Literature DB >> 25320011

Combined genome and transcriptome analysis of single disseminated cancer cells from bone marrow of prostate cancer patients reveals unexpected transcriptomes.

Miodrag Gužvić1, Bernhard Braun2, Roman Ganzer3, Maximilian Burger3, Michael Nerlich4, Sebastian Winkler5, Melanie Werner-Klein6, Zbigniew T Czyż7, Bernhard Polzer7, Christoph A Klein8.   

Abstract

Bone is the most frequent site of metastasis in prostate cancer and patients with bone metastases are deemed incurable. Targeting prostate cancer cells that disseminated to the bone marrow before surgery and before metastatic outgrowth may therefore prevent lethal metastasis. This prompted us to directly analyze the transcriptome of disseminated cancer cells (DCC) isolated from patients with nonmetastatic (UICC stage M0) prostate cancer. We screened 105 bone marrow samples of patients with M0-stage prostate cancer and 18 bone marrow samples of patients without malignancy for the presence of EpCAM(+) single cells. In total, we isolated 270 cells from both groups by micromanipulation and globally amplified their mRNA. We used targeted transcriptional profiling to unambiguously identify DCCs for subsequent in-depth analysis. Transcriptomes of all cells were examined for the expression of EPCAM, KRT8, KRT18, KRT19, KRT14, KRT6a, KRT5, KLK3 (PSA), MAGEA2, MAGEA4, PTPRC (CD45), CD33, CD34, CD19, GYPC, SCL4A1 (band 3), and HBA2. Using these transcripts, we found it impossible to reliably identify true DCCs. We then applied combined genome and transcriptome analysis of single cells and found that EpCAM(+) cells from controls expressed transcripts thought to be epithelial-specific, whereas true DCCs may express hematopoietic transcripts. These results point to an unexpected transcriptome plasticity of epithelial cancer cells in bone marrow and question common transcriptional criteria to identify DCCs. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 25320011     DOI: 10.1158/0008-5472.CAN-14-0934

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  26 in total

Review 1.  Prostate-specific markers to identify rare prostate cancer cells in liquid biopsies.

Authors:  Emma E van der Toom; Haley D Axelrod; Jean J de la Rosette; Theo M de Reijke; Kenneth J Pienta; Kenneth C Valkenburg
Journal:  Nat Rev Urol       Date:  2019-01       Impact factor: 14.432

Review 2.  Concise Review: Prostate Cancer Stem Cells: Current Understanding.

Authors:  Sergej Skvortsov; Ira-Ida Skvortsova; Dean G Tang; Anna Dubrovska
Journal:  Stem Cells       Date:  2018-08-27       Impact factor: 6.277

Review 3.  The biology and clinical implications of prostate cancer dormancy and metastasis.

Authors:  Colm Morrissey; Robert L Vessella; Paul H Lange; Hung-Ming Lam
Journal:  J Mol Med (Berl)       Date:  2015-10-21       Impact factor: 4.599

4.  Detection and isolation of disseminated tumor cells in bone marrow of patients with clinically localized prostate cancer.

Authors:  Frank C Cackowski; Yugang Wang; Joseph T Decker; Christopher Sifuentes; Steven Weindorf; Younghun Jung; Yu Wang; Ann M Decker; Kenji Yumoto; Nicholas Szerlip; Laura Buttitta; Kenneth J Pienta; Todd M Morgan; Russell S Taichman
Journal:  Prostate       Date:  2019-08-26       Impact factor: 4.104

Review 5.  The biology of circulating tumor cells.

Authors:  K Pantel; M R Speicher
Journal:  Oncogene       Date:  2015-06-08       Impact factor: 9.867

Review 6.  Prostate cancer dormancy and recurrence.

Authors:  Frank C Cackowski; Elisabeth I Heath
Journal:  Cancer Lett       Date:  2021-10-05       Impact factor: 8.679

7.  Prostate Cancer Disseminated Tumor Cells are Rarely Detected in the Bone Marrow of Patients with Localized Disease Undergoing Radical Prostatectomy across Multiple Rare Cell Detection Platforms.

Authors:  Heather J Chalfin; Stephanie A Glavaris; Paymaneh D Malihi; Jamie M Sperger; Michael A Gorin; Changxue Lu; C Rory Goodwin; Yan Chen; Emily A Caruso; Ruth Dumpit; Peter Kuhn; Joshua M Lang; Peter S Nelson; Jun Luo; Kenneth J Pienta
Journal:  J Urol       Date:  2018-01-12       Impact factor: 7.450

8.  G&T-seq: parallel sequencing of single-cell genomes and transcriptomes.

Authors:  Iain C Macaulay; Wilfried Haerty; Parveen Kumar; Yang I Li; Tim Xiaoming Hu; Mabel J Teng; Mubeen Goolam; Nathalie Saurat; Paul Coupland; Lesley M Shirley; Miriam Smith; Niels Van der Aa; Ruby Banerjee; Peter D Ellis; Michael A Quail; Harold P Swerdlow; Magdalena Zernicka-Goetz; Frederick J Livesey; Chris P Ponting; Thierry Voet
Journal:  Nat Methods       Date:  2015-04-27       Impact factor: 28.547

9.  Paired High-Content Analysis of Prostate Cancer Cells in Bone Marrow and Blood Characterizes Increased Androgen Receptor Expression in Tumor Cell Clusters.

Authors:  Anders Carlsson; Peter Kuhn; Madelyn S Luttgen; Kevin Keomanee-Dizon; Patricia Troncoso; Paul G Corn; Anand Kolatkar; James B Hicks; Christopher J Logothetis; Amado J Zurita
Journal:  Clin Cancer Res       Date:  2016-10-04       Impact factor: 12.531

10.  Combined ultra-low input mRNA and whole-genome sequencing of human embryonic stem cells.

Authors:  Florian Mertes; Björn Lichtner; Heiner Kuhl; Mirjam Blattner; Jörg Otte; Wasco Wruck; Bernd Timmermann; Hans Lehrach; James Adjaye
Journal:  BMC Genomics       Date:  2015-11-12       Impact factor: 3.969

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