Literature DB >> 28790109

Prospective Validation of Molecular Prognostic Markers in Cutaneous Melanoma: A Correlative Analysis of E1690.

Mohammed Kashani-Sabet1, Mehdi Nosrati2, James R Miller2, Richard W Sagebiel2, Stanley P L Leong2, Andrew Lesniak3, Schuyler Tong2, Sandra J Lee4,5, John M Kirkwood5,6.   

Abstract

Purpose: To validate the prognostic impact of combined expression levels of three markers (SPP1, RGS1, and NCOA3) in melanoma specimens from patients enrolled in the E1690 clinical trial of high-dose or low-dose IFNα-2b versus observation.Experimental Design: Tissue was available from 248 patients. Marker expression was determined by digital imaging of immunohistochemically stained slides. The prognostic impact of each marker was first assessed by recording its expression value relative to the median. A multimarker index was then developed to combine marker expression levels by counting for each patient the number of markers with high expression. The impact of the multimarker index on relapse-free survival (RFS) and overall survival (OS) was assessed using Kaplan-Meier analysis, and both univariate and multivariate Cox regression analyses.
Results: By Kaplan-Meier analysis, high multimarker expression scores were significantly predictive of RFS (P < 0.001) and OS (P < 0.001). Stepwise multivariate Cox regression analysis with backward elimination that included routine clinical and histologic prognostic factors revealed high multimarker expression scores and tumor thickness as the only factors significantly and independently predicting RFS and OS. Stepwise multivariate Cox regression analyses that also included treatment type and number of positive lymph nodes generated identical results for both RFS and OS. In the molecularly defined low-risk subgroup, patients treated with high-dose IFN had a significantly improved RFS compared with patients in the other two subgroups (P < 0.05).Conclusions: These results validate the independent impact of combined expression levels of SPP1, RGS1, and NCOA3 on survival of melanoma in a prospectively collected cohort. Clin Cancer Res; 23(22); 6888-92. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28790109      PMCID: PMC5690823          DOI: 10.1158/1078-0432.CCR-17-1317

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  21 in total

Review 1.  Molecular markers in melanoma.

Authors:  M Kashani-Sabet
Journal:  Br J Dermatol       Date:  2014-01       Impact factor: 9.302

2.  Distinct sets of genetic alterations in melanoma.

Authors:  John A Curtin; Jane Fridlyand; Toshiro Kageshita; Hetal N Patel; Klaus J Busam; Heinz Kutzner; Kwang-Hyun Cho; Setsuya Aiba; Eva-Bettina Bröcker; Philip E LeBoit; Dan Pinkel; Boris C Bastian
Journal:  N Engl J Med       Date:  2005-11-17       Impact factor: 91.245

3.  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

Review 4.  Prognostic and predictive biomarkers in melanoma: an update.

Authors:  Mona Foth; Jasper Wouters; Ciaran de Chaumont; Peter Dynoodt; William M Gallagher
Journal:  Expert Rev Mol Diagn       Date:  2015-12-22       Impact factor: 5.225

5.  Osteopontin stimulates tumor growth and activation of promatrix metalloproteinase-2 through nuclear factor-kappa B-mediated induction of membrane type 1 matrix metalloproteinase in murine melanoma cells.

Authors:  S Philip; A Bulbule; G C Kundu
Journal:  J Biol Chem       Date:  2001-09-19       Impact factor: 5.157

6.  Prognostic factors analysis of 17,600 melanoma patients: validation of the American Joint Committee on Cancer melanoma staging system.

Authors:  C M Balch; S J Soong; J E Gershenwald; J F Thompson; D S Reintgen; N Cascinelli; M Urist; K M McMasters; M I Ross; J M Kirkwood; M B Atkins; J A Thompson; D G Coit; D Byrd; R Desmond; Y Zhang; P Y Liu; G H Lyman; A Morabito
Journal:  J Clin Oncol       Date:  2001-08-15       Impact factor: 44.544

7.  High- and low-dose interferon alfa-2b in high-risk melanoma: first analysis of intergroup trial E1690/S9111/C9190.

Authors:  J M Kirkwood; J G Ibrahim; V K Sondak; J Richards; L E Flaherty; M S Ernstoff; T J Smith; U Rao; M Steele; R H Blum
Journal:  J Clin Oncol       Date:  2000-06       Impact factor: 44.544

8.  Osteopontin as a molecular prognostic marker for melanoma.

Authors:  Javier Rangel; Mehdi Nosrati; Sima Torabian; Ladan Shaikh; Stanley P L Leong; Chris Haqq; James R Miller; Richard W Sagebiel; Mohammed Kashani-Sabet
Journal:  Cancer       Date:  2008-01-01       Impact factor: 6.860

Review 9.  Revisiting determinants of prognosis in cutaneous melanoma.

Authors:  Sarah A Weiss; Douglas Hanniford; Eva Hernando; Iman Osman
Journal:  Cancer       Date:  2015-08-26       Impact factor: 6.860

10.  Final version of 2009 AJCC melanoma staging and classification.

Authors:  Charles M Balch; Jeffrey E Gershenwald; Seng-Jaw Soong; John F Thompson; Michael B Atkins; David R Byrd; Antonio C Buzaid; Alistair J Cochran; Daniel G Coit; Shouluan Ding; Alexander M Eggermont; Keith T Flaherty; Phyllis A Gimotty; John M Kirkwood; Kelly M McMasters; Martin C Mihm; Donald L Morton; Merrick I Ross; Arthur J Sober; Vernon K Sondak
Journal:  J Clin Oncol       Date:  2009-11-16       Impact factor: 44.544

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  12 in total

Review 1.  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

2.  SPP1 functions as an enhancer of cell growth in hepatocellular carcinoma targeted by miR-181c.

Authors:  Junqing Wang; Fengjie Hao; Xiaochun Fei; Yongjun Chen
Journal:  Am J Transl Res       Date:  2019-11-15       Impact factor: 4.060

3.  NCOA3, a new player in melanoma susceptibility and a therapeutic target.

Authors:  Vladimir Bezrookove; Mohammed Kashani-Sabet
Journal:  Cancer Gene Ther       Date:  2022-03-23       Impact factor: 5.987

4.  Nuclear Receptor Coactivator NCOA3 Regulates UV Radiation-Induced DNA Damage and Melanoma Susceptibility.

Authors:  David de Semir; Vladimir Bezrookove; Mehdi Nosrati; Altaf A Dar; James R Miller; Stanley P Leong; Kevin B Kim; Wilson Liao; Liliana Soroceanu; Sean McAllister; Robert J Debs; Dirk Schadendorf; Sancy A Leachman; James E Cleaver; Mohammed Kashani-Sabet
Journal:  Cancer Res       Date:  2021-03-25       Impact factor: 13.312

5.  Computational Drug Repositioning Identifies Statins as Modifiers of Prognostic Genetic Expression Signatures and Metastatic Behavior in Melanoma.

Authors:  Wesley Y Yu; Sheena T Hill; E Ricky Chan; John J Pink; Kevin Cooper; Sancy Leachman; Amanda W Lund; Rajan Kulkarni; Jeremy S Bordeaux
Journal:  J Invest Dermatol       Date:  2021-01-06       Impact factor: 7.590

Review 6.  Identification of risk in cutaneous melanoma patients: Prognostic and predictive markers.

Authors:  David M Hyams; Robert W Cook; Antonio C Buzaid
Journal:  J Surg Oncol       Date:  2018-12-12       Impact factor: 3.454

7.  Serum markers improve current prediction of metastasis development in early-stage melanoma patients: a machine learning-based study.

Authors:  Filippo Mancuso; Sergio Lage; Javier Rasero; José Luis Díaz-Ramón; Aintzane Apraiz; Gorka Pérez-Yarza; Pilar Ariadna Ezkurra; Cristina Penas; Ana Sánchez-Diez; María Dolores García-Vazquez; Jesús Gardeazabal; Rosa Izu; Karmele Mujika; Jesús Cortés; Aintzane Asumendi; María Dolores Boyano
Journal:  Mol Oncol       Date:  2020-06-24       Impact factor: 6.603

8.  A panel of Transcription factors identified by data mining can predict the prognosis of head and neck squamous cell carcinoma.

Authors:  Boxin Zhang; Haihui Wang; Ziyan Guo; Xinhai Zhang
Journal:  Cancer Cell Int       Date:  2019-11-15       Impact factor: 5.722

9.  Aberrant RNA Splicing Events Driven by Mutations of RNA-Binding Proteins as Indicators for Skin Cutaneous Melanoma Prognosis.

Authors:  Chao Mei; Pei-Yuan Song; Wei Zhang; Hong-Hao Zhou; Xi Li; Zhao-Qian Liu
Journal:  Front Oncol       Date:  2020-10-15       Impact factor: 6.244

10.  BET inhibitor suppresses melanoma progression via the noncanonical NF-κB/SPP1 pathway.

Authors:  Guangtong Deng; Furong Zeng; Juan Su; Shuang Zhao; Rui Hu; Wu Zhu; Shuo Hu; Xiang Chen; Mingzhu Yin
Journal:  Theranostics       Date:  2020-09-15       Impact factor: 11.556

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