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Aquila Fatima

Researcher at Harvard University

Publications -  21
Citations -  9821

Aquila Fatima is an academic researcher from Harvard University. The author has contributed to research in topics: Biology & Genome. The author has an hindex of 11, co-authored 14 publications receiving 7954 citations. Previous affiliations of Aquila Fatima include Erasmus University Rotterdam.

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Mutational Processes Molding the Genomes of 21 Breast Cancers

TL;DR: This work generated catalogs of somatic mutation from 21 breast cancers and applied mathematical methods to extract mutational signatures of the underlying processes, finding a remarkable phenomenon of localized hypermutation, termed “kataegis,” was observed.
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Landscape of somatic mutations in 560 breast cancer whole-genome sequences

Serena Nik-Zainal, +89 more
- 02 Jun 2016 - 
TL;DR: This analysis of all classes of somatic mutation across exons, introns and intergenic regions highlights the repertoire of cancer genes and mutational processes operative, and progresses towards a comprehensive account of the somatic genetic basis of breast cancer.
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The landscape of cancer genes and mutational processes in breast cancer

Philip J. Stephens, +69 more
- 21 Jun 2012 - 
TL;DR: Strong correlations between mutation number, age at which cancer was diagnosed and cancer histological grade are found, and multiple mutational signatures are observed, including one present in about ten per cent of tumours characterized by numerous mutations of cytosine at TpC dinucleotides.
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Pan-cancer analysis of whole genomes

Peter J. Campbell, +1332 more
- 06 Feb 2020 - 
TL;DR: The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.
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The Life History of 21 Breast Cancers

TL;DR: Algorithms were developed to decipher this narrative and applied them to 21 breast cancers, finding that expansion of the dominant subclone to an appreciable mass may represent the final rate-limiting step in a breast cancer's development, triggering diagnosis.