Investigator
Professor · Rutgers School of Public Health, Biostatistics and Epidemiology
Improving Uptake of Cancer Genetic Risk Assessment in a Remote Tailored Risk Communication and Navigation Intervention: Large Effect Size but Room to Grow
PURPOSECancer genetic risk assessment (CGRA) is recommended for women with ovarian cancer or high-risk breast cancer, yet fewer than 30% receive recommended genetic services, with the lowest rates among underserved populations. We hypothesized that compared with usual care (UC) and mailed targeted print (TP) education, CGRA uptake would be highest among women receiving a phone-based tailored risk counseling and navigation intervention (TCN).METHODSIn this three-arm randomized trial, women with ovarian or high-risk breast cancer were recruited from statewide cancer registries in Colorado, New Jersey, and New Mexico. Participants assigned to TP received a mailed educational brochure. Participants assigned to TCN received the mailed educational brochure, an initial phone-based psychoeducational session with a health coach, a follow-up letter, and a follow-up navigation phone call.RESULTSParticipants' average age was 61 years, 25.4% identified as Hispanic, 5.9% identified as non-Hispanic Black, and 17.5% lived in rural areas. At 6 months, more women in TCN received CGRA (18.7%) than those in TP (3%; odds ratio, 7.4; 95% CI, 3.0 to 18.3; P < .0001) or UC (2.5%; odds ratio, 8.9; 95% CI, 3.4 to 23.5; P < .0001). There were no significant differences in CGRA uptake between TP and UC. Commonly cited barriers to genetic counseling were lack of provider referral (33.7%) and cost (26.5%), whereas anticipated difficulty coping with test results (14.0%) and cost (41.2%) were barriers for genetic testing.CONCLUSIONTCN increased CGRA uptake in a group of geographically and ethnically diverse high-risk breast and ovarian cancer survivors. Remote personalized interventions that incorporate evidence-based health communication and behavior change strategies may increase CGRA among women recruited from statewide cancer registries.
Significantly elevated serum human epididymis protein‐4 in chronic kidney disease patients without ovarian cancer: A large‐scale retrospective study
AbstractBackgroundsHuman epididymis protein‐4 (HE‐4) is a commonly used biomarker for diagnosing ovarian cancer. Elevated HE‐4 has also been observed in various benign conditions including chronic kidney disease (CKD); however, generalizability and statistical power of previous studies have been limited by small sample sizes.Materials and MethodsWe conducted a retrospective study that included 80 pathologically confirmed ovarian cancer patients, 641 CKD patients, and 2661 healthy controls. Serum HE‐4 and several renal function parameters were collected and compared between the three groups. Correlation analysis was conducted to evaluate the relationship between HE‐4 and renal function parameters. A receiver operating characteristic curve was established to evaluate its diagnostic performance.ResultsCKD patients had the highest levels of HE‐4, with a median of 193.00 pmol/L, while the median in ovarian cancer patients was 90.82 pmol/L. HE‐4 levels also increased with CKD progression, and Spearman's rank correlation showed that HE‐4 had a strong correlation with renal function parameters in CKD patients. Furthermore, HE‐4 exhibited a satisfactory diagnostic performance in both differentiating CKD patients and controls as well as stage 2 CKD patients and controls.ConclusionHE‐4 can be used as an alternative biomarker for diagnosing CKD as it is less affected by several preanalytical factors. Nevertheless, in clinical practice, elevated HE‐4 requires taking both CKD and ovarian cancer into consideration.
The residual rate of HPV and the recurrence rate of CIN after LEEP with negative margins: A meta-analysis
Background HPV is detected in up to 47% of CIN and up to 70% of cervical cancers. It can cause intraepithelial neoplasia, which can eventually progress to invasive carcinoma. Almost all cervical cancers are caused by HPV. Therefore, it is especially important to treat high-risk HPV. For patients who have undergone LEEP surgery, this procedure can effectively treat CIN. However, it has not been studied in a meta-analysis whether HPV remains after the surgery and whether residual HPV increases the recurrence risk of CIN. To address this gap, our study collected all relevant literature to investigate the residual rate of HPV and its potential influence on the recurrence rate of CIN. We aim to provide valuable recommendations for clinicians and patients. Methods The Cochrane Library, EMBASE, and PubMed databases were searched from the establishment of the database until October 2023. Stata 12.0 software was used for the statistical analysis. Results Twelve studies were included, with a total sample size of 1192 cases. The meta-analysis found that the recurrence rate of CIN was quite low [95% CI = 0.5% (0.001, 0.012); P = 0.006] when the margins were negative after LEEP and there was no residual HPV. When HPV was present, the recurrence rate of CIN was significantly higher [95% CI = 18% (0.089, 0.291), P = 0.000], even if the margins were negative. The recurrence rate of CIN with residual HPV was 3.6 times higher than the recurrence rate of CIN without residual HPV. The residual rate of HPV after LEEP with negative margins was 22.7% [95% CI (0.167, 0.294), P = 0.000], which remained relatively high. Conclusion This meta-analysis found that the recurrence rate of CIN without residual HPV and with negative margins after LEEP was quite low, at 0.5%. However, when HPV was residual, the recurrence rate of CIN significantly increased to 18%, even if the margins were negative. The residual rate of HPV was 22.7%, even when the margins were negative after LEEP.
Genetic Risk Assessment for Cancer Education and Empowerment (GRACE) Project
GRACE is a randomized 3-arm trial to determine the comparative effectiveness of two remote cancer communication interventions: 1) a targeted generic print (TP) or 2) a tailored telephone-based counseling and navigation intervention (TCN). Post-award, the target sample size was revised to (n=642) with NIH permission.
Professor
Rutgers School of Public Health · Biostatistics and Epidemiology
Ph.D.
The Pennsylvania State University · Statistics