Literature DB >> 16077921

Extraction and processing of high quality RNA from impalpable and macroscopically invisible prostate cancer for microarray gene expression analysis.

Thorsten Schlomm1, Andreas M Luebke, Holger Sültmann, Olaf J C Hellwinkel, Ulrich Sauer, Annemarie Poustka, Kerstin A David, Felix K H Chun, Alexander Haese, Markus Graefen, Andreas Erbersdobler, Hartwig Huland.   

Abstract

Molecular analyses of early-stage prostate cancers are necessary to assess their potential clinical significance based on established and/or novel biomarkers for tailored clinical management. A prerequisite for the application of RNA-based analyses of such, mostly macroscopically-undetectable, small prostate carcinomas is the recovery and preservation of sufficient RNA quantities and quality. Furthermore, in prostate cancer, heterogeneity is a common phenomenon that includes a juxtaposition of different tissue compositions and variable histological grades within the same tumor focus. To better understand the molecular mechanisms of prostate cancer, it is essential to correlate molecular data with a specific cell type. Here, we present a tissue collecting protocol which is aligned with the preoperative evaluation of tumor localization. In combination with the technique of laser microdissection and pressure catapulting, we are able to preserve RNA of high quality from homogeneous cell populations of macroscopically-undetectable small prostate carcinomas. To obtain the necessary RNA quantities for whole genome cDNA microarrays, the isolated total RNAs were amplified by T7-based RNA-polymerase in vitro transcription. The microarray analyses (Human Unigene Set RZPD3.1) resulted in 216 differentially expressed genes (191 down-regulated, 25 up-regulated). Among these were several known prostate cancer relevant genes, such as AMACR, TARP, LIM, GPR160 (all up-regulated), CAV1, NTN1, MT1X; CLU, TRIM29, SPARCL1 and HSPB8 (all down-regulated).

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Year:  2005        PMID: 16077921

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  14 in total

1.  [Molecular high throughput research in prostate carcinoma].

Authors:  T Schlomm; H Sültmann; A Poustka; G Sauter; O J C Hellwinkel; H Huland
Journal:  Urologe A       Date:  2007-09       Impact factor: 0.639

2.  [Identification and validation of clinically relevant molecular alterations in prostate cancer].

Authors:  T Schlomm; H Sültmann; J Köllermann
Journal:  Urologe A       Date:  2008-09       Impact factor: 0.639

3.  [Identification and validation of clinically relevant molecular alterations in prostate cancer].

Authors:  T Schlomm; H Sültmann; J Köllermann
Journal:  Pathologe       Date:  2009-03       Impact factor: 1.011

Review 4.  [Selection criteria for the expected management of localised prostate cancer].

Authors:  M Graefen; G Salomon; E Currlin; C Eichelberg; T Schlomm; H Huland
Journal:  Urologe A       Date:  2005-11       Impact factor: 0.639

Review 5.  Beyond laser microdissection technology: follow the yellow brick road for cancer research.

Authors:  Luc G Legres; Anne Janin; Christophe Masselon; Philippe Bertheau
Journal:  Am J Cancer Res       Date:  2014-01-15       Impact factor: 6.166

Review 6.  Molecular staging of prostate cancer in the year 2007.

Authors:  Thorsten Schlomm; Andreas Erbersdobler; Martina Mirlacher; Guido Sauter
Journal:  World J Urol       Date:  2007-03-02       Impact factor: 4.226

7.  Tripartite motif-containing 29 expression in squamous cell carcinoma.

Authors:  Moon-Kyun Cho
Journal:  Ann Dermatol       Date:  2012-11-08       Impact factor: 1.444

8.  Cancer biomarker discovery: the entropic hallmark.

Authors:  Regina Berretta; Pablo Moscato
Journal:  PLoS One       Date:  2010-08-18       Impact factor: 3.240

9.  A cell spot microarray method for production of high density siRNA transfection microarrays.

Authors:  Juha K Rantala; Rami Mäkelä; Anna-Riina Aaltola; Petra Laasola; John-Patrick Mpindi; Matthias Nees; Petri Saviranta; Olli Kallioniemi
Journal:  BMC Genomics       Date:  2011-03-28       Impact factor: 3.969

10.  Low-dose BPA exposure alters the mesenchymal and epithelial transcriptomes of the mouse fetal mammary gland.

Authors:  Perinaaz R Wadia; Nicolas J Cabaton; Michael D Borrero; Beverly S Rubin; Carlos Sonnenschein; Toshi Shioda; Ana M Soto
Journal:  PLoS One       Date:  2013-05-21       Impact factor: 3.240

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