Literature DB >> 16258103

Biologic and prognostic significance of dermal Ki67 expression, mitoses, and tumorigenicity in thin invasive cutaneous melanoma.

Phyllis A Gimotty1, Patricia Van Belle, David E Elder, Todd Murry, Kathleen T Montone, Xiaowei Xu, Susan Hotz, Shane Raines, Michael E Ming, Peter Wahl, Dupont Guerry.   

Abstract

PURPOSE: Tumor cell proliferation is a central feature of melanoma progression. In this study, we characterized three biomarkers of proliferation (Ki67 expression, dermal mitotic rate [MR], and tumorigenicity) in thin (< or = 1.00 mm) primary cutaneous melanomas and examined their association with prognosis. PATIENTS AND METHODS: We used immunohistochemistry to determine Ki67 expression using the monoclonal antibody MIB-1 in lesions from a prospective cohort that included 396 patients with thin invasive primary melanomas seen between 1972 and 1991. A multivariate Cox proportional hazards model was used to define independent prognostic factors, and recursive partitioning was used to develop a prognostic tree identifying risk groups.
RESULTS: Dermal Ki67 expression was lower than epidermal Ki67 expression in radial growth phase (RGP) melanomas (n = 171), and dermal Ki67 expression and MR were higher in tumorigenic vertical growth phase (VGP) melanomas (n = 193) compared with RGP and nontumorigenic VGP melanomas (n = 42). Dermal Ki67 expression, MR greater than 0, growth phase, thickness, ulceration, tumor-infiltrating lymphocytes, and sex were associated with metastasis at 10 years, however, only dermal Ki67 expression, MR greater than 0, and sex were independent prognostic factors. Two high-risk groups were identified: men and women with dermal MR greater than 0 and dermal Ki67 expression > or = 20% in tumor cells and men with MR greater than 0 and Ki67 expression less than 20%, with 10-year metastasis rates of 39% and 20%, respectively.
CONCLUSION: Proliferation slows as melanoma cells enter the dermis and then increases with the onset of tumorigenic VGP. Ki67 expression and dermal MR provide independent prognostic information that can potentially be used in risk-based management of patients.

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Year:  2005        PMID: 16258103     DOI: 10.1200/JCO.2005.02.0735

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  38 in total

1.  Immunohistochemical quantification of the vitamin B12 transport protein (TCII), cell surface receptor (TCII-R) and Ki-67 in human tumor xenografts.

Authors:  Annette M Sysel; Victor E Valli; Ray B Nagle; Joseph A Bauer
Journal:  Anticancer Res       Date:  2013-10       Impact factor: 2.480

2.  Using global gene expression to discriminate thin melanomas with poor outcomes.

Authors:  Zachary Hothem; Andrew Bayci; Bryan J Thibodeau; Billie E Ketelsen; Laura E Fortier; Alison F Uzieblo; Diane Cosner; Kristin Totoraitis; Richard D Keidan; George D Wilson
Journal:  Mol Cell Oncol       Date:  2016-11-08

3.  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

4.  An observational study regarding the rate of growth in vertical and radial growth phase superficial spreading melanomas.

Authors:  Roberto Betti; Elena Agape; Raffaella Vergani; Laura Moneghini; Amilcare Cerri
Journal:  Oncol Lett       Date:  2016-07-05       Impact factor: 2.967

5.  A high proliferative index of recurrent melanoma is associated with worse survival.

Authors:  Ting J Tu; Michelle W Ma; Stefano Monni; Amy E Rose; Herman Yee; Farbod Darvishian; David Polsky; Russell S Berman; Richard L Shapiro; Anna C Pavlick; Madhu Mazumdar; Iman Osman
Journal:  Oncology       Date:  2011-06-24       Impact factor: 2.935

Review 6.  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

7.  Mitotic rate in melanoma: prognostic value of immunostaining and computer-assisted image analysis.

Authors:  Christopher S Hale; Meng Qian; Michelle W Ma; Patrick Scanlon; Russell S Berman; Richard L Shapiro; Anna C Pavlick; Yongzhao Shao; David Polsky; Iman Osman; Farbod Darvishian
Journal:  Am J Surg Pathol       Date:  2013-06       Impact factor: 6.394

8.  Presence of tumor-infiltrating lymphocytes and a dominant nodule within primary melanoma are prognostic factors for relapse-free survival of patients with thick (t4) primary melanoma: pathologic analysis of the e1690 and e1694 intergroup trials.

Authors:  Uma N M Rao; Sandra J Lee; Weixiu Luo; Martin C Mihm; John M Kirkwood
Journal:  Am J Clin Pathol       Date:  2010-04       Impact factor: 2.493

Review 9.  Tissue prognostic biomarkers in primary cutaneous melanoma.

Authors:  Mario Mandalà; Daniela Massi
Journal:  Virchows Arch       Date:  2014-02-01       Impact factor: 4.064

10.  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

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