Automated image analysis of proliferating cells in carcinoma of the larynx

Laitakari, Jaakko; Harrison, D.F.N.; Stenbäck, Frej

doi:10.1080/0001648021000028135

Cited by 10 publications

(12 citation statements)

References 22 publications

(34 reference statements)

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“…Our results show that whereas there was a good correlation between the two systems, the semiautomated quantitative analysis system allowed for a wider range of staining detection and more accurate evaluation of low-intensity staining. It was confirmed by numerous published studies that automated image analysis allows for detection of low expression staining not definable by manual scoring (13)(14)(15)(16)(17)(18)(19)(20)(21)(22). Thus, we believe that it may be useful in the automated screening and evaluation of novel biomarkers in breast cancer.…”

Section: Discussionsupporting

confidence: 55%

“…The ACIS II system is highly sensitive and can analyze stain intensity levels in a precise manner (range of 0-255 units). This system has been used previously to analyze immunohistochemistry on whole tissue sections and on tissue microarrays (13)(14)(15)(16)(17)(18)(19)(20)(21)(22). We have tested the reproducibility of the ACIS II in pilot experiments before this study by scoring several tissue microarrays on separate occasions.…”

Section: Immunohistochemistry For Amacrmentioning

confidence: 99%

“…For example, the interpretation of HER-2/neu by immunohistochemistry using the Hecept test varies among pathologists, raising doubts about the reproducibility of the results. Image analysis offers more reproducible results of target signal expression with a continuous, rather than nominal scale (13)(14)(15)(16)(17)(18)(19)(20)(21)(22). Quantitative image analysis has not been fully evaluated in the assessment to tissue biomakers, especially when using high-density tissue microarrays.…”

Section: Introductionmentioning

confidence: 99%

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α-Methylacyl-CoA Racemase Protein Expression Is Associated with the Degree of Differentiation in Breast Cancer Using Quantitative Image Analysis

Witkiewicz

Varambally²,

Shen³

et al. 2005

Cancer Epidemiology, Biomarkers &Amp; Prevention

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A-Methylacyl-CoA racemase (AMACR) is an enzyme involved in the metabolism of fatty acids and is an important tissue biomarker in the prostate to distinguish normal glands from prostate cancer. Here, for the first time, we evaluated the expression of AMACR protein in normal breast, ductal carcinoma in situ, and invasive carcinomas. By immunofluorescence and immunohistochemistry, AMACR was seen in cytoplasmic granules consistent with a mitochondrial and peroxisomal localization. AMACR expression was determined by immunohistochemistry on 160 invasive carcinomas with long follow-up, using a high-density tissue microarray, and evaluated by two methods: standard pathology review and quantitative image analysis. AMACR was overexpressed in 42 of 160 (26%) invasive carcinomas, and it was associated with a decrease in tumor differentiation, a feature of aggressive breast cancer. Quantitative analysis allowed for better discrimination and more accurate evaluation of lowintensity staining. In conclusion, AMACR protein is expressed in normal breast and its expression seems to increase in invasive carcinomas. We observed stronger AMACR protein expression in high-grade carcinomas when compared with low-grade ones. Quantitative image analysis is a novel way to accurately and reproducibly evaluate immunohistochemistry in breast tissue samples using highdensity tissue microarrays. (Cancer Epidemiol Biomarkers Prev 2005;14(6):1418 -23)

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Section: Discussionsupporting

confidence: 55%

Section: Immunohistochemistry For Amacrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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α-Methylacyl-CoA Racemase Protein Expression Is Associated with the Degree of Differentiation in Breast Cancer Using Quantitative Image Analysis

Witkiewicz

Varambally²,

Shen³

et al. 2005

Cancer Epidemiology, Biomarkers &Amp; Prevention

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“…Quantitative densitometry and image analysis were performed using the CAS 200 (Beckton-Dickinson, Leiden, The Netherlands) automated image analyzer and proprietary software Cell Measurement Program [13,14]. Individual vessel size, vessel shape (determined as the square of the perimeter divided by the vessel cross-sectional area), and staining intensity by CD34 were measured using quantitative densitometry and morphometry ( Figure 1).…”

Section: Morphometry and Automated Image Analysismentioning

confidence: 99%

Morphometric analysis using automated image analysis of CD34-positive vessels in salivary gland acinic cell carcinoma

Luukkaa

Laitakari

Vahlberg

et al. 2007

Acta Oto-Laryngologica

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In all, 10 385 vessels were measured, of which 9873 were from specimens from patients who were alive 5 years after treatment (n=32, group I) and 512 were from patients who died of disease (n=2, group II). The following results were found in group II versus group I: mean vessel size 469 microm vs 272 microm (p=0.024); vessel irregularity 28.3 microm vs 22.3 microm (p<0.001); CD34 staining intensity 0.555 microm vs 0.584 microm (p=0.024).

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“…Proliferating cell nuclear antigen appears in late G1 phase, increases during S phase, and declines during G2 and M phases of the cell cycle [7], and is a potential biomarker of a variety of tumours [8–10], including laryngeal carcinomas [11–17]. The fraction of PCNA positive cells progressively increases with the degree of epithelial hyperplasia in the larynx [18, 19], and inversely correlates with the degree of differentiation in larynx cancer [14, 15, 20]. The ratio of PCNA positive cells was also related to the occurrence of nodal metastases [11–14, 17] and PCNA immunolabelling in biopsy specimens was useful in identifying patients with clinically negative lymph nodes who were at considerable risk of occult metastases and may benefit from elective neck dissection [15].…”

Section: Introductionmentioning

confidence: 99%

Preliminary results of prognostic significance of proliferating cell nuclear antigen expression in advanced primary larynx carcinomas and lymph node metastases

Kupisz¹,

Stepulak²,

Zdunek³

et al. 2010

aoms

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IntroductionThe aim of this study was to investigate the prognostic significance of proliferating cell nuclear antigen (PCNA) expression in laryngeal carcinoma in relation to clinicopathological features. Special emphasis was placed on examining the relationship of PCNA expression in the primary tumour and PCNA expression in corresponding lymph node metastases obtained from the same patients.Material and methodsThe study included 60 patients with advanced larynx carcinoma who had received treatment and follow-up for at least 5 years. Sixty laryngeal carcinoma specimens and metastatic lymph nodes from 24 patients were examined for immunohistochemical PCNA expression.ResultsThe percentages of PCNA positive cells were significantly higher in the primary tumours which developed lymph node metastases than in those without metastases. The fraction of PCNA immunolabelled cells in metastatic lymph nodes increased significantly when compared with the PCNA positive cell score in their corresponding primary tumours obtained from the same patient. There was a significant difference in PCNA index score in primary tumours between the group of patients who survived a 5-year period and those who died within 5 years after treatment.ConclusionsOur data demonstrate that a high proliferation index in primary larynx tumours is retained and increased in corresponding lymph node metastases. Measurement of the fraction of cancer cells stained for PCNA in primary larynx carcinomas can be helpful in selecting tumours with high aggressiveness potential that are more likely to develop neck metastases and thereby in identifying patients who need elective lymph node dissection or additional treatment.

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Automated image analysis of proliferating cells in carcinoma of the larynx

Abstract: Automated image analysis of cell populations allowed the identification of populations of malignant cells and provided information on the severity of preneoplastic and neoplastic conditions of use in studies of tumor behavior and with potential clinical application.

Cited by 10 publications

References 22 publications

α-Methylacyl-CoA Racemase Protein Expression Is Associated with the Degree of Differentiation in Breast Cancer Using Quantitative Image Analysis

α-Methylacyl-CoA Racemase Protein Expression Is Associated with the Degree of Differentiation in Breast Cancer Using Quantitative Image Analysis

Morphometric analysis using automated image analysis of CD34-positive vessels in salivary gland acinic cell carcinoma

Preliminary results of prognostic significance of proliferating cell nuclear antigen expression in advanced primary larynx carcinomas and lymph node metastases

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