Publications by authors named "kathleen M Darcy"

Endometrial cancer is the most prevalent gynecologic cancer in the United States and has rising incidence and mortality. Endometrial intraepithelial neoplasia or atypical endometrial hyperplasia (EIN-AEH), a precancerous neoplasm, is surgically managed with hysterectomy in patients who have completed childbearing because of risk of progression to cancer. Concurrent endometrial carcinoma (EC) is also present on hysterectomy specimens in up to 50% of cases.

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Human papillomavirus (HPV) is the most common sexually transmitted infection in the United States and is associated with the development of genital warts, precancerous lesions, and cancers of the oropharynx, anus, penis, vulva, vagina, and cervix. HPV-associated diseases are preventable through vaccination. An Australian nationwide vaccination program will effectively eliminate cervical cancer as a public health concern by the year 2035.

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Background: Black women are at an increased risk of developing uterine leiomyomas and experiencing worse disease prognosis than White women. Epidemiologic and molecular factors have been identified as underlying these disparities, but there remains a paucity of deep, multiomic analysis investigating molecular differences in uterine leiomyomas from Black and White patients.

Objective: To identify molecular alterations within uterine leiomyoma tissues correlating with patient race by multiomic analyses of uterine leiomyomas collected from cohorts of Black and White women.

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Objective: Investigate racial disparities in outcomes and molecular features in Black and White patients with endometrioid endometrial carcinoma (EEC).

Methods: Black and White patients diagnosed with EEC who underwent hysterectomy ± adjuvant treatment in SEER, National Cancer Database (NCDB), the Genomics Evidence Neoplasia Information Exchange (GENIE) project (v.13.

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We performed a deep proteogenomic analysis of bulk tumor and laser microdissection enriched tumor cell populations from high-grade serous ovarian cancer (HGSOC) tissue specimens spanning a broad spectrum of purity. We identified patients with longer progression-free survival had increased immune-related signatures and validated proteins correlating with tumor-infiltrating lymphocytes in 65 tumors from an independent cohort of HGSOC patients, as well as with overall survival in an additional 126 HGSOC patient cohort. We identified that homologous recombination deficient (HRD) tumors are enriched in pathways associated with metabolism and oxidative phosphorylation that we validated in independent patient cohorts.

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Purpose: To investigate IMT use and survival in real-world stage IVB cervical cancer patients outside randomized clinical trials.

Methods: Patients diagnosed with stage IVB cervical cancer during 2013-2019 in the National Cancer Database and treated with chemotherapy (CT) ± external beam radiation (EBRT) ± intracavitary brachytherapy (ICBT) ± IMT were studied. The adjusted hazard ratio (AHR) and 95% confidence interval (CI) for risk of death were estimated in patients treated with vs.

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Numerous multi-omic investigations of cancer tissue have documented varying and poor pairwise transcript:protein quantitative correlations, and most deconvolution tools aiming to predict cell type proportions (cell admixture) have been developed and credentialed using transcript-level data alone. To estimate cell admixture using protein abundance data, we analyzed proteome and transcriptome data generated from contrived admixtures of tumor, stroma, and immune cell models or those selectively harvested from the tissue microenvironment by laser microdissection from high grade serous ovarian cancer (HGSOC) tumors. Co-quantified transcripts and proteins performed similarly to estimate stroma and immune cell admixture (r ≥ 0.

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Purpose: We investigated racial disparities in survival by histology in cervical cancer and examined the factors contributing to these disparities.

Methods: Non-Hispanic Black and non-Hispanic White (hereafter known as Black and White) patients with stage I-IV cervical carcinoma diagnosed between 2004 and 2017 in the National Cancer Database were studied. Survival differences were compared using Cox modeling to estimate hazard ratio (HR) or adjusted HR (AHR) and 95% confidence interval (CI).

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Objective: This study investigated the risk of an aggressive endometrial cancer (EC) diagnosis by race, ethnicity, and country of origin to further elucidate histologic disparities in non-Hispanic Black (NHB), Hispanic, Asian/Pacific Islander (API), American Indian/Alaskan Native (AIAN) vs. non-Hispanic White (NHW) patients, particularly in Hispanic or API subgroups.

Methods: Patient diagnosed between 2004 and 2020 with low grade (LG)-endometrioid endometrial cancer (ECC) or an aggressive EC including grade 3 EEC, serous carcinoma, clear cell carcinoma, mixed epithelial carcinoma, or carcinosarcoma in the National Cancer Database were studied.

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Article Synopsis
  • Uterine serous carcinoma (USC) is a rare but aggressive type of uterine cancer that shows high resistance to chemotherapy and recurrence, leading to significant mortality rates.
  • This study aimed to explore the complex tumor microenvironment of USC through advanced techniques like multi-region microsampling and quantitative proteomics from tumor samples of nine patients.
  • Results revealed significant heterogeneity within the tumors, showing that different cell populations vary considerably, highlighting the importance of analyzing specific cellular subgroups instead of just bulk tumor tissue for better understanding of disease mechanics.
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Article Synopsis
  • The study aimed to evaluate the effectiveness of a deep learning model for automatically segmenting pelvic/ovarian and omental lesions in high-grade serous ovarian cancer on CT scans.
  • Using 451 CT scans for training, evaluation, and testing, the model was compared against existing methods and trainee radiologist segmentations.
  • Results indicated that the deep learning model significantly outperformed the standard method for pelvic/ovarian lesions and performed comparably to a trainee radiologist, suggesting that automated segmentation is a viable tool in clinical settings.
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In this study, we investigated the metabolic alterations associated with clinical response to chemotherapy in patients with ovarian cancer. Pre- and post-neoadjuvant chemotherapy (NACT) tissues from patients with high-grade serous ovarian cancer (HGSC) who had poor response (PR) or excellent response (ER) to NACT were examined. Desorption electrospray ionization mass spectrometry (DESI-MS) was performed on sections of HGSC tissues collected according to a rigorous laparoscopic triage algorithm.

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Article Synopsis
  • The study analyzed uterine cancer mortality trends in the U.S. from 1969 to 2018, focusing on age and race/ethnicity factors.
  • Uterine cancer deaths initially decreased until 1997 but saw a rise from 1997 to 2018, impacting all age groups—particularly older individuals and non-Hispanic Black women, who faced significantly higher mortality rates.
  • In recent years, the most alarming increases in mortality rates were among young non-Hispanic Black and Hispanic women, suggesting urgent attention is needed for these demographic groups.
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Objective: ATR kinase inhibitors promote cell killing by inducing replication stress and through potentiation of genotoxic agents in gynecologic cancer cells. To explore mechanisms of acquired resistance to ATRi in ovarian cancer, we characterized ATRi-resistant ovarian cancer cells generated by metronomic dosing with the clinical ATR inhibitor AZD6738.

Methods: ATRi-resistant ovarian cancer cells (OVCAR3 and OV90) were generated by dosing with AZD6738 and assessed for sensitivity to Chk1i (LY2603618), PARPi (Olaparib) and combination with cisplatin or a CDK4/6 inhibitor (Palbociclib).

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Importance: Disparities in survival exist between non-Hispanic Black (hereafter, Black) and non-Hispanic White (hereafter, White) patients with uterine cancer.

Objective: To investigate factors associated with racial disparities in survival between Black and White patients with uterine cancer.

Design, Setting, And Patients: This cohort study used data from the National Cancer Database on 274 838 Black and White patients who received a diagnosis of uterine cancer from January 1, 2004, to December 31, 2017, with follow-up through December 2020.

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Background: Cyclin E1 (CCNE1) is a potential predictive marker and therapeutic target in tubo-ovarian high-grade serous carcinoma (HGSC). Smaller studies have revealed unfavorable associations for CCNE1 amplification and CCNE1 overexpression with survival, but to date no large-scale, histotype-specific validation has been performed. The hypothesis was that high-level amplification of CCNE1 and CCNE1 overexpression, as well as a combination of the two, are linked to shorter overall survival in HGSC.

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Background: Optimal cytoreduction to no residual disease (R0) correlates with improved disease outcome for high-grade serous ovarian cancer (HGSOC) patients. Treatment of HGSOC patients with neoadjuvant chemotherapy, however, may select for tumor cells harboring alterations in hallmark cancer pathways including metastatic potential. This study assessed this hypothesis by performing proteomic analysis of matched, chemotherapy naïve and neoadjuvant chemotherapy (NACT)-treated HGSOC tumors obtained from patients who had suboptimal (R1, n = 6) versus optimal (R0, n = 14) debulking at interval debulking surgery (IDS).

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A risk assessment model for metastasis in endometrioid endometrial cancer (EEC) was developed using molecular and clinical features, and prognostic association was examined. Patients had stage I, IIIC, or IV EEC with tumor-derived RNA-sequencing or microarray-based data. Metastasis-associated transcripts and platform-centric diagnostic algorithms were selected and evaluated using regression modeling and receiver operating characteristic curves.

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Objectives: Develop conditional survival and risk-assessment estimates for uterine serous carcinoma (USC) overall and stratified by stage as tools for annual survivorship counseling and care planning.

Methods: Patients in the National Cancer Data Base diagnosed between 2004 and 2014 with stage I-IV USC were eligible. Individuals missing stage or survival data or with multiple malignancies were excluded.

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•The incidence of uterine carcinosarcoma increased over the past 17 years.•Black women in the South ages 70-74 had the highest incidence.•Uterine carcinosarcoma increased annually by 2.

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Characterization of ancestry-linked peptide variants in disease-relevant patient tissues represents a foundational step to connect patient ancestry with disease pathogenesis. Nonsynonymous single-nucleotide polymorphisms encoding missense substitutions within tryptic peptides exhibiting high allele frequencies in European, African, and East Asian populations, termed peptide ancestry informative markers (pAIMs), were prioritized from 1000 genomes. analysis identified that as few as 20 pAIMs can determine ancestry proportions similarly to >260K SNPs (R = 0.

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Objectives: Evaluate association between obesity and angiogenic-related gene expression in endometrial cancer (EC). Evaluate interaction between diet and metformin on angiogenic-related gene expression.

Methods: We evaluated the association between 168 human angiogenic-related genes and body mass index (BMI) in the TCGA Uterine Corpus Endometrial Carcinoma cohort (endometrioid endometrial cancer (EEC) cohort n = 290, and copy number high cohort n = 55), an independent validation cohort from Gynecologic Cancer Center of Excellence (GYN-COE) (n = 62) and corresponding 185 homologous mouse genes in an LKB1p53 mouse model of EC (n = 20).

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Objective: The mortality rate for Black women with endometrial cancer (EC) is double that of White women, although the incidence rate is lower among Black women. Unequal access to care may contribute to this racial disparity. This study aimed to assess whether survival varied between non-Hispanic Black (NHB) and non-Hispanic White (NHW) women with EC in the Military Health System (MHS) which provides equal access care to its beneficiaries despite racial/ethnic background.

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Enriched tumor epithelium, tumor-associated stroma, and whole tissue were collected by laser microdissection from thin sections across spatially separated levels of ten high-grade serous ovarian carcinomas (HGSOCs) and analyzed by mass spectrometry, reverse phase protein arrays, and RNA sequencing. Unsupervised analyses of protein abundance data revealed independent clustering of an enriched stroma and enriched tumor epithelium, with whole tumor tissue clustering driven by overall tumor "purity." Comparing these data to previously defined prognostic HGSOC molecular subtypes revealed protein and transcript expression from tumor epithelium correlated with the differentiated subtype, whereas stromal proteins (and transcripts) correlated with the mesenchymal subtype.

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