| 1. |
- Wang, Anqi, et al.
(författare)
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Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants
- 2023
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Ingår i: Nature Genetics. - : Springer Nature. - 1061-4036 .- 1546-1718. ; 55:12, s. 2065-2074
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Tidskriftsartikel (refereegranskat)abstract
- The transferability and clinical value of genetic risk scores (GRSs) across populations remain limited due to an imbalance in genetic studies across ancestrally diverse populations. Here we conducted a multi-ancestry genome-wide association study of 156,319 prostate cancer cases and 788,443 controls of European, African, Asian and Hispanic men, reflecting a 57% increase in the number of non-European cases over previous prostate cancer genome-wide association studies. We identified 187 novel risk variants for prostate cancer, increasing the total number of risk variants to 451. An externally replicated multi-ancestry GRS was associated with risk that ranged from 1.8 (per standard deviation) in African ancestry men to 2.2 in European ancestry men. The GRS was associated with a greater risk of aggressive versus non-aggressive disease in men of African ancestry (P = 0.03). Our study presents novel prostate cancer susceptibility loci and a GRS with effective risk stratification across ancestry groups.
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| 2. |
- Conti, David, V, et al.
(författare)
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Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction
- 2021
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Ingår i: Nature Genetics. - : Springer Nature. - 1061-4036 .- 1546-1718. ; 53:1, s. 65-75
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Tidskriftsartikel (refereegranskat)abstract
- Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction. A meta-analysis of genome-wide association studies across different populations highlights new risk loci and provides a genetic risk score that can stratify prostate cancer risk across ancestries.
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| 3. |
- Barbieri, Christopher E., et al.
(författare)
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The Mutational Landscape of Prostate Cancer
- 2013
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Ingår i: European Urology. - : Elsevier BV. - 1873-7560 .- 0302-2838. ; 64:4, s. 567-576
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Forskningsöversikt (refereegranskat)abstract
- Context: Prostate cancer (PCa) is a clinically heterogeneous disease with marked variability in patient outcomes. Molecular characterization has revealed striking mutational heterogeneity that may underlie the variable clinical course of the disease. Objective: In this review, we discuss the common genomic alterations that form the molecular basis of PCa, their functional significance, and the potential to translate this knowledge into patient care. Evidence acquisition: We reviewed the relevant literature, with a particular focus on recent studies on somatic alterations in PCa. Evidence synthesis: Advances in sequencing technology have resulted in an explosion of data regarding the mutational events underlying the development and progression of PCa. Heterogeneity is the norm; few abnormalities in specific genes are highly recurrent, but alterations in certain signaling pathways do predominate. These alterations include those in pathways known to affect tumorigenesis in a wide spectrum of tissues, such as the phosphoinositide 3-kinase/phosphatase and tensin homolog/Akt pathway, cell cycle regulation, and chromatin regulation. Alterations more specific to PCa are also observed, particularly gene fusions of ETS transcription factors and alterations in androgen signaling. Mounting data suggest that PCa can be subdivided based on a molecular profile of genetic alterations. Conclusions: Major advances have been made in cataloging the genomic alterations in PCa and understanding the molecular mechanisms underlying the disease. These findings raise the possibility that PCa could soon transition from being a poorly understood, heterogeneous disease with a variable clinical course to being a collection of homogenous subtypes identifiable by molecular criteria, associated with distinct risk profiles, and perhaps amenable to specific management strategies or targeted therapies. (C) 2013 European Association of Urology. Published by Elsevier B.V. All rights reserved.
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| 4. |
- Johansson, Mattias, et al.
(författare)
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Implications for prostate cancer of insulin-like growth factor-I (IGF-I) genetic variation and circulating IGF-I levels
- 2007
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Ingår i: Journal of Clinical Endocrinology and Metabolism. - Umea Univ Hosp, Dept Surgical & Perioperative Sci, S-90185 Umea, Sweden. Umea Univ Hosp, Dept Urol Androl, S-90185 Umea, Sweden. Umea Univ Hosp, Dept Publ Hlth & Clin Med, S-90185 Umea, Sweden. Int Agcy Res Canc, F-69372 Lyon, France. Karolinska Inst, Dept Med Epidemiol & Biostat, S-17177 Stockholm, Sweden. Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, NL-85500 Utrecht, Netherlands. Harvard Univ, Dept Epidemiol, Boston, MA 02215 USA. German Canc Res Ctr, Div Canc Epidemiol, D-69120 Heidelberg, Germany. : ENDOCRINE SOC. - 0021-972X .- 1945-7197. ; 92:12, s. 4820-4826
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Tidskriftsartikel (refereegranskat)abstract
- Background: Elevated levels of circulating IGF-I have consistently been associated with increased prostate cancer risk. We recently found a haplotype in the 3 ' region of the IGF-I gene associated with increased risk of prostate cancer, and we hypothesized that the observed association is mediated by circulating IGF-I. Materials and Methods: We analyzed haplotypes and three haplotype-tagging single nucleotide polymorphisms (htSNPs) in the 3 ' region of the IGF-I gene in relation to circulating levels IGF-I in 698 control subjects from the CAncer Prostate in Sweden ( CAPS) study and 575 cases and controls from the prospective Northern Sweden Health and Disease Cohort ( NSHDC) study. We also performed a meta-analysis of these two and four other association studies on genetic variation in the 3 ' region of the IGF-I gene in relation to circulating IGF-I levels. Results: The IGF-I haplotype previously associated with prostate cancer risk, labeled "TCC," was associated with elevated levels of IGF-I in the CAPS study (P = 0.02), but not in the NSHDC study. In contrast, two of the three IGF-I htSNPs tagging this haplotype, rs6220 and rs7136446, were associated with elevated levels of IGF-I in the NSHDC ( P = 0.03 and P = 0.04, respectively), but not in the CAPS study. In the meta-analysis, the TCC haplotype and the rs6220 SNP were associated with elevated levels of circulating IGF-I ( P = 0.001 and P < 0.0001, respectively). Conclusions: Genetic variation in the 3 ' region of the IGF-I gene seems to influence circulating levels of IGF-I. This observation is consistent with the hypothesis that variation in the IGF-I gene plays a role in prostate cancer susceptibility by influencing circulating levels of IGF-I.
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| 5. |
- Mareschal, Sylvain, et al.
(författare)
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Challenging conventional karyotyping by next-generation karyotyping in 281 intensively treated patients with AML
- 2021
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Ingår i: Blood Advances. - : American Society of Hematology. - 2473-9529 .- 2473-9537. ; 5:4, s. 1003-1016
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Tidskriftsartikel (refereegranskat)abstract
- Although copy number alterations (CNAs) and translocations constitute the backbone of the diagnosis and prognostication of acute myeloid leukemia (AML), techniques used for their assessment in routine diagnostics have not been reconsidered for decades. We used a combination of 2 next-generation sequencing-based techniques to challenge the currently recommended conventional cytogenetic analysis (CCA), comparing the approaches in a series of 281 intensively treated patients with AML. Shallow whole-genome sequencing (sWGS) outperformed CCA in detecting European Leukemia Net (ELN)-defining CNAs and showed that CCA overestimated monosomies and suboptimally reported karyotype complexity. Still, the concordance between CCA and sWGS for all ELN CNA-related criteria was 94%. Moreover, using in silico dilution, we showed that 1 million reads per patient would be enough to accurately assess ELN-defining CNAs. Total genomic loss, defined as a total loss 200 Mb by sWGS, was found to be a better marker for genetic complexity and poor prognosis compared with the CCA-based definition of complex karyotype. For fusion detection, the concordance between CCA and whole-transcriptome sequencing (WTS) was 99%. WTS had better sensitivity in identifying inv(16) and KMT2A rearrangements while showing limitations in detecting lowly expressed PML-RARA fusions. Ligation-dependent reverse transcription polymerase chain reaction was used for validation and was shown to be a fast and reliable method for fusion detection. We conclude that a next-generation sequencing-based approach can replace conventional CCA for karyotyping, provided that efforts are made to cover lowly expressed fusion transcripts.
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| 6. |
- Schumacher, Fredrick R., et al.
(författare)
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Genome-wide association study identifies new prostate cancer susceptibility loci
- 2011
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Ingår i: Human Molecular Genetics. - London : IRL Press. - 0964-6906 .- 1460-2083. ; 20:19, s. 3867-3875
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Tidskriftsartikel (refereegranskat)abstract
- Prostate cancer (PrCa) is the most common non-skin cancer diagnosed among males in developed countries and the second leading cause of cancer mortality, yet little is known regarding its etiology and factors that influence clinical outcome. Genome-wide association studies (GWAS) of PrCa have identified at least 30 distinct loci associated with small differences in risk. We conducted a GWAS in 2782 advanced PrCa cases (Gleason grade >= 8 or tumor stage C/D) and 4458 controls with 571 243 single nucleotide polymorphisms (SNPs). Based on in silico replication of 4679 SNPs (Stage 1, P < 0.02) in two published GWAS with 7358 PrCa cases and 6732 controls, we identified a new susceptibility locus associated with overall PrCa risk at 2q37.3 (rs2292884, P = 4.3 x 10(-8)). We also confirmed a locus suggested by an earlier GWAS at 12q13 (rs902774, P = 8.6 x 10(-9)). The estimated per-allele odds ratios for these loci (1.14 for rs2292884 and 1.17 for rs902774) did not differ between advanced and non-advanced PrCa (case-only test for heterogeneity P = 0.72 and P = 0.61, respectively). Further studies will be needed to assess whether these or other loci are differentially associated with PrCa subtypes.
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| 7. |
- Strom, Peter, et al.
(författare)
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Artificial intelligence for diagnosis and grading of prostate cancer in biopsies : a population-based, diagnostic study
- 2020
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Ingår i: The Lancet Oncology. - : Elsevier. - 1470-2045 .- 1474-5488. ; 21:2, s. 222-232
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundAn increasing volume of prostate biopsies and a worldwide shortage of urological pathologists puts a strain on pathology departments. Additionally, the high intra-observer and inter-observer variability in grading can result in overtreatment and undertreatment of prostate cancer. To alleviate these problems, we aimed to develop an artificial intelligence (AI) system with clinically acceptable accuracy for prostate cancer detection, localisation, and Gleason grading.MethodsWe digitised 6682 slides from needle core biopsies from 976 randomly selected participants aged 50–69 in the Swedish prospective and population-based STHLM3 diagnostic study done between May 28, 2012, and Dec 30, 2014 (ISRCTN84445406), and another 271 from 93 men from outside the study. The resulting images were used to train deep neural networks for assessment of prostate biopsies. The networks were evaluated by predicting the presence, extent, and Gleason grade of malignant tissue for an independent test dataset comprising 1631 biopsies from 246 men from STHLM3 and an external validation dataset of 330 biopsies from 73 men. We also evaluated grading performance on 87 biopsies individually graded by 23 experienced urological pathologists from the International Society of Urological Pathology. We assessed discriminatory performance by receiver operating characteristics and tumour extent predictions by correlating predicted cancer length against measurements by the reporting pathologist. We quantified the concordance between grades assigned by the AI system and the expert urological pathologists using Cohen's kappa.FindingsThe AI achieved an area under the receiver operating characteristics curve of 0·997 (95% CI 0·994–0·999) for distinguishing between benign (n=910) and malignant (n=721) biopsy cores on the independent test dataset and 0·986 (0·972–0·996) on the external validation dataset (benign n=108, malignant n=222). The correlation between cancer length predicted by the AI and assigned by the reporting pathologist was 0·96 (95% CI 0·95–0·97) for the independent test dataset and 0·87 (0·84–0·90) for the external validation dataset. For assigning Gleason grades, the AI achieved a mean pairwise kappa of 0·62, which was within the range of the corresponding values for the expert pathologists (0·60–0·73).InterpretationAn AI system can be trained to detect and grade cancer in prostate needle biopsy samples at a ranking comparable to that of international experts in prostate pathology. Clinical application could reduce pathology workload by reducing the assessment of benign biopsies and by automating the task of measuring cancer length in positive biopsy cores. An AI system with expert-level grading performance might contribute a second opinion, aid in standardising grading, and provide pathology expertise in parts of the world where it does not exist.
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