Denise Riedel Lewis

US lung cancer trends by histologic type

Lung cancer incidence rates overall are declining in the United States. This study investigated the trends by histologic type and demographic characteristics.

A population-based study of colorectal cancer histology in the United States, 1998–2001†

Histology is an important factor in the etiology, treatment, and prognosis of cancer. The purpose of this study was to descriptively characterize colorectal cancer (CRC) histology in the United States population.

Next steps for adolescent and young adult oncology workshop: An update on progress and recommendations for the future

Each year, 70,000 adolescents and young adults (AYAs) between ages 15 and 39 years in the United States are diagnosed with cancer. In 2006, a National Cancer Institute (NCI) Progress Review Group (PRG) examined the state of science associated with cancer among AYAs. To assess the impact of the PRG and examine the current state of AYA oncology research, the NCI, with support from the LIVESTRONG Foundation, sponsored a workshop entitled “Next Steps in Adolescent and Young Adult Oncology” on September 16 and 17, 2013, in Bethesda, Maryland. This report summarizes the findings from the workshop, opportunities to leverage existing data, and suggestions for future research priorities. Multidisciplinary teams that include basic scientists, epidemiologists, trialists, biostatisticians, clinicians, behavioral scientists, and health services researchers will be essential for future advances for AYAs with cancer. Cancer 2016;122:988–999.

The crossroads of GIS and health information: a workshop on developing a research agenda to improve cancer control

Cancer control researchers seek to reduce the burden of cancer by studying interventions, their impact in defined populations, and the means by which they can be better used. The first step in cancer control is identifying where the cancer burden is elevated, which suggests locations where interventions are needed. Geographic information systems (GIS) and other spatial analytic methods provide such a solution and thus can play a major role in cancer control. This report presents findings from a workshop held June 16–17, 2005, to bring together experts and stakeholders to address current issues in GIScience and cancer control. A broad range of areas of expertise and interest was represented, including epidemiology, geography, statistics, environmental health, social science, cancer control, cancer registry operations, and cancer advocacy. The goals of this workshop were to build consensus on important policy and research questions, identify roadblocks to future progress in this field, and provide recommendations to overcome these roadblocks.

Cancer Incidence and Survival Trends by Subtype Using Data from the Surveillance Epidemiology and End Results Program, 1992–2013

Background: Cancers are heterogeneous, comprising distinct tumor subtypes. Therefore, presenting the burden of cancer in the population and trends over time by these tumor subtypes is important to identify patterns and differences in the occurrence of these subtypes, especially to generalize findings to the U.S. general population. Methods: Using SEER Cancer Registry Data, we present incidence rates according to subtypes for diagnosis years (1992–2013) among men and women for five major cancer sites: breast (female only), esophagus, kidney and renal pelvis, lung and bronchus, and thyroid. We also describe estimates of 5-year relative survival according to subtypes and diagnosis year (1992–2008). We used Joinpoint models to identify years when incidence rate trends changed slope. Finally, recent 5-year age-adjusted incidence rates (2009–2013) are presented for each subtype by race and age. Results: Hormone receptor–positive and HER2-negative was the most common subtype (about 74%) of breast cancers. Adenocarcinoma made up about 69% of esophagus cases among men. Adenocarcinoma also is the most common lung subtype (43% in men and 52% in women). Ninety percent of thyroid subtypes were papillary. Distinct incidence and survival patterns emerged by these subtypes over time among men and women. Conclusions: Histologic or molecular subtype revealed different incidence and/or survival trends that are masked when cancer is considered as a single disease on the basis of anatomic site. Impact: Presenting incidence and survival trends by subtype, whenever possible, is critical to provide more detailed and meaningful data to patients, providers, and the public. Cancer Epidemiol Biomarkers Prev; 26(4); 632–41. ©2016 AACR.

Adolescent and Young Adult Cancer Survival

Adolescent and young adults (AYAs) face challenges in having their cancers recognized, diagnosed, treated, and monitored. Monitoring AYA cancer survival is of interest because of the lack of improvement in outcome previously documented for these patients as compared with younger and older patient outcomes. AYA patients 15-39 years old, diagnosed during 2000-2008 with malignant cancers were selected from the SEER 17 registries data. Selected cancers were analyzed for incidence and five-year relative survival by histology, stage, and receptor subtypes. Hazard ratios were estimated for cancer death risk among younger and older ages relative to the AYA group. AYA survival was worse for female breast cancer (regardless of estrogen receptor status), acute lymphoid leukemia (ALL), and acute myeloid leukemia (AML). AYA survival for AML was lowest for a subtype associated with a mutation of the nucleophosmin 1 gene (NPM1). AYA survival for breast cancer and leukemia remain poor as compared with younger and older survivors. Research is needed to address disparities and improve survival in this age group.

Analysis of stage and clinical/prognostic factors for lung cancer from SEER registries: AJCC staging and collaborative stage data collection system

The American Joint Committee on Cancer (AJCC) 7th edition introduced major changes in the staging of lung cancer, including the tumor (T), node (N), metastasis (M)—TNM—system and new stage/prognostic site‐specific factors (SSFs), collected under the Collaborative Stage Version 2 (CSv2) Data Collection System. The intent was to improve the stage precision that could guide treatment options and ultimately lead to better survival. This report examines stage trends, the change in stage distributions from the AJCC 6th to the 7th edition, and findings of the prognostic SSFs for 2010 lung cancer cases.

Incidence and incidence trends of the most frequent cancers in adolescent and young adult Americans, including "nonmalignant/noninvasive" tumors

Incidence rates and trends of cancers in adolescents and young adults (AYAs) ages 15 to 39 years were reexamined a decade after the US National Cancer Institute AYA Oncology Progress Review Group was established.

Early estimates of SEER cancer incidence for 2012: Approaches, opportunities, and cautions for obtaining preliminary estimates of cancer incidence

The National Cancer Institutes Surveillance, Epidemiology, and End Results (SEER) program collects and publishes population‐based cancer incidence data from registries covering approximately 28% (seer.cancer.gov/registries/data.html) of the US population. SEER incidence rates are released annually in April from data submitted the prior November. The time needed to identify, consolidate, clean, and submit data requires the latest diagnosis year included to be 3 years before release. Approaches, opportunities, and cautions for an earlier release of data based on a February submission are described.

Health disparities calculator: a methodologically rigorous tool for analyzing inequalities in population health.

Historically, researchers and policy planners have selected a single indicator to measure trends in social inequalities. A more rigorous approach is to review the literature and data, select appropriate inequality measures to address the research question, compute results from various indices, and graphically compare resulting trends. The Health Disparities Calculator (HD*Calc, version 1.2.4; National Cancer Institute, Bethesda, MD) computes results from different indices and graphically displays them, making an arduous task easier, more transparent, and more accessible.