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Accurate tumor clonal structures require single-cell analysis.
Su, Xianbin; Bai, Shihao; Xie, Gangcai; Shi, Yi; Zhao, Linan; Yang, Guoliang; Tian, Futong; He, Kun-Yan; Wang, Lan; Li, Xiaolin; Long, Qi; Han, Ze-Guang.
Affiliation
  • Su X; Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
  • Bai S; Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
  • Xie G; Institute of Reproductive Medicine, Medical School of Nantong University, Nantong, China.
  • Shi Y; Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai, China.
  • Zhao L; Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
  • Yang G; Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Tian F; Department of Design, Politecnico di Milano, Milan, Italy.
  • He KY; Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
  • Wang L; Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
  • Li X; Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
  • Long Q; Joint School of Life Sciences, Guangzhou Medical University & Guangzhou Institutes of Biomedicine and Health-Chinese Academy of Sciences, Guangzhou, China.
  • Han ZG; Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
Ann N Y Acad Sci ; 1517(1): 213-224, 2022 11.
Article de En | MEDLINE | ID: mdl-36081327
ABSTRACT
Tumor clonal structure is closely related to future progression, which has been mainly investigated as mutation abundance clustering in bulk samples. With relatively limited studies at single-cell resolution, a systematic comparison of the two approaches is still lacking. Here, using bulk and single-cell mutational data from the liver and colorectal cancers, we checked whether co-mutations determined by single-cell analysis had corresponding bulk variant allele frequency (VAF) peaks. While bulk analysis suggested the absence of subclonal peaks and, possibly, neutral evolution in some cases, the single-cell analysis identified coexisting subclones. The overlaps of bulk VAF ranges for co-mutations from different subclones made it difficult to separate them. Complex subclonal structures and dynamic evolution could be hidden under the seemingly clonal neutral pattern at the bulk level, suggesting single-cell analysis is necessary to avoid underestimation of tumor heterogeneity.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse sur cellule unique / Tumeurs Limites: Humans Langue: En Journal: Ann N Y Acad Sci Année: 2022 Type de document: Article Pays d'affiliation: Chine

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse sur cellule unique / Tumeurs Limites: Humans Langue: En Journal: Ann N Y Acad Sci Année: 2022 Type de document: Article Pays d'affiliation: Chine