Prognostic impact of mitotic index of proliferating cell populations in cervical cancer patients treated with carbon ion beam

Relative impact of meteorological factors and air pollutants on childhood allergic diseases in Shanghai, China

BACKGROUND

Non-optimal weather conditions and air pollution pose a significant threat to children's health. However, the relative impact of different environmental exposures on childhood allergic diseases remains unclear.

OBJECTIVES

This study aimed to quantify the relative impact of meteorological factors and air pollutants on childhood allergic diseases in Shanghai, China.

METHODS

Data on clinical visits due to childhood asthma, allergic rhinitis (AR) and atopic dermatitis (AD) from 2007 to 2017 in Shanghai were collected from Shanghai Children's Medical Center and Xinhua Hospital. The meteorological data (i.e. daily mean temperature, temperature difference, air pressure, air pressure difference, precipitation, relative humidity, sunshine and wind speed) for the same period were obtained from the Shanghai Meteorological Center. Air pollution data (PM₁₀, PM_2.5, NO₂, SO₂ and O₃) were provided by the Shanghai Environmental Protection Agency. Quasi-Poisson regression with distributed lag non-linear models and Poisson regression combined with generalized linear models were used to assess the relative impact of meteorological factors and air pollutants on childhood allergic diseases.

RESULTS

There were a total of 2,410,392 cases of childhood allergic diseases, including 975,771 asthma, 646,975 AR and 787,646 AD. Most of environmental factors were significantly associated with childhood allergic diseases. Daily mean temperature (standard β: -0.076 (95% confidence interval (CI): -0.086, -0.067)) and air pressure (standard β: 0.075 (95% CI: 0.068, 0.082)) seemed to play more important roles than other environmental factors in the occurrence of these allergic diseases. The numbers of these allergic diseases attributable to an interquartile range (IQR) change in meteorological factors also appeared to be greater than those attributable to an IQR change in air pollutants.

CONCLUSIONS

Both climatic variation and air pollution were associated with childhood allergic diseases, but the former appeared to play a more important role in the occurrence of these diseases. These findings may have significant implications for the development of tailored strategies to prevent these rapidly-increasing diseases worldwide.

Assessment of predictive molecular variables in feline oral squamous cell carcinoma treated with stereotactic radiation therapy

This study evaluated molecular characteristics that are potentially prognostic in cats with oral squamous cell carcinoma (SCC) that underwent stereotactic radiation therapy (SRT). Survival time (ST) and progression-free interval (PFI) were correlated with mitotic index, histopathological grades, Ki67 and epidermal growth factor receptor expressions, tumour microvascular density (MVD), and tumour oxygen tension (pO(2)). Median ST and PFI were 106 and 87 days, respectively (n = 20). Overall response rate was 38.5% with rapid improvement of clinical symptoms in many cases. Patients with higher MVD or more keratinized SCC had significantly shorter ST or PFI than patients with lower MVD or less keratinized SCC (P = 0.041 and 0.049, respectively). Females had significantly longer PFI and ST than males (P ≤ 0.016). Acute toxicities were minimal. However, treatment-related complications such as fractured mandible impacted quality of life. In conclusion, SRT alone should be considered as a palliative treatment. MVD and degree of keratinization may be useful prognostic markers.

Predicting outcomes in radiation oncology--multifactorial decision support systems

With the emergence of individualized medicine and the increasing amount and complexity of available medical data, a growing need exists for the development of clinical decision-support systems based on prediction models of treatment outcome. In radiation oncology, these models combine both predictive and prognostic data factors from clinical, imaging, molecular and other sources to achieve the highest accuracy to predict tumour response and follow-up event rates. In this Review, we provide an overview of the factors that are correlated with outcome-including survival, recurrence patterns and toxicity-in radiation oncology and discuss the methodology behind the development of prediction models, which is a multistage process. Even after initial development and clinical introduction, a truly useful predictive model will be continuously re-evaluated on different patient datasets from different regions to ensure its population-specific strength. In the future, validated decision-support systems will be fully integrated in the clinic, with data and knowledge being shared in a standardized, instant and global manner.

Current advancement in radiation therapy for uterine cervical cancer

Radiation therapy is one of the effective curative treatments for uterine cervical cancer. However poor clinical results for the advanced stages require further improvement of the treatment. Intensive studies on basic and clinical research have been made to improve local control, primarily important for long term survival in radiation therapy. Regarding current advancement in radiation therapy for uterine cervical cancer, the following three major subjects are pointed out; technological development to improve dose distribution by image guided radiation therapy technology, the concomitant anticancer chemotherapy with combination of radiation therapy, and radiation biological assessment of the radiation resistance of tumors. The biological factors overviewed in this article include hypoxia relating factors of HIF-1alpha, SOD, cell cycle parameters of pMI, proliferation factors of Ki67, EGFR, cerbB2, COX-2, cycle regulation proteins p53, p21, apoptosis regulation proteins Bcl2 and Bax and so on. Especially, the variety of these radiation biological factors is important for the selection of an effective treatment method for each patient to maximize the treatment benefit.