Grant Number:	4R00CA277580-03 Interpret this number
Primary Investigator:	Collin, Lindsay
Organization:	Emory University
Project Title:	Identifying Factors Associated with Ovarian Cancer Recurrence Using a Population-Based Approach
Fiscal Year:	2025

Ovarian cancer is the fifth leading cause of cancer related mortality in the United States. Despite advances in surgical approaches and treatment regimens, overall survival has improved only marginally over the past thirty years. Although nearly 80% of ovarian cancer patients will achieve complete clinical remission through surgery and systemic therapy at their initial diagnosis, more than 50% will experience a recurrence by five years after diagnosis. However, little is known about factors contributing to risk of ovarian cancer recurrence. Ovarian cancer is a heterogeneous disease with distinct histotypes that inform prognosis. High grade serous carcinoma is the most common histotype, comprising ~70% of all ovarian cancer diagnoses. Recently, three robust gene expression signatures have been developed that have the potential to inform patient prognosis and biomarker- driven therapeutic approaches. These tumor gene expression signatures include: a) the Milstein prognostic score that distinguishes individuals with high and low probability of survival; b) the PrOTYPE classifier, which categorizes four biologic subtypes; and c) the Oxford classifier, which identifies a poor prognosis epithelial-to- mesenchymal transition score. Each signature correlates to differential with survival, suggesting that the signatures may have clinical utility in informing patient prognosis; however, the scores have yet to be evaluated in a population-based setting. Thus, the overarching goal of this proposal is to understand patient demographic, clinicopathologic, and molecular features associated with patterns of ovarian cancer recurrence and mortality. To do this, I will leverage the robust resources through the Utah Population Database to achieve the following study aims: (1) Characterize patterns of ovarian recurrence and mortality by patient and clinicopathologic characteristics; and (2) Compare the performance of three prognostic tumor gene expression signatures with (a) mortality and (b) recurrence among high-grade serous ovarian cancer patients. The primary training experience will focus on three areas: first, to develop expertise in the development and validation of an algorithm to identify recurrence using multiple data streams; second, to develop expertise in transcriptomics and data analysis pipelines for gene expression profiling; and third, to foster professional and career development through leadership, scientific communication, and then transitioning to independence. The research and training will be supported by an interdisciplinary mentorship team led by Dr. Jennifer Doherty, and comprised of experts in ovarian cancer and genetic epidemiology, computational biology, and biostatistics. The results from these aims will expand our understanding of factors contributing to risk and timing of ovarian cancer recurrence and provide evidence on how gene expression signatures of high-grade serous ovarian cancer can be incorporated into clinical risk assessment. Cumulatively, information gleaned from this work could lead to a personalized approach to ovarian cancer disease management through inclusion of prognostic markers in clinical care and the development of biomarker-driven therapies.




Parameterization of Beta Distributions for Bias Parameters of Binary Exposure Misclassification in Probabilistic Bias Analysis.
Authors: Zhang Q. , MacLehose R.F. , Collin L.J. , Ahern T.P. , Lash T.L. .
Source: Epidemiology (cambridge, Mass.), 2025-03-01 00:00:00.0; 36(2), p. 237-244.
EPub date: 2024-11-26 00:00:00.0.
PMID: 39588976
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CYP2D6 Phenotype and Breast Cancer Outcomes: A Bias Analysis and Meta-Analysis.
Authors: MacLehose R.F. , Ahern T.P. , Collin L.J. , Li A. , Lash T.L. .
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2025-02-06 00:00:00.0; 34(2), p. 224-233.
PMID: 39540781
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Homologous recombination deficiency in ovarian high-grade serous carcinoma by self-reported race.
Authors: Lawson-Michod K.A. , Johnson C.E. , Barnard M.E. , Davidson N. , Collin L.J. , Nix D.A. , Huff C. , Berchuck A. , Salas L.A. , Greene C. , et al. .
Source: Medrxiv : The Preprint Server For Health Sciences, 2025-01-28 00:00:00.0; , .
EPub date: 2025-01-28 00:00:00.0.
PMID: 39974072
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Comorbid conditions and survival among Black women with ovarian cancer.
Authors: Richards A.R. , Johnson C.E. , Montalvo N.R. , Alberg A.J. , Bandera E.V. , Bondy M. , Collin L.J. , Cote M.L. , Hastert T.A. , Haller K. , et al. .
Source: Cancer, 2025-01-01 00:00:00.0; 131(1), p. e35694.
PMID: 39748467
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Sociodemographic and Socioeconomic Factors Correlate with Late-Stage Pediatric Hodgkin Lymphoma and Rhabdomyosarcoma: A Report from the Children's Oncology Group Registries.
Authors: Ou J.Y. , Kaddas H.K. , Alonzo T.A. , Spector L.G. , Fallahazad N. , Owens E. , Collin L.J. , Green A.L. , Kirchhoff A.C. .
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2024-10-02 00:00:00.0; 33(10), p. 1327-1338.
PMID: 39083086
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Tattoos and Risk of Hematologic Cancer: A Population-Based Case-Control Study in Utah.
Authors: McCarty R.D. , Trabert B. , Kriebel D. , Millar M.M. , Birmann B.M. , Grieshober L. , Barnard M.E. , Collin L.J. , Lawson-Michod K.A. , Gibson B. , et al. .
Source: Cancer Medicine, 2024 Oct; 13(20), p. e70260.
PMID: 39444249
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The Population-level Effect of Adjuvant Therapies on Breast Cancer Recurrence: Application of the Trend-in-Trend Design.
Authors: Collin L.J. , Waller L.A. , Cronin-Fenton D.P. , Ahern T.P. , Goodman M. , McCullough L.E. , Kjærsgaard A. , Woolpert K.M. , Silliman R.A. , Christiansen P.M. , et al. .
Source: Epidemiology (cambridge, Mass.), 2024-09-01 00:00:00.0; 35(5), p. 660-666.
EPub date: 2024-08-06 00:00:00.0.
PMID: 39109817
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Associations of demographic, health, and risk-taking behaviors with tattooing in a population-based cross-sectional study of ~18,000 US adults.
Authors: McCarty R.D. , Trabert B. , Millar M.M. , Kriebel D. , Grieshober L. , Barnard M.E. , Collin L.J. , Lawson-Michod K.A. , Gibson B. , Gilreath J.A. , et al. .
Source: Research Square, 2024-08-28 00:00:00.0; , .
EPub date: 2024-08-28 00:00:00.0.
PMID: 39257981
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Racial disparities in initiation of chemotherapy among breast cancer patients with discretionary treatment indication in the state of Georgia.
Authors: Collin L.J. , Jones J. , Nash R. , Switchenko J.M. , Ward K.C. , McCullough L.E. .
Source: Breast Cancer Research And Treatment, 2024 Jun; 205(3), p. 609-618.
EPub date: 2024-03-22 00:00:00.0.
PMID: 38517602
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Clinical factors associated with patterns of endocrine therapy adherence in premenopausal breast cancer patients.
Authors: Woolpert K.M. , Schmidt J.A. , Ahern T.P. , Hjorth C.F. , Farkas D.K. , Ejlertsen B. , Collin L.J. , Lash T.L. , Cronin-Fenton D.P. .
Source: Breast Cancer Research : Bcr, 2024-04-08 00:00:00.0; 26(1), p. 59.
EPub date: 2024-04-08 00:00:00.0.
PMID: 38589932
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Association of inflammation-related exposures and ovarian cancer survival in a multi-site cohort study of Black women.
Authors: Johnson C.E. , Alberg A.J. , Bandera E.V. , Peres L.C. , Akonde M. , Collin L.J. , Cote M.L. , Hastert T.A. , Hébert J.R. , Peters E.S. , et al. .
Source: British Journal Of Cancer, 2023-08-03 00:00:00.0; , .
EPub date: 2023-08-03 00:00:00.0.
PMID: 37537254
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Associations between health insurance status, neighborhood deprivation, and treatment delays in women with breast cancer living in Georgia.
Authors: Awan S. , Saini G. , Gogineni K. , Luningham J.M. , Collin L.J. , Bhattarai S. , Aneja R. , Williams C.P. .
Source: Cancer Medicine, 2023 Aug; 12(16), p. 17331-17339.
EPub date: 2023-07-12 00:00:00.0.
PMID: 37439033
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Disparities in ovarian cancer survival: does place matter?
Authors: Gomez S.L. , Mcguire V. , Collin L.J. , Dempsey L. , Inamdar P. , Lawson-Michod K. , Peters E.S. , Kushi L. , Shariff-Marco S. , Peres L. , et al. .
Source: American Journal Of Obstetrics And Gynecology, 2023-04-26 00:00:00.0; , .
EPub date: 2023-04-26 00:00:00.0.
PMID: 37116824
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Understanding gastrointestinal cancer mortality disparities in a racially and geographically diverse population.
Authors: Nash R. , Russell M.C. , Miller-Kleinhenz J.M. , Collin L.J. , Ross-Driscoll K. , Switchenko J.M. , McCullough L.E. .
Source: Cancer Epidemiology, 2022 Apr; 77, p. 102110.
EPub date: 2022-02-07 00:00:00.0.
PMID: 35144126
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