Division of Gynecologic Oncology

The Gynecologic Oncology Division at the University of Iowa consists of four attending physicians, three fellows-in-training, two physician assistants, three nurses and supporting research and clerical staff. The concentration of our division remains the care of women with gynecologic malignancies. Our service area includes all counties of Iowa as well as western Illinois. Our patients are seen and treated in the National Cancer Institute designated Holden Comprehensive Cancer Center on the University of Iowa Hospitals campus

Hormones and receptors in endometrial cancer

The uterine endometrium is exquisitely sensitive to hormones, in particular estrogen and progesterone and to a lesser extent androgens and glucocorticoids. These hormones tightly regulate the complex functioning of the female reproductive tract and are intimately involved in controlling the growth, development, and remodeling of reproductive tissues as well as the cyclic changes that occur during the menstrual cycle. Steroids function by binding to nuclear receptor proteins that act as transcription factors to modulate the expression of genes, though many non-genomic effects for steroids have also been described. An imbalance of the hormones leads to cancer. In particular, endometrial carcinogenesis is related to overexposure to estrogen that is not balanced by the differentiating effects of progesterone and potentially other steroid hormones, including androgens and glucocorticoids. This review summarizes steroid hormone action in the endometrium, describes the relative localization of hormone receptors in the normal endometrium and in endometrial cancer, and highlights key clinical trials that have attempted to restore the balance of hormones and thus prevent recurrence of endometrial cance

Bioenergetic Adaptations in Chemoresistant Ovarian Cancer Cells.

Earlier investigations have revealed that tumor cells undergo metabolic reprogramming and mainly derive their cellular energy from aerobic glycolysis rather than oxidative phosphorylation even in the presence of oxygen. However, recent studies have shown that certain cancer cells display increased oxidative phosphorylation or high metabolically active phenotype. Cellular bioenergetic profiling of 13 established and 12 patient derived ovarian cancer cell lines revealed significant bioenergetics diversity. The bioenergetics phenotype of ovarian cancer cell lines correlated with functional phenotypes of doubling time and oxidative stress. Interestingly, chemosensitive cancer cell lines (A2780 and PEO1) displayed a glycolytic phenotype while their chemoresistant counterparts (C200 and PEO4) exhibited a high metabolically active phenotype with the ability to switch between oxidative phosphorylation or glycolysis. The chemosensitive cancer cells could not survive glucose deprivation, while the chemoresistant cells displayed adaptability. In the patient derived ovarian cancer cells, a similar correlation was observed between a high metabolically active phenotype and chemoresistance. Thus, ovarian cancer cells seem to display heterogeneity in using glycolysis or oxidative phosphorylation as an energy source. The flexibility in using different energy pathways may indicate a survival adaptation to achieve a higher \u27cellular fitness\u27 that may be also associated with chemoresistance

The combination of Paclitaxel and Gefitinib inhibits endometrial cancer cells by inducing mitotic catastrophe: proof of principle for dual therapy in endometrial cancer

Serous uterine endometrial cancer is a lethal disease for which new therapeutic regimens are urgently needed. Combinations of chemotherapeutic agents and small molecule growth factor inhibitors have demonstrated activity in cancers from other sites. Our objective was to determine whether such a combination using Paclitaxel and Gefitinib could be active in serous endometrial cancer cells

Ovarian cancer modulates the immunosuppressive function of CD11b(+)Gr1(+) myeloid cells via glutamine metabolism

OBJECTIVE: Immature CD11b(+)Gr1(+) myeloid cells that acquire immunosuppressive capability, also known as myeloid-derived suppressor cells (MDSCs), are a heterogeneous population of cells that regulate immune responses. Our study\u27s objective was to elucidate the role of ovarian cancer microenvironment in regulating the immunosuppressive function of CD11b(+)Gr1(+) myeloid cells. METHODS: All studies were performed using the intraperitoneal ID8 syngeneic epithelial ovarian cancer mouse model. Myeloid cell depletion and immunotherapy were carried out using anti-Gr1 mAb, gemcitabine treatments, and/or anti PD1 mAb. The treatment effect was assessed by survival curve, in situ luciferase-guided imaging, and histopathologic evaluation. Adoptive transfer assays were carried out between congenic CD45.2 and CD45.1 mice. Immune surface and intracellular markers were assessed by flow cytometry. ELISA, western blot, and RT-PCR techniques were employed to assess protein and RNA expression of various markers. Bone marrow-derived myeloid cells were used for ex-vivo studies. RESULTS: Depletion of Gr1(+) immunosuppressive myeloid cells alone and in combination with anti-PD1 immunotherapy inhibited ovarian cancer growth. These findings, in addition to the adoptive transfer studies, validated the role of immunosuppressive CD11b(+)Gr1(+) myeloid cells in promoting ovarian cancer. Mechanistic investigations showed that ID8 tumor cells and their microenvironment produced both recruitment and regulatory factors for immunosuppressive CD11b(+)Gr1(+) myeloid cells. CD11b(+)Gr1(+) myeloid cells primed by ID8 tumors showed increased immunosuppressive marker expression and acquired an energetic metabolic phenotype promoted mainly by increased oxidative phosphorylation fueled by glutamine. Inhibiting the glutamine metabolic pathway reduced the increased oxidative phosphorylation and decreased immunosuppressive markers expression and function. Dihydrolipoamide succinyl transferase (DLST), a subunit of α-KGDC in the TCA cycle, was found be the most significantly elevated gene in tumor primed myeloid cells. Inhibition of DLST reduced oxidative phosphorylation, immunosuppressive marker expression, and function in myeloid cells. CONCLUSION: Our study shows that the ovarian cancer microenvironment can regulate the metabolism and function of immunosuppressive CD11b(+)Gr1(+) myeloid cells and modulate its immune microenvironment. Targeting glutamine metabolism via DLST in those immunosuppressive myeloid decreased their activity, leading to a reduction in the immunosuppressive tumor microenvironment. Thus, targeting glutamine metabolism has the potential to enhance the success of immunotherapy in ovarian cancer

EU-wide exposure data of 11 chemical substance groups from the HBM4EU Aligned Studies (2014–2021)

Funding Information: The authors would like to thank everybody who contributed to the HBM4EU Aligned Studies: the participating children, teenagers, adults and their families, the fieldworkers that collected the samples and database managers that made the information available to HBM4EU, the HBM4EU project partners, especially those from WP7 for developing all materials supporting the fieldwork, WP9 for organizing the QA/QC scheme under HBM4EU and all laboratories who performed the analytical measurements. We would like to acknowledge Sun Kyoung Jung from the National Institute of Environmental Research of South-Korea for providing the KoNEHS Cycle III results (crt adjusted). HBM4EU is co-financed under Horizon 2020 (grant agreement No 733032). The authors thank all principal investigators of the contributing studies for their participation and contribution to the HBM4EU Aligned Studies and the national program owners for their financial support. Further details on funding for all the participating studies can be found in the Supplemental Material, Table S12.As one of the core elements of the European Human Biomonitoring Initiative (HBM4EU) a human biomonitoring (HBM) survey was conducted in 23 countries to generate EU-wide comparable HBM data. This survey has built on existing HBM capacity in Europe by aligning national or regional HBM studies, referred to as the HBM4EU Aligned Studies. The HBM4EU Aligned Studies included a total of 10,795 participants of three age groups: (i) 3,576 children aged 6–12 years, (ii) 3,117 teenagers aged 12–18 years and (iii) 4,102 young adults aged 20–39 years. The participants were recruited between 2014 and 2021 in 11–12 countries per age group, geographically distributed across Europe. Depending on the age group, internal exposure to phthalates and the substitute DINCH, halogenated and organophosphorus flame retardants, per- and polyfluoroalkyl substances (PFASs), cadmium, bisphenols, polycyclic aromatic hydrocarbons (PAHs), arsenic species, acrylamide, mycotoxins (deoxynivalenol (total DON)), benzophenones and selected pesticides was assessed by measuring substance specific biomarkers subjected to stringent quality control programs for chemical analysis. For substance groups analyzed in different age groups higher average exposure levels were observed in the youngest age group, i.e., phthalates/DINCH in children versus teenagers, acrylamide and pesticides in children versus adults, benzophenones in teenagers versus adults. Many biomarkers in teenagers and adults varied significantly according to educational attainment, with higher exposure levels of bisphenols, phthalates, benzophenones, PAHs and acrylamide in participants (from households) with lower educational attainment, while teenagers from households with higher educational attainment have higher exposure levels for PFASs and arsenic. In children, a social gradient was only observed for the non-specific pyrethroid metabolite 3-PBA and di-isodecyl phthalate (DiDP), with higher levels in children from households with higher educational attainment. Geographical variations were seen for all exposure biomarkers. For 15 biomarkers, the available health-based HBM guidance values were exceeded with highest exceedance rates for toxicologically relevant arsenic in teenagers (40%), 3-PBA in children (36%), and between 11 and 14% for total DON, Σ (PFOA + PFNA + PFHxS + PFOS), bisphenol S and cadmium. The infrastructure and harmonized approach succeeded in obtaining comparable European wide internal exposure data for a prioritized set of 11 chemical groups. These data serve as a reference for comparison at the global level, provide a baseline to compare the efficacy of the European Commission's chemical strategy for sustainability and will give leverage to national policy makers for the implementation of targeted measures.publishersversionpublishe

Harmonized human biomonitoring in European children, teenagers and adults: EU-wide exposure data of 11 chemical substance groups from the HBM4EU Aligned Studies (2014–2021)

HBM4EU is co-financed under Horizon 2020 (grant agreement No 733032).As one of the core elements of the European Human Biomonitoring Initiative (HBM4EU) a human biomonitoring (HBM) survey was conducted in 23 countries to generate EU-wide comparable HBM data. This survey has built on existing HBM capacity in Europe by aligning national or regional HBM studies, referred to as the HBM4EU Aligned Studies. The HBM4EU Aligned Studies included a total of 10,795 participants from three age groups: (i) 3,576 children aged 6-12 years, (ii) 3,117 teenagers aged 12-18 years, and (iii) 4,102 young adults aged 20-39 years. The participants were recruited between 2014 and 2021 in 11-12 countries per age group, geographically distributed across Europe. Depending on the age group, internal exposure to phthalates and the substitute DINCH, halogenated and organophosphorus flame retardants, per- and polyfluoroalkyl substances (PFASs), cadmium, bisphenols, polycyclic aromatic hydrocarbons (PAHs), arsenic species, acrylamide, mycotoxins (deoxynivalenol (total DON)), benzophenones and selected pesticides was assessed by measuring substance specific biomarkers subjected to stringent quality control programs for chemical analysis. For substance groups analyzed in different age groups higher average exposure levels were observed in the youngest age group, i.e., phthalates/DINCH in children versus teenagers, acrylamide and pesticides in children versus adults, and benzophenones in teenagers versus adults. Many biomarkers in teenagers and adults varied significantly according to educational attainment, with higher exposure levels of bisphenols, phthalates, benzophenones, PAHs, and acrylamide in participants (from households) with lower educational attainment, while teenagers from households with higher educational attainment have higher exposure levels for PFASs and arsenic. In children, a social gradient was only observed for the non-specific pyrethroid metabolite 3-PBA and di-isodecyl phthalate (DiDP), with higher levels in children from households with higher educational attainment. Geographical variations were seen for all exposure biomarkers. For 15 biomarkers, the available health-based HBM guidance values were exceeded with the highest exceedance rates for toxicologically relevant arsenic in teenagers (40%), 3-PBA in children (36%), and between 11 and 14% for total DON, Σ (PFOA + PFNA + PFHxS + PFOS), bisphenol S and cadmium. The infrastructure and harmonized approach succeeded in obtaining comparable European-wide internal exposure data for a prioritized set of 11 chemical groups. These data serve as a reference for comparison at the global level, provide a baseline to compare the efficacy of the European Commission's chemical strategy for sustainability, and will give leverage to national policymakers for the implementation of targeted measures.info:eu-repo/semantics/publishedVersio

Harmonized human biomonitoring in European children, teenagers and adults : EU-wide exposure data of 11 chemical substance groups from the HBM4EU Aligned Studies (2014–2021)

Funding Information: The authors would like to thank everybody who contributed to the HBM4EU Aligned Studies: the participating children, teenagers, adults and their families, the fieldworkers that collected the samples and database managers that made the information available to HBM4EU, the HBM4EU project partners, especially those from WP7 for developing all materials supporting the fieldwork, WP9 for organizing the QA/QC scheme under HBM4EU and all laboratories who performed the analytical measurements. We would like to acknowledge Sun Kyoung Jung from the National Institute of Environmental Research of South-Korea for providing the KoNEHS Cycle III results (crt adjusted). HBM4EU is co-financed under Horizon 2020 (grant agreement No 733032). The authors thank all principal investigators of the contributing studies for their participation and contribution to the HBM4EU Aligned Studies and the national program owners for their financial support. Further details on funding for all the participating studies can be found in the Supplemental Material, Table S12. Funding Information: The authors would like to thank everybody who contributed to the HBM4EU Aligned Studies: the participating children, teenagers, adults and their families, the fieldworkers that collected the samples and database managers that made the information available to HBM4EU, the HBM4EU project partners, especially those from WP7 for developing all materials supporting the fieldwork, WP9 for organizing the QA/QC scheme under HBM4EU and all laboratories who performed the analytical measurements. We would like to acknowledge Sun Kyoung Jung from the National Institute of Environmental Research of South-Korea for providing the KoNEHS Cycle III results (crt adjusted). HBM4EU is co-financed under Horizon 2020 (grant agreement No 733032). The authors thank all principal investigators of the contributing studies for their participation and contribution to the HBM4EU Aligned Studies and the national program owners for their financial support. Further details on funding for all the participating studies can be found in the Supplemental Material, Table S12 . Publisher Copyright: © 2023 The AuthorsAs one of the core elements of the European Human Biomonitoring Initiative (HBM4EU) a human biomonitoring (HBM) survey was conducted in 23 countries to generate EU-wide comparable HBM data. This survey has built on existing HBM capacity in Europe by aligning national or regional HBM studies, referred to as the HBM4EU Aligned Studies. The HBM4EU Aligned Studies included a total of 10,795 participants of three age groups: (i) 3,576 children aged 6–12 years, (ii) 3,117 teenagers aged 12–18 years and (iii) 4,102 young adults aged 20–39 years. The participants were recruited between 2014 and 2021 in 11–12 countries per age group, geographically distributed across Europe. Depending on the age group, internal exposure to phthalates and the substitute DINCH, halogenated and organophosphorus flame retardants, per- and polyfluoroalkyl substances (PFASs), cadmium, bisphenols, polycyclic aromatic hydrocarbons (PAHs), arsenic species, acrylamide, mycotoxins (deoxynivalenol (total DON)), benzophenones and selected pesticides was assessed by measuring substance specific biomarkers subjected to stringent quality control programs for chemical analysis. For substance groups analyzed in different age groups higher average exposure levels were observed in the youngest age group, i.e., phthalates/DINCH in children versus teenagers, acrylamide and pesticides in children versus adults, benzophenones in teenagers versus adults. Many biomarkers in teenagers and adults varied significantly according to educational attainment, with higher exposure levels of bisphenols, phthalates, benzophenones, PAHs and acrylamide in participants (from households) with lower educational attainment, while teenagers from households with higher educational attainment have higher exposure levels for PFASs and arsenic. In children, a social gradient was only observed for the non-specific pyrethroid metabolite 3-PBA and di-isodecyl phthalate (DiDP), with higher levels in children from households with higher educational attainment. Geographical variations were seen for all exposure biomarkers. For 15 biomarkers, the available health-based HBM guidance values were exceeded with highest exceedance rates for toxicologically relevant arsenic in teenagers (40%), 3-PBA in children (36%), and between 11 and 14% for total DON, Σ (PFOA + PFNA + PFHxS + PFOS), bisphenol S and cadmium. The infrastructure and harmonized approach succeeded in obtaining comparable European wide internal exposure data for a prioritized set of 11 chemical groups. These data serve as a reference for comparison at the global level, provide a baseline to compare the efficacy of the European Commission's chemical strategy for sustainability and will give leverage to national policy makers for the implementation of targeted measures.Peer reviewe

Definitive radiation therapy for cervical cancer: Non-white race and public insurance are risk factors for delayed completion, a pilot study.

This is a pilot study to assess whether racial disparities exist in time to initiation and completion of external beam pelvic radiation therapy and brachytherapy in cervical cancers treated with definitive chemoradiation. A retrospective analysis was conducted on all cervical cancer patients treated with definitive radiotherapy between 2006 and 2016 at a single institution. Patient demographics including age, race, insurance status and stage at diagnosis were obtained. Analyses were performed according to the following definitions of wait times: interval from pathologic diagnosis of cervical cancer to (Siegel et al., 2016) initiation of radiation therapy, (Yoo et al., 2017) completion of external beam radiation therapy and (DeSantis et al., 2016) completion of external beam radiation therapy plus brachytherapy if indicated. Of 50 women, 21 self-identified as white, 25 as black and 4 as Hispanic. Due to small numbers, Hispanic women were included with black women as a non-white group. The average age was 52 years for women in this cohort. Mean days to initiation of radiation therapy were 41.8 days: 33.7 days among white patients versus 47.8 days for non-white patients (p-value 0.101). Mean days from diagnosis to completion of external beam pelvic radiation therapy were 81.3 days: 70.9 days among white patients versus 88.9 days among non-white patients (p-value 0.006). Non-white patients were more likely to have public insurance, which was also associated with a longer time to completion of radiation treatment. We conclude that non-white patients experienced delays to completing external beam radiation therapy, which was no longer present after adjusting for insurance status