eLife

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1. We couldn't get details of this article at this time:
   10.1101/2024.05.01.592016

2. We couldn't get details of this article at this time:
   10.1101/2024.04.23.590724

3. Conditional Survival and Nomogram for Elderly Non-Metastatic Colon Cancer Patients Following Colectomy

   This article has 6 authors:

   1. Yadong Gao
   2. Huimin Wang
   3. Yi Zhang
   4. Jing Zhao
   5. Sujuan Feng
   6. Jianwei Qiu

   This article has been curated by 1 group:

   • Curated by eLife

     eLife assessment

     This useful work provides a risk-prediction tool, in the form of a nomogram, for practitioners and elderly patients with non-metastatic colon cancer using data from the SEER registry. The unique contribution of this work is the focus on conditional survival. However, the underlying statistical approach is suboptimal and therefore incomplete, which substantially lessens the potential impact of this work. The analysis could use a more rigorous consideration of competing risks.

   Reviewed by eLife

4. We couldn't get details of this article at this time:
   10.1101/2024.03.26.586829

5. Timing of treatment shapes the path to androgen receptor signaling inhibitor resistance in prostate cancer

   This article has 11 authors:

   1. Eugine Lee
   2. Zeda Zhang
   3. Chi-Chao Chen
   4. Danielle Choi
   5. Aura C. Agudelo Rivera
   6. Eliot Linton
   7. Yu-jui Ho
   8. Jillian Love
   9. Justin LaClair
   10. John Wongvipat
   11. Charles L. Sawyers

   This article has been curated by 1 group:

   • Curated by eLife

     eLife assessment

     This important study provides new insight into the dynamics that underlie the development of therapy resistance in prostate cancer by revealing that divergent tumor evolutionary paths occur in response to different treatment timing and that these converge on common resistance mechanisms. The use of barcoded lineage tracing and characterization of isolated tumor clonal populations provides compelling evidence supporting the importance of clonal dynamics in a tumor ecosystem for treatment resistance. Several open questions remain, however, raising the possibility of alternative interpretations of the data set in its current form. Overall, the findings deepen our understanding of prostate cancer evolution and hold promising implications for how drug resistance can be addressed or prevented.

   Reviewed by eLife

6. We couldn't get details of this article at this time:
   10.1101/2024.03.30.587418

7. We couldn't get details of this article at this time:
   10.1101/2023.08.23.554484

8. We couldn't get details of this article at this time:
   10.1101/2022.05.13.491826

9. We couldn't get details of this article at this time:
   10.1101/2024.04.17.589855

10. We couldn't get details of this article at this time:
    10.1101/2024.04.12.589161