Second malignant neoplasms after a first cancer in childhood: temporal pattern of risk according to type of treatment

The variation in the risk of solid second malignant neoplasms (SMN) with time since first cancer during childhood has been previously reported. However, no study has been performed that controls for the distribution of radiation dose and the aggressiveness of past chemotherapy, which could be responsible for the observed temporal variation of the risk. The purpose of this study was to investigate the influence of the treatment on the long-term pattern of the incidence of solid SMN after a first cancer in childhood. We studied a cohort of 4400 patients from eight centres in France and the UK. Patients had to be alive 3 years or more after a first cancer treated before the age of 17 years and before the end of 1985. For each patient in the cohort, the complete clinical, chemotherapy and radiotherapy history was recorded. For each patient who had received external radiotherapy, the dose of radiation received by 151 sites of the body were estimated. After a mean follow-up of 15 years, 113 children developed a solid SMN, compared to 12.3 expected from general population rates. A similar distribution pattern was observed among the 1045 patients treated with radiotherapy alone and the 2064 patients treated with radiotherapy plus chemotherapy; the relative risk, but not the excess absolute risk, of solid SMN decreased with time after first treatment; the excess absolute risk increased during a period of at least 30 years after the first cancer. This pattern remained after controlling for chemotherapy and for the average dose of radiation to the major sites of SMN. It also remained when excluding patients with a first cancer type or an associated syndrome known to predispose to SMN. When compared with radiotherapy alone, the addition of chemotherapy increases the risk of solid SMN after a first cancer in childhood, but does not significantly modify the variation of this risk during the time after the first cancer. © 1999 Cancer Research Campaig

A Study of The Convolutional Neural Networks Applications

At present, deep learning is widely used in a broad range of arenas. A convolutional neural networks (CNN) is becoming the star of deep learning as it gives the best and most precise results when cracking real-world problems. In this work, a brief description of the applications of CNNs in two areas will be presented: First, in computer vision, generally, that is, scene labeling, face recognition, action recognition, and image classification; Second, in natural language processing, that is, the fields of speech recognition and text classification. &nbsp

Treatment-adjusted predisposition to second malignant neoplasms after a solid cancer in childhood: a case-control study

PURPOSE: Previous therapy, genetic susceptibility, and the type of first malignant neoplasm (FMN) are known to be associated with the risk of second malignant neoplasm (SMN) among patients treated for a childhood cancer. The aim of this study was to investigate the independent role of the FMN in the onset of any SMN. PATIENTS AND METHODS: A case-control study nested in a European cohort of 4,581 patients treated for a solid cancer during childhood was conducted. One hundred forty-six patients with an SMN and 417 controls were matched for sex, age at FMN, chemotherapy, radiotherapy, the local radiation dose received at the site of SMN for patient cases and at the same site for the matched controls, and follow-up. RESULTS: A significantly increased risk of developing any SMN was observed after Hodgkin's lymphoma, retinoblastoma, malignant bone tumor, soft tissue sarcoma (STS), and germ cell tumor as FMN, after adjustment for chemotherapy and family cancer syndrome. No significant risk of developing a carcinoma was observed among patients who had developed Hodgkin's lymphoma as FMN. A significantly increased risk of developing a sarcoma was observed among patients who had developed a retinoblastoma (adjusted odds ratio [ORa] = 7.5; 95% CI, 1.2 to 46), a malignant bone tumor (ORa = 13.3; 95% CI, 1.5 to 117), an STS (ORa = 4.8; 95% CI, 1.3 to 18), or a carcinoma (ORa = 9.4; 95% CI, 1.1 to 82) as FMN. CONCLUSION: Survivors of Hodgkin's lymphoma, retinoblastoma, malignant bone tumor, STS, and germ cell tumor should receive close surveillance because they are at increased risk of developing any SMN

An improved BAT algorithm for solving job scheduling problems in hotels and restaurants

One popular example of metaheuristic algorithms from the swarm intelligence family is the Bat algorithm (BA). The algorithm was first presented in 2010 by Yang and quickly demonstrated its efficiency in comparison with other common algorithms. The BA is based on echolocation in bats. The BA uses automatic zooming to strike a balance between exploration and exploitation by imitating the deviations of the bat’s pulse emission rate and loudness as it searches for prey. The BA maintains solution diversity using the frequency-tuning technique. In this way, the BA can quickly and efficiently switch from exploration to exploitation. Therefore, it becomes an efficient optimizer for any application when a quick solution is needed. In this paper, an improvement on the original BA has been made to speed up convergence and make the method more practical for large applications. To conduct a comprehensive comparative analysis between the original BA, the modified BA proposed in this paper, and other state-of-the-art bio-inspired metaheuristics, the performance of both approaches is evaluated on a standard set of 23 (unimodal, multimodal, and fixed-dimension multimodal) benchmark functions. Afterwards, the modified BA was applied to solve a real-world job scheduling problem in hotels and restaurants. Based on the achieved performance metrics, the proposed MBA establishes better global search ability and convergence than the original BA and other approaches

Radiation dose as a risk factor for malignant melanoma following childhood cancer

The aim of this study was to determine therapy-related risk factors for the development of melanoma after childhood cancer. Among 4401 3-year survivors of a childhood cancer in eight French and British centres and 25120 patients younger than 20 years old at first malignant neoplasm (FMN) extracted from the Nordic Cancer Registries, 16 patients developed a melanoma as a second malignant neoplasm (SMN). A cohort study of the French and British cohorts was performed. In a nested case-control study, the 16 patients who developed a melanoma as a SMN (cases) were matched with 3-5 controls in their respective cohort according to gender, age at the first cancer, the calendar year of occurrence of the first cancer and follow-up. Radiotherapy appeared to increase the risk of melanoma for local doses >15 Gy, Odds Ratio (OR)=13 (95% Confidence Interval (CI): 0.94-174). Regarding chemotherapy, we observed an increased OR for both alkylating agents and spindle inhibitors, OR=2.7 (95% CI: 0.5-14). Children treated for a gonadal tumour as a FMN were found to be at a higher risk of melanoma, OR=8.7 (95% CI: 0.9-86). The adjusted OR for the local radiation dose was 1.07 (95% CI: 1.00-1.15). In conclusion, radiotherapy may contribute to an increased risk of melanoma as a SMN, but only at very high doses of low linear energy transfer radiation. Common genetic origins between gonadal tumours and malignant melanomas are likely