Genomics

Dataset Information

0

841fd1a1-3b4c-4aba-9193-0eb3a987236c - samples


ABSTRACT: Cancer cells enter a reversible drug tolerant persister (DTP) state to evade death from both chemotherapies and targeted agents. It is increasingly appreciated that the DTP state is an important driver of therapy failure and tumor relapse. We combined cellular barcoding and mathematical modeling in patient-derived colorectal cancer xenograft models to identify and characterize the cancer cells capable of generating DTPs in response to standard-of-care chemotherapy. Barcode analysis revealed no loss in clonal complexity of tumors that entered the DTP state and recurred following treatment cessation. Our data fits a mathematical model in which all cancer cells, and not a small subpopulation, possess an equipotent capacity to enter the DTP state. Mechanistically, we determined that DTPs display remarkable transcriptional and functional similarities to diapause, a reversible state of suspended embryonic development triggered by unfavorable environmental conditions. Our study provides new insights into how cancer cells use a developmentally conserved mechanism to drive the DTP state pointing to novel therapeutic opportunities to target diapause-like DTPs.

PROVIDER: EGAD00001006849 | EGA |

REPOSITORIES: EGA

Similar Datasets

2021-01-07 | GSE145356 | GEO
| EGAS00001004773 | EGA
2022-08-22 | GSE189764 | GEO
2020-05-21 | GSE150949 | GEO
| PRJNA606811 | ENA
2015-05-26 | E-GEOD-69203 | biostudies-arrayexpress
2017-07-03 | GSE74179 | GEO
2017-07-03 | GSE73874 | GEO
2015-05-26 | GSE69203 | GEO
2021-05-17 | PXD021924 | Pride