Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants

Nature Genetics, Год журнала: 2023, Номер 55(12), С. 2065 - 2074

Опубликована: Ноя. 9, 2023

Язык: Английский

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Calibrated prediction intervals for polygenic scores across diverse contexts

Nature Genetics, Год журнала: 2024, Номер 56(7), С. 1386 - 1396

Опубликована: Июнь 17, 2024

Язык: Английский

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Multi-stage mechanisms of tumor metastasis and therapeutic strategies

Signal Transduction and Targeted Therapy, Год журнала: 2024, Номер 9(1)

Опубликована: Окт. 11, 2024

The cascade of metastasis in tumor cells, exhibiting organ-specific tendencies, may occur at numerous phases the disease and progress under intense evolutionary pressures. Organ-specific relies on formation pre-metastatic niche (PMN), with diverse cell types complex interactions contributing to this concept, adding a new dimension traditional cascade. Prior metastatic dissemination, as orchestrators PMN formation, primary tumor-derived extracellular vesicles prepare fertile microenvironment for settlement colonization circulating cells distant secondary sites, significantly impacting cancer progression outcomes. Obviously, solely intervening sites passively after macrometastasis is often insufficient. Early prediction holistic, macro-level control represent future directions therapy. This review emphasizes dynamic intricate systematic alterations that progresses, illustrates immunological landscape creation, deepens understanding treatment modalities pertinent metastasis, thereby identifying some prognostic predictive biomarkers favorable early predict occurrence design appropriate combinations.

Язык: Английский

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An Application Based Nomogram to Predict Clinically Significant Diseases in Patients With an Elevated PSA and MRI Prior to Prostate Biopsy

JU Open Plus, Год журнала: 2025, Номер 3(2)

Опубликована: Фев. 1, 2025

Introduction and Objective: A nomogram-based approach can accurately predict the outcome of prostate biopsy (PBx) in naïve men with an elevated PSA using known traditional risk factors. However, MRI has been shown to be value before performing a PBx. This study aimed clinically significant cancer (csPC) on PBx by combining clinical factors addition imaging findings An application was then created improve accessibility predicted outcomes aid decision-making. Methods: cohort 448 biopsy-naive PSA, MRI, who underwent transrectal ultrasound-guided were included. Age, race, volume, density, Prostate Imaging Reporting & Data System, digital rectal examination, Gleason score evaluated. CsPC defined as Grade Group 2 or higher. Logistical models aforementioned nomogram model performance 10-fold cross-validation developed subsequent development. The calibration plot, ROC, decision curve evaluate performance. Results: Of men, 36% diagnosed csPC. mean age 65.97 ± 7.74 years, 81% White. 12.60 13.04 ng/mL. interaction found, so stratified above below 67 years age. achieved 82% AUC, 61% sensitivity, specificity, 74% overall accuracy. Conclusions: application-based combines for csPC men. By these variables, provides powerful predictive tool guiding decision-making discovery Our outperformed predicting (82% AUC). is especially specific (82%) effective ruling out need low-risk patients. In addition, development accurate user-friendly increases usefulness urologists patients alike.

Язык: Английский

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Prostate Cancer Foundation Screening Guidelines for Black Men in the United States

NEJM Evidence, Год журнала: 2024, Номер 3(5)

Опубликована: Апрель 23, 2024

In the United States, Black men are at highest risk for being diagnosed with and dying from prostate cancer. Given this disparity, we examined relevant data to establish clinical prostate-specific antigen (PSA) screening guidelines in States.

Язык: Английский

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Transcending frontiers in prostate cancer: the role of oncometabolites on epigenetic regulation, CSCs, and tumor microenvironment to identify new therapeutic strategies

Cell Communication and Signaling, Год журнала: 2024, Номер 22(1)

Опубликована: Янв. 12, 2024

Abstract Prostate cancer, as one of the most prevalent malignancies in males, exhibits an approximate 5-year survival rate 95% advanced stages. A myriad molecular events and mutations, including accumulation oncometabolites, underpin genesis progression this cancer type. Despite growing research demonstrating pivotal role oncometabolites supporting various cancers, prostate root causes their accumulation, especially absence enzymatic remain elusive. Consequently, identifying a tangible therapeutic target poses formidable challenge. In review, we aim to delve deeper into implications oncometabolite cancer. We center our focus on consequential epigenetic alterations impacts stem cells, with ultimate goal outlining novel strategies. Graphical

Язык: Английский

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Mini-Review: Current Bladder Cancer Treatment—The Need for Improvement

International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(3), С. 1557 - 1557

Опубликована: Янв. 26, 2024

Bladder cancer is the tenth most common and a significant burden on health care services worldwide, as it one of costly cancers to treat per patient. This expense due extensive treatment follow-ups that occur with invasive procedures. Improvement in both options quality life these interventions offer has not progressed at rates other cancers, new alternatives are desperately needed ease burden. A more modern approach needs be taken, urinary biomarkers being positive step making treatments patient-friendly, but there still long way go make widely available comparable standard current options. New targets hit major signalling pathways upregulated bladder cancer, such PI3K/AkT/mTOR pathway, urgently needed, only drug approved so far, Erdafitinib. Immune checkpoint inhibitors also hold promise, PD-1 CDLA-4 antibody therapies for use. They effectively block ligand/receptor binding immune used by tumour cells. Other avenues must explored, including repurposing novel biomarkers, which have revolutionised this area cancers.

Язык: Английский

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SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Фев. 6, 2025

Sample relatedness is a major confounder in genome-wide association studies (GWAS), potentially leading to inflated type I error rates if not appropriately controlled. A common strategy incorporate random effect related genetic matrix (GRM) into regression models. However, this approach challenging for large-scale GWAS of complex traits, such as longitudinal traits. Here we propose scalable and accurate analysis framework, SPAGRM, which controls sample via precise approximation the joint distribution genotypes. SPAGRM can utilize GRM-free models thus applicable various trait types statistical methods, including linear mixed generalized estimation equations hybrid incorporating saddlepoint greatly increases accuracy analyze low-frequency rare variants, especially unbalanced phenotypic distributions. We also introduce SPAGRM(CCT) aggregate results following different Cauchy combination test. Extensive simulations real data analyses demonstrated that maintains well-controlled serve broadly effective method. Applying 79 traits extracted from UK Biobank primary care data, identified 7,463 loci, making pioneering attempt conduct these

Язык: Английский

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Comment on Nathan et al. Relationship Between Average Glucose Levels and HbA1c Differs Across Racial Groups: A Substudy of the GRADE Randomized Trial. Diabetes Care 2024;47:2155–2163

Diabetes Care, Год журнала: 2025, Номер 48(3), С. e33 - e33

Опубликована: Фев. 20, 2025

Язык: Английский

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Prostate Cancer Detection in Colombian Patients through E-Senses Devices in Exhaled Breath and Urine Samples

Chemosensors, Год журнала: 2024, Номер 12(1), С. 11 - 11

Опубликована: Янв. 5, 2024

This work consists of a study to detect prostate cancer using E-senses devices based on electronic tongue and nose systems. Therefore, two groups confirmed control patients were invited participate through urine exhaled breath samples, where the group was categorized as Benign Prostatic Hyperplasia, Prostatitis, Healthy patients. Afterward, samples subsequently classified Pattern Recognition machine learning methods, results compared clinical history, obtaining 92.9% success rate in PCa samples’ classification accuracy by eTongue 100% eNose.

Язык: Английский

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