System. Trends in incidence and death rates for all cancers combined and for the leading cancer types by sex, racial/ethnic group, and age were estimated by joinpoint analysis and characterized by the average annual percent change during the most recent 5 years (2012-2016 for incidence and 2013-2017 for mortality). RESULTS: Overall, cancer incidence rates decreased 0.6% on average per year during 2012 through 2016, but trends differed by sex, racial/ ethnic group, and cancer type. Among males, cancer incidence rates were stable overall and among non-Hispanic white males but decreased in other racial/ethnic groups; rates increased for 5 of the 17 most common cancers, were stable for 7 cancers (including prostate), and decreased for 5 cancers (including lung and bronchus [lung] and colorectal). Among females, cancer incidence rates increased during 2012 to 2016 in all racial/ethnic groups, increasing on average 0.2% per year; rates increased for 8 of the 18 most common cancers (including breast), were stable for 6 cancers (including colorectal), and decreased for 4 cancers (including lung). Overall, cancer death rates decreased 1.5% on average per year during 2013 to 2017, decreasing 1.8% per year among males and 1.4% per year among females. During 2013 to 2017, cancer death rates decreased for all cancers combined among both males and females in each racial/ethnic group, for 11 of the 19 most common cancers among males (including lung and colorectal), and for 14 of the 20 most common cancers among females (including lung, colorectal, and breast). The largest declines in death rates were observed for melanoma of the skin (decreasing 6.1% per year among males and 6.3% among females) and lung (decreasing 4.8% per year among males and 3.7% among females). Among children younger than 15 years, cancer incidence rates increased an average of 0.8% per year during 2012 to 2016, and cancer death rates decreased an average of 1.4% per year during 2013 to 2017. Among adolescents and young adults aged 15 to 39 years, cancer incidence rates increased an average of 0.9% per year during 2012 to 2016, and cancer death rates decreased an average of 1.0% per year during 2013 to 2017. CONCLUSIONS: Although overall cancer death rates continue to decline, incidence rates are leveling off among males and are increasing slightly among females. These trends reflect population changes in cancer risk factors, screening test use, diagnostic practices, and treatment advances. Many cancers can be prevented or treated effectively if they are found early. Population-based cancer incidence and mortality data can be used to inform efforts to decrease the cancer burden in the United States and regularly monitor progress toward goals. Cancer 2020;126:2225-2249.

No abstract

No abstract

Background-The decline in asbestos use in the United States may impact mesothelioma incidence.

Breast cancer among young women is a highly heterogeneous disease. Differences in tumor characteristics by age and race/ethnicity suggest opportunities for further research into personal and cultural factors that may influence breast cancer risk among younger women.

selected objectives-including death rates, cancer screening, and major risk factors-related to 4 common cancers (lung, colorectal, female breast, and prostate). Baseline values, recent values, and the percentage change from baseline to recent values were examined overall and by select sociodemographic characteristics. Data from national surveillance systems were obtained from the Healthy People 2020 website. RESULTS: Targets for death rates were met overall and in most sociodemographic groups, but not among males, blacks, or individuals in rural areas, although these groups did experience larger decreases in rates compared with other groups. During 2007 through 2017, cancer death rates decreased 15% overall, ranging from −4% (rural) to −22% (metropolitan). Targets for breast and colorectal cancer screening were not yet met overall or in any sociodemographic groups except those with the highest educational attainment, whereas lung cancer screening was generally low (<10%). Targets were not yet met overall for cigarette smoking, recent smoking cessation, excessive alcohol use, or obesity but were met for secondhand smoke exposure and physical activity. Some sociodemographic groups did not meet targets or had less improvement than others toward reaching objectives. CONCLUSIONS: Monitoring trends in cancer risk factors, screening test use, and mortality can help assess the progress made toward decreasing the cancer burden in the United States. Although many interventions to reduce cancer risk factors and promote healthy behaviors are proven to work, they may not be equitably applied or work well in every community. Implementing cancer prevention and control interventions that are sustainable, focused, and culturally appropriate may boost success in communities with the greatest need, ensuring that all Americans can access a path to long, healthy, cancer-free lives. Cancer 2020;126:2250-2266.

Intact glycopeptide identification has long been known as a key and challenging barrier to the comprehensive and accurate understanding the role of glycosylation in an organism. Intact glycopeptide analysis is a blossoming field that has received increasing attention in recent years. Mass spectrometry (MS)-based strategies and relative software tools are major drivers that have greatly facilitated the analysis of intact glycopeptides, particularly intact N-glycopeptides. This manuscript provides a systematic review of the intact glycopeptide identification process using mass spectrometry data generated in shotgun proteomic experiments, which typically focus on N-glycopeptide analysis. Particular attention is paid to the software tools that have been recently developed in the last decade for the interpretation and quality control of glycopeptide spectra acquired using different MS strategies. The review also provides information about the characteristics and applications of these software tools, discusses their advantages and disadvantages, and concludes with a discussion of outstanding tools.

Large-scale profiling of intact glycopeptides is critical but challenging in glycoproteomics. Data independent acquisition (DIA) is an emerging technology with deep proteome coverage and accurate quantitative capability in proteomics studies, but is still in the early stage of development in the field of glycoproteomics. We propose GproDIA, a framework for the proteome-wide characterization of intact glycopeptides from DIA data with comprehensive statistical control by a 2-dimentional false discovery rate approach and a glycoform inference algorithm, enabling accurate identification of intact glycopeptides using wide isolation windows. We further utilize a semi-empirical spectrum prediction strategy to expand the coverage of spectral libraries of glycopeptides. We benchmark our method for N-glycopeptide profiling on DIA data of yeast and human serum samples, demonstrating that DIA with GproDIA outperforms the data-dependent acquisition-based methods for glycoproteomics in terms of capacity and data completeness of identification, as well as accuracy and precision of quantification. We expect that this work can provide a powerful tool for glycoproteomic studies.