谷歌浏览器插件
订阅小程序
在清言上使用

Pathology Data-Based Risk Group Stratification Is Equivalent to That Obtained by Oncotype DX Testing in Prostatic Adenocarcinoma

MODERN PATHOLOGY(2023)

引用 0|浏览13
暂无评分
摘要
Context.-Low-risk (Gleason score 3 + 3 = 6) and intermediate-risk (Gleason score 3 + 4 = 7) prostate carcinoma cases diagnosed on needle biopsies are fre-quently referred for gene expression studies such as Oncotype DX to help validate the risk. Risk assessment helps in determining prognosis and therapeutic decision making.Objective.-To determine if addition of molecular testing is necessary, by evaluating its correlation with risk stratification provided by pathology report (Gleason score, Grade Group, proportion of positive cores) and serum prostate-specific antigen (PSA) level.Design.-Our institutional database was searched for cases that had Oncotype DX testing after prostate biopsy. The final risk category determined by molecular testing was compared to the risk stratification predicted by the pathology report and serum PSA levels. Cases were classified as concordant if they fell under the same National Comprehensive Cancer Network risk and recom-mended initial therapy group. Follow-up information on discordant cases was obtained and used to determine if risk stratification by molecular testing was superior to that obtained from the clinicopathologic data.Results.-A total of 4967 prostate biopsies (2015-2020) were screened. Of these, 131 prostate carcinoma cases (2.6%) had Oncotype DX testing and 111 of 131 cases (85%) had follow-up information. There was risk stratifi-cation concordance in 93 of 111 cases (84%). All 18 of 111 cases (16%) that were discordant had a follow-up course that matched the risk predicted by pathology data and serum PSA.Conclusions.-Risk stratification provided by informa-tion in the pathology report on routine biopsy assessment coupled with the serum PSA level is equivalent to that obtained by Oncotype DX testing.
更多
查看译文
关键词
risk group stratification,prostatic adenocarcinoma,oncotype dx testing,pathology,data-based
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要