Popliteal lymphadenectomy on sentinel lymph node melanoma metastasis

2006 ◽  
Vol 8 (3) ◽  
pp. 218-220 ◽  
Author(s):  
Antonio Barrasa Shaw ◽  
Francisca Sancho Merle ◽  
Carlos Fuster Diana ◽  
Jorge Campos Máñez ◽  
Carlos Vázquez Albadalejo
2021 ◽  
Author(s):  
Tommaso Virgilio ◽  
Joy Bordini ◽  
Giulio Sartori ◽  
Irene Latino ◽  
Daniel Molina-Romero ◽  
...  

During melanoma metastasization, tumor cells originated in the skin migrate via lymphatic vessels to the sentinel lymph node (sLN) in a process that facilitates their spread across the body. Here, we characterized the innate inflammatory responses to melanoma metastasis in the sLN. For this purpose, we confirmed the migration of fluorescent metastatic melanoma cells to the sLN and we characterized the inflammatory response in the metastatic microenvironment. We found that macrophages located in the subcapsular sinus (SSM), produce pro-tumoral IL-1α after recognition of tumor antigens. Moreover, we confirmed that the administration of an anti-IL-1α depleting antibody reduced metastasis. Conversely, the administration of recombinant IL-1α accelerated the lymphatic spreading of the tumor. Additionally, the elimination of the macrophages significantly reduced the progression of the metastatic spread. To understand the mechanism of action of IL-1α in the context of the lymph node microenvironment, we applied single-cell RNA sequencing to dissected metastases obtained from animals treated with an anti-IL-1α blocking antibody. Amongst the different pathways affected, we identified STAT3 as one of the main targets of IL-1α signaling in metastatic cells. Moreover, we found that the anti-IL-1α anti-tumoral effect was not mediated by lymphocytes, as IL-1R1 KO mice did not show any improvement in metastasis growth. Finally, we found a synergistic anti-metastatic effect of the combination of IL-1α blocking and the STAT3 inhibitor (STAT3i) stattic. In summary, we described a new mechanism by which SSM support melanoma metastasis, highlighting a new target for immunotherapy.


Author(s):  
Minoru Kitago ◽  
Steve R. Martinez ◽  
Takuji Mori ◽  
Kazuo Koyanagi ◽  
Naoyuki Umetani ◽  
...  

2004 ◽  
Vol 137 (6) ◽  
pp. 1147-1149 ◽  
Author(s):  
Michael Baroody ◽  
John B Holds ◽  
Mimi S Kokoska ◽  
James Boyd

2020 ◽  
pp. 319-334 ◽  
Author(s):  
Domenico Bellomo ◽  
Suzette M. Arias-Mejias ◽  
Chandru Ramana ◽  
Joel B. Heim ◽  
Enrica Quattrocchi ◽  
...  

PURPOSE More than 80% of patients who undergo sentinel lymph node (SLN) biopsy have no nodal metastasis. Here, we describe a model that combines clinicopathologic and molecular variables to identify patients with thin- and intermediate-thickness melanomas who may forgo the SLN biopsy procedure because of their low risk of nodal metastasis. PATIENTS AND METHODS Genes with functional roles in melanoma metastasis were discovered by analysis of next-generation sequencing data and case-control studies. We then used polymerase chain reaction to quantify gene expression in diagnostic biopsy tissue across a prospectively designed archival cohort of 754 consecutive thin- and intermediate-thickness primary cutaneous melanomas. Outcome of interest was SLN biopsy metastasis within 90 days of melanoma diagnosis. A penalized maximum likelihood estimation algorithm was used to train logistic regression models in a repeated cross-validation scheme to predict the presence of SLN metastasis from molecular, clinical, and histologic variables. RESULTS Expression of genes with roles in epithelial-to-mesenchymal transition (glia-derived nexin, growth differentiation factor 15, integrin-β3, interleukin 8, lysyl oxidase homolog 4, transforming growth factor-β receptor type 1, and tissue-type plasminogen activator) and melanosome function (melanoma antigen recognized by T cells 1) were associated with SLN metastasis. The predictive ability of a model that only considered clinicopathologic or gene expression variables was outperformed by a model that included molecular variables in combination with the clinicopathologic predictors Breslow thickness and patient age (area under the receiver operating characteristic curve, 0.82; 95% CI, 0.78 to 0.86; SLN biopsy reduction rate, 42%; negative predictive value, 96%). CONCLUSION A combined model that included clinicopathologic and gene expression variables improved the identification of patients with melanoma who may forgo the SLN biopsy procedure because of their low risk of nodal metastasis.


2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Petr Buzrla ◽  
Jana Dvorackova ◽  
Oldrich Motyka

The aim of the study is to evaluate the density of intratumoral and peritumoral lymphatic vessels in primary cutaneous melanomas and to assess their correlation with the status of sentinel lymph nodes and the VEGF expression in tumor cells and stromal cells. A total of 40 patients were enrolled in the study: the melanomas were radically excised with the extirpation of the sentinel lymph node. The study subjects were divided into two groups: 20 cases with positive and 20 cases with negative sentinel lymph node results. The density of lymphatic vessels was evaluated by the antibody D2-40 and the VEGF expression was investigated in the semiquantitative way. The VEGF expression in melanoma cells and the stromal cells was negative to variable positive at both SLN negative and SLN positive patients in all pT stages. In the group of SLN positive patients, the density of intratumoral lymphatic vessels was low up to moderate, while it was observed to be absent, somewhere on the low level in the group of SLN negative patients. On the other side, the density of peritumoral lymphatic vessels was equally numerous at both SLN negative and SLN positive patients. The lymphatic invasion was found out at 4 SLN positive patients only. The ulceration was chiefly in the group of LN positive patients. The results show that the density of lymphangiogenesis and the intensity of the VEGF expression are considered to be an unreliable predictor of melanoma metastasis to the sentinel lymph node, but the ulceration and the lymphatic invasion can predict the potential for metastasis.


2016 ◽  
Vol 212 (2) ◽  
pp. 315-320 ◽  
Author(s):  
Justin Merkow ◽  
Alessandro Paniccia ◽  
Edward Jones ◽  
Teresa Jones ◽  
Maggie Hodges ◽  
...  

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