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Your search keyword '"Puttick, Clare"' showing total 4 results
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4 results on '"Puttick, Clare"'

1. Genomic-transcriptomic evolution in lung cancer and metastasis

Author

Martínez-Ruiz, Carlos, Black, James RM, Puttick, Clare, Hill, Mark S, Demeulemeester, Jonas, Cadieux, Elizabeth Larose, Thol, Kerstin, Jones, Thomas P, Veeriah, Selvaraju, Naceur-Lombardelli, Cristina, Toncheva, Antonia, Prymas, Paulina, Rowan, Andrew, Ward, Sophia, Cubitt, Laura, Athanasopoulou, Foteini, Pich, Oriol, Karasaki, Takahiro, Moore, David A, Salgado, Roberto, Colliver, Emma, Castignani, Carla, Dietzen, Michelle, Huebner, Ariana, Al Bakir, Maise, Tanić, Miljana, Watkins, Thomas BK, Lim, Emilia L, Al-Rashed, Ali M, Lang, Danny, Clements, James, Cook, Daniel E, Rosenthal, Rachel, Wilson, Gareth A, Frankell, Alexander M, de Carné Trécesson, Sophie, East, Philip, Kanu, Nnennaya, Litchfield, Kevin, Birkbak, Nicolai J, Hackshaw, Allan, Beck, Stephan, Van Loo, Peter, Jamal-Hanjani, Mariam, Consortium, TRACERx, Swanton, Charles, and McGranahan, Nicholas

Subjects
Model organisms, Chemical Biology & High Throughput, Human Biology & Physiology, Stem Cells, FOS: Clinical medicine, Genome Integrity & Repair, Immunology, Gene Expression, Cell Biology, Tumour Biology, Signalling & Oncogenes, Ecology,Evolution & Ethology, Cell Cycle & Chromosomes, Genetics & Genomics, Computational & Systems Biology
Abstract

Intratumour heterogeneity (ITH) fuels lung cancer evolution, which leads to immune evasion and resistance to therapy1. Here, using paired whole-exome and RNA sequencing data, we investigate intratumour transcriptomic diversity in 354 non-small cell lung cancer tumours from 347 out of the first 421 patients prospectively recruited into the TRACERx study2,3. Analyses of 947 tumour regions, representing both primary and metastatic disease, alongside 96 tumour-adjacent normal tissue samples implicate the transcriptome as a major source of phenotypic variation. Gene expression levels and ITH relate to patterns of positive and negative selection during tumour evolution. We observe frequent copy number-independent allele-specific expression that is linked to epigenomic dysfunction. Allele-specific expression can also result in genomic-transcriptomic parallel evolution, which converges on cancer gene disruption. We extract signatures of RNA single-base substitutions and link their aetiology to the activity of the RNA-editing enzymes ADAR and APOBEC3A, thereby revealing otherwise undetected ongoing APOBEC activity in tumours. Characterizing the transcriptomes of primary-metastatic tumour pairs, we combine multiple machine-learning approaches that leverage genomic and transcriptomic variables to link metastasis-seeding potential to the evolutionary context of mutations and increased proliferation within primary tumour regions. These results highlight the interplay between the genome and transcriptome in influencing ITH, lung cancer evolution and metastasis.

Published
2023
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2. The evolution of lung cancer and impact of subclonal selection in TRACERx

Author

Frankell, Alexander M, Dietzen, Michelle, Al Bakir, Maise, Lim, Emilia L, Karasaki, Takahiro, Ward, Sophia, Veeriah, Selvaraju, Colliver, Emma, Huebner, Ariana, Bunkum, Abigail, Hill, Mark S, Grigoriadis, Kristiana, Moore, David A, Black, James RM, Liu, Wing Kin, Thol, Kerstin, Pich, Oriol, Watkins, Thomas BK, Naceur-Lombardelli, Cristina, Cook, Daniel E, Salgado, Roberto, Wilson, Gareth A, Bailey, Chris, Angelova, Mihaela, Bentham, Robert, Martínez-Ruiz, Carlos, Abbosh, Christopher, Nicholson, Andrew G, Le Quesne, John, Biswas, Dhruva, Rosenthal, Rachel, Puttick, Clare, Hessey, Sonya, Lee, Claudia, Prymas, Paulina, Toncheva, Antonia, Smith, Jon, Xing, Wei, Nicod, Jerome, Price, Gillian, Kerr, Keith M, Naidu, Babu, Middleton, Gary, Blyth, Kevin G, Fennell, Dean A, Forster, Martin D, Lee, Siow Ming, Falzon, Mary, Hewish, Madeleine, Shackcloth, Michael J, Lim, Eric, Benafif, Sarah, Russell, Peter, Boleti, Ekaterini, Krebs, Matthew G, Lester, Jason F, Papadatos-Pastos, Dionysis, Ahmad, Tanya, Thakrar, Ricky M, Lawrence, David, Navani, Neal, Janes, Sam M, Dive, Caroline, Blackhall, Fiona H, Summers, Yvonne, Cave, Judith, Marafioti, Teresa, Herrero, Javier, Quezada, Sergio A, Peggs, Karl S, Schwarz, Roland F, Van Loo, Peter, Miedema, Daniël M, Birkbak, Nicolai J, Hiley, Crispin T, Hackshaw, Allan, Zaccaria, Simone, Consortium, TRACERx, Jamal-Hanjani, Mariam, McGranahan, Nicholas, and Swanton, Charles

Subjects
Model organisms, Chemical Biology & High Throughput, Human Biology & Physiology, Stem Cells, FOS: Clinical medicine, Genome Integrity & Repair, Immunology, Cell Biology, Tumour Biology, Signalling & Oncogenes, Ecology,Evolution & Ethology, Cell Cycle & Chromosomes, Genetics & Genomics, Computational & Systems Biology
Abstract

Lung cancer is the leading cause of cancer-associated mortality worldwide1. Here we analysed 1,644 tumour regions sampled at surgery or during follow-up from the first 421 patients with non-small cell lung cancer prospectively enrolled into the TRACERx study. This project aims to decipher lung cancer evolution and address the primary study endpoint: determining the relationship between intratumour heterogeneity and clinical outcome. In lung adenocarcinoma, mutations in 22 out of 40 common cancer genes were under significant subclonal selection, including classical tumour initiators such as TP53 and KRAS. We defined evolutionary dependencies between drivers, mutational processes and whole genome doubling (WGD) events. Despite patients having a history of smoking, 8% of lung adenocarcinomas lacked evidence of tobacco-induced mutagenesis. These tumours also had similar detection rates for EGFR mutations and for RET, ROS1, ALK and MET oncogenic isoforms compared with tumours in never-smokers, which suggests that they have a similar aetiology and pathogenesis. Large subclonal expansions were associated with positive subclonal selection. Patients with tumours harbouring recent subclonal expansions, on the terminus of a phylogenetic branch, had significantly shorter disease-free survival. Subclonal WGD was detected in 19% of tumours, and 10% of tumours harboured multiple subclonal WGDs in parallel. Subclonal, but not truncal, WGD was associated with shorter disease-free survival. Copy number heterogeneity was associated with extrathoracic relapse within 1 year after surgery. These data demonstrate the importance of clonal expansion, WGD and copy number instability in determining the timing and patterns of relapse in non-small cell lung cancer and provide a comprehensive clinical cancer evolutionary data resource.

Published
2023
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3. Antibodies against endogenous retroviruses promote lung cancer immunotherapy

Author

Ng, Kevin W, Boumelha, Jesse, Enfield, Katey SS, Almagro, Jorge, Cha, Hongui, Pich, Oriol, Karasaki, Takahiro, Moore, David A, Salgado, Roberto, Sivakumar, Monica, Young, George, Molina-Arcas, Miriam, de Carné Trécesson, Sophie, Anastasiou, Panayiotis, Fendler, Annika, Au, Lewis, Shepherd, Scott TC, Martínez-Ruiz, Carlos, Puttick, Clare, Black, James RM, Watkins, Thomas BK, Kim, Hyemin, Shim, Seohee, Faulkner, Nikhil, Attig, Jan, Veeriah, Selvaraju, Magno, Neil, Ward, Sophia, Frankell, Alexander M, Al Bakir, Maise, Lim, Emilia L, Hill, Mark S, Wilson, Gareth A, Cook, Daniel E, Birkbak, Nicolai J, Behrens, Axel, Yousaf, Nadia, Popat, Sanjay, Hackshaw, Allan, Consortium, TRACERx, Consortium, CAPTURE, Hiley, Crispin T, Litchfield, Kevin, McGranahan, Nicholas, Jamal-Hanjani, Mariam, Larkin, James, Lee, Se-Hoon, Turajlic, Samra, Swanton, Charles, Downward, Julian, and Kassiotis, George

Subjects
Model organisms, Lung Neoplasms, Immunology, Gene Expression, Adenocarcinoma of Lung, Infectious Disease, Antibodies, Cohort Studies, Mice, Signalling & Oncogenes, Ecology,Evolution & Ethology, Carcinoma, Non-Small-Cell Lung, Tumor Microenvironment, Animals, Humans, Lung, Computational & Systems Biology, Chemical Biology & High Throughput, B-Lymphocytes, Human Biology & Physiology, Stem Cells, FOS: Clinical medicine, Endogenous Retroviruses, Genome Integrity & Repair, Cell Biology, Tumour Biology, Disease Models, Animal, Cell Cycle & Chromosomes, Immunotherapy, Genetics & Genomics
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. ispartof: NATURE vol:616 issue:7957 ispartof: location:England status: Published online

Published
2023
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4. Allele-informed copy number evaluation of plasma DNA samples from metastatic prostate cancer patients: the PCF_SELECT consortium assay

Author

Orlando, Francesco, Romanel, Alessandro, Trujillo, Blanca, Sigouros, Michael, Wetterskog, Daniel, Quaini, Orsetta, Leone, Gianmarco, Xiang, Jenny Z, Wingate, Anna, Tagawa, Scott, Jayaram, Anuradha, Linch, Mark, Swanton, Charles, Jamal-Hanjani, Mariam, Abbosh, Chris, Zaccaria, Simone, Hessey, Sonya, Shiu, Kai-Keen, Bridgewater, John, Hochhauser, Daniel, Forster, Martin, Lee, Siow-Ming, Ahmad, Tanya, Papadatos-Pastos, Dionysis, Janes, Sam, Van Loo, Peter, Enfield, Katey, McGranahan, Nicholas, Huebner, Ariana, Quezada, Sergio, Beck, Stephan, Parker, Peter, Enver, Tariq, Hynds, Robert E, Dijkstra, Krijn, Pearce, David R, Falzon, Mary, Proctor, Ian, Sinclair, Ron, Lok, Chi-wah, Rhodes, Zoe, Moore, David, Marafioti, Teresa, Mitchison, Miriam, Ellery, Peter, Sivakumar, Monica, Brandner, Sebastian, Rowan, Andrew, Hiley, Crispin, Veeriah, Selvaraju, Shaw, Heather, Attard, Gert, Naceur-Lombardelli, Cristina, Toncheva, Antonia, Prymas, Paulina, Watkins, Tom, Bailey, Chris, Ruiz, Carlos Martinez, Litchfield, Kevin, Al-Bakir, Maise, Kanu, Nnenna, Ward, Sophie, Lim, Emilia, Reading, James, Chain, Benny, Alba, Blanca Trujillo, Akay, Melek, Flanagan, Adrienne, Biswas, Dhruva, Pich, Oriol, Dietzen, Michelle, Puttick, Clare, Colliver, Emma, Magness, Alistair, Angelova, Mihaela, Black, James, Lucas, Olivia, Hill, William, Liu, Wing-Kin, Frankell, Alexander, Magno, Neil, Athanasopoulou, Foteini, Wilson, Gareth, Rosenthal, Rachel, Salgado, Roberto, Lee, Claudia, Grigoriadis, Kristiana, Al-Sawaf, Othman, Karasaki, Takahiro, Bunkum, Abigail, Noorani, Imran, Benafif, Sarah, Barbe, Vittorio, Bola, Supreet, Vainauskas, Osvaldas, Hasan, Mahedi, Lise, Stefano, Leone, GianMarco, Alifrangis, Constantine, McGovern, Ursula, Thol, Kerstin, Gamble, Samuel, Ung, Seng Kuong, Sahwangarrom, Teerapon, Marin, Claudia Peinador, Wong, Sophia, Pawlik, Piotr, Gishen, Faye, Tookman, Adrian, Stone, Paddy, Stirling, Caroline, Turajlic, Samra, Larkin, James, Pickering, Lisa, Furness, Andrew, Young, Kate, Drake, Will, Edmonds, Kim, Hunter, Nikki, Mangwende, Mary, Pearce, Karla, Grostate, Lauren, Au, Lewis, Spain, Lavinia, Shepherd, Scott, Yan, Haixi, Shum, Ben, Tippu, Zayd, Hanley, Brian, Spencer, Charlotte, Emmerich, Max, Gerard, Camille, Schmitt, Andreas Michael, Del Rosario, Lyra, Carlyle, Eleanor, Lewis, Charlotte, Holt, Lucy, Lucanas, Analyn, O'Flaherty, Molly, Hazell, Steve, Mudhar, Hardeep, Messiou, Christina, Latifoltojar, Arash, Fendler, Annika, Byrne, Fiona, Pallinkonda, Husayn, Lobon, Irene, Coulton, Alex, Cattin, Anne Laure, Deng, Daqi, Feng, Geoffrey Hugang, Rowan, Andew, Yousaf, Nadia, Popat, Sanjay, Curtis, Olivia, Milner-Watts, Charlotte, Stamp, Gordon, Nye, Emma, Murra, Aida, Korteweg, Justine, Kelly, Denise, Terry, Lauren, Biano, Jennifer, Peat, Kema, Kelly, Kayleigh, Hill, Peter, Josephs, Debra, Irshad, Sheeba, Chandra, Ashish, Spicer, James, Mahadeva, Ula, Green, Anna, Stewart, Ruby, Iredale, Lara-Rose, Mackay, Tina, Deakin, Ben, Enting, Debra, Rudman, Sarah, Ghosh, Sharmistha, Karapagniotou, Lena, Pintus, Elias, Tutt, Andrew, Howlett, Sarah, Michalarea, Vasiliki, Brenton, James, Caldas, Carlos, Fitzgerald, Rebecca, Jimenez-Linan, Merche, Provenzano, Elena, Cluroe, Alison, Paterson, Anna, Aitken, Sarah, Allinson, Kieren, Stewart, Grant, McDermott, Ultan, Beddowes, Emma, Maughan, Tim, Ansorge, Olaf, Campbell, Peter, Roxburgh, Patricia, Fraser, Sioban, Kidd, Andrew, Blyth, Kevin, Le Quesne, John, Krebs, Matthew, Blackhall, Fiona, Summers, Yvonne, Oliveira, Pedro, Ortega-Franco, Ana, Dive, Caroline, Gomes, Fabio, Carter, Mat, Dransfield, Jo, Thomas, Anne, Fennell, Dean, Shaw, Jacqui, Naidu, Babu, Baijal, Shobhit, Tanchel, Bruce, Langman, Gerald, Robinson, Andrew, Collard, Martin, Cockcroft, Peter, Ferris, Charlotte, Bancroft, Hollie, Kerr, Amy, Middleton, Gary, Webb, Joanne, Kadiri, Salma, Colloby, Peter, Olisemeke, Bernard, Wilson, Rodelaine, Tomlinson, Ian, McNeish, Iain, Jogai, Sanjay, Holden, Samantha, Fernandes, Tania, Hampton, Blanche, McKenzie, Mairead, Hackshaw, Allan, Sharp, Abby, Chan, Kitty, Farrelly, Laura, Bridger, Hayley, Leslie, Rachel, Consortium, PEACE, Rubin, Mark A, Wyatt, Alexander W, Beltran, Himisha, Attard, Gerhardt, and Demichelis, Francesca

Subjects
Chemical Biology & High Throughput, Signalling & Oncogenes, Human Biology & Physiology, Ecology,Evolution & Ethology, Genome Integrity & Repair, Tumour Biology, Genetics & Genomics, Computational & Systems Biology
Abstract

Sequencing of cell-free DNA (cfDNA) in cancer patients’ plasma offers a minimally-invasive solution to detect tumor cell genomic alterations to aid real-time clinical decision-making. The reliability of copy number detection decreases at lower cfDNA tumor fractions, limiting utility at earlier stages of the disease. To test a novel strategy for detection of allelic imbalance, we developed a prostate cancer bespoke assay, PCF_SELECT, that includes an innovative sequencing panel covering ∼25 000 high minor allele frequency SNPs and tailored analytical solutions to enable allele-informed evaluation. First, we assessed it on plasma samples from 50 advanced prostate cancer patients. We then confirmed improved detection of genomic alterations in samples with

Published
2022
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