Personalized survivorship care: Routine breast cancer risk assessment in the gynecologic oncology clinic.

INTRODUCTION: Gynecologic and breast cancers share several risk factors. Breast cancer risk assessment tools can identify those at elevated risk and allow for enhanced breast surveillance and chemoprevention, however such tools are underutilized. We aim to evaluate the use of routine breast cancer risk assessment in a gynecologic oncology clinic. METHODS: A patient-facing web-based tool was used to collect personal and family history and run four validated breast cancer risk assessment models (Tyrer-Cuzick (TC), Gail, BRCAPRO, and Claus) in a gynecologic oncology clinic. We evaluated completion of the tools and identification of patients at elevated risk for breast cancer using the four validated models. RESULTS: A total of 99 patients were included in this analysis. The BRCAPRO model had the highest completion rate (84.8%), followed by the TC model (74.7%), Gail model (74.7%), and the Claus model (52.1%). The TC model identified 21.6% of patients completing the model as having ≥20% lifetime risk of breast cancer, compared to 6.8% by the Gail model, and 0% for both the BRCAPRO and Claus models. The Gail model identified 52.5% of patients as having ≥1.67% 5-year risk of breast cancer. Among patients identified as high-risk for breast cancer and eligible for screening, 9/9 (100%) were referred to a high-risk breast clinic. CONCLUSION: Among patients that completed the TC breast cancer risk assessment in a gynecologic oncology clinic, approximately 1 in 5 were identified to be at significantly elevated lifetime risk for breast cancer. The gynecologic oncologist's office might offer a convenient and feasible setting to incorporate this risk assessment into routine patient care, as gynecologic oncologists often have long-term patient relationships and participate in survivorship care.

Integration and usability of a digital cancer risk stratification tool to optimize identification of patients at risk for hereditary cancers: A pilot study.

BACKGROUND: Patients with a personal or family history of cancer may have elevated risk of developing future cancers, which often remains unrecognized due to lapses in screening. This pilot study assessed the usability and clinical outcomes of a cancer risk stratification tool in a gynecologic oncology clinic. METHODS: New gynecologic oncology patients were prompted to complete a commercially developed personal and family history-based risk stratification tool to assess eligibility for genetic testing using National Comprehensive Cancer Network criteria and estimated lifetime breast cancer risk using the Tyrer-Cuzick model. After use of the risk stratification tool, usability was assessed via completion rate and the System Usability Scale, and health literacy was assessed using the BRIEF Health Literacy Screening Tool. RESULTS: 130 patients were prompted to complete the risk stratification tool; 93 (72%) completed the tool. Race and ethnicity and insurance type were not associated with tool completion. The median System Usability Scale score was 83 out of 100 (interquartile range, 60-95). Health literacy positively correlated with perceived usability. Public insurance and race or ethnicity other than non-Hispanic White was associated with lower perceived usability. Sixty (65%) patients met eligibility criteria for genetic testing, and 21 (38% of 56 eligible patients) were candidates for enhanced breast cancer screening based on an estimated lifetime breast cancer risk of ≥20%. CONCLUSIONS: A majority of patients completed the digital cancer risk stratification tool. Older age, lower health literacy, public insurance, and race or ethnicity other than non-Hispanic White were associated with lower perceived tool usability.

Building knowledge using a novel web-based intervention to promote HPV vaccination in a diverse, low-income population.

OBJECTIVES: HPV vaccination rates remain suboptimal despite proven efficacy. Data suggest misconceptions or lack of knowledge are leading barriers. Our study aimed to develop and pilot a novel interactive education resource designed to educate parents and patients about HPV vaccines. METHODS: This is a prospective pilot study conducted in an urban teaching hospital pediatric clinic. The Patient Activated Learning System (PALS) intervention included 3 web-based videos with HPV vaccine-related educational content. Participants were parents of adolescent patients, aged 11-17 years, and young adult patients, aged 18-26 years. Enrolled participants completed an HPV vaccine knowledge survey before and after watching PALS; paired scores were evaluated. Acceptability and participant-reported impact of PALS modules were measured via Likert-scale surveys. RESULTS: 132 individuals were approached; 101 (76%) enrolled and completed the study. Participants self-identified as Hispanic (50%), non-Hispanic Black (23%), non-Hispanic White (7%), Asian (6%), American/Alaskan/Hawaiian Native or Pacific Islander (5%). Half reported earning ≤$40,000 annually; 57% had only a high school education. Post-intervention knowledge scores were increased compared to baseline (9.87/27 points vs 17.53/27 points, p < 0.01). PALS modules were reported as enjoyable to use and understandable (89% and 93%, respectively), and improved participants' understanding of the importance of HPV vaccination (90%). Of the 18 patients unvaccinated at baseline, 39% received 1 shot of the HPV vaccine within one month. CONCLUSION: The PALS HPV vaccine educational intervention was feasible, acceptable, and improved knowledge among a diverse, underserved population. Our intervention may positively influence HPV vaccination rates, with potential to overcome HPV vaccine hesitancy.

Chatbot Artificial Intelligence for Genetic Cancer Risk Assessment and Counseling: A Systematic Review and Meta-Analysis.

PURPOSE: Most individuals with a hereditary cancer syndrome are unaware of their genetic status to underutilization of hereditary cancer risk assessment. Chatbots, or programs that use artificial intelligence to simulate conversation, have emerged as a promising tool in health care and, more recently, as a potential tool for genetic cancer risk assessment and counseling. Here, we evaluated the existing literature on the use of chatbots in genetic cancer risk assessment and counseling. METHODS: A systematic review was conducted using key electronic databases to identify studies which use chatbots for genetic cancer risk assessment and counseling. Eligible studies were further subjected to meta-analysis. RESULTS: Seven studies met inclusion criteria, evaluating five distinct chatbots. Three studies evaluated a chatbot that could perform genetic cancer risk assessment, one study evaluated a chatbot that offered patient counseling, and three studies included both functions. The pooled estimated completion rate for the genetic cancer risk assessment was 36.7% (95% CI, 14.8 to 65.9). Two studies included comprehensive patient characteristics, and none involved a comparison group. Chatbots varied as to the involvement of a health care provider in the process of risk assessment and counseling. CONCLUSION: Chatbots have been used to streamline genetic cancer risk assessment and counseling and hold promise for reducing barriers to genetic services. Data regarding user and nonuser characteristics are lacking, as are data regarding comparative effectiveness to usual care. Future research may consider the impact of chatbots on equitable access to genetic services.

Surgical and oncologic outcomes in surgically treated women 80 years and older with endometrioid endometrial cancer as a function of their comorbidities.

Objective: To describe the surgical and oncologic outcomes in surgically treated oldest old women (≥80 years) with endometrioid endometrial cancer as a function of their comorbidities. Methods: In this retrospective cohort study, patients aged 80-99 years who underwent surgical management of stage I endometrioid endometrial cancer between 2006 and 2018 were included. Low- and high-intermediate risk disease was defined using the Gynecologic Oncology Group-99 criteria. The validated, Combined Age-Charlson Comorbidity Index (CA-CCI) was used to quantify comorbidity burden. Logistic regression was used to identify the independent predictors of various surgical and oncologic outcomes. Kaplan-Meier survival analysis was performed to compare survival distributions based on mortality cause and comorbidity status. Results: We identified 64 women who met the eligibility criteria. Median age was 84 years (IQR 80, 94 years). Among oldest old women undergoing a hysterectomy with or without lymph node dissection, women with a CA-CCI score of ≥7 had an 8 times higher risk of postoperative infections compared with oldest old women with a <7 score (95% CI 1.53-48.91, P = 0.015). Women with a CA-CCI score of ≥8 were 45% less likely to survive at 3 years (aRR 0.55, 95% CI 0.004-0.87; P = 0.039) than those with a lower CA-CCI score (three-year overall survival 73% vs 96%). Conclusion: Surgical and oncologic outcomes in oldest old women with early stage endometrioid endometrial cancer are largely determined by comorbidity status. Less comorbid women (CA-CCI score < 8) had a significantly higher five-year survival at 87% than their more comorbid counterparts. Use of age-comorbidity risk scoring such as CA-CCI, preoperative optimization, and careful selection for and counseling of patients about surgical treatment are paramount in providing optimal recovery and survival advantages in the oldest old.

Partner and localizer of BRCA2 (PALB2) pathogenic variants and ovarian cancer: A systematic review and meta-analysis.

OBJECTIVE: Approximately 20% of ovarian cancers are due to an underlying germline pathogenic variant. While pathogenic variants in several genes have been well-established in the development of hereditary ovarian cancer (e.g. BRCA1/2, RAD51C, RAD51D, BRIP1, mismatch repair genes), the role of partner and localizer of BRCA2 (PALB2) remains uncertain. We sought to utilize meta-analysis to evaluate the association between PALB2 germline pathogenic variants and ovarian cancer. METHODS: We conducted a systematic review and meta-analysis. We searched key electronic databases to identify studies evaluating multigene panel testing in people with ovarian cancer. Eligible trials were subjected to meta-analysis. RESULTS: Fifty-five studies met inclusion criteria, including 48,194 people with ovarian cancer and information available on germline PALB2 pathogenic variant status. Among people with ovarian cancer and available PALB2 sequencing data, 0.4% [95% CI 0.3-0.4] harbored a germline pathogenic variant in the PALB2 gene. The pooled odds ratio (OR) for carrying a PALB2 pathogenic variant among the ovarian cancer population of 20,474 individuals who underwent germline testing was 2.48 [95% CI 1.57-3.90] relative to 123,883 controls. CONCLUSIONS: Our meta-analysis demonstrates that the pooled OR for harboring a PALB2 germline pathogenic variant among people with ovarian cancer compared to the general population is 2.48 [95% CI 1.57-3.90]. Prospective studies evaluating the role of germline PALB2 pathogenic variants in the development of ovarian cancer are warranted.

Do people with hereditary cancer syndromes inform their at-risk relatives? A systematic review and meta-analysis.

Purpose: To evaluate rates of familial disclosure of hereditary cancer syndrome information. Methods: A systematic review and meta-analysis was conducted in accordance with PRISMA guidelines (PROSPERO no.: CRD42020134276). Key electronic databases were searched to identify studies evaluating hereditary cancer syndrome cascade relative disclosure. Eligible studies were subjected to meta-analysis. Results: Thirty-four studies met inclusion criteria. Among 11,711 included relatives, 70% (95% CI 60 - 78%) were informed of their risk of carrying a cancer-associated pathogenic variant; of 2,875 relatives informed of their risk who were evaluated for uptake of cascade testing, 43% (95% CI 27 - 61%) completed testing. Rates of disclosure were higher among female vs male relatives (79% [95% CI 73% - 84%] vs 67% [95% CI 57% - 75%]) and first-degree vs second-degree relatives (83% [95% CI 77% - 88%] vs 58% [95% CI 45 - 69%]). Conclusion: Nearly one-third of at-risk relatives remain uninformed of their risk of carrying a cancer-associated pathogenic variant. Even among those informed, fewer than half subsequently complete genetic testing, representing a critical missed opportunity for precision cancer prevention. Innovation: Five studies evaluating interventions to improve disclosure rates were generally ineffective. Urgent work is needed to elucidate barriers to relative disclosure by probands to develop targeted interventions that can optimize proband-mediated cascade genetic testing rates.

Landmark Series on Disparities: Uterine Cancer and Strategies for Mitigation.

Longstanding racial disparities exist in uterine cancer. There is a growing body of literature documenting differences in the prevalence, diagnosis, treatment, and tumor characteristics of uterine cancer in Black women compared with White women that significantly contribute to the outcome disparity seen between the groups. This article seeks to provide an overview of racial disparities present in uterine cancer, with attention on Black women in the USA, as well as offer a review on the multifactorial etiology of the disparities described.

Prescribed medical cannabis in women with gynecologic malignancies: A single-institution survey-based study.

Research within a gynecologic oncology population has lagged behind the uptake in use of medical cannabis for symptom control. This study seeks to evaluate patient experience with prescribed medical cannabis obtained through licensed dispensaries in women with gynecologic malignancies. A 43-item survey exploring patient experience with medical cannabis was administered to women with gynecologic malignancies who used medical cannabis prescribed by a gynecologic oncologist. Thirty-six eligible patients were approached for consent, and 31 patients returned completed surveys (86%). Ninety-three percent had advanced or recurrent disease; 74% were receiving chemotherapy or immunotherapy. Eighty-three percent reported medical cannabis provided relief from cancer or treatment-related symptoms including decreased appetite (41%), insomnia (41%), neuropathy (41%), anxiety (35%), nausea (29%), joint pain (29%), bone pain (29%), abdominal pain (25%), and depression (19%). Eighty percent of patients reported medical cannabis worked the same or better than other traditional medications for management of their cancer or treatment-related symptoms, and 83% reported medical cannabis had an equivalent or better side effect profile. Of the subset of patients using medical cannabis for pain, 63% reported a reduction in opioid use. Patients perceive that medical cannabis was useful for relief of cancer and treatment-related symptoms, suggesting medical cannabis may be a reasonable alternative or adjunct therapy. Medical cannabis was well tolerated and may have the potential to improve neuropathic pain and decrease opioid use.

Opsoclonus-ataxia syndrome and mature ovarian teratoma in an adolescent.

•Ovarian teratomas have been implicated in multiple paraneoplastic syndromes.•Opsoclonus-ataxia syndrome is a rare entity that may be secondary to a paraneoplastic, infectious, or idiopathic process.•Opsoclonus-ataxia syndrome may be associated with ovarian teratoma in both children and adults.•Prompt gynecologic involvement for teratoma resection is warranted.

Patient reported outcomes in evaluation of chemotherapy toxicity in women with gynecologic malignancies: A pilot study.

OBJECTIVE: Patient reported outcomes (PRO) relating to treatment toxicities have been demonstrated to reliably evaluate adverse events in clinical trials. We assessed the user satisfaction of implementing a focused PRO questionnaire for patients with gynecologic cancers undergoing chemotherapy. METHODS: Patients with gynecologic cancers undergoing chemotherapy were prospectively identified after IRB approval from April 2017 to August 2017. We administered a 24-symptom questionnaire, adapted from the validated PRO version of the Common Terminology Criteria for Adverse Event, to enrolled participants at the beginning of two outpatient visits. Patient and provider satisfaction with use of PRO was assessed afterwards. Descriptive statistics were performed. RESULTS: A total of 44 patients were enrolled. Patients were racially diverse: 52% Caucasian, 18% African-American, 9% Asian, and 20% other; 27% were of Hispanic origin. The majority of patients had ovarian cancer (54%), followed by uterine (29%) and cervical cancer (15%). Ninety-five percent of patient and 97% of provider satisfaction survey responses indicated the PRO questionnaire addressed important symptoms. Nearly all patient and provider responses indicated the PRO questionnaire was easy to use. Sixty-nine percent of patient and 97% of provider responses indicated the questionnaire positively impacted clinical care; 85% of patients wished to use a similar questionnaire throughout treatment. CONCLUSIONS: We have shown that incorporating a focused patient-reported symptom questionnaire into routine outpatient care of gynecological oncology patients undergoing chemotherapy was met with a high degree of patient and provider satisfaction regarding questionnaire content, feasibility, and perception of care improvement.

Maternal cytomegalovirus-specific immune responses and symptomatic postnatal cytomegalovirus transmission in very low-birth-weight preterm infants.

INTRODUCTION: Transmission of cytomegalovirus (CMV) via breast milk can lead to severe acute illness in very low-birth-weight (VLBW) preterm infants. Although the majority of CMV-seropositive women shed CMV in milk, symptomatic postnatal infection of VLBW infants occurs infrequently, suggesting that virologic or immunologic factors in milk may be associated with the risk and severity of postnatal CMV infection. METHODS: We investigated the magnitude of CMV-specific cellular and humoral immune responses in milk of 30 seropositive mothers of VLWB preterm infants and assessed their relationship to milk CMV load and symptomatic CMV transmission. RESULTS: Milk immunoglobulin G (IgG) avidity was inversely correlated to milk CMV load (r = -0.47; P = .009). However, milk CMV load and CMV-specific cellular and humoral immune responses were similar in mothers of VLBW infants with and those without symptomatic postnatal CMV infection. CONCLUSIONS: Similar immunologic parameters in milk of CMV-seropositive mothers of VLBW infants with and without symptomatic postnatal CMV infection indicate that screening milk by these parameters may not predict disease risk. However, the inverse correlation between milk CMV IgG avidity and CMV load may suggest that enhancement of maternal CMV-specific IgG responses could aid in reduction of CMV shedding into breast milk.

A scoring system to predict readmission of patients with acute pancreatitis to the hospital within thirty days of discharge.

BACKGROUND & AIMS: Reducing rapid readmission of patients after discharge could improve quality of treatment and reduce costs. Little is known about clinical predictors of early readmission for acute pancreatitis (AP). We developed a strategy to identify and stratify patients with AP at risk for readmission within 30 days of discharge. METHODS: We derived and validated a model in a cohort of patients hospitalized with AP from June 2005-October 2009. Early readmission was defined as admission to the hospital or reevaluation in the emergency department within 30 days of discharge. The cohort was divided into a derivation cohort (admitted June 2005-December 2007, n = 248) and a validation cohort (admitted January 2008-October 2009, n = 198). A weighted scoring system was developed using logistic regression for the prediction of early readmission. Accuracy was assessed by area under the receiver-operator characteristic (ROC) curve analysis. RESULTS: Of the total patients, 21% (92/446) had early readmission. Multivariable analysis identified the following discharge characteristics as independent risk factors for early readmission: gastrointestinal symptoms, eating less than a solid diet, pancreatic necrosis, treatment with antibiotics, and pain (P < .05). Weighted risk scores stratified patients into groups of low, moderate, and high risk for early readmission: 4%, 15%, and 87%, respectively, in the derivation cohort and 5%, 18%, and 68%, respectively, in the validation cohort. Area under the ROC curve demonstrated an accurate prediction (c-statistic = 0.83). CONCLUSIONS: We created a scoring system that accurately predicts which patients with AP have high and low risk of readmission within 30 days of discharge.