Literature DB >> 17550378

Standardizing evaluation of sarcoma proliferation- higher Ki-67 expression in the tumor periphery than the center.

Josefin Fernebro1, Jacob Engellau, Annette Persson, Anders Rydholm, Mef Nilbert.   

Abstract

Soft tissue sarcomas often present as large and histopathologically heterogenous tumors. Proliferation has repeatedly been identified as a prognostic factor and immunostaining for Ki-67 represents the most commonly used proliferation marker. There is, however, a lack of consensus on how to evaluate Ki-67 staining regarding optimal cut-off levels, selection of tumor areas, and the number of tumor cells to evaluate. We assessed the impact of targeting peripheral versus central tumor areas using tissue microarray-based staining for Ki-67 throughout the tumor diameter in 25 leiomyosarcomas. In 18/25 tumors, Ki-67 expression was higher in the tumor periphery. If 10% staining tumor nuclei was used as cut-off and the maximal Ki-67 staining section in the tumor periphery was considered, 21/25 tumors would have been classified as highly proliferative compared to 14/25 if the tumor center had been analyzed. Similar results were obtained also when higher cut-off levels were used and if the mean expression rather than the maximal expression was considered and the differences were neither caused by necrosis nor by hypoxia (assessed as HIF-1alpha expression). Our findings suggest that the determination of proliferation in soft tissue sarcomas should be standardized for clinical application of Ki-67 as a prognostic marker.

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Year:  2007        PMID: 17550378     DOI: 10.1111/j.1600-0463.2007.apm_650.x

Source DB:  PubMed          Journal:  APMIS        ISSN: 0903-4641            Impact factor:   3.205


  3 in total

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Authors:  Mengtian Sun; Jingliang Cheng; Yong Zhang; Jie Bai; Feifei Wang; Yun Meng; Zhenqian Li
Journal:  Eur Radiol       Date:  2017-11-15       Impact factor: 5.315

Review 2.  False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review.

Authors:  Anastasia Chalkidou; Michael J O'Doherty; Paul K Marsden
Journal:  PLoS One       Date:  2015-05-04       Impact factor: 3.240

3.  Value of 11C-Choline PET/CT-Based Multi-Metabolic Parameter Combination in Distinguishing Early-Stage Prostate Cancer From Benign Prostate Diseases.

Authors:  Shuoming Zhou; Hongliang Fu; Changming Liu; Ziqiang Zhu; Jiabin Zhang; Wubin Weng; Jian Kang; Qiang Liu
Journal:  Front Oncol       Date:  2021-02-01       Impact factor: 6.244

  3 in total

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