Literature DB >> 10999743

Reliable and sensitive analysis of occult bone marrow metastases using automated cellular imaging.

K D Bauer1, J de la Torre-Bueno, I J Diel, D Hawes, W J Decker, C Priddy, B Bossy, S Ludmann, K Yamamoto, A S Masih, F P Espinoza, D S Harrington.   

Abstract

The presence of occult bone marrow metastases (OM) has been reported to represent an important prognostic indicator for patients with operable breast cancer and other malignancies. Assaying for OM most commonly involves labor-intensive manual microscopic analysis. The present report examines the performance of a recently developed automated cellular image analysis system (ACIS; ChromaVision Medical Systems, Inc.) for identifying and enumerating OM in human breast cancer specimens. OM analysis was performed after immunocytochemical staining. Specimens used in this study consisted of normal bone marrow (n = 10), bone marrow spiked with carcinoma cells (n = 20), and bone marrow obtained from breast cancer patients (n = 39). The reproducibility of ACIS-assisted analysis for tumor cell detection was examined by having a pathologist evaluate montage images generated from multiple ACIS runs of five specimens. Independent ACIS-assisted analysis resulted in the detection of an identical number of tumor cells for each specimen in all instrument runs. Additional studies were performed to analyze OM from 39 breast cancer patients with two pathologists performing parallel analysis using either manual microscopy or ACIS-assisted analysis. In 17 of the 39 cases (44%), specimens were classified by the pathologist as positive for tumor cells after ACIS-assisted analysis, whereas the same pathologist failed to identify tumor cells on the same slides after analysis by manual microscopy. These studies indicate that the ACIS-assisted analysis provides excellent sensitivity and reproducibility for OM detection, relative to manual microscopy. Such performance may enable an improved approach for disease staging and stratifying patients for therapeutic intervention.

Entities:  

Mesh:

Year:  2000        PMID: 10999743

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  20 in total

1.  Complement Inhibitors Block Complement C3 Opsonization and Improve Targeting Selectivity of Nanoparticles in Blood.

Authors:  Hanmant Gaikwad; Yue Li; Geoffrey Gifford; Ernest Groman; Nirmal K Banda; Laura Saba; Robert Scheinman; Guankui Wang; Dmitri Simberg
Journal:  Bioconjug Chem       Date:  2020-06-29       Impact factor: 4.774

2.  Image analysis systems for the detection of disseminated breast cancer cells on bone-marrow cytospins.

Authors:  Sven Becker; Graziella Becker-Pergola; Tanja Fehm; Robert Emig; Diethelm Wallwiener; Erich-Franz Solomayer
Journal:  J Clin Lab Anal       Date:  2005       Impact factor: 2.352

3.  Combining multiple biomarker models in logistic regression.

Authors:  Zheng Yuan; Debashis Ghosh
Journal:  Biometrics       Date:  2008-03-05       Impact factor: 2.571

4.  Automated quantification of nuclear immunohistochemical markers with different complexity.

Authors:  Carlos López; Marylène Lejeune; María Teresa Salvadó; Patricia Escrivà; Ramón Bosch; Lluis E Pons; Tomás Alvaro; Jordi Roig; Xavier Cugat; Jordi Baucells; Joaquín Jaén
Journal:  Histochem Cell Biol       Date:  2008-01-03       Impact factor: 4.304

5.  Akt phosphorylation at Ser473 predicts benefit of paclitaxel chemotherapy in node-positive breast cancer.

Authors:  Sherry X Yang; Joseph P Costantino; Chungyeul Kim; Eleftherios P Mamounas; Dat Nguyen; Jong-Hyeon Jeong; Norman Wolmark; Kelley Kidwell; Soonmyung Paik; Sandra M Swain
Journal:  J Clin Oncol       Date:  2010-05-17       Impact factor: 44.544

6.  Association of tumor-associated trypsin inhibitor (TATI) expression with molecular markers, pathologic features and clinical outcomes of urothelial carcinoma of the urinary bladder.

Authors:  Oliver Patschan; Shahrokh F Shariat; Daher C Chade; Pierre I Karakiewicz; Raheela Ashfaq; Yair Lotan; Kristina Hotakainen; Ulf-Håkan Stenman; Anders Bjartell
Journal:  World J Urol       Date:  2011-07-08       Impact factor: 4.226

7.  Mesenchymal stem cells expressing GD2 and CD271 correlate with breast cancer-initiating cells in bone marrow.

Authors:  Ugo De Giorgi; Evan N Cohen; Hui Gao; Michal Mego; Bang-Ning Lee; Ashutosh Lodhi; Massimo Cristofanilli; Anthony Lucci; James M Reuben
Journal:  Cancer Biol Ther       Date:  2011-05-01       Impact factor: 4.742

8.  A rare-cell detector for cancer.

Authors:  Robert T Krivacic; Andras Ladanyi; Douglas N Curry; H B Hsieh; Peter Kuhn; Danielle E Bergsrud; Jane F Kepros; Todd Barbera; Michael Y Ho; Lan Bo Chen; Richard A Lerner; Richard H Bruce
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-12       Impact factor: 11.205

9.  Role of nanoparticle valency in the nondestructive magnetic-relaxation-mediated detection and magnetic isolation of cells in complex media.

Authors:  Charalambos Kaittanis; Santimukul Santra; J Manuel Perez
Journal:  J Am Chem Soc       Date:  2009-09-09       Impact factor: 15.419

10.  Trefoil factor 3 overexpression in prostatic carcinoma: prognostic importance using tissue microarrays.

Authors:  Dennis A Faith; William B Isaacs; James D Morgan; Helen L Fedor; Jessica L Hicks; Leslie A Mangold; Patrick C Walsh; Alan W Partin; Elizabeth A Platz; Jun Luo; Angelo M De Marzo
Journal:  Prostate       Date:  2004-11-01       Impact factor: 4.104

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.