Predicting the risk of prostate cancer recurrence through the lens of evolution
Author:
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s43018-024-00792-3.pdf
Reference5 articles.
1. Zelic, R. et al. Predicting prostate cancer death with different pretreatment risk stratification tools: a head-to-head comparison in a nationwide cohort study. Eur. Urol. 77, 180–188 (2020). This paper assesses the predictive accuracy of many of the current prostate cancer risk-stratification systems.
2. Maley, C. C. et al. Genetic clonal diversity predicts progression to esophageal adenocarcinoma. Nat. Genet. 38, 468–473 (2006). This paper shows evolutionary metrics as predictors of risk in esophageal adenocarcinoma.
3. Turajlic, S. et al. Tracking cancer evolution reveals constrained routes to metastases: TRACERx renal. Cell 173, 581–594 (2018). This paper shows evolutionary metrics as predictors of metastasis in clear-cell renal cell carcinoma.
4. Ferreira, M. R. et al. Phase 1/2 dose-escalation study of the use of intensity modulated radiation therapy to treat the prostate and pelvic nodes in patients with prostate cancer. Int. J. Radiat. Oncol. 99, 1234–1242 (2017). This paper reports the results of the intensity-modulated radiotherapy clinical trial on which our analysis was based.
5. Watts, E. L. et al. Low free testosterone and prostate cancer risk: a collaborative analysis of 20 prospective studies. Eur. Urol. 74, 585–594 (2018). This paper reports associations between free testosterone levels and prostate cancer risk.
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