Literature DB >> 24258982

Construction and analysis of multiparameter prognostic models for melanoma outcome.

Bonnie E Gould Rothberg1, David L Rimm.   

Abstract

The outcome of Stage II melanoma is uncertain. Despite that 10-year melanoma-specific survival can approach 50 % following curative-intent wide local excision and negative sentinel lymph node biopsy, the adverse risk-benefit ratio of interferon-based adjuvant regimens precludes their use in most patients. The discovery and translation of protein-based prognostic biomarkers into the clinic offers the promise for residual risk stratification of Stage II melanoma patients beyond conventional clinicopathologic criteria to identify an additional subset of patients who, based upon tumor molecular profiles, might also derive benefit from adjuvant regimens. Despite incorporation of Ki-67 assays into clinical practice, systematic review of REMARK-compliant, immunostain-based prognostic biomarker assays in melanoma suggests that residual risk of recurrence might be best explained by a composite score derived from a small panel of proteins representing independent features of melanoma biology. Reflecting this trend, to date, five such multiparameter melanoma prognostic models have been published. Here, we review these five models and provide detailed protocols for discovering and validating multiparameter models including: appropriate cohort recruitment strategies, comprehensive laboratory protocols supporting fully quantitative chromogenic or fluorescent immunostaining platforms, statistical approaches to create composite prognostic indices recommended steps for model validation in independent cohorts.

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Year:  2014        PMID: 24258982      PMCID: PMC3912557          DOI: 10.1007/978-1-62703-727-3_13

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  93 in total

1.  Immunohistochemical expression of nm23 in primary invasive malignant melanoma is predictive of survival outcome.

Authors:  N C McDermott; C Milburn; B Curran; E W Kay; C Barry Walsh; M B Leader
Journal:  J Pathol       Date:  2000-02       Impact factor: 7.996

2.  Cancer-testis antigen expression in primary cutaneous melanoma has independent prognostic value comparable to that of Breslow thickness, ulceration and mitotic rate.

Authors:  Suzanne Svobodová; Judy Browning; Duncan MacGregor; Gabriele Pollara; Richard A Scolyer; Rajmohan Murali; John F Thompson; Siddhartha Deb; Arun Azad; Ian D Davis; Jonathan S Cebon
Journal:  Eur J Cancer       Date:  2010-11-04       Impact factor: 9.162

3.  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

4.  Ki-67 expression is superior to mitotic count and novel proliferation markers PHH3, MCM4 and mitosin as a prognostic factor in thick cutaneous melanoma.

Authors:  Rita G Ladstein; Ingeborg M Bachmann; Oddbjørn Straume; Lars A Akslen
Journal:  BMC Cancer       Date:  2010-04-14       Impact factor: 4.430

5.  Sensitivity of various visualization methods for peroxidase and alkaline phosphatase activity in immunoenzyme histochemistry.

Authors:  A S De Jong; M Van Kessel-van Vark; A K Raap
Journal:  Histochem J       Date:  1985-10

6.  Analytical validation of the Oncotype DX genomic diagnostic test for recurrence prognosis and therapeutic response prediction in node-negative, estrogen receptor-positive breast cancer.

Authors:  Maureen Cronin; Chithra Sangli; Mei-Lan Liu; Mylan Pho; Debjani Dutta; Anhthu Nguyen; Jennie Jeong; Jenny Wu; Kim Clark Langone; Drew Watson
Journal:  Clin Chem       Date:  2007-04-26       Impact factor: 8.327

7.  The prognostic impact of the anatomical sites in the 'head and neck melanoma': scalp versus face and neck.

Authors:  Vincenzo de Giorgi; Susanna Rossari; Alessia Gori; Marta Grazzini; Imma Savarese; Emanuele Crocetti; Elisa Cervadoro; Daniela Massi
Journal:  Melanoma Res       Date:  2012-10       Impact factor: 3.599

8.  Combinations of apoptosis and cell-cycle control biomarkers predict the outcome of human melanoma.

Authors:  Franca Piras; Maria Teresa Perra; Daniela Murtas; Luigi Minerba; Carlo Floris; Cristina Maxia; Paolo Demurtas; Jorge Ugalde; Domenico Ribatti; Paola Sirigu
Journal:  Oncol Rep       Date:  2008-08       Impact factor: 3.906

9.  Metallothionein - overexpression as a highly significant prognostic factor in melanoma: a prospective study on 1270 patients.

Authors:  G Weinlich; K Eisendle; E Hassler; M Baltaci; P O Fritsch; B Zelger
Journal:  Br J Cancer       Date:  2006-03-27       Impact factor: 7.640

10.  Quantitative assessment of tissue biomarkers and construction of a model to predict outcome in breast cancer using multiple imputation.

Authors:  John W Emerson; Marisa Dolled-Filhart; Lyndsay Harris; David L Rimm; David P Tuck
Journal:  Cancer Inform       Date:  2008-12-23
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  3 in total

Review 1.  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

2.  Breslow Density Is a Novel Prognostic Feature That Adds Value to Melanoma Staging.

Authors:  Gerald Saldanha; Jeremy Yarrow; Jay Pancholi; Katarina Flatman; Kah Wee Teo; Somaia Elsheik; Rebecca Harrison; Marie O'Riordan; Mark Bamford
Journal:  Am J Surg Pathol       Date:  2018-06       Impact factor: 6.394

3.  Twenty (forward looking) questions.

Authors:  Lewis A Hassell; Elizabeth A Wagar
Journal:  J Pathol Inform       Date:  2014-07-30
  3 in total

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