Prostate Cancer
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What's New
Last Posted: Dec 23, 2020
- Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [ 68 Ga]Ga-PSMA-11 PET/MRI.
Papp L et al. European journal of nuclear medicine and molecular imaging 2020 Dec - An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study.
Pantanowitz Liron et al. The Lancet. Digital health 2020 Aug 2(8) e407-e416 - Development and validation of a 25-Gene Panel urine test for prostate cancer diagnosis and potential treatment follow-up.
Johnson Heather et al. BMC medicine 2020 Dec 18(1) 376 - DNA damage repair gene mutation testing and genetic counseling in men with/without prostate cancer: a systematic review.
Armstrong Nigel et al. Future oncology (London, England) 2020 Dec - Performance of Three Inherited Risk Measures for Predicting Prostate Cancer Incidence and Mortality: A Population-based Prospective Analysis.
Shi Zhuqing et al. European urology 2020 Nov - Validation of a prostate cancer polygenic risk score.
Black Mary H et al. The Prostate 2020 Nov 80(15) 1314-1321 - The Genetic Complexity of Prostate Cancer.
Compérat Eva et al. Genes 2020 Nov 11(12) - Prostate Cancer Progression and the Epigenome
W Arap et al, NEJM, December 2, 2020 - Prevalence and clinicopathological/molecular characteristics of mismatch repair protein-deficient tumours among surgically treated patients with prostate cancer in a Japanese hospital-based population.
Kagawa Makoto et al. Japanese journal of clinical oncology 2020 Nov - Prognostic Genomic Biomarkers in Patients With Localized Prostate Cancer: Is Rising Utilization Justified by Evidence?
Lin Daniel W et al. JAMA oncology 2020 Nov - Regional Adoption of Commercial Gene Expression Testing for Prostate Cancer.
Leapman Michael S et al. JAMA oncology 2020 Nov - Epithelial Splicing Regulatory Protein (ESPR1) Expression in an Unfavorable Prognostic Factor in Prostate Cancer Patients.
Lee Hyung Ho et al. Frontiers in oncology 2020 10556650 - Accelerating precision medicine in metastatic prostate cancer
J Mateo, Nature Cancer, November 17, 2020 - Detection of Pathogenic Variants With Germline Genetic Testing Using Deep Learning vs Standard Methods in Patients With Prostate Cancer and Melanoma.
AlDubayan Saud H et al. JAMA 2020 Nov 324(19) 1957-1969 - Biomarker discrimination and calibration with MRI-targeted biopsies: an analysis with the Stockholm3 test.
Vigneswaran Hari T et al. Prostate cancer and prostatic diseases 2020 Nov
About Cancer PHGKB
Cancer PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic discoveries into improved health care and prevention related to cancer...more
Content Summary
- CDC Information (5)
- NIH Information (9)
- COVID-19 (32)
- CDC Genomics Publications (1)
- Human Genome Epidemiologic Studies (2504)
- GWAS Studies (66)
- Human Genomics Translation/Implementation Studies (346)
- Genomic Tests Evidence Synthesis (34)
- Genomic Tests Guidelines (18)
- Tier-Classified Guidelines (1)
- Non-Genomics Precision Health (66)
- Pathogen Advanced Molecular Detection (2)
- State Public Health Genomics Programs (5)
- Reviews/Commentaries (229)
- Tools/Methods (3)
- Ethical/Legal and Social Issues (ELSI) (6)
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Oct 1, 2020
- Page last updated:Dec 28, 2020
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