Literature DB >> 29447924

New prostate cancer grade grouping system predicts survival after radical prostatectomy.

Andrew Erickson1, Kevin Sandeman2, Kanerva Lahdensuo3, Stig Nordling4, Markku Kallajoki5, Heikki Seikkula6, Anna Bützow7, Hanna Vasarainen3, Peter J Boström6, Pekka Taimen5, Antti Rannikko3, Tuomas Mirtti8.   

Abstract

Entities:  

Keywords:  Competing risk analysis; Gleason grade; Grade Group; Prostate cancer; Survival

Mesh：

Substances：

Year:  2018        PMID： 29447924     DOI： 10.1016/j.humpath.2018.01.027

Source DB:  PubMed          Journal:  Hum Pathol        ISSN： 0046-8177            Impact factor:   3.466


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  4 in total

1.  AI Model for Prostate Biopsies Predicts Cancer Survival.

Authors:  Kevin Sandeman; Sami Blom; Ville Koponen; Anniina Manninen; Juuso Juhila; Antti Rannikko; Tuomas Ropponen; Tuomas Mirtti
Journal:  Diagnostics (Basel)       Date:  2022-04-20

Review 2.  The role of surgery in high risk and advanced prostate cancer: A narrative review.

Authors:  Chloe Sheila Dayan Roy; Ashwin Sachdeva; Gokul Vignesh Kandaswamy; Bhavan Prasad Rai
Journal:  Turk J Urol       Date:  2020-10-30

3.  Incidence of androgen receptor and androgen receptor variant 7 coexpression in prostate cancer.

Authors:  Jordan E Vellky; Tyler M Bauman; Emily A Ricke; Wei Huang; William A Ricke
Journal:  Prostate       Date:  2019-09-10       Impact factor: 4.104

4.  Alterations in protein expression and site-specific N-glycosylation of prostate cancer tissues.

Authors:  Simon Sugár; Gábor Tóth; Fanni Bugyi; Károly Vékey; Katalin Karászi; László Drahos; Lilla Turiák
Journal:  Sci Rep       Date:  2021-08-05       Impact factor: 4.379
  4 in total

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