Abstract LB-216: Tumor heterogeneity and therapy resistance analyzed at the single-cell level

Author(s):  
Antonio Colaprico ◽  
Francesca Petralia ◽  
Elena Papaleo ◽  
Olivier Gavaert ◽  
Xi Chen ◽  
...  
Cancers ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1541
Author(s):  
Ramón García-Sanz ◽  
Cristina Jiménez

Single-cell sequencing techniques have become a powerful tool for characterizing intra-tumor heterogeneity, which has been reflected in the increasing number of studies carried out and reported. We have rigorously reviewed and compiled the information about these techniques inasmuch as they are relative to the area of hematology to provide a practical view of their potential applications. Studies show how single-cell multi-omics can overcome the limitations of bulk sequencing and be applied at all stages of tumor development, giving insights into the origin and pathogenesis of the tumors, the clonal architecture and evolution, or the mechanisms of therapy resistance. Information at the single-cell level may help resolve questions related to intra-tumor heterogeneity that have not been previously explained by other techniques. With that in mind, we review the existing knowledge about a heterogeneous lymphoma called Waldenström’s macroglobulinemia and discuss how single-cell studies may help elucidate the underlying causes of this heterogeneity.


2019 ◽  
Author(s):  
Antonio Colaprico ◽  
Francesca Petralia ◽  
Elena Papaleo ◽  
Olivier Gavaert ◽  
Xi Chen ◽  
...  

2018 ◽  
Vol 20 (suppl_6) ◽  
pp. vi75-vi75
Author(s):  
Ankush Chandra ◽  
Arman Jahangiri ◽  
William Chen ◽  
Garima Yagnik ◽  
Joseph Garcia ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 4862
Author(s):  
Masahiro Kozuka ◽  
Francesca Battaglin ◽  
Priya Jayachandran ◽  
Jingyuan Wang ◽  
Hiroyuki Arai ◽  
...  

Background: Circulating tumor cells (CTCs) are a prognostic marker in patients with metastatic colorectal cancer (mCRC). However, little is known about the characterization of CTCs in mCRC at the single-cell level using RNA sequencing. The purpose of this study was to validate the capability to detect and isolate single CTCs for single-cell RNA sequencing (scRNA-seq) and to identify clinical significance at a single CTC level. Methods: Single CTCs from 27 mCRC patients were collected by CTC-FIND, which is comprised of filter separation and immunomagnetic depletion to collect ultra-pure CTC samples. To address tumor heterogeneity, CTCs were collected without relying on any traditional CTC markers, such as epithelial and mesenchymal cell antigens, and were undertaken by scRNA-seq using SMART-Seq v4. Results: We identified 59 single CTCs which were classified into four groups by epithelial, epithelial-mesenchymal transition (EMT) and stem cell-related gene expression. Patients receiving second or later-line treatment who had EMT gene expressing CTCs had a significantly shorter PFS and OS. Conclusions: Exploiting CTC-FIND with SMART-Seq v4 showed that scRNA-seq of CTCs may shed new insight into tumor heterogeneity of mCRC and that the presence of CTCs expressing EMT-related genes at the single-cell level could have prognostic value in mCRC patients.


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