Literature DB >> 14993019

Mitotic rate and younger age are predictors of sentinel lymph node positivity: lessons learned from the generation of a probabilistic model.

Vernon K Sondak1, Jeremy M G Taylor, Michael S Sabel, Yue Wang, Lori Lowe, Amelia C Grover, Alfred E Chang, Alan M Yahanda, James Moon, Timothy M Johnson.   

Abstract

BACKGROUND: Sentinel lymph node (SLN) biopsy allows surgeons to identify patients with subclinical nodal involvement who may benefit from lymphadenectomy and, possibly, adjuvant therapy. Several factors have been variably, and sometimes discordantly, reported to have predictive value for SLN metastasis to best select which patients require SLN biopsy.
METHODS: We reviewed 419 patients who underwent SLN biopsy for melanoma from a prospectively collected melanoma database. To derive a probabilistic model for the occurrence of a positive SLN, a multivariate logistic model was fit by using a stepwise variable selection method. The accuracy of each model was evaluated by using receiver operator characteristic curves.
RESULTS: On univariate analysis, the number of mitoses per square millimeter, increasing Breslow depth, decreasing age, ulceration, and melanoma on the trunk showed a significant relationship to a positive SLN. Multivariate analysis revealed that once age, mitotic rate, and Breslow thickness were included, no other factor, including ulceration, was significantly associated with a positive SLN. The data suggest that younger patients with tumors <1 mm may still have a substantial risk for a positive SLN, especially if the mitotic rate is high.
CONCLUSIONS: In addition to Breslow depth, mitoses per square millimeter and younger age were factors identified as independent predictors of a positive SLN. This model may identify patients with thin melanoma at sufficient risk for metastases to justify SLN biopsy.

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Year:  2004        PMID: 14993019     DOI: 10.1245/aso.2004.03.044

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  52 in total

1.  Prognostic significance of mitotic rate in localized primary cutaneous melanoma: an analysis of patients in the multi-institutional American Joint Committee on Cancer melanoma staging database.

Authors:  John F Thompson; Seng-Jaw Soong; Charles M Balch; Jeffrey E Gershenwald; Shouluan Ding; Daniel G Coit; Keith T Flaherty; Phyllis A Gimotty; Timothy Johnson; Marcella M Johnson; Stanley P Leong; Merrick I Ross; David R Byrd; Natale Cascinelli; Alistair J Cochran; Alexander M Eggermont; Kelly M McMasters; Martin C Mihm; Donald L Morton; Vernon K Sondak
Journal:  J Clin Oncol       Date:  2011-04-25       Impact factor: 44.544

Review 2.  A brief history of melanoma: from mummies to mutations.

Authors:  Vito W Rebecca; Vernon K Sondak; Keiran S M Smalley
Journal:  Melanoma Res       Date:  2012-04       Impact factor: 3.599

Review 3.  Sentinel lymph node biopsy for melanoma: American Society of Clinical Oncology and Society of Surgical Oncology joint clinical practice guideline.

Authors:  Sandra L Wong; Charles M Balch; Patricia Hurley; Sanjiv S Agarwala; Timothy J Akhurst; Alistair Cochran; Janice N Cormier; Mark Gorman; Theodore Y Kim; Kelly M McMasters; R Dirk Noyes; Lynn M Schuchter; Matias E Valsecchi; Donald L Weaver; Gary H Lyman
Journal:  J Clin Oncol       Date:  2012-07-09       Impact factor: 44.544

Review 4.  Chinese Guidelines on the Diagnosis and Treatment of Melanoma (2015 Edition).

Authors:  Jun Guo; Shukui Qin; Jun Liang; Tongyu Lin; Lu Si; Xiaohong Chen; Zhihong Chi; Chuanliang Cui; Nan Du; Yun Fan; Kangsheng Gu; Fang Li; Junling Li; Yongheng Li; Houjie Liang; Jiwei Liu; Man Lu; Aiping Lu; Kejun Nan; Xiaohui Niu; Hongming Pan; Guoxin Ren; Xiubao Ren; Yongqian Shu; Xin Song; Min Tao; Baocheng Wang; Wenbin Wei; Di Wu; Lingying Wu; Aiwen Wu; Xiaolin Xu; Junyi Zhang; Xiaoshi Zhang; Yiping Zhang; Huiyan Zhu
Journal:  Ann Transl Med       Date:  2015-12

5.  Sentinel Lymph Node Biopsy Is Prognostic in Thickest Melanoma Cases and Should Be Performed for Thick Melanomas.

Authors:  Dale Han; Gang Han; Monica T Duque; Steven Morrison; Stanley P Leong; Mohammed Kashani-Sabet; John Vetto; Richard White; Schlomo Schneebaum; Barbara Pockaj; Nicola Mozzillo; Vernon K Sondak; Jonathan S Zager
Journal:  Ann Surg Oncol       Date:  2020-06-10       Impact factor: 5.344

6.  Spline-based models for predictiveness curves and surfaces.

Authors:  Debashis Ghosh; Michael Sabel
Journal:  Stat Interface       Date:  2010-01-01       Impact factor: 0.582

7.  Unfolding the mutational landscape of human melanoma.

Authors:  Diwakar Davar; Yan Lin; John M Kirkwood
Journal:  J Invest Dermatol       Date:  2015-03       Impact factor: 8.551

8.  Sentinel-node biopsy or nodal observation in melanoma.

Authors:  Kim Margolin
Journal:  Curr Oncol Rep       Date:  2007-09       Impact factor: 5.075

9.  Association Between Patient Age and Lymph Node Positivity in Thin Melanoma.

Authors:  Andrew J Sinnamon; Madalyn G Neuwirth; Pratyusha Yalamanchi; Phyllis Gimotty; David E Elder; Xiaowei Xu; Rachel R Kelz; Robert E Roses; Emily Y Chu; Michael E Ming; Douglas L Fraker; Giorgos C Karakousis
Journal:  JAMA Dermatol       Date:  2017-09-01       Impact factor: 10.282

10.  Changes in the presentation of nodular and superficial spreading melanomas over 35 years.

Authors:  Melanie A Warycha; Paul J Christos; Madhu Mazumdar; Farbod Darvishian; Richard L Shapiro; Russell S Berman; Anna C Pavlick; Alfred W Kopf; David Polsky; Iman Osman
Journal:  Cancer       Date:  2008-12-15       Impact factor: 6.860

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