Literature DB >> 21723797

Comparison of circulating MicroRNA 141 to circulating tumor cells, lactate dehydrogenase, and prostate-specific antigen for determining treatment response in patients with metastatic prostate cancer.

Jason C Gonzales1, Louis M Fink, Oscar B Goodman, James T Symanowski, Nicholas J Vogelzang, David C Ward.   

Abstract

Our aim was to determine the utility of circulating micro RNA miR-141 as a potential biomarker of therapeutic response in prostate cancer (CaP) patients. We compared the values of miR-141 in plasma of 21 CaP patients to the levels of prostate specific antigen (PSA), circulating tumor cells (CTC) and lactate dehydrogenase (LDH). Data suggest a strong correlation of miR-141 values and clinical course. For prostate cancer (CaP), the measurement of prostate-specific antigen (PSA) and radiographic studies do not adequately predict response to therapy and survival, and, therefore, new relevant biomarkers are needed. We and other researchers have shown that longitudinal measurements of PSA, circulating tumor cells (CTC), and lactate dehydrogenase (LDH) may aid in predicting response to therapy. Results of recent studies have determined that circulating microRNA (miRNA) miR-141 is detected in plasma of patients with CaP. We, therefore, compared the temporal changes of miR-141 with the levels of CTC, LDH, and PSA in 21 patients with CaP, and longitudinally examined these markers alone or in combinations to determine the utility of miR-141 in the predicting a patient's clinical course and response to therapy. Levels of miR-141 in plasma of 21 patients with CaP were measured by using quantitative reverse transcription-polymerase chain reaction. A total of 35 intervals were assessed. Directional changes (increasing or decreasing) in PSA, CTC, and miR-141 had sensitivity in predicting clinical outcome (progression vs. nonprogressing) of 78.9%. Logistic regression modeling of the probability of clinical progression demonstrates that miR-141 levels predicted clinical outcomes with an odds ratio of at least 8.3. miR-141 also had the highest correlation with temporal changes of PSA with a correlation of R = 0.77 (P < .001). In this retrospective study, miR-141 demonstrated a similar ability to predict clinical progression when compared with other clinically validated biomarkers. Furthermore, miR-141 demonstrated high correlation with changes of the other biomarkers.
Copyright © 2011. Published by Elsevier Inc.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21723797     DOI: 10.1016/j.clgc.2011.05.008

Source DB:  PubMed          Journal:  Clin Genitourin Cancer        ISSN: 1558-7673            Impact factor:   2.872


  56 in total

Review 1.  Missing link between microRNA and prostate cancer.

Authors:  Balraj Singh Gill; Jimi Marin Alex; Sanjeev Kumar
Journal:  Tumour Biol       Date:  2016-01-28

Review 2.  Extracellular vesicles such as prostate cancer cell fragments as a fluid biopsy for prostate cancer.

Authors:  S I Brett; Y Kim; C N Biggs; J L Chin; H S Leong
Journal:  Prostate Cancer Prostatic Dis       Date:  2015-05-12       Impact factor: 5.554

3.  Circulating tumor cells versus objective response assessment predicting survival in metastatic castration-resistant prostate cancer patients treated with docetaxel chemotherapy.

Authors:  M Thalgott; M M Heck; M Eiber; M Souvatzoglou; G Hatzichristodoulou; V Kehl; B J Krause; B Rack; M Retz; J E Gschwend; U Andergassen; R Nawroth
Journal:  J Cancer Res Clin Oncol       Date:  2015-02-24       Impact factor: 4.553

4.  Biobanking of derivatives from radical retropubic and robot-assisted laparoscopic prostatectomy tissues as part of the prostate cancer biorepository network.

Authors:  Medha Darshan; Qizhi Zheng; Helen L Fedor; Nicolas Wyhs; Srinivasan Yegnasubramanian; Peng Lee; Jonathan Melamed; George J Netto; Bruce J Trock; Angelo M De Marzo; Karen S Sfanos
Journal:  Prostate       Date:  2013-09-21       Impact factor: 4.104

Review 5.  [Detection of circulating tumor cells from peripheral blood in prostate cancer].

Authors:  M Thalgott; M M Heck; K Pantel
Journal:  Urologe A       Date:  2014-04       Impact factor: 0.639

Review 6.  The role of microRNA in castration-resistant prostate cancer.

Authors:  William Thieu; Derya Tilki; Ralph de Vere White; Christopher P Evans
Journal:  Urol Oncol       Date:  2014-07       Impact factor: 3.498

7.  Diagnostic and prognostic values of tissue hsa-miR-30c and hsa-miR-203 in prostate carcinoma.

Authors:  Ziling Huang; Long Zhang; Xianghua Yi; Xiaoting Yu
Journal:  Tumour Biol       Date:  2015-10-24

Review 8.  Sweating the small stuff: microRNAs and genetic changes define pancreatic cancer.

Authors:  Siuwah Tang; Jillian Bonaroti; Sebnem Unlu; Xiaoyan Liang; Daolin Tang; Herbert J Zeh; Michael T Lotze
Journal:  Pancreas       Date:  2013-07       Impact factor: 3.327

9.  MiR-345 suppresses proliferation, migration and invasion by targeting Smad1 in human prostate cancer.

Authors:  Qi-guang Chen; Wei Zhou; Tao Han; Shu-qi Du; Zhen-hua Li; Zhe Zhang; Guang-yi Shan; Chui-ze Kong
Journal:  J Cancer Res Clin Oncol       Date:  2015-07-31       Impact factor: 4.553

Review 10.  DNA Methylation and Urological Cancer, a Step Towards Personalized Medicine: Current and Future Prospects.

Authors:  Javier C Angulo; Jose I López; Santiago Ropero
Journal:  Mol Diagn Ther       Date:  2016-12       Impact factor: 4.074

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.