Literature DB >> 17350668

Utility of SKP2 and MIB-1 in grading follicular lymphoma using quantitative imaging analysis.

Kai Zhang1, Jeffrey W Prichard, Shawn Yoder, Jitakshi De, Fan Lin.   

Abstract

Follicular lymphoma is classified into grades (G)1, 2, and 3 based on the number of centroblasts in neoplastic follicles. However, the accuracy of manually counting these centroblasts is limited by certain cells (large centrocytes, follicular dendritic cells, and histiocytes) that could mimic centroblast morphology. The reproducibility of follicular lymphoma grading is dependent upon observer experience; therefore, significant variations occur. This study is to explore a more objective, reliable way of grading follicular lymphoma using a quantitative imaging system in conjunction with immunostains with antibodies to proliferation markers MIB-1 and S-phase kinase-associated protein 2 (SKP2). Fifty-eight follicular lymphomas (G1, n = 23; G2, n = 18; and G3, n = 17) were studied on formalin-fixed, paraffin-embedded sections. Positive nuclear staining of both Ki-67 and SKP2 was recorded using the quantitative Clarient ACIS II system (Aliso Viejo, CA, USA). Ten high-power fields (x400) from randomly selected neoplastic follicles were counted by a pathologist blinded to the previously assigned morphologic grade. The results show that the percentages of Ki-67+ and SKP2+ cells significantly differ among the different grades of follicular lymphoma. A higher grade of follicular lymphoma is associated with a higher percentage of Ki-67+ and SKP2+ cells. The overall SKP2+% cells are substantially lower than Ki-67+% cells in the same grade of follicular lymphoma. Statistical significance is observed in Ki-67+ cells between follicular lymphoma G1 and follicular lymphoma G3 and between G1 and G2. In contrast, statistical significance is noted in SKP2+% cells between follicular lymphoma G1 and follicular lymphoma G3 and between follicular lymphoma G2 and follicular lymphoma G3. The findings suggest that the SKP2 expression has better discrimination with grades of follicular lymphoma than Ki-67 expression. Compared with traditional methods, quantitation of SKP2 expression using a quantitative image analysis system might be a useful and objective approach in grading follicular lymphoma.

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Year:  2007        PMID: 17350668     DOI: 10.1016/j.humpath.2006.11.021

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  7 in total

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Journal:  Virchows Arch       Date:  2010-11-18       Impact factor: 4.064

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Authors:  Carlos López; Joaquín Jaén Martinez; Marylène Lejeune; Patricia Escrivà; Maria T Salvadó; Lluis E Pons; Tomás Alvaro; Jordi Baucells; Marcial García-Rojo; Xavier Cugat; Ramón Bosch
Journal:  Histochem Cell Biol       Date:  2009-08-04       Impact factor: 4.304

3.  Effects of image compression on automatic count of immunohistochemically stained nuclei in digital images.

Authors:  Carlos López; Marylène Lejeune; Patricia Escrivà; Ramón Bosch; Maria Teresa Salvadó; Lluis E Pons; Jordi Baucells; Xavier Cugat; Tomás Alvaro; Joaquín Jaén
Journal:  J Am Med Inform Assoc       Date:  2008-08-28       Impact factor: 4.497

4.  Ki-67 expression in pulmonary tumors.

Authors:  Lucian R Chirieac
Journal:  Transl Lung Cancer Res       Date:  2016-10

5.  Software-automated counting of Ki-67 proliferation index correlates with pathologic grade and disease progression of follicular lymphomas.

Authors:  Mark A Samols; Nathan E Smith; Jonathan M Gerber; Milena Vuica-Ross; Christopher D Gocke; Kathleen H Burns; Michael J Borowitz; Toby C Cornish; Amy S Duffield
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Authors:  Marta Santisteban; Carol Reynolds; Emily G Barr Fritcher; Marlene H Frost; Robert A Vierkant; Stephanie S Anderson; Amy C Degnim; Daniel W Visscher; V Shane Pankratz; Lynn C Hartmann
Journal:  Breast Cancer Res Treat       Date:  2009-09-23       Impact factor: 4.872

7.  Ki-67 as a prognostic marker in mantle cell lymphoma-consensus guidelines of the pathology panel of the European MCL Network.

Authors:  Wolfram Klapper; Eva Hoster; Olaf Determann; Ilske Oschlies; Jeroen van der Laak; Françoise Berger; Heinz Wolfram Bernd; José Cabeçadas; Elias Campo; Sergio Cogliatti; Martin Leo Hansmann; Philip M Kluin; Roman Kodet; Yuri A Krivolapov; Christoph Loddenkemper; Harald Stein; Peter Möller; Thomas E F Barth; Konrad Müller-Hermelink; Andreas Rosenwald; German Ott; Stefano Pileri; Elisabeth Ralfkiaer; Grzegorz Rymkiewicz; Johan H van Krieken; Hans Heinrich Wacker; Michael Unterhalt; Wolfgang Hiddemann; Martin Dreyling
Journal:  J Hematop       Date:  2009-06-16       Impact factor: 0.196

  7 in total

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