To identify the risk factors of conjunctival malignant melanoma that predict local tumor recurrence, orbital exenteration, distant metastasis, and tumorrelated mortality. Design: The clinical parameters of the patient, tumor, and treatment were analyzed in a nonrandomized fashion for their relation to 4 main outcome measures using Cox proportional hazards regression models. Participants: One hundred fifty consecutive patients. Main Outcome Measures: Local tumor recurrence, orbital exenteration, distant metastasis, and death from conjunctival melanoma. Results: The Kaplan-Meier estimates of local tumor recurrence was 26% at 5 years, 51% at 10 years, and 65% at 15 years. The mean number of recurrences per patient was 1 (median, 0 recurrences). There was no recurrence in 98 patients (65%), 1 recurrence in 28 patients (19%), 2 recurrences in 11 patients (7%), 3 recurrences in 5 patients (3%), and 4 or more recurrences in 8 patients (5%). Using multivariate analysis, the factors correlated with local tumor recurrence were melanoma location (not touching the limbus) (P =.01) and pathological tumor margins (lateral margin involved) (P=.02). Multivariate analysis for features correlated with ultimate exenteration included initial visual acuity (20/40 OU or worse) (PϽ.001), melanoma color red (P =.01), and melanoma location (not touching the limbus) (P=.02). Tumor metastasis was present in 16% of patients at 5 years, 26% of patients at 10 years, and 32% of patients at 15 years. Metastasis was first located in the regional lymph nodes in 17 cases, the brain in 4 cases, the liver in 3 cases, the lung in 2 cases, and was disseminated in 1 case. The risks for metastases using multivariate analysis included pathological tumor margins (lateral margin involved) (P = .002) and melanoma location (not touching limbus) (P =.04). Tumor-related death occurred in 7% patients at 5 years' follow-up and 13% at 8 years' follow-up. The risk factors for death using multivariate analysis included initial symptoms (lump) (P = .004) and pathologic findings (de novo melanoma without primary acquired melanosis) (P=.05). The technique of initial surgery was shown to be an important factor in preventing eventual tumor recurrence (P=.07), metastasis (P=.03), and death (P=.006) in the univariate analysis, but did not reach significance in the multivariate analysis. Conclusions: Conjunctival malignant melanoma is a potentially deadly tumor. In the present study, metastasis was detected in 26% of patients, and death occurred in 13% of patients at 10 years. Extralimbal melanoma and tumor involvement of the surgical margins were especially poor prognostic factors. Meticulous surgical planning using wide microsurgical excisional biopsy working with the "no touch" technique and supplemental alcohol corneal epitheliectomy and conjunctival cryotherapy is advised.
Extracellular pH (pHc) was determined by needle microelectrodes in 67 tumour nodules in 58 patients. The objective was to evaluate the relationship between pHe, tumour histology and tumour volume. The mean age of the patients was 62 years, mean depth of the lesions was 2.7 +/- 0.2 cm, and mean tumour volume was 187 +/- 60 cm3. Lesions were located in readily accessible areas such as on the limbs, neck or chest wall. Tumour histologies included: 48% adenocarcinoma; 34% squamous cell carcinoma; 8% soft tissue sarcoma; and 10% malignant melanoma. The mean tumour pHe for the entire group of tumours was 7.06 +/- 0.05 (range 5.66-7.78). Variation in pHe measurements between tumours was greater than the variation in measurements within tumour (F = 7.11, p < 0.01). In adenocarcinomas pHe was 6.93 +/- 0.08 (range 5.66-7.78), in soft tissue sarcomas 7.01 +/- 0.21 (6.25-7.45), in squamous cell carcinomas 7.16 +/- 0.08 (6.2-7.6), and in malignant melanomas 7.36 +/- 0.1 (6.98-7.77). Tumour pHe was significantly different between the four histological groups (p < 0.001). When adenocarcinoma and soft tissue sarcoma lesions were grouped together, pHe was 6.94 +/- 0.08 compared with 7.20 +/- 0.07 in squamous cell carcinomas and malignant melanomas lesions (p < 0.01). Tumour pHe increased as a function of the logarithm of tumour volume at 0.07 +/- 0.02 pH unit/ln cm3 (p = 0.006, r = 0.34). In conclusion, tumour histology and tumour volume were the most important factors determining the range of pHe's.(ABSTRACT TRUNCATED AT 250 WORDS)
Assessment of sleep in mice currently requires initial implantation of chronic electrodes for assessment of electroencephalogram (EEG) and electromyogram (EMG) followed by time to recover from surgery. Hence, it is not ideal for high-throughput screening. To address this deficiency, a method of assessment of sleep and wakefulness in mice has been developed based on assessment of activity/inactivity either by digital video analysis or by breaking infrared beams in the mouse cage. It is based on the algorithm that any episode of continuous inactivity of > or =40 s is predicted to be sleep. The method gives excellent agreement in C57BL/6J male mice with simultaneous assessment of sleep by EEG/EMG recording. The average agreement over 8,640 10-s epochs in 24 h is 92% (n = 7 mice) with agreement in individual mice being 88-94%. Average EEG/EMG determined sleep per 2-h interval across the day was 59.4 min. The estimated mean difference (bias) per 2-h interval between inactivity-defined sleep and EEG/EMG-defined sleep was only 1.0 min (95% confidence interval for mean bias -0.06 to +2.6 min). The standard deviation of differences (precision) was 7.5 min per 2-h interval with 95% limits of agreement ranging from -13.7 to +15.7 min. Although bias significantly varied by time of day (P = 0.0007), the magnitude of time-of-day differences was not large (average bias during lights on and lights off was +5.0 and -3.0 min per 2-h interval, respectively). This method has applications in chemical mutagenesis and for studies of molecular changes in brain with sleep/wakefulness.
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