Dataset Information

Early estimates of SEER cancer incidence, 2014.

ABSTRACT: BACKGROUND:Cancer incidence rates and trends for cases diagnosed through 2014 using data reported to the Surveillance, Epidemiology, and End Results (SEER) program in February 2016 and a validation of rates and trends for cases diagnosed through 2013 and submitted in February 2015 using the November 2015 submission are reported. New cancer sites include the pancreas, kidney and renal pelvis, corpus and uterus, and childhood cancer sites for ages birth to 19 years inclusive. METHODS:A new reporting delay model is presented for these estimates for more consistent results with the model used for the usual November SEER submissions, adjusting for the large case undercount in the February submission. Joinpoint regression methodology was used to assess trends. Delay-adjusted rates and trends were checked for validity between the February 2016 and November 2016 submissions. RESULTS:Validation revealed that the delay model provides similar estimates of eventual counts using either February or November submission data. Trends declined through 2014 for prostate and colon and rectum cancer for males and females, male and female lung cancer, and cervical cancer. Thyroid cancer and liver and intrahepatic bile duct cancer increased. Pancreas (male and female) and corpus and uterus cancer demonstrated a modest increase. Slight increases occurred for male kidney and renal pelvis, and for all childhood cancer sites for ages birth to 19 years. CONCLUSIONS:Evaluating early cancer data submissions, adjusted for reporting delay, produces timely and valid incidence rates and trends. The results of the current study support using delay-adjusted February submission data for valid incidence rate and trend estimates over several data cycles. Cancer 2017;123:2524-34. © 2017 American Cancer Society.

SUBMITTER: Lewis DR

PROVIDER: S-EPMC7493462 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Early estimates of SEER cancer incidence, 2014.

Lewis Denise Riedel DR Chen Huann-Sheng HS Cockburn Myles G MG Wu Xiao-Cheng XC Stroup Antoinette M AM Midthune Douglas N DN Zou Zhaohui Z Krapcho Martin F MF Miller Daniel G DG Feuer Eric J EJ

Cancer 20170214 13

<h4>Background</h4>Cancer incidence rates and trends for cases diagnosed through 2014 using data reported to the Surveillance, Epidemiology, and End Results (SEER) program in February 2016 and a validation of rates and trends for cases diagnosed through 2013 and submitted in February 2015 using the November 2015 submission are reported. New cancer sites include the pancreas, kidney and renal pelvis, corpus and uterus, and childhood cancer sites for ages birth to 19 years inclusive.<h4>Methods</h ...[more]

PMID: 28195651

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Project description:BACKGROUND:Metaplastic breast cancer (MBC) is a rare disease subtype characterized by an aggressive clinical course. MBC is commonly triple negative (TN), although hormone receptor (HR) positive and human epidermal growth receptor 2 (HER2) positive cases do occur. Previous studies have reported similar outcomes for MBC with regard to HR status. Less is known about outcomes for HER2 positive MBC. MATERIALS AND METHODS:Surveillance, Epidemiology, and End Results Program data were used to identify women diagnosed 2010-2014 with MBC or invasive ductal carcinoma (IDC). Kaplan-Meier curves estimated overall survival (OS) and multivariate Cox models were fitted. For survival analyses, only first cancers were included, and 2014 diagnoses were excluded to allow for sufficient follow-up. RESULTS:Our MBC sample included 1,516 women. Relative to women with IDC, women with MBC were more likely to be older (63 vs. 61 years), black (16.0% vs. 11.1%), and present with stage III disease (15.6% vs. 10.8%). HER2 positive and HER2 negative/HR positive MBC tumors represented 5.2% and 23.0% of cases. For MBC overall, 3-year OS was greatest for women with HER2 positive MBC (91.8%), relative to women with TN (75.4%) and HER2 negative/HR positive MBC (77.1%). This difference was more pronounced for stage III MBC, for which 3-year OS was 92.9%, 47.1%, and 42.2% for women with HER2 positive, TN, and HER2 negative/HR positive MBC, respectively. A multivariate Cox model of MBC demonstrated that HER2 positive tumors (relative to TN) were associated with improved survival (hazard ratio?=?0.32, 95% confidence interval [CI] 0.13-0.79). In a second Cox model of exclusively HER2 positive tumors, OS did not differ between MBC and IDC disease subtypes (hazard ratio?=?1.16, 95% CI 0.48-2.81). CONCLUSION:In this contemporary, population-based study of women with MBC, HER2 but not HR status was associated with improved survival. Survival was similar between HER2 positive MBC and HER2 positive IDC. This suggests HER2 positive MBC is responsive to HER2-directed therapy, a finding that may offer insights for additional therapeutic approaches to MBC. IMPLICATIONS FOR PRACTICE:This population-based study reports recent outcomes, by receptor status, for women with metaplastic breast cancer. Survival in metaplastic breast cancer is not impacted by hormone receptor status. To the authors' knowledge, this is the first report indicating that women with human epidermal growth receptor 2 (HER2) positive metaplastic breast cancer have survival superior to women with HER2 negative metaplastic breast cancer and survival similar to women with HER2 positive invasive ductal carcinoma. This information can be used for counseling patients diagnosed with metaplastic breast cancer. Further understanding of HER2 positive metaplastic breast cancer could offer insights for the development of therapeutic approaches to metaplastic breast cancer more broadly.

Project description:BackgroundAt present, there was no large epidemiological study exploring the actual incidence and survival of second primary colorectal cancer (spCRC). The different characteristics and survival of patients with spCRC and initial primary colorectal cancer (ipCRC) still need to be elucidated. In addition, the factors leading to different survival status of spCRC and ipCRC were still unclear. Our study plan to explore the annual incidence trend of spCRC as well as the factors influencing the occurrence and survival outcome of spCRC.MethodsThis cohort study analyzed the data of 4680 spCRC patients and 330,937 initial primary colorectal cancer (ipCRC) patients. Whether patients had spCRC and whether spCRC patients survived or died were regarded as outcomes. The annual incidence of spCRC from 2004 to 2016 was analyzed by Jointpoint regression analysis. The truncation points were found, and the annual percentage change (APC) of each segment was calculated to explore the trend of spCRC change in the United States. Univariate and multivariable cox regression analyses were conducted to identify factors associated with the occurrence and prognosis of spCRC patients.ResultsThe total incidence of spCRC was decreased during 2000-2016 on the whole. The overall incidence of spCRC was lowered in both males and females despite 2013-2014, in the left colon, right colon, rectum and others. The incidence of spCRC was decreased in both 18-49 years' people and ≥ 50 years' people during 2000-2016, and the incidence of spCRC in the ≥ 50 years' people group was higher than those of 18-49 years. Insured (OR = 0.867 (0.778-0.966), initial primary site of other digestive (OR = 0.46, 95%CI: 0.42-0.50), rectum (OR = 0.74, 95%CI: 0.66-0.82), or right colon (OR = 0.73, 95%CI: 0.68-0.79), N 1 stage (OR = 0.87, 95%CI: 0.76-0.99), M 1 stage (OR = 0.49, 95%CI: 0.30-0.80), AJCC II stage (OR = 0.70, 95%CI: 0.60-0.82), AJCC III stage (OR = 0.69, 95%CI: 0.56-0.84), and radiation (OR = 0.69, 95%CI: 0.57-0.83) were associated with the risk of spCRC. At the end of follow-up, 2,246 spCRC patients were survived and 2,434 spCRC patients were dead. Patients with spCRC had poor survival probability than patients with ipCRC. Older age (HR = 1.02, 95%CI: 1.02-1.03), male (HR = 1.13, 95%CI: 1.04-1.23), Black (HR = 1.20, 95%CI: 1.06-1.35), uninsured (HR = 1.36, 95%CI: 1.16-1.59), Signet ring cell carcinoma (HR = 1.64, 95%CI: 1.19-2.25), T4 stage (HR = 1.63, 95%CI: 1.32-2.01), N2 stage (HR = 1.36, 95%CI: 1.08-1.72), M1 stage (HR = 4.51, 95%CI: 2.00-10.18), AJCC III (HR = 1.47, 95%CI: 1.08-1.98), and radiation (HR = 1.82, 95%CI: 1.43-2.33) were associated with increased risk of mortality in spCRC patients.ConclusionThe incidence of spCRC was decreased except in people with initial primary tumor grade IV and those aged 15-39 years. The overall survival of spCRC patients was lower than ipCRC patients. Cancer patients with older age, high tumor grade, TNM stage, and AJCC stage should be caution to the occurrence of spCRC and timely interventions should be provided for spCRC patients to improve their outcomes.

Project description:BackgroundPrevious research has identified an association between fine particulate matter (PM2.5) air pollution and lung cancer. Most of the evidence for this association, however, is based on research using lung cancer mortality, not incidence. Research that examines potential associations between PM2.5 and incidence of non-lung cancers is limited.ObjectivesThe primary purpose of this study was to evaluate the association between the incidence of cancer and exposure to PM2.5 using >8.5 million cases of cancer incidences from U.S. registries. Secondary objectives include evaluating the sensitivity of the associations to model selection, spatial control, and latency period as well as estimating the exposure-response relationship for several cancer types.MethodsSurveillance, Epidemiology, and End Results (SEER) program data were used to calculate incidence rates for various cancer types in 607 U.S. counties. County-level PM2.5 concentrations were estimated using integrated empirical geographic regression models. Flexible semi-nonparametric regression models were used to estimate associations between PM2.5 and cancer incidence for selected cancers while controlling for important county-level covariates. Primary time-independent models using average incidence rates from 1992-2016 and average PM2.5 from 1988-2015 were estimated. In addition, time-varying models using annual incidence rates from 2002-2011 and lagged moving averages of annual estimates for PM2.5 were also estimated.ResultsThe incidences of all cancer and lung cancer were consistently associated with PM2.5. The incident rate ratios (IRRs), per 10-μg/m3 increase in PM2.5, for all and lung cancer were 1.09 (95% CI: 1.03, 1.14) and 1.19 (95% CI: 1.09, 1.30), respectively. Less robust associations were observed with oral, rectal, liver, skin, breast, and kidney cancers.DiscussionExposure to PM2.5 air pollution contributes to lung cancer incidence and is potentially associated with non-lung cancer incidence. https://doi.org/10.1289/EHP7246.

Project description:BackgroundThe prognosis of lung cancer with synchronous brain metastasis (LCBM) is very poor, and patients often die within a short time. However, little is known about the early mortality and related factors in patients with LCBM.MethodsPatients diagnosed with LCBM between 2010 and 2016 were enrolled from the Surveillance, Epidemiology, and End Result (SEER) database. Univariate and multivariate logistic regression analysis were used to identify significant independent prognostic factors, which were used to construct nomograms of overall and cancer-specific early death. Then, the prediction ability of the model was verified by receiver operating characteristic (ROC) curve. At last, the clinical application value of the model was tested through decision curve analysis (DCA).ResultsA total of 29,902 patients with LCBM were enrolled in this study. Among them, 13,275 (44.4%) patients had early death, and 11,425 (38.2%) cases died of lung cancer. The significant independent risk factors for overall and cancer-specific early death included age, race, gender, Gleason grade, histological type, T stage, N stage, bone metastasis, liver metastasis and marital status, which were used to construct the nomogram. The ROC curve demonstrated good predictive ability and clinical application value. The areas under the curve (AUC) of the training group was 0.793 (95% CI: 0.788-0.799) and 0.794 (95% CI: 0.788-0.799), in the model of overall and cancer-specific early death respectively. And the AUC of the validation group were 0.803 (95% CI: 0.788-0.818) and 0.806 (95% CI: 0.791-0.821), respectively. The calibration plots of the model showed that the predicted early death is consistent with the actual value. The DCA analysis indicated a good clinical application value of this model.ConclusionsWe established a comprehensive nomogram to predict early death in lung cancer patients with synchronous brain metastases. Nomograms may help oncologists develop better treatment strategies, such as clinical trials and hospice care.

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Early estimates of SEER cancer incidence, 2014.

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Early estimates of SEER cancer incidence, 2014.

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