Literature DB >> 28508145

Sentinel Lymph Node Biopsy for Recurrent Melanoma: A Multicenter Study.

Georgia M Beasley1, Yinin Hu2, Linda Youngwirth3, Randall P Scheri3, April K Salama4, Kara Rossfeld5, Syed Gardezi2, Doreen M Agnese5, J Harrison Howard5, Douglas S Tyler6, Craig L Slingluff2, Alicia M Terando5.   

Abstract

BACKGROUND: Sentinel lymph node biopsy (SLNB) is routinely performed for primary cutaneous melanomas; however, limited data exist for SLNB after locally recurrent (LR) or in-transit (IT) melanoma.
METHODS: Data from three centers performing SLNB for LR/IT melanoma (1997 to the present) were reviewed, with the aim of assessing (1) success rate; (2) SLNB positivity; and (3) prognostic value of SLNB in this population.
RESULTS: The study cohort included 107 patients. Management of the primary melanoma included prior SLNB for 56 patients (52%), of whom 10 (18%) were positive and 12 had complete lymph node dissections (CLNDs). In the present study, SLNB was performed for IT disease (48/107, 45%) or LR melanoma (59/107, 55%). A sentinel lymph node (SLN) was removed in 96% (103/107) of cases. Nodes were not removed for four patients due to lymphoscintigraphy failures (2) or nodes not found during surgery (2). SLNB was positive in 41 patients (40%, 95% confidence interval (CI) 31.5-50.5), of whom 35 (88%) had CLND, with 13 (37%) having positive nonsentinel nodes. Median time to disease progression after LR/IT metastasis was 1.4 years (95% CI 0.75-2.0) for patients with a positive SLNB, and 5.9 years (95% CI 1.7-10.2) in SLNB-negative patients (p = 0.18). There was a trend towards improved overall survival for patients with a negative SLNB (p = 0.06).
CONCLUSION: SLNB can be successful in patients with LR/IT melanoma, even if prior SLNB was performed. In this population, the rates of SLNB positivity and nonsentinel node metastases were 40% and 37%, respectively. SLNB may guide management and prognosis after LR/IT disease.

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Year:  2017        PMID: 28508145     DOI: 10.1245/s10434-017-5883-6

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


  5 in total

1.  Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death.

Authors:  Prathamesh M Kulkarni; Eric J Robinson; Jing Wang; Yvonne M Saenger; Jaya Sarin Pradhan; Robyn D Gartrell-Corrado; Bethany R Rohr; Megan H Trager; Larisa J Geskin; Harriet M Kluger; Pok Fai Wong; Balazs Acs; Emanuelle M Rizk; Chen Yang; Manas Mondal; Michael R Moore; Iman Osman; Robert Phelps; Basil A Horst; Zhe S Chen; Tammie Ferringer; David L Rimm
Journal:  Clin Cancer Res       Date:  2019-10-21       Impact factor: 12.531

2.  Validation of Melanoma Immune Profile (MIP), a Prognostic Immune Gene Prediction Score for Stage II-III Melanoma.

Authors:  Robyn D Gartrell; Douglas K Marks; Emanuelle M Rizk; Margaret Bogardus; Camille L Gérard; Luke W Barker; Yichun Fu; Camden L Esancy; Gen Li; Jiayi Ji; Shumin Rui; Marc S Ernstoff; Bret Taback; Sarabjot Pabla; Rui Chang; Sandra J Lee; John J Krolewski; Carl Morrison; Basil A Horst; Yvonne M Saenger
Journal:  Clin Cancer Res       Date:  2019-01-15       Impact factor: 12.531

Review 3.  Contemporary Approaches to In-Transit Melanoma.

Authors:  Jennifer A Perone; Nellie Farrow; Douglas S Tyler; Georgia M Beasley
Journal:  J Oncol Pract       Date:  2018-05       Impact factor: 3.840

Review 4.  In-transit metastatic cutaneous melanoma: current management and future directions.

Authors:  Ayushi Patel; Michael J Carr; James Sun; Jonathan S Zager
Journal:  Clin Exp Metastasis       Date:  2021-05-17       Impact factor: 5.150

5.  99mTc-labeled nanocolloid drugs: development methods.

Authors:  Vladimir Sadkin; Viktor Sкuridin; Evgeny Nesterov; Elena Stasyuk; Alexander Rogov; Natalya Varlamova; Roman Zelchan
Journal:  Sci Rep       Date:  2020-08-19       Impact factor: 4.379

  5 in total

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