Literature DB >> 29297492

Markers of clinical utility in the differential diagnosis and prognosis of prostate cancer.

Glen Kristiansen1.   

Abstract

Molecular diagnostics is a rapidly evolving area of surgical pathology, that is gradually beginning to transform our diagnostical procedures for a variety of tumors. Next to molecular prognostication that has begun to complement our histological diagnosis in breast cancer, additional testing to detect targets and to predict therapy response has become common practice in breast and lung cancer. Prostate cancer is a bit slower in this respect, as it is still largely diagnosed and classified on morphological grounds. Our diagnostic immunohistochemical armamentarium of basal cell markers and positive markers of malignancy now allows to clarify the majority of lesions, if applied to the appropriate morphological context (and step sections). Prognostic immunohistochemistry remains a problematic and erratic yet tempting research field that provides information on tumor relevance of proteins, but little hard data to integrate into our diagnostic workflow. Main reasons are various issues of standardization that hamper the reproducibility of cut-off values to delineate risk categories. Molecular testing of DNA-methylation or transcript profiling may be much better standardized and this review discusses a couple of commercially available tests: The ConfirmDX test measures DNA-methylation to estimate the likelihood of cancer detection on a repeat biopsy and may help to reduce unnecessary biopsies. The tests Prolaris, OncotypeDX Prostate, and Decipher all are transcript tests that have shown to provide prognostic data independent of clinico-pathological parameters and that may aid in therapy planning. However, further validation and more comparative studies will be needed to clarify the many open questions concerning sampling bias and tumor heterogeneity.

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Year:  2018        PMID: 29297492     DOI: 10.1038/modpathol.2017.168

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  10 in total

1.  Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers.

Authors:  Tiannan Guo; Li Li; Qing Zhong; Niels J Rupp; Konstantina Charmpi; Christine E Wong; Ulrich Wagner; Jan H Rueschoff; Wolfram Jochum; Christian Daniel Fankhauser; Karim Saba; Cedric Poyet; Peter J Wild; Ruedi Aebersold; Andreas Beyer
Journal:  Life Sci Alliance       Date:  2018-05-29

2.  Prostate cancer growth patterns beyond the Gleason score: entering a new era of comprehensive tumour grading.

Authors:  Geert J L H van Leenders; Esther I Verhoef; Eva Hollemans
Journal:  Histopathology       Date:  2020-09-13       Impact factor: 5.087

3.  An RNA-Seq-Based Framework for Characterizing Canine Prostate Cancer and Prioritizing Clinically Relevant Biomarker Candidate Genes.

Authors:  Heike Thiemeyer; Leila Taher; Jan Torben Schille; Eva-Maria Packeiser; Lisa K Harder; Marion Hewicker-Trautwein; Bertram Brenig; Ekkehard Schütz; Julia Beck; Ingo Nolte; Hugo Murua Escobar
Journal:  Int J Mol Sci       Date:  2021-10-25       Impact factor: 5.923

Review 4.  Current Methods and Caveats to Risk Factor Assessment in Cutaneous Squamous Cell Carcinoma (cSCC): A Narrative Review.

Authors:  Aaron S Farberg; Alison L Fitzgerald; Sherrif F Ibrahim; Stan N Tolkachjov; Teo Soleymani; Leah M Douglas; Sarah J Kurley; Sarah T Arron
Journal:  Dermatol Ther (Heidelb)       Date:  2022-01-07

5.  Large and small cribriform architecture have similar adverse clinical outcome on prostate cancer biopsies.

Authors:  L Lucia Rijstenberg; Tim Hansum; Charlotte F Kweldam; Intan P Kümmerlin; Sebastiaan Remmers; Monique J Roobol; Geert J L H van Leenders
Journal:  Histopathology       Date:  2022-05-04       Impact factor: 7.778

Review 6.  Big data in basic and translational cancer research.

Authors:  Peng Jiang; Sanju Sinha; Kenneth Aldape; Sridhar Hannenhalli; Cenk Sahinalp; Eytan Ruppin
Journal:  Nat Rev Cancer       Date:  2022-09-05       Impact factor: 69.800

7.  Comprehensive methylome sequencing reveals prognostic epigenetic biomarkers for prostate cancer mortality.

Authors:  Ruth Pidsley; Dilys Lam; Wenjia Qu; Timothy J Peters; Phuc-Loi Luu; Darren Korbie; Clare Stirzaker; Roger J Daly; Phillip Stricker; James G Kench; Lisa G Horvath; Susan J Clark
Journal:  Clin Transl Med       Date:  2022-10

8.  RNA-seq of nine canine prostate cancer cell lines reveals diverse therapeutic target signatures.

Authors:  Hugo Murua Escobar; Ingo Nolte; Eva-Maria Packeiser; Leila Taher; Weibo Kong; Mathias Ernst; Julia Beck; Marion Hewicker-Trautwein; Bertram Brenig; Ekkehard Schütz
Journal:  Cancer Cell Int       Date:  2022-02-02       Impact factor: 5.722

9.  Looking for a Simplified Diagnostic Model to Identify Potentially Lethal Cases of Prostate Cancer at Initial Diagnosis: An ImGO Pilot Study.

Authors:  Serena Macrini; Simona Francesconi; Cecilia Caprera; Daniela Lancia; Matteo Corsi; Marco Gunnellini; Andrea Rocchi; Anjuta Pireddu; Fiovo Marziani; Claudia Mosillo; Maria Letizia Calandrella; Claudia Caserta; Diana Giannarelli; Annalisa Guida; Stefano Ascani; Sergio Bracarda
Journal:  Cancers (Basel)       Date:  2022-03-17       Impact factor: 6.639

10.  Glyoxalase 1 Expression as a Novel Diagnostic Marker of High-Grade Prostatic Intraepithelial Neoplasia in Prostate Cancer.

Authors:  Liliana Rounds; Ray B Nagle; Andrea Muranyi; Jana Jandova; Scott Gill; Elizabeth Vela; Georg T Wondrak
Journal:  Cancers (Basel)       Date:  2021-07-19       Impact factor: 6.639

  10 in total

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