Literature DB >> 18544981

Radiotherapy as primary treatment modality.

M Sia1, T Rosewall, T P Warde.   

Abstract

The proper management of prostate cancer is dependent on appropriate risk categorization, based on pretreatment prostate-specific antigen (PSA), clinical stage and Gleason score (GS). The use of radiotherapy in low-risk (T1-T2a, PSA < 10 ng/ml and GS <or= 6) and intermediate-risk (T1/T2, PSA < 20 ng/ml and GS <or= 7) disease is well established, with comparable results to surgery in the era of modern radiation therapy. However, cancer-related outcomes in some radiotherapy patients might still be improved with the use of adjuvant hormonal therapy. There is presently no clear evidence to support its use in low-risk patients and benefits in intermediate-risk patients need to be elucidated in the era of dose-escalated radiation therapy. Hypofractionated radiotherapy using biologically equivalent doses also has the potential to improve the therapeutic index, given the low alpha / beta ratio of prostate cancer, and to reduce overall treatment time, but the most advantageous regimen needs to be determined. In patients with high-risk disease (T3-T4, PSA > 20 ng/ml or GS >or=6 8), radiation with hormones has become the standard treatment. The issues that remain focus on determining the optimal duration of hormones, assessing the use of locoregional dose escalation and determining the possible benefit from adjuvant chemotherapy.

Entities:  

Mesh:

Year:  2008        PMID: 18544981     DOI: 10.1159/000139874

Source DB:  PubMed          Journal:  Front Radiat Ther Oncol        ISSN: 0071-9676


  4 in total

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Authors:  P Castelo-Branco; B J Passer; J S Buhrman; S Antoszczyk; M Marinelli; C Zaupa; S D Rabkin; R L Martuza
Journal:  Gene Ther       Date:  2010-03-11       Impact factor: 5.250

2.  Evaluation of vesicular stomatitis virus mutant as an oncolytic agent against prostate cancer.

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Journal:  Int J Clin Exp Med       Date:  2014-05-15

3.  Database Mining of Genes of Prognostic Value for the Prostate Adenocarcinoma Microenvironment Using the Cancer Gene Atlas.

Authors:  Xin Zhao; Daixing Hu; Jia Li; Guozhi Zhao; Wei Tang; Honglin Cheng
Journal:  Biomed Res Int       Date:  2020-05-18       Impact factor: 3.411

4.  Identification of Pathologic and Prognostic Genes in Prostate Cancer Based on Database Mining.

Authors:  Kun Liu; Yijun Chen; Pengmian Feng; Yucheng Wang; Mengdi Sun; Tao Song; Jun Tan; Chunyang Li; Songpo Liu; Qinghong Kong; Jidong Zhang
Journal:  Front Genet       Date:  2022-03-11       Impact factor: 4.599

  4 in total

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