Literature DB >> 25294917

A tissue biomarker-based model that identifies patients with a high risk of distant metastasis and differential survival by length of androgen deprivation therapy in RTOG protocol 92-02.

Alan Pollack1, James J Dignam2, Dayssy A Diaz3, Qian Wu2, Radka Stoyanova3, Kyounghwa Bae4, Adam P Dicker5, Howard Sandler6, Gerald E Hanks7, Felix Y Feng8.   

Abstract

PURPOSE: To examine the relationship between the expression of 7 promising apoptotic/cell proliferation proteins (Ki-67, p53, MDM2, bcl-2, bax, p16, and Cox-2) and risk of distant metastasis. EXPERIMENTAL
DESIGN: RTOG 92-02 compared external beam radiotherapy (EBRT) to approximately 70 Gy + short-term androgen deprivation therapy (STADT) with EBRT + long-term ADT (LTADT). Immunohistochemical analysis was available for ≥4 biomarkers in 616 of 1,521 assessable cases. Biomarkers were evaluated individually and jointly via multivariable modeling of distant metastasis using competing risks hazards regression, adjusting for age, prostate-specific antigen, Gleason score, T stage, and treatment.
RESULTS: Modeling identified four biomarkers (Ki-67, MDM2, p16 and Cox-2) that were jointly associated with distant metastasis. The c-index was 0.77 for the full model and 0.70 for the model without the biomarkers; a relative improvement of about 10% (likelihood ratio P < 0.001). Subdivision of the patients into quartiles based on predicted distant metastasis risk identified a high-risk group with 10-year distant metastasis risk of 52.5% after EBRT + STADT and 31% with EBRT + LTADT; associated 10-year prostate cancer-specific mortality (PCSM) risks were 45.9% and 14.5% with STADT and LTADT.
CONCLUSION: Four biomarkers were found to contribute significantly to a model that predicted distant metastasis and identified a subgroup of patients at a particularly high risk of both distant metastasis and PCSM when EBRT + STADT was used. LTADT resulted in significant reductions in distant metastasis and improvements in PCSM, and there was a suggestion of greater importance in the very high risk subgroup. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 25294917      PMCID: PMC4299458          DOI: 10.1158/1078-0432.CCR-14-0075

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  20 in total

1.  Novel metrics for evaluating improvement in discrimination: net reclassification and integrated discrimination improvement for normal variables and nested models.

Authors:  Michael J Pencina; Ralph B D'Agostino; Olga V Demler
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Review 2.  The E2F1/Rb and p53/MDM2 pathways in DNA repair and apoptosis: understanding the crosstalk to develop novel strategies for prostate cancer radiotherapy.

Authors:  Thirupandiyur Udayakumar; Mohammed M Shareef; Dayssy A Diaz; Mansoor M Ahmed; Alan Pollack
Journal:  Semin Radiat Oncol       Date:  2010-10       Impact factor: 5.934

3.  The use and interpretation of competing risks regression models.

Authors:  James J Dignam; Qiang Zhang; Masha Kocherginsky
Journal:  Clin Cancer Res       Date:  2012-01-26       Impact factor: 12.531

4.  Dose escalation for prostate cancer radiotherapy: predictors of long-term biochemical tumor control and distant metastases-free survival outcomes.

Authors:  Michael J Zelefsky; Xin Pei; Joanne F Chou; Michael Schechter; Marisa Kollmeier; Brett Cox; Yoshiya Yamada; Anthony Fidaleo; Dahlia Sperling; Laura Happersett; Zhigang Zhang
Journal:  Eur Urol       Date:  2011-08-22       Impact factor: 20.096

5.  The analysis of failure times in the presence of competing risks.

Authors:  R L Prentice; J D Kalbfleisch; A V Peterson; N Flournoy; V T Farewell; N E Breslow
Journal:  Biometrics       Date:  1978-12       Impact factor: 2.571

6.  Systematic analyses of genes associated with radiosensitizing effect by celecoxib, a specific cyclooxygenase-2 inhibitor.

Authors:  Young-Mee Kim; You Keun Shin; Hyun Jung Jun; Sun Young Rha; Hongryull Pyo
Journal:  J Radiat Res       Date:  2011       Impact factor: 2.724

7.  Pretreatment nomogram that predicts 5-year probability of metastasis following three-dimensional conformal radiation therapy for localized prostate cancer.

Authors:  Michael W Kattan; Michael J Zelefsky; Patrick A Kupelian; Daniel Cho; Peter T Scardino; Zvi Fuks; Steven A Leibel
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8.  A competing-risks nomogram for sarcoma-specific death following local recurrence.

Authors:  Michael W Kattan; Glenn Heller; Murray F Brennan
Journal:  Stat Med       Date:  2003-11-30       Impact factor: 2.373

9.  Phase III trial of long-term adjuvant androgen deprivation after neoadjuvant hormonal cytoreduction and radiotherapy in locally advanced carcinoma of the prostate: the Radiation Therapy Oncology Group Protocol 92-02.

Authors:  Gerald E Hanks; Thomas F Pajak; Arthur Porter; David Grignon; Harmart Brereton; Varagur Venkatesan; Eric M Horwitz; Colleen Lawton; Seth A Rosenthal; Howard M Sandler; William U Shipley
Journal:  J Clin Oncol       Date:  2003-11-01       Impact factor: 44.544

10.  Vascular endothelial growth factor (VEGF) expression in locally advanced prostate cancer: secondary analysis of radiation therapy oncology group (RTOG) 8610.

Authors:  Larry Pan; Seunghee Baek; Pamela R Edmonds; Mack Roach; Harvey Wolkov; Satish Shah; Alan Pollack; M Elizabeth Hammond; Adam P Dicker
Journal:  Radiat Oncol       Date:  2013-04-25       Impact factor: 3.481

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  6 in total

1.  Prospective Validation of Diagnostic Tumor Biomarkers in Men Treated With Radiotherapy for Prostate Cancer.

Authors:  Alan Pollack; Deukwoo Kwon; Gail Walker; Li Yan Khor; Eric M Horwitz; Mark K Buyyounouski; Radka Stoyanova
Journal:  J Natl Cancer Inst       Date:  2017-02-01       Impact factor: 13.506

2.  Prevention of prostate cancer by natural product MDM2 inhibitor GS25: in vitro and in vivo activities and molecular mechanisms.

Authors:  Wei Wang; Jiang-Jiang Qin; Xin Li; Guanyu Tao; Qiang Wang; Xuming Wu; Jianwei Zhou; Xiaolin Zi; Ruiwen Zhang
Journal:  Carcinogenesis       Date:  2018-07-30       Impact factor: 4.944

3.  MDM2 Inhibition Sensitizes Prostate Cancer Cells to Androgen Ablation and Radiotherapy in a p53-Dependent Manner.

Authors:  Felix Y Feng; Yu Zhang; Vishal Kothari; Joseph R Evans; William C Jackson; Wei Chen; Skyler B Johnson; Connor Luczak; Shaomeng Wang; Daniel A Hamstra
Journal:  Neoplasia       Date:  2016-04       Impact factor: 5.715

4.  miR-620 promotes tumor radioresistance by targeting 15-hydroxyprostaglandin dehydrogenase (HPGD).

Authors:  Xiaoyong Huang; Samira Taeb; Sahar Jahangiri; Elina Korpela; Ivan Cadonic; Nancy Yu; Sergey N Krylov; Emmanouil Fokas; Paul C Boutros; Stanley K Liu
Journal:  Oncotarget       Date:  2015-09-08

Review 5.  Grading Evolution and Contemporary Prognostic Biomarkers of Clinically Significant Prostate Cancer.

Authors:  Konrad Sopyllo; Andrew M Erickson; Tuomas Mirtti
Journal:  Cancers (Basel)       Date:  2021-02-05       Impact factor: 6.639

Review 6.  Genomic and Histopathological Tissue Biomarkers That Predict Radiotherapy Response in Localised Prostate Cancer.

Authors:  Anna Wilkins; David Dearnaley; Navita Somaiah
Journal:  Biomed Res Int       Date:  2015-10-04       Impact factor: 3.411

  6 in total

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