The relationship between socioeconomic status and perinatal outcomes in in vitro fertilization conceptions.

BACKGROUND: In vitro fertilization is the most used assisted reproductive technology in the United States that is increasing in efficiency and in demand. Certain states have mandated coverage that enable individuals with low income to undergo in vitro fertilization treatment. OBJECTIVE: This study aimed to evaluate if socioeconomic status has an impact on the perinatal outcomes in in vitro fertilization pregnancies. We hypothesized that with greater coverage there may be an alleviation of the financial burden of in vitro fertilization that can facilitate the application of evidence-based practices. STUDY DESIGN: This was a retrospective, population-based, observational study that was conducted in accordance with the Healthcare Cost and Utilization Project-Nationwide Inpatient Sample database over the 6-year period from 2008 to 2014 during which period 10,000 in vitro fertilization deliveries were examined. Maternal outcomes of interest included preterm prelabor rupture of membranes, preterm birth (ie, before 37 weeks of gestation), placental abruption, cesarean delivery, operative vaginal delivery, spontaneous vaginal delivery, maternal infection, chorioamnionitis, hysterectomy, and postpartum hemorrhage. Neonatal outcomes included small for gestational age neonates, defined as birthweight <10th percentile, intrauterine fetal death, and congenital anomalies. RESULTS: Our study found that the socioeconomic status did not have a statistically relevant effect on the perinatal outcomes among women who underwent in vitro fertilization to conceive after adjusting for the potential confounding effects of maternal demographic, preexisting clinical characteristics, and comorbidities. CONCLUSION: The literature suggests that in states with mandated in vitro fertilization coverage, there are better perinatal outcomes because, in part, of the increased use of best in vitro fertilization practices, such as single-embryo transfers. Moreover, the quality of medical care in states with coverage is in the highest quartile in the country. Therefore, our findings of equivalent perinatal outcomes in in vitro fertilization care irrespective of socioeconomic status possibly suggests that a lack of access to quality medical care may be a factor in the health disparities usually seen among individuals with lower socioeconomic status.

Gene-Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk.

BACKGROUND: Despite well-established relationships between sun exposure and skin cancer pathogenesis/progression, specific gene-environment interactions in at-risk individuals remain poorly-understood. METHODS: We leveraged a UK Biobank cohort of basal cell carcinoma (BCC, n = 17,221), cutaneous squamous cell carcinoma (cSCC, n = 2,331), melanoma in situ (M-is, n = 1,158), invasive melanoma (M-inv, n = 3,798), and healthy controls (n = 448,164) to quantify the synergistic involvement of genetic and environmental factors influencing disease risk. We surveyed 8,798 SNPs from 190 DNA repair genes, and 11 demographic/behavioral risk factors. RESULTS: Clinical analysis identified darker skin (RR = 0.01-0.65) and hair (RR = 0.27-0.63) colors as protective factors. Eleven SNPs were significantly associated with BCC, three of which were also associated with M-inv. Gene-environment analysis yielded 201 SNP-environment interactions across 90 genes (FDR-adjusted q < 0.05). SNPs from the FANCA gene showed interactions with at least one clinical factor in all cancer groups, of which three (rs9926296, rs3743860, rs2376883) showed interaction with nearly every factor in BCC and M-inv. CONCLUSIONS: We identified novel risk factors for keratinocyte carcinomas and melanoma, highlighted the prognostic value of several FANCA alleles among individuals with a history of sunlamp use and childhood sunburns, and demonstrated the importance of combining genetic and clinical data in disease risk stratification. IMPACT: This study revealed genome-wide associations with important implications for understanding skin cancer risk in the context of the rapidly-evolving field of precision medicine. Major individual factors (including sex, hair and skin color, and sun protection use) were significant mediators for all skin cancers, interacting with >200 SNPs across four skin cancer types.

Comparison of the Basal Cell Carcinoma (BCC) Tumour Microenvironment to Other Solid Malignancies.

Basal cell carcinoma (BCC) is the most common form of skin cancer, contributing to nearly a third of new cancer cases in Western countries. Most BCCs are considered low risk "routine" lesions that can either be excised through surgery or treated with chemotherapeutic agents. However, around 1-2% of BCC cases are locally aggressive, present a high risk of metastasis, and often develop chemoresistance, termed advanced BCC. There currently exists no animal model or cell line that can recapitulate advanced BCC, let alone intermediate-risk and high-risk early BCC. We previously found that aggressive BCC tumours presented a Th2 cytokine inflammation profile, mesenchymal stem cell properties, and macrophage-induced tumoral inflammation. In this study, we aimed to identify potential BCC "relatives" among solid-organ malignancies who present similar immune cell proportions in their microenvironment compositions. Using immune cell type deconvolution by CIBERSORTx, and cell type enrichment by xCell, we determined three cancers with the most similar tumour microenvironments as compared to BCC. Specifically, chromophobe renal cell carcinoma, sarcoma, and skin cutaneous melanoma presented significance in multiple cell types, namely in CD4+ T lymphocytes, gammadelta T lymphocytes, and NK cell populations. Consequently, further literature analysis was conducted to understand similarities between BCC and its "relatives", as well as investigating novel treatment targets. By identifying cancers most like BCC, we hope to propose prospective druggable pathways, as well as to gain insight on developing a reliable animal or cell line model to represent advanced BCC.