For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
11
views
232
references
 Top references
cited by
28
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      550
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The GDNF Family: a Role in Cancer?

      review-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The glial cell line–derived neurotrophic factor (GDNF) family of ligands (GFLs) comprising of GDNF, neurturin, artemin, and persephin plays an important role in the development and maintenance of the central and peripheral nervous system, renal morphogenesis, and spermatogenesis. Here we review our current understanding of GFL biology, and supported by recent progress in the area, we examine their emerging role in endocrine-related and other non–hormone-dependent solid neoplasms. The ability of GFLs to elicit actions that resemble those perturbed in an oncogenic phenotype, alongside mounting evidence of GFL involvement in tumor progression, presents novel opportunities for therapeutic intervention.

          Related collections

          Most cited references232

          • Record: found
          • Abstract: found
          • Article: found

          Stromal gene expression predicts clinical outcome in breast cancer.

          Greg Finak, Nicholas Bertos, François Pépin … (2008)
          Although it is increasingly evident that cancer is influenced by signals emanating from tumor stroma, little is known regarding how changes in stromal gene expression affect epithelial tumor progression. We used laser capture microdissection to compare gene expression profiles of tumor stroma from 53 primary breast tumors and derived signatures strongly associated with clinical outcome. We present a new stroma-derived prognostic predictor (SDPP) that stratifies disease outcome independently of standard clinical prognostic factors and published expression-based predictors. The SDPP predicts outcome in several published whole tumor-derived expression data sets, identifies poor-outcome individuals from multiple clinical subtypes, including lymph node-negative tumors, and shows increased accuracy with respect to previously published predictors, especially for HER2-positive tumors. Prognostic power increases substantially when the predictor is combined with existing outcome predictors. Genes represented in the SDPP reveal the strong prognostic capacity of differential immune responses as well as angiogenic and hypoxic responses, highlighting the importance of stromal biology in tumor progression.
          Article 0 comments Cited 595 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            X chromosomal abnormalities in basal-like human breast cancer.

            Andrea Richardson, Zhigang C Wang, Arcangela De Nicolo … (2006)
            Sporadic basal-like cancers (BLC) are a distinct class of human breast cancers that are phenotypically similar to BRCA1-associated cancers. Like BRCA1-deficient tumors, most BLC lack markers of a normal inactive X chromosome (Xi). Duplication of the active X chromosome and loss of Xi characterized almost half of BLC cases tested. Others contained biparental but nonheterochromatinized X chromosomes or gains of X chromosomal DNA. These abnormalities did not lead to a global increase in X chromosome transcription but were associated with overexpression of a small subset of X chromosomal genes. Other, equally aneuploid, but non-BLC rarely displayed these X chromosome abnormalities. These results suggest that X chromosome abnormalities contribute to the pathogenesis of BLC, both inherited and sporadic.
            Article 0 comments Cited 292 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Genetic reclassification of histologic grade delineates new clinical subtypes of breast cancer.

              Anna Ivshina, Joshy George, Oleg Senko … (2006)
              Histologic grading of breast cancer defines morphologic subtypes informative of metastatic potential, although not without considerable interobserver disagreement and clinical heterogeneity particularly among the moderately differentiated grade 2 (G2) tumors. We posited that a gene expression signature capable of discerning tumors of grade 1 (G1) and grade 3 (G3) histology might provide a more objective measure of grade with prognostic benefit for patients with G2 disease. To this end, we studied the expression profiles of 347 primary invasive breast tumors analyzed on Affymetrix microarrays. Using class prediction algorithms, we identified 264 robust grade-associated markers, six of which could accurately classify G1 and G3 tumors, and separate G2 tumors into two highly discriminant classes (termed G2a and G2b genetic grades) with patient survival outcomes highly similar to those with G1 and G3 histology, respectively. Statistical analysis of conventional clinical variables further distinguished G2a and G2b subtypes from each other, but also from histologic G1 and G3 tumors. In multivariate analyses, genetic grade was consistently found to be an independent prognostic indicator of disease recurrence comparable with that of lymph node status and tumor size. When incorporated into the Nottingham prognostic index, genetic grade enhanced detection of patients with less harmful tumors, likely to benefit little from adjuvant therapy. Our findings show that a genetic grade signature can improve prognosis and therapeutic planning for breast cancer patients, and support the view that low- and high-grade disease, as defined genetically, reflect independent pathobiological entities rather than a continuum of cancer progression.
              Article 0 comments Cited 267 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Dong-Xu Liu
                Journal
                Journal ID (nlm-ta): Neoplasia
                Journal ID (iso-abbrev): Neoplasia
                Title: Neoplasia (New York, N.Y.)
                Publisher: Neoplasia Press
                ISSN (Print): 1522-8002
                ISSN (Electronic): 1476-5586
                Publication date PMC-release: 12 December 2017
                Publication date Collection: January 2018
                Publication date (Electronic): 12 December 2017
                Volume: 20
                Issue: 1
                Pages: 99-117
                Affiliations
                [* ]University of Auckland, Auckland, New Zealand
                [† ]The Centre for Biomedical and Chemical Sciences, School of Science, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
                [‡ ]Liggins Institute, University of Auckland, Auckland, New Zealand
                [§ ]Cancer Science Institute of Singapore and Department of Pharmacology, National University of Singapore, Singapore; Tsinghua Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, Guangdong, P. R. China
                Author notes
                [* ]Address all correspondence to: Dong-Xu Liu, The Centre for Biomedical and Chemical Sciences, School of Science, Faculty of Health and Environmental Sciences, Auckland University of Technology, C-42, Private Bag 92006, Victoria Street West, Auckland 1142, New Zealand.The Centre for Biomedical and Chemical SciencesSchool of Science, Faculty of Health and Environmental SciencesAuckland University of TechnologyC-42, Private Bag 92006, Victoria Street WestAuckland1142New Zealand dong-xu.liu@ 123456aut.ac.nz
                [1]

                Both authors have contributed equally to this review.

                [2]

                Current address: 11 Wairere Road, The Gardens, Auckland 2105, New Zealand.

                [3]

                Current address: Flat 2, 241A Railton Road, London SE24 0LY, UK.

                Article
                Publisher ID: S1476-5586(17)30447-5
                DOI: 10.1016/j.neo.2017.10.010
                PMC ID: 5730419
                PubMed ID: 29245123
                SO-VID: 4e221dbd-a793-4b93-a805-57d1b24ea363
                Copyright © © 2017 The Authors
                License:

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                Date received : 4 October 2017
                Date revision received : 31 October 2017
                Date accepted : 31 October 2017
                Categories
                Subject: Review article

                Data availability:

                Comments

                Comment on this article

                scite_

                Similar content550

                See all similar

                Cited by28

                See all cited by

                Most referenced authors3,764

                See all reference authors