Comparative Analysis of Neovascularization in Primary Cutaneous Melanoma and Spitz Nevus

Cockerell, Clay J.; Sonnier, George B.; Kelly, L.William; Patel, Sanjay

doi:10.1097/00000372-199402000-00003

Cited by 28 publications

(6 citation statements)

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“…Once validated, diagnostic products could be developed to enhance pathological characterization of suspected melanocytic lesions, especially using multivariate analyses with multiple biomarkers. Nine examples in Table 2 where the genes have been previously identified as biomarkers of either melanocytes or melanomas (via PubMed literature search) are noted (3–10). Of particular interest are a minimum of 16 ‘new’ potential robust biomarkers, each of which exhibited high likelihood ratios and simple ratios ≥2.0, and were concordant between these two bioinformatic methods.…”

Section: Resultsmentioning

confidence: 99%

DNA Microarrays and Likelihood Ratio Bioinformatic Methods: Discovery of Human Melanocyte Biomarkers

Dooley

Curto²,

Davis³

et al. 2003

Pigment Cell Research

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In this article, some of the advantages and limitations of DNA microarray technologies for gene expression profiling are summarized. As a model experiment, DermArray DNA microarrays were utilized to identify potential biomarkers of cultured normal human melanocytes in two different experimental comparisons. In the first case, melanocyte RNA was compared with vastly dissimilar non-melanocytic RNA samples of normal skin keratinocytes and fibroblasts. In the second case, melanocyte RNA was compared with a primary cutaneous melanoma line (MS7) and a metastatic melanoma cell line (SKMel-28). The alternative approaches provide dramatically different lists of 'normal melanocyte' biomarkers. The most robust biomarkers were identified using principal component analysis bioinformatic methods related to likelihood ratios. Only three of 25 robust biomarkers in the melanocyte-proximal study (i.e. melanocytes vs. melanoma cells) were coincidentally identified in the melanocyte-distal study (i.e. melanocytes vs. non-melanocytic cells). Selected up-regulated biomarkers of melanocytes (i.e. TRP-1, melan-A/MART-1, silver/Pmel17, and nidogen-2) were validated by qRT-PCR. Some of the melanocytic biomarkers identified here may be useful in molecular diagnostics, as potential molecular targets for drug discovery, and for understanding the biochemistry of melanocytic cells.

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Section: Resultsmentioning

confidence: 99%

DNA Microarrays and Likelihood Ratio Bioinformatic Methods: Discovery of Human Melanocyte Biomarkers

Dooley

Curto²,

Davis³

et al. 2003

Pigment Cell Research

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“…The vascular morphology of tumours is different within tumours of similar and different histological types (34). It has been suggested that particular vascular patterns might help distinguish benign from malignant lesions (149, 150). Furthermore, a closed back‐to‐back loop vascular pattern has been reported to be a poor prognostic marker in ocular melanomas (151) and in lung carcinomas distinct patterns of neovascularisation have the potential to identify patients who will respond differently to anti‐cancer treatments (14, 15, 152).…”

Section: Tumour Vascular Architecturementioning

confidence: 99%

Histological quantitation of tumour angiogenesis

Fox¹,

Harris

2004

APMIS

126

100

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Tumours establish their blood supply via a number of processes in addition to angiogenesis. These include vasculogenesis, vascular remodelling, intussusception and possibly vascular mimicry in certain tumours. The mainstay of the assessment of tumour vascularity has been counting the number of immunohistochemically identified microvessels in vascular hot spots. Nevertheless, several other techniques are available, including Chalkley counting, vascular grade and the use of image analysis systems. Angiogenic activity can furthermore be assessed in histological samples by measuring the molecules involved in the establishment of the tumour vasculature, including angiogenic growth factors and their receptors, cell adhesion molecules, proteases and markers of activated, proliferating, cytokine stimulated or angiogenic vessels, such as CD105. Measuring the maturity of vessels may give an indication of the proportion of the tumour vasculature that is functional. Other reagents that can identify hypoxia-activated pathways are also being developed. The histological assessment of tumour vascularity is mainly used in the research setting but may also have applications in the clinic if appropriate methodology and trained observers perform the studies. Gene arrays may be able to provide an angiogenesis profile. Continued study into the processes involved in generating a tumour blood supply is likely to identify new markers that may be more accurate measures.

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“…A PP appears to require the presence of increased tumor vascularity. Indeed, there have been many studies supporting increased vasculogenesis in melanoma, which seems to be associated with tumorigenesis and aggressiveness. Srivastava et al reported that metastatic melanoma has twice the amount of vascular area that nonmetastatic melanoma has.…”

Section: Discussionmentioning

confidence: 99%

Peritheliomatous pattern: A diagnostic clue for diagnosing metastatic melanoma in cytology

Baskota

Xing

Pantanowitz

2020

Cancer Cytopathology

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BACKGROUND:A peritheliomatous pattern (PP) in tumors is characterized by a sheath of viable tumor cells closely surrounding a central blood vessel. In the authors' cytology practice, such a PP has been recognized in several metastatic melanoma specimens. The aim of this study was to evaluate the frequency of a PP in cytology samples of melanoma in comparison with other tumors. METHODS: Eighty archival fine-needle aspiration (FNA) cases of metastatic melanoma were compared with 65 control cases (35 poorly differentiated/metastatic carcinomas, 15 lymphomas, and 15 recurrent/metastatic/high-grade sarcomas). Cytologic findings were correlated with corresponding histologic specimens, which were available for 44 cases (55%) in the melanoma group and for 23 cases (35.38%) in the control group. All slides were examined for a PP and were semiquantitatively graded for comparison. RESULTS: A PP was present in 51.3% of the cytologic preparations (n = 41) among the melanoma group cases, whereas in the control group, a PP was present in only 3.1% of the cases (n = 2).A PP was present in 65.9% of melanomas with available histologic sections (n = 29) and in 8.7% of tissue samples from the control group (n = 2). A PP was seen more often in cell blocks than direct smear preparations (51.3% vs 40.0%) from patients with melanoma. CONCLUSIONS: The presence of a characteristic PP can be helpful in diagnosing melanoma in FNA samples because it was present in almost half of the metastatic melanoma cases in this study and was rarely present in other tumor types. A PP is easier to recognize and more often presents in cell blocks than aspirate smears. Ancillary studies such as immunohistochemistry are helpful for excluding other entities that may exhibit a PP.

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Comparative Analysis of Neovascularization in Primary Cutaneous Melanoma and Spitz Nevus

Cited by 28 publications

References 0 publications

DNA Microarrays and Likelihood Ratio Bioinformatic Methods: Discovery of Human Melanocyte Biomarkers

DNA Microarrays and Likelihood Ratio Bioinformatic Methods: Discovery of Human Melanocyte Biomarkers

Histological quantitation of tumour angiogenesis

Peritheliomatous pattern: A diagnostic clue for diagnosing metastatic melanoma in cytology

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