Your browser doesn't support javascript.
loading
Preliminary effects of risk-adapted PSA screening for prostate cancer after integrating PRS-specific and age-specific variation.
Liu, Xiaomin; Duan, Hongyuan; Liu, Siwen; Zhang, Yunmeng; Ji, Yuting; Zhang, Yacong; Feng, Zhuowei; Li, Jingjing; Liu, Ya; Gao, Ying; Wang, Xing; Zhang, Qing; Yang, Lei; Dai, Hongji; Lyu, Zhangyan; Song, Fangfang; Song, Fengju; Huang, Yubei.
Affiliation
  • Liu X; Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Duan H; Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Liu S; Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Zhang Y; Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Ji Y; Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Zhang Y; Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
  • Feng Z; Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Li J; Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Liu Y; Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Gao Y; Health Management Center, Tianjin Medical University General Hospital, Tianjin, China.
  • Wang X; Health Management Center, Tianjin Medical University General Hospital, Tianjin, China.
  • Zhang Q; Health Management Center, Tianjin Medical University General Hospital, Tianjin, China.
  • Yang L; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital and Institute, Beijing, China.
  • Dai H; Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Lyu Z; Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Song F; Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Song F; Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Huang Y; Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Front Genet ; 15: 1387588, 2024.
Article in En | MEDLINE | ID: mdl-39149591
ABSTRACT

Background:

Although the risk of prostate cancer (PCa) varies across different ages and genetic risks, it's unclear about the effects of genetic-specific and age-specific prostate-specific antigen (PSA) screening for PCa.

Methods:

Weighed and unweighted polygenic risk scores (PRS) were constructed to classify the participants from the PLCO trial into low- or high-PRS groups. The age-specific and PRS-specific cut-off values of PSA for PCa screening were determined with time-dependent receiver-operating-characteristic curves and area-under-curves (tdAUCs). Improved screening strategies integrating PRS-specific and age-specific cut-off values of PSA were compared to traditional PSA screening on accuracy, detection rates of high-grade PCa (Gleason score ≥7), and false positive rate.

Results:

Weighted PRS with 80 SNPs significantly associated with PCa was determined as the optimal PRS, with an AUC of 0.631. After stratifying by PRS, the tdAUCs of PSA with a 10-year risk of PCa were 0.818 and 0.816 for low- and high-PRS groups, whereas the cut-off values were 1.42 and 1.62 ng/mL, respectively. After further stratifying by age, the age-specific cut-off values of PSA were relatively lower for low PRS (1.42, 1.65, 1.60, and 2.24 ng/mL for aged <60, 60-64, 65-69, and ≥70 years) than high PRS (1.48, 1.47, 1.89, and 2.72 ng/mL). Further analyses showed an obvious interaction of positive PSA and high PRS on PCa incidence and mortality. Very small difference in PCa risk were observed among subgroups with PSA (-) across different age and PRS, and PCa incidence and mortality with PSA (+) significantly increased as age and PRS, with highest risk for high-PRS/PSA (+) in participants aged ≥70 years [HRs (95%CI) 16.00 (12.62-20.29) and 19.48 (9.26-40.96)]. The recommended screening strategy reduced 12.8% of missed PCa, ensured high specificity, but not caused excessive false positives than traditional PSA screening.

Conclusion:

Risk-adapted screening integrating PRS-specific and age-specific cut-off values of PSA would be more effective than traditional PSA screening.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Genet Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Genet Year: 2024 Document type: Article Affiliation country: Country of publication: