Literature DB >> 8800559

Cytokeratin labeling of breast cancer cells extracted from paraffin-embedded tissue for bivariate flow cytometric analysis.

J K Glogovac1, P L Porter, D E Banker, P S Rabinovitch.   

Abstract

Flow cytometric analyses of DNA content and proliferative fractions have been found to be important prognostic indicators in a variety of human tumors. However, variability in reported results and interlaboratory differences in single-parameter DNA measurements have impeded the broader use of this methodology. Multiparameter DNA analysis, especially that which allows the ploidy and cell cycle measurements to be targeted specifically to tumor cells, may improve the quality and reliability of these measurements. Cytokeratin labeling simultaneously with DNA allows the identification of the malignant epithelial cells within tumor samples that have been microdissected for tumor enrichment and, thus, can increase the accuracy of tumor ploidy and cell cycle measurements. There are a limited number of reports of cytokeratin labeling of paraffin-extracted cells, and results with standard preparation procedures can be highly variable. We have developed an improved technique for cytokeratin labeling of paraffin-extracted cells that is based on predigestion of tissue with collagenase prior to brief pepsin digestion. This two-step enzymatic digestion produces a superior cytokeratin vs. DNA bivariate analysis, with increased intensity and greater uniformity of cytokeratin labeling. This method should increase the accuracy of ploidy and proliferation measurements from paraffin-embedded tissue both for retrospective studies and in clinical settings in which only fixed tissue is available.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8800559     DOI: 10.1002/(SICI)1097-0320(19960701)24:3<260::AID-CYTO9>3.0.CO;2-L

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  11 in total

1.  Single nucleotide polymorphism array analysis of flow-sorted epithelial cells from frozen versus fixed tissues for whole genome analysis of allelic loss in breast cancer.

Authors:  Elizabeth L Schubert; Li Hsu; Laura A Cousens; Jeri Glogovac; Steve Self; Brian J Reid; Peter S Rabinovitch; Peggy L Porter
Journal:  Am J Pathol       Date:  2002-01       Impact factor: 4.307

2.  Loss of heterozygosity analysis using whole genome amplification, cell sorting, and fluorescence-based PCR.

Authors:  T G Paulson; P C Galipeau; B J Reid
Journal:  Genome Res       Date:  1999-05       Impact factor: 9.043

3.  Genome-wide copy number alterations in subtypes of invasive breast cancers in young white and African American women.

Authors:  Lenora W M Loo; Yinghui Wang; Erin M Flynn; Mary Jo Lund; Erin J Aiello Bowles; Diana S M Buist; Jonathan M Liff; Elaine W Flagg; Ralph J Coates; J William Eley; Li Hsu; Peggy L Porter
Journal:  Breast Cancer Res Treat       Date:  2011-01-25       Impact factor: 4.872

4.  Effect of prediagnostic alcohol consumption on survival after breast cancer in young women.

Authors:  Kerryn W Reding; Janet R Daling; David R Doody; Cecilia A O'Brien; Peggy L Porter; Kathleen E Malone
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-07-29       Impact factor: 4.254

5.  Differential patterns of allelic loss in estrogen receptor-positive infiltrating lobular and ductal breast cancer.

Authors:  L W M Loo; C Ton; Y-W Wang; D I Grove; H Bouzek; N Vartanian; M-G Lin; X Yuan; T L Lawton; J R Daling; K E Malone; C I Li; L Hsu; P L Porter
Journal:  Genes Chromosomes Cancer       Date:  2008-12       Impact factor: 5.006

6.  Cervical carcinoma-associated fibroblasts are DNA diploid and do not show evidence for somatic genetic alterations.

Authors:  Willem Ernst Corver; Natalja Tatjana Ter Haar; Gert Jan Fleuren; Jan Oosting
Journal:  Cell Oncol (Dordr)       Date:  2011-11-01       Impact factor: 6.730

7.  Clonal evolution and therapeutic resistance in solid tumors.

Authors:  Michael T Barrett; Elizabeth Lenkiewicz; Lisa Evers; Tara Holley; Christian Ruiz; Lukas Bubendorf; Aleksander Sekulic; Ramesh K Ramanathan; Daniel D Von Hoff
Journal:  Front Pharmacol       Date:  2013-01-28       Impact factor: 5.810

Review 8.  High-throughput sequencing for biology and medicine.

Authors:  Wendy Weijia Soon; Manoj Hariharan; Michael P Snyder
Journal:  Mol Syst Biol       Date:  2013       Impact factor: 11.429

9.  Epidemiologic and molecular risk factors for contralateral breast cancer among young women.

Authors:  C I Li; K E Malone; P L Porter; J R Daling
Journal:  Br J Cancer       Date:  2003-08-04       Impact factor: 7.640

10.  Loss of heterozygosity and copy number alterations in flow-sorted bulky cervical cancer.

Authors:  Sabrina A H M van den Tillaart; Wim E Corver; Dina Ruano Neto; Natalja T ter Haar; Jelle J Goeman; J Baptist M Z Trimbos; Gertjan J Fleuren; Jan Oosting
Journal:  PLoS One       Date:  2013-07-09       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.