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Supplementary Figure S1 from Complex Patterns of Genomic Heterogeneity Identified in 42 Tumor Samples and ctDNA of a Pulmonary Atypical Carcinoid Patient

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posted on 2023-04-04, 02:01 authored by Tamsin J. Robb, Peter Tsai, Sandra Fitzgerald, Paula Shields, Pascalene S. Houseman, Rachna Patel, Vicky Fan, Ben Curran, Rexson Tse, Jacklyn Ting, Nicole Kramer, Braden J. Woodhouse, Esther Coats, Polona Le Quesne Stabej, Jane Reeve, Kate Parker, Ben Lawrence, Cherie Blenkiron, Cristin G. Print

Supplementary Figure S1: ADTEx copy number analysis of Biopsy 1 from low coverage WES Copy number profile of low-coverage WES of Biopsy 1 revealing A, likely amplification of Chr 5 and B, loss of Chr 21. Top panels display DOC ratio, colored by predicted copy number state. Bottom panels display BAF, colored by predicted copy number alteration. The separation of BAF towards 0.3 and 0.6 in Chr 5 indicates chromosomal gain, whereas the separation of BAF towards 0 and 1 in Chr 21 indicates LoH. There was insufficient evidence conclusively identify the presence or absence of the loss of C, Chr 6 and D, chromothripsis of one copy of Chr 11 based on ADTEx analysis of the low-coverage WES of Biopsy 1, however it is likely that they were absent. Copy number analysis was plagued with high levels of noise from low coverage and large differences in coverage between the Biopsy 1 and normal sample. The sole Chr 11 breakpoint covered by the exome sequencing did not provide read support for chromothripsis. The apparent amplifications of regions of each chromosome do not match up to any known alterations in high-quality DNA samples from tumours collected at autopsy and are likely attributable to noise in the low coverage WES.

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Auckland Medical Research Foundation (AMRF)

Translational Medicine Trust

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ARTICLE ABSTRACT

DNA sequencing data from tumor samples and blood plasma from a single patient highlighted the critical early role of chromosomal alterations in atypical carcinoid tumor development. Common tumor variants were readily detected in the blood plasma, unlike emerging tumor variants, which has implications for using ctDNA to capture cancer evolution.

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