Literature DB >> 14695333

Progression in cutaneous malignant melanoma is associated with distinct expression profiles: a tissue microarray-based study.

Soledad R Alonso1, Pablo Ortiz, Marina Pollán, Beatriz Pérez-Gómez, Lydia Sánchez, Ma Jesús Acuña, Raquel Pajares, Francisco J Martínez-Tello, Carlos M Hortelano, Miguel A Piris, José L Rodríguez-Peralto.   

Abstract

Cutaneous malignant melanoma remains the leading cause of skin cancer death in industrialized countries. Clinical and histological variables that predict survival, such as Breslow's index, tumor size, ulceration, or vascular invasion have been identified in malignant melanoma. Nevertheless, the potential relevance of biological variables still awaits an in-depth exploration. Using tissue microarrays (TMAs), we retrospectively analyzed 165 malignant melanoma samples from 88 patients corresponding to distinct histological progression phases, radial, vertical, and metastases. A panel of 39 different antibodies for cell cycle, apoptosis, melanoma antigens, transcription factors, DNA mismatch repair, and other proteins was used. Integrating the information, the study has identified expression profiles distinguishing specific melanoma progression stages. Most of the detected alterations were linked to the control of cell cycle G1/S transition; cyclin D1 was expressed in radial cases 48% (12 of 25) with significant lost of expression in vertical cases 14% (9 of 65), P = 0.002; whereas p16(INK4a) (89% in vertical versus 71% in metastatic cases, P = 0.009) and p27(KIP1) (76% in radial versus 45% in vertical cases, P = 0.010) were diminished in advanced stages. The study also defines a combination of biological markers associated with shorter overall survival in patients with vertical growth phase melanoma, that provided a predictor model with four antibodies (Ki67, p16(INK4a), p21(CIP1), and Bcl-6). This predictor model was validated using an independent series of 72 vertical growth phase melanoma patients.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 14695333      PMCID: PMC1602212          DOI: 10.1016/s0002-9440(10)63110-0

Source DB:  PubMed          Journal:  Am J Pathol        ISSN: 0002-9440            Impact factor:   4.307


  40 in total

1.  Inactivation of the apoptosis effector Apaf-1 in malignant melanoma.

Authors:  M S Soengas; P Capodieci; D Polsky; J Mora; M Esteller; X Opitz-Araya; R McCombie; J G Herman; W L Gerald; Y A Lazebnik; C Cordón-Cardó; S W Lowe
Journal:  Nature       Date:  2001-01-11       Impact factor: 49.962

Review 2.  Murine models of malignant melanoma.

Authors:  M K Tietze; L Chin
Journal:  Mol Med Today       Date:  2000-10

3.  Expression and targeting of the apoptosis inhibitor, survivin, in human melanoma.

Authors:  D Grossman; J M McNiff; F Li; D C Altieri
Journal:  J Invest Dermatol       Date:  1999-12       Impact factor: 8.551

4.  Levels of cyclin D1 and D3 in malignant melanoma: deregulated cyclin D3 expression is associated with poor clinical outcome in superficial melanoma.

Authors:  V A Flørenes; R S Faye; G M Maelandsmo; J M Nesland; R Holm
Journal:  Clin Cancer Res       Date:  2000-09       Impact factor: 12.531

5.  Dual inactivation of RB and p53 pathways in RAS-induced melanomas.

Authors:  N Bardeesy; B C Bastian; A Hezel; D Pinkel; R A DePinho; L Chin
Journal:  Mol Cell Biol       Date:  2001-03       Impact factor: 4.272

6.  Caveolin-1 expression sensitizes fibroblastic and epithelial cells to apoptotic stimulation.

Authors:  J Liu; P Lee; F Galbiati; R N Kitsis; M P Lisanti
Journal:  Am J Physiol Cell Physiol       Date:  2001-04       Impact factor: 4.249

Review 7.  Genetic dissection of melanoma pathways in the mouse.

Authors:  F C Yang; G Merlino; L Chin
Journal:  Semin Cancer Biol       Date:  2001-06       Impact factor: 15.707

8.  Loss of nuclear p16 protein expression correlates with increased tumor cell proliferation (Ki-67) and poor prognosis in patients with vertical growth phase melanoma.

Authors:  O Straume; L Sviland; L A Akslen
Journal:  Clin Cancer Res       Date:  2000-05       Impact factor: 12.531

9.  Contact with fibrillar collagen inhibits melanoma cell proliferation by up-regulating p27KIP1.

Authors:  P Henriet; Z D Zhong; P C Brooks; K I Weinberg; Y A DeClerck
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-29       Impact factor: 11.205

10.  Analysis of G(1)/S checkpoint regulators in metastatic melanoma.

Authors:  I Sauroja; J Smeds; T Vlaykova; R Kumar; L Talve; M Hahka-Kemppinen; K Punnonen; C T Jansèn; K Hemminki; S Pyrhönen
Journal:  Genes Chromosomes Cancer       Date:  2000-08       Impact factor: 5.006

View more
  57 in total

1.  Cell cycle analysis can differentiate thin melanomas from dysplastic nevi and reveals accelerated replication in thick melanomas.

Authors:  Gergo Kiszner; Barnabas Wichmann; Istvan B Nemeth; Erika Varga; Nora Meggyeshazi; Ivett Teleki; Peter Balla; Mate E Maros; Karoly Penksza; Tibor Krenacs
Journal:  Virchows Arch       Date:  2014-03-30       Impact factor: 4.064

2.  Increased C-MYC copy numbers on the background of CDKN2A loss is associated with improved survival in nodular melanoma.

Authors:  Denitsa Koynova; Ekaterina Jordanova; Nicole Kukutsch; Pieter van der Velden; Draga Toncheva; Nelleke Gruis
Journal:  J Cancer Res Clin Oncol       Date:  2006-09-15       Impact factor: 4.553

3.  Immunohistochemical expression of p16, p21, p27 and cyclin D1 in oral nevi and melanoma.

Authors:  Bruno Augusto Benevenuto de Andrade; Jorge Esquiche León; Román Carlos; Wilson Delgado-Azañero; Adalberto Mosqueda-Taylor; Oslei Paes de Almeida
Journal:  Head Neck Pathol       Date:  2012-02-05

Review 4.  Tissue microarrays in clinical oncology.

Authors:  David Voduc; Challayne Kenney; Torsten O Nielsen
Journal:  Semin Radiat Oncol       Date:  2008-04       Impact factor: 5.934

Review 5.  The role of microRNAs and long non-coding RNAs in the pathology, diagnosis, and management of melanoma.

Authors:  Muhammad Nauman Aftab; Marcel E Dinger; Ranjan J Perera
Journal:  Arch Biochem Biophys       Date:  2014-07-24       Impact factor: 4.013

6.  Quantitative analysis of p53 expression in human normal and cancer tissue microarray with global normalization method.

Authors:  Halliday A Idikio
Journal:  Int J Clin Exp Pathol       Date:  2011-06-15

Review 7.  Tailoring to RB: tumour suppressor status and therapeutic response.

Authors:  Erik S Knudsen; Karen E Knudsen
Journal:  Nat Rev Cancer       Date:  2008-09       Impact factor: 60.716

Review 8.  Role of SKP1-CUL1-F-box-protein (SCF) E3 ubiquitin ligases in skin cancer.

Authors:  Chuan-Ming Xie; Wenyi Wei; Yi Sun
Journal:  J Genet Genomics       Date:  2013-02-10       Impact factor: 4.275

9.  Primary cutaneous melanoma: an 18-year study.

Authors:  Moris Anger; Henri Friedhofer; Marina Fussae Fukutaki; Marcus Castro Ferreira; Gilles Landman
Journal:  Clinics (Sao Paulo)       Date:  2010-03       Impact factor: 2.365

10.  Molecular markers of tumor progression in melanoma.

Authors:  Joshua Rother; Dan Jones
Journal:  Curr Genomics       Date:  2009-06       Impact factor: 2.236

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.