Literature DB >> 28427516

Prognostic and predictive biomarkers in neuroendocrine tumours.

David L Chan1, Stephen J Clarke2, Connie I Diakos2, Paul J Roach3, Dale L Bailey4, Simron Singh5, Nick Pavlakis6.   

Abstract

Neuroendocrine tumours are extremely heterogeneous malignancies. Despite marked heterogeneity in clinical course and prognosis, few biomarkers exist to help predict prognosis and guide treatment. Many tumour-based biomarkers (Ki-67, mitotic count, genetic/epigenetic changes and microRNAs) exist, but only Ki-67 and mitotic count have strong evidence to support their routine use. Blood-based markers are easily repeatable, but currently established biomarkers (chromogranin A and urinary 5-HIAA) are difficult to measure accurately in practice. Structural imaging is used routinely via the TNM system. Functional imaging such as 68Ga-based and FDG PET may become valuable biomarkers with their increasing availability, aided by ongoing quantitative research. Multiple nomograms have been proposed to integrate the above factors, but most have not been prospectively validated and are difficult to use in practice. Further research should aim to establish robust new biomarkers and integrate existing ones to help optimise NET treatment.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; NETs; Neuroendocrine; Nomogram; Prognosis; Review

Mesh:

Substances:

Year:  2017        PMID: 28427516     DOI: 10.1016/j.critrevonc.2017.03.017

Source DB:  PubMed          Journal:  Crit Rev Oncol Hematol        ISSN: 1040-8428            Impact factor:   6.312


  18 in total

1.  Sequence of therapy and survival in patients with advanced pancreatic neuroendocrine tumours.

Authors:  E S Tsang; J M Loree; C Speers; H F Kennecke
Journal:  Curr Oncol       Date:  2020-08-01       Impact factor: 3.677

Review 2.  Prognostic and predictive factors on overall survival and surgical outcomes in pancreatic neuroendocrine tumors: recent advances and controversies.

Authors:  Lingaku Lee; Tetsuhide Ito; Robert T Jensen
Journal:  Expert Rev Anticancer Ther       Date:  2019-11-27       Impact factor: 4.512

Review 3.  Multilayered heterogeneity as an intrinsic hallmark of neuroendocrine tumors.

Authors:  Sergio Pedraza-Arévalo; Manuel D Gahete; Emilia Alors-Pérez; Raúl M Luque; Justo P Castaño
Journal:  Rev Endocr Metab Disord       Date:  2018-06       Impact factor: 6.514

4.  Dual PET Imaging in Bronchial Neuroendocrine Neoplasms: The NETPET Score as a Prognostic Biomarker.

Authors:  David L Chan; Gary A Ulaner; David Pattison; David Wyld; Rahul Ladwa; Julian Kirchner; Bob T Li; W Victoria Lai; Nick Pavlakis; Paul J Roach; Dale L Bailey
Journal:  J Nucl Med       Date:  2021-02-12       Impact factor: 10.057

5.  Increased DCLK1 correlates with the malignant status and poor outcome in malignant tumors: a meta-analysis.

Authors:  Wenhua Shi; Fangwei Li; Shaojun Li; Jian Wang; Qingting Wang; Xin Yan; Qianqian Zhang; Limin Chai; Manxiang Li
Journal:  Oncotarget       Date:  2017-08-10

Review 6.  Histopathological classification of non-functioning pituitary neuroendocrine tumors.

Authors:  Emilija Manojlovic-Gacic; Britt Edén Engström; Olivera Casar-Borota
Journal:  Pituitary       Date:  2018-04       Impact factor: 4.107

7.  Clinicopathological Characteristics and Prognostic Factors of Patients with Gastric Cancer Accompanying Neuroendocrine Differentiation (NEDGC).

Authors:  Ya-Ping Wang; Jun Hong; Jian Wang; Yi-Bing Bei; Han-Kun Hao; Lu-Chun Hua
Journal:  Cancer Manag Res       Date:  2020-06-03       Impact factor: 3.989

8.  The association of intra-therapeutic heterogeneity of somatostatin receptor expression with morphological treatment response in patients undergoing PRRT with [177Lu]-DOTATATE.

Authors:  Christoph Wetz; Philipp Genseke; Ivayla Apostolova; Christian Furth; Sammy Ghazzawi; Julian M M Rogasch; Imke Schatka; Michael C Kreissl; Frank Hofheinz; Oliver S Grosser; Holger Amthauer
Journal:  PLoS One       Date:  2019-05-15       Impact factor: 3.240

9.  A novel and validated nomogram to predict overall survival for gastric neuroendocrine neoplasms.

Authors:  Sheng Zhang; Yi Xin Tong; Xin Hua Zhang; Yu Jie Zhang; Xiang Shang Xu; Ai Tang Xiao; Teng Fei Chao; Jian Ping Gong
Journal:  J Cancer       Date:  2019-10-15       Impact factor: 4.207

10.  Prognostic value of a three-scale grading system based on combining molecular imaging with 68Ga-DOTATATE and 18F-FDG PET/CT in patients with metastatic gastroenteropancreatic neuroendocrine neoplasias.

Authors:  Ioannis Karfis; Gwennaëlle Marin; Hugo Levillain; Stylianos Drisis; Raoul Muteganya; Gabriela Critchi; Loubna Taraji-Schiltz; Carlos Artigas Guix; Leila Shaza; Meriem Elbachiri; Laura Mans; Godelieve Machiels; Alain Hendlisz; Patrick Flamen
Journal:  Oncotarget       Date:  2020-02-11
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