Literature DB >> 12469137

Comparison of automated cellular imaging system and manual microscopy for immunohistochemically stained cryostat sections of lung cancer specimens applying p53, ki-67 and p120.

Wolfgang Hilbe1, Anne Gächter, Hans-Christoph Duba, Stephan Dirnhofer, Wolfgang Eisterer, Thomas Schmid, Andreas Mildner, Johannes Bodner, Ewald Wöll.   

Abstract

Seventy-one frozen lung tissue specimens from 52 patients suffering from non-small cell lung cancer (NSCLC) were analysed in this study. Cryostat sections were stained with monoclonal antibodies against p53, ki-67 and p120, all of which are of prognostic value in NSCLC. Slides were evaluated by standard manual microscopy (MM) and using a new Automated Cellular Imaging System (ACIS). The results obtained with ACIS correlated significantly with MM examination (p<0.001). However, ACIS showed a higher sensitivity, especially for specimens with a low infiltration volume. In 15 (6.8%) MM negative cases singular positive cells were identified with ACIS. In cases with a high infiltration volume subjective (MM) quantitation tended to overestimate the number of infiltrating cells. ACIS guaranteed a high reproducibility of data. We conclude that ACIS-assisted analysis is a valid means of investigating the p53, ki-67 and p120 antibody expression in cryostat sections of lung cancer specimens. ACIS can complement conventional manual microscopy due to its higher accuracy, sensitivity and better reproducibility of data.

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Year:  2003        PMID: 12469137

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  8 in total

1.  Visualization of IL-22-expressing Lymphocytes Using Reporter Mice.

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Journal:  J Vis Exp       Date:  2017-01-25       Impact factor: 1.355

2.  The novel role of the mu opioid receptor in lung cancer progression: a laboratory investigation.

Authors:  Biji Mathew; Frances E Lennon; Jessica Siegler; Tamara Mirzapoiazova; Nurbek Mambetsariev; Saad Sammani; Lynnette M Gerhold; Patrick J LaRiviere; Chin-Tu Chen; Joe G N Garcia; Ravi Salgia; Jonathan Moss; Patrick A Singleton
Journal:  Anesth Analg       Date:  2010-12-14       Impact factor: 5.108

3.  Immunohistochemical typing of non-small cell lung cancer on cryostat sections: correlation with clinical parameters and prognosis.

Authors:  W Hilbe; S Dirnhofer; F Oberwasserlechner; W Eisterer; K Ammann; T Schmid; G Hilbe; J Thaler; E Wöll
Journal:  J Clin Pathol       Date:  2003-10       Impact factor: 3.411

4.  Grading invasive ductal carcinoma of the breast: advantages of using automated proliferation index instead of mitotic count.

Authors:  Ossama Tawfik; Bruce F Kimler; Marilyn Davis; Christopher Stasik; Sue-Min Lai; Matthew S Mayo; Fang Fan; John K Donahue; Ivan Damjanov; Patricia Thomas; Carol Connor; William R Jewell; Holly Smith; Carol J Fabian
Journal:  Virchows Arch       Date:  2007-04-26       Impact factor: 4.064

5.  MDM2 and Ki-67 predict for distant metastasis and mortality in men treated with radiotherapy and androgen deprivation for prostate cancer: RTOG 92-02.

Authors:  Li-Yan Khor; Kyounghwa Bae; Rebecca Paulus; Tahseen Al-Saleem; M Elizabeth Hammond; David J Grignon; Mingxin Che; Varagur Venkatesan; Roger W Byhardt; Marvin Rotman; Gerald E Hanks; Howard M Sandler; Alan Pollack
Journal:  J Clin Oncol       Date:  2009-05-26       Impact factor: 44.544

6.  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

7.  Ki67 and PIM1 expression predict outcome in mantle cell lymphoma treated with high dose therapy, stem cell transplantation and rituximab: a Cancer and Leukemia Group B 59909 correlative science study.

Authors:  Eric D Hsi; Sin-Ho Jung; Raymond Lai; Jeffrey L Johnson; James R Cook; Dan Jones; Sven Devos; Bruce D Cheson; Lloyd E Damon; Jonathan Said
Journal:  Leuk Lymphoma       Date:  2008-11

8.  Automated recognition of cell phenotypes in histology images based on membrane- and nuclei-targeting biomarkers.

Authors:  Bilge Karaçali; Alexandra P Vamvakidou; Aydin Tözeren
Journal:  BMC Med Imaging       Date:  2007-09-06       Impact factor: 1.930

  8 in total

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