Highly sensitive multivariable assay detection of melanocytic differentiation antigens and angiogenesis biomarkers in sentinel lymph nodes with melanoma micrometastases.
OBJECTIVE
To evaluate the prognostic value of melanocytic differentiation antigens and angiogenesis biomarkers in sentinel lymph nodes (SLNs) with melanoma micrometastases.


METHODS
Prognostic study of an inception cohort.


METHODS
Academic research. Patients Between July 1, 1999, and July 31, 2002, all patients who had primary cutaneous or mucosal melanomas that have a Breslow depth of 1.5 mm or greater, ulceration, or Clark level IV or V, or had SLN biopsies.


METHODS
By the use of quantitative reverse transcription-polymerase chain reaction, the expression of the following was analyzed in SLNs: 2 melanocytic differentiation antigens (tyrosinase [P17646] and melanoma antigen recognized by T cells [MART-1; Q16655]) and genes involved in angiogenesis (VEGF [NM_001025366] and VEGFR2 [AF035121]), lymphangiogenesis (VEGFC [NM_005429], VEGFR3 [X68203], LYVE1 [NM_016164], and PROX1 [002763]), and invasion (uPA [NM_002658], PAI1 [NM_00602], and EMMPRIN [L10240]). Outcome measures were the association of these melanocytic differentiation antigens and angiogenesis biomarkers with clinicopathologic characteristics of patients, and an evaluation of the prognostic value for relapse-free survival and overall survival.


RESULTS
Ninety-one patients were included, with a median follow-up period of 41 months. Micrometastases were present in 15% (14 of 91) of patients. Tyrosinase (P < .001), MART-1 (P < .001), vascular endothelial growth factor 121 (VEGF(121)) (P = .007), and PAI1 (P = .02) expression was significantly associated with micrometastasis. In univariate analysis, histologic findings and tyrosinase and MART-1 expression were significantly associated with relapse-free survival. Tyrosinase and MART-1 expression was associated with overall survival. A multiple Cox proportional hazards regression model identified negative histologic findings and tyrosinase expression that exceeded 27 copies/copy of TATA box-binding protein (third quartile) as significantly associated with an increased risk of relapse or death.


CONCLUSIONS
Quantitative assessment of melanocytic differentiation antigens in SLNs, which has prognostic value, is more specific than qualitative assessment. Prognosis may be more effectively predicted by the combination of quantitative assessment of melanocytic differentiation antigens in SLNs with histologic assessment. A significant association was found between the presence of micrometastases and the expression of angiogenesis biomarkers.
Vitoux
Dominique
D
Unité Fonctionnelle Diagnostic Biologique Automatise, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 7151, Paris, France.
Mourah
Samia
S
Kerob
Delphine
D
Verola
Olivier
O
Basset-Seguin
Nicole
N
Baccard
Michel
M
Schartz
Noel
N
Ollivaud
Laurence
L
Archimbaud
Alain
A
Servant
Jean-Marie
JM
Revol
Marc
M
Toubert
Marie-Elisabeth
ME
Podgorniak
Marie-Pierre
MP
Plassa
François
F
Porcher
Raphael
R
Lebbé
Céleste
C
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D000943:Antigens, Differentiation; D000951:Antigens, Neoplasm / Q000378:metabolism; D014408:Biomarkers, Tumor / Q000032:analysis*; D001707:Biopsy, Needle; D015331:Cohort Studies; D018572:Disease-Free Survival; D005260:Female; D006801:Humans; D007150:Immunohistochemistry; D058965:MART-1 Antigen; D008297:Male; D008545:Melanoma / Q000401:mortality / Q000473:pathology* / Q000503:physiopathology; D008875:Middle Aged; D014442:Monophenol Monooxygenase / Q000378:metabolism; D009361:Neoplasm Invasiveness / Q000473:pathology*; D009363:Neoplasm Proteins / Q000378:metabolism; D009364:Neoplasm Recurrence, Local / Q000401:mortality / Q000473:pathology*; D009367:Neoplasm Staging; D009389:Neovascularization, Pathologic; D011379:Prognosis; D020133:Reverse Transcriptase Polymerase Chain Reaction; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D021701:Sentinel Lymph Node Biopsy; D012878:Skin Neoplasms / Q000401:mortality / Q000473:pathology* / Q000503:physiopathology; D016019:Survival Analysis; D055815:Young Adult
D000943:Antigens, Differentiation; D000951:Antigens, Neoplasm; D014408:Biomarkers, Tumor; D058965:MART-1 Antigen; C548667:MLANA protein, human; D009363:Neoplasm Proteins; D014442:Monophenol Monooxygenase