Literature DB >> 10721263

Nuclear morphometry of MIB-1 positive and negative tumor cells in primary and metastatic malignant melanoma of the skin.

M Karbowniczek1, M Chosia, W Domagała.   

Abstract

The purpose of this study was the evaluation of nuclear area, nuclear axis ratio, perimeter and roundness of nuclei of tumor cells with and without Ki-67 antigen expression (demonstrated immunohistochemically using MIB-1 antibody) in primary and metastatic malignant melanoma of the skin. The parameters were further analyzed with respect to their association with the depth of malignant invasion according to Clark [7] and tumor thickness according to Breslow [6]. 142 malignant melanomas (53 primary and 89 metastatic), were assessed employing a computerized image analyzer Quantimet 600S (Leica). The mean nuclear area of MIB-1 positive nuclei was significantly larger than that of the negative ones (p < 0.0001) both in primary and metastatic malignant melanoma. In comparison to the primary melanoma the nuclei of metastatic melanoma cells had a larger area and were more rounded, while the MIB-1 positive nuclei additionally showed a greater degree of polymorphism of their area and shape. With growing invasion thickness according to Breslow and increased Clark's level, the mean nuclear area of tumor cells increased, and their shape became more round. The MIB-1 positive tumor cell nuclei of primary melanomas with metastases were significantly out of round in comparison to primary melanomas without metastases. The results indicate an association between the area and shape of melanoma cell nuclei and the presence of metastases, and between the nuclear area of tumor cells and such factors related to poor prognosis as the depth of invasion and the tumor thickness.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10721263

Source DB:  PubMed          Journal:  Pol J Pathol        ISSN: 1233-9687            Impact factor:   1.072


  4 in total

1.  Nuclear morphometric features in benign breast tissue and risk of subsequent breast cancer.

Authors:  Yan Cui; Esther A Koop; Paul J van Diest; Rita A Kandel; Thomas E Rohan
Journal:  Breast Cancer Res Treat       Date:  2006-10-24       Impact factor: 4.872

2.  A nuclear circularity-based classifier for diagnostic distinction of desmoplastic from spindle cell melanoma in digitized histological images.

Authors:  Manuel Schöchlin; Stephanie E Weissinger; Arnd R Brandes; Markus Herrmann; Peter Möller; Jochen K Lennerz
Journal:  J Pathol Inform       Date:  2014-10-21

3.  Computerized Cytological Features for Papillary Thyroid Cancer Diagnosis-Preliminary Report.

Authors:  Shyang-Rong Shih; I-Shiow Jan; Kuen-Yuan Chen; Wan-Yu Chuang; Chih-Yuan Wang; Yung-Lien Hsiao; Tien-Chun Chang; Argon Chen
Journal:  Cancers (Basel)       Date:  2019-10-25       Impact factor: 6.639

4.  FABP7 inhibits proliferation and invasion abilities of cutaneous squamous cell carcinoma cells via the Notch signaling pathway.

Authors:  Zhonghui Sun; Yunyi Guo; Danlu Zhang; Guolong Zhang; Ying Zhang; Xiuli Wang
Journal:  Oncol Lett       Date:  2022-06-10       Impact factor: 3.111

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.