Literature DB >> 31503032

The Genomic and Molecular Pathology of Prostate Cancer: Clinical Implications for Diagnosis, Prognosis, and Therapy.

Farzana A Faisal1, Tamara L Lotan1,2,3.   

Abstract

Prostate cancer (PCa) is the most common noncutaneous malignancy affecting American men and the second most common cause of cancer death. The traditional risk classification schemes for PCa are limited due to the vast clinical and molecular heterogeneity of the disease. Fortunately, recent advancements in sequencing technologies have provided us with valuable insight into the genomics of PCa. To date, a wide array of recurrent genomic alterations in PCa have been identified. Incorporating these distinct molecular subtypes of PCa into prediction models provides opportunities for improved risk stratification and ultimately better patient outcomes. In this review, we summarize the key molecular subtypes of PCa and focus on those genomic alterations that have clinical implications for diagnosis, prognosis, and therapeutic response.

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Year:  2020        PMID: 31503032     DOI: 10.1097/PAP.0000000000000245

Source DB:  PubMed          Journal:  Adv Anat Pathol        ISSN: 1072-4109            Impact factor:   3.875


  3 in total

1.  A Novel Artificial Intelligence-Powered Method for Prediction of Early Recurrence of Prostate Cancer After Prostatectomy and Cancer Drivers.

Authors:  Wei Huang; Ramandeep Randhawa; Parag Jain; Samuel Hubbard; Jens Eickhoff; Shivaani Kummar; George Wilding; Hirak Basu; Rajat Roy
Journal:  JCO Clin Cancer Inform       Date:  2022-02

Review 2.  The endoplasmic reticulum stress response in prostate cancer.

Authors:  Claire M de la Calle; Kevin Shee; Heiko Yang; Peter E Lonergan; Hao G Nguyen
Journal:  Nat Rev Urol       Date:  2022-09-27       Impact factor: 16.430

3.  The novel transcriptomic signature of angiogenesis predicts clinical outcome, tumor microenvironment and treatment response for prostate adenocarcinoma.

Authors:  Cheng-Yuan Gu; Bo Dai; Yao Zhu; Guo-Wen Lin; Hong-Kai Wang; Ding-Wei Ye; Xiao-Jian Qin
Journal:  Mol Med       Date:  2022-07-14       Impact factor: 6.376

  3 in total

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