| 1. |
- Shui, Irene M., et al.
(författare)
-
Prostate Cancer (PCa) Risk Variants and Risk of Fatal PCa in the National Cancer Institute Breast and Prostate Cancer Cohort Consortium
- 2014
-
Ingår i: European Urology. - : Elsevier BV. - 0302-2838 .- 1873-7560. ; 65:6, s. 1069-1075
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Screening and diagnosis of prostate cancer (PCa) is hampered by an inability to predict who has the potential to develop fatal disease and who has indolent cancer. Studies have identified multiple genetic risk loci for PCa incidence, but it is unknown whether they could be used as biomarkers for PCa-specific mortality (PCSM). Objective: To examine the association of 47 established PCa risk single-nucleotide polymorphisms (SNPs) with PCSM. Design, setting, and participants: We included 10 487 men who had PCa and 11 024 controls, with a median follow-up of 8.3 yr, during which 1053 PCa deaths occurred. Outcome measurements and statistical analysis: The main outcome was PCSM. The risk allele was defined as the allele associated with an increased risk for PCa in the literature. We used Cox proportional hazards regression to calculate the hazard ratios of each SNP with time to progression to PCSM after diagnosis. We also used logistic regression to calculate odds ratios for each risk SNP, comparing fatal PCa cases to controls. Results and limitations: Among the cases, we found that 8 of the 47 SNPs were significantly associated (p < 0.05) with time to PCSM. The risk allele of rs11672691 (intergenic) was associated with an increased risk for PCSM, while 7 SNPs had risk alleles inversely associated (rs13385191 [C2orf43], rs17021918 [PDLIM5], rs10486567 [JAZF1], rs6465657 [LMTK2], rs7127900 (intergenic), rs2735839 [KLK3], rs10993994 [MSMB], rs13385191 [C2orf43]). In the case-control analysis, 22 SNPs were associated (p < 0.05) with the risk of fatal PCa, but most did not differentiate between fatal and nonfatal PCa. Rs11672691 and rs10993994 were associated with both fatal and nonfatal PCa, while rs6465657, rs7127900, rs2735839, and rs13385191 were associated with nonfatal PCa only. Conclusions: Eight established risk loci were associated with progression to PCSM after diagnosis. Twenty-two SNPs were associated with fatal PCa incidence, but most did not differentiate between fatal and nonfatal PCa. The relatively small magnitudes of the associations do not translate well into risk prediction, but these findings merit further follow-up, because they may yield important clues about the complex biology of fatal PCa. Patient summary: In this report, we assessed whether established PCa risk variants could predict PCSM. We found eight risk variants associated with PCSM: One predicted an increased risk of PCSM, while seven were associated with decreased risk. Larger studies that focus on fatal PCa are needed to identify more markers that could aid prediction. (C) 2013 European Association of Urology. Published by Elsevier B.V. All rights reserved.
|
|
| 2. |
- Lu, Donghao, et al.
(författare)
-
Stress-Related Signaling Pathways in Lethal and Nonlethal Prostate Cancer
- 2016
-
Ingår i: Clinical cancer research : an official journal of the American Association for Cancer Research. - Philadelphia, USA : American Association for Cancer Research. - 1078-0432 .- 1557-3265. ; 22:3, s. 765-772
-
Tidskriftsartikel (refereegranskat)abstract
- Purpose: Recent data suggest that neuroendocrine signaling may influence progression in some cancers. We aimed to determine whether genes within the five major stress-related signaling pathways are differentially expressed in tumor tissue when comparing prostate cancer patients with lethal and nonlethal disease.Experimental design: We measured mRNA expression of 51 selected genes involved in predetermined stress-related signaling pathways (adrenergic, glucocorticoid, dopaminergic, serotoninergic, and muscarinic systems) in tumor tissue and normal prostate tissue collected from prostate cancer patients in the Physicians' Health Study (n = 150; n = 82 with normal) and the Health Professionals Follow-Up Study (n = 254; n = 120 with normal). We assessed differences in pathway expression in relation to prostate cancer lethality as the primary outcome and to biomarkers as secondary outcomes.Results: Differential mRNA expression of genes within the adrenergic (P = 0.001), glucocorticoid (P < 0.0001), serotoninergic (P = 0.0019), and muscarinic (P = 0.0045) pathways in tumor tissue was associated with the risk of lethality. The adrenergic pathway was also statistically significant (P = 0.001) when comparing against differential expression of genes not involved in the pathways. In adjacent normal prostate tissue, none of the pathways was clearly differentially expressed between lethal and nonlethal prostate cancer. The glucocorticoid and adrenergic pathways were associated with cell proliferation, while the glucocorticoid pathway was additionally associated with angiogenesis and perineural invasion.Conclusions: Our study suggests that stress-related signaling pathways, particularly the adrenergic and glucocorticoid, may be dysregulated in the tumors of men whose prostate cancer proves to be lethal, and motivates further investigation of these pathways in functional studies.
|
|
| 3. |
- Pettersson, Andreas, et al.
(författare)
-
The ABC model of prostate cancer : A conceptual framework for the design and interpretation of prognostic studies
- 2017
-
Ingår i: Cancer. - Hoboken, USA : John Wiley & Sons. - 0008-543X .- 1097-0142. ; 123:9, s. 1490-1496
-
Forskningsöversikt (refereegranskat)abstract
- There has been limited success in identifying prognostic biomarkers in prostate cancer. A partial explanation may be that insufficient emphasis has been put on clearly defining what type of marker or patient category a biomarker study aims to identify and how different cohort characteristics affect the ability to identify such a marker. In this article, the authors put forth the ABC model of prostate cancer, which defines 3 groups of patients with localized disease that an investigator may seek to identify: patients who, within a given time frame, will not develop metastases even if untreated (category A), will not develop metastases because of radical treatment (category B), or will develop metastases despite radical treatment (category C). The authors demonstrate that follow-up time and prostate-specific antigen screening intensity influence the prevalence of patients in categories A, B, and C in a study cohort, and that prognostic markers must be tested in both treated and untreated cohorts to accurately distinguish the 3 groups. The authors suggest that more emphasis should be put on considering these factors when planning, conducting, and interpreting the results from prostate cancer biomarker studies, and propose the ABC model as a framework to aid in that process.
|
|
| 4. |
- Stopsack, Konrad H., et al.
(författare)
-
Cholesterol Metabolism and Prostate Cancer Lethality
- 2016
-
Ingår i: Cancer Research. - : American Association for Cancer Research Inc.. - 0008-5472 .- 1538-7445. ; 76:16, s. 4785-4790
-
Tidskriftsartikel (refereegranskat)abstract
- Cholesterol metabolism has been implicated in prostate cancer pathogenesis. Here, we assessed the association of intratumoral mRNA expression of cholesterol synthesis enzymes, transporters, and regulators in tumor specimen at diagnosis and lethal prostate cancer, defined as mortality or metastases from prostate cancer in contrast to nonlethal disease without evidence of metastases after at least 8 years of follow-up. We analyzed the prospective prostate cancer cohorts within the Health Professionals Follow-up Study (n = 249) and the Physicians' Health Study (n = 153) as well as expectantly managed patients in the Swedish Watchful Waiting Study (n = 338). The expression of squalene monooxygenase (SQLE) was associated with lethal cancer in all three cohorts. Men with high SQLE expression (>1 standard deviation above the mean) were 8.3 times (95% confidence interval, 3.5 to 19.7) more likely to have lethal cancer despite therapy compared with men with the mean level of SQLE expression. Absolute SQLE expression was associated with lethal cancer independently from Gleason grade and stage, as was a SQLE expression ratio in tumor versus surrounding benign prostate tissue. Higher SQLE expression was tightly associated with increased histologic markers of angiogenesis. Collectively, this study establishes the prognostic value of intratumoral cholesterol synthesis as measured via SQLE, its second rate-limiting enzyme. SQLE expression at cancer diagnosis is prognostic for lethal prostate cancer both after curative-intent prostatectomy and in a watchful waiting setting, possibly by facilitating micrometastatic disease.
|
|
| 5. |
- Stopsack, Konrad H., et al.
(författare)
-
Cholesterol uptake and regulation in high-grade and lethal prostate cancers
- 2017
-
Ingår i: Carcinogenesis. - : Oxford University Press. - 0143-3334 .- 1460-2180. ; 38:8, s. 806-811
-
Tidskriftsartikel (refereegranskat)abstract
- Lethal prostate cancers have higher expression of squalene monooxygenase (SQLE), the second rate-limiting enzyme of cholesterol synthesis. Preclinical studies suggested that aberrant cholesterol regulators, receptors and transporters contribute to cholesterol accumulation uniformly. We assessed their association with features of aggressive cancers. In the prospective prostate cancer cohorts within the Health Professional Follow-up Study, the Physicians' Health Study and the Swedish Watchful Waiting Study, tumor mRNA expression profiling was performed. Lethal disease was defined as mortality or metastases from prostate cancer (n = 266) in contrast to non-lethal disease without metastases after >8 years of follow-up (n = 476). Associations with Gleason grade were additionally assessed using The Cancer Genome Atlas primary prostate cancer dataset (n = 333). Higher Gleason grade was associated with lower LDLR expression, lower SOAT1 and higher SQLE expression. Besides high SQLE expression, cancers that became lethal despite primary treatment were characterized by low LDLR expression (odds ratio for highest versus lowest quintile, 0.37; 95% CI 0.18-0.76) and by low SOAT1 expression (odds ratio, 0.41; 95% CI 0.21-0.83). The association of LDLR expression and lethality was not present in tumors with high IDOL expression. ABCA1, PCSK9 or SCARB1 expressions were not associated with Gleason grade or lethal cancer. In summary, prostate cancers that progress to lethal disease rely on de novo cholesterol synthesis (via SQLE), rather than transcellular uptake (via LDLR) or cholesterol esterification (via SOAT1). These results may help design pharmacotherapy for high-risk patients.
|
|
