NNANaomi N. Adjei
Papers(2)
Long-Term Follow-up o…Cost of ovarian cance…
Collaborators(10)
Qian ZhangRichard K. YangShannon N. WestinAlexander J. LazarBarrett C. LawsonBhavana SinghBrenda MelendezBryan M. FellmanDiana L. UrbauerJennifer A. Wargo
Institutions(2)
The University Of Tex…Fudan University

Papers

Long-Term Follow-up of Levonorgestrel Intrauterine Device for Atypical Hyperplasia and Early Endometrial Cancer Reveals Relapse Characterized by Immune Exhaustion

Abstract Purpose: Nonsurgical treatment options are increasingly needed for endometrial atypical hyperplasia (AH) and endometrioid endometrial cancer (EEC). Despite promising initial response rates, prospective long-term data and determinants for relapse are limited. Materials and Methods: Follow-up data from patients in our prospective phase II trial of levonorgestrel intrauterine device (LIUD) for AH/G1EEC were collected from medical records. Spatial transcriptomics (Nanostring GeoMX digital spatial profiling) with in silico cell type deconvolution and pathway analyses were employed on longitudinal biopsy samples from five patients across pre-treatment, on-treatment, and relapse. Results: Of 43 participants exhibiting initial response to LIUD, 41 had follow-up data. Sixteen (39%) experienced relapse. Clinical factors associated with shorter response duration included younger age, initial diagnosis of G1EEC, lack of response at 6 months, premenopausal status, and Hispanic ethnicity (P < 0.05), but only 6-month response status remained a significant predictor in a multivariate model (P = 0.023). LIUD increased abundance of NK cells (ΔMCP-counter score = 46.13, FDR = 0.004) and cytotoxic lymphocytes (ΔMCP-counter score = 277.67, FDR = 0.004), as well as lymphocyte cytotoxicity markers PRF1 (log2FC = 1.62, FDR = 0.025) and GZMA (log2FC = 2.47, FDR = 0.008). NK cells were reduced at relapse (ΔMCP-counter score = −55.96, FDR = 0.02). Immune-related pathways (IFNα response and TGFβ signaling) were enriched at relapse (FDR < 0.05). IDO1 expression, reflecting immune exhaustion, was upregulated at relapse (FDR < 0.05). Conclusions: Upfront resistance and relapse after initial response to LIUD for AH/G1EEC impacts nearly half of patients, remaining a major hurdle for nonsurgical treatment of AH/G1EEC. Molecular studies evaluating longitudinal biopsies from a small cohort implicate immune mechanisms at relapse, including reversal of progestin-related immunomodulation and increased immune exhaustion. See related commentary by Johannet and Friedman, p. 5001

Cost of ovarian cancer by the phase of care in the United States

Ovarian cancer is associated with delayed diagnosis and poor survival; thus, interest is high in identifying predictive and prognostic biomarkers and novel therapeutic agents. Although the costs of ovarian cancer care are likely to increase as newer, more effective, but more expensive treatment regimens become available, information on the current costs of care for ovarian cancer-across the care continuum from diagnosis to the end of life-are lacking. This study aimed to estimate real-world mean and median costs of ovarian cancer care within the first 5 years after diagnosis by patients' phase of care, age, race/ethnicity, and geographic region. We performed a retrospective cohort study of ovarian cancer patients diagnosed between January 1, 2015 and December 31, 2020. We used claims data from Optum's deidentified Clinformatics Data Mart database, which includes inpatient, outpatient, and prescription claims for commercial insurance and Medicare beneficiaries nationwide. Cost of ovarian cancer care were calculated for the start of care (ie, the first 6 months), continuing care (ie, period between the initial and end-of-life care), and end-of-life care (ie, the last 6 months) phases and reported in 2021 U.S. dollar amounts. Ovarian cancer care costs were stratified by age, race/ethnicity, and geographic region. Due to the skewed nature of cost data, the mean cost data were log-transformed for modeling. Ordinary least-squares regression was conducted on the log costs, adjusting for patient categorical age, race/ethnicity, and geographic region. A total of 7913 patients were included in the analysis. The mean cost per year for ovarian cancer care was >$200,000 during the start of care, between $26,000 and $88,000 during the continuing care phase, and >$129,000 during the end-of-life care phase. There were statistically significant associations between age and costs during each phase of care. Compared to younger patients, older patients incurred higher costs during the continuing care phase and lower costs during the end-of-life care phase. Geographic differences in the costs of ovarian cancer care were also noted regardless of the phase of care. There were no associations between cost and race/ethnicity in our cohort. Ovarian cancer care costs are substantial and vary by the phase of care, age category, and geographic region. As more effective but expensive treatment options for ovarian cancer become available with potential survival benefit, sustainable interventions to reduce the cost of care for ovarian cancer will be needed throughout the cancer care continuum.

2Papers
16Collaborators