Impact of Body Mass Index, Age, Prostate Volume, and Genetic Polymorphisms on Prostate-specific Antigen Levels in a Control Population
Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the prese...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Cornu, Jean-Nicolas [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Schlagwörter: |
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| Umfang: |
3 |
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| Übergeordnetes Werk: |
Enthalten in: Phase transition and alternation in a model of perceptual bistability in the presence of Lévy noise - Feng, Jing ELSEVIER, 2018, official organ of the European Association of Urology, the European Organization for Research and Treatment of Cancer - Genito-Urinary Group, the European Society for Urological Oncology and Endocrinology, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:70 ; year:2016 ; number:1 ; pages:6-8 ; extent:3 |
| Links: |
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| DOI / URN: |
10.1016/j.eururo.2016.01.027 |
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| 520 | |a Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. | ||
| 520 | |a Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. | ||
| 650 | 7 | |a Single-nucleotide polymorphisms |2 Elsevier | |
| 650 | 7 | |a Prostate-specific antigen |2 Elsevier | |
| 650 | 7 | |a Prostate cancer |2 Elsevier | |
| 700 | 1 | |a Cancel-Tassin, Geraldine |4 oth | |
| 700 | 1 | |a Cox, David G. |4 oth | |
| 700 | 1 | |a Roupret, Morgan |4 oth | |
| 700 | 1 | |a Koutlidis, Nicolas |4 oth | |
| 700 | 1 | |a Bigot, Pierre |4 oth | |
| 700 | 1 | |a Valeri, Antoine |4 oth | |
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| 700 | 1 | |a Gaffory, Cécile |4 oth | |
| 700 | 1 | |a Fournier, Georges |4 oth | |
| 700 | 1 | |a Azzouzi, Abdel-Rahmene |4 oth | |
| 700 | 1 | |a Cormier, Luc |4 oth | |
| 700 | 1 | |a Cussenot, Olivier |4 oth | |
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10.1016/j.eururo.2016.01.027 doi GBVA2016010000005.pica (DE-627)ELV019336403 (ELSEVIER)S0302-2838(16)00129-9 DE-627 ger DE-627 rakwb eng 610 610 DE-600 500 VZ 33.25 bkl 31.00 bkl Cornu, Jean-Nicolas verfasserin aut Impact of Body Mass Index, Age, Prostate Volume, and Genetic Polymorphisms on Prostate-specific Antigen Levels in a Control Population 2016transfer abstract 3 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. Single-nucleotide polymorphisms Elsevier Prostate-specific antigen Elsevier Prostate cancer Elsevier Cancel-Tassin, Geraldine oth Cox, David G. oth Roupret, Morgan oth Koutlidis, Nicolas oth Bigot, Pierre oth Valeri, Antoine oth Ondet, Valerie oth Gaffory, Cécile oth Fournier, Georges oth Azzouzi, Abdel-Rahmene oth Cormier, Luc oth Cussenot, Olivier oth Enthalten in Elsevier Science Feng, Jing ELSEVIER Phase transition and alternation in a model of perceptual bistability in the presence of Lévy noise 2018 official organ of the European Association of Urology, the European Organization for Research and Treatment of Cancer - Genito-Urinary Group, the European Society for Urological Oncology and Endocrinology Amsterdam [u.a.] (DE-627)ELV000464341 volume:70 year:2016 number:1 pages:6-8 extent:3 https://doi.org/10.1016/j.eururo.2016.01.027 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 33.25 Thermodynamik statistische Physik VZ 31.00 Mathematik: Allgemeines VZ AR 70 2016 1 6-8 3 045F 610 |
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10.1016/j.eururo.2016.01.027 doi GBVA2016010000005.pica (DE-627)ELV019336403 (ELSEVIER)S0302-2838(16)00129-9 DE-627 ger DE-627 rakwb eng 610 610 DE-600 500 VZ 33.25 bkl 31.00 bkl Cornu, Jean-Nicolas verfasserin aut Impact of Body Mass Index, Age, Prostate Volume, and Genetic Polymorphisms on Prostate-specific Antigen Levels in a Control Population 2016transfer abstract 3 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. Single-nucleotide polymorphisms Elsevier Prostate-specific antigen Elsevier Prostate cancer Elsevier Cancel-Tassin, Geraldine oth Cox, David G. oth Roupret, Morgan oth Koutlidis, Nicolas oth Bigot, Pierre oth Valeri, Antoine oth Ondet, Valerie oth Gaffory, Cécile oth Fournier, Georges oth Azzouzi, Abdel-Rahmene oth Cormier, Luc oth Cussenot, Olivier oth Enthalten in Elsevier Science Feng, Jing ELSEVIER Phase transition and alternation in a model of perceptual bistability in the presence of Lévy noise 2018 official organ of the European Association of Urology, the European Organization for Research and Treatment of Cancer - Genito-Urinary Group, the European Society for Urological Oncology and Endocrinology Amsterdam [u.a.] (DE-627)ELV000464341 volume:70 year:2016 number:1 pages:6-8 extent:3 https://doi.org/10.1016/j.eururo.2016.01.027 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 33.25 Thermodynamik statistische Physik VZ 31.00 Mathematik: Allgemeines VZ AR 70 2016 1 6-8 3 045F 610 |
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10.1016/j.eururo.2016.01.027 doi GBVA2016010000005.pica (DE-627)ELV019336403 (ELSEVIER)S0302-2838(16)00129-9 DE-627 ger DE-627 rakwb eng 610 610 DE-600 500 VZ 33.25 bkl 31.00 bkl Cornu, Jean-Nicolas verfasserin aut Impact of Body Mass Index, Age, Prostate Volume, and Genetic Polymorphisms on Prostate-specific Antigen Levels in a Control Population 2016transfer abstract 3 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. Single-nucleotide polymorphisms Elsevier Prostate-specific antigen Elsevier Prostate cancer Elsevier Cancel-Tassin, Geraldine oth Cox, David G. oth Roupret, Morgan oth Koutlidis, Nicolas oth Bigot, Pierre oth Valeri, Antoine oth Ondet, Valerie oth Gaffory, Cécile oth Fournier, Georges oth Azzouzi, Abdel-Rahmene oth Cormier, Luc oth Cussenot, Olivier oth Enthalten in Elsevier Science Feng, Jing ELSEVIER Phase transition and alternation in a model of perceptual bistability in the presence of Lévy noise 2018 official organ of the European Association of Urology, the European Organization for Research and Treatment of Cancer - Genito-Urinary Group, the European Society for Urological Oncology and Endocrinology Amsterdam [u.a.] (DE-627)ELV000464341 volume:70 year:2016 number:1 pages:6-8 extent:3 https://doi.org/10.1016/j.eururo.2016.01.027 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 33.25 Thermodynamik statistische Physik VZ 31.00 Mathematik: Allgemeines VZ AR 70 2016 1 6-8 3 045F 610 |
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10.1016/j.eururo.2016.01.027 doi GBVA2016010000005.pica (DE-627)ELV019336403 (ELSEVIER)S0302-2838(16)00129-9 DE-627 ger DE-627 rakwb eng 610 610 DE-600 500 VZ 33.25 bkl 31.00 bkl Cornu, Jean-Nicolas verfasserin aut Impact of Body Mass Index, Age, Prostate Volume, and Genetic Polymorphisms on Prostate-specific Antigen Levels in a Control Population 2016transfer abstract 3 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. Single-nucleotide polymorphisms Elsevier Prostate-specific antigen Elsevier Prostate cancer Elsevier Cancel-Tassin, Geraldine oth Cox, David G. oth Roupret, Morgan oth Koutlidis, Nicolas oth Bigot, Pierre oth Valeri, Antoine oth Ondet, Valerie oth Gaffory, Cécile oth Fournier, Georges oth Azzouzi, Abdel-Rahmene oth Cormier, Luc oth Cussenot, Olivier oth Enthalten in Elsevier Science Feng, Jing ELSEVIER Phase transition and alternation in a model of perceptual bistability in the presence of Lévy noise 2018 official organ of the European Association of Urology, the European Organization for Research and Treatment of Cancer - Genito-Urinary Group, the European Society for Urological Oncology and Endocrinology Amsterdam [u.a.] (DE-627)ELV000464341 volume:70 year:2016 number:1 pages:6-8 extent:3 https://doi.org/10.1016/j.eururo.2016.01.027 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 33.25 Thermodynamik statistische Physik VZ 31.00 Mathematik: Allgemeines VZ AR 70 2016 1 6-8 3 045F 610 |
| allfieldsSound |
10.1016/j.eururo.2016.01.027 doi GBVA2016010000005.pica (DE-627)ELV019336403 (ELSEVIER)S0302-2838(16)00129-9 DE-627 ger DE-627 rakwb eng 610 610 DE-600 500 VZ 33.25 bkl 31.00 bkl Cornu, Jean-Nicolas verfasserin aut Impact of Body Mass Index, Age, Prostate Volume, and Genetic Polymorphisms on Prostate-specific Antigen Levels in a Control Population 2016transfer abstract 3 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. Single-nucleotide polymorphisms Elsevier Prostate-specific antigen Elsevier Prostate cancer Elsevier Cancel-Tassin, Geraldine oth Cox, David G. oth Roupret, Morgan oth Koutlidis, Nicolas oth Bigot, Pierre oth Valeri, Antoine oth Ondet, Valerie oth Gaffory, Cécile oth Fournier, Georges oth Azzouzi, Abdel-Rahmene oth Cormier, Luc oth Cussenot, Olivier oth Enthalten in Elsevier Science Feng, Jing ELSEVIER Phase transition and alternation in a model of perceptual bistability in the presence of Lévy noise 2018 official organ of the European Association of Urology, the European Organization for Research and Treatment of Cancer - Genito-Urinary Group, the European Society for Urological Oncology and Endocrinology Amsterdam [u.a.] (DE-627)ELV000464341 volume:70 year:2016 number:1 pages:6-8 extent:3 https://doi.org/10.1016/j.eururo.2016.01.027 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 33.25 Thermodynamik statistische Physik VZ 31.00 Mathematik: Allgemeines VZ AR 70 2016 1 6-8 3 045F 610 |
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impact of body mass index, age, prostate volume, and genetic polymorphisms on prostate-specific antigen levels in a control population |
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Impact of Body Mass Index, Age, Prostate Volume, and Genetic Polymorphisms on Prostate-specific Antigen Levels in a Control Population |
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Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. |
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Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. |
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Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. |
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These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms—rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)—on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Single-nucleotide polymorphisms</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Prostate-specific antigen</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Prostate cancer</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cancel-Tassin, Geraldine</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cox, David G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Roupret, Morgan</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Koutlidis, Nicolas</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bigot, Pierre</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Valeri, Antoine</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ondet, Valerie</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gaffory, Cécile</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fournier, Georges</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Azzouzi, Abdel-Rahmene</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cormier, Luc</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cussenot, Olivier</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Feng, Jing ELSEVIER</subfield><subfield code="t">Phase transition and alternation in a model of perceptual bistability in the presence of Lévy noise</subfield><subfield code="d">2018</subfield><subfield code="d">official organ of the European Association of Urology, the European Organization for Research and Treatment of Cancer - Genito-Urinary Group, the European Society for Urological Oncology and Endocrinology</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV000464341</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:70</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:6-8</subfield><subfield code="g">extent:3</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.eururo.2016.01.027</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">33.25</subfield><subfield code="j">Thermodynamik</subfield><subfield code="j">statistische Physik</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">31.00</subfield><subfield code="j">Mathematik: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">70</subfield><subfield code="j">2016</subfield><subfield code="e">1</subfield><subfield code="h">6-8</subfield><subfield code="g">3</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">610</subfield></datafield></record></collection>
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