Racial disparities in non-recommendation of adjuvant chemotherapy in stage II-III ovarian cancer.

OBJECTIVES: To identify patient factors associated with not receiving a recommendation for adjuvant chemotherapy after primary surgery for ovarian cancer. METHODS: This retrospective cohort study used the National Cancer Database (NCDB) data from 2004 to 2015 to identify patients with stage II-III ovarian cancer who underwent primary surgery. Multivariate logistic regression analyses evaluated factors associated with notation in the NCDB that "chemotherapy was not recommended/administered because it was contraindicated due to patient risk factors (i.e., comorbid conditions, advanced age)." Survival data were assessed via Kaplan-Meier analyses. RESULTS: Of the 48,245 patients who met the inclusion criteria, 522 (1.08%) did not receive adjuvant chemotherapy because it was determined to be contraindicated. In multivariate analyses, independent predictors for not receiving a recommendation for adjuvant chemotherapy were age ≥ 70 years old (adjusted odds ratio, aOR = 2.43, p < 0.0001), non-zero Charlson-Deyo comorbidity scores (score 1, aOR = 1.41, p = 0.002; score ≥ 2, aOR = 2.57, p < 0.0001), and Black race (aOR = 2.12, p < 0.0001). For Black patients, recommendation against adjuvant chemotherapy occurred at a younger median age (64.5 years vs. 72 years) and was associated with lower 5-year survival (25.9% vs. 40.3%, p < 0.0001). CONCLUSIONS: Patients with ovarian cancer who underwent surgery but did not receive chemotherapy "because it was contraindicated due to patient risk factors" were older and had higher comorbidity scores. Even after controlling for these differences, Black patients were disproportionately not recommended for chemotherapy, which was associated with worse survival. Determining eligibility for adjuvant chemotherapy requires an individualized approach, and the possible influence of racial bias on risk estimation should be further investigated.

Voltage-Gated Sodium Channels as Potential Biomarkers and Therapeutic Targets for Epithelial Ovarian Cancer.

Abnormal ion channel expression distinguishes several types of carcinoma. Here, we explore the relationship between voltage-gated sodium channels (VGSC) and epithelial ovarian cancer (EOC). We find that EOC cell lines express most VGSC, but at lower levels than fallopian tube secretory epithelial cells (the cells of origin for most EOC) or control fibroblasts. Among patient tumor samples, lower SCN8A expression was associated with improved overall survival (OS) (median 111 vs. 52 months; HR 2.04 95% CI: 1.21-3.44; p = 0.007), while lower SCN1B expression was associated with poorer OS (median 45 vs. 56 months; HR 0.69 95% CI 0.54-0.87; p = 0.002). VGSC blockade using either anti-epileptic drugs or local anesthetics (LA) decreased the proliferation of cancer cells. LA increased cell line sensitivity to platinum and taxane chemotherapies. While lidocaine had similar additive effects with chemotherapy among EOC cells and fibroblasts, bupivacaine showed a more pronounced impact on EOC than fibroblasts when combined with either carboplatin (ΔAUC -37% vs. -16%, p = 0.003) or paclitaxel (ΔAUC -37% vs. -22%, p = 0.02). Together, these data suggest VGSC are prognostic biomarkers in EOC and may inform new targets for therapy.

Liquid biopsy of HPV DNA in cervical cancer.

BACKGROUND: A blood test to serve as a tumor marker for cervical cancer would be useful to clinicians to guide treatment and provide an early signal for recurrence. The development of droplet digital PCR has enabled the detection of HPV DNA in patient serum, providing a potential marker for cervical cancer. OBJECTIVES: To report on a blood-based test for HPV-specific E7 and L1 genes, which may serve as a tumor marker to guide treatment and detect early recurrence in cervical cancer. STUDY DESIGN: Pre-treatment plasma samples were investigated from 138 Hong Kong Chinese women with primary invasive squamous cell carcinoma and adenocarcinoma of the cervix with tumor samples expressing HPV16 or HPV18. Two genes specific to the human papillomavirus, E7 and L1, were measured in cell free DNA (cfDNA) extracted from plasma using droplet digital PCR. Analysis of detectable E7 and L1 levels was performed to investigate the potential of liquid biopsy of E7 and L1 as a clinically useful molecular biomarker. RESULTS: The majority of patients had HPV16 (71.7%), squamous cell carcinoma (78.3%) and stage IB-II disease (82.6%). HPV E7 and L1 sequences were detected in plasma cfDNA from 61.6% (85/138) of patients. Patients with high viral load (defined as ≥20 E7 or L1 copies per 20 µL reaction volume) had increased risk of recurrence and death at 5 years on univariate analysis but not multivariate analysis. CONCLUSIONS: HPV DNA can be quantitatively detected with the use of cfDNA. This has the potential to provide a clinically useful tumor marker for patients with cervical cancer that can aid in post-treatment surveillance and estimating the risk of disease relapse.

Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer.

Recent studies posit a role for non-coding RNAs in epithelial ovarian cancer (EOC). Combining small RNA sequencing from 179 human serum samples with a neural network analysis produced a miRNA algorithm for diagnosis of EOC (AUC 0.90; 95% CI: 0.81-0.99). The model significantly outperformed CA125 and functioned well regardless of patient age, histology, or stage. Among 454 patients with various diagnoses, the miRNA neural network had 100% specificity for ovarian cancer. After using 325 samples to adapt the neural network to qPCR measurements, the model was validated using 51 independent clinical samples, with a positive predictive value of 91.3% (95% CI: 73.3-97.6%) and negative predictive value of 78.6% (95% CI: 64.2-88.2%). Finally, biologic relevance was tested using in situ hybridization on 30 pre-metastatic lesions, showing intratumoral concentration of relevant miRNAs. These data suggest circulating miRNAs have potential to develop a non-invasive diagnostic test for ovarian cancer.

Liquid biopsy of PIK3CA mutations in cervical cancer in Hong Kong Chinese women.

INTRODUCTION: Cervical cancer is the fourth most common female cancer worldwide. The prognosis for women with advanced-stage or recurrent cervical cancer remains poor and response to treatment is variable. Standardized management protocols leave little room for individualization. We report on a novel blood-based liquid biopsy for specific PIK3CA mutations as a clinically useful biomarker in patients with invasive cervical cancer. METHODS: One hundred seventeen Hong Kong Chinese women with primary invasive cervical cancer and their pre-treatment plasma samples were investigated. Two PIK3CA mutations, p.E542K and p.E545K were measured in cell free DNA (cfDNA) extracted from plasma using droplet digital PCR. This liquid biopsy of PIK3CA in cervical cancer was correlated to clinico-pathological features to verify the potential of PIK3CA as a clinically useful molecular biomarker for predicting disease prognosis and monitoring for progression. RESULTS: PIK3CA mutations, either p.E542K or p.E545K, were detected in plasma cfDNA from 22.2% of the patients. PIK3CA mutation status was significantly correlated to median tumor size (p<0.01). PIK3CA mutations detected in the plasma were significantly associated with decreased disease-free survival and overall survival (p<0.05). CONCLUSIONS: As a liquid molecular biopsy, analysis of circulating PIK3CA mutations shows promise as a way to refine risk stratification of individual patients with cervical cancer, and provides a platform for further research to offer individualized therapy with the purpose of improving outcomes.