Uterine Fibroid Prevalence in a Predominantly Black, Chicago-Based Cohort.

(1) Objectives: To investigate the effect of individual-level, neighborhood, and environmental variables on uterine fibroid (UF) prevalence in a Chicago-based cohort. (2) Methods: Data from the Chicago Multiethnic Prevention and Surveillance Study (COMPASS) were analyzed. Individual-level variables were obtained from questionnaires, neighborhood variables from the Chicago Health Atlas, and environmental variables from NASA satellite ambient air exposure levels. The Shapiro-Wilk test, logistic regression models, and Spearman's correlations were used to evaluate the association of variables to UF diagnosis. (3) Results: We analyzed 602 participants (mean age: 50.3 ± 12.3) who responded to a question about UF diagnosis. More Black than White participants had a UF diagnosis (OR, 1.32; 95% CI, 0.62-2.79). We observed non-significant trends between individual-level and neighborhood variables and UF diagnosis. Ambient air pollutants, PM2.5, and DSLPM were protective against UF diagnosis (OR 0.20, CI: 0.04-0.97: OR 0.33, CI: 0.13-0.87). (4) Conclusions: Associations observed within a sample in a specific geographic area may not be generalizable and must be interpreted cautiously.

Duration-sensitive association between air pollution exposure and changes in cardiometabolic biomarkers: Evidence from a predominantly African American cohort.

BACKGROUND: Ambient fine particulate matter (PM2.5) exposure has been related to cardiometabolic diseases, but the underlying biological pathways remain unclear at the population level. OBJECTIVE: To investigate the effect of PM2.5 exposure on changes in multiple cardiometabolic biomarkers across different exposure durations. METHOD: Data from a prospective cohort study were analyzed. Ten cardiometabolic biomarkers were measured, including ghrelin, resistin, leptin, C-peptide, creatine kinase myocardial band (CK-MB), monocyte chemoattractant protein-1 (MCP-1), tumor necrosis factor alpha (TNF-alpha), N-terminal pro B-type natriuretic peptide (NT-proBNP), troponin, and interleukin-6 (IL-6). PM2.5 levels across exposure durations from 1 to 36 months were assessed. Mixed effect model was used to estimate changes in biomarker levels against 1 µg/m3 increase in PM2.5 level across different exposure durations. RESULTS: Totally, 641 participants were included. The average PM2.5 exposure level was 9 µg/m3. PM2.5 exposure was inversely associated with ghrelin, and positively associated with all other biomarkers. The magnitudes of these associations were duration-sensitive and exhibited a U-shaped or inverted-U-shaped trend. For example, the association of resistin were ß = 0.05 (95% CI: 0.00, 0.09) for 1-month duration, strengthened to ß = 0.27 (95% CI: 0.14, 0.41) for 13-month duration, and weakened to ß = 0.12 (95% CI: -0.03, 0.26) for 24-month duration. Similar patterns were observed for other biomarkers except for CK-MB, of which the association direction switched from negative to positive as the duration increased. Resistin, leptin, MCP-1, TNF-alpha, and troponin had a sensitive exposure duration of nearly 12 months. Ghrelin and C-peptide were more sensitive to longer-term exposure (>18 months), while NT-proBNP and IL-6 were more sensitive to shorter-term exposure (<6 months). CONCLUSION: PM2.5 exposure was associated with elevated levels in cardiometabolic biomarkers related to insulin resistance, inflammation, and heart injury. The magnitudes of these associations depended on the exposure duration. The most sensitive exposure durations of different biomarkers varied.

Air quality and cancer risk in the All of Us Research Program.

INTRODUCTION: The NIH All of Us Research Program has enrolled over 544,000 participants across the US with unprecedented racial/ethnic diversity, offering opportunities to investigate myriad exposures and diseases. This paper aims to investigate the association between PM2.5 exposure and cancer risks. MATERIALS AND METHODS: This work was performed on data from 409,876 All of Us Research Program participants using the All of Us Researcher Workbench. Cancer case ascertainment was performed using data from electronic health records and the self-reported Personal Medical History questionnaire. PM2.5 exposure was retrieved from NASA's Earth Observing System Data and Information Center and assigned using participants' 3-digit zip code prefixes. Multivariate logistic regression was used to estimate the odds ratio (OR) and 95% confidence interval (CI). Generalized additive models (GAMs) were used to investigate non-linear relationships. RESULTS: A total of 33,387 participants and 46,176 prevalent cancer cases were ascertained from participant EHR data, while 20,297 cases were ascertained from self-reported survey data from 18,133 participants; 9,502 cancer cases were captured in both the EHR and survey data. Average PM2.5 level from 2007 to 2016 was 8.90 µg/m3 (min 2.56, max 15.05). In analysis of cancer cases from EHR, an increased odds for breast cancer (OR 1.17, 95% CI 1.09-1.25), endometrial cancer (OR 1.33, 95% CI 1.09-1.62) and ovarian cancer (OR 1.20, 95% CI 1.01-1.42) in the 4th quartile of exposure compared to the 1st. In GAM, higher PM2.5 concentration was associated with increased odds for blood cancer, bone cancer, brain cancer, breast cancer, colon and rectum cancer, endocrine system cancer, lung cancer, pancreatic cancer, prostate cancer, and thyroid cancer. CONCLUSIONS: We found evidence of an association of PM2.5 with breast, ovarian, and endometrial cancers. There is little to no prior evidence in the literature on the impact of PM2.5 on risk of these cancers, warranting further investigation.

The impact of neighborhood disadvantage on colorectal cancer screening among African Americans in Chicago.

Historically, colorectal cancer (CRC) screening rates have been lower among African Americans. Previous studies that have examined the relationship between community characteristics and adherence to CRC screening have generally focused on a single community parameter, making it challenging to evaluate the overall impact of the social and built environment. In this study, we will estimate the overall effect of social and built environment and identify the most important community factors relevant to CRC screening. Data are from the Multiethnic Prevention and Surveillance Study (COMPASS), a longitudinal study among adults in Chicago, collected between May 2013 to March 2020. A total 2,836 African Americans completed the survey. Participants' addresses were geocoded and linked to seven community characteristics (i.e., community safety, community crime, household poverty, community unemployment, housing cost burden, housing vacancies, low food access). A structured questionnaire measured adherence to CRC screening. Weighted quantile sum (WQS) regression was used to evaluate the impact of community disadvantages on CRC screening. When analyzing all community characteristics as a mixture, overall community disadvantage was associated with less adherence to CRC screening even after controlling for individual-level factors. In the adjusted WQS model, unemployment was the most important community characteristic (37.6%), followed by community insecurity (26.1%) and severe housing cost burden (16.3%). Results from this study indicate that successful efforts to improve adherence to CRC screening rates should prioritize individuals living in communities with high rates of insecurity and low socioeconomic status.

Association of DNA Promoter Methylation and BRAF Mutation in Thyroid Cancer.

The BRAF V600E mutation and DNA promoter methylation play important roles in the pathogenesis of thyroid cancer (TC). However, the association of these genetic and epigenetic alterations is not clear. In this study, using paired tumor and surrounding normal tissue from the same patients, on a genome-wide scale we tried to identify (a) any association between BRAF mutation and DNA promoter methylation, and (b) if the molecular findings may provide a basis for therapeutic intervention. We included 40 patients with TC (female = 28, male = 12) without distant metastasis. BRAF mutation was present in 18 cases. We identified groups of differentially methylated loci (DML) that are found in (a) both BRAF mutant and wild type, (b) only in BRAF mutant tumors, and (c) only in BRAF wild type. BRAF mutation-specific promoter loci were more frequently hypomethylated, whereas BRAF wild-type-specific loci were more frequently hypermethylated. Common DML were enriched in cancer-related pathways, including the mismatch repair pathway and Wnt-signaling pathway. Wild-type-specific DML were enriched in RAS signaling. Methylation status of checkpoint signaling genes, as well as the T-cell inflamed genes, indicated an opportunity for the potential use of PDL1 inhibitors in BRAF mutant TC. Our study shows an association between BRAF mutation and methylation in TC that may have biological significance.

A metabolome-wide case-control study of african american breast cancer patients.

BACKGROUND: Breast cancer survivors face long-term sequelae compared to the general population, suggesting altered metabolic profiles after breast cancer. We used metabolomics approaches to investigate the metabolic differences between breast cancer patients and women in the general population, aiming to elaborate metabolic changes among breast cancer patients and identify potential targets for clinical interventions to mitigate long-term sequelae. METHODS: Serum samples were retrieved from 125 breast cancer cases recruited from the Chicago Multiethnic Epidemiologic Breast Cancer Cohort (ChiMEC), and 125 healthy controls selected from Chicago Multiethnic Prevention and Surveillance Study (COMPASS). We used liquid chromatography-high resolution mass spectrometry to obtain untargeted metabolic profiles and partial least squares discriminant analysis (PLS-DA) combined with fold change to select metabolic features associated with breast cancer. Pathway analyses were conducted using Mummichog to identify differentially enriched metabolic pathways among cancer patients. As potential confounders we included age, marital status, tobacco smoking, alcohol drinking, type 2 diabetes, and area deprivation index in our model. Random effects of residence for intercept was also included in the model. We further conducted subgroup analysis by treatment timing (chemotherapy/radiotherapy/surgery), lymph node status, and cancer stages. RESULTS: The entire study participants were African American. The average ages were 57.1 for cases and 58.0 for controls. We extracted 15,829 features in total, among which 507 features were eventually selected by our criteria. Pathway enrichment analysis of these 507 features identified three differentially enriched metabolic pathways related to prostaglandin, leukotriene, and glycerophospholipid. The three pathways demonstrated inconsistent patterns. Metabolic features in the prostaglandin and leukotriene pathways exhibited increased abundances among cancer patients. In contrast, metabolic intensity in the glycerolphospholipid pathway was deregulated among cancer patients. Subgroup analysis yielded consistent results. However, changes in these pathways were strengthened when only using cases with positive lymph nodes, and attenuated when only using cases with stage I disease. CONCLUSION: Breast cancer in African American women is associated with increase in serum metabolites involved in prostaglandin and leukotriene pathways, but with decrease in serum metabolites in glycerolphospholipid pathway. Positive lymph nodes and advanced cancer stage may strengthen changes in these pathways.

Cancer Screening Differences Among Muslims and Non-Muslims: Insights from the Chicago Multiethnic Prevention and Surveillance Study.

BACKGROUND: While cancer screening disparities along socioeconomic and racial/ethnic lines are well studied, differences based on religious affiliation are under-researched. Though diverse in terms of race/ethnicity, Muslim Americans appear to share values and beliefs that similarly inform their health and healthcare seeking behaviors. Cancer screening disparities among Muslim Americans are also understudied. METHODS: To examine differences in cancer screening behaviors based on Muslim affiliation, we analyzed data from a longitudinal cohort study examining lifestyle, healthcare access, environmental, and genetic factors on the health of Chicagoans. RESULTS: Of 7552 participants, 132 (1.7%) were Muslim. Between Muslim and non-Muslims, there were no significant differences in prostate, cervical, and breast cancer screening rates, but Muslims were less likely to undergo colorectal cancer screening. When differences in obesity and insurance status were accounted for in a multivariate regression model, religious affiliation was no longer significantly associated with screening rates. DISCUSSION: Religious values can influence cancer screening behaviors; hence, tracking cancer screening along religious lines may illuminate previously unknown disparities. Our analysis of a predominately African American cohort of Chicagoans, however, did not reveal religious affiliation to predict cancer screening disparities.

An Overview of Cancer in the First 315,000 All of Us Participants.

INTRODUCTION: The NIH All of Us Research Program will have the scale and scope to enable research for a wide range of diseases, including cancer. The program's focus on diversity and inclusion promises a better understanding of the unequal burden of cancer. Preliminary cancer ascertainment in the All of Us cohort from two data sources (self-reported versus electronic health records (EHR)) is considered. MATERIALS AND METHODS: This work was performed on data collected from the All of Us Research Program's 315,297 enrolled participants to date using the Researcher Workbench, where approved researchers can access and analyze All of Us data on cancer and other diseases. Cancer case ascertainment was performed using data from EHR and self-reported surveys across key factors. Distribution of cancer types and concordance of data sources by cancer site and demographics is analyzed. RESULTS AND DISCUSSION: Data collected from 315,297 participants resulted in 13,298 cancer cases detected in the survey (in 89,261 participants), 23,520 cancer cases detected in the EHR (in 203,813 participants), and 7,123 cancer cases detected across both sources (in 62,497 participants). Key differences in survey completion by race/ethnicity impacted the makeup of cohorts when compared to cancer in the EHR and national NCI SEER data. CONCLUSIONS: This study provides key insight into cancer detection in the All of Us Research Program and points to the existing strengths and limitations of All of Us as a platform for cancer research now and in the future.

Developing an algorithm across integrated healthcare systems to identify a history of cancer using electronic medical records.

OBJECTIVE: Tumor registries in integrated healthcare systems (IHCS) have high precision for identifying incident cancer but often miss recently diagnosed cancers or those diagnosed outside of the IHCS. We developed an algorithm using the electronic medical record (EMR) to identify people with a history of cancer not captured in the tumor registry to identify adults, aged 40-65 years, with no history of cancer. MATERIALS AND METHODS: The algorithm was developed at Kaiser Permanente Colorado, and then applied to 7 other IHCS. We included tumor registry data, diagnosis and procedure codes, chemotherapy files, oncology encounters, and revenue data to develop the algorithm. Each IHCS adapted the algorithm to their EMR data and calculated sensitivity and specificity to evaluate the algorithm's performance after iterative chart review. RESULTS: We included data from over 1.26 million eligible people across 8 IHCS; 55 601 (4.4%) were in a tumor registry, and 44848 (3.5%) had a reported cancer not captured in a registry. The common attributes of the final algorithm at each site were diagnosis and procedure codes. The sensitivity of the algorithm at each IHCS was 90.65%-100%, and the specificity was 87.91%-100%. DISCUSSION: Relying only on tumor registry data would miss nearly half of the identified cancers. Our algorithm was robust and required only minor modifications to adapt to other EMR systems. CONCLUSION: This algorithm can identify cancer cases regardless of when the diagnosis occurred and may be useful for a variety of research applications or quality improvement projects around cancer care.

Tobacco and marijuana use and their association with serum prostate-specific antigen levels among African American men in Chicago.

African American (AA) men experience more than twice the prostate cancer mortality as White men yet are under-represented in academic research involving prostate-specific antigen (PSA), a biomarker of prostate cancer aggressiveness. We examined the impact of self-reported tobacco (cigarette pack-years and current tobacco use including e-cigarettes) and current regular marijuana use on serum PSA level based on clinical laboratory testing among 928 AA men interviewed 2013-2018 in Chicago. We defined outcome of elevated PSA ≥ 4.0 ng/mL for logistic regression models and continuous PSA increases for general linear models. All models were adjusted for age, sociodemographic characteristics, healthcare utilization, body mass index, and self-reported health. Among 431 AA men age ≥ 55 years, we observed ∼ 5 times the odds of elevated PSA among those with > 1 pack-years of cigarette smoking vs. never-smokers (odds ratio [OR] = 5.09; 95% confidence interval [CI] = 1.57-16.6) and a quarter the odds of elevated PSA among current marijuana users vs. non-users (OR = 0.27; 95% CI = 0.08-0.96). PSA increased on average 1.20 ng/mL among other current tobacco users vs. non-users. Among older AA men, cigarette smoking history and current tobacco use were positively associated with an increase in PSA levels and current marijuana use were inversely associated with PSA levels. Future work with studies of diverse patient populations with cancer outcomes are needed to assess whether these behavioral characteristics contribute to racial/ ethnic disparities in prostate cancer outcomes. Our study provides novel evidence regarding potential differences in PSA levels among older AA men according to behavioral characteristics.

Cohort profile: the ChicagO Multiethnic Prevention and Surveillance Study (COMPASS).

PURPOSE: The ChicagO Multiethnic Prevention and Surveillance Study or 'COMPASS' is a population-based cohort study with a goal to examine the risk and determinants of cancer and chronic disease. COMPASS aims to address factors causing and/or exacerbating health disparities using a precision health approach by recruiting diverse participants in Chicago, with an emphasis on those historically underrepresented in biomedical research. PARTICIPANTS: Nearly 8000 participants have been recruited from 72 of the 77 Chicago community areas. Enrolment entails the completion of a 1-hour long survey, consenting for past and future medical records from all sources, the collection of clinical and physical measurement data and the on-site collection of biological samples including blood, urine and saliva. Indoor air monitoring data and stool samples are being collected from a subset of participants. On collection, all biological samples are processed and aliquoted within 24 hours before long-term storage and subsequent analysis. FINDINGS TO DATE: The cohort reported an average age of 53.7 years, while 80.5% identified as African-American, 5.7% as Hispanic and 47.8% as men. Over 50% reported earning less than US$15 000 yearly, 35% were obese and 47.8% were current smokers. Moreover, 38% self-reported having had a diagnosis of hypertension, while 66.4% were measured as hypertensive at enrolment. FUTURE PLANS: We plan to expand recruitment up to 100 000 participants from the Chicago metropolitan area in the next decade using a hybrid community and clinic-based recruitment framework that incorporates data collection through mobile medical units. Follow-up data collection from current cohort members will include serial samples, as well as longitudinal health, lifestyle and behavioural assessment. We will supplement self-reported data with electronic medical records, expand the collection of biometrics and biosamples to facilitate increasing digital epidemiological study designs and link to state and/or national level databases to ascertain outcomes. The results and findings will inform potential opportunities for precision disease prevention and mitigation in Chicago and other urban areas with a diverse population. REGISTRATION: NA.

An update in international trends in incidence rates of thyroid cancer, 1973-2007.

PURPOSE: Over the past several decades, there has been a reported increase in the incidence of thyroid cancer in many countries. We previously reported an increase in thyroid cancer incidence across continents between 1973 and 2002. Here, we provide an update on the international trends in thyroid cancer between 2003 and 2007. METHODS: We examined thyroid cancer incidence data from the Cancer Incidence in Five Continents (CI5) database for the period between 1973 and 2007 from 24 populations in the Americas, Asia, Europe, Africa and Oceania, and report on the time trends as well as the distribution by histologic type and gender worldwide. RESULTS: The incidence of thyroid cancer increased during the period from 1998-2002 to 2003-2007 in the majority of populations examined, with the highest rates observed among women, most notably in Israel and the United States SEER registry, at over 14 per 100,000 people. This update suggests that incidence is rising in a similar fashion across all regions of the world. The histologic and gender distributions in the updated CI5 are consistent with the previous report. CONCLUSIONS: Our analysis of the published CI5 data illustrates that the incidence of thyroid cancer increased between 1998-2002 and 2003-2007 in most populations worldwide, and rising rates continue in all regions of the world.

Quality of life in thyroid cancer-assessment of physician perceptions.

BACKGROUND: Thyroid cancer is the fastest growing malignancy in the United States. Previous studies have shown a decrease in quality of life (QoL) after the treatment of thyroid cancer. To date, there have been no studies assessing physician perceptions regarding how a diagnosis of thyroid cancer affects QoL. Based on this and other findings from our study, we aim to assess physician perceptions on the effect of thyroid cancer on QoL. MATERIALS AND METHODS: Physicians were recruited from two national organizations comprised physicians focusing on thyroid cancer. A 37-question survey was administered evaluating physician's perceptions of thyroid cancer patient satisfaction in various aspects of treatment, complications, and overall effects on QoL. QoL responses were categorized into overall QoL, physical, psychological, social, and spiritual well-being. RESULTS: One hundred five physicians completed the survey. Physician's estimates of patient's overall QoL after thyroid cancer treatment was similar to overall QoL reported by patients. However, medical physicians overestimated the decrease in thyroid cancer survivor's QoL in several subcategories including physical, psychological, and social (P < 0.05). Both surgeons and medical physicians underestimated the percentage of patients with reported symptoms of temporary and permanent voice changes, temporary dry mouth, cold/heat sensitivity, and temporary and permanent hypocalcemia (P = 0.01-0.04). CONCLUSIONS: Physicians have a varied estimation of the detrimental impact of thyroid cancer treatment on QoL. In addition, physicians underestimated the amount of physical symptoms associated with thyroid cancer treatments. Increased physician awareness of the detrimental effects of a thyroid cancer diagnosis on QoL should allow for a more accurate conversation about expected outcomes after thyroid cancer treatment.

Occupational pesticide exposure and subclinical hypothyroidism among male pesticide applicators.

OBJECTIVES: Animal studies suggest that exposure to pesticides may alter thyroid function; however, few epidemiologic studies have examined this association. We evaluated the relationship between individual pesticides and thyroid function in 679 men enrolled in a substudy of the Agricultural Health Study, a cohort of licensed pesticide applicators. METHODS: Self-reported lifetime pesticide use was obtained at cohort enrolment (1993-1997). Intensity-weighted lifetime days were computed for 33 pesticides, which adjusts cumulative days of pesticide use for factors that modify exposure (eg, use of personal protective equipment). Thyroid-stimulating hormone (TSH), thyroxine (T4), triiodothyronine (T3) and antithyroid peroxidase (anti-TPO) autoantibodies were measured in serum collected in 2010-2013. We used multivariate logistic regression to estimate ORs and 95% CIs for subclinical hypothyroidism (TSH >4.5 mIU/L) compared with normal TSH (0.4-<4.5 mIU/L) and for anti-TPO positivity. We also examined pesticide associations with TSH, T4 and T3 in multivariate linear regression models. RESULTS: Higher exposure to the insecticide aldrin (third and fourth quartiles of intensity-weighted days vs no exposure) was positively associated with subclinical hypothyroidism (ORQ3=4.15, 95% CI 1.56 to 11.01, ORQ4=4.76, 95% CI 1.53 to 14.82, ptrend <0.01), higher TSH (ptrend=0.01) and lower T4 (ptrend=0.04). Higher exposure to the herbicide pendimethalin was associated with subclinical hypothyroidism (fourth quartile vs no exposure: ORQ4=2.78, 95% CI 1.30 to 5.95, ptrend=0.02), higher TSH (ptrend=0.04) and anti-TPO positivity (ptrend=0.01). The fumigant methyl bromide was inversely associated with TSH (ptrend=0.02) and positively associated with T4 (ptrend=0.01). CONCLUSIONS: Our results suggest that long-term exposure to aldrin, pendimethalin and methyl bromide may alter thyroid function among male pesticide applicators.

Development of the ThyCAT: A clinically useful computerized adaptive test to assess quality of life in thyroid cancer survivors.

BACKGROUND: Current quality of life assessment tools for thyroid cancer survivors are not clinically useful due to the length of available questionnaires. Computerized adaptive tests are easily administered electronically and can achieve highly accurate and efficient results in minimal time. We aimed to develop a quality of life computerized adaptive tests (ThyCAT) for thyroid cancer survivors. METHODS: A bifactor item response theory model was fit to questionnaire responses from 1,078 North American Thyroid Cancer Survivorship Study participants-a longitudinal cohort study of quality of life in thyroid cancer survivors. Tuning parameters were selected to maintain a correlation of r > 0.9 with the total item bank quality of life score obtained from the original North American Thyroid Cancer Survivorship Study questions, using a minimal number of adaptively administered ThyCAT items. RESULTS: The ThyCAT assesses quality of life with strong correlation (r = 0.96) with the original 75 North American Thyroid Cancer Survivorship Study questions using an average of 9.94 questions (SD ± 3.03) administered in <2 minutes. There was no statistically significant difference in the number of ThyCAT questions required based on demographic or tumor characteristics. CONCLUSION: The ThyCAT can be administered on a smartphone app in <10 questions, and <2 minutes, allowing efficient and accurate in or out of clinic identification of patients struggling with quality of life issues after thyroid cancer treatment.

Radiation-Induced Differentiated Thyroid Cancer Is Associated with Improved Overall Survival but Not Thyroid Cancer-Specific Mortality or Disease-Free Survival.

BACKGROUND: Radiation is a well-described risk factor for differentiated thyroid carcinoma (DTC). Although the natural history of DTC following nuclear disasters and in healthcare workers with chronic radiation exposure (RE) has been described, little is known about DTC following short-term exposure to therapeutic medical radiation for benign disease. This study compares DTC morphology and outcomes in patients with and without a prior history of therapeutic external RE. METHODS: A retrospective review was performed of patients with DTC treated at The University of Chicago between 1951 and 1987, with a median follow-up of 27 years (range 0.3-60 years). Patients were classified as either having (RE+) or not having (RE-) a history of therapeutic RE. Variables examined included sex, age at RE, dose of RE, indication for RE, DTC histology, and outcome. Morphology was determined by blinded retrospective review of all available histologic slides. Outcomes were assessed using Cox proportional hazards model and Kaplan-Meier curves. RESULTS: Of 257 DTC patients, 165 (64%) were RE- and 92 (36%) were RE+, with males comprising a greater proportion of the RE+ group (43.5% vs. 27.3%; p = 0.01). A total of 94.2% of DTC cases were classic papillary cancers; histology did not differ between RE+ and RE- cohorts (p = 0.73). RE was associated with an increased median overall survival (OS; 43 years vs. 38 years; hazard ratio [HR] = 0.55 [confidence interval (CI) 0.34-0.89]; p = 0.01). Survival for males in the RE- group was significantly worse than it was for RE- females (HR = 1.78 [CI 1.05-3.03]; p = 0.03) or RE+ males (HR = 2.98 [CI 1.39-6.38]; p = 0.01). Recurrence did not differ between the RE+ and RE- groups (HR = 0.85 [CI 0.52-1.41]; p = 0.54), nor did DTC-specific mortality (HR = 0.54 [CI 0.21-1.37]; p = 0.20). CONCLUSIONS: While DTC following RE has historically been considered a more aggressive variant than DTC in the absence of RE, the present data indicate that RE+ DTC is associated with better OS than RE- DTC, especially for males. Additionally, recent reports are confirmed of equivalent rates of thyroid cancer recurrence. These results warrant further investigation into the factors underlying this unexpected finding.

Epigenetic Alterations and Canonical Pathway Disruption in Papillary Thyroid Cancer: A Genome-wide Methylation Analysis.

BACKGROUND: Alterations in DNA methylation have been demonstrated in a variety of malignancies, including papillary thyroid cancer (PTC). The full extent of dysregulation in PTC and the downstream affected pathways remains unclear. Here we report a genome-wide analysis of PTC methylation, the dysregulation of various canonical pathways, and assess its potential as a diagnostic test. METHODS: A discovery set utilized 49 PTCs and matched normal controls from The Cancer Genome Atlas. Another set of 16 PTCs and 13 normal controls were used as a replication set. Genome-wide methylation analysis was done using Illumina 450 K methylation chips. Differentially methylated loci (DML) were identified by comparing PTC and matched normal tissues. DML were defined as false-discovery rate p < 0.05 and absolute Δß ≥ 0.2. DML were then analyzed for pathway and disease commonalities using Qiagen Ingenuity Pathway Analysis. RESULTS: Of 485,577 CpG sites analyzed, 1226 DML were identified in our discovery and replication sets, and 1061 (86.5 %) DML showed hypomethylation when comparing tumor with normal tissue. Support vector machine classification was able to differentiate benign from malignant tissue in 107 (94.7 %) of 113 tested samples, including 15 (83.3 %) of 18 samples lacking a clearly deleterious mutation. Statistically significant associations with multiple canonical pathways, diseases, and biofunctions were observed including PI3K, PTEN, wnt/ß-catenin, and p53. CONCLUSIONS: Epigenetic dysregulation of multiple canonical pathways are associated with the development of PTC. This methylation signature shows promise as a future adjunctive screening test for thyroid nodules.

The Breast-Thyroid Cancer Link: A Systematic Review and Meta-analysis.

Rates of thyroid cancer in women with a history of breast cancer are higher than expected. Similarly, rates of breast cancer in those with a history of thyroid cancer are increased. Explanations for these associations include detection bias, shared hormonal risk factors, treatment effect, and genetic susceptibility. With increasing numbers of breast and thyroid cancer survivors, clinicians should be particularly cognizant of this association. Here, we perform a systematic review and meta-analysis of the literature utilizing PubMed and Scopus search engines to identify all publications studying the incidence of breast cancer as a secondary malignancy following a diagnosis of thyroid cancer or thyroid cancer following a diagnosis of breast cancer. This demonstrated an increased risk of thyroid cancer as a secondary malignancy following breast cancer [OR = 1.55; 95% confidence interval (CI), 1.44-1.67] and an increased risk of breast cancer as a secondary malignancy following thyroid cancer (OR = 1.18; 95% CI, 1.09-1.26). There is a clear increase in the odds of developing either thyroid or breast cancer as a secondary malignancy after diagnosis with the other. Here, we review this association and current hypothesis as to the cause of this correlation.

Quality of Life in Thyroid Cancer is Similar to That of Other Cancers with Worse Survival.

BACKGROUND: The incidence of thyroid cancer is increasing. As such, the number of survivors is rising, and it has been shown that their quality of life (QOL) is worse than expected. Using results from the North American Thyroid Cancer Survivorship Study (NATCSS), a large-scale survivorship study, we aim to compare the QOL of thyroid cancer survivors to the QOL of survivors of other types of cancer. METHODS: The NATCSS assessed QOL overall and in four subcategories: physical, psychological, social, and spiritual well-being using the QOL-Cancer Survivor (QOL-CS) instrument. Studies that used the QOL-CS to evaluate survivors of other types of cancers were compared to the NATCSS findings using two-tailed t tests. RESULTS: We compared results from NATCSS to QOL survivorship studies in colon, glioma, breast, and gynecologic cancer. The mean overall QOL in NATCSS was 5.56 (on a scale of 0-10, where 10 is the best). Overall QOL of patients with thyroid cancer was similar to that of patients with colon cancer (mean 5.20, p = 0.13), glioma (mean 5.96, p = 0.23), and gynecologic cancer (mean 5.59, p = 0.43). It was worse than patients surveyed with breast cancer (mean 6.51, p < 0.01). CONCLUSIONS: We found the self-reported QOL of thyroid cancer survivors in our study population is overall similar to or worse than that of survivors of other types of cancer surveyed with the same instrument. This should heighten awareness of the significance of a thyroid cancer diagnosis and highlights the need for further research in how to improve care for this enlarging group of patients.