logo
    Abstract KCl extracts of Melanoma 14, a human melanoma cell line grown in chemically defined serum‐free medium, inhibited leukocyte migration in 19/36 (53%) patients with malignant melanoma. Only 4/23 (17%) controls with non‐melanoma malignancies and 4/28 (14%) normal subjects with no history of cancer were similarly inhibited. Only 2/27 melanoma patients tested against KCl extracts of normal muscle tissue excised from the donor of Melanoma 14 were significantly inhibited. Patients with Stage I (localized) melanoma and patients with Stage III (generalized) melanoma reacted with roughly equal frequency but the number of patients in each group was too small for meaningful statistical analysis. Leukocytes from the donor of Melanoma 14 were tested in a completely autologous system against extracts of Melanoma 14 tissue culture cells and extracts of autologous muscle and were specifically inhibited by the Melanoma 14 tissue culture extract (Migration Index = 0.67) but not by the extract of normal muscle (Migration Index = 0.96). Only 7/32 (22%) melanoma patients were significantly inhibited by an extract of non‐melanoma tumor. These results suggest that melanoma‐associated antigens are present in soluble extracts of this tumor line. Such extracts could provide a continuing source of standard melanoma‐associated antigens for purification and chemical characterization and for diagnostic and prognostic tests in patients with malignant melanoma.
    Citations (16)
    Application profiling is an important step in the design and optimization of embedded systems. Accurately identifying and analyzing the execution of frequently executed computational kernels is needed to effectively optimize the system implementation, at both design time and runtime. Most previous profiling approaches are software based, which can incur significant overhead and may be prohibitive or impractical for profiling embedded systems at runtime. In addition, profiling methods typically focus on profiling the execution of specific tasks executing on a single core, but do not consider accurate and holistic profiling across multiple processor cores. Directly utilizing and naively combining isolated profiles from multiple processor cores can lead to significant profile inaccuracy. In this paper, we present a hardware-based dynamic application profiler for non-intrusively and accurately profiling software applications in multicore embedded systems. The profiler provides a detailed execution profile for computational kernels and maintains profile accuracy across multiple processor cores. The hardware-based profiler achieves an average error of less than 0.5% for the percentage execution time of profiled applications.
    Profiling (computer programming)
    Multi-core processor
    Embedded software
    This chapter contains sections titled: Seven features of melanoma Melanoma in situ Thin invasive melanoma Intermediate-thickness melanoma Thick invasive melanoma Hyperpigmented melanoma: brown Hyperpigmented melanoma: black Multicoloured melanoma Hypopigmented melanoma Superficial spreading malignant melanoma Nodular melanoma: pigmented Nodular melanoma: hypopigmented Featureless melanoma Small melanoma Eccentric pigmented melanoma Cutaneous melanoma metastases Negative network Regression in melanoma Melanoma cases Algorithms Algorithms – limitations
    Nodular melanoma
    Superficial spreading melanoma
    Citations (0)