Literature DB >> 21566513

Effect of tumor heterogeneity on the assessment of Ki67 labeling index in well-differentiated neuroendocrine tumors metastatic to the liver: implications for prognostic stratification.

Zhaohai Yang1, Laura H Tang, David S Klimstra.   

Abstract

The Ki67 labeling index is known to correlate with survival in patients with neuroendocrine tumors (NETs). A grading scheme recently endorsed by the World Health Organization for gastroenteropancreatic NETs classifies well-differentiated NETs into 2 categories based on the Ki67 labeling index: low (G1) and intermediate grades (G2). Tumor heterogeneity is a common finding in many tumors including NETs. Metastatic NETs to the liver are often diagnosed by radiographically guided needle core biopsy from which the Ki67 index is determined, which randomly samples the lesion without being targeted to regions that may show a higher proliferative rate. Whether the Ki67 index obtained from this type of limited material represents the whole tumor has been questioned. Forty-five surgically resected liver metastases of well-differentiated NETs were retrieved. A 9 core (3 core-triplets) tissue microarray (TMA) was constructed from the paraffin blocks of each tumor, each triplet considered to represent a virtual biopsy. Immunohistochemical staining for Ki67 was performed on TMA and whole slides, and the Ki67 labeling indices were determined by digital image analysis. Correlation of the Ki67 index with patient survival was analyzed. Forty-seven percent of cases showed intratumoral heterogeneity in Ki67 index that translated into discrepant grades among subsections on the whole slide. A similar trend was recapitulated on the virtual biopsies, although to a lesser degree. When the definitive grade of the tumor was based on the highest Ki67 index identified on the whole slide, the virtual biopsies perfectly predicted G1 cases (100%), but were much less accurate for G2 cases (47.8% with 3 biopsies and 34.8% with single biopsy). Accordingly, the predictive value for G1 on the virtual biopsies was low (64.7% and 59.5% for 3 and 1 biopsy, respectively), but was perfect for G2 (100%). By Kaplan-Meier survival analysis, there was a statistically significant difference between G1 and G2 in terms of overall survival, disease-free survival, and progression-free survival when graded on either whole-slide subsections or virtual biopsies. On the whole slides, the highest Ki67 grade showed a better correlation with overall survival than the mean Ki67 grade. In summary, by image analysis, we found that about half of the NETs metastatic to the liver show intratumoral heterogeneity resulting in discrepant Ki67 grade. In most cases, in particular G1, the virtual biopsy is representative of the whole slide, but for G2 the representation is <50%. Nevertheless, grades based on virtual biopsy had statistically significant prognostic values on patient survival, and there is no clear difference between the 3 and single virtual biopsy. Ki67 staining of core biopsies usually provides an adequately reliable method of proliferation assessment for prognosis of metastatic NETs to the liver, although the choice of treatment may be affected by intratumoral grade heterogeneity.

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Year:  2011        PMID: 21566513     DOI: 10.1097/PAS.0b013e31821a0696

Source DB:  PubMed          Journal:  Am J Surg Pathol        ISSN: 0147-5185            Impact factor:   6.394


  101 in total

1.  IMP3 expression in small-intestine neuroendocrine neoplasms: a new predictor of recurrence.

Authors:  Sara Massironi; Alessandro Del Gobbo; Federica Cavalcoli; Stefano Fiori; Dario Conte; Alessio Pellegrinelli; Massimo Milione; Stefano Ferrero
Journal:  Endocrine       Date:  2017-02-17       Impact factor: 3.633

2.  Grading of well-differentiated pancreatic neuroendocrine tumors is improved by the inclusion of both Ki67 proliferative index and mitotic rate.

Authors:  Chad M McCall; Chanjuan Shi; Toby C Cornish; David S Klimstra; Laura H Tang; Olca Basturk; Liew Jun Mun; Trevor A Ellison; Christopher L Wolfgang; Michael A Choti; Richard D Schulick; Barish H Edil; Ralph H Hruban
Journal:  Am J Surg Pathol       Date:  2013-11       Impact factor: 6.394

3.  Is the combination of MR and CT findings useful in determining the tumor grade of pancreatic neuroendocrine tumors?

Authors:  Fumihito Toshima; Dai Inoue; Takahiro Komori; Kotaro Yoshida; Norihide Yoneda; Tetsuya Minami; Osamu Matsui; Hiroko Ikeda; Toshifumi Gabata
Journal:  Jpn J Radiol       Date:  2017-03-03       Impact factor: 2.374

4.  KI-67 heterogeneity in well differentiated gastro-entero-pancreatic neuroendocrine tumors: when is biopsy reliable for grade assessment?

Authors:  Federica Grillo; Luca Valle; Diego Ferone; Manuela Albertelli; Maria Pia Brisigotti; Giuseppe Cittadini; Alessandro Vanoli; Roberto Fiocca; Luca Mastracci
Journal:  Endocrine       Date:  2017-07-19       Impact factor: 3.633

Review 5.  Updates on Imaging of Liver Tumors.

Authors:  Arya Haj-Mirzaian; Ana Kadivar; Ihab R Kamel; Atif Zaheer
Journal:  Curr Oncol Rep       Date:  2020-04-16       Impact factor: 5.075

6.  Interlaboratory variability of MIB1 staining in well-differentiated pancreatic neuroendocrine tumors.

Authors:  Annika Blank; Laura Wehweck; Ilaria Marinoni; Laura Amanda Boos; Frank Bergmann; Anja Maria Schmitt; Aurel Perren
Journal:  Virchows Arch       Date:  2015-09-17       Impact factor: 4.064

Review 7.  Neuroendocrine tumors of the pancreas: current concepts and controversies.

Authors:  Michelle D Reid; Serdar Balci; Burcu Saka; N Volkan Adsay
Journal:  Endocr Pathol       Date:  2014-03       Impact factor: 3.943

8.  Grading of EUS-FNA cytologic specimens from patients with pancreatic neuroendocrine neoplasms: it is time move to tissue core biopsy?

Authors:  Rakesh Vinayek; Gabriele Capurso; Alberto Larghi
Journal:  Gland Surg       Date:  2014-11

9.  Contrast-enhanced harmonic endoscopic ultrasound using time-intensity curve analysis predicts pathological grade of pancreatic neuroendocrine neoplasm.

Authors:  Saimon Takada; Hironari Kato; Yosuke Saragai; Shinichiro Muro; Daisuke Uchida; Takeshi Tomoda; Kazuyuki Matsumoto; Shigeru Horiguchi; Noriyuki Tanaka; Hiroyuki Okada
Journal:  J Med Ultrason (2001)       Date:  2019-08-03       Impact factor: 1.314

10.  Ki-67 cytological index can distinguish well-differentiated from poorly differentiated pancreatic neuroendocrine tumors: a comparative cytohistological study of 53 cases.

Authors:  Gabriele Carlinfante; Paola Baccarini; Debora Berretti; Tiziana Cassetti; Maurizio Cavina; Rita Conigliaro; Alessandro De Pellegrin; Luca Di Tommaso; Carlo Fabbri; Adele Fornelli; Andrea Frasoldati; Giorgio Gardini; Luisa Losi; Livia Maccio; Raffaele Manta; Nico Pagano; Romano Sassatelli; Silvia Serra; Lorenzo Camellini
Journal:  Virchows Arch       Date:  2014-05-08       Impact factor: 4.064

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