Andrew Lake

Background: The American Cancer Society (ACS), the Centers for Disease Control and Prevention (CDC), the National Cancer Institute (NCI), and the North American Association of Central Cancer Registries (NAACCR) collaborate to provide annual updates on cancer occurrence and trends in the United States. This Annual Report highlights survival rates. Data were from the CDC- and NCI-funded population-based cancer registry programs and compiled by NAACCR. Trends in age-standardized incidence and death rates for all cancers combined and for the leading cancer types by sex were estimated by joinpoint analysis and expressed as annual percent change. We used relative survival ratios and adjusted relative risk of death after a diagnosis of cancer (hazard ratios [HRs]) using Cox regression model to examine changes or differences in survival over time and by sociodemographic factors. Results: Overall cancer death rates from 2010 to 2014 decreased by 1.8% (95% confidence interval [CI] = -1.8 to -1.8) per year in men, by 1.4% (95% CI = -1.4 to -1.3) per year in women, and by 1.6% (95% CI = -2.0 to -1.3) per year in children. Death rates decreased for 11 of the 16 most common cancer types in men and for 13 of the 18 most common cancer types in women, including lung, colorectal, female breast, and prostate, whereas death rates increased for liver (men and women), pancreas (men), brain (men), and uterine cancers. In contrast, overall incidence rates from 2009 to 2013 decreased by 2.3% (95% CI = -3.1 to -1.4) per year in men but stabilized in women. For several but not all cancer types, survival statistically significantly improved over time for both early and late-stage diseases. Between 1975 and 1977, and 2006 and 2012, for example, five-year relative survival for distant-stage disease statistically significantly increased from 18.7% (95% CI = 16.9% to 20.6%) to 33.6% (95% CI = 32.2% to 35.0%) for female breast cancer but not for liver cancer (from 1.1%, 95% CI = 0.3% to 2.9%, to 2.3%, 95% CI = 1.6% to 3.2%). Survival varied by race/ethnicity and state. For example, the adjusted relative risk of death for all cancers combined was 33% (HR = 1.33, 95% CI = 1.32 to 1.34) higher in non-Hispanic blacks and 51% (HR = 1.51, 95% CI = 1.46 to 1.56) higher in non-Hispanic American Indian/Alaska Native compared with non-Hispanic whites. Conclusions: Cancer death rates continue to decrease in the United States. However, progress in reducing death rates and improving survival is limited for several cancer types, underscoring the need for intensified efforts to discover new strategies for prevention, early detection, and treatment and to apply proven preventive measures broadly and equitably.

BACKGROUND: The American Cancer Society, the Centers for Disease Control and Prevention, the National Cancer Institute, and the North American Association of Central Cancer Registries collaborate to provide annual updates on cancer occurrence and trends in the United States. METHODS: Data on new cancer diagnoses during 2001 through 2016 were obtained from the Centers for Disease Control and Prevention-funded and National Cancer Institute-funded population-based cancer registry programs and compiled by the North American Association of Central Cancer Registries. Data on cancer deaths during 2001 through 2017 were obtained from the National Center for Health Statistics' National Vital Statistics 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.

BACKGROUND: The American Cancer Society (ACS), Centers for Disease Control and Prevention (CDC), National Cancer Institute (NCI), and North American Association of Central Cancer Registries (NAACCR) collaborate annually to produce updated, national cancer statistics. This Annual Report includes a focus on breast cancer incidence by subtype using new, national-level data. METHODS: Population-based cancer trends and breast cancer incidence by molecular subtype were calculated. Breast cancer subtypes were classified using tumor biomarkers for hormone receptor (HR) and human growth factor-neu receptor (HER2) expression. RESULTS: Overall cancer incidence decreased for men by 1.8% annually from 2007 to 2011 [corrected]. Rates for women were stable from 1998 to 2011. Within these trends there was racial/ethnic variation, and some sites have increasing rates. Among children, incidence rates continued to increase by 0.8% per year over the past decade while, like adults, mortality declined. HR+/HER2- breast cancers, the subtype with the best prognosis, were the most common for all races/ethnicities with highest rates among non-Hispanic white women, local stage cases, and low poverty areas (92.7, 63.51, and 98.69 per 100000 non-Hispanic white women, respectively). HR+/HER2- breast cancer incidence rates were strongly, positively correlated with mammography use, particularly for non-Hispanic white women (Pearson 0.57, two-sided P < .001). Triple-negative breast cancers, the subtype with the worst prognosis, were highest among non-Hispanic black women (27.2 per 100000 non-Hispanic black women), which is reflected in high rates in southeastern states. CONCLUSIONS: Progress continues in reducing the burden of cancer in the United States. There are unique racial/ethnic-specific incidence patterns for breast cancer subtypes; likely because of both biologic and social risk factors, including variation in mammography use. Breast cancer subtype analysis confirms the capacity of cancer registries to adjust national collection standards to produce clinically relevant data based on evolving medical knowledge.

BACKGROUND: Temporal trends in prostate cancer incidence and death rates have been attributed to changing patterns of screening and improved treatment (mortality only), among other factors. This study evaluated contemporary national-level trends and their relations with prostate-specific antigen (PSA) testing prevalence and explored trends in incidence according to disease characteristics with stage-specific, delay-adjusted rates. METHODS: Joinpoint regression was used to examine changes in delay-adjusted prostate cancer incidence rates from population-based US cancer registries from 2000 to 2014 by age categories, race, and disease characteristics, including stage, PSA, Gleason score, and clinical extension. In addition, the analysis included trends for prostate cancer mortality between 1975 and 2015 by race and the estimation of PSA testing prevalence between 1987 and 2005. The annual percent change was calculated for periods defined by significant trend change points. RESULTS: For all age groups, overall prostate cancer incidence rates declined approximately 6.5% per year from 2007. However, the incidence of distant-stage disease increased from 2010 to 2014. The incidence of disease according to higher PSA levels or Gleason scores at diagnosis did not increase. After years of significant decline (from 1993 to 2013), the overall prostate cancer mortality trend stabilized from 2013 to 2015. CONCLUSIONS: After a decline in PSA test usage, there has been an increased burden of late-stage disease, and the decline in prostate cancer mortality has leveled off. Cancer 2018;124:2801-2814. © 2018 American Cancer Society.

Public and Private Enterprise clouds are changing the nature of WAN data center interconnects. Data center WAN interconnects today are pre-allocated, static optical trunks of high capacity. These optical pipes carry aggregated packet traffic originating from within the data centers while routing decisions are made by devices at the data center edges. In this paper, we propose a software-defined networking enabled optical transport architecture (Transport SDN) that meshes seamlessly with the deployment of SDN within the Data Centers. The proposed programmable architecture abstracts a core transport node into a programmable virtual switch that leverages the OpenFlow protocol for control. A demonstration use-case of an OpenFlow-enabled optical virtual switch managing a small optical transport network for a big-data application is described. With appropriate extensions to OpenFlow, we discuss how the programmability and flexibility SDN brings to packet-optical data center interconnect will be substantial in solving some of the complex multi-vendor, multi-layer, multi-domain issues that hybrid cloud providers face.