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. 2021 Jul;163(7):1911-1920.
doi: 10.1007/s00701-020-04608-y. Epub 2020 Oct 21.

The histological representativeness of glioblastoma tissue samples

Affiliations

The histological representativeness of glioblastoma tissue samples

Vilde Elisabeth Mikkelsen et al. Acta Neurochir (Wien). 2021 Jul.

Abstract

Background: Glioblastomas (GBMs) are known for having a vastly heterogenous histopathology. Several studies have shown that GBMs can be histologically undergraded due to sampling errors of small tissue samples. We sought to explore to what extent histological features in GBMs are dependent on the amount of viable tissue on routine slides from both biopsied and resected tumors.

Methods: In 106 newly diagnosed GBM patients, we investigated associations between the presence or degree of 24 histopathological and two immunohistochemical features and the tissue amount on hematoxylin-eosin (HE) slides. The amount of viable tissue was semiquantitatively categorized as "sparse," "medium," or "substantial" for each case. Tissue amount was also assessed for associations with MRI volumetrics and the type of surgical procedure.

Results: About half (46%) of the assessed histological and immunohistochemical features were significantly associated with tissue amount. The significant features were less present or of a lesser degree when the tissue amount was smaller. Among the significant features were most of the features relevant for diffuse astrocytic tumor grading, i.e., small necroses, palisades, microvascular proliferation, atypia, mitotic count, and Ki-67/MIB-1 proliferative index (PI).

Conclusion: A substantial proportion of the assessed histological features were at risk of being underrepresented when the amount of viable tissue on HE slides was limited. Most of the grading features were dependent on tissue amount, which underlines the importance of considering sampling errors in diffuse astrocytic tumor grading. Our findings also highlight the importance of adequate tissue collection to increase the quality of diagnostics and histological research.

Keywords: Biopsy; Glioblastoma; Grading; Histopathology; Magnetic resonance imaging; Sampling error.

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Conflict of interest statement

O.S. is a previous unpaid member of a national advisory committee on treatment guidelines for brain tumors. All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.

Figures

Fig. 1
Fig. 1
Examples of the three categories of tissue amount. The area of viable tissue was subjectively categorized in each case into the categories “sparse” (a, d), “medium” (b, e), or “substantial” (c, f). df Annotations of the viable proportion of the tissue in the same cases (ac). In these examples, the collective areas of viable tissue were 32 mm2 for the “sparse” category (d), 110 mm2 for the “medium” category (e), and 279 mm2 for the “substantial” category (f). All three examples had no additional routine HE slides. The “sparse” example had no additional FFPE slides from previously frozen tissue, whereas both the “medium” and “substantial” example had one additional section from previously frozen tissue with sparse tissue amount. All three exemplified cases had resections. Hematoxylin-eosin stained tissue slides at × 0.5 magnification. Scale bars 5 mm. Tissue slides were scanned with a Hamamatsu NanoZoomer S60 scanner (Hamamatsu Photonics, Japan) and images created from exportations using the NDP.view2 software (version 2.7.52) (Hamamatsu)

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