对接受积极监测的局部前列腺癌男性患者进行基于血液的鞘磷脂预后面板验证。

IF 9.5 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Justin R Gregg, Lisa Newcomb, Ranran Wu, Jennifer Dennison, John W Davis, Curtis Pettaway, Louis Pisters, John F Ward, Brian F Chapin, Lisly Chéry, Ahmet Urkmez, Andrew M Fang, Noel Higgason, Patricia Troncoso, Carrie R Daniel, Christopher Logothetis, Timothy C Thompson, Andrew W Hahn, Menghan Liu, Yingye Zheng, Dan W Lin, Samir Hanash, Ehsan Irajizad, Johannes Fahrmann
{"title":"对接受积极监测的局部前列腺癌男性患者进行基于血液的鞘磷脂预后面板验证。","authors":"Justin R Gregg, Lisa Newcomb, Ranran Wu, Jennifer Dennison, John W Davis, Curtis Pettaway, Louis Pisters, John F Ward, Brian F Chapin, Lisly Chéry, Ahmet Urkmez, Andrew M Fang, Noel Higgason, Patricia Troncoso, Carrie R Daniel, Christopher Logothetis, Timothy C Thompson, Andrew W Hahn, Menghan Liu, Yingye Zheng, Dan W Lin, Samir Hanash, Ehsan Irajizad, Johannes Fahrmann","doi":"10.1186/s40364-024-00678-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>We previously reported that increases in circulating sphingolipids are associated with elevated risk of biopsy Gleason grade group (GG) upgrading in men on Active Surveillance (AS) for prostate cancer. Here, we aimed to validate these findings and establish a blood-based sphingolipid biomarker panel for identifying men on AS who are at high-risk of biopsy GG upgrading.</p><p><strong>Methods: </strong>Men diagnosed with low- or intermediate-risk prostate cancer in one of two AS cohorts (CANARY PASS and MDACC) were followed for GG upgrading after diagnostic and confirmatory biopsy. The PASS cohort consisted of 544 patients whereas the MDACC Cohort consisted of 697 patients. The number of patients with GG upgrading during course of study follow-up in the PASS and MDACC cohorts were 98 (17.7%) and 133 (19.1%), respectively. Plasmas collected prior to confirmatory biopsy were used for mass spectrometry-based quantitation of 87 unique sphingolipid species. A neural network layer based on 21 sphingolipids was developed in the CANARY PASS cohort for predicting biopsy GG upgrading. Tertile-based thresholds for low-, intermediate-, and high-risk strata were subsequently developed for the sphingolipid panel as well as a model that combined the sphingolipid panel with PSA density and rate of core positivity on diagnostic biopsy. The resultant models and risk thresholds for GG upgrading were validated in the MDACC cohort. Performance was assessed using Cox proportional hazard models, C-index, AUC, and cumulative incidence curves.</p><p><strong>Results: </strong>The sphingolipid panel had a HR (per unit standard deviation increase) of 1.36 (95% CI: 1.07-1.70) and 1.35 (95% CI: 1.11-1.64) for predicting GG biopsy upgrading in the PASS and MDACC cohort, respectively. The model that combined the sphingolipid panel with PSA density and rate of core positivity achieved a HR of 1.63 (95% CI: 1.33-2.00) and 1.44 (1.25-1.66), respectively. Tertile-based thresholds, established in the PASS cohort, were applied to the independent MDACC cohort. Compared to the low-risk group, MDACC patients in the high-risk strata had a GG biopsy upgrade HR of 3.65 (95% CI: 2.21-6.02), capturing 50% of the patients that had biopsy upgrading during study follow-up.</p><p><strong>Conclusions: </strong>The sphingolipid panel is independently associated with GG biopsy upgrading among men in two independent AS cohorts who have previously undergone diagnostic and confirmatory biopsy. The sphingolipid panel, together with clinical factors, provides a potential means for risk stratification to better guide clinical management of men on AS.</p>","PeriodicalId":54225,"journal":{"name":"Biomarker Research","volume":"12 1","pages":"134"},"PeriodicalIF":9.5000,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11550521/pdf/","citationCount":"0","resultStr":"{\"title\":\"Validation of a prognostic blood-based sphingolipid panel for men with localized prostate cancer followed on active surveillance.\",\"authors\":\"Justin R Gregg, Lisa Newcomb, Ranran Wu, Jennifer Dennison, John W Davis, Curtis Pettaway, Louis Pisters, John F Ward, Brian F Chapin, Lisly Chéry, Ahmet Urkmez, Andrew M Fang, Noel Higgason, Patricia Troncoso, Carrie R Daniel, Christopher Logothetis, Timothy C Thompson, Andrew W Hahn, Menghan Liu, Yingye Zheng, Dan W Lin, Samir Hanash, Ehsan Irajizad, Johannes Fahrmann\",\"doi\":\"10.1186/s40364-024-00678-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>We previously reported that increases in circulating sphingolipids are associated with elevated risk of biopsy Gleason grade group (GG) upgrading in men on Active Surveillance (AS) for prostate cancer. Here, we aimed to validate these findings and establish a blood-based sphingolipid biomarker panel for identifying men on AS who are at high-risk of biopsy GG upgrading.</p><p><strong>Methods: </strong>Men diagnosed with low- or intermediate-risk prostate cancer in one of two AS cohorts (CANARY PASS and MDACC) were followed for GG upgrading after diagnostic and confirmatory biopsy. The PASS cohort consisted of 544 patients whereas the MDACC Cohort consisted of 697 patients. The number of patients with GG upgrading during course of study follow-up in the PASS and MDACC cohorts were 98 (17.7%) and 133 (19.1%), respectively. Plasmas collected prior to confirmatory biopsy were used for mass spectrometry-based quantitation of 87 unique sphingolipid species. A neural network layer based on 21 sphingolipids was developed in the CANARY PASS cohort for predicting biopsy GG upgrading. Tertile-based thresholds for low-, intermediate-, and high-risk strata were subsequently developed for the sphingolipid panel as well as a model that combined the sphingolipid panel with PSA density and rate of core positivity on diagnostic biopsy. The resultant models and risk thresholds for GG upgrading were validated in the MDACC cohort. Performance was assessed using Cox proportional hazard models, C-index, AUC, and cumulative incidence curves.</p><p><strong>Results: </strong>The sphingolipid panel had a HR (per unit standard deviation increase) of 1.36 (95% CI: 1.07-1.70) and 1.35 (95% CI: 1.11-1.64) for predicting GG biopsy upgrading in the PASS and MDACC cohort, respectively. The model that combined the sphingolipid panel with PSA density and rate of core positivity achieved a HR of 1.63 (95% CI: 1.33-2.00) and 1.44 (1.25-1.66), respectively. Tertile-based thresholds, established in the PASS cohort, were applied to the independent MDACC cohort. Compared to the low-risk group, MDACC patients in the high-risk strata had a GG biopsy upgrade HR of 3.65 (95% CI: 2.21-6.02), capturing 50% of the patients that had biopsy upgrading during study follow-up.</p><p><strong>Conclusions: </strong>The sphingolipid panel is independently associated with GG biopsy upgrading among men in two independent AS cohorts who have previously undergone diagnostic and confirmatory biopsy. The sphingolipid panel, together with clinical factors, provides a potential means for risk stratification to better guide clinical management of men on AS.</p>\",\"PeriodicalId\":54225,\"journal\":{\"name\":\"Biomarker Research\",\"volume\":\"12 1\",\"pages\":\"134\"},\"PeriodicalIF\":9.5000,\"publicationDate\":\"2024-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11550521/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomarker Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s40364-024-00678-7\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarker Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40364-024-00678-7","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

背景:我们以前曾报道过,循环鞘脂的增加与前列腺癌主动监测(AS)男性活检格里森等级组(GG)升级风险的升高有关。在此,我们旨在验证这些研究结果,并建立一个基于血液的鞘脂生物标志物面板,用于识别接受主动监测的男性中活检GG升级的高风险人群:在两个AS队列(CANARY PASS和MDACC)中的一个队列中诊断出患有低危或中危前列腺癌的男性,在诊断性活检和确诊性活检后对其进行了GG升级随访。PASS队列由544名患者组成,而MDACC队列由697名患者组成。在研究随访期间,PASS 和 MDACC 队列中 GG 升级的患者人数分别为 98 人(17.7%)和 133 人(19.1%)。在确诊活检前收集的血浆被用于对87种独特的鞘脂进行质谱定量。在CANARY PASS队列中开发了一个基于21种鞘脂类的神经网络层,用于预测活检GG的升级。随后,针对鞘脂小组开发了基于梯度的低、中、高风险阶层阈值,以及将鞘脂小组与 PSA 密度和诊断性活检核心阳性率相结合的模型。在 MDACC 队列中验证了由此产生的模型和 GG 升级风险阈值。使用Cox比例危险模型、C指数、AUC和累积发病率曲线对结果进行评估:在PASS和MDACC队列中,鞘脂小组预测GG活检升级的HR(单位标准差增加)分别为1.36(95% CI:1.07-1.70)和1.35(95% CI:1.11-1.64)。将鞘脂小组与PSA密度和核心阳性率相结合的模型的HR分别为1.63(95% CI:1.33-2.00)和1.44(1.25-1.66)。在PASS队列中建立的基于三位数的阈值被应用于独立的MDACC队列。与低风险组相比,MDACC高风险组患者的GG活检升级HR为3.65(95% CI:2.21-6.02),占研究随访期间活检升级患者的50%:在两个独立的强直性脊柱炎队列中,既往接受过诊断性活检和确诊性活检的男性患者中,鞘脂小组与GG活检升级具有独立相关性。鞘脂小组与临床因素一起为风险分层提供了一种潜在的方法,可以更好地指导男性强直性脊柱炎患者的临床治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of a prognostic blood-based sphingolipid panel for men with localized prostate cancer followed on active surveillance.

Background: We previously reported that increases in circulating sphingolipids are associated with elevated risk of biopsy Gleason grade group (GG) upgrading in men on Active Surveillance (AS) for prostate cancer. Here, we aimed to validate these findings and establish a blood-based sphingolipid biomarker panel for identifying men on AS who are at high-risk of biopsy GG upgrading.

Methods: Men diagnosed with low- or intermediate-risk prostate cancer in one of two AS cohorts (CANARY PASS and MDACC) were followed for GG upgrading after diagnostic and confirmatory biopsy. The PASS cohort consisted of 544 patients whereas the MDACC Cohort consisted of 697 patients. The number of patients with GG upgrading during course of study follow-up in the PASS and MDACC cohorts were 98 (17.7%) and 133 (19.1%), respectively. Plasmas collected prior to confirmatory biopsy were used for mass spectrometry-based quantitation of 87 unique sphingolipid species. A neural network layer based on 21 sphingolipids was developed in the CANARY PASS cohort for predicting biopsy GG upgrading. Tertile-based thresholds for low-, intermediate-, and high-risk strata were subsequently developed for the sphingolipid panel as well as a model that combined the sphingolipid panel with PSA density and rate of core positivity on diagnostic biopsy. The resultant models and risk thresholds for GG upgrading were validated in the MDACC cohort. Performance was assessed using Cox proportional hazard models, C-index, AUC, and cumulative incidence curves.

Results: The sphingolipid panel had a HR (per unit standard deviation increase) of 1.36 (95% CI: 1.07-1.70) and 1.35 (95% CI: 1.11-1.64) for predicting GG biopsy upgrading in the PASS and MDACC cohort, respectively. The model that combined the sphingolipid panel with PSA density and rate of core positivity achieved a HR of 1.63 (95% CI: 1.33-2.00) and 1.44 (1.25-1.66), respectively. Tertile-based thresholds, established in the PASS cohort, were applied to the independent MDACC cohort. Compared to the low-risk group, MDACC patients in the high-risk strata had a GG biopsy upgrade HR of 3.65 (95% CI: 2.21-6.02), capturing 50% of the patients that had biopsy upgrading during study follow-up.

Conclusions: The sphingolipid panel is independently associated with GG biopsy upgrading among men in two independent AS cohorts who have previously undergone diagnostic and confirmatory biopsy. The sphingolipid panel, together with clinical factors, provides a potential means for risk stratification to better guide clinical management of men on AS.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Biomarker Research
Biomarker Research Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍: Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信