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Automated quantification of FISH signals in urinary cells enables the assessment of chromosomal aberration patterns characteristic for bladder cancer

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Automated quantification of FISH signals in urinary cells enables the assessment of chromosomal aberration patterns characteristic for bladder cancer. / Köhler, Christina U; Martin, Laura; Bonberg, Nadine; Behrens, Thomas; Deix, Thomas; Braun, Katharina; Noldus, Joachim; Jöckel, Karl-Heinz; Erbel, Raimund; Sommerer, Florian; Tannapfel, Andrea; Harth, Volker; Käfferlein, Heiko U; Brüning, Thomas.

In: BIOCHEM BIOPH RES CO, Vol. 448, No. 4, 13.06.2014, p. 467-72.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Köhler, CU, Martin, L, Bonberg, N, Behrens, T, Deix, T, Braun, K, Noldus, J, Jöckel, K-H, Erbel, R, Sommerer, F, Tannapfel, A, Harth, V, Käfferlein, HU & Brüning, T 2014, 'Automated quantification of FISH signals in urinary cells enables the assessment of chromosomal aberration patterns characteristic for bladder cancer', BIOCHEM BIOPH RES CO, vol. 448, no. 4, pp. 467-72. https://doi.org/10.1016/j.bbrc.2014.04.137

APA

Köhler, C. U., Martin, L., Bonberg, N., Behrens, T., Deix, T., Braun, K., Noldus, J., Jöckel, K-H., Erbel, R., Sommerer, F., Tannapfel, A., Harth, V., Käfferlein, H. U., & Brüning, T. (2014). Automated quantification of FISH signals in urinary cells enables the assessment of chromosomal aberration patterns characteristic for bladder cancer. BIOCHEM BIOPH RES CO, 448(4), 467-72. https://doi.org/10.1016/j.bbrc.2014.04.137

Vancouver

Köhler CU, Martin L, Bonberg N, Behrens T, Deix T, Braun K et al. Automated quantification of FISH signals in urinary cells enables the assessment of chromosomal aberration patterns characteristic for bladder cancer. BIOCHEM BIOPH RES CO. 2014 Jun 13;448(4):467-72. https://doi.org/10.1016/j.bbrc.2014.04.137

Bibtex

@article{8a4e157cebf04bf7b793f335938e91ca,
title = "Automated quantification of FISH signals in urinary cells enables the assessment of chromosomal aberration patterns characteristic for bladder cancer",
abstract = "Targeting the centromeres of chromosomes 3, 7, 17 (CEP3, 7, 17) and the 9p21-locus (LSI9p21) for diagnosing bladder cancer (BC) is time- and cost-intensive and requires a manual investigation of the sample by a well-trained investigator thus overall limiting its use in clinical diagnostics and large-scaled epidemiological studies. Here we introduce a new computer-assisted FISH spot analysis tool enabling an automated, objective and quantitative assessment of FISH patterns in the urinary sediment. Utilizing a controllable microscope workstation, the microscope software Scan^R was programmed to allow automatic batch-scanning of up to 32 samples and identifying quadruple FISH signals in DAPI-scanned nuclei of urinary sediments. The assay allowed a time- and cost-efficient, automated and objective assessment of CEP3, 7 and 17 FISH signals and facilitated the quantification of nuclei harboring specific FISH patterns in all cells of the urinary sediment. To explore the diagnostic capability of the developed tool, we analyzed the abundance of 51 different FISH patterns in a pilot set of urine specimens from 14 patients with BC and 21 population controls (PC). Herein, the results of the fully automated approach yielded a high degree of conformity when compared to those obtained by an expert-guided re-evaluation of archived scans. The best cancer-identifying pattern was characterized by a concurrent gain of CEP3, 7 and 17. Overall, our automated analysis refines current FISH protocols and encourages its use to establish reliable diagnostic cutoffs in future large-scale studies with well-characterized specimens-collectives.",
keywords = "Aged, Aged, 80 and over, Automation, Laboratory, Case-Control Studies, Centromere, Chromosome Aberrations, Chromosomes, Human, Pair 17, Chromosomes, Human, Pair 3, Chromosomes, Human, Pair 7, Chromosomes, Human, Pair 9, Diagnosis, Computer-Assisted, Female, Humans, Image Interpretation, Computer-Assisted, In Situ Hybridization, Fluorescence, Male, Middle Aged, Pilot Projects, Software, Urinary Bladder Neoplasms, Urine",
author = "K{\"o}hler, {Christina U} and Laura Martin and Nadine Bonberg and Thomas Behrens and Thomas Deix and Katharina Braun and Joachim Noldus and Karl-Heinz J{\"o}ckel and Raimund Erbel and Florian Sommerer and Andrea Tannapfel and Volker Harth and K{\"a}fferlein, {Heiko U} and Thomas Br{\"u}ning",
note = "Copyright {\textcopyright} 2014 Elsevier Inc. All rights reserved.",
year = "2014",
month = jun,
day = "13",
doi = "10.1016/j.bbrc.2014.04.137",
language = "English",
volume = "448",
pages = "467--72",
journal = "BIOCHEM BIOPH RES CO",
issn = "0006-291X",
publisher = "Academic Press Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - Automated quantification of FISH signals in urinary cells enables the assessment of chromosomal aberration patterns characteristic for bladder cancer

AU - Köhler, Christina U

AU - Martin, Laura

AU - Bonberg, Nadine

AU - Behrens, Thomas

AU - Deix, Thomas

AU - Braun, Katharina

AU - Noldus, Joachim

AU - Jöckel, Karl-Heinz

AU - Erbel, Raimund

AU - Sommerer, Florian

AU - Tannapfel, Andrea

AU - Harth, Volker

AU - Käfferlein, Heiko U

AU - Brüning, Thomas

N1 - Copyright © 2014 Elsevier Inc. All rights reserved.

PY - 2014/6/13

Y1 - 2014/6/13

N2 - Targeting the centromeres of chromosomes 3, 7, 17 (CEP3, 7, 17) and the 9p21-locus (LSI9p21) for diagnosing bladder cancer (BC) is time- and cost-intensive and requires a manual investigation of the sample by a well-trained investigator thus overall limiting its use in clinical diagnostics and large-scaled epidemiological studies. Here we introduce a new computer-assisted FISH spot analysis tool enabling an automated, objective and quantitative assessment of FISH patterns in the urinary sediment. Utilizing a controllable microscope workstation, the microscope software Scan^R was programmed to allow automatic batch-scanning of up to 32 samples and identifying quadruple FISH signals in DAPI-scanned nuclei of urinary sediments. The assay allowed a time- and cost-efficient, automated and objective assessment of CEP3, 7 and 17 FISH signals and facilitated the quantification of nuclei harboring specific FISH patterns in all cells of the urinary sediment. To explore the diagnostic capability of the developed tool, we analyzed the abundance of 51 different FISH patterns in a pilot set of urine specimens from 14 patients with BC and 21 population controls (PC). Herein, the results of the fully automated approach yielded a high degree of conformity when compared to those obtained by an expert-guided re-evaluation of archived scans. The best cancer-identifying pattern was characterized by a concurrent gain of CEP3, 7 and 17. Overall, our automated analysis refines current FISH protocols and encourages its use to establish reliable diagnostic cutoffs in future large-scale studies with well-characterized specimens-collectives.

AB - Targeting the centromeres of chromosomes 3, 7, 17 (CEP3, 7, 17) and the 9p21-locus (LSI9p21) for diagnosing bladder cancer (BC) is time- and cost-intensive and requires a manual investigation of the sample by a well-trained investigator thus overall limiting its use in clinical diagnostics and large-scaled epidemiological studies. Here we introduce a new computer-assisted FISH spot analysis tool enabling an automated, objective and quantitative assessment of FISH patterns in the urinary sediment. Utilizing a controllable microscope workstation, the microscope software Scan^R was programmed to allow automatic batch-scanning of up to 32 samples and identifying quadruple FISH signals in DAPI-scanned nuclei of urinary sediments. The assay allowed a time- and cost-efficient, automated and objective assessment of CEP3, 7 and 17 FISH signals and facilitated the quantification of nuclei harboring specific FISH patterns in all cells of the urinary sediment. To explore the diagnostic capability of the developed tool, we analyzed the abundance of 51 different FISH patterns in a pilot set of urine specimens from 14 patients with BC and 21 population controls (PC). Herein, the results of the fully automated approach yielded a high degree of conformity when compared to those obtained by an expert-guided re-evaluation of archived scans. The best cancer-identifying pattern was characterized by a concurrent gain of CEP3, 7 and 17. Overall, our automated analysis refines current FISH protocols and encourages its use to establish reliable diagnostic cutoffs in future large-scale studies with well-characterized specimens-collectives.

KW - Aged

KW - Aged, 80 and over

KW - Automation, Laboratory

KW - Case-Control Studies

KW - Centromere

KW - Chromosome Aberrations

KW - Chromosomes, Human, Pair 17

KW - Chromosomes, Human, Pair 3

KW - Chromosomes, Human, Pair 7

KW - Chromosomes, Human, Pair 9

KW - Diagnosis, Computer-Assisted

KW - Female

KW - Humans

KW - Image Interpretation, Computer-Assisted

KW - In Situ Hybridization, Fluorescence

KW - Male

KW - Middle Aged

KW - Pilot Projects

KW - Software

KW - Urinary Bladder Neoplasms

KW - Urine

U2 - 10.1016/j.bbrc.2014.04.137

DO - 10.1016/j.bbrc.2014.04.137

M3 - SCORING: Journal article

C2 - 24802410

VL - 448

SP - 467

EP - 472

JO - BIOCHEM BIOPH RES CO

JF - BIOCHEM BIOPH RES CO

SN - 0006-291X

IS - 4

ER -