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| Item Type: | Article |
|---|---|
| Title: | Clonal dominance defines metastatic dissemination in pancreatic cancer |
| Creators Name: | Ho, I.L., Li, C.Y., Wang, F., Zhao, L., Liu, J., Yen, E.Y., Dyke, C.A., Shah, R., Liu, Z., Çetin, A.O., Chu, Y., Citron, F., Attanasio, S., Corti, D., Darbaniyan, F., Del Poggetto, E., Loponte, S., Liu, J., Soeung, M., Chen, Z., Jiang, S., Jiang, H., Inoue, A., Gao, S., Deem, A., Feng, N., Ying, H., Kim, M., Giuliani, V., Genovese, G., Zhang, J., Futreal, A., Maitra, A., Heffernan, T., Wang, L., Do, K.A., Gargiulo, G., Draetta, G., Carugo, A., Lin, R. and Viale, A. |
| Abstract: | Tumors represent ecosystems where subclones compete during tumor growth. While extensively investigated, a comprehensive picture of the interplay of clonal lineages during dissemination is still lacking. Using patient-derived pancreatic cancer cells, we created orthotopically implanted clonal replica tumors to trace clonal dynamics of unperturbed tumor expansion and dissemination. This model revealed the multifaceted nature of tumor growth, with rapid changes in clonal fitness leading to continuous reshuffling of tumor architecture and alternating clonal dominance as a distinct feature of cancer growth. Regarding dissemination, a large fraction of tumor lineages could be found at secondary sites each having distinctive organ growth patterns as well as numerous undescribed behaviors such as abortive colonization. Paired analysis of primary and secondary sites revealed fitness as major contributor to dissemination. From the analysis of pro- and nonmetastatic isogenic subclones, we identified a transcriptomic signature able to identify metastatic cells in human tumors and predict patients' survival. |
| Keywords: | Ecosystem, Gene Expression Profiling, Pancreatic Neoplasms, Transcriptome |
| Source: | Science Advances |
| ISSN: | 2375-2548 |
| Publisher: | American Association for the Advancement of Science |
| Volume: | 10 |
| Number: | 11 |
| Page Range: | eadd9342 |
| Date: | 15 March 2024 |
| Official Publication: | https://doi.org/10.1126/sciadv.add9342 |
| PubMed: | View item in PubMed |
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