Identification of A Methylation Panel Aid in Risk Stratification in Node-positive Penile Squamous Cell Carcinoma.

Clicks: 178
ID: 204864
2020
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Molecular prognostic factors for individualized treatment of Squamous Cell Carcinoma (SCC) are poorly defined. This study developed and validated a novel molecular tools aid in pre- and post- inguinal lymphadenectomy risk stratification in node-positive penile SCC. Patients with node-positive penile SCC who underwent inguinal or ilioinguinal lymphadenectomy were divided into three cohorts: a discovery set, a development set and a validation set. The local ethics committee approved the study. The primary endpoint was cancer-specific survival (CSS). At the discovery stage, 17 CpG sites were significantly associated with CSS. In the development set, we constructed a 3-CpG-based prognostic score for survival prediction. The hazard ratio (HR) of the panel (dichotomized using the optimal cutoff) was 5.8 in the multivariate analyses (p<0.001). The addition of the methylation score significantly improved the pN-stage C-index from 0.70 to 0.79 (incremental C=0.09, p<0.001). In the validation set, the methylation panel showed a HR of 9.9 in the multivariate analyses. The addition of the molecular marker improved the pN-stage C-index from 0.69 to 0.78 (incremental C=0.09, p<0.001). The methylation score remarkably separated survival curves in different pN stages, which indicate the tool can be applied to tailor the treatment in both pre- and post- inguinal lymphadenectomy settings. We developed and validated a prognostic methylation panel for node-positive penile SCC. The tool may aid in the risk stratification of the population with heterogeneous outcomes and needs prospective validation. Patients in high risk group may benefit from more aggressive therapy or clinical trials.
Reference Key
gu2020identificationinternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Gu, Weijie;Wan, Fangning;Chen, Jun;Gan, Hualei;Wang, Beihe;Wei, Yu;Zhang, Guiming;Zhou, Jiaquan;Ding, Xuefei;Zhang, Peipei;Jin, Shengming;Xu, Qinghua;Ye, Dingwei;Zhu, Yao;
Journal International journal of cancer
Year 2020
DOI
10.1002/ijc.33355
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.