou, E, Pintus, E, Tutt, A, Howlett, S, Brenton, J, Caldas, C, Fitzgerald, R, Jimenez-Linan, M, Provenzano, E, Cluroe, A, Paterson, A, Aitken, S, Allinson, K, Stewart, G, Mcdermott, U, Beddowes, E, Maughan, T, Ansorge, O, Campbell, P, Roxburgh, P, Fraser, S, Blyth, K, Le Quesne, J, Krebs, M, Blackhall, F, Summers, Y, Oliveira, P, Ortega-Franco, A, Dive, C, Gomes, F, Carter, M, Dransfield, J, Thomas, A, Fennell, D, Shaw, J, Wilson, C, Marrone, D, Naidu, B, Baijal, S, Tanchel, B, Langman, G, Robinson, A, Collard, M, Cockcroft, P, Ferris, C, Bancroft, H, Kerr, A, Middleton, G, Webb, J, Kadiri, S, Colloby, P, Olisemeke, B, Wilson, R, Shackleford, H, Osman, A, Tomlinson, I, Jogai, S, Holden, S, Fernandes, T, Mcneish, I, Hampton, B, Mckenzie, M, Hackshaw, A, Sharp, A, Chan, K, Farrelly, L, Bridger, H, Leslie, R, Tookman, A, Swanton, C, Jamal-Hanjani, M, Lise, S, Sandhu, S, Attard, G, Hasan A. M. M., Cremaschi P., Wetterskog D., Jayaram A., Wong S. Q., Williams S., Pasam A., Trigos A., Trujillo B., Grist E., Friedrich S., Vainauskas O., Parry M., Ismail M., Devlies W., Wingate A., Linch M., Naceur-Lombardelli C., Zaccaria S., Hessey S., Shiu K. -K., Bridgewater J., Hochhauser D., Forster M., Lee S. -M., Ahmad T., Papadatos-Pastos D., Janes S., Van Loo P., Enfield K., McGranahan N., Huebner A., Quezada S., Beck S., Parker P., Enver T., Hynds R. E., Pearce D. R., Falzon M., Proctor I., Sinclair R., Lok C. -W., Rhodes Z., Moore D., Marafioti T., Mitchison M., Ellery P., Sivakumar M., Brandner S., Rowan A., Hiley C., Veeriah S., Shaw H., Toncheva A., Prymas P., Watkins T. B. K., Bailey C., Martinez Ruiz C., Litchfield K., Al-Bakir M., Kanu N., Ward S., Lim E., Reading J., Chain B., Watkins T., Akay M., Flanagan A., Biswas D., Pich O., Dietzen M., Puttick C., Colliver E., Magness A., Angelova M., Black J., Lucas O., Hill W., Liu W. -K., Frankell A., Magno N., Athanasopoulou F., Salgado R., Lee C., Grigoriadis K., Al-Sawaf O., Karasaki T., Bunkum A., Noorani I., Benafif S., Barbe V., Bola S. K., Leone G., Alifrangis C., McGovern U., Thol K., Gamble S., Ung S. K., Sahwangarrom T., Marin C. P., Wong S., Pawlik P., Lam J. M., Richard C., Vendramin R., Dijkstra K., Rane J., Nicod J., Dwornik A., Bowles K., Zaidi R., Gishen F., Stone P., Stirling C., Turajlic S., Larkin J., Pickering L., Furness A., Young K., Drake W., Edmonds K., Hunter N., Mangwende M., Pearce K., Grostate L., Au L., Spain L., Shepherd S., Yan H., Shum B., Tippu Z., Hanley B., Spencer C., Emmerich M., Gerard C., Schmitt A. M., Del Rosario L., Carlyle E., Lewis C., Holt L., Lucanas A., O'Flaherty M., Hazell S., Mudhar H., Messiou C., Latifoltojar A., Fendler A., Byrne F., Pallikonda H., Lobon I., Coulton A., Cattin A. -L., Deng D., Feng H., Yousaf N., Popat S., Curtis O., Milner-Watts C., Stamp G., Nye E., Murra A., Korteweg J., Kelly D., Terry L., Biano J., Peat K., Kelly K., Grieco C., Le M. L., D'Arienzo P. D., Turay E., Hill P., Josephs D., Irshad S., Spicer J., Mahadeva U., Green A., Stewart R., Wright N., Pulman G., Mitu R., Phillips-Boyd S., Enting D., Rudman S., Ghosh S., Karapanagiotou E., Pintus E., Tutt A., Howlett S., Brenton J., Caldas C., Fitzgerald R., Jimenez-Linan M., Provenzano E., Cluroe A., Paterson A., Aitken S., Allinson K., Stewart G., McDermott U., Beddowes E., Maughan T., Ansorge O., Campbell P., Roxburgh P., Fraser S., Blyth K., Le Quesne J., Krebs M., Blackhall F., Summers Y., Oliveira P., Ortega-Franco A., Dive C., Gomes F., Carter M., Dransfield J., Thomas A., Fennell D., Shaw J., Wilson C., Marrone D., Naidu B., Baijal S., Tanchel B., Langman G., Robinson A., Collard M., Cockcroft P., Ferris C., Bancroft H., Kerr A., Middleton G., Webb J., Kadiri S., Colloby P., Olisemeke B., Wilson R., Shackleford H., Osman A., Tomlinson I., Jogai S., Holden S., Fernandes T., McNeish I., Hampton B., McKenzie M., Hackshaw A., Sharp A., Chan K., Farrelly L., Bridger H., Leslie R., Tookman A., Swanton C., Jamal-Hanjani M., Lise S., Sandhu S., and Attard G.
- Abstract
Despite initial responses to hormone treatment, metastatic prostate cancer invariably evolves to a lethal state. To characterize the intra-patient evolutionary relationships of metastases that evade treatment, we perform genome-wide copy number profiling and bespoke approaches targeting the androgen receptor (AR) on 167 metastatic regions from 11 organs harvested post-mortem from 10 men who died from prostate cancer. We identify diverse and patient-unique alterations clustering around the AR in metastases from every patient with evidence of independent acquisition of related genomic changes within an individual and, in some patients, the co-existence of AR-neutral clones. Using the genomic boundaries of pan-autosome copy number changes, we confirm a common clone of origin across metastases and diagnostic biopsies, and identified in individual patients, clusters of metastases occupied by dominant clones with diverged autosomal copy number alterations. These autosome-defined clusters are characterized by cluster-specific AR gene architectures, and in two index cases are topologically more congruent than by chance (p-values 3.07 × 10−8 and 6.4 × 10−4). Integration with anatomical sites suggests patterns of spread and points of genomic divergence. Here, we show that copy number boundaries identify treatment-selected clones with putatively distinct lethal trajectories.
- Published
- 2023
4. Tebentafusp effect on the tumoural landscape in metastatic uveal melanoma – a post-mortem study
- Author
-
Beland, C., primary, Shum, B., additional, Cattin, A.-L., additional, Mudhar, H., additional, Gerard, C., additional, Pallikonda, H., additional, Tan, B.J.Y., additional, Lobon, I., additional, Edmonds, K., additional, Lewis, C., additional, Carlyle, E., additional, Byrne, F., additional, Naceur-Lombardelli, C., additional, Moore, D., additional, Proctor, I., additional, Toncheva, A., additional, Rowan, A., additional, Mahadeva, U., additional, Green, A., additional, Shaw, H., additional, Larkin, J., additional, Nathan, P., additional, Swanton, C., additional, Jamal-Hanjani, M., additional, and Turajlic, S., additional
- Published
- 2024
- Full Text
- View/download PDF
5. Immune responses following third COVID-19 vaccination are reduced in patients with hematological malignancies compared to patients with solid
- Author
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Fendler, A, Shepherd, STC, Au, L, Wilkinson, KA, Wu, M, Schmitt, AM, Tippu, Z, Farag, S, Rogiers, A, Harvey, R, Carlyle, E, Edmonds, K, Del Rosario, L, Lingard, K, Mangwende, M, Holt, L, Ahmod, H, Korteweg, J, Foley, T, Barber, T, Emslie-Henry, A, Caulfield-Lynch, N, Byrne, F, Shum, B, Gerard, CL, Deng, D, Kjaer, S, Song, O-R, Queval, C, Kavanagh, C, Wall, EC, Carr, EJ, Namjou, S, Caidan, S, Gavrielides, M, MacRae, JI, Kelly, G, Peat, K, Kelly, D, Murra, A, Kelly, K, O'Flaherty, M, Shea, RL, Gardner, G, Murray, D, Popat, S, Yousaf, N, Jhanji, S, Van As, N, Young, K, Furness, AJS, Pickering, L, Beale, R, Swanton, C, Crick COVID19 consortium, Gandhi, S, Gamblin, S, Bauer, DLV, Kassiotis, G, Howell, M, Nicholson, E, Walker, S, Wilkinson, RJ, Larkin, J, Turajlic, S, CAPTURE consortium, and Wellcome Trust
- Subjects
Cancer Research ,Crick COVID19 consortium ,Oncology ,1112 Oncology and Carcinogenesis ,Oncology & Carcinogenesis ,1109 Neurosciences ,CAPTURE consortium - Abstract
In this report from the CAPTURE study (NCT03226886), we demonstrate that a third dose of COVID-19 vaccine boosts neutralizing antibody (NAb) and cellular responses in patients with cancer, including those that had undetectable NAb titers (NAbT) following two vaccine doses or for whom NAbT waned. We have noted that one key member of the CAPTURE consortium—Sanjay Popat—was inadvertently not included in the author list. We now include him as a co-author. There are no additional changes to the declaration of interests statement, since Dr. Popat declares no competing conflict of interest. This author list change is now reflected in the online version of this letter.
- Published
- 2022
- Full Text
- View/download PDF
6. 1557O Adaptive immunity to SARS-CoV-2 infection and vaccination in cancer patients: The CAPTURE study
- Author
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Shepherd, S.T.C., primary, Fendler, A., additional, Au, L., additional, Byrne, F., additional, Wilkinson, K., additional, Wu, M., additional, Schmitt, A.M., additional, Joharatnam-Hogan, N., additional, Shum, B., additional, Del Rosario, L., additional, Edmonds, K., additional, Carlyle, E., additional, Nicholson, E., additional, Howell, M., additional, Swanton, C., additional, Walker, S., additional, Kassiotis, G., additional, Wilkinson, R., additional, Larkin, J., additional, and Turajlic, S., additional
- Published
- 2021
- Full Text
- View/download PDF
7. 2236P MHC-II neoantigens and copy number alterations (CNA) drive immune checkpoint inhibitor (ICI) response in metastatic melanoma (MM)
- Author
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Shum, B., Lobon, I., Lesluyes, T., Pallikonda, H., Khoja, L.T., Kissoonsingh, P., Nahm, S.H., El Badri, S., Peleva, E., Fusi, A., Gault, A.C., Marais, R., Dhomen, N., Arumugam, P., Pickering, L.M., Danson, S., Larkin, J., Litchfield, K.R., Lorigan, P., and Turajlic, S.
- Published
- 2023
- Full Text
- View/download PDF
8. Standard of practice in clinical trials for pharmacy services.
- Author
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Shum B., Hong E., Nikolajevic-Sarunac J., Vosk C., Munro C., Slobodian P., Challen J., Ching M., Shum B., Hong E., Nikolajevic-Sarunac J., Vosk C., Munro C., Slobodian P., Challen J., and Ching M.
- Published
- 2021
9. Population pharmacokinetic analysis of mycophenolic acid in renal transplant recipients following oral administration of mycophenolate mofetil
- Author
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Shum, B., Duffull, S. B., Taylor, P. J., and Tett, S. E.
- Published
- 2003
10. EVALUATION OF SOME IMPLICIT TIME-STEPPING ALGORITHMS FOR PSEUDODYNAMIC TESTS
- Author
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Pui-Shum B. Shing and Oreste S. Bursi
- Subjects
Earthquake engineering ,Time stepping ,Non linear response ,Distortion ,Earth and Planetary Sciences (miscellaneous) ,Equations of motion ,Non linear model ,Type (model theory) ,Dissipation ,Geotechnical Engineering and Engineering Geology ,Algorithm ,Mathematics - Abstract
Two types of implicit time-stepping algorithms have been proposed recently for pseudodynamic tests. The first type consists of an algorithm which relies on Newton iterations to satisfy the equations of motion. The second type consists of an algorithm which is based on the Operator-Splitting technique and does not require any numerical iteration. While one or the other has been preferred by some researchers, these time-stepping algorithms have not been analysed and compared under a uniform setting. In this paper, a concise summary of these schemes is presented, and they are evaluated in a consistent manner in terms of numerical dissipation, frequency distortion and experimental errors. The analytical results are validated by numerical simulations as well as experimental results. It is shown that the algorithm based on Newton iterations can control experimental error effects effectively by means of an error-correction procedure. The algorithm based on the Operator-Splitting technique demonstrates similar performance provided the I-Modification is adopted.
- Published
- 1996
- Full Text
- View/download PDF
11. Pseudodynamic testing of strain-softening systems with adaptive time steps
- Author
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Oreste S. Bursi, Pui-Shum B. Shing, and Zorica Radakovic-Guzina
- Subjects
Strain softening ,Computer simulation ,Simple (abstract algebra) ,Convergence (routing) ,Earth and Planetary Sciences (miscellaneous) ,Structure (category theory) ,Geotechnical Engineering and Engineering Geology ,Divergence (statistics) ,Algorithm ,Mathematics - Abstract
A structure may exhibit a severe strain-softening behaviour when subjected to strong earthquake excitation. Pseudodynamic testing of such structures using an implicit time-integration algorithm may be conceived of as a problem, since the Newton-type iterations, which are often required when structural non-linearity develops, may not converge under these circumstances. An unconditionally stable implicit time-integration algorithm implemented with Newton-type iterations is analysed to provide an insight into this problem. A simple convergence condition is derived to detect possible divergence. The condition is shown to be a sufficient criterion for convergence for general multiple-degree-of-freedom structures, and it is used later on to develop an adaptive time-stepping strategy to avoid divergence under severe strain-softening conditions. The implementation of this technique for pseudodynamic testing is presented. As demonstrated by numerical examples, the algorithm proves to be effective and reliable.
- Published
- 1994
- Full Text
- View/download PDF
12. Implicit time integration for pseudodynamic tests: Convergence and energy dissipation
- Author
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Pui-Shum B. Shing and Mani T. Vannan
- Subjects
Stiffness ,Dissipation ,Geotechnical Engineering and Engineering Geology ,Residual ,Classical mechanics ,Structural stability ,Convergence (routing) ,Earth and Planetary Sciences (miscellaneous) ,medicine ,Applied mathematics ,Total energy ,medicine.symptom ,Softening ,Scaling ,Mathematics - Abstract
The convergence and energy-dissipation characteristics of an unconditionally stable implicit time integration scheme that has been adopted for pseudodynamic testing are examined in this paper. A convergence criterion is derived for general multiple-degree-of-freedom softening systems. Furthermore, it is shown that undesired loading and unloading cycles can be avoided in numerical iterations by scaling down the incremental corrections. Finally, it is proved that the total energy dissipation introduced by the residual convergence errors and proposed numerical correction is always positive for any softening structures
- Published
- 1991
- Full Text
- View/download PDF
13. Implicit time integration for pseudodynamic tests
- Author
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Edward Cater, Pui-Shum B. Shing, and Mani T. Vannan
- Subjects
Scheme (programming language) ,Engineering ,business.industry ,Geotechnical Engineering and Engineering Geology ,Dual (category theory) ,Displacement control ,Convergence (routing) ,Earth and Planetary Sciences (miscellaneous) ,Integration algorithm ,business ,Spurious relationship ,computer ,Algorithm ,computer.programming_language - Abstract
The use of unconditionally stable implicit time integration techniques for pseudodynamic tests has been recently proposed and advanced by several researchers. Inspired by such developments, a pseudodynamic test scheme based on an unconditionally stable implicit time integration algorithm and dual displacement control is presented in this paper. The accuracy of the proposed scheme is proved with error-propagation analysis. It is shown by numerical examples and verification tests that the error-correction method incorporated can eliminate the spurious higher-mode response, which can often be excited by experimental errors. The practicality of the proposed scheme lies in the fact that the implementation is as easy as that of explicit schemes and that the convergence criteria required are compatible with the accuracy limits of ordinary test apparatus.
- Published
- 1991
- Full Text
- View/download PDF
14. On the accuracy of an implicit algorithm for pseudodynamic tests
- Author
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T. Manivannan and Pui-Shum B. Shing
- Subjects
Time delay and integration ,Calibration (statistics) ,Earth and Planetary Sciences (miscellaneous) ,Range (statistics) ,Integration algorithm ,Interval (mathematics) ,Geotechnical Engineering and Engineering Geology ,Electronic hardware ,Algorithm ,Mathematics - Abstract
The error-propagation characteristics of an implicit time integration algorithm in pseudodynamic testing are examined. It is shown that the implicit algorithm is superior to explicit integration algorithms in terms of experimental error amplification. The influence of systematic experimental errors is studied and methods for controlling these errors are examined. In spite of the fact that the implicit algorithm is unconditionally stable, it is shown that the integration time interval in a pseudodynamic test is limited by the calibration range of the electronic hardware as well as the degree of participation of the higher modes. Furthermore, the tolerance for experimental errors decreases as the integration time interval increases.
- Published
- 1990
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15. Experimental Error Effects in Pseudodynamic Testing
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Pui-Shum B. Shing and Stephen A. Mahin
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Engineering ,Automatic control ,Structural mechanics ,business.industry ,Mechanical Engineering ,Computation ,Experimental data ,Magnitude (mathematics) ,Test method ,Displacement (vector) ,Mechanics of Materials ,business ,Algorithm ,Dynamic testing - Abstract
The pseudodynamic test method is a hybrid, computer‐controlled, experimental technique that adopts a step‐by‐step integration procedure to analyze the seismic behavior of structures. Since the response of the structural specimen in each step of a test is evaluated with the experimental data obtained in the previous step or steps, experimental errors introduced in each step are accumulated in the numerical procedure. The error‐propagation characteristics of several integration algorithms that are currently used for such tests are examined. Mathematical equations that characterize the cumulative growth of experimental errors are formulated, and used to evaluate the error‐amplification effects of the algorithms. It is shown that the magnitude of cumulative errors depends on the numerical properties of the algorithm, the frequency characteristics of the specimen, and the nature of experimental errors. Moreover, it is found that numerically computed displacements should be used instead of experimentally measur...
- Published
- 1990
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16. Population pharmacokinetic analysis of mycophenolic acid in renal transplant recipients following oral administration of mycophenolate mofetil
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Shum, B, Duffull, S B, Taylor, P J, and Tett, S E
- Subjects
Adult ,Male ,Administration, Oral ,Humans ,Pharmacokinetics ,Female ,Enzyme Inhibitors ,Middle Aged ,Mycophenolic Acid ,Kidney Transplantation ,Immunosuppressive Agents ,Aged - Abstract
To develop a population pharmacokinetic model for mycophenolic acid in adult kidney transplant recipients, quantifying average population pharmacokinetic parameter values, and between- and within-subject variability and to evaluate the influence of covariates on the pharmacokinetic variability.Pharmacokinetic data for mycophenolic acid and covariate information were previously available from 22 patients who underwent kidney transplantation at the Princess Alexandra Hospital. All patients received mycophenolate mofetil 1 g orally twice daily. A total of 557 concentration-time points were available. Data were analysed using the first-order method in NONMEM (version 5 level 1.1) using the G77 FORTRAN compiler.The best base model was a two-compartment model with a lag time (apparent oral clearance was 27 l h(-1), and apparent volume of the central compartment 98 l). There was visual evidence of complex absorption and time-dependent clearance processes, but they could not be successfully modelled in this study. Weight was investigated as a covariate, but no significant relationship was determined.The complexity in determining the pharmacokinetics of mycophenolic acid is currently underestimated. More complex pharmacokinetic models, though not supported by the limited data collected for this study, may prove useful in the future. The large between-subject and between-occasion variability and the possibility of nonlinear processes associated with the pharmacokinetics of mycophenolic acid raise questions about the value of the use of therapeutic monitoring and limited sampling strategies.
- Published
- 2003
17. The adipocyte fatty acid-binding protein aP2 is required in allergic airway inflammation
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Shum, B. O.V., primary
- Published
- 2006
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18. Unexpected beta2-microglobulin sequence diversity in individual rainbow trout.
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Shum, B P, primary, Azumi, K, additional, Zhang, S, additional, Kehrer, S R, additional, Raison, R L, additional, Detrich, H W, additional, and Parham, P, additional
- Published
- 1996
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19. Pseudodynamic testing of strain‐softening systems with adaptive time steps
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Bursi, Oreste S., primary, Shing, Pui‐Shum B., additional, and Radakovic‐Guzina, Zorica, additional
- Published
- 1994
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20. Isolation of a classical MHC class I cDNA from an amphibian. Evidence for only one class I locus in the Xenopus MHC.
- Author
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Shum, B P, primary, Avila, D, additional, Du Pasquier, L, additional, Kasahara, M, additional, and Flajnik, M F, additional
- Published
- 1993
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21. Intrathoracic vagus nerve neurofibroma and sudden death in a patient with neurofibromatosis.
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Chow, L T, primary, Shum, B S, additional, and Chow, W H, additional
- Published
- 1993
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22. Implicit time integration for pseudodynamic tests: Convergence and energy dissipation
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Shing, Pui-Shum B., primary and Vannan, Mani T., additional
- Published
- 1991
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23. On the accuracy of an implicit algorithm for pseudodynamic tests
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Shing, Pui-Shum B., primary and Manivannan, T., additional
- Published
- 1990
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- View/download PDF
24. Experimental Error Effects in Pseudodynamic Testing
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Shing, Pui‐shum B., primary and Mahin, Stephen A., additional
- Published
- 1990
- Full Text
- View/download PDF
25. Computational Aspects of a Seismic Performance Test Method Using On-Line Computer Control.
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Shing, Pui-Shum B. and Mahin, S. A.
- Published
- 1985
26. Pseudodynamic Test Method—Current Status and Future Directions
- Author
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Christopher R. Thewalt, Pui-Shum B. Shing, Robert D. Hanson, and Stephen A. Mahin
- Subjects
Engineering ,business.industry ,Mechanical Engineering ,Seismic loading ,Building and Construction ,Structural engineering ,Test method ,Test (assessment) ,Seismic tests ,Structural load ,Mechanics of Materials ,Earthquake shaking table ,General Materials Science ,business ,Quasistatic process ,Civil and Structural Engineering - Abstract
A major concern in seismic performance testing is whether the loading conditions imposed on a test specimen are representative of those that might occur during an actual earthquake. An on-line computer-controlled experimental procedure has been recently developed that appears to combine the simplicity of quasistatic testing with the realism of shaking table tests. The basis of this so called pseudodynamic test method is summarized in this paper. Recent research results are examined to identify the method’s capabilities and limitations. Efforts to extend the applicability of the method are highlighted.
- Published
- 1989
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27. Elimination of spurious higher-mode response in pseudodynamic tests
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Stephen A. Mahin and Pui-Shum B. Shing
- Subjects
Viscous damping ,Computation ,Linear system ,Mode (statistics) ,Tangent ,Stiffness ,Mechanics ,Geotechnical Engineering and Engineering Geology ,Earth and Planetary Sciences (miscellaneous) ,medicine ,medicine.symptom ,Spurious relationship ,Algorithm ,Mathematics ,Dynamic testing - Abstract
In a pseudodynamic test, errors in restoring-force feedback are introduced into numerical computations. Some of these errors can excite the higher-frequency response of the specimen. In this paper, the use of viscous and numerical dampings to eliminate spurious higher-frequency effects is studied. Since the tangent stiffness of a non-linear specimen cannot be measured accurately, initial-stiffness-dependent viscous damping is considered. In addition, an explicit integration algorithm with desired numerical damping properties is proposed and examined. The analytical and numerical studies presented indicate that viscous-damping properties can be substantially changed by non-linear deformations. For this reason, the use of numerical damping appears to be more advantageous.
- Published
- 1987
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28. Cumulative experimental errors in pseudodynamic tests
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Stephen A. Mahin and Pui-Shum B. Shing
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Time delay and integration ,Systematic error ,Linear system ,Earth and Planetary Sciences (miscellaneous) ,Natural frequency ,Interval (mathematics) ,Geotechnical Engineering and Engineering Geology ,Algorithm ,Non-sampling error ,Reliability (statistics) ,Dynamic testing ,Mathematics - Abstract
In pseudodynamic tests, experimental feedback errors are accumulated in the step-by-step integration procedure. In this paper, the growth of cumulative experimental errors is examined. Approximate cumulative error bounds are derived for linear single- and multi-degree-of-freedom systems, based on realistic models of random and systematic feedback errors. These studies show that the rate of cumulative error growth with respect to the integration time step increases rapidly with the natural frequency of the specimen and the integration time interval used. Hence, the higher modes of a multi-degree-of-freedom system are more sensitive to experimental errors than the lower ones. Furthermore, it is shown that some systematic errors are extremely undesirable. Rational criteria for assessing the reliability of pseudodynamic test results are presented.
- Published
- 1987
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29. Pseudodynamic Method for Seismic Testing
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Pui-Shum B. Shing and Stephen A. Mahin
- Subjects
Engineering ,Viscous damping ,business.industry ,Mechanical Engineering ,media_common.quotation_subject ,Building and Construction ,Structural engineering ,Inertia ,Displacement (vector) ,Seismic tests ,Mechanics of Materials ,Improvement methods ,Earthquake shaking table ,General Materials Science ,Boundary value problem ,business ,Civil and Structural Engineering ,media_common - Abstract
The pseudodynamic method is a relatively new experimental technique for evaluating the seismic performance of structural models in a laboratory by means of on-line computer controlled testing. During such a test, the displacement response of a structure to a specified dynamic excitation is numerically computed and quasi-statically imposed on the structure, based on analytically prescribed inertia and viscous damping characteristics for the structure and the experimentally measured structural restoring forces. This paper presents the basic approach of the method, describing the numerical and experimental techniques. Based on current studies, the capabilities and limitations of the method are examined, and possible improvement methods are mentioned. In spite of certain numerical and experimental errors, recent verification tests show that the method can be as reliable and realistic as shaking table testing and that it can be readily implemented in many structural laboratories. The capabilities of the method can be further expanded to test specimens under various load and structural boundary conditions.
- Published
- 1985
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- View/download PDF
30. Computational aspects of a seismic performance test method using on-line computer control
- Author
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Stephen A. Mahin and Pui-Shum B. Shing
- Subjects
Engineering ,Computer control ,business.industry ,Numerical analysis ,Line (geometry) ,Earth and Planetary Sciences (miscellaneous) ,Test method ,Geotechnical Engineering and Engineering Geology ,business ,Simulation ,Displacement (vector) ,Numerical integration - Abstract
The basic computational procedure of a newly developed seismic performance test method is presented and examined in this paper. This method uses a direct step-by-step integration technique to compute the displacement response of a test specimen subjected to a numerically specified seismic excitation record, utilizing the non-linear restoring forces actually developed by the specimen during the experiment. Due to the limitations of the experimental procedure and conditions, special analytical assumptions and numerical methods must be adopted. The adequacy of such analytical techniques is evaluated and possible computational errors are identified. An improved numerical integration algorithm is also proposed for this specific application. It has been found that the method can be a reliable and powerful experimental tool provided appropriate analytical and numerical criteria, as discussed in this paper, are observed.
- Published
- 1985
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31. Simplified methods for large scale enzymatic synthesis of oligoribonucleotides.
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Shum, B W and Crothers, D M
- Abstract
We report simplified methods for large scale enzymatic synthesis of oligoribonucleotides using polynucleotide phosphorylase. The main features of the method are use of RPC-5 chromatography, including chromatography at two pH values to deal with the problem of primer phosphorolysis, rapid dialysis for large scale desalting, simplified methods for enzyme removal, and high resolution 1H and 31P NMR for product identification and demonstration of purity. The capacity of the method is adequate to allow beginning with grams of material in the first polymerization step, so that product yields of several milligrams, sufficient for many physical studies, are possible after as many as three separate polymerization reactions.
- Published
- 1978
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32. Inelastic Structural Analysis Of Braced Platforms For Seismic Loading
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Stephen A. Mahin, Egor P. Popov, Pui-Shum B. Shing, and Victor A. Zayas
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business.industry ,Seismic loading ,Structural engineering ,business ,Geology - Published
- 1981
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33. Isolation of a beta-chemokine like cDNA from rainbow trout (Oncorhynchus mykiss)
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Brian Dixon, Shum, B. P., Adams, E. J., Magor, K. E., and Parham, P.
34. Inelastic Structural Analysis Of Braced Platforms For Seismic Loading
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Zayas, Victor A., primary, Mahin, Stephen A., additional, Popov, Egor P., additional, and Shing, Pui-Shum B., additional
- Published
- 1981
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- View/download PDF
35. Elimination of spurious higher-mode response in pseudodynamic tests
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Shing, Pui-Shum B., primary and Mahin, Stephen A., additional
- Published
- 1987
- Full Text
- View/download PDF
36. Pseudodynamic Test Method—Current Status and Future Directions
- Author
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Mahin, Stephen A., primary, Shing, Pui‐Shum B., additional, Thewalt, Christopher R., additional, and Hanson, Robert D., additional
- Published
- 1989
- Full Text
- View/download PDF
37. Pseudodynamic Method for Seismic Testing
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Mahin, Stephen A., primary and Shing, Pui‐shum B., additional
- Published
- 1985
- Full Text
- View/download PDF
38. Cumulative experimental errors in pseudodynamic tests
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Shing, Pui-Shum B., primary and Mahin, Stephen A., additional
- Published
- 1987
- Full Text
- View/download PDF
39. Biological Barriers for Drug Delivery and Development of Innovative Therapeutic Approaches in HIV, Pancreatic Cancer, and Hemophilia A/B.
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Basar E, Mead H, Shum B, Rauter I, Ay C, Skaletz-Rorowski A, and Brockmeyer NH
- Abstract
Biological barriers remain a major obstacle for the development of innovative therapeutics. Depending on a disease's pathophysiology, the involved tissues, cell populations, and cellular components, drugs often have to overcome several biological barriers to reach their target cells and become effective in a specific cellular compartment. Human biological barriers are incredibly diverse and include multiple layers of protection and obstruction. Importantly, biological barriers are not only found at the organ/tissue level, but also include cellular structures such as the outer plasma membrane, the endolysosomal machinery, and the nuclear envelope. Nowadays, clinicians have access to a broad arsenal of therapeutics ranging from chemically synthesized small molecules, biologicals including recombinant proteins (such as monoclonal antibodies and hormones), nucleic-acid-based therapeutics, and antibody-drug conjugates (ADCs), to modern viral-vector-mediated gene therapy. In the past decade, the therapeutic landscape has been changing rapidly, giving rise to a multitude of innovative therapy approaches. In 2018, the FDA approval of patisiran paved the way for small interfering RNAs (siRNAs) to become a novel class of nucleic-acid-based therapeutics, which-upon effective drug delivery to their target cells-allow to elegantly regulate the post-transcriptional gene expression. The recent approvals of valoctocogene roxaparvovec and etranacogene dezaparvovec for the treatment of hemophilia A and B, respectively, mark the breakthrough of viral-vector-based gene therapy as a new tool to cure disease. A multitude of highly innovative medicines and drug delivery methods including mRNA-based cancer vaccines and exosome-targeted therapy is on the verge of entering the market and changing the treatment landscape for a broad range of conditions. In this review, we provide insights into three different disease entities, which are clinically, scientifically, and socioeconomically impactful and have given rise to many technological advancements: acquired immunodeficiency syndrome (AIDS) as a predominant infectious disease, pancreatic carcinoma as one of the most lethal solid cancers, and hemophilia A/B as a hereditary genetic disorder. Our primary objective is to highlight the overarching principles of biological barriers that can be identified across different disease areas. Our second goal is to showcase which therapeutic approaches designed to cross disease-specific biological barriers have been promising in effectively treating disease. In this context, we will exemplify how the right selection of the drug category and delivery vehicle, mode of administration, and therapeutic target(s) can help overcome various biological barriers to prevent, treat, and cure disease.
- Published
- 2024
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- View/download PDF
40. Late-Stage Metastatic Melanoma Emerges through a Diversity of Evolutionary Pathways.
- Author
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Spain L, Coulton A, Lobon I, Rowan A, Schnidrig D, Shepherd STC, Shum B, Byrne F, Goicoechea M, Piperni E, Au L, Edmonds K, Carlyle E, Hunter N, Renn A, Messiou C, Hughes P, Nobbs J, Foijer F, van den Bos H, Wardenaar R, Spierings DCJ, Spencer C, Schmitt AM, Tippu Z, Lingard K, Grostate L, Peat K, Kelly K, Sarker S, Vaughan S, Mangwende M, Terry L, Kelly D, Biano J, Murra A, Korteweg J, Lewis C, O'Flaherty M, Cattin AL, Emmerich M, Gerard CL, Pallikonda HA, Lynch J, Mason R, Rogiers A, Xu H, Huebner A, McGranahan N, Al Bakir M, Murai J, Naceur-Lombardelli C, Borg E, Mitchison M, Moore DA, Falzon M, Proctor I, Stamp GWH, Nye EL, Young K, Furness AJS, Pickering L, Stewart R, Mahadeva U, Green A, Larkin J, Litchfield K, Swanton C, Jamal-Hanjani M, and Turajlic S
- Subjects
- Humans, Mutation, Evolution, Molecular, DNA, Melanoma pathology, Brain Neoplasms
- Abstract
Understanding the evolutionary pathways to metastasis and resistance to immune-checkpoint inhibitors (ICI) in melanoma is critical for improving outcomes. Here, we present the most comprehensive intrapatient metastatic melanoma dataset assembled to date as part of the Posthumous Evaluation of Advanced Cancer Environment (PEACE) research autopsy program, including 222 exome sequencing, 493 panel-sequenced, 161 RNA sequencing, and 22 single-cell whole-genome sequencing samples from 14 ICI-treated patients. We observed frequent whole-genome doubling and widespread loss of heterozygosity, often involving antigen-presentation machinery. We found KIT extrachromosomal DNA may have contributed to the lack of response to KIT inhibitors of a KIT-driven melanoma. At the lesion-level, MYC amplifications were enriched in ICI nonresponders. Single-cell sequencing revealed polyclonal seeding of metastases originating from clones with different ploidy in one patient. Finally, we observed that brain metastases that diverged early in molecular evolution emerge late in disease. Overall, our study illustrates the diverse evolutionary landscape of advanced melanoma., Significance: Despite treatment advances, melanoma remains a deadly disease at stage IV. Through research autopsy and dense sampling of metastases combined with extensive multiomic profiling, our study elucidates the many mechanisms that melanomas use to evade treatment and the immune system, whether through mutations, widespread copy-number alterations, or extrachromosomal DNA. See related commentary by Shain, p. 1294. This article is highlighted in the In This Issue feature, p. 1275., (©2023 The Authors; Published by the American Association for Cancer Research.)
- Published
- 2023
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- View/download PDF
41. Sotrovimab restores neutralization against current Omicron subvariants in patients with blood cancer.
- Author
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Wu MY, Shepherd STC, Fendler A, Carr EJ, Au L, Harvey R, Dowgier G, Hobbs A, Herman LS, Ragno M, Adams L, Schmitt AM, Tippu Z, Shum B, Farag S, Rogiers A, O'Reilly N, Bawumia P, Smith C, Carlyle E, Edmonds K, Del Rosario L, Lingard K, Mangwende M, Holt L, Ahmod H, Korteweg J, Foley T, Barber T, Hepworth S, Emslie-Henry A, Caulfield-Lynch N, Byrne F, Deng D, Williams B, Brown M, Caidan S, Gavrielides M, MacRae JI, Kelly G, Peat K, Kelly D, Murra A, Kelly K, O'Flaherty M, Popat S, Yousaf N, Jhanji S, Tatham K, Cunningham D, Van As N, Young K, Furness AJS, Pickering L, Beale R, Swanton C, Gandhi S, Gamblin S, Bauer DLV, Kassiotis G, Howell M, Walker S, Nicholson E, Larkin J, Wall EC, and Turajlic S
- Subjects
- Humans, SARS-CoV-2, COVID-19, Hematologic Neoplasms drug therapy, Neoplasms
- Abstract
Wu et al. report that patients with hematologic malignancies have reduced immunity against SARS-CoV-2 Omicron subvariants and Sotrovimab retains neutralizing capacity against all tested Omicron subvariants., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2023 Elsevier Inc. All rights reserved.)
- Published
- 2023
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42. MIT CAACB Risk Assessment Case Study: Assessing Virus Cross-Contamination Risk between Two Simultaneous Processes in an Open Biomanufacturing Facility.
- Author
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Koenigsberg AL, Fowler V, Domike R, Brussel A, Barone PW, Keumurian FJ, Leung J, Wiebe ME, Brewer MT, Chan S, Dumey N, Fournillier A, Goodnight M, Kindermann J, Leavy R, Lee B, Minning S, Murphy M, Myers E, Nahabedian A, Nanda K, Parriott S, Raju GK, Scallan C, Schoch S, Shiminsky J, Shum B, Teitz S, Westrek B, and Springs SL
- Subjects
- Cricetinae, Animals, Humans, Cricetulus, HEK293 Cells, Risk Assessment, Recombinant Proteins, Risk Management, Viruses
- Abstract
Some members of MIT's Consortium on Adventitious Agent Contamination in Biomanufacturing (CAACB) previously published content on the "Quality Risk Management in the Context of Viral Contamination", which described tools, procedures, and methodologies for assessing and managing the risk of a potential virus contamination in cell culture processes. To address the growing industry interest in moving manufacturing toward open ballrooms with functionally closed systems and to demonstrate how the ideas of risk management can be leveraged to perform a risk assessment, CAACB conducted a case study exercise of these new manufacturing modalities. In the case study exercise, a cross-functional team composed of personnel from many of CAACB's industry membership collaboratively assessed the risks of viral cross-contamination between a human and non-human host cell system in an open manufacturing facility. This open manufacturing facility had no walls to provide architectural separation of two processes occurring simultaneously, specifically a recombinant protein perfusion cell culture process using the human cell line, HEK-293 (Process 1) and a downstream postviral filtration unit operation (Process 2) of a recombinant protein produced in CHO cells. This viral risk assessment focused on cross-contamination of the Process 2 filtration unit operation after the Process 1 perfusion bioreactor was contaminated with a virus that went undetected. The workflow for quality risk management that is recommended by the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) was followed, which included identifying and mapping the manufacturing process, defining the risk question, risk evaluation, and risk control. The case study includes a completed Failure Mode and Effects Analysis (FMEA) to provide descriptions of the specific risks and corresponding recommended risk reduction actions., (© PDA, Inc. 2023.)
- Published
- 2023
- Full Text
- View/download PDF
43. Cholesterol-conjugated siRNAs silence gene expression in mucosal dendritic cells in cervicovaginal tissue in mice.
- Author
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Basar E, Shum B, Skaletz-Rorowski A, Wu Y, Nambiar S, and Brockmeyer NH
- Subjects
- Female, Mice, Animals, RNA Interference, Dendritic Cells metabolism, Mucous Membrane, Gene Expression, HIV Infections
- Abstract
Background: RNA interference (RNAi) provides a powerful way to investigate the role of genes in disease pathogenesis and modulate gene expression to treat disease. In 2018, the FDA approved patisiran, the first RNAi-based drug, hence paving the way for a novel class of RNAi therapeutics. Harnessing RNAi to inhibit vaginal HIV transmission requires effective gene silencing in immune cells, which remains difficult. Knockdown in accessible mucosal tissues may be easier than systemic gene silencing. Vaginally applied cholesterol-conjugated small interfering RNAs (chol-siRNAs) blocked herpes simplex virus transmission in mice without tissue damage or immunostimulation., Objectives and Methods: To investigate using flow cytometry, confocal microscopy, and quantitative imaging if chol-siRNAs silence gene expression in vaginal immune cells in mice., Results: Although chol-siRNAs and lipoplexed-siRNAs silence gene expression in dendritic cells (DCs) in vitro, most internalized siRNAs concentrate within multivesicular bodies, where they are inaccessible to the cellular RNAi machinery. When applied intravaginally in vivo, chol-siRNAs penetrate the vaginal mucosa, including the lamina propria, and are efficiently internalized by intraepithelial (IE) and lamina propria (LP) DCs, and CD11b
+ CD45+ cells, but not by T cells. Chol-siRNAs induce partial gene silencing in IE and LP DCs throughout the genital mucosa in vivo but are inactive in F4/80+ CD11b+ macrophages and T cells., Conclusion: As mucosal DCs play an essential role for mucosal viral entry and dissemination, chol-siRNAs could be harnessed to target various host factors that are critical for viral uptake, DC migration and trans-infection of virions to T cells, hence allowing the development of a preventive vaginal HIV microbicide. Furthermore, chol-siRNAs could help elucidate the pathways of HIV transmission and understand the immunologic function of DCs in the genital tract., (© 2022 The Authors. Journal of the European Academy of Dermatology and Venereology published by John Wiley & Sons Ltd on behalf of European Academy of Dermatology and Venereology.)- Published
- 2023
- Full Text
- View/download PDF
44. Functional immune responses against SARS-CoV-2 variants of concern after fourth COVID-19 vaccine dose or infection in patients with blood cancer.
- Author
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Fendler A, Shepherd STC, Au L, Wu M, Harvey R, Wilkinson KA, Schmitt AM, Tippu Z, Shum B, Farag S, Rogiers A, Carlyle E, Edmonds K, Del Rosario L, Lingard K, Mangwende M, Holt L, Ahmod H, Korteweg J, Foley T, Barber T, Emslie-Henry A, Caulfield-Lynch N, Byrne F, Deng D, Kjaer S, Song OR, Queval CJ, Kavanagh C, Wall EC, Carr EJ, Caidan S, Gavrielides M, MacRae JI, Kelly G, Peat K, Kelly D, Murra A, Kelly K, O'Flaherty M, Shea RL, Gardner G, Murray D, Popat S, Yousaf N, Jhanji S, Tatham K, Cunningham D, Van As N, Young K, Furness AJS, Pickering L, Beale R, Swanton C, Gandhi S, Gamblin S, Bauer DLV, Kassiotis G, Howell M, Nicholson E, Walker S, Wilkinson RJ, Larkin J, and Turajlic S
- Subjects
- Humans, Antibodies, Neutralizing, Antibodies, Viral, BNT162 Vaccine, Clinical Studies as Topic, Immunity, SARS-CoV-2, COVID-19 prevention & control, COVID-19 Vaccines immunology, Neoplasms
- Abstract
Patients with blood cancer continue to have a greater risk of inadequate immune responses following three COVID-19 vaccine doses and risk of severe COVID-19 disease. In the context of the CAPTURE study (NCT03226886), we report immune responses in 80 patients with blood cancer who received a fourth dose of BNT162b2. We measured neutralizing antibody titers (NAbTs) using a live virus microneutralization assay against wild-type (WT), Delta, and Omicron BA.1 and BA.2 and T cell responses against WT and Omicron BA.1 using an activation-induced marker (AIM) assay. The proportion of patients with detectable NAb titers and T cell responses after the fourth vaccine dose increased compared with that after the third vaccine dose. Patients who received B cell-depleting therapies within the 12 months before vaccination have the greatest risk of not having detectable NAbT. In addition, we report immune responses in 57 patients with breakthrough infections after vaccination., Competing Interests: Declaration of interests The authors declare no competing interest., (Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2022
- Full Text
- View/download PDF
45. Oral beclomethasone dipropionate is an effective treatment for immune checkpoint inhibitor induced colitis.
- Author
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Alexander JL, Ibraheim H, Richards C, Shum B, Pavlidis P, Hunter N, Teare JP, Wotherspoon A, Furness A, Turajlic S, Pickering L, Larkin J, Speight A, Papa S, and Powell N
- Subjects
- Humans, Male, Adrenal Cortex Hormones therapeutic use, Diarrhea chemically induced, Diarrhea drug therapy, Immune Checkpoint Inhibitors, Inflammation drug therapy, Retrospective Studies, Beclomethasone adverse effects, Beclomethasone therapeutic use, Colitis chemically induced, Colitis drug therapy
- Abstract
Introduction: Systemic corticosteroids are the mainstay of treatment for immune checkpoint inhibitor induced (CPI) colitis but are associated with complications including life-threatening infection. The topically acting oral corticosteroid beclomethasone dipropionate (BD) is an effective treatment for mild to moderate flares of ulcerative colitis, and has fewer side effects than systemic corticosteroids. We hypothesized that BD would be an effective treatment for CPI-induced colitis., Methods: We performed a retrospective analysis of all patients who started BD for CPI-induced colitis at three UK cancer centers between November 2017 and October 2020. All patients underwent endoscopic assessment and biopsy. The initial regimen of BD was 5 mg once daily for 28 days. Data were collected from electronic patient records. Clinical outcomes were assessed at 28 days after initiation of treatment., Results: Twenty-two patients (14 male) with a median age of 64 (range 45-84) with CPI-induced colitis were treated with BD. At baseline, the median number of loose stools in a 24-hour period was six (common terminology criteria for adverse events, CTCAE grade diarrhea=2). Thirteen patients (59%) were dependent on systemic corticosteroids prior to starting BD. Baseline sigmoidoscopy showed moderate inflammation (Mayo Endoscopic Score (MES) = 2) in two patients (9%), mild inflammation (MES=1) in nine patients (41%) and normal findings (MES=0) in eleven patients (50%). Twenty patients (91%) had histopathological features of inflammation. All 22 patients (100%) had a clinical response to BD and 21 (95%) achieved clinical remission with a return to baseline stool frequency (CTCAE diarrhea=0). Ten patients (45%) had symptomatic relapse on cessation of BD, half within 7 days of stopping. All patients recaptured response on restarting BD. No adverse events were reported in patients treated with BD., Conclusions: Topical BD represents an appealing alternative option to systemic immunosuppressive treatments to treat colonic inflammation. In this study, BD was effective and safe at inducing remission in CPI-induced colitis, which was refractory to systemic corticosteroids. Further randomized studies are needed to confirm these findings and determine the optimum dosing regimen., Competing Interests: Competing interests: JLA reports meeting travel support from Vifor Pharma. NP reports he has served as a speaker for Allergan, Bristol Myers Squibb, Falk, Ferring, Janssen, Pfizer, Tillotts, and Takeda, and as a consultant and/or an advisory board member for AbbVie, Allergan, Celgene, Bristol Myers Squibb, Ferring, and Vifor Pharma. JL reports institution grants from Achilles therapeutics, BMS, Merck Sorono, Nektar, Novartis, Pfizer, Roche, Immunocore, Aveo and Pharmacyclics, consulting fees from Iovance, Boston Biomedical, Pfizer, BMS, GSK, Novartis, Incyte, Immunocore, YKT Global, iOnctura and Apple Tree, honoraria from Roche, Novartis, iOnctura, BMS, Pfizer, Incyte, Dynavax, CRUK, GSK, Eisai, Merck, TouchIME and Touch Experts and support for meeting attendance and/or travel from BMS, iOnctura, Roche, Pfizer, Incyte, Merck, Novartis, Pierre Fabre, BUG, ESMO, AIM, AstraZeneca, NCRI, Syneos Health, EUSA, KCA, Bioevents, MedConcept, GSK and RVMais. ST reports grants or contracts from Cancer Research UK (grant reference number C50947/A18176), The National Institute for Health Research (NIHR) Biomedical Research Centre at the Royal Marsden Hospital and Institute of Cancer Research (grant reference number A109), The Kidney and Melanoma Cancer Fund of the Royal Marsden Cancer Charity, The Rosetrees Trust (grant reference number A2204) and Ventana Medical Systems Inc (grant reference numbers 10467 and 10530), honoraria from Jules Bordet Institute, Erasmus, Open Health and MD Anderson, support for attending meetings and/or travel from Jules Bordet Institute, ESMO, SMR, Broad, KCA, IFOM, EORTC, ASCO, Ventana, Roche, Institute of Molecular medicine, KTH Sweden, Pfizer, Erasmus, Systems biology, MD Anderson, WK Weiser, AACR, Research degrees Team, Melanoma Focus and SITC, patents Indel mutations as a therapeutic target and predictive biomarker PCTGB2018/051892 and PCTGB2018/051893 and Clear Cell Renal Cell Carcinoma Biomarkers P113326GB., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.)
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- 2022
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46. Omicron neutralising antibodies after third COVID-19 vaccine dose in patients with cancer.
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Fendler A, Shepherd STC, Au L, Wu M, Harvey R, Schmitt AM, Tippu Z, Shum B, Farag S, Rogiers A, Carlyle E, Edmonds K, Del Rosario L, Lingard K, Mangwende M, Holt L, Ahmod H, Korteweg J, Foley T, Barber T, Emslie-Henry A, Caulfield-Lynch N, Byrne F, Deng D, Kjaer S, Song OR, Queval C, Kavanagh C, Wall EC, Carr EJ, Caidan S, Gavrielides M, MacRae JI, Kelly G, Peat K, Kelly D, Murra A, Kelly K, O'Flaherty M, Shea RL, Gardner G, Murray D, Yousaf N, Jhanji S, Tatham K, Cunningham D, Van As N, Young K, Furness AJS, Pickering L, Beale R, Swanton C, Gandhi S, Gamblin S, Bauer DLV, Kassiotis G, Howell M, Nicholson E, Walker S, Larkin J, and Turajlic S
- Subjects
- Antibodies, Neutralizing immunology, Antibodies, Viral immunology, COVID-19 Vaccines, Humans, SARS-CoV-2, COVID-19 prevention & control, Neoplasms
- Abstract
Competing Interests: DC has received institutional grant funding from MedImmune/AstraZeneca, Clovis, Eli Lilly, 4SC, Bayer, Celgene, Leap, Roche. DLVB has received grant funding from AstraZeneca. CS is funded by CRUK (TRACERx, PEACE and CRUK Cancer Immunotherapy Catalyst Network), the CRUK Lung Cancer Centre of Excellence (C11496/A30025), the Rosetrees Trust, Butterfield and Stoneygate Trusts, the Novo Nordisk Foundation (ID16584), a Royal Society Professorship Enhancement award (RP/EA/180007), the National Institute of Health Research (NIHR) Biomedical Research Centre at University College London Hospitals, the CRUK University College London Centre, the Experimental Cancer Medicine Centre and the Breast Cancer Research Foundation (BCRF 20-157). This work was supported by a Stand Up To Cancer‐LUNGevity-American Lung Association Lung Cancer Interception Dream Team Translational research grant (SU2C-AACR-DT23-17 to SMD and AES). Stand Up To Cancer is a division of the Entertainment Industry Foundation. Research grants are administered by the American Association for Cancer Research, the scientific partner of SU2C. CS received an ERC Advanced Grant (PROTEUS) from the European Research Council under the European Union's Horizon 2020 research and innovation programme (835297). CS is a Royal Society Napier Research Professor (RP150154). ST is funded by Cancer Research UK (A29911); the Francis Crick Institute, which receives its core funding from Cancer Research UK (FC10988), the UK Medical Research Council (FC10988), and the Wellcome Trust (FC10988); the NIHR Biomedical Research Centre at the Royal Marsden Hospital and Institute of Cancer Research (grant reference number A109), the Royal Marsden Cancer Charity, The Rosetrees Trust (A2204), Ventana Medical Systems (grant reference numbers 10467 and 10530), the National Institute of Health (U01 CA247439) and Melanoma Research Alliance (686061). ST has received speaking fees from Roche, Astra Zeneca, Novartis, and Ipsen. ST has the following patents filed: Indel mutations as a therapeutic target and predictive biomarker PCTGB2018/051892 PCTGB2018/051893 and Clear Cell Renal Cell Carcinoma Biomarkers P113326GB. All other authors declare no competing interests. AF, STCS, LA, MW, and RH contributed equally.
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- 2022
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47. Predictive biomarkers for response to immune checkpoint inhibition.
- Author
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Shum B, Larkin J, and Turajlic S
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- Antigen Presentation immunology, Biomarkers, Tumor analysis, Humans, Neoplasms pathology, Programmed Cell Death 1 Receptor metabolism, T-Lymphocytes, Cytotoxic immunology, Treatment Outcome, Tumor Microenvironment, B7-H1 Antigen analysis, Immune Checkpoint Inhibitors therapeutic use, Microsatellite Instability, Neoplasms drug therapy, Neoplasms immunology
- Abstract
Immune checkpoint inhibitors have transformed the prognosis and treatment paradigm of many cancer types, through the potential for durable responses. However, the majority of patients still do not benefit. Response to checkpoint inhibition is determined by dynamic host, tumour and tumour microenvironment factors that display spatial and temporal variability, but our understanding of these interactions is incomplete. Through investigating biomarkers of resistance and response, opportunities arise to discover new therapeutic targets and shape personalised treatment strategies. Here we review approved and emerging biomarkers of response to immune checkpoint inhibitors, in particular the recent rapid progress in host and tumour genomics. It is unlikely that a single biomarker will precisely predict response, but multivariate multiomic markers may provide a balanced assessment of these factors and more accurately identify patients who will benefit. Further efforts are required to translate these groundbreaking discoveries into novel therapeutics and biomarker driven clinical trials, to provide durable treatment response to a greater population of patients., (Crown Copyright © 2021. Published by Elsevier Ltd. All rights reserved.)
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- 2022
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48. Functional antibody and T cell immunity following SARS-CoV-2 infection, including by variants of concern, in patients with cancer: the CAPTURE study.
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Fendler A, Au L, Shepherd STC, Byrne F, Cerrone M, Boos LA, Rzeniewicz K, Gordon W, Shum B, Gerard CL, Ward B, Xie W, Schmitt AM, Joharatnam-Hogan N, Cornish GH, Pule M, Mekkaoui L, Ng KW, Carlyle E, Edmonds K, Rosario LD, Sarker S, Lingard K, Mangwende M, Holt L, Ahmod H, Stone R, Gomes C, Flynn HR, Agua-Doce A, Hobson P, Caidan S, Howell M, Wu M, Goldstone R, Crawford M, Cubitt L, Patel H, Gavrielides M, Nye E, Snijders AP, MacRae JI, Nicod J, Gronthoud F, Shea RL, Messiou C, Cunningham D, Chau I, Starling N, Turner N, Welsh L, van As N, Jones RL, Droney J, Banerjee S, Tatham KC, Jhanji S, O'Brien M, Curtis O, Harrington K, Bhide S, Bazin J, Robinson A, Stephenson C, Slattery T, Khan Y, Tippu Z, Leslie I, Gennatas S, Okines A, Reid A, Young K, Furness AJS, Pickering L, Gandhi S, Gamblin S, Swanton C, Nicholson E, Kumar S, Yousaf N, Wilkinson KA, Swerdlow A, Harvey R, Kassiotis G, Larkin J, Wilkinson RJ, and Turajlic S
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Antibodies, Neutralizing immunology, Antibodies, Viral immunology, COVID-19 blood, COVID-19 mortality, Female, Follow-Up Studies, Humans, Immunity, Cellular, Male, Middle Aged, Neoplasms blood, Neoplasms immunology, Prospective Studies, SARS-CoV-2 immunology, Spike Glycoprotein, Coronavirus immunology, Young Adult, Antibodies, Neutralizing blood, Antibodies, Viral blood, COVID-19 immunology, Neoplasms complications, T-Lymphocytes immunology
- Abstract
Patients with cancer have higher COVID-19 morbidity and mortality. Here we present the prospective CAPTURE study, integrating longitudinal immune profiling with clinical annotation. Of 357 patients with cancer, 118 were SARS-CoV-2 positive, 94 were symptomatic and 2 died of COVID-19. In this cohort, 83% patients had S1-reactive antibodies and 82% had neutralizing antibodies against wild type SARS-CoV-2, whereas neutralizing antibody titers against the Alpha, Beta and Delta variants were substantially reduced. S1-reactive antibody levels decreased in 13% of patients, whereas neutralizing antibody titers remained stable for up to 329 days. Patients also had detectable SARS-CoV-2-specific T cells and CD4
+ responses correlating with S1-reactive antibody levels, although patients with hematological malignancies had impaired immune responses that were disease and treatment specific, but presented compensatory cellular responses, further supported by clinical recovery in all but one patient. Overall, these findings advance the understanding of the nature and duration of the immune response to SARS-CoV-2 in patients with cancer., (© 2021. The Author(s).)- Published
- 2021
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49. Adaptive immunity and neutralizing antibodies against SARS-CoV-2 variants of concern following vaccination in patients with cancer: the CAPTURE study.
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Fendler A, Shepherd STC, Au L, Wilkinson KA, Wu M, Byrne F, Cerrone M, Schmitt AM, Joharatnam-Hogan N, Shum B, Tippu Z, Rzeniewicz K, Boos LA, Harvey R, Carlyle E, Edmonds K, Del Rosario L, Sarker S, Lingard K, Mangwende M, Holt L, Ahmod H, Korteweg J, Foley T, Bazin J, Gordon W, Barber T, Emslie-Henry A, Xie W, Gerard CL, Deng D, Wall EC, Agua-Doce A, Namjou S, Caidan S, Gavrielides M, MacRae JI, Kelly G, Peat K, Kelly D, Murra A, Kelly K, O'Flaherty M, Dowdie L, Ash N, Gronthoud F, Shea RL, Gardner G, Murray D, Kinnaird F, Cui W, Pascual J, Rodney S, Mencel J, Curtis O, Stephenson C, Robinson A, Oza B, Farag S, Leslie I, Rogiers A, Iyengar S, Ethell M, Messiou C, Cunningham D, Chau I, Starling N, Turner N, Welsh L, van As N, Jones RL, Droney J, Banerjee S, Tatham KC, O'Brien M, Harrington K, Bhide S, Okines A, Reid A, Young K, Furness AJS, Pickering L, Swanton C, Gandhi S, Gamblin S, Bauer DLV, Kassiotis G, Kumar S, Yousaf N, Jhanji S, Nicholson E, Howell M, Walker S, Wilkinson RJ, Larkin J, and Turajlic S
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- Aged, Antibodies, Neutralizing blood, Antibodies, Neutralizing immunology, Antibodies, Viral blood, Antibodies, Viral immunology, BNT162 Vaccine administration & dosage, COVID-19 blood, COVID-19 immunology, ChAdOx1 nCoV-19 administration & dosage, Female, Humans, Immunity, Cellular, Immunogenicity, Vaccine, Male, Middle Aged, Neoplasms blood, Neoplasms complications, Prospective Studies, T-Lymphocytes immunology, BNT162 Vaccine immunology, COVID-19 prevention & control, ChAdOx1 nCoV-19 immunology, Neoplasms immunology, SARS-CoV-2 immunology
- Abstract
Coronavirus disease 2019 (COVID-19) antiviral response in a pan-tumor immune monitoring (CAPTURE) ( NCT03226886 ) is a prospective cohort study of COVID-19 immunity in patients with cancer. Here we evaluated 585 patients following administration of two doses of BNT162b2 or AZD1222 vaccines, administered 12 weeks apart. Seroconversion rates after two doses were 85% and 59% in patients with solid and hematological malignancies, respectively. A lower proportion of patients had detectable titers of neutralizing antibodies (NAbT) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOC) versus wild-type (WT) SARS-CoV-2. Patients with hematological malignancies were more likely to have undetectable NAbT and had lower median NAbT than those with solid cancers against both SARS-CoV-2 WT and VOC. By comparison with individuals without cancer, patients with hematological, but not solid, malignancies had reduced neutralizing antibody (NAb) responses. Seroconversion showed poor concordance with NAbT against VOC. Previous SARS-CoV-2 infection boosted the NAb response including against VOC, and anti-CD20 treatment was associated with undetectable NAbT. Vaccine-induced T cell responses were detected in 80% of patients and were comparable between vaccines or cancer types. Our results have implications for the management of patients with cancer during the ongoing COVID-19 pandemic., (© 2021. The Author(s).)
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- 2021
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50. Cytokine release syndrome in a patient with colorectal cancer after vaccination with BNT162b2.
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Au L, Fendler A, Shepherd STC, Rzeniewicz K, Cerrone M, Byrne F, Carlyle E, Edmonds K, Del Rosario L, Shon J, Haynes WA, Ward B, Shum B, Gordon W, Gerard CL, Xie W, Joharatnam-Hogan N, Young K, Pickering L, Furness AJS, Larkin J, Harvey R, Kassiotis G, Gandhi S, Swanton C, Fribbens C, Wilkinson KA, Wilkinson RJ, Lau DK, Banerjee S, Starling N, Chau I, and Turajlic S
- Subjects
- COVID-19 metabolism, COVID-19 prevention & control, Humans, Male, SARS-CoV-2 isolation & purification, COVID-19 Vaccines adverse effects, Colorectal Neoplasms metabolism, Cytokine Release Syndrome
- Abstract
Patients with cancer are currently prioritized in coronavirus disease 2019 (COVID-19) vaccination programs globally, which includes administration of mRNA vaccines. Cytokine release syndrome (CRS) has not been reported with mRNA vaccines and is an extremely rare immune-related adverse event of immune checkpoint inhibitors. We present a case of CRS that occurred 5 d after vaccination with BTN162b2 (tozinameran)-the Pfizer-BioNTech mRNA COVID-19 vaccine-in a patient with colorectal cancer on long-standing anti-PD-1 monotherapy. The CRS was evidenced by raised inflammatory markers, thrombocytopenia, elevated cytokine levels (IFN-γ/IL-2R/IL-18/IL-16/IL-10) and steroid responsiveness. The close temporal association of vaccination and diagnosis of CRS in this case suggests that CRS was a vaccine-related adverse event; with anti-PD1 blockade as a potential contributor. Overall, further prospective pharmacovigillence data are needed in patients with cancer, but the benefit-risk profile remains strongly in favor of COVID-19 vaccination in this population., (© 2021. The Author(s).)
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- 2021
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