KBA.62: a useful marker for primary and metastatic melanomas

Pagès, Cécile; Rochaix, Philippe; Saati, Talal Al; Valmary‐Degano, Séverine; Boulinguez, S.; Launay, François; Paul, C.; Lauwers, F.; Payoux, Pierre; Guellec, Sophie Le; Brousset, Pierre; Lamant, Laurence

doi:10.1016/j.humpath.2007.12.006

Cited by 31 publications

(21 citation statements)

References 25 publications

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“…It may also be due to immunohistochemical staining with KBA62. Indeed, it has been reported that this monoclonal antibody has a higher sensitivity than other markers for the detection of metastatic melanoma cells in the lymph nodes [34]. One may also hypothesize that immunostaining with PS100 and KBA62 monoclonal antibodies detects melanoma tumor cells with a high sensitivity, but lacks specificity, thus requiring additional staining with a more specific antibody such as HMB-45 to decrease the risk of false-positive result.…”

Section: Discussionmentioning

confidence: 99%

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Breslow Thickness, Clark Index and Ulceration Are Associated with Sentinel Lymph Node Metastasis in Melanoma Patients: A Cohort Analysis of 612 Patients

Munsch

Lauwers‐Cancès

Lamant³

et al. 2014

Dermatology

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Background: Sentinel lymph node biopsy (SLNB) is the most sensitive procedure for assessing nodal status in patients with primary melanoma. Objective: To evaluate the predictive ability of usual primary melanoma prognosis factors of detecting sentinel lymph node (SLN) metastasis in patients with melanoma. Patients and Methods: A cohort of 612 consecutive patients presenting with primary skin melanoma who underwent a SLNB was evaluated. Assessment of the determinants of SLN metastasis was based on general linear model analysis. The model performance was studied using the concordance statistic and the net reclassification index. The calibration was estimated using the Hosmer-Lemeshow test. Results: The discrimination ability did not differ significantly between Breslow thickness (0.57), Clark index (0.61), ulceration (0.57) and histological subtype (0.55). Clark index, ulceration and Breslow thickness were all significant and independent determinants of SLN metastasis. The predictive ability of the final model was 0.657. Conclusion: Breslow thickness, Clark index and ulceration are independent predictors of a SLN metastasis.

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Section: Discussionmentioning

confidence: 99%

“…and P.R.). Histological examination of SLNBs was performed as previously described [34], based on serial hematoxylin and eosin sections and immunostaining with PS100 and KBA62 antibodies.…”

Section: Methodsmentioning

confidence: 99%

Breslow Thickness, Clark Index and Ulceration Are Associated with Sentinel Lymph Node Metastasis in Melanoma Patients: A Cohort Analysis of 612 Patients

Munsch

Lauwers‐Cancès

Lamant³

et al. 2014

Dermatology

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“…Desmoplastic melanoma is currently defined as a subtype of spindle cell melanoma; 1 however, the term spindle cell melanoma can either serve as an umbrella term for the spindle cell and desmoplastic melanoma category, might be applied as a descriptive diagnosis for a conventional melanoma with prominent spindle cells, or-as applied here-may refer to a specific entity that is typically amelanotic, contains o10% collagen fibrils, shows immunophenotypic differences to conventional melanoma, 18,[24][25][26] and typically presents as a thicker lesion or in advanced stages. Further, BRAF mutations occur with different prevalence in spindle cell melanoma.…”

Section: The Terminology Remains Confusingmentioning

confidence: 99%

A diagnostic algorithm to distinguish desmoplastic from spindle cell melanoma

et al. 2014

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Spindle cell melanoma and desmoplastic melanoma differ clinically in prognosis and therapeutic implications; however, because of partially overlapping histopathological features, diagnostic distinction of spindle cell from desmoplastic melanoma is not always straightforward. A direct comparison of diagnostic and therapeutic biomarkers has not been performed. Meta-review of the literature discloses key clinicopathological differences between spindle cell and desmoplastic melanoma, including immunophenotypes. Using 50 biomarkers available in routine diagnostics, we examined 38 archival cases (n ¼ 16 spindle, 18 desmoplastic, 4 mixed spindle/desmoplastic melanoma). S100 remains as the most reliable routine marker to reach the diagnosis of melanoma in spindle cell and desmoplastic melanoma. We identified nine distinctly labeling markers with spindle cell melanoma showing positivity for laminin, p75, HMB45, c-kit, and MelanA, and desmoplastic melanoma preferentially labeling with collagen IV, trichrome, CD68, and MDM2. On the basis of comparisons of test performance measures, MelanA and trichrome were used to devise a 94% sensitive diagnostic algorithm for the distinction of desmoplastic from spindle cell melanoma. Gene amplification and expression status was assessed for a set of potentially drugable targets (HER2, EGFR, MET, MDM2, TP53, ALK, MYC, FLI-1, and KIT). Fluorescent in situ hybridizations did not reveal a significant number of gene aberrations/rearrangements; however, protein overexpression for at least one of these markers was identified in 35 of 38 cases (92%). In addition, we found BRAF mutations in 31% of spindle cell and 5% of desmoplastic melanoma, with an overall mutation frequency of 16% (n ¼ 6/38). We present the first comprehensive screening study of diagnostic and therapeutic biomarkers in spindle cell and desmoplastic melanoma. The devised algorithm allows diagnostic distinction of desmoplastic from spindle cell melanoma when routine histology is not decisive.

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“…These analyses were done independently and blind. The IHC staining was done with KBA.62 mAbs [18] ready to use from DAKO revealed by FLEX/HRP (20 min incubation) then by FLEX DAB+ Sub-Chromo (10 min incubation) and FLEX Hematoxylin (5 min incubation). Photos were taken with a DMR microscope (Leica Microsystems) and a DS-Fi1 camera (Nikon Instruments).…”

Section: Pulmonary Metastases Implantation and Detectionmentioning

confidence: 99%

Atorvastatin-Induced Inhibition of Human Melanoma In Vivo Development

Teiti¹,

Sarrabayrouse²

2016

Immunother Open Acc

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Statins, 3-hydroxy 3-methylglutaryl CoA (HMG-CoA) reductase inhibitors, are pleiotropic pharmacological inhibitors, which block the mevalonate synthesis pathway. They are widely used as hypocholesterolemic agents and have shown protective effects against cancers.Our previous data showed that statin treatment induced MHC class I chain-related protein A (MICA) membrane overexpression in human melanoma cells, which increased their sensitivity to NK cell cytotoxicity and thus the inhibition of tumor development. MICA is a ligand of the NK cell activating receptor NKG2D. This receptor is essential for NK cell control of tumor development and it has the unique property of being able to recognize tumor cells of both murine and human origin.Here, using atorvastatin and the WM-266-4 melanoma cell line, we first confirmed that statin treatment enhances MICA membrane expression and decreases local tumor growth and pulmonary metastasis implantation in vivo. Furthermore our new experiments showed that atorvastatin intraperitoneal repeated injections induced a reduction of tumor growth following subcutaneous implantation of untreated WM 266-4 cells into NMRI nude mice and favored the innate anti-melanoma immune response by increasing splenic NK cell concentration and activation. This report confirms that statins could become effective pharmacological agents for melanoma immunotherapy.

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KBA.62: a useful marker for primary and metastatic melanomas

Cited by 31 publications

References 25 publications

Breslow Thickness, Clark Index and Ulceration Are Associated with Sentinel Lymph Node Metastasis in Melanoma Patients: A Cohort Analysis of 612 Patients

Breslow Thickness, Clark Index and Ulceration Are Associated with Sentinel Lymph Node Metastasis in Melanoma Patients: A Cohort Analysis of 612 Patients

A diagnostic algorithm to distinguish desmoplastic from spindle cell melanoma

Atorvastatin-Induced Inhibition of Human Melanoma In Vivo Development

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