Waddell, Nicola

Signatures of mutational processes in human cancer

Initiative, A. P. C. G., Alexandrov, L. B., ICGC Breast Cancer Consortium, ICGC MMML-Seq Consortium, PedBrain, I., Nik-Zainal, S., Wedge, D. C., Aparicio, S. A. J. R., Behjati, S., Biankin, A. V., et al. (2013) · Nature

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 9,660

Genomic analyses identify molecular subtypes of pancreatic cancer

Bailey, P., Chang, D. K., Nones, K., Johns, A. L., Patch, A.-M., Gingras, M.-C., Miller, D. K., Christ, A. N., Bruxner, T. J. C., Quinn, M. C., et al. (2016) · Nature

Pancreatic and Hepatic Oncology ResearchCancer Genomics and Diagnostics

Cited by 3,621

The repertoire of mutational signatures in human cancer

Alexandrov, L. B., Kim, J., Haradhvala, N. J., Huang, M. N., Tian Ng, A. W., Wu, Y., Boot, A., Covington, K. R., Gordenin, D. A., Bergstrom, E. N., et al. (2020) · Nature

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 3,496

Pan-cancer analysis of whole genomes

The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, Aaltonen, L. A., Abascal, F., Abeshouse, A., Aburatani, H., Adams, D. J., Agrawal, N., Ahn, K. S., Ahn, S.-M., Aikata, H., et al. (2020) · Nature

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 3,064

Whole genomes redefine the mutational landscape of pancreatic cancer

Initiative, A. P. C. G., Waddell, N., Pajic, M., Patch, A.-M., Chang, D. K., Kassahn, K. S., Bailey, P., Johns, A. L., Miller, D., Nones, K., et al. (2015) · Nature

Pancreatic and Hepatic Oncology ResearchCancer Genomics and Diagnostics

Cited by 2,642

Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes

Initiative, A. P. C. G., Biankin, A. V., Waddell, N., Kassahn, K. S., Gingras, M.-C., Muthuswamy, L. B., Johns, A. L., Miller, D. K., Wilson, P. J., Patch, A.-M., et al. (2012) · Nature

Pancreatic and Hepatic Oncology ResearchCancer Genomics and Diagnostics

Cited by 2,058

The evolutionary history of 2,658 cancers

Gerstung, M., Jolly, C., Leshchiner, I., Dentro, S. C., Gonzalez, S., Rosebrock, D., Mitchell, T. J., Rubanova, Y., Anur, P., Yu, K., et al. (2020) · Nature

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 1,057

Whole-genome landscape of pancreatic neuroendocrine tumours

Initiative, A. P. C. G., Scarpa, A., Chang, D. K., Nones, K., Corbo, V., Patch, A.-M., Bailey, P., Lawlor, R. T., Johns, A. L., Miller, D. K., et al. (2017) · Nature

Neuroendocrine Tumor Research AdvancesPancreatic and Hepatic Oncology Research

Cited by 999

Deep learning in cancer diagnosis, prognosis and treatment selection

Tran, K. A., Kondrashova, O., Bradley, A., Williams, E. D., Pearson, J. V., & Waddell, N. (2021) · Genome Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 932

CAF hierarchy driven by pancreatic cancer cell p53-status creates a pro-metastatic and chemoresistant environment via perlecan

Vennin, C., Mélénec, P., Rouet, R., Nobis, M., Cazet, A. S., Murphy, K. J., Herrmann, D., Reed, D. A., Lucas, M. C., Warren, S. C., et al. (2019) · Nature Communications

Pancreatic and Hepatic Oncology ResearchCancer Cells and Metastasis

Cited by 268

Whole genome landscapes of uveal melanoma show an ultraviolet radiation signature in iris tumours

Johansson, P. A., Brooks, K., Newell, F., Palmer, J. M., Wilmott, J. S., Pritchard, A. L., Broit, N., Wood, S., Carlino, M. S., Leonard, C., et al. (2020) · Nature Communications

Ocular Oncology and TreatmentsCancer Genomics and Diagnostics

Cited by 153

Recurrent inactivating RASA2 mutations in melanoma

Arafeh, R., Qutob, N., Emmanuel, R., Keren-Paz, A., Madore, J., Elkahloun, A., Wilmott, J. S., Gartner, J. J., Di Pizio, A., Winograd-Katz, S., et al. (2015) · Nature Genetics

Melanoma and MAPK PathwaysProtein Kinase Regulation and GTPase Signaling

Cited by 107

Jak2V617F and Dnmt3a loss cooperate to induce myelofibrosis through activated enhancer-driven inflammation

Jacquelin, S., Straube, J., Cooper, L., Vu, T., Song, A., Bywater, M., Baxter, E., Heidecker, M., Wackrow, B., Porter, A., et al. (2018) · Blood

Myeloproliferative Neoplasms: Diagnosis and TreatmentAcute Myeloid Leukemia Research

Cited by 99

Whole-genome sequencing reveals clinically relevant insights into the aetiology of familial breast cancers

Nones, K., Johnson, J., Newell, F., Patch, A. M., Thorne, H., Kazakoff, S. H., de Luca, X. M., Parsons, M. T., Ferguson, K., Reid, L. E., et al. (2019) · Annals of Oncology

BRCA gene mutations in cancerCancer Genomics and Diagnostics

Cited by 93

Lost in translation: returning germline genetic results in genome-scale cancer research

Initiative, A. P. C. G., Johns, A. L., McKay, S. H., Humphris, J. L., Pinese, M., Chantrill, L. A., Mead, R. S., Tucker, K., Andrews, L., Goodwin, A., et al. (2017) · Genome Medicine

BRCA gene mutations in cancerGenomics and Rare Diseases

Cited by 79

Intratumoural Heterogeneity Underlies Distinct Therapy Responses and Treatment Resistance in Glioblastoma

Akgül, S., Patch, A.-M., D’Souza, R. C. J., Mukhopadhyay, P., Nones, K., Kempe, S., Kazakoff, S. H., Jeffree, R. L., Stringer, B. W., Pearson, J. V., et al. (2019) · Cancers

Glioma Diagnosis and TreatmentCancer Genomics and Diagnostics

Cited by 57

Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology

MacDonald, S., Foley, H., Yap, M., Johnston, R. L., Steven, K., Koufariotis, L. T., Sharma, S., Wood, S., Addala, V., Pearson, J. V., et al. (2022) · Scientific Reports

Adversarial Robustness in Machine LearningMachine Learning in Healthcare

Cited by 12

Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology

MacDonald, S., Foley, H., Yap, M., Johnston, R., Steven, K., Koufariotis, L., Sharma, S., Wood, S., Addala, V., Pearson, J., et al. (2022) · Scientific Reports

Adversarial Robustness in Machine LearningMachine Learning in Healthcare

Cited by 12

Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology

MacDonald, S., Foley, H., Yap, M., Johnston, R. L., Steven, K., Koufariotis, L. T., Sharma, S., Wood, S., Addala, V., Pearson, J. V., et al. (2023) · Scientific Reports

Adversarial Robustness in Machine LearningMachine Learning in Healthcare

Cited by 12