Literature DB >> 28853695

Paradoxical results obtained with Ki67-labeling and PHH3-mitosis index in glial tumors: a literature analysis.

İlhan Elmaci, Meric A Altinoz, Fatih Han Bolukbasi, Ozlem Yapicier, Aydin Sav.   

Abstract

Precise tiered tumor grading is essential for predicting prognosis, selecting different treatment options and for follow-up of brain tumor patients. Ki67 labeling index (LI) is widely employed in assessing aggressiveness of glial brain tumors. However, Ki67 is subject to interlaboratory variability, and its antigen is expressed on all cell cycle phases except G0, which hinders its usage as a precise criterion for assessing cell proliferation. Indeed, there exist peculiar observations pertinent to increases of Ki67 index in glial tumors following radiotherapy or treatment with tyrosine kinase inhibitors. Moreover, we have witnessed a reduced Ki67 labeling in a gemistocytic glioma during its rapid recurrence under temozolomide treatment. Therefore, we reviewed pitfalls in employing Ki67 indices for predicting glial tumor biology and tried to answer whether the mitotic marker PHH3 (phosphorylated histone H3) could provide additional information in predicting glial tumor biology. PHH3-based assessment of proliferating cell fraction provides novel potentials, but it has also its own weaknesses. It has not yet been determined whether it would be more advantageous to report: a mitotic count (MC) per unit-area (e.g., 10 high power fields (HPF)) or a mitotic index (MI) (per 1,000 tumor cells). Further, there exist peculiarities in terms of unexpectedly low or high PHH3 values in pilocytic astrocytomas and angiocentric gliomas, respectively. Indeed, we encountered almost no staining with PHH3 in our unique gemistocytic astrocytoma case. Hence, at least in some glial malignancies, PHH3 may not be necessary for cell proliferation. Awareness of the weaknesses of proliferation markers in brain tumors may improve patient monitoring and treatment.
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Year:  2017        PMID: 28853695     DOI: 10.5414/NP301028

Source DB:  PubMed          Journal:  Clin Neuropathol        ISSN: 0722-5091            Impact factor:   1.368


  1 in total

1.  Molecular pathological recognition of freshly excised human glioma using terahertz ATR spectroscopy.

Authors:  Ning Mu; Chuanyan Yang; Degang Xu; Shi Wang; Kang Ma; Ying Lai; Peiwen Guo; Shuixian Zhang; Yuye Wang; Hua Feng; Tunan Chen; Jianquan Yao
Journal:  Biomed Opt Express       Date:  2021-12-07       Impact factor: 3.732

  1 in total

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