Factors predictive of the status of sentinel lymph nodes in melanoma patients from a large multicenter database

Richard L R White, Gregory D. Ayers, Virginia H. Stell, Shouluan Ding, Jeffrey E. Gershenwald, Jonathan C. Salo, Barbara A. Pockaj, Richard Essner, Mark Faries, Kim James Charney, Eli Avisar, Axel Hauschild, Friederike Egberts, Bruce J. Averbook, Carlos A. Garberoglio, John Vetto, Merrick I. Ross, David Chu, Vijay Trisal, Harald HoekstraEric Whitman, Harold J. Wanebo, Daniel Debonis, Michael Vezeridis, Aaron Chevinsky, Mohammed Kashani-Sabet, Yu Shyr, Lynne Berry, Zhiguo Zhao, Seng Jaw Soong, Stanley P L Leong

    Research output: Contribution to journalArticle

    53 Citations (Scopus)

    Abstract

    Background: Numerous predictive factors for cutaneous melanoma metastases to sentinel lymph nodes have been identified; however, few have been found to be reproducibly significant. This study investigated the significance of factors for predicting regional nodal disease in cutaneous melanoma using a large multicenter database. Methods: Seventeen institutions submitted retrospective and prospective data on 3463 patients undergoing sentinel lymph node (SLN) biopsy for primary melanoma. Multiple demographic and tumor factors were analyzed for correlation with a positive SLN. Univariate and multivariate statistical analyses were performed. Results: Of 3445 analyzable patients, 561 (16.3%) had a positive SLN biopsy. In multivariate analysis of 1526 patients with complete records for 10 variables, increasing Breslow thickness, lymphovascular invasion, ulceration, younger age, the absence of regression, and tumor location on the trunk were statistically significant predictors of a positive SLN. Conclusions: These results confirm the predictive significance of the well-established variables of Breslow thickness, ulceration, age, and location, as well as consistently reported but less well-established variables such as lymphovascular invasion. In addition, the presence of regression was associated with a lower likelihood of a positive SLN. Consideration of multiple tumor parameters should influence the decision for SLN biopsy and the estimation of nodal metastatic disease risk.

    Original languageEnglish (US)
    Pages (from-to)3593-3600
    Number of pages8
    JournalAnnals of Surgical Oncology
    Volume18
    Issue number13
    DOIs
    StatePublished - Dec 2011

    Fingerprint

    Sentinel Lymph Node Biopsy
    Melanoma
    Databases
    Multivariate Analysis
    Neoplasms
    Skin
    Demography
    Neoplasm Metastasis
    Sentinel Lymph Node

    ASJC Scopus subject areas

    • Surgery
    • Oncology

    Cite this

    White, R. L. R., Ayers, G. D., Stell, V. H., Ding, S., Gershenwald, J. E., Salo, J. C., ... Leong, S. P. L. (2011). Factors predictive of the status of sentinel lymph nodes in melanoma patients from a large multicenter database. Annals of Surgical Oncology, 18(13), 3593-3600. https://doi.org/10.1245/s10434-011-1826-9

    Factors predictive of the status of sentinel lymph nodes in melanoma patients from a large multicenter database. / White, Richard L R; Ayers, Gregory D.; Stell, Virginia H.; Ding, Shouluan; Gershenwald, Jeffrey E.; Salo, Jonathan C.; Pockaj, Barbara A.; Essner, Richard; Faries, Mark; Charney, Kim James; Avisar, Eli; Hauschild, Axel; Egberts, Friederike; Averbook, Bruce J.; Garberoglio, Carlos A.; Vetto, John; Ross, Merrick I.; Chu, David; Trisal, Vijay; Hoekstra, Harald; Whitman, Eric; Wanebo, Harold J.; Debonis, Daniel; Vezeridis, Michael; Chevinsky, Aaron; Kashani-Sabet, Mohammed; Shyr, Yu; Berry, Lynne; Zhao, Zhiguo; Soong, Seng Jaw; Leong, Stanley P L.

    In: Annals of Surgical Oncology, Vol. 18, No. 13, 12.2011, p. 3593-3600.

    Research output: Contribution to journalArticle

    White, RLR, Ayers, GD, Stell, VH, Ding, S, Gershenwald, JE, Salo, JC, Pockaj, BA, Essner, R, Faries, M, Charney, KJ, Avisar, E, Hauschild, A, Egberts, F, Averbook, BJ, Garberoglio, CA, Vetto, J, Ross, MI, Chu, D, Trisal, V, Hoekstra, H, Whitman, E, Wanebo, HJ, Debonis, D, Vezeridis, M, Chevinsky, A, Kashani-Sabet, M, Shyr, Y, Berry, L, Zhao, Z, Soong, SJ & Leong, SPL 2011, 'Factors predictive of the status of sentinel lymph nodes in melanoma patients from a large multicenter database', Annals of Surgical Oncology, vol. 18, no. 13, pp. 3593-3600. https://doi.org/10.1245/s10434-011-1826-9
    White, Richard L R ; Ayers, Gregory D. ; Stell, Virginia H. ; Ding, Shouluan ; Gershenwald, Jeffrey E. ; Salo, Jonathan C. ; Pockaj, Barbara A. ; Essner, Richard ; Faries, Mark ; Charney, Kim James ; Avisar, Eli ; Hauschild, Axel ; Egberts, Friederike ; Averbook, Bruce J. ; Garberoglio, Carlos A. ; Vetto, John ; Ross, Merrick I. ; Chu, David ; Trisal, Vijay ; Hoekstra, Harald ; Whitman, Eric ; Wanebo, Harold J. ; Debonis, Daniel ; Vezeridis, Michael ; Chevinsky, Aaron ; Kashani-Sabet, Mohammed ; Shyr, Yu ; Berry, Lynne ; Zhao, Zhiguo ; Soong, Seng Jaw ; Leong, Stanley P L. / Factors predictive of the status of sentinel lymph nodes in melanoma patients from a large multicenter database. In: Annals of Surgical Oncology. 2011 ; Vol. 18, No. 13. pp. 3593-3600.
    @article{4c7cb6b232f84a8f966ff3ea979b9963,
    title = "Factors predictive of the status of sentinel lymph nodes in melanoma patients from a large multicenter database",
    abstract = "Background: Numerous predictive factors for cutaneous melanoma metastases to sentinel lymph nodes have been identified; however, few have been found to be reproducibly significant. This study investigated the significance of factors for predicting regional nodal disease in cutaneous melanoma using a large multicenter database. Methods: Seventeen institutions submitted retrospective and prospective data on 3463 patients undergoing sentinel lymph node (SLN) biopsy for primary melanoma. Multiple demographic and tumor factors were analyzed for correlation with a positive SLN. Univariate and multivariate statistical analyses were performed. Results: Of 3445 analyzable patients, 561 (16.3{\%}) had a positive SLN biopsy. In multivariate analysis of 1526 patients with complete records for 10 variables, increasing Breslow thickness, lymphovascular invasion, ulceration, younger age, the absence of regression, and tumor location on the trunk were statistically significant predictors of a positive SLN. Conclusions: These results confirm the predictive significance of the well-established variables of Breslow thickness, ulceration, age, and location, as well as consistently reported but less well-established variables such as lymphovascular invasion. In addition, the presence of regression was associated with a lower likelihood of a positive SLN. Consideration of multiple tumor parameters should influence the decision for SLN biopsy and the estimation of nodal metastatic disease risk.",
    author = "White, {Richard L R} and Ayers, {Gregory D.} and Stell, {Virginia H.} and Shouluan Ding and Gershenwald, {Jeffrey E.} and Salo, {Jonathan C.} and Pockaj, {Barbara A.} and Richard Essner and Mark Faries and Charney, {Kim James} and Eli Avisar and Axel Hauschild and Friederike Egberts and Averbook, {Bruce J.} and Garberoglio, {Carlos A.} and John Vetto and Ross, {Merrick I.} and David Chu and Vijay Trisal and Harald Hoekstra and Eric Whitman and Wanebo, {Harold J.} and Daniel Debonis and Michael Vezeridis and Aaron Chevinsky and Mohammed Kashani-Sabet and Yu Shyr and Lynne Berry and Zhiguo Zhao and Soong, {Seng Jaw} and Leong, {Stanley P L}",
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    T1 - Factors predictive of the status of sentinel lymph nodes in melanoma patients from a large multicenter database

    AU - White, Richard L R

    AU - Ayers, Gregory D.

    AU - Stell, Virginia H.

    AU - Ding, Shouluan

    AU - Gershenwald, Jeffrey E.

    AU - Salo, Jonathan C.

    AU - Pockaj, Barbara A.

    AU - Essner, Richard

    AU - Faries, Mark

    AU - Charney, Kim James

    AU - Avisar, Eli

    AU - Hauschild, Axel

    AU - Egberts, Friederike

    AU - Averbook, Bruce J.

    AU - Garberoglio, Carlos A.

    AU - Vetto, John

    AU - Ross, Merrick I.

    AU - Chu, David

    AU - Trisal, Vijay

    AU - Hoekstra, Harald

    AU - Whitman, Eric

    AU - Wanebo, Harold J.

    AU - Debonis, Daniel

    AU - Vezeridis, Michael

    AU - Chevinsky, Aaron

    AU - Kashani-Sabet, Mohammed

    AU - Shyr, Yu

    AU - Berry, Lynne

    AU - Zhao, Zhiguo

    AU - Soong, Seng Jaw

    AU - Leong, Stanley P L

    PY - 2011/12

    Y1 - 2011/12

    N2 - Background: Numerous predictive factors for cutaneous melanoma metastases to sentinel lymph nodes have been identified; however, few have been found to be reproducibly significant. This study investigated the significance of factors for predicting regional nodal disease in cutaneous melanoma using a large multicenter database. Methods: Seventeen institutions submitted retrospective and prospective data on 3463 patients undergoing sentinel lymph node (SLN) biopsy for primary melanoma. Multiple demographic and tumor factors were analyzed for correlation with a positive SLN. Univariate and multivariate statistical analyses were performed. Results: Of 3445 analyzable patients, 561 (16.3%) had a positive SLN biopsy. In multivariate analysis of 1526 patients with complete records for 10 variables, increasing Breslow thickness, lymphovascular invasion, ulceration, younger age, the absence of regression, and tumor location on the trunk were statistically significant predictors of a positive SLN. Conclusions: These results confirm the predictive significance of the well-established variables of Breslow thickness, ulceration, age, and location, as well as consistently reported but less well-established variables such as lymphovascular invasion. In addition, the presence of regression was associated with a lower likelihood of a positive SLN. Consideration of multiple tumor parameters should influence the decision for SLN biopsy and the estimation of nodal metastatic disease risk.

    AB - Background: Numerous predictive factors for cutaneous melanoma metastases to sentinel lymph nodes have been identified; however, few have been found to be reproducibly significant. This study investigated the significance of factors for predicting regional nodal disease in cutaneous melanoma using a large multicenter database. Methods: Seventeen institutions submitted retrospective and prospective data on 3463 patients undergoing sentinel lymph node (SLN) biopsy for primary melanoma. Multiple demographic and tumor factors were analyzed for correlation with a positive SLN. Univariate and multivariate statistical analyses were performed. Results: Of 3445 analyzable patients, 561 (16.3%) had a positive SLN biopsy. In multivariate analysis of 1526 patients with complete records for 10 variables, increasing Breslow thickness, lymphovascular invasion, ulceration, younger age, the absence of regression, and tumor location on the trunk were statistically significant predictors of a positive SLN. Conclusions: These results confirm the predictive significance of the well-established variables of Breslow thickness, ulceration, age, and location, as well as consistently reported but less well-established variables such as lymphovascular invasion. In addition, the presence of regression was associated with a lower likelihood of a positive SLN. Consideration of multiple tumor parameters should influence the decision for SLN biopsy and the estimation of nodal metastatic disease risk.

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