Socially determined cervical cancer care navigation: An effective step toward health care equity and care optimization.

BACKGROUND: Despite being the standard of care for patients with locoregional cervical cancer, many patients do not complete all components of primary chemoradiotherapy (pCRT): external beam radiotherapy, chemosensitization, and brachytherapy. Incomplete or protracted pCRT is associated with worse survival. The authors implemented a socially determined cervical cancer care navigation program at a public safety-net hospital to improve treatment adherence. METHODS: Patients with International Federation of Gynecology and Obstetrics (FIGO) stage IB1 to IVA cervical cancer who underwent pCRT from 2012 to 2016 were prospectively enrolled into this navigation program spanning the medical, financial, and psychosocial aspects of care. This patient cohort was compared with a similar cohort of consecutive nonnavigated patients who were treated from 1998 to 2008. Patient characteristics, treatment data, and patient outcomes were collected. A database of navigation encounters was maintained prospectively. RESULTS: A total of 46 patients composed the navigated cohort and 85 patients composed the nonnavigated cohort. After implementation of the cervical cancer care navigation program, the percentage of patients receiving ≥5 cycles of weekly cisplatin increased from 74% to 93% (P < .01) and rates of the initiation of brachytherapy during external beam radiotherapy increased from 49% to 78% (P < .01). The median treatment time was reduced from 67 days in the nonnavigated patients to 55 days in the navigated patients (P < .01). Approximately 95% of navigated patients who completed pCRT did so within 63 days, compared with 52% of nonnavigated patients (P < .01). Treatment completion within 63 days was associated with significantly improved overall survival. CONCLUSIONS: Socially informed cervical cancer care navigation can significantly improve the timeliness of guideline-based care, enhance access to resources for underserved minority patients receiving pCRT, and may improve overall patient outcomes.

Apolipoprotein A-I (apoA-I) and apoA-I mimetic peptides inhibit tumor development in a mouse model of ovarian cancer.

We examined whether reduced levels of Apolipoprotein A-I (apoA-I) in ovarian cancer patients are causal in ovarian cancer in a mouse model. Mice expressing a human apoA-I transgene had (i) increased survival (P < 0.0001) and (ii) decreased tumor development (P < 0.01), when compared with littermates, following injection of mouse ovarian epithelial papillary serous adenocarcinoma cells (ID-8 cells). ApoA-I mimetic peptides reduced viability and proliferation of ID8 cells and cis-platinum-resistant human ovarian cancer cells, and decreased ID-8 cell-mediated tumor burden in C57BL/6J mice when administered subcutaneously or orally. Serum levels of lysophosphatidic acid, a well-characterized modulator of tumor cell proliferation, were significantly reduced (>50% compared with control mice, P < 0.05) in mice that received apoA-I mimetic peptides (administered either subcutaneously or orally), suggesting that binding and removal of lysophosphatidic acid is a potential mechanism for the inhibition of tumor development by apoA-I mimetic peptides, which may serve as a previously unexplored class of anticancer agents.

Identification of biomarkers for ovarian cancer using strong anion-exchange ProteinChips: potential use in diagnosis and prognosis.

One hundred eighty-four serum samples from patients with ovarian cancer (n = 109), patients with benign tumors (n = 19), and healthy donors (n = 56) were analyzed on strong anion-exchange surfaces using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry technology. Univariate and multivariate statistical analyses applied to protein-profiling data obtained from 140 training serum samples identified three biomarker protein panels. The first panel of five candidate protein biomarkers, termed the screening biomarker panel, effectively diagnosed benign and malignant ovarian neoplasia [95.7% sensitivity, 82.6% specificity, 89.2% accuracy, and receiver operating characteristic (ROC) area under the curve of 0.94]. The other two panels, consisting of five and four candidate protein biomarkers each, effectively distinguished between benign and malignant ovarian neoplasia and were therefore referred to as validation biomarker panel I (81.5% sensitivity, 94.9% specificity, 88.2% accuracy, and ROC = 0.94) and validation biomarker panel II (72.8% sensitivity, 94.9% specificity, 83.9% accuracy, and ROC = 0.90). The three ovarian cancer biomarker protein panels correctly diagnosed 41 of the 44 blinded test samples: 21 of 22 malignant ovarian neoplasias [10 of 11 early-stage ovarian cancer (I/II) and 11 of 11 advanced-stage ovarian cancer (III/IV)], 6 of 6 low malignant potential, 5 of the 6 benign tumors, and 9 of 10 normal patient samples. In conclusion, we have discovered three ovarian cancer biomarker protein panels that, when used together, effectively distinguished serum samples from healthy controls and patients with either benign or malignant ovarian neoplasia.