FIGURE 1 from Dissecting the Origin of Heterogeneity in Uterine and Ovarian Carcinosarcomas
Year: 2023
Type: other
Abstract: Genomic landscape of CS. A, Tissue origin and histological subtypes for each tumor (from P01 to P15). B, Main component and detailed percentage content for both samples (a and b) derived from the same tumor. C, CNA analysis: tumor purity (%), ploidy, FGA, and CNA breakpoints number. D, SV number, classified as deletion, duplication, inversion, and interchromosomal translocation. E, SNV and small indel number. F, Proportion of each of four mutational signatures deciphered in the whole cohort. G, MSI phenotype: MSI score (representing the percentage of unstable microsatellite loci), MLH1 promoter methylation (beta-value), and mRNA expression level (TPM – transcripts per million). H, Kataegis number illustrating APOBEC error-prone DNA repair process. I, BRCAness phenotype: number of LST, (white stars highlight samples with LST number ≥20), BRCA1 promoter methylation level (beta-value), BRCA1/2 genes alterations and TDP score, collectively summarized by the HRD status track.
Authors: Anne-Sophie Sertier, Anthony Ferrari, Roxane M. Pommier, Isabelle Treilleux, Sandrine Boyault, Mojgan Devouassoux-Shisheboran, Janice Kielbassa, Emilie Thomas, Laurie Tonon, Vincent Le Texier, Amandine Charreton, Anne-Pierre Morel, Anne Floquet, Florence Joly, Dominique Berton-Rigaud, Gwenaël Ferron, Laurent Arnould, Sabrina Croce, Guillaume Bataillon, Pierre Saintigny, Eliane Mery-Lamarche, Christine Sagan, Aruni P. Senaratne, Ivo G. Gut, Fabien Calvo, Alain Viari, Maria Ouzounova, Isabelle Ray-Coquard, Alain Puisieux
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4376113121