Literature DB >> 26820133

Use of two gene panels for prostate cancer diagnosis and patient risk stratification.

Kefeng Xiao1, Jinan Guo1, Xuhui Zhang2, Xiaoyan Feng2, Heqiu Zhang2, Zhiqiang Cheng3, Heather Johnson4, Jenny L Persson5, Lingwu Chen6.   

Abstract

Currently, no ideal prostate cancer (PCa) diagnostic or prognostic test is available due to the lack of biomarkers with high sensitivity and specificity. There is an unmet medical need to develop combinations of multiple biomarkers which may have higher accuracy in detection of PCa and stratification of aggressive and indolent cancer patients. The aim of this study was to test two biomarker gene panels in distinguishing PCa from benign prostate and high-risk, aggressive PCa from low-risk, indolent PCa, respectively. We identified a five-gene panel that can be used to distinguish PCa from benign prostate. The messenger RNA (mRNA) expression signature of the five genes was determined in 144 PCa and benign prostate specimens from prostatectomy. We showed that the five-gene panel distinguished PCa from benign prostate with sensitivity of 96.59 %, specificity of 92.86 %, and area under the curve (AUC) of 0.992 (p < 0.0001). The five-gene panel was further validated in a 137 specimen cohort and showed sensitivity of 84.62 %, specificity of 91.84 %, and AUC of 0.942 (p < 0.0001). To define subtypes of PCa for treatment guidance, we examined mRNA expression signature of an eight-gene panel in 87 PCa specimens from prostatectomy. The signature of the eight-gene panel was able to distinguish aggressive PCa (Gleason score >6) from indolent PCa (Gleason score ≤6) with sensitivity of 90.28 %, specificity of 80.00 %, and AUC of 0.967 (p < 0.0001). This panel was further validated in a 158 specimen cohort and showed significant difference between aggressive PCa and indolent PCa with sensitivity of 92.57 %, specificity of 70.00 %, and AUC of 0.962 (p < 0.0001). Our findings in assessing multiple biomarkers in combination may provide new tools to detect PCa and distinguish aggressive and indolent PCa for precision and personalized treatment. The two biomarker panels may be used in clinical settings for accurate PCa diagnosis and patient risk stratification for biomarker-guided treatment.

Entities:  

Keywords:  Aggressive prostate cancer; Indolent prostate cancer; Prostate cancer; Prostate cancer biomarkers; Prostate cancer diagnosis; Prostate cancer prognosis

Mesh:

Substances:

Year:  2016        PMID: 26820133     DOI: 10.1007/s13277-015-4619-0

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  26 in total

1.  Hepsin immunohistochemical expression in prostate cancer in relation to Gleason's grade and serum prostate specific antigen.

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2.  APTIMA PCA3 molecular urine test: development of a method to aid in the diagnosis of prostate cancer.

Authors:  Jack Groskopf; Sheila M J Aubin; Ina Lim Deras; Amy Blase; Sharon Bodrug; Craig Clark; Steven Brentano; Jeannette Mathis; Jimmykim Pham; Troels Meyer; Michelle Cass; Petrea Hodge; Maria Luz Macairan; Leonard S Marks; Harry Rittenhouse
Journal:  Clin Chem       Date:  2006-04-20       Impact factor: 8.327

3.  Clinical evaluation of the PCA3 assay in guiding initial biopsy decisions.

Authors:  Alexandre de la Taille; Jacques Irani; Markus Graefen; Felix Chun; Theo de Reijke; Paul Kil; Paolo Gontero; Alain Mottaz; Alexander Haese
Journal:  J Urol       Date:  2011-04-15       Impact factor: 7.450

Review 4.  Urine markers in monitoring for prostate cancer.

Authors:  T Jamaspishvili; M Kral; I Khomeriki; V Student; Z Kolar; J Bouchal
Journal:  Prostate Cancer Prostatic Dis       Date:  2009-08-04       Impact factor: 5.554

5.  The tumor-suppressive microRNA-143/145 cluster inhibits cell migration and invasion by targeting GOLM1 in prostate cancer.

Authors:  Satoko Kojima; Hideki Enokida; Hirofumi Yoshino; Toshihiko Itesako; Takeshi Chiyomaru; Takashi Kinoshita; Miki Fuse; Rika Nishikawa; Yusuke Goto; Yukio Naya; Masayuki Nakagawa; Naohiko Seki
Journal:  J Hum Genet       Date:  2013-11-28       Impact factor: 3.172

6.  Golgi protein GOLM1 is a tissue and urine biomarker of prostate cancer.

Authors:  Sooryanarayana Varambally; Bharathi Laxman; Rohit Mehra; Qi Cao; Saravana M Dhanasekaran; Scott A Tomlins; Jill Granger; Adaikkalam Vellaichamy; Arun Sreekumar; Jianjun Yu; Wenjuan Gu; Ronglai Shen; Debashis Ghosh; Lorinda M Wright; Raleigh D Kladney; Rainer Kuefer; Mark A Rubin; Claus J Fimmel; Arul M Chinnaiyan
Journal:  Neoplasia       Date:  2008-11       Impact factor: 5.715

7.  Multicenter Evaluation of the Prostate Health Index to Detect Aggressive Prostate Cancer in Biopsy Naïve Men.

Authors:  Claire de la Calle; Dattatraya Patil; John T Wei; Douglas S Scherr; Lori Sokoll; Daniel W Chan; Javed Siddiqui; Juan Miguel Mosquera; Mark A Rubin; Martin G Sanda
Journal:  J Urol       Date:  2015-01-28       Impact factor: 7.450

8.  Targeted inhibition of cell-surface serine protease Hepsin blocks prostate cancer bone metastasis.

Authors:  Xi Tang; Sumit S Mahajan; Liem T Nguyen; François Béliveau; Richard Leduc; Julian A Simon; Valeri Vasioukhin
Journal:  Oncotarget       Date:  2014-03-15

9.  PCA3 in prostate cancer and tumor aggressiveness detection on 407 high-risk patients: a National Cancer Institute experience.

Authors:  Roberta Merola; Luigi Tomao; Anna Antenucci; Isabella Sperduti; Steno Sentinelli; Serena Masi; Chiara Mandoj; Giulia Orlandi; Rocco Papalia; Salvatore Guaglianone; Manuela Costantini; Giuseppe Cusumano; Giovanni Cigliana; Paolo Ascenzi; Michele Gallucci; Laura Conti
Journal:  J Exp Clin Cancer Res       Date:  2015-02-06

10.  Impact of differential cyclin D1 expression and localisation in prostate cancer.

Authors:  C E S Comstock; M P Revelo; C R Buncher; K E Knudsen
Journal:  Br J Cancer       Date:  2007-03-26       Impact factor: 7.640

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  5 in total

Review 1.  Tissue-Based MicroRNAs as Predictors of Biochemical Recurrence after Radical Prostatectomy: What Can We Learn from Past Studies?

Authors:  Zhongwei Zhao; Carsten Stephan; Sabine Weickmann; Monika Jung; Glen Kristiansen; Klaus Jung
Journal:  Int J Mol Sci       Date:  2017-09-21       Impact factor: 5.923

2.  Development and validation of a 25-Gene Panel urine test for prostate cancer diagnosis and potential treatment follow-up.

Authors:  Heather Johnson; Jinan Guo; Xuhui Zhang; Heqiu Zhang; Athanasios Simoulis; Alan H B Wu; Taolin Xia; Fei Li; Wanlong Tan; Allan Johnson; Nishtman Dizeyi; Per-Anders Abrahamsson; Lukas Kenner; Xiaoyan Feng; Chang Zou; Kefeng Xiao; Jenny L Persson; Lingwu Chen
Journal:  BMC Med       Date:  2020-12-01       Impact factor: 8.775

3.  Establishing a Urine-Based Biomarker Assay for Prostate Cancer Risk Stratification.

Authors:  Jinan Guo; Dale Liu; Xuhui Zhang; Heather Johnson; Xiaoyan Feng; Heqiu Zhang; Alan H B Wu; Lingwu Chen; Jiequn Fang; Zhangang Xiao; Kefeng Xiao; Jenny L Persson; Chang Zou
Journal:  Front Cell Dev Biol       Date:  2020-12-10

4.  A 23-Gene Classifier urine test for prostate cancer prognosis.

Authors:  Jinan Guo; Heather Johnson; Xuhui Zhang; Xiaoyan Feng; Heqiu Zhang; Athanasios Simoulis; Alan Hb Wu; Taolin Xia; Fei Li; Wanlong Tan; Allan Johnson; Nishtman Dizeyi; Per-Anders Abrahamsson; Lukas Kenner; Lingwu Chen; Wanmei Zhong; Kefeng Xiao; Jenny L Persson; Chang Zou
Journal:  Clin Transl Med       Date:  2021-03

5.  KLK3 SNP-SNP interactions for prediction of prostate cancer aggressiveness.

Authors:  Hui-Yi Lin; Po-Yu Huang; Chia-Ho Cheng; Heng-Yuan Tung; Zhide Fang; Anders E Berglund; Ann Chen; Jennifer French-Kwawu; Darian Harris; Julio Pow-Sang; Kosj Yamoah; John L Cleveland; Shivanshu Awasthi; Robert J Rounbehler; Travis Gerke; Jasreman Dhillon; Rosalind Eeles; Zsofia Kote-Jarai; Kenneth Muir; Johanna Schleutker; Nora Pashayan; David E Neal; Sune F Nielsen; Børge G Nordestgaard; Henrik Gronberg; Fredrik Wiklund; Graham G Giles; Christopher A Haiman; Ruth C Travis; Janet L Stanford; Adam S Kibel; Cezary Cybulski; Kay-Tee Khaw; Christiane Maier; Stephen N Thibodeau; Manuel R Teixeira; Lisa Cannon-Albright; Hermann Brenner; Radka Kaneva; Hardev Pandha; Srilakshmi Srinivasan; Judith Clements; Jyotsna Batra; Jong Y Park
Journal:  Sci Rep       Date:  2021-04-29       Impact factor: 4.379

  5 in total

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