Literature DB >> 18023025

Osteopontin as a molecular prognostic marker for melanoma.

Javier Rangel1, Mehdi Nosrati, Sima Torabian, Ladan Shaikh, Stanley P L Leong, Chris Haqq, James R Miller, Richard W Sagebiel, Mohammed Kashani-Sabet.   

Abstract

BACKGROUND: Osteopontin has been suggested as a marker of disease progression in patients with melanoma because of its overexpression in recent microarray analyses. However, its prognostic role in melanoma has not been fully defined.
METHODS: Osteopontin expression status was examined using immunohistochemical analysis of a tissue microarray that contained primary cutaneous melanomas from 345 patients. The correlation between osteopontin expression and several histologic markers for melanoma was assessed by using the Chi-square test and the Le directional test. The impact of osteopontin expression on recurrence-free survival (RFS) and disease-specific survival (DSS) of patients with melanoma was examined using Cox regression and Kaplan-Meier analyses. The impact of increasing osteopontin expression on sentinel lymph node (SLN) metastasis was assessed using logistic regression analysis.
RESULTS: High osteopontin expression was associated with increased tumor thickness (P = .037), Clark level (P = .035), and mitotic index (P = .046). Kaplan-Meier analysis demonstrated an association between osteopontin expression and reduced RFS (P < .03) and DSS (P = .05). Multivariate Cox regression analysis demonstrated that high osteopontin immunostaining had an independent impact on the DSS of this melanoma cohort (P = .049). In addition, osteopontin expression was significantly predictive of SLN metastasis (P = .009) and SLN burden, as assessed by the mean number of SLN metastases (P = .0025). Multivariate logistic regression analysis demonstrated an independent role for osteopontin expression in predicting SLN status (P = .0062).
CONCLUSIONS: The current results validated the role of osteopontin as an independent prognostic marker for melanoma and provided new evidence for its predictive role in melanoma lymph node metastasis. 2007 American Cancer Society

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18023025     DOI: 10.1002/cncr.23147

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  40 in total

1.  Gene expression profiling of paraffin-embedded primary melanoma using the DASL assay identifies increased osteopontin expression as predictive of reduced relapse-free survival.

Authors:  Caroline Conway; Angana Mitra; Rosalyn Jewell; Juliette Randerson-Moor; Samira Lobo; Jérémie Nsengimana; Sara Edward; D Scott Sanders; Martin Cook; Barry Powell; Andy Boon; Faye Elliott; Floor de Kort; Margaret A Knowles; D Timothy Bishop; Julia Newton-Bishop
Journal:  Clin Cancer Res       Date:  2009-11-03       Impact factor: 12.531

2.  Melanoma prognostic model using tissue microarrays and genetic algorithms.

Authors:  Bonnie E Gould Rothberg; Aaron J Berger; Annette M Molinaro; Antonio Subtil; Michael O Krauthammer; Robert L Camp; William R Bradley; Stephan Ariyan; Harriet M Kluger; David L Rimm
Journal:  J Clin Oncol       Date:  2009-11-02       Impact factor: 44.544

3.  Plasma markers for identifying patients with metastatic melanoma.

Authors:  Harriet M Kluger; Kathleen Hoyt; Antonella Bacchiocchi; Tina Mayer; Jonathan Kirsch; Yuval Kluger; Mario Sznol; Stephan Ariyan; Annette Molinaro; Ruth Halaban
Journal:  Clin Cancer Res       Date:  2011-04-12       Impact factor: 12.531

Review 4.  Biomarkers Predictive of Survival and Response to Immune Checkpoint Inhibitors in Melanoma.

Authors:  Emanuelle M Rizk; Angelina M Seffens; Megan H Trager; Michael R Moore; Larisa J Geskin; Robyn D Gartrell-Corrado; Winston Wong; Yvonne M Saenger
Journal:  Am J Clin Dermatol       Date:  2020-02       Impact factor: 7.403

Review 5.  Review of diagnostic, prognostic, and predictive biomarkers in melanoma.

Authors:  Jacob S Ankeny; Brian Labadie; Jason Luke; Eddy Hsueh; Jane Messina; Jonathan S Zager
Journal:  Clin Exp Metastasis       Date:  2018-05-02       Impact factor: 5.150

6.  Rhabdoid tumor: gene expression clues to pathogenesis and potential therapeutic targets.

Authors:  Samantha Gadd; Simone Treiger Sredni; Chiang-Ching Huang; Elizabeth J Perlman
Journal:  Lab Invest       Date:  2010-03-08       Impact factor: 5.662

7.  Melanoma sentinel node biopsy and prediction models for relapse and overall survival.

Authors:  A Mitra; C Conway; C Walker; M Cook; B Powell; S Lobo; M Chan; M Kissin; G Layer; J Smallwood; C Ottensmeier; P Stanley; H Peach; H Chong; F Elliott; M M Iles; J Nsengimana; J H Barrett; D T Bishop; J A Newton-Bishop
Journal:  Br J Cancer       Date:  2010-09-21       Impact factor: 7.640

8.  A multimarker prognostic assay for primary cutaneous melanoma.

Authors:  Mohammed Kashani-Sabet; Suraj Venna; Mehdi Nosrati; Javier Rangel; Antje Sucker; Friederike Egberts; Frederick L Baehner; Jeff Simko; Stanley P L Leong; Chris Haqq; Axel Hauschild; Dirk Schadendorf; James R Miller; Richard W Sagebiel
Journal:  Clin Cancer Res       Date:  2009-11-03       Impact factor: 12.531

9.  Tumor necrosis is associated with increased alphavbeta3 integrin expression and poor prognosis in nodular cutaneous melanomas.

Authors:  Ingeborg M Bachmann; Rita G Ladstein; Oddbjørn Straume; George N Naumov; Lars A Akslen
Journal:  BMC Cancer       Date:  2008-12-05       Impact factor: 4.430

Review 10.  Biomarkers in melanoma.

Authors:  H Gogas; A M M Eggermont; A Hauschild; P Hersey; P Mohr; D Schadendorf; A Spatz; R Dummer
Journal:  Ann Oncol       Date:  2009-08       Impact factor: 32.976

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.