Search

Your search keyword '"Maughan T"' showing total 542 results
Start Over Author "Maughan T"
542 results on '"Maughan T"'

1. Fluoropyrimidine type, patient age, tumour sidedness and mutation status as determinants of benefit in patients with metastatic colorectal cancer treated with EGFR monoclonal antibodies: individual patient data pooled analysis of randomised trials from the ARCAD database

Author

Karapetis, C. S., Liu, H., Sorich, M. J., Pederson, L. D., Van Cutsem, E., Maughan, T., Douillard, J. Y., O’Callaghan, C. J., Jonker, D., Bokemeyer, C., Sobrero, A., Cremolini, C., Chibaudel, B., Zalcberg, J., Adams, R., Buyse, M., Peeters, M., Yoshino, T., de Gramont, A., and Shi, Q.

Published
2024
Full Text
View/download PDF

6. 7P Molecular targeted therapies based on metastatic site in first-line treatment for colorectal cancer patients: An ARCAD pooled analysis

Author

Raeisi, M., primary, Cohen, R., additional, Chibaudel, B., additional, Hurwitz, H., additional, Saltz, L., additional, Kabbinavar, F., additional, Tebbutt, N., additional, Maughan, T., additional, Douillard, J-Y., additional, Van Cutsem, E., additional, Bokemeyer, C., additional, Adams, R.A., additional, Zalcberg, J.R., additional, Yoshino, T., additional, Cremolini, C., additional, Shi, Q., additional, André, T., additional, and De Gramont, A., additional

Published
2024
Full Text
View/download PDF

7. Copy number architectures define treatment-mediated selection of lethal prostate cancer clones

Author

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

8. CHARIOT: a phase I study of berzosertib with chemoradiotherapy in oesophageal and other solid cancers using time to event continual reassessment method

Author

Javed, S. R., primary, Lord, S., additional, El Badri, S., additional, Harman, R., additional, Holmes, J., additional, Kamzi, F., additional, Maughan, T., additional, McIntosh, D., additional, Mukherjee, S., additional, Ooms, A., additional, Radhakrishna, G., additional, Shaw, P., additional, and Hawkins, M. A., additional

Published
2023
Full Text
View/download PDF

12. PO-1351 Clinical experience with MR-guided adaptive SABR for inoperable pancreatic cancer

Author

Teoh, S., primary, Owens, R., additional, Bungay, H., additional, George, B., additional, Drabble, J., additional, Lamming, J., additional, Mckenzie, J., additional, Chauhan, J., additional, Dhanda, V., additional, Chu, K., additional, Sabharwal, A., additional, Camilleri, P., additional, Good, J., additional, Maughan, T., additional, and Mukherjee, S., additional

Published
2023
Full Text
View/download PDF

13. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

Author

Fernandez-Rozadilla, C, Timofeeva, M, Chen, Z, Law, P, Thomas, M, Bien, S, Diez-Obrero, V, Li, L, Fernandez-Tajes, J, Palles, C, Sherwood, K, Harris, S, Svinti, V, McDonnell, K, Farrington, S, Studd, J, Vaughan-Shaw, P, Shu, X-O, Long, J, Cai, Q, Guo, X, Lu, Y, Scacheri, P, Huyghe, J, Harrison, T, Shibata, D, Haiman, C, Devall, M, Schumacher, F, Melas, M, Rennert, G, Obon-Santacana, M, Martin-Sanchez, V, Moratalla-Navarro, F, Oh, JH, Kim, J, Jee, SH, Jung, KJ, Kweon, S-S, Shin, M-H, Shin, A, Ahn, Y-O, Kim, D-H, Oze, I, Wen, W, Matsuo, K, Matsuda, K, Tanikawa, C, Ren, Z, Gao, Y-T, Jia, W-H, Potter, J, Jenkins, M, Win, AK, Pai, R, Figueiredo, J, Haile, R, Gallinger, S, Woods, M, Newcomb, P, Cheadle, J, Kaplan, R, Maughan, T, Kerr, R, Kerr, D, Kirac, I, Boehm, J, Mecklin, L-P, Jousilahti, P, Knekt, P, Aaltonen, L, Rissanen, H, Pukkala, E, Eriksson, J, Cajuso, T, Hanninen, U, Kondelin, J, Palin, K, Tanskanen, T, Renkonen-Sinisalo, L, Zanke, B, Mannisto, S, Albanes, D, Weinstein, S, Ruiz-Narvaez, E, Palmer, J, Buchanan, D, Platz, E, Visvanathan, K, Ulrich, C, Siegel, E, Brezina, S, Gsur, A, Campbell, P, Chang-Claude, J, Hoffmeister, M, Brenner, H, Slattery, M, Tsilidis, K, Schulze, M, Gunter, M, Murphy, N, Castells, A, Castellvi-Bel, S, Moreira, L, Arndt, V, Shcherbina, A, Stern, M, Pardamean, B, Bishop, T, Giles, G, Southey, M, Idos, G, Abu-Ful, Z, Greenson, J, Shulman, K, Lejbkowicz, F, Offit, K, Su, Y-R, Steinfelder, R, Keku, T, van Guelpen, B, Hudson, T, Hampel, H, Pearlman, R, Berndt, S, Hayes, R, Martinez, ME, Thomas, S, Corley, D, Pharoah, P, Larsson, S, Yen, Y, Lenz, H-J, White, E, Doheny, K, Pugh, E, Shelford, T, Chan, A, Cruz-Correa, M, Lindblom, A, Joshi, A, Schafmayer, C, Kundaje, A, Nickerson, D, Schoen, R, Hampe, J, Stadler, Z, Vodicka, P, Vodickova, L, Vymetalkova, V, Papadopoulos, N, Edlund, C, Gauderman, W, Thomas, D, Toland, A, Markowitz, S, Kim, A, Gruber, S, van Duijnhoven, F, Feskens, E, Sakoda, L, Gago-Dominguez, M, Wolk, A, Naccarati, A, Pardini, B, FitzGerald, L, Lee, SC, Ogino, S, Kooperberg, C, Li, C, Lin, Y, Prentice, R, Qu, C, Bezieau, S, Tangen, C, Mardis, E, Yamaji, T, Sawada, N, Iwasaki, M, Le Marchand, L, Wu, A, McNeil, C, Coetzee, G, Hayward, C, Deary, I, Theodoratou, E, Reid, S, Walker, M, Ooi, LY, Moreno, V, Casey, G, Tomlinson, I, Zheng, W, Dunlop, M, Houlston, R, Peters, U, Fernandez-Rozadilla, C, Timofeeva, M, Chen, Z, Law, P, Thomas, M, Bien, S, Diez-Obrero, V, Li, L, Fernandez-Tajes, J, Palles, C, Sherwood, K, Harris, S, Svinti, V, McDonnell, K, Farrington, S, Studd, J, Vaughan-Shaw, P, Shu, X-O, Long, J, Cai, Q, Guo, X, Lu, Y, Scacheri, P, Huyghe, J, Harrison, T, Shibata, D, Haiman, C, Devall, M, Schumacher, F, Melas, M, Rennert, G, Obon-Santacana, M, Martin-Sanchez, V, Moratalla-Navarro, F, Oh, JH, Kim, J, Jee, SH, Jung, KJ, Kweon, S-S, Shin, M-H, Shin, A, Ahn, Y-O, Kim, D-H, Oze, I, Wen, W, Matsuo, K, Matsuda, K, Tanikawa, C, Ren, Z, Gao, Y-T, Jia, W-H, Potter, J, Jenkins, M, Win, AK, Pai, R, Figueiredo, J, Haile, R, Gallinger, S, Woods, M, Newcomb, P, Cheadle, J, Kaplan, R, Maughan, T, Kerr, R, Kerr, D, Kirac, I, Boehm, J, Mecklin, L-P, Jousilahti, P, Knekt, P, Aaltonen, L, Rissanen, H, Pukkala, E, Eriksson, J, Cajuso, T, Hanninen, U, Kondelin, J, Palin, K, Tanskanen, T, Renkonen-Sinisalo, L, Zanke, B, Mannisto, S, Albanes, D, Weinstein, S, Ruiz-Narvaez, E, Palmer, J, Buchanan, D, Platz, E, Visvanathan, K, Ulrich, C, Siegel, E, Brezina, S, Gsur, A, Campbell, P, Chang-Claude, J, Hoffmeister, M, Brenner, H, Slattery, M, Tsilidis, K, Schulze, M, Gunter, M, Murphy, N, Castells, A, Castellvi-Bel, S, Moreira, L, Arndt, V, Shcherbina, A, Stern, M, Pardamean, B, Bishop, T, Giles, G, Southey, M, Idos, G, Abu-Ful, Z, Greenson, J, Shulman, K, Lejbkowicz, F, Offit, K, Su, Y-R, Steinfelder, R, Keku, T, van Guelpen, B, Hudson, T, Hampel, H, Pearlman, R, Berndt, S, Hayes, R, Martinez, ME, Thomas, S, Corley, D, Pharoah, P, Larsson, S, Yen, Y, Lenz, H-J, White, E, Doheny, K, Pugh, E, Shelford, T, Chan, A, Cruz-Correa, M, Lindblom, A, Joshi, A, Schafmayer, C, Kundaje, A, Nickerson, D, Schoen, R, Hampe, J, Stadler, Z, Vodicka, P, Vodickova, L, Vymetalkova, V, Papadopoulos, N, Edlund, C, Gauderman, W, Thomas, D, Toland, A, Markowitz, S, Kim, A, Gruber, S, van Duijnhoven, F, Feskens, E, Sakoda, L, Gago-Dominguez, M, Wolk, A, Naccarati, A, Pardini, B, FitzGerald, L, Lee, SC, Ogino, S, Kooperberg, C, Li, C, Lin, Y, Prentice, R, Qu, C, Bezieau, S, Tangen, C, Mardis, E, Yamaji, T, Sawada, N, Iwasaki, M, Le Marchand, L, Wu, A, McNeil, C, Coetzee, G, Hayward, C, Deary, I, Theodoratou, E, Reid, S, Walker, M, Ooi, LY, Moreno, V, Casey, G, Tomlinson, I, Zheng, W, Dunlop, M, Houlston, R, and Peters, U

Abstract

Colorectal cancer (CRC) is a leading cause of mortality worldwide. We conducted a genome-wide association study meta-analysis of 100,204 CRC cases and 154,587 controls of European and east Asian ancestry, identifying 205 independent risk associations, of which 50 were unreported. We performed integrative genomic, transcriptomic and methylomic analyses across large bowel mucosa and other tissues. Transcriptome- and methylome-wide association studies revealed an additional 53 risk associations. We identified 155 high-confidence effector genes functionally linked to CRC risk, many of which had no previously established role in CRC. These have multiple different functions and specifically indicate that variation in normal colorectal homeostasis, proliferation, cell adhesion, migration, immunity and microbial interactions determines CRC risk. Crosstissue analyses indicated that over a third of effector genes most probably act outside the colonic mucosa. Our findings provide insights into colorectal oncogenesis and highlight potential targets across tissues for new CRC treatment and chemoprevention strategies.

Published
2023

14. Fluoropyrimidine-induced hand-foot syndrome and cardiotoxicity: recommendations for the use of the oral fluoropyrimidine S-1 in metastatic colorectal cancer

Author

Researchgr. Nucleaire Geneeskunde, Cancer, Epi Kanker Team B, Team Medisch, Circulatory Health, Punt, C J A, Heinemann, V, Maughan, T, Cremolini, C, Van Cutsem, E, McDermott, R, Bodoky, G, André, T, Osterlund, P, Teske, A J, Pfeiffer, P, Researchgr. Nucleaire Geneeskunde, Cancer, Epi Kanker Team B, Team Medisch, Circulatory Health, Punt, C J A, Heinemann, V, Maughan, T, Cremolini, C, Van Cutsem, E, McDermott, R, Bodoky, G, André, T, Osterlund, P, Teske, A J, and Pfeiffer, P

Published
2023

15. ESMO consensus guidelines for the management of patients with metastatic colorectal cancer

Author

Van Cutsem, E., Cervantes, A., Adam, R., Sobrero, A., Van Krieken, J.H., Aderka, D., Aranda Aguilar, E., Bardelli, A., Benson, A., Bodoky, G., Ciardiello, F., D'Hoore, A., Diaz-Rubio, E., Douillard, J.-Y., Ducreux, M., Falcone, A., Grothey, A., Gruenberger, T., Haustermans, K., Heinemann, V., Hoff, P., Köhne, C.-H., Labianca, R., Laurent-Puig, P., Ma, B., Maughan, T., Muro, K., Normanno, N., Österlund, P., Oyen, W.J.G., Papamichael, D., Pentheroudakis, G., Pfeiffer, P., Price, T.J., Punt, C., Ricke, J., Roth, A., Salazar, R., Scheithauer, W., Schmoll, H.J., Tabernero, J., Taïeb, J., Tejpar, S., Wasan, H., Yoshino, T., Zaanan, A., and Arnold, D.

Published
2016
Full Text
View/download PDF

16. LBA26 BREAKWATER safety lead-in (SLI): Encorafenib (E) + cetuximab (C) + chemotherapy (chemo) for BRAFV600E metastatic colorectal cancer (mCRC)

Author

Tabernero, J., primary, Yoshino, T., additional, Kim, T.W., additional, Yaeger, R., additional, Desai, J., additional, Wasan, H.S., additional, Van Cutsem, E., additional, Ciardiello, F., additional, Maughan, T., additional, Eng, C., additional, Tie, J., additional, Fernandez, M.E. Elez, additional, Lonardi, S., additional, Zhang, X., additional, Chavira, R., additional, Usari, T., additional, Hahn, E., additional, and Kopetz, S., additional

Published
2022
Full Text
View/download PDF

18. Activation of innate-adaptive immune machinery by poly(I:C) exposes a therapeutic vulnerability to prevent relapse in stroma-rich colon cancer

Author

Corry, SM, McCorry, AMB, Lannagan, TRM, Leonard, NA, Fisher, NC, Byrne, RM, Tsantoulis, P, Cortes-Lavaud, X, Amirkhah, R, Redmond, KL, McCooey, AJ, Malla, SB, Rogan, E, Sakhnevych, S, Gillespie, MA, White, M, Richman, SD, Jackstadt, R-F, Campbell, AD, Maguire, S, S:CORT and ACRCelerate consortia, McDade, SS, Longley, DB, Loughrey, MB, Coleman, HG, Kerr, EM, Tejpar, S, Maughan, T, Leedham, SJ, Small, DM, Ryan, AE, Sansom, OJ, Lawler, M, and Dunne, PD

Abstract

Objective Stroma-rich tumours represent a poor prognostic subtype in stage II/III colon cancer (CC), with high relapse rates and limited response to standard adjuvant chemotherapy. Design To address the lack of efficacious therapeutic options for patients with stroma-rich CC, we stratified our human tumour cohorts according to stromal content, enabling identification of the biology underpinning relapse and potential therapeutic vulnerabilities specifically within stroma-rich tumours that could be exploited clinically. Following human tumour-based discovery and independent clinical validation, we use a series of in vitro and stroma-rich in vivo models to test and validate the therapeutic potential of elevating the biology associated with reduced relapse in human tumours. Results By performing our analyses specifically within the stroma-rich/high-fibroblast (HiFi) subtype of CC, we identify and validate the clinical value of a HiFi-specific prognostic signature (HPS), which stratifies tumours based on STAT1-related signalling (High-HPS v Low-HPS=HR 0.093, CI 0.019 to 0.466). Using in silico, in vitro and in vivo models, we demonstrate that the HPS is associated with antigen processing and presentation within discrete immune lineages in stroma-rich CC, downstream of double-stranded RNA and viral response signalling. Treatment with the TLR3 agonist poly(I:C) elevated the HPS signalling and antigen processing phenotype across in vitro and in vivo models. In an in vivo model of stroma-rich CC, poly(I:C) treatment significantly increased systemic cytotoxic T cell activity (p

Published
2022

23. OC-0103 SCALOP2:A multicenter randomized trial of RT dose escalation and nelfinavir in pancreatic cancer

Author

Mukherjee, S., primary, Qi, C., additional, Shaw, R., additional, Bridgewater, J., additional, Radhakrishna, G., additional, Patel, N., additional, Tranter, B., additional, Parsons, P., additional, Falk, S., additional, Wasan, H., additional, Holyoake, D., additional, Roy, R., additional, Scott-Brown, M., additional, Hurt, C., additional, Sebag-Montefiore, D., additional, Maughan, T., additional, Hawkins, M., additional, and Corrie, P., additional

Published
2022
Full Text
View/download PDF

24. Research-intensive cancer care in the NHS in the UK

Author

Cameron, D., Stead, M., Lester, N., Parmar, M., Haward, R., Maughan, T., Wilson, R., Spaull, A., Campbell, H., Hamilton, R., Stewart, D., O'Toole, L., Kerr, D., Potts, V., Moser, R., Cooper, M., Poole, K., Darbyshire, J., Kaplan, R., Seymour, M., and Selby, P.

Published
2011
Full Text
View/download PDF

27. Association analyses identify 31 new risk loci for colorectal cancer susceptibility

Author

Law, PJ, Timofeeva, M, Fernandez-Rozadilla, C, Broderick, P, Studd, J, Fernandez-Tajes, J, Farrington, S, Svinti, V, Palles, C, Orlando, G, Sud, A, Holroyd, A, Penegar, S, Theodoratou, E, Vaughan-Shaw, P, Campbell, H, Zgaga, L, Hayward, C, Campbell, A, Harris, S, Deary, IJ, Starr, J, Gatcombe, L, Pinna, M, Briggs, S, Martin, L, Jaeger, E, Sharma-Oates, A, East, J, Leedham, S, Arnold, R, Johnstone, E, Wang, H, Kerr, D, Kerr, R, Maughan, T, Kaplan, R, Al-Tassan, N, Palin, K, Hänninen, UA, Cajuso, T, Tanskanen, T, Kondelin, J, Kaasinen, E, Sarin, A-P, Eriksson, JG, Rissanen, H, Knekt, P, Pukkala, E, Jousilahti, P, Salomaa, V, Ripatti, S, Palotie, A, Renkonen-Sinisalo, L, Lepistö, A, Böhm, J, Mecklin, J-P, Buchanan, DD, Win, A-K, Hopper, J, Jenkins, ME, Lindor, NM, Newcomb, PA, Gallinger, S, Duggan, D, Casey, G, Hoffmann, P, Nöthen, MM, Jöckel, K-H, Easton, DF, Pharoah, PDP, Peto, J, Canzian, F, Swerdlow, A, Eeles, RA, Kote-Jarai, Z, Muir, K, Pashayan, N, Consortium, Practical, Harkin, A, Allan, K, McQueen, J, Paul, J, Iveson, T, Saunders, M, Butterbach, K, Chang-Claude, J, Hoffmeister, M, Brenner, H, Kirac, I, Matošević, P, Hofer, P, Brezina, S, Gsur, A, Cheadle, JP, Aaltonen, LA, Tomlinson, I, Houlston, RS, Dunlop, MG, Law, Philip J [0000-0001-9663-4611], Timofeeva, Maria [0000-0002-2503-4253], Fernandez-Rozadilla, Ceres [0000-0001-7330-4804], Broderick, Peter [0000-0002-8348-5829], Studd, James [0000-0002-7157-754X], Farrington, Susan [0000-0001-5955-7389], Svinti, Victoria [0000-0001-9926-0416], Sud, Amit [0000-0002-6133-0164], Hayward, Caroline [0000-0002-9405-9550], Campbell, Archie [0000-0003-0198-5078], Martin, Lynn [0000-0003-3962-389X], East, James [0000-0001-8035-3700], Kaplan, Richard [0000-0002-0189-8348], Al-Tassan, Nada [0000-0001-9076-0334], Palin, Kimmo [0000-0002-4621-6128], Salomaa, Veikko [0000-0001-7563-5324], Buchanan, Daniel D [0000-0003-2225-6675], Win, Aung-Ko [0000-0002-2794-5261], Jenkins, Mark E [0000-0002-8964-6160], Easton, Douglas F [0000-0003-2444-3247], Pharoah, Paul DP [0000-0001-8494-732X], Eeles, Rosalind A [0000-0002-3698-6241], Muir, Kenneth [0000-0001-6429-988X], Pashayan, Nora [0000-0003-0843-2468], Harkin, Andrea [0000-0002-8831-7381], Paul, James [0000-0001-7367-5816], Hofer, Philipp [0000-0003-2550-6019], Brezina, Stefanie [0000-0001-5238-6900], Cheadle, Jeremy P [0000-0001-9453-8458], Tomlinson, Ian [0000-0003-3037-1470], Houlston, Richard S [0000-0002-5268-0242], and Apollo - University of Cambridge Repository

Subjects
Male, Science, Inheritance Patterns, cancer genetics, Datasets as Topic, colorectal cancer, Genome-wide association studies, Polymorphism, Single Nucleotide, Article, White People, Asian People, Risk Factors, Cancer genomics, Humans, Genetic Predisposition to Disease, lcsh:Science, Cancer genetics, neoplasms, cancer genomics, genomiikka, Middle Aged, Colorectal cancer, digestive system diseases, peräsuolisyöpä, syöpägeenit, Genetic Loci, Case-Control Studies, genome-wide association studies, lcsh:Q, syöpätaudit, Female, Colorectal Neoplasms, Genome-Wide Association Study
Abstract

Colorectal cancer (CRC) is a leading cause of cancer-related death worldwide, and has a strong heritable basis. We report a genome-wide association analysis of 34,627 CRC cases and 71,379 controls of European ancestry that identifies SNPs at 31 new CRC risk loci. We also identify eight independent risk SNPs at the new and previously reported European CRC loci, and a further nine CRC SNPs at loci previously only identified in Asian populations. We use in situ promoter capture Hi-C (CHi-C), gene expression, and in silico annotation methods to identify likely target genes of CRC SNPs. Whilst these new SNP associations implicate target genes that are enriched for known CRC pathways such as Wnt and BMP, they also highlight novel pathways with no prior links to colorectal tumourigenesis. These findings provide further insight into CRC susceptibility and enhance the prospects of applying genetic risk scores to personalised screening and prevention., In colorectal cancer (CRC), finding loci associated with risk may give insight into disease aetiology. Here, the authors report a genome-wide association analysis in Europeans of 34,627 CRC cases and 71,379 controls, and find 31 new risk loci and 17 new risk SNPs at previously reported loci.

Published
2019

28. Changing platforms without stopping the train: experiences of data management and data management systems when adapting platform protocols by adding and closing comparisons

Author

Hague, D, Townsend, S, Masters, L, Rauchenberger, M, Van Looy, N, Diaz-Montana, C, Gannon, M, James, N, Maughan, T, Parmar, MKB, Brown, L, Sydes, MR, and Investigators, Stampede And Focus4

Subjects
Male, Adaptive trials, Data management, Medicine (miscellaneous), Database design, Database, 03 medical and health sciences, Random Allocation, 0302 clinical medicine, Resource (project management), Case report form, Medicine, Humans, Pharmacology (medical), 030212 general & internal medicine, Randomisation, Trial conduct, Protocol (science), Clinical Trials as Topic, lcsh:R5-920, Data collection, Early stopping, business.industry, Methodology, Prostatic Neoplasms, Interim analysis, Data science, Clinical trials unit, Research Design, business, Colorectal Neoplasms, lcsh:Medicine (General), Platform protocol, 030217 neurology & neurosurgery, Multi-arm multi-stage (MAMS)
Abstract

Background There is limited research and literature on the data management challenges encountered in multi-arm, multi-stage platform and umbrella protocols. These trial designs allow both (1) seamless addition of new research comparisons and (2) early stopping of accrual to individual comparisons that do not show sufficient activity. FOCUS4 (colorectal cancer) and STAMPEDE (prostate cancer), run from the Medical Research Council Clinical Trials Unit (CTU) at UCL, are two leading UK examples of clinical trials implementing adaptive platform protocol designs. To date, STAMPEDE has added five new research comparisons, closed two research comparisons following pre-planned interim analysis (lack of benefit), adapted the control arm following results from STAMPEDE and other relevant trials, and completed recruitment to six research comparisons. FOCUS4 has closed one research comparison following pre-planned interim analysis (lack of benefit) and added one new research comparison, with a number of further comparisons in the pipeline. We share our experiences from the operational aspects of running these adaptive trials, focusing on data management. Methods We held discussion groups with STAMPEDE and FOCUS4 CTU data management staff to identify data management challenges specific to adaptive platform protocols. We collated data on a number of case report form (CRF) changes, database amendments and database growth since each trial began. Discussion We found similar adaptive protocol-specific challenges in both trials. Adding comparisons to and removing them from open trials provides extra layers of complexity to CRF and database development. At the start of an adaptive trial, CRFs and databases must be designed to be flexible and scalable in order to cope with the continuous changes, ensuring future data requirements are considered where possible. When adding or stopping a comparison, the challenge is to incorporate new data requirements while ensuring data collection within ongoing comparisons is unaffected. Some changes may apply to all comparisons; others may be comparison-specific or applicable only to patients recruited during a specific time period. We discuss the advantages and disadvantages of the different approaches to CRF and database design we implemented in these trials, particularly in relation to use and maintenance of generic versus comparison-specific CRFs and databases. The work required to add or remove a comparison, including the development and testing of changes, updating of documentation, and training of sites, must be undertaken alongside data management of ongoing comparisons. Adequate resource is required for these competing data management tasks, especially in trials with long follow-up. A plan is needed for regular and pre-analysis data cleaning for multiple comparisons that could recruit at different rates and periods of time. Data-cleaning activities may need to be split and prioritised, especially if analyses for different comparisons overlap in time. Conclusions Adaptive trials offer an efficient model to run randomised controlled trials, but setting up and conducting the data management activities in these trials can be operationally challenging. Trialists and funders must plan for scalability in data collection and the resource required to cope with additional competing data management tasks. Electronic supplementary material The online version of this article (10.1186/s13063-019-3322-7) contains supplementary material, which is available to authorized users.

Published
2019
Full Text
View/download PDF

29. Oral maintenance capecitabine versus active monitoring for patients with metastatic colorectal cancer (mCRC) who are stable or responding after 16 weeks of first-line treatment: Results from the randomized FOCUS4-N trial

Author

Adams, R, Fisher, D, Graham, J, Seligmann, JF, Seymour, M, Kaplan, RS, Yates, E, Richman, SD, Quirke, P, Butler, R, Brown, E, Falk, S, Collinson, FJ, Wilson, RH, Brown, LC, and Maughan, T

Abstract

3504 Background: There is extensive randomised evidence supporting the use of treatment breaks in mCRC, but breaks from treatment are not universally offered to patients despite reductions in toxicity, without detriment to OS. Prior trials have shown that the combination of Cp and bevacizumab extend PFS but not OS. FOCUS4-N explores oral maintenance Cp monotherapy in patients with disease control on first line therapy. Methods: FOCUS4 was a molecularly stratified trial programme registering patients with newly diagnosed mCRC from 88 hospitals in the UK. Whilst undergoing 16 wks of first line treatment, a sample of tumour was sent for laboratory testing to stratify their disease into molecular subtypes: MSI, BRAF, PIK3CA, TP53 and RAS mutations. For some molecular groups, a targeted therapy subtrial was available but entry into the FOCUS4-N trial was offered to those in whom a targeted subtrial was unavailable. Patients were randomised 1:1 between maintenance Cp therapy or AM. The primary outcome was PFS assessed using 8-wkly RECIST reported CT scans with quality of life (using EQ5D 8 weekly) and OS as secondary outcomes. Toxicity and tolerability were assessed 4-wkly. On progression, from the nadir, patients recommenced first line treatment. Cox regression was used to assess efficacy by intention-to-treat (ITT) with adjustment for tumour location, WHO status, metastatic burden, first line treatment and biomarker subtype. Results: Between March 2014 and March 2020, 254 patients were randomised (127 to Cp and 127 to AM). Baseline characteristics were balanced between groups but event rates were higher than anticipated in the AM group and the final analysis was triggered early as a result of the COVID-19 pandemic halting recruitment. The table presents results for PFS and OS. Compliance with treatment was good with per-protocol analysis results very similar to ITT (PFS HR=0.38 (95% CI 0.28-0.51)). Toxicity from Cp v AM was as expected with G≥2 fatigue (25% v 12%), diarrhoea (23% v 13%) and hand-foot syndrome (26% v 3%). Quality of life showed no statistically significant differences between the two arms. Conclusions: Despite strong evidence of prolongation of PFS with maintenance therapy, OS remains unaffected and FOCUS4-N provides additional evidence to support the use of treatment breaks as a safe management alternative for patients who are stable or responding well to first line treatment for mCRC. Cp without bevacizumab may be used to extend PFS, in the interval after 16 weeks of combination therapy. Clinical trial information: ISRCTN#90061546. [Table: see text]

Published
2021

31. 382O Inhibition of WEE1 is effective in TP53 and RAS mutant metastatic colorectal cancer (mCRC): A randomised phase II trial (FOCUS4-C) comparing adavosertib (AZD1775) with active monitoring

Author

Seligmann, J., primary, Fisher, D.J., additional, Brown, L.C., additional, Adams, R., additional, Graham, J., additional, Quirke, P., additional, Richman, S., additional, Butler, R., additional, Domingo, E., additional, Blake, A., additional, Braun, M., additional, Collinson, F., additional, Jones, R., additional, Brown, E., additional, De Winton, E., additional, Humphies, T., additional, Kaplan, R., additional, Wilson, R., additional, Seymour, M., additional, and Maughan, T., additional

Published
2021
Full Text
View/download PDF

33. 431P The FOCUS4-N trial results and individual patient data meta-analysis (IPDM) of maintenance therapy versus active monitoring for patients with metastatic colorectal cancer (mCRC)

Author

Adams, R.A., primary, Fisher, D.J., additional, Graham, J., additional, Seligmann, J., additional, Seymour, M., additional, Kaplan, R.S., additional, Yates, E., additional, Richman, S., additional, Quirke, P., additional, Butler, R., additional, Brown, E., additional, Collinson, F., additional, Falk, S., additional, Wilson, R., additional, Brown, L.C., additional, and Maughan, T., additional

Published
2021
Full Text
View/download PDF

35. Impact of geography on prognostic outcomes of 21,509 patients with metastatic colorectal cancer enrolled in clinical trials: an ARCAD database analysis.

Author

Yin, J, Dawood, S, Cohen, R, Meyers, J, Zalcberg, J, Yoshino, T, Seymour, M, Maughan, T, Saltz, L, Van Cutsem, E, Venook, A, Schmoll, H-J, Goldberg, R, Hoff, P, Hecht, JR, Hurwitz, H, Punt, C, Diaz Rubio, E, Koopman, M, Cremolini, C, Heinemann, V, Tournigard, C, Bokemeyer, C, Fuchs, C, Tebbutt, N, Souglakos, J, Doulliard, J-Y, Kabbinavar, F, Chibaudel, B, de Gramont, A, Shi, Q, Grothey, A, Adams, R, Yin, J, Dawood, S, Cohen, R, Meyers, J, Zalcberg, J, Yoshino, T, Seymour, M, Maughan, T, Saltz, L, Van Cutsem, E, Venook, A, Schmoll, H-J, Goldberg, R, Hoff, P, Hecht, JR, Hurwitz, H, Punt, C, Diaz Rubio, E, Koopman, M, Cremolini, C, Heinemann, V, Tournigard, C, Bokemeyer, C, Fuchs, C, Tebbutt, N, Souglakos, J, Doulliard, J-Y, Kabbinavar, F, Chibaudel, B, de Gramont, A, Shi, Q, Grothey, A, and Adams, R

Abstract

BACKGROUND: Benchmarking international cancer survival differences is necessary to evaluate and improve healthcare systems. Our aim was to assess the potential regional differences in outcomes among patients with metastatic colorectal cancer (mCRC) participating in international randomized clinical trials (RCTs). DESIGN: Countries were grouped into 11 regions according to the World Health Organization and the EUROCARE model. Meta-analyses based on individual patient data were used to synthesize data across studies and regions and to conduct comparisons for outcomes in a two-stage random-effects model after adjusting for age, sex, performance status, and time period. We used mCRC patients enrolled in the first-line RCTs from the ARCAD database, which provided enrolling country information. There were 21,509 patients in 27 RCTs included across the 11 regions. RESULTS: Main outcomes were overall survival (OS) and progression-free survival (PFS). Compared with other regions, patients from the United Kingdom (UK) and Ireland were proportionaly over-represented, older, with higher performance status, more frequently male, and more commonly not treated with biological therapies. Cohorts from central Europe and the United States (USA) had significantly longer OS compared with those from UK and Ireland (p = 0.0034 and p < 0.001, respectively), with median difference of 3-4 months. The survival deficits in the UK and Ireland cohorts were, at most, 15% at 1 year. No evidence of a regional disparity was observed for PFS. Among those treated without biological therapies, patients from the UK and Ireland had shorter OS than central Europe patients (p < 0.001). CONCLUSIONS: Significant international disparities in the OS of cohorts of mCRC patients enrolled in RCTs were found. Survival of mCRC patients included in RCTs was consistently lower in the UK and Ireland regions than in central Europe, southern Europe, and the USA, potentially attributed to greater overall population repr

Published
2021

36. Lack of an association between gallstone disease and bilirubin levels with risk of colorectal cancer: a Mendelian randomisation analysis

Author

Culliford, R, Cornish, AJ, Law, PJ, Farrington, SM, Palin, K, Jenkins, MA, Casey, G, Hoffmeister, M, Brenner, H, Chang-Claude, J, Kirac, I, Maughan, T, Brezina, S, Gsur, A, Cheadle, JP, Aaltonen, LA, Dunlop, MG, Houlston, RS, Culliford, R, Cornish, AJ, Law, PJ, Farrington, SM, Palin, K, Jenkins, MA, Casey, G, Hoffmeister, M, Brenner, H, Chang-Claude, J, Kirac, I, Maughan, T, Brezina, S, Gsur, A, Cheadle, JP, Aaltonen, LA, Dunlop, MG, and Houlston, RS

Abstract

BACKGROUND: Epidemiological studies of the relationship between gallstone disease and circulating levels of bilirubin with risk of developing colorectal cancer (CRC) have been inconsistent. To address possible confounding and reverse causation, we examine the relationship between these potential risk factors and CRC using Mendelian randomisation (MR). METHODS: We used two-sample MR to examine the relationship between genetic liability to gallstone disease and circulating levels of bilirubin with CRC in 26,397 patients and 41,481 controls. We calculated the odds ratio per genetically predicted SD unit increase in log bilirubin levels (ORSD) for CRC and tested for a non-zero causal effect of gallstones on CRC. Sensitivity analysis was applied to identify violations of estimator assumptions. RESULTS: No association between either gallstone disease (P value = 0.60) or circulating levels of bilirubin (ORSD = 1.00, 95% confidence interval (CI) = 0.96-1.03, P value = 0.90) with CRC was shown. CONCLUSIONS: Despite the large scale of this study, we found no evidence for a causal relationship between either circulating levels of bilirubin or gallstone disease with risk of developing CRC. While the magnitude of effect suggested by some observational studies can confidently be excluded, we cannot exclude the possibility of smaller effect sizes and non-linear relationships.

Published
2021

39. Image-based consensus molecular subtype classification (imCMS) of colorectal cancer using deep learning

Author

Sirinukunwattana, K, Domingo-Villanueva, E, Richman, S, Blake, A, Verrill, C, Leedham, SJ, Wu, C-H, Maughan, T, Rittscher, J, and Koelzer, VH

Abstract

Objective: Complex phenotypes captured on histological slides represent the biological processes at play in individual cancers but the link to underlying molecular classification has not been clarified or systematised. In colorectal cancer (CRC), histological grading is a poor predictor of disease progression, and consensus molecular subtypes (CMS) cannot be distinguished without gene expression profiling. We hypothesise that image analysis is a cost-effective tool to associate complex features of tissue organisation with molecular and outcome data and to resolve unclassifiable or heterogeneous cases. In this study, we present an image-based approach to predict CRC CMS from standard H&E sections using deep learning. Design: Training and evaluation of a neural network were performed using a total of n=1,206 tissue sections with comprehensive multi-omic data from three independent datasets (training on FOCUS trial, n=278 patients; test on rectal cancer biopsies, GRAMPIAN cohort, n=144 patients, and The Cancer Genome Atlas (TCGA), n=430 patients). Ground truth CMS calls were ascertained by matching random forest and single sample predictions from MSclassifier. Results: Image-based CMS (imCMS) accurately classified slides in unseen datasets from TCGA (n=431 slides, AUC=0.84) and rectal cancer biopsies (n=265 slides, AUC=0.85). imCMS spatially resolved intra-tumoural heterogeneity and provided secondary calls correlating with bioinformatic prediction from molecular data. imCMS classified samples previously unclassifiable by RNA expression profiling, reproduced the expected correlations with genomic and epigenetic alterations and showed similar prognostic associations as transcriptomic CMS. Conclusion: This study shows that a prediction of RNA expression classifiers can be made from H&E images, opening the door to simple, cheap and reliable biological stratification within routine workflows.

Published
2020

40. Modifiable pathways for colorectal cancer: a mendelian randomisation analysis

Author

Cornish, AJ, Law, PJ, Timofeeva, M, Palin, K, Farrington, SM, Palles, C, Jenkins, MA, Casey, G, Brenner, H, Chang-Claude, J, Hoffmeister, M, Kirac, I, Maughan, T, Brezina, S, Gsur, A, Cheadle, JP, Aaltonen, LA, Tomlinson, I, Dunlop, MG, Houlston, RS, Cornish, AJ, Law, PJ, Timofeeva, M, Palin, K, Farrington, SM, Palles, C, Jenkins, MA, Casey, G, Brenner, H, Chang-Claude, J, Hoffmeister, M, Kirac, I, Maughan, T, Brezina, S, Gsur, A, Cheadle, JP, Aaltonen, LA, Tomlinson, I, Dunlop, MG, and Houlston, RS

Abstract

BACKGROUND: Epidemiological studies have linked lifestyle, cardiometabolic, reproductive, developmental, and inflammatory factors to the risk of colorectal cancer. However, which specific factors affect risk and the strength of these effects are unknown. We aimed to examine the relationship between potentially modifiable risk factors and colorectal cancer. METHODS: We used a random-effects model to examine the relationship between 39 potentially modifiable risk factors and colorectal cancer in 26 397 patients with colorectal cancer and 41 481 controls (ie, people without colorectal cancer). These population data came from a genome-wide association study of people of European ancestry, which was amended to exclude UK BioBank data. In the model, we used genetic variants as instruments via two-sample mendelian randomisation to limit bias from confounding and reverse causation. We calculated odds ratios per genetically predicted SD unit increase in each putative risk factor (ORSD) for colorectal cancer risk. We did mendelian randomisation Egger regressions to identify evidence of potential violations of mendelian randomisation assumptions. A Bonferroni-corrected threshold of p=1·3 × 10-3 was considered significant, and p values less than 0·05 were considered to be suggestive of an association. FINDINGS: No putative risk factors were significantly associated with colorectal cancer risk after correction for multiple testing. However, suggestive associations with increased risk were noted for genetically predicted body fat percentage (ORSD 1·14 [95% CI 1·03-1·25]; p=0·0086), body-mass index (1·09 [1·01-1·17]; p=0·023), waist circumference (1·13 [1·02-1·26]; p=0·018), basal metabolic rate (1·10 [1·03-1·18]; p=0·0079), and concentrations of LDL cholesterol (1·14 [1·04-1·25]; p=0·0056), total cholesterol (1·09 [1·01-1·18]; p=0·025), circulating serum iron (1·17 [1·00-1·36]; p=0·049), and serum vitamin B12 (1·21 [1·04-1·42]; p=0·016), although potential pleiotropy among geneti

Published
2020

43. 432P Toxicity and efficacy of 1st line cetuximab (cetux)-based therapy in RAS wildtype (WT) older patients (pts) with metastatic colorectal cancer (mCRC): A pooled analysis from 1,274 pts in the ARCAD database

Author

Papamichael, D., primary, Lopes, G.S., additional, Olswold, C.L., additional, Chibaudel, B., additional, Zalcberg, J.R., additional, Van Cutsem, E., additional, Venook, A., additional, Maughan, T., additional, Heinemann, V., additional, Kaplan, R.S., additional, Bokemeyer, C., additional, Lenz, H.J., additional, Yoshino, T., additional, Adams, R.A., additional, Grothey, A., additional, De Gramont, A., additional, and Shi, Q., additional

Published
2020
Full Text
View/download PDF

47. Cancer-cell intrinsic gene expression signatures overcome intratumoural heterogeneity bias in colorectal cancer patient classification

Author

Dunne, P, Alderdice, M, O'Reilly, P, Roddy, A, McCorry, A, Richman, S, Maughan, T, McDade, S, Johnston, P, Longley, D, Kay, E, McArt, D, and Lawler, M

Subjects
Gene Expression Profiling, Science, Prognosis, Article, Cohort Studies, Gene Expression Regulation, Neoplastic, SDG 3 - Good Health and Well-being, Lymphatic Metastasis, Biomarkers, Tumor, Humans, Lymph Nodes, Neoplasm Metastasis, Colorectal Neoplasms, Transcriptome, Algorithms, Oligonucleotide Array Sequence Analysis
Abstract

Stromal-derived intratumoural heterogeneity (ITH) has been shown to undermine molecular stratification of patients into appropriate prognostic/predictive subgroups. Here, using several clinically relevant colorectal cancer (CRC) gene expression signatures, we assessed the susceptibility of these signatures to the confounding effects of ITH using gene expression microarray data obtained from multiple tumour regions of a cohort of 24 patients, including central tumour, the tumour invasive front and lymph node metastasis. Sample clustering alongside correlative assessment revealed variation in the ability of each signature to cluster samples according to patient-of-origin rather than region-of-origin within the multi-region dataset. Signatures focused on cancer-cell intrinsic gene expression were found to produce more clinically useful, patient-centred classifiers, as exemplified by the CRC intrinsic signature (CRIS), which robustly clustered samples by patient-of-origin rather than region-of-origin. These findings highlight the potential of cancer-cell intrinsic signatures to reliably stratify CRC patients by minimising the confounding effects of stromal-derived ITH., Tumour expression profiling is currently used for prognostic and predictive purposes without taking into account the intra patient heterogeneity. Here the authors show that cancer cell specific signatures overcome the tumour heterogeneity effect and result in better classification of colorectal cancer patients.

Published
2017
Full Text
View/download PDF

48. A prospective phase II study of pre-operative chemotherapy then short-course radiotherapy for high risk rectal cancer: COPERNICUS

Author

Gollins, S, West, N, Sebag-Montefiore, D, Susnerwala, S, Falk, S, Brown, N, Saunders, M, Quirke, P, Ray, R, Parsons, P, Griffiths, G, Maughan, T, Adams, R, Hurt, C, and McIntyre, A

Abstract

BACKGROUND:Neoadjuvant chemotherapy (NAC) allows earlier treatment of rectal cancer micro-metastases but is not standard of care. There are currently no biomarkers predicting long-term progression-free survival (PFS) benefit from NAC. PATIENTS AND METHODS:In this single arm phase II trial, patients with non-metastatic magnetic resonance imaging (MRI)-defined operable rectal adenocarcinoma at high risk of post-operative metastatic recurrence, received 8 weeks of oxaliplatin/fluorouracil NAC then short-course preoperative radiotherapy (SCPRT) before immediate surgery. Sixteen weeks of post-operative adjuvant chemotherapy (AC) was planned. A pelvic MRI was performed at week 9 immediately post-NAC, before SCPRT. The primary end point was feasibility assessed by completion of protocol treatment up to and including surgery. Secondary endpoints included compliance, toxicity, downstaging efficacy, and PFS. RESULTS:In total 60 patients were recruited May 2012-June 2014. In total 57 patients completed protocol treatment, meeting the primary endpoint. Compliance with NAC was much better than AC: Comparing NAC vs. AC, the median percentage dose intensity for fluoropyrimidine was 100% vs. 63% and for oxaliplatin 100% vs. 45%. Treatment-related toxicity was acceptable with no treatment-related deaths. Post-NAC MRI showed 44 tumours (73%) were T-downstaged and 22 (37%) had excellent MRI tumour regression grade (mrTRG 1-2). Median follow-up was 27 months with 2-year PFS of 86.2% (10 events). On exploratory analysis, post-NAC mrTRG predicted PFS with no event among those with excellent regression. CONCLUSION:The regimen was well tolerated with effective downstaging and encouraging PFS. mrTRG response to NAC may be a new prognostic factor for long-term PFS, but needs validation in larger studies.

Published
2019

49. Prognosis of patients with peritoneal metastatic colorectal cancer given systemic therapy: an analysis of individual patient data from prospective randomised trials from the Analysis and Research in Cancers of the Digestive System (ARCAD) database

Author

Franko, J, Shi, Q, Meyers, J, Maughan, T, Adams, R, Seymour, M, Saltz, L, Punt, C, Koopman, M, Tournigand, C, Tebbutt, N, Diaz-Rubio, E, Souglakos, J, Falcone, A, Chibaudel, B, Heinemann, V, Moen, J, De Gramont, A, Sargent, D, Grothey, A, Group, Analysis And Research In Cancers Of The Digestive System (Arcad), and Oncology

Subjects
Adult, Male, Oncology, medicine.medical_specialty, Adolescent, Colorectal cancer, Clinical Trial, Phase III, Rectum, Metastasis, law.invention, 03 medical and health sciences, Phase III, 0302 clinical medicine, Randomized controlled trial, law, Internal medicine, Journal Article, medicine, Clinical endpoint, Humans, Prospective Studies, Prospective cohort study, Peritoneal Neoplasms, Aged, Proportional Hazards Models, Aged, 80 and over, Proportional hazards model, business.industry, Middle Aged, Prognosis, medicine.disease, Clinical Trial, Clinical trial, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Randomized Controlled Trial, Female, 030211 gastroenterology & hepatology, Colorectal Neoplasms, business
Abstract

BACKGROUND: Patients with peritoneal metastatic colorectal cancer have reduced overall survival compared with patients with metastatic colorectal cancer without peritoneal involvement. Here we further investigated the effect of the number and location of metastases in patients receiving first-line systemic chemotherapy. METHODS: We analysed individual patient data for previously untreated patients enrolled in 14 phase 3 randomised trials done between 1997 and 2008. Trials were included if protocols explicitly pre-specified and solicited for patients with peritoneal involvement in the trial data collection process or had done a formal peritoneum-focused review of individual pre-treatment scans. We used stratified multivariable Cox models to assess the prognostic associations of peritoneal metastatic colorectal cancer with overall survival and progression-free survival, adjusting for other key clinical-pathological factors (age, sex, Eastern Cooperative Oncology Group (ECOG) performance score, primary tumour location [colon vs rectum], previous treatment, and baseline BMI). The primary endpoint was difference in overall survival between populations with and without peritoneal metastases. FINDINGS: Individual patient data were available for 10 553 patients. 9178 (87%) of 10 553 patients had non-peritoneal metastatic colorectal cancer (4385 with one site of metastasis, 4793 with two or more sites of metastasis), 194 (2%) patients had isolated peritoneal metastatic colorectal cancer, and 1181 (11%) had peritoneal metastatic colorectal cancer and other organ involvement. These groups were similar in age, ethnic origin, and use of targeted treatment. Patients with peritoneal metastatic colorectal cancer were more likely than those with non-peritoneal metastatic colorectal cancer to be women (565 [41%] of 1371 vs 3312 [36%] of 9169 patients; p=0·0003), have colon primary tumours (1116 [84%] of 1334 patients vs 5603 [66%]; p

Published
2019
Full Text
View/download PDF

50. Prospective patient stratification into robust cancer-cell intrinsic subtypes from colorectal cancer biopsies

Author

Alderdice, M, Richman, S, Gollins, S, Stewart, J, Hurt, C, Adams, R, McCorry, A, Roddy, A, Vimalachandran, D, Isella, C, Medico, E, Maughan, T, McArt, D, Lawler, M, and Dunne, P

Subjects
Original Paper, molecular stratification, transcriptional signatures, consensus molecular subtypes, colorectal cancer, Original Papers, Gene Expression Regulation, Neoplastic, SDG 3 - Good Health and Well-being, Colonic Neoplasms, Biomarkers, Tumor, Journal Article, gene expression profiling, Humans, biopsy, intrinsic subtypes, Prospective Studies, Colorectal Neoplasms, Neoplasm Staging
Abstract

Colorectal cancer (CRC) biopsies underpin accurate diagnosis, but are also relevant for patient stratification in molecularly‐guided clinical trials. The consensus molecular subtypes (CMSs) and colorectal cancer intrinsic subtypes (CRISs) transcriptional signatures have potential clinical utility for improving prognostic/predictive patient assignment. However, their ability to provide robust classification, particularly in pretreatment biopsies from multiple regions or at different time points, remains untested. In this study, we undertook a comprehensive assessment of the robustness of CRC transcriptional signatures, including CRIS and CMS, using a range of tumour sampling methodologies currently employed in clinical and translational research. These include analyses using (i) laser‐capture microdissected CRC tissue, (ii) eight publically available rectal cancer biopsy data sets (n = 543), (iii) serial biopsies (from AXEBeam trial, NCT00828672; n = 10), (iv) multi‐regional biopsies from colon tumours (n = 29 biopsies, n = 7 tumours), and (v) pretreatment biopsies from the phase II rectal cancer trial COPERNCIUS (NCT01263171; n = 44). Compared to previous results obtained using CRC resection material, we demonstrate that CMS classification in biopsy tissue is significantly less capable of reliably classifying patient subtype (43% unknown in biopsy versus 13% unknown in resections, p = 0.0001). In contrast, there was no significant difference in classification rate between biopsies and resections when using the CRIS classifier. Additionally, we demonstrated that CRIS provides significantly better spatially‐ and temporally‐ robust classification of molecular subtypes in CRC primary tumour tissue compared to CMS (p = 0.003 and p = 0.02, respectively). These findings have potential to inform ongoing biopsy‐based patient stratification in CRC, enabling robust and stable assignment of patients into clinically‐informative arms of prospective multi‐arm, multi‐stage clinical trials. © 2018 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results