Pre-diagnosis tea and coffee consumption and survival after a diagnosis of ovarian cancer: results from the Ovarian Cancer Association Consortium.

BACKGROUND: Tea and coffee are the most frequently consumed beverages in the world. Green tea in particular contains compounds with potential anti-cancer effects, but its association with survival after ovarian cancer is uncertain. METHODS: We investigated the associations between tea and coffee consumption before diagnosis and survival using data from 10 studies in the Ovarian Cancer Association Consortium. Data on tea (green, black, herbal), coffee and caffeine intake were available for up to 5724 women. We used Cox proportional hazards regression to estimate adjusted hazard ratios (aHR) and 95% confidence intervals (CI). RESULTS: Compared with women who did not drink any green tea, consumption of one or more cups/day was associated with better overall survival (aHR = 0.84, 95% CI 0.71-1.00, p-trend = 0.04). A similar association was seen for ovarian cancer-specific survival in five studies with this information (aHR = 0.81, 0.66-0.99, p-trend = 0.045). There was no consistent variation between subgroups defined by clinical or lifestyle characteristics and adjustment for other aspects of lifestyle did not appreciably alter the estimates. We found no evidence of an association between coffee, black or herbal tea, or caffeine intake and survival. CONCLUSION: The observed association with green tea consumption before diagnosis raises the possibility that consumption after diagnosis might improve patient outcomes.

The relationship of cancer history and chronic disease status to colorectal cancer screening: A cross-sectional analysis of 2020-2021 Behavioral Risk Factor Surveillance System.

PURPOSE: We examined whether having a history of cancer and chronic diseases was associated with guideline-concordant colorectal cancer (CRC) screening utilization. METHODS: Self-reported data from the 2020 and 2021 Behavioral Risk Factor Surveillance System in Oregon and West Virginia were used. Guideline-concordant CRC screening was the outcome of interest. The exposure was having a personal history of cancer, chronic diseases, or both. Multivariable logistic regressions were applied to assess the abovementioned association. RESULTS: Among 10,373 respondents aged 45-75 years, 75.5% of those with a history of cancer and chronic diseases had guideline-concordant CRC screening use versus 52.8% of those without any history (p-value < 0.05). In multivariable analysis, having a history of cancer (OR 1.74; 95% CI 1.11-2.71), chronic diseases (OR 1.35; 95% CI 1.14-1.59), and both cancer and chronic diseases (OR 2.14; 95% CI 1.62-2.82) were positively associated with screening uptake compared to respondents without any history. Regardless of disease history, older age was associated with greater CRC screening uptake (p-value < 0.05). Among respondents with chronic diseases only or without any condition, those with a health care provider had 1.7-fold and 2.7-fold increased odds of receiving CRC screening, respectively. However, current smokers were 28% and 34% less likely to be screened for CRC among those with chronic diseases only and without any conditions, respectively. CONCLUSION: Having a personal history of cancer and chronic diseases appears to be positively associated with guideline-concordant CRC screening use. Effective implementation of patient-centered communication through primary care initiatives may increase adherence to CRC screening recommendations.

Disparities in ovarian cancer survival among ethnic Asian American populations, 2006-2020.

BACKGROUND: Asian Americans have the highest ovarian cancer survival across the major racial groups although it is unclear whether this survival advantage is observed when each Asian ethnic subgroup is examined separately. Disaggregated survival analyses of this heterogeneous population is needed to ensure ethnic-specific disparities are not overlooked. METHODS: Data on ovarian cancer cases diagnosed from 2006 through 2020 from the Surveillance, Epidemiology, and End Results (SEER) Program were analyzed. Age-standardized five-year cause-specific survival was calculated for Non-Hispanic Whites and seven Asian ethnic subgroups in the U.S. (Asian Indian/Pakistani, Chinese, Filipino, Hawaiian/Pacific Islander, Japanese, Korean, Vietnamese) by stage and histotype. Multivariable Cox regression analyses using a weighted approach were conducted to calculate average hazard ratios (AHRs) and 95 % confidence intervals (CIs) to quantify the risk of ovarian cancer death comparing each Asian ethnic subgroup to Non-Hispanic Whites. RESULTS: Hawaiian/Pacific Islanders were the only Asian subgroup to show lower five-year cause-specific survival than Non-Hispanic Whites (44.99 % versus 47.90 %, respectively); Asian Indian/Pakistanis showed the highest survival (56.12 %). After adjusting for sociodemographic, tumor, and treatment characteristics, Asian Indian/Pakistani ovarian cancer patients were 17 % less likely to die from their disease whereas Hawaiian/Pacific Islander patients were 28 % more likely to die when compared to Non-Hispanic Whites (AHR = 0.83, 95 % CI 0.75-0.92 and AHR = 1.28, 95 % CI 1.07-1.53, respectively). CONCLUSIONS: There are clear ethnic-specific survival disparities among Asian American ovarian cancer patients that are missed when the population is examined as a single group, further highlighting the need for data disaggregation in future ovarian cancer research.

Lifestyle and personal factors associated with having macroscopic residual disease after ovarian cancer primary cytoreductive surgery.

OBJECTIVE: The presence of macroscopic residual disease after primary cytoreductive surgery (PCS) is an important factor influencing survival for patients with high-grade serous ovarian cancer (HGSC). More research is needed to identify factors associated with having macroscopic residual disease. We analyzed 12 lifestyle and personal exposures known to be related to ovarian cancer risk or inflammation to identify those associated with having residual disease after surgery. METHODS: This analysis used data on 2054 patients with advanced stage HGSC from the Ovarian Cancer Association Consortium. The exposures were body mass index, breastfeeding, oral contraceptive use, depot-medroxyprogesterone acetate use, endometriosis, first-degree family history of ovarian cancer, incomplete pregnancy, menopausal hormone therapy use, menopausal status, parity, smoking, and tubal ligation. Logistic regression models were fit to assess the association between these exposures and having residual disease following PCS. RESULTS: Menopausal estrogen-only therapy (ET) use was associated with 33% lower odds of having macroscopic residual disease compared to never use (OR = 0.67, 95%CI 0.46-0.97, p = 0.033). Compared to nulliparous women, parous women who did not breastfeed had 36% lower odds of having residual disease (OR = 0.64, 95%CI 0.43-0.94, p = 0.022), while there was no association among parous women who breastfed (OR = 0.90, 95%CI 0.65-1.25, p = 0.53). CONCLUSIONS: The association between ET and having no macroscopic residual disease is plausible given a strong underlying biologic hypothesis between this exposure and diagnosis with HGSC. If this or the parity finding is replicated, these factors could be included in risk stratification models to determine whether HGSC patients should receive PCS or neoadjuvant chemotherapy.

Endometriosis and menopausal hormone therapy impact the hysterectomy-ovarian cancer association.

OBJECTIVE: To evaluate the association between hysterectomy and ovarian cancer, and to understand how hormone therapy (HT) use and endometriosis affect this association. METHODS: We conducted a pooled analysis of self-reported data from 11 case-control studies in the Ovarian Cancer Association Consortium (OCAC). Women with (n = 5350) and without ovarian cancer (n = 7544) who never used HT or exclusively used either estrogen-only therapy (ET) or estrogen+progestin therapy (EPT) were included. Risk of invasive epithelial ovarian cancer adjusted for duration of ET and EPT use and stratified on history of endometriosis was determined using odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS: Overall and among women without endometriosis, there was a positive association between ovarian cancer risk and hysterectomy (OR = 1.19, 95% CI 1.09-1.31 and OR = 1.20, 95% CI 1.09-1.32, respectively), but no association upon adjusting for duration of ET and EPT use (OR = 1.04, 95% CI 0.94-1.16 and OR = 1.06, 95% CI 0.95-1.18, respectively). Among women with a history of endometriosis, there was a slight inverse association between hysterectomy and ovarian cancer risk (OR = 0.93, 95% CI 0.69-1.26), but this association became stronger and statistically significant after adjusting for duration of ET and EPT use (OR = 0.69, 95% CI 0.48-0.99). CONCLUSIONS: The hysterectomy-ovarian cancer association is complex and cannot be understood without considering duration of ET and EPT use and history of endometriosis. Failure to take these exposures into account in prior studies casts doubt on their conclusions. Overall, hysterectomy is not risk-reducing for ovarian cancer, however the inverse association among women with endometriosis warrants further investigation.

Urinary Phytoestrogen Levels Are Associated with Female Hormonal Cancers: An Analysis of NHANES Data From 1999 to 2010.

Phytoestrogens are plant-derived compounds that are structurally similar to endogenous estrogens. Studies have shown phytoestrogens to have possible health benefits although they could also act as endocrine disruptors. This is particularly relevant for estrogen-dependent cancers since estrogens increase risk of breast, endometrial, and ovarian cancer. Using data from the National Health and Nutritional Examination Survey (NHANES), we assessed the associations between urinary phytoestrogens (daidzein, equol, o-Desmethylangolensin (O-DMA), genistein, enterodiol, enterolactone) and breast, endometrial, and ovarian cancer using multivariate logistic regression with odds ratios (ORs) and 95% confidence intervals (CIs). Cancer diagnosis and other characteristics were collected via in-person questionnaires. We found women in the highest tertile for daidzein and enterodiol had over twice the odds of having breast cancer (OR = 2.51, 95% CI 1.44-4.36 for daidzein, OR = 2.78, 95% CI 1.44-5.37 for enterodiol). In addition, women in the highest tertiles for daidzein and genistein had three to four times the odds of having endometrial cancer, respectively (OR = 3.09, 95% CI 1.01-9.49 for daidzein, OR = 4.00, 95% CI 1.38-11.59 for genistein). Overall, phytoestrogens were positively associated with breast and endometrial cancer although the associations varied by phytoestrogen type. Additional studies are needed to further inform phytoestrogens' role in disease etiology.Supplemental data for this article is available online at at https://doi.org/10.1080/01635581.2021.2020304.

Immigration history, lifestyle characteristics, and breast density in the Vietnamese American Women's Health Study: a cross-sectional analysis.

PURPOSE: Breast density is an important risk factor for breast cancer and varies substantially across racial-ethnic groups. However, determinants of breast density in Vietnamese immigrants in the United States (US) have not been studied. We investigated whether reproductive factors, immigration history, and other demographic and lifestyle factors were associated with breast density in Vietnamese Americans. METHODS: We collected information on demographics, immigration history, and other lifestyle factors and mammogram reports from a convenience sample of 380 Vietnamese American women in California aged 40 to 70 years. Breast Imaging Reporting and Data System (BI-RADS) breast density was abstracted from mammogram reports. Multivariable logistic regression was used to investigate the association between lifestyle factors and having dense breasts (BI-RADS 3 or 4). RESULTS: All participants were born in Viet Nam and 82% had lived in the US for 10 years or longer. Younger age, lower body mass index, nulliparity/lower number of deliveries, and longer US residence (or younger age at migration) were associated with having dense breasts. Compared to women who migrated at age 40 or later, the odds ratios and 95% confidence intervals for having dense breasts among women who migrated between the ages of 30 and 39 and before age 30 were 1.72 (0.96-3.07) and 2.48 (1.43-4.32), respectively. CONCLUSIONS: Longer US residence and younger age at migration were associated with greater breast density in Vietnamese American women. Identifying modifiable mediating factors to reduce lifestyle changes that adversely impact breast density in this traditionally low-risk population for breast cancer is warranted.

Estrogen Plus Progestin Hormone Therapy and Ovarian Cancer: A Complicated Relationship Explored.

BACKGROUND: Menopausal estrogen-alone therapy is a risk factor for endometrial and ovarian cancers. When a progestin is included with the estrogen daily (continuous estrogen-progestin combined therapy), there is no increased risk of endometrial cancer. However, the effect of continuous estrogen-progestin combined therapy on risk of ovarian cancer is less clear. METHODS: We pooled primary data from five population-based case-control studies in the Ovarian Cancer Association Consortium, including 1509 postmenopausal ovarian cancer cases and 2295 postmenopausal controls. Information on previous menopausal hormonal therapy use, as well as ovarian cancer risk factors, was collected using in-person interviews. Logistic regression was used to assess the association between use of continuous estrogen-progestin combined therapy and risk of ovarian cancer by duration and recency of use and disease histotype. RESULTS: Ever postmenopausal use of continuous estrogen-progestin combined therapy was not associated with increased risk of ovarian cancer overall (OR = 0.85, 95% CI = 0.72, 1.0). A decreased risk was observed for mucinous ovarian cancer (OR = 0.40, 95% CI = 0.18, 0.91). The other main ovarian cancer histotypes did not show an association (endometrioid: OR = 0.86, 95% CI = 0.57, 1.3, clear cell: OR = 0.68, 95% CI = 0.40, 1.2; serous: OR = 0.98, 95% CI = 0.80, 1.2). CONCLUSIONS: Given that estrogen-alone therapy has been shown to be associated with increased risk of ovarian cancer, these findings are consistent with the hypothesis that adding a progestin each day ameliorates the carcinogenic effects of estrogen on the cells of origin for all histotypes of ovarian cancer.

Menopausal hormone therapy prior to the diagnosis of ovarian cancer is associated with improved survival.

PURPOSE: Prior studies of menopausal hormone therapy (MHT) and ovarian cancer survival have been limited by lack of hormone regimen detail and insufficient sample sizes. To address these limitations, a comprehensive analysis of 6419 post-menopausal women with pathologically confirmed ovarian carcinoma was conducted to examine the association between MHT use prior to diagnosis and survival. METHODS: Data from 15 studies in the Ovarian Cancer Association Consortium were included. MHT use was examined by type (estrogen-only (ET) or estrogen+progestin (EPT)), duration, and recency of use relative to diagnosis. Cox proportional hazards models were used to estimate the association between hormone therapy use and survival. Logistic regression and mediation analysis was used to explore the relationship between MHT use and residual disease following debulking surgery. RESULTS: Use of ET or EPT for at least five years prior to diagnosis was associated with better ovarian cancer survival (hazard ratio, 0.80; 95% CI, 0.74 to 0.87). Among women with advanced stage, high-grade serous carcinoma, those who used MHT were less likely to have any macroscopic residual disease at the time of primary debulking surgery (p for trend <0.01 for duration of MHT use). Residual disease mediated some (17%) of the relationship between MHT and survival. CONCLUSIONS: Pre-diagnosis MHT use for 5+ years was a favorable prognostic factor for women with ovarian cancer. This large study is consistent with prior smaller studies, and further work is needed to understand the underlying mechanism.

A comprehensive gene-environment interaction analysis in Ovarian Cancer using genome-wide significant common variants.

As a follow-up to genome-wide association analysis of common variants associated with ovarian carcinoma (cancer), our study considers seven well-known ovarian cancer risk factors and their interactions with 28 genome-wide significant common genetic variants. The interaction analyses were based on data from 9971 ovarian cancer cases and 15,566 controls from 17 case-control studies. Likelihood ratio and Wald tests for multiplicative interaction and for relative excess risk due to additive interaction were used. The top multiplicative interaction was noted between oral contraceptive pill (OCP) use (ever vs. never) and rs13255292 (p value = 3.48 × 10-4 ). Among women with the TT genotype for this variant, the odds ratio for OCP use was 0.53 (95% CI = 0.46-0.60) compared to 0.71 (95%CI = 0.66-0.77) for women with the CC genotype. When stratified by duration of OCP use, women with 1-5 years of OCP use exhibited differential protective benefit across genotypes. However, no interaction on either the multiplicative or additive scale was found to be statistically significant after multiple testing correction. The results suggest that OCP use may offer increased benefit for women who are carriers of the T allele in rs13255292. On the other hand, for women carrying the C allele in this variant, longer (5+ years) use of OCP may reduce the impact of carrying the risk allele of this SNP. Replication of this finding is needed. The study presents a comprehensive analytic framework for conducting gene-environment analysis in ovarian cancer.

Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence.

There have been recent proposals advocating the use of additive gene-environment interaction instead of the widely used multiplicative scale, as a more relevant public health measure. Using gene-environment independence enhances statistical power for testing multiplicative interaction in case-control studies. However, under departure from this assumption, substantial bias in the estimates and inflated type I error in the corresponding tests can occur. In this paper, we extend the empirical Bayes (EB) approach previously developed for multiplicative interaction, which trades off between bias and efficiency in a data-adaptive way, to the additive scale. An EB estimator of the relative excess risk due to interaction is derived, and the corresponding Wald test is proposed with a general regression setting under a retrospective likelihood framework. We study the impact of gene-environment association on the resultant test with case-control data. Our simulation studies suggest that the EB approach uses the gene-environment independence assumption in a data-adaptive way and provides a gain in power compared with the standard logistic regression analysis and better control of type I error when compared with the analysis assuming gene-environment independence. We illustrate the methods with data from the Ovarian Cancer Association Consortium.

Timing of births and oral contraceptive use influences ovarian cancer risk.

Increasing parity and duration of combined oral contraceptive (COC) use provide substantial protection against ovarian carcinoma (cancer). There are limited data on the impact of the age of the births or age of COC use on reducing ovarian cancer risk. Here, we examined the effects of age at first and last births and age at use of COCs using data from studies conducted in Los Angeles County, California, USA (1,632 cases, 2,340 controls). After adjusting for the number of births, every 5 years that a first birth was delayed reduced the risk of ovarian cancer by 13% (95% CI 5-21%; p = 0.003); a first birth after age 35 was associated with a 47% lower risk than a first birth before age 25. COC use before age 35 was associated with greater protection per year of use than COC use at older ages. Considering previously published results as well as the results presented here, increasing parity and a later age at births are both important protective factors against ovarian cancer and the protection extends over 30 or more years from last birth. Current models of the etiology of ovarian cancer do not encompass an effect of late age at births. Our result of an attenuation of the protective effect with COC use after around age 35 needs further investigation as it has not been seen in all studies.

Cigarette smoking is associated with adverse survival among women with ovarian cancer: Results from a pooled analysis of 19 studies.

Cigarette smoking is associated with an increased risk of developing mucinous ovarian tumors but whether it is associated with ovarian cancer survival overall or for the different histotypes is unestablished. Furthermore, it is unknown whether the association between cigarette smoking and survival differs according to strata of ovarian cancer stage at diagnosis. In a large pooled analysis, we evaluated the association between various measures of cigarette smoking and survival among women with epithelial ovarian cancer. We obtained data from 19 case-control studies in the Ovarian Cancer Association Consortium (OCAC), including 9,114 women diagnosed with ovarian cancer. Cox regression models were used to estimate adjusted study-specific hazard ratios (HRs), which were combined into pooled hazard ratios (pHR) with corresponding 95% confidence intervals (CIs) under random effects models. Overall, 5,149 (57%) women died during a median follow-up period of 7.0 years. Among women diagnosed with ovarian cancer, both current (pHR = 1.17, 95% CI: 1.08-1.28) and former smokers (pHR = 1.10, 95% CI: 1.02-1.18) had worse survival compared with never smoking women. In histotype-stratified analyses, associations were observed for mucinous (current smoking: pHR = 1.91, 95% CI: 1.01-3.65) and serous histotypes (current smoking: pHR = 1.11, 95% CI: 1.00-1.23; former smoking: pHR = 1.12, 95% CI: 1.04-1.20). Further, our results suggested that current smoking has a greater impact on survival among women with localized than disseminated disease. The identification of cigarette smoking as a modifiable factor associated with survival has potential clinical importance as a focus area to improve ovarian cancer prognosis.

A splicing variant of TERT identified by GWAS interacts with menopausal estrogen therapy in risk of ovarian cancer.

Menopausal estrogen-alone therapy (ET) is a well-established risk factor for serous and endometrioid ovarian cancer. Genetics also plays a role in ovarian cancer, which is partly attributable to 18 confirmed ovarian cancer susceptibility loci identified by genome-wide association studies. The interplay among these loci, ET use and ovarian cancer risk has yet to be evaluated. We analyzed data from 1,414 serous cases, 337 endometrioid cases and 4,051 controls across 10 case-control studies participating in the Ovarian Cancer Association Consortium (OCAC). Conditional logistic regression was used to determine the association between the confirmed susceptibility variants and risk of serous and endometrioid ovarian cancer among ET users and non-users separately and to test for statistical interaction. A splicing variant in TERT, rs10069690, showed a statistically significant interaction with ET use for risk of serous ovarian cancer (pint = 0.013). ET users carrying the T allele had a 51% increased risk of disease (OR = 1.51, 95% CI 1.19-1.91), which was stronger for long-term ET users of 10+ years (OR = 1.85, 95% CI 1.28-2.66, pint = 0.034). Non-users showed essentially no association (OR = 1.08, 95% CI 0.96-1.21). Two additional genomic regions harboring rs7207826 (C allele) and rs56318008 (T allele) also had significant interactions with ET use for the endometrioid histotype (pint = 0.021 and pint = 0.037, respectively). Hence, three confirmed susceptibility variants were identified whose associations with ovarian cancer risk are modified by ET exposure; follow-up is warranted given that these interactions are not adjusted for multiple comparisons. These findings, if validated, may elucidate the mechanism of action of these loci.

Evaluating the ovarian cancer gonadotropin hypothesis: a candidate gene study.

OBJECTIVE: Ovarian cancer is a hormone-related disease with a strong genetic basis. However, none of its high-penetrance susceptibility genes and GWAS-identified variants to date are known to be involved in hormonal pathways. Given the hypothesized etiologic role of gonadotropins, an assessment of how variability in genes involved in the gonadotropin signaling pathway impacts disease risk is warranted. METHODS: Genetic data from 41 ovarian cancer study sites were pooled and unconditional logistic regression was used to evaluate whether any of the 2185 SNPs from 11 gonadotropin signaling pathway genes was associated with ovarian cancer risk. A burden test using the admixture likelihood (AML) method was also used to evaluate gene-level associations. RESULTS: We did not find any genome-wide significant associations between individual SNPs and ovarian cancer risk. However, there was some suggestion of gene-level associations for four gonadotropin signaling pathway genes: INHBB (p=0.045, mucinous), LHCGR (p=0.046, high-grade serous), GNRH (p=0.041, high-grade serous), and FSHB (p=0.036, overall invasive). There was also suggestive evidence for INHA (p=0.060, overall invasive). CONCLUSIONS: Ovarian cancer studies have limited sample numbers, thus fewer genome-wide susceptibility alleles, with only modest associations, have been identified relative to breast and prostate cancers. We have evaluated the majority of ovarian cancer studies with biological samples, to our knowledge, leaving no opportunity for replication. Using both our understanding of biology and powerful gene-level tests, we have identified four putative ovarian cancer loci near INHBB, LHCGR, GNRH, and FSHB that warrant a second look if larger sample sizes and denser genotype chips become available.

Characterization of Thyroid Cancer among Hispanics in California, USA, from 2010 to 2020.

BACKGROUND: Previous studies on Hispanic thyroid cancer cases show sex disparities and an increased prevalence of large tumor sizes and nodal involvement. Here, we characterized Hispanic thyroid cancer cases in California. METHODS: We identified thyroid cancer cases from 2010 to 2020 using the California Cancer Registry by sex, race/ethnicity, histology, TNM stage, tumor size, lymph node involvement, and Charlson comorbidity score. The age-adjusted incidence rate (AAIR) and age-adjusted mortality rate (AAMR) for all causes of death were calculated. A Cox proportional hazards regression analysis was performed to evaluate the mortality risk from all causes of death by race. RESULTS: Overall, 56,838 thyroid cancer cases were identified, including 29.75% in Hispanics. Hispanics had the highest female-to-male incidence rate ratio (IRR 3.54) and the highest prevalence of T3/T4 tumor size (28.71%), the highest N1 nodal status (32.69%), and the highest AAMR (0.79 per 100,000 people). After adjusting for demographic and tumor covariates, compared to non-Hispanic White people, Hispanic ethnicity, with an HR of 1.22 (95% CI 1.18-1.25, p < 0.0001), remained a significant independent contributor to mortality risk. CONCLUSIONS: Hispanics had the greatest female-to-male IRR ratio, a greater prevalence of advanced disease features at diagnosis, along with the highest AAMR and increased mortality risk despite adjustments for demographic and tumor covariates. Further investigation into other risk factors is needed.

Early onset of nasopharyngeal cancer in Asian/Pacific Islander Americans revealed by age-specific analysis.

PURPOSE: Incidence of nasopharyngeal cancer is substantially higher in Asian/Pacific Islanders (APIs) than other racial groups. Examining age-specific incidence patterns by racial group and histology could inform disease etiology. METHODS: We analyzed data from 2000 through 2019 from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) Program to compare age-specific incidence rates of nasopharyngeal cancer in non-Hispanic (NH) Blacks, NH APIs, and Hispanics to NH Whites using incidence rate ratios with 95% confidence intervals (CIs). RESULTS: NH APIs showed the highest incidence of nasopharyngeal cancer across all histologic subtypes and almost all age groups. The racial differences were most pronounced in the age 30-39 group; relative to NH Whites, NH APIs were 15.24 (95% CI: 11.69-20.05), 17.26 (95% CI: 12.56-24.07), and 8.91 (95% CI: 6.79-11.48) times as likely to have differentiated non-keratinizing, undifferentiated non-keratinizing, and keratinizing squamous cell tumors, respectively. CONCLUSIONS: These findings suggest an earlier onset of nasopharyngeal cancer among NH APIs, which highlight unique early life exposure to critical nasopharyngeal cancer risk factors as well as genetic predisposition in this high-risk population.

Severe maternal morbidity associated with endometriosis: a population-based, retrospective cohort study.

OBJECTIVE: To evaluate the association between endometriosis and the risk of severe maternal morbidity (SMM) as defined by the Centers for Disease Control and Prevention. DESIGN: This was a population-based, retrospective cohort study using the California Office of Statewide Health Planning and Development Linked Birth File with hospital discharge International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) diagnoses between 2007 and 2012. SETTING: Population-based. PATIENT(S): A total of 3,098,578 pregnancies from 2007 to 2012. INTERVENTION(S): Prior diagnosis of endometriosis identified using the ICD-9-CM codes 617.0-617.9. MAIN OUTCOME MEASURE(S): The primary outcome of interest was SMM, which was defined as having been diagnosed with any of the ICD-9-CM codes corresponding to 25 peripartum conditions listed by the Centers for Disease Control and Prevention. The secondary outcomes of interest were each individual condition. RESULT(S): Of the 3,098,578 pregnancies analyzed, 2,910 pregnancies were among women with a prior diagnosis of endometriosis. There were 45,655 pregnancies complicated by at least 1 SMM; 158 pregnancies (54.3 per 1,000 pregnancies) were in women with endometriosis and 45,497 (14.7 per 1,000 pregnancies) were in women without endometriosis. Women with pregnancies complicated by endometriosis were 2.41 times more likely to develop SMM than women who did not have endometriosis (adjusted odds ratio [aOR], 2.41; 95% confidence interval [CI], 2.03-2.87). There was an increased risk of disseminated intravascular coagulation (aOR, 2.46; 95% CI, 1.65-3.66), heart failure during a procedure or surgery (aOR, 2.58; 95% CI, 1.69-3.94), pulmonary edema (aOR, 3.02; 95% CI, 1.11-8.17), blood transfusion (aOR, 2.17; 95% CI, 1.75-2.68), and hysterectomy (aOR, 2.46; 95% CI, 1.58-3.85). When the association was stratified by delivery mode, the risk of SMM was higher for vaginal delivery (aOR, 4.59; 95% CI, 2.73-7.71) than for cesarean delivery (aOR, 1.64; 95% CI, 1.37-1.97) (P-interaction<.0001). CONCLUSION(S): This study demonstrated that endometriosis is a major risk factor for SMM, especially among those who deliver vaginally. Furthermore, precautions should be taken before delivery in anticipation of potential complications.

A comparative study on behavior, awareness and belief about cervical cancer among rural and urban women in Vietnam.

Cervical cancer is the second most common gynecologic cancer in Vietnam but based on the literature, only ~25% of Vietnamese women reported ever being screened for cervical cancer. To inform strategies to reduce the cervical cancer burden in Southern Vietnam where disease incidence is higher than the national average, this study examined behaviors, awareness, barriers, and beliefs about cervical cancer screening among rural and urban women in this geographical region. In October-November 2021, we conducted a cross-sectional study among 196 rural and 202 urban women in Southern Vietnam; participants completed a cervical cancer screening questionnaire. Descriptive analyses and rural-urban differences in screening behavior, awareness, barriers, and beliefs are presented. About half of the rural and urban participants reported ever being screened for cervical cancer. Most participants showed high perceived severity of cervical cancer and benefits of screening. Further, they reported that they would screen if it was recommended by doctors and/or friends/family. However, most women showed low awareness and perceived susceptibility to cervical cancer. Logistical and psychosocial barriers to physician-based screening methods were reported. Based on our results, the World Health Organization 2030 goals for cervical cancer screening are not currently met in Southern Vietnam. Increasing health literacy and engaging doctors and family members/social networks emerged as important avenues to improve screening. HPV (Human papillomavirus) self-sampling is also a potential approach to increase uptake of cervical cancer screening given the identified psychosocial and logistical barriers.

A framework for assessing interactions for risk stratification models: the example of ovarian cancer.

Generally, risk stratification models for cancer use effect estimates from risk/protective factor analyses that have not assessed potential interactions between these exposures. We have developed a 4-criterion framework for assessing interactions that includes statistical, qualitative, biological, and practical approaches. We present the application of this framework in an ovarian cancer setting because this is an important step in developing more accurate risk stratification models. Using data from 9 case-control studies in the Ovarian Cancer Association Consortium, we conducted a comprehensive analysis of interactions among 15 unequivocal risk and protective factors for ovarian cancer (including 14 non-genetic factors and a 36-variant polygenic score) with age and menopausal status. Pairwise interactions between the risk/protective factors were also assessed. We found that menopausal status modifies the association among endometriosis, first-degree family history of ovarian cancer, breastfeeding, and depot-medroxyprogesterone acetate use and disease risk, highlighting the importance of understanding multiplicative interactions when developing risk prediction models.