Literature DB >> 28410987

Alkaline phosphatase velocity predicts overall survival and bone metastasis in patients with castration-resistant prostate cancer.

Kai H Hammerich1, Timothy F Donahue2, Inger L Rosner3, Jennifer Cullen4, Huai-Ching Kuo5, Lauren Hurwitz5, Yongmei Chen5, Melanie Bernstein2, Jonathan Coleman2, Daniel C Danila2, Adam R Metwalli6.   

Abstract

INTRODUCTION AND
OBJECTIVES: Identifying patients with prostate cancer (CaP) who will ultimately develop bone metastasis (BM) or die of disease is essential. Alkaline phosphatase velocity (APV) has been shown to predict overall survival (OS) and bone metastasis-free survival (BMFS) in an earlier study of an equal access military patient cohort of patients with castrate-resistant prostate cancer (CRPC). To confirm these findings, we examined a cohort of patients from a high-volume cancer center to validate a previous observation that faster alkaline phosphatase (AP) kinetics are predictive of OS and BMFS in this second cohort of patients.
MATERIALS AND METHODS: A retrospective cohort study was conducted of patients with CRPC treated at Memorial Sloan Kettering Cancer Center between 1989 and 2010. All patients who received androgen deprivation therapy (ADT) as primary treatment in response to a rising PSA after definitive surgery for CaP were eligible. For those who received primary ADT or surgery followed by ADT, CRPC was defined as one rising PSA value after a PSA nadir ≤4ng/ml, and confirmed by a second rising PSA value, with concurrently documented testosterone levels <50ng/dl. APV was computed as the slope of the linear regression line of all AP values (>2 values per patient) plotted against time. Study outcome included BMFS and OS. Univariable Kaplan-Meier analysis was used to examine time-to-event outcomes. Multivariable Cox proportional hazards regression analysis was used to model time to BMFS and OS.
RESULTS: Of 89 patients with CRPC with evaluable data and CRPC, 17 (19%) experienced BM and 26 (29%) died. APV was dichotomized at the uppermost quartile split of all observed APV values:≥5.42U/l/y vs. the lower 3 quartiles combined,<5.42U/l/y. Patients with faster APV had significantly worse outcomes, including faster progression to BM and poorer OS when compared with those with slower APV (P = 0.0451 and P = 0.0109, respectively). There was strong correlation between PSA doubling time (PSADT) (<10,≥10mo) and APV (≥5.42U/l/y vs.<5.42U/l/y) (P = 0.0289), preventing simultaneous evaluation of both factors in multivariable analysis. Kaplan-Meier analysis showed that PSADT was also predictive of BM and OS (log-rank P<0.0001). Separate multivariable Cox proportional hazards regression models were used to examine PSADT and APV, as predictors of each study outcome (BMFS and OS). Both PSADT and APV were strongly predictive of BMFS and OS (respectively).
CONCLUSIONS: APV and PSADT were predictors of BM and OS in patients with CRPC, respectively. These data are additional evidence of the potential value of AP kinetics in patients with advanced CaP. Prospective studies will be required to clarify these associations. However, given the restrictions on the current patient population in excluding metastatic disease within 12 months of ADT and a PSA nadir >4ng/ml, the findings are not inappropriately generalized to other men. Published by Elsevier Inc.

Entities:  

Keywords:  Biomarker; Cancer-specific death; Castrate-resistant prostate cancer; Prostate; Prostate cancer; Prostate cancer progression

Mesh:

Substances:

Year:  2017        PMID: 28410987     DOI: 10.1016/j.urolonc.2017.02.001

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  10 in total

Review 1.  Moonshot Objectives: Catalyze New Scientific Breakthroughs-Proteogenomics.

Authors:  Karin D Rodland; Paul Piehowski; Richard D Smith
Journal:  Cancer J       Date:  2018 May/Jun       Impact factor: 3.360

2.  Values of alkaline phosphatase at the diagnosis of castration resistance and response to primary androgen deprivation therapy as predictors of subsequent metastasis in non-metastatic castration-resistant prostate cancer.

Authors:  Keiichiro Mori; Takahiro Kimura; Wataru Fukuokaya; Kosuke Iwatani; Keigo Sakanaka; Gaku Kurokawa; Takafumi Yanagisawa; Hiroshi Sasaki; Jun Miki; Tatsuya Shimomura; Kenta Miki; Takashi Hatano; Katsuhisa Endo; Shin Egawa
Journal:  Int J Clin Oncol       Date:  2019-09-11       Impact factor: 3.402

Review 3.  Clinical implication of prognostic and predictive biomarkers for castration-resistant prostate cancer: a systematic review.

Authors:  Shengri Tian; Zhen Lei; Dongyuan Xu; Minhu Piao; Zuo Gong; Zhonghai Sun
Journal:  Cancer Cell Int       Date:  2020-08-26       Impact factor: 5.722

Review 4.  Alkaline phosphatase: a potential biomarker for stroke and implications for treatment.

Authors:  Allison L Brichacek; Candice M Brown
Journal:  Metab Brain Dis       Date:  2018-10-04       Impact factor: 3.584

5.  Radium-223 Treatment Increases Immune Checkpoint Expression in Extracellular Vesicles from the Metastatic Prostate Cancer Bone Microenvironment.

Authors:  Ioulia Vardaki; Paul Corn; Emanuela Gentile; Jian H Song; Namrata Madan; Anh Hoang; Nila Parikh; Leah Guerra; Yu-Chen Lee; Song-Chang Lin; Guoyu Yu; Elmer Santos; Marites P Melancon; Patricia Troncoso; Nora Navone; Gary E Gallick; Eleni Efstathiou; Sumit K Subudhi; Sue-Hwa Lin; Christopher J Logothetis; Theocharis Panaretakis
Journal:  Clin Cancer Res       Date:  2021-03-22       Impact factor: 12.531

6.  Prognostic value of serum alkaline phosphatase in the survival of prostate cancer: evidence from a meta-analysis.

Authors:  Dongyang Li; Hang Lv; Xuanyu Hao; Bin Hu; Yongsheng Song
Journal:  Cancer Manag Res       Date:  2018-08-30       Impact factor: 3.989

7.  Machine learning algorithms to estimate 10-Year survival in patients with bone metastases due to prostate cancer: toward a disease-specific survival estimation tool.

Authors:  Ashley B Anderson; Clare Grazal; Rikard Wedin; Claire Kuo; Yongmei Chen; Bryce R Christensen; Jennifer Cullen; Jonathan A Forsberg
Journal:  BMC Cancer       Date:  2022-04-30       Impact factor: 4.638

8.  Elucidation and control of low and high active populations of alkaline phosphatase molecules for quantitative digital bioassay.

Authors:  Hiroshi Ueno; Makoto Kato; Yoshihiro Minagawa; Yushi Hirose; Hiroyuki Noji
Journal:  Protein Sci       Date:  2021-06-09       Impact factor: 6.725

9.  Effects on bone resorption markers of continuing pamidronate or switching to zoledronic acid in patients with high risk bone metastases from breast cancer.

Authors:  J F Hilton; M Clemons; G Pond; H Zhao; S Mazzarello; L Vandermeer; C L Addison
Journal:  J Bone Oncol       Date:  2017-11-08       Impact factor: 4.072

10.  Alkaline Phosphatase Kinetics Predict Metastasis among Prostate Cancer Patients Who Experience Relapse following Radical Prostatectomy.

Authors:  Carolyn A Salter; Jennifer Cullen; Claire Kuo; Yongmei Chen; Lauren Hurwitz; Adam R Metwalli; Jordan Dimitrakoff; Inger L Rosner
Journal:  Biomed Res Int       Date:  2018-06-28       Impact factor: 3.411

  10 in total

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