Development of a prognostic prediction model for patients with cutaneous malignant melanoma: a study based on the SEER database.

OBJECTIVE: To investigate the prognostic factors of cutaneous malignant melanoma (CMM) and establish an effective nomogram survival prediction model. MATERIALS AND METHODS: The clinical data of patients diagnosed with stage M0 CMM from 2000 to 2019 in the Surveillance, Epidemiology, and End Results (SEER) database were collected and retrospectively analyzed. The variables that may be related to prognosis were analyzed by Lasso-Cox regression analysis using R software. Independent prognostic factors were screened. A nomogram model for predicting the prognosis of CMMC was drawn, and its accuracy was verified by c-index, NR, IDI and calibration curve. RESULTS: A total of 2,679 patients with CMM were included. Lasso-Cox analysis showed that male sex, multiple tumors, higher T stage, SEER stage, widowed, divorced, and separated often indicated poor prognosis. The nomogram model calibration curve was in good agreement with the ideal curve, and the C-index was 0.734 in the training group and 0.761 in the validation group, respectively. In the training group, the AUC of 1-, 3-, 5- and 8-year survival were 0.80, 0.75, 0.74 and 0.72, respectively. In the validation group, the AUC of 1-, 3-, 5- and 8-year survival were 0.75, 0.79, 0.78 and 0.79, respectively. NRI and IDI were superior to the prediction ability of TNM stage and SEER stage (p < 0.05). The established prognostic score can divide patients into high and low score groups with significant prognostic difference (p < 0.05). CONCLUSIONS: Sex, SEER stage, T stage, total number of tumors and marital status are independent prognostic factors for CMM patients, and the nomogram model presented a better performance than TNM stage and SEER stage in predicting the prognosis of CMM patients.

Role of imaging biomarkers for prognostic prediction in patients with pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive tumours. PDAC has a poor prognosis; therefore, it is necessary to perform further risk stratification. Identifying prognostic factors before treatment might help to implement suitable and personalised treatment for individuals and avoid side effects. Conventional staging systems and tumour biomarkers are fundamental to establish prognosis; however, they have obvious limitations. Novel imaging biomarkers extracted from advanced imaging techniques offer opportunities to evaluate underlying tumour physiological characteristics, such as mutational status, cellular composition, local microenvironment, tumour metabolism, and biological behaviour. Thus, imaging biomarkers might help the decision making of oncologists and surgeons. The present review discusses the functions of imaging biomarkers for prognostic prediction in patients with PDAC and their potential value for further translation in clinical practice.

[Influence of antiretroviral prophylaxis on growth of HIV-exposed uninfected infants].

Objective: To evaluate the influence of antiretroviral prophylaxis on the growth and development of HIV-exposed uninfected infants in Guangzhou. Methods: Data were from the national information system for prevention of mother-to-child transmission of HIV infection, syphilis and hepatitis B. After excluding death and perinatal HIV infection cases, 564 HIV-exposed uninfected infants were included. The infants were divided into three groups, nevirapine (NVP) group, zidovudine (AZT) group and untreated group. The influences of antiretroviral prophylaxis on the body weight and height of the HIV-exposed uninfected infants were analyzed by using generalized estimating equations. Results: The HIV-exposed uninfected infants at 1-month old had lower Z scores of body weight-for-age and body height-for-age than the World Health Organization's reference standard. The prevalence of wasting in AZT group (17.5%) was higher than that in NVP group (6.2%) for 1-month old infants. Taking NVP or AZT was a protective factor for Z score of body length-for-age (P<0.05). Intrauterine exposure to triple antiviral drugs was a risk factor for the Z scores of body weight-for-age and body length-for-age (P<0.05). Conclusion: The physical growth and development of HIV-exposed uninfected infants at 1-month old was not well, and HIV-exposed uninfected infants who taking AZT had a higher incidence of wasting. Attention should be paid to these infants.

Fibroblastic rheumatism: the first case with infiltration of multinuclear giant cells and raised blood lead level.

Fibroblastic rheumatism (FR) is a rare condition characterized by symmetrical polyarthritis and multiple cutaneous nodules. Approximately 30 cases have been reported worldwide to date. Laboratory tests are not particular useful to confirm the disease. Diagnosis is mainly dependent on the characteristic histopathological features: thickened collagen fibres with spindle-shaped cell proliferation in the skin lesion. We report a case of a 48-year-old Chinese man with typical clinical features of FR. In addition to the characteristic histopathological findings, multinuclear giant cell infiltration in skin lesions was detected, in this case. The evaluation of microelements revealed a raised blood lead level) of 129 µg/L (normal range 0-99 µg/L) These two features have never been described in the previous medical literature on FR. Thus, we propose that examining the infiltrated cells in detail in histopathological studies and inspecting the levels of lead and other microelements in the blood may increase our understanding of the pathogenesis of FR.

Effects of properties of the surfactant on its aggregate behavior.

The effects of the solvent-surfactant interaction, chain length and stiffness of surfactants on the formation of aggregates and the aggregation degree of surfactants in the two-dimension solution have been investigated using discontinuous molecular-dynamics simulations. When the tail-water repulsion increases or the head-water attraction decreases, the aggregation degree increases. Increasing the chain length and raising the stiffness of surfactants lead to the increment of the aggregation degree.

Percolation with long-range correlations for epidemic spreading.

A percolation model with long-range correlations was introduced to investigate the phenomena of epidemic spreading by Monte Carlo simulations. The correlation exponent alpha and pathogenic ratio s correspond to different spreading methods and pathogenicity of variant epidemics. As the correlation changes from a weak one to a strong one, the patterns change from site percolation to Eden cluster when pathogenic ratio s=1, or Leath percolation cluster when s<1. Corresponding to change of patterns, the fractal dimension increases up to space dimension. The critical behavior in epidemic spreading has been examined based on the model. It is found that correlation has a great influence on the threshold of spreading percolation.

Influence of particle size on diffusion-limited aggregation.

The influence of particle size on diffusion-limited aggregation (DLA) has been investigated by computer simulations. For DLA clusters consisting of two kinds of particles with different sizes, when large particles are in the minority, the patterns of clusters appear asymmetrical and nonuniform, and their fractal dimensions D(f) increase compared with one-component DLA. With increasing size of large particles, D(f) increases. This increase can be attributed to two reasons: one is that large particles become new growth centers; the other is the big masses of large particles. As the concentration ratio x(n) of large particles increases, D(f) will reach a maximum value D(f(m)) and then decrease. When x(n) exceeds a certain value, the morphology and D(f) of the two-component DLA clusters are similar to those of one-component DLA clusters.