Unpacking overuse of androgen deprivation therapy for prostate cancer to inform de-implementation strategies.

BACKGROUND: Many men with prostate cancer will be exposed to androgen deprivation therapy (ADT). While evidence-based ADT use is common, ADT is also used in cases with no or limited evidence resulting in more harm than benefit, i.e., overuse. Since there are risks of ADT (e.g., diabetes, osteoporosis), it is important to understand the behaviors facilitating overuse to inform de-implementation strategies. For these reasons, we conducted a theory-informed survey study, including a discrete choice experiment (DCE), to better understand ADT overuse and provider preferences for mitigating overuse. METHODS: Our survey used the Action, Actor, Context, Target, Time (AACTT) framework, the Theoretical Domains Framework (TDF), the Capability, Opportunity, Motivation-Behavior (COM-B) Model, and a DCE to elicit provider de-implementation strategy preferences. We surveyed the Society of Government Service Urologists listserv in December 2020. We stratified respondents based on the likelihood of stopping overuse as ADT monotherapy for localized prostate cancer ("yes"/"probably yes," "probably no"/"no"), and characterized corresponding Likert scale responses to seven COM-B statements. We used multivariable regression to identify associations between stopping ADT overuse and COM-B responses. RESULTS: Our survey was completed by 84 respondents (13% response rate), with 27% indicating "probably no"/"no" to stopping ADT overuse. We found differences across respondents who said they would and would not stop ADT overuse in demographics and COM-B statements. Our model identified 2 COM-B domains (Opportunity-Social, Motivation-Reflective) significantly associated with a lower likelihood of stopping ADT overuse. Our DCE demonstrated in-person communication, multidisciplinary review, and medical record documentation may be effective in reducing ADT overuse. CONCLUSIONS: Our study used a behavioral theory-informed survey, including a DCE, to identify behaviors and context underpinning ADT overuse. Specifying behaviors supporting and gathering provider preferences in addressing ADT overuse requires a stepwise, stakeholder-engaged approach to support evidence-based cancer care. From this work, we are pursuing targeted improvement strategies. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03579680.

The Acceptance and Use of Digital Technologies for Self-Reporting Medication Safety Events After Care Transitions to Home in Patients With Cancer: Survey Study.

BACKGROUND: Actively engaging patients with cancer and their families in monitoring and reporting medication safety events during care transitions is indispensable for achieving optimal patient safety outcomes. However, existing patient self-reporting systems often cannot address patients' various experiences and concerns regarding medication safety over time. In addition, these systems are usually not designed for patients' just-in-time reporting. There is a significant knowledge gap in understanding the nature, scope, and causes of medication safety events after patients' transition back home because of a lack of patient engagement in self-monitoring and reporting of safety events. The challenges for patients with cancer in adopting digital technologies and engaging in self-reporting medication safety events during transitions of care have not been fully understood. OBJECTIVE: We aim to assess oncology patients' perceptions of medication and communication safety during care transitions and their willingness to use digital technologies for self-reporting medication safety events and to identify factors associated with their technology acceptance. METHODS: A cross-sectional survey study was conducted with adult patients with breast, prostate, lung, or colorectal cancer (N=204) who had experienced care transitions from hospitals or clinics to home in the past 1 year. Surveys were conducted via phone, the internet, or email between December 2021 and August 2022. Participants' perceptions of medication and communication safety and perceived usefulness, ease of use, attitude toward use, and intention to use a technology system to report their medication safety events from home were assessed as outcomes. Potential personal, clinical, and psychosocial factors were analyzed for their associations with participants' technology acceptance through bivariate correlation analyses and multiple logistic regressions. RESULTS: Participants reported strong perceptions of medication and communication safety, positively correlated with medication self-management ability and patient activation. Although most participants perceived a medication safety self-reporting system as useful (158/204, 77.5%) and easy to use (157/204, 77%), had a positive attitude toward use (162/204, 79.4%), and were willing to use such a system (129/204, 63.2%), their technology acceptance was associated with their activation levels (odds ratio [OR] 1.83, 95% CI 1.12-2.98), their perceptions of communication safety (OR 1.64, 95% CI 1.08-2.47), and whether they could receive feedback after self-reporting (OR 3.27, 95% CI 1.37-7.78). CONCLUSIONS: In general, oncology patients were willing to use digital technologies to report their medication events after care transitions back home because of their high concerns regarding medication safety. As informed and activated patients are more likely to have the knowledge and capability to initiate and engage in self-reporting, developing a patient-centered reporting system to empower patients and their families and facilitate safety health communications will help oncology patients in addressing their medication safety concerns, meeting their care needs, and holding promise to improve the quality of cancer care.

Financial Toxicity in Breast Reconstruction: The Role of the Surgeon-Patient Cost-of-Care Discussion.

The financial burden of breast cancer treatment and reconstruction is a significant concern for patients. Patient desire for preoperative cost-of-care counseling while navigating the reconstructive process remains unknown. A cross-sectional survey of women from the Love Research Army was conducted. An electronic survey was distributed to women over 18 years of age and at least 1 year after postmastectomy breast reconstruction. Descriptive statistics and multivariable modeling were used to determine desire for and occurrence of cost-of-care discussions, and factors associated with preference for such discussions. Secondary outcomes included the association of financial toxicity with desire for cost discussions. Among 839 women who responded, 620 women (74.1%) did not speak to their plastic surgeon and 480 (57.4%) did not speak to a staff member regarding costs of breast reconstruction. Of the 550 women who reported it would have been helpful to discuss costs, 315 (57.3%) were not engaged in a financial conversation initiated by a health care provider. A greater proportion of women who reported financial toxicity, compared to those who did not, would have preferred to discuss costs with their plastic surgeon (65.2% vs. 43.5%, p < 0.001) or a staff member (75.5% vs. 59.3%, p < 0.001). Among women with financial toxicity, those who had some form of insurance (private, Medicaid, Medicare, "other") were significantly more likely to prefer a cost-of-care discussion ( p < 0.001, p = 0.02, p = 0.05, p = 0.01). Financial discussions about the potential costs of breast reconstruction seldom occurred in this national cohort. Given the reported preference and unmet need for financial discussions by a majority of women, better cost transparency and communication is needed.

A longitudinal mixed-methods study of pathology explanation clinics in patients with newly diagnosed localized prostate cancer.

OBJECTIVES: To characterize the role of pathology explanation clinics (PECs) in prostate cancer care and determine their impact on patients, urologic oncologists, and quality of care. METHODS: Semistructured interviews with 10 patients with newly diagnosed prostate cancer were conducted before and after a PEC pilot and at the 1- and 6-month follow-up visits. Information about participants' cancer knowledge and anxiety were collected quantitatively. Documented pathologist communications and proper review of outside biopsy slides were collected. Semistructured interviews were also completed with participating urologic oncologists following the pilot. RESULTS: Pathology explanation clinics improved participants' understanding of their diagnosis, cognitively and emotionally supporting them first in their urologic oncology visit and later in making an informed treatment decision. Mean knowledge scores were high, and a minority of participants had prostate cancer anxiety. Urologic oncologists noted improved understanding and reduced anxiety among participants, enabling nuanced conversations about prognosis and management during the visit. By ensuring review of outside biopsy slides and communication of clinically significant or unexpected diagnoses, PECs supported high-quality care and patient safety. CONCLUSIONS: In this small pilot, PECs positively affected patients with prostate cancer, their clinicians, and the overall care system. Additional studies in larger populations and diverse settings will be useful.

Autoantibodies, antigen-autoantibody complexes and antigens complement CA125 for early detection of ovarian cancer.

BACKGROUND: Multiple antigens, autoantibodies (AAb), and antigen-autoantibody (Ag-AAb) complexes were compared for their ability to complement CA125 for early detection of ovarian cancer. METHODS: Twenty six biomarkers were measured in a single panel of sera from women with early stage (I-II) ovarian cancers (n = 64), late stage (III-IV) ovarian cancers (186), benign pelvic masses (200) and from healthy controls (502), and then split randomly (50:50) into a training set to identify the most promising classifier and a validation set to compare its performance to CA125 alone. RESULTS: Eight biomarkers detected ≥ 8% of early stage cases at 98% specificity. A four-biomarker panel including CA125, HE4, HE4 Ag-AAb and osteopontin detected 75% of early stage cancers in the validation set from among healthy controls compared to 62% with CA125 alone (p = 0.003) at 98% specificity. The same panel increased sensitivity for distinguishing early-stage ovarian cancers from benign pelvic masses by 25% (p = 0.0004) at 95% specificity. From 21 autoantibody candidates, 3 AAb (anti-p53, anti-CTAG1 and annt-Il-8) detected 22% of early stage ovarian cancers, potentially lengthening lead time prior to diagnosis. CONCLUSION: A four biomarker panel achieved greater sensitivity at the same specificity for early detection of ovarian cancer than CA125 alone.

Primary Care Physician and Urologist Perspectives on Optimizing Active Surveillance for Low-Risk Prostate Cancer.

PURPOSE: We conducted a study to understand primary care physician (PCP) and urologist perspectives on determinants of active surveillance care delivery for men with low-risk prostate cancer. METHODS: We conducted in-depth, semistructured, virtual interviews with a purposive sample of 19 PCPs and 15 urologists between June 2020 and March 2021. We used the behavioral theory-informed Theoretical Domains Framework to understand barriers to and facilitators of active surveillance care delivery. Interviews were recorded, transcribed, and deductively coded into framework domains and constructs by 3 independent coders. Participant recruitment continued until data saturation by group. RESULTS: Our study included 19 PCPs (9 female; 4 in community practices, 15 in academic medical centers) and 15 urologists (3 female; 5 in private practice, 3 in academic medical centers). The most commonly reported Theoretical Domains Framework domains affecting active surveillance care were (1) knowledge and (2) environmental context and resources. Although urologists were knowledgeable about active surveillance, PCPs mentioned limitations in their understanding of active surveillance (eg, what follow-up entails). Both groups noted the importance of an informed patient, especially how a patient's understanding of active surveillance facilitates their receipt of recommended follow-up. Physicians viewed patient loss to follow-up as a barrier, but identified a favorable organizational culture/climate (eg, good communication between physicians) as a facilitator. CONCLUSIONS: With patients increasingly involving their PCPs in their cancer care, our study presents factors both PCPs and urologists perceive (or identify) as affecting optimal active surveillance care delivery. We provide insights that can help inform multilevel supportive interventions for patients, physicians, and organizations to ensure the success of active surveillance as a management strategy for low-risk prostate cancer.

High expression of Trop2 is associated with aggressive localized prostate cancer and is a candidate urinary biomarker.

Distinguishing indolent from clinically significant localized prostate cancer is a major clinical challenge and influences clinical decision-making between treatment and active surveillance. The development of novel predictive biomarkers will help with risk stratification, and clinical decision-making, leading to a decrease in over or under-treatment of patients with prostate cancer. Here, we report that Trop2 is a prognostic tissue biomarker for clinically significant prostate cancer by utilizing the Canary Prostate Cancer Tissue Microarray (CPCTA) cohort composed of over 1100 patients from a multi-institutional study. We demonstrate that elevated Trop2 expression is correlated with worse clinical features including Gleason score, age, and pre-operative PSA levels. More importantly, we demonstrate that elevated Trop2 expression at radical prostatectomy predicts worse overall survival in men undergoing radical prostatectomy. Additionally, we detect shed Trop2 in urine from men with clinically significant prostate cancer. Our study identifies Trop2 as a novel tissue prognostic biomarker and a candidate non-invasive marker for prostate cancer.

Patient perspectives on factors influencing active surveillance adherence for low-risk prostate cancer: A qualitative study.

BACKGROUND: Prostate cancer is the most common cancer among men in the United States. Treatment guidelines recommend active surveillance for low-risk prostate cancer, which involves monitoring for progression, to avoid or delay definitive treatments and their side effects. Despite increased uptake, adherence to surveillance remains a challenge. METHODS: We conducted semi-structured, qualitative, virtual interviews based on the Theoretical Domains Framework (TDF), with men (15) who were or had been on active surveillance for their low-risk prostate cancer in 2020. Interviews were transcribed and coded under TDF's behavioral theory-based domains. We analyzed domains related to adherence to surveillance using constructivist grounded theory to identify themes influencing decision processes in adherence. RESULTS: The TDF domains of emotion, beliefs about consequences, environmental context and resources, and social influences were most relevant to surveillance adherence-. From these four TDF domains, three themes emerged as underlying decision processes: trust in surveillance as treatment, quality of life, and experiences of self and others. Positive perceptions of these three themes supported adherence while negative perceptions contributed to non-adherence (i.e., not receiving follow-up or stopping surveillance). The relationship between the TDF domains and themes provided a theoretical process describing factors impacting active surveillance adherence for men with low-risk prostate cancer. CONCLUSIONS: Men identified key factors impacting active surveillance adherence that provide opportunities for clinical implementation and practice improvement. Future efforts should focus on multi-level interventions that foster trust in surveillance as treatment, emphasize quality of life benefits and enhance patients' interpersonal experiences while on surveillance to optimize adherence.

Supporting Patient-Centered Pregnancy Counseling in Nephrology Care: A Semistructured Interview Study of Patients and Nephrologists.

Introduction: Individuals with chronic kidney disease (CKD) are at increased risk of adverse pregnancy outcomes and are susceptible to disempowerment and decisional burden when receiving reproductive counseling and considering pregnancy. Nephrologists do not frequently counsel about reproductive health, and no tools exist to support patient-centered reproductive counseling for those with CKD. Methods: A total of 30 patients aged 18 to 45 years with CKD stages 1 to 5 who were assigned female sex at birth and 12 nephrologists from a single academic medical center participated in semistructured qualitative interviews. They were asked about information needs, decision support needs, and facilitators and barriers to reproductive health care and counseling. Thematic analysis was performed. Results: The following 4 main themes were identified: (i) assessing reproductive intentions; (ii) information about reproductive health and kidney disease; (iii) reproductive risk; and (iv) communication and decision-making needs. Patients' reproductive intentions varied over time and shaped the content of information needed from nephrologists. Patients and nephrologists both felt that risk communication could be improved but focused on different aspects to improve the quality of this counseling; nephrologists focused on providing individualized risk estimates and patients focused on balancing risks with benefits and management. Patients desired nephrologists to bring up the topic of reproductive health and counseling in kidney clinic, and this is not frequently or systematically done currently. Conclusion: This work highlights a critical need for more dialog about reproductive health in kidney care, identified differences in what patients and nephrologists think is important in communication and decision-making, and provides an important step in developing patient-centered reproductive counseling tools in nephrology.

Tobacco Cessation Motivations, Preferences, and Barriers Among Rural Smokers: Implications for Optimizing Referrals in Clinical Practice.

Introduction: Rural‒urban smoking disparities have widened in recent years because smoking prevalence reductions have been experienced disproportionately among urban adults. Tobacco cessation programs that work in urban settings may not be reaching rural smokers or may need tailoring to be effective. Identifying smoking cessation preferences and barriers among rural smokers can facilitate the implementation of acceptable programs to address rural smoking-related disparities. Thus, the aim of this study was to examine tobacco cessation motivations, preferences, and barriers among rural smokers and to assess smokers' likelihood to use various types of tobacco cessation programs. Methods: Using a cross-sectional study design, we distributed a self-administered survey to 100 smokers during regularly scheduled healthcare appointments at 3 rural Michigan practices from June to August 2019. We examined differences in participant characteristics by the readiness to quit using chi-square/Fisher's exact tests and described cessation motivations, preferences, and barriers to tobacco cessation among rural smokers. Results: Participants reporting readiness to quit were less likely to have smoking allowed in their home (31.7% vs. 75.0%; p=0.003) and had a higher prevalence of anxiety (62.1% vs. 6.3%; p=0.0001) and depression (49.2% vs. 18.8%; p=0.04) than those not ready to quit. Preferences were higher for nicotine replacement medications and reward-based approaches, with only 10% of participants being likely to use telephone-based quitlines. Conclusions: These findings suggest that provider referrals to nicotine replacement medications and reward-based approaches can be used to enhance tobacco cessation among rural smokers.

Personalized Multilevel Intervention for Improving Appropriate Use of Colorectal Cancer Screening in Older Adults: A Cluster Randomized Clinical Trial.

Importance: Despite guideline recommendations, clinicians do not systematically use prior screening or health history to guide colorectal cancer (CRC) screening decisions in older adults. Objective: To evaluate the effect of a personalized multilevel intervention on screening orders in older adults due for average-risk CRC screening. Design, Setting, and Participants: Interventional 2-group parallel unmasked cluster randomized clinical trial conducted from November 2015 to February 2019 at 2 US Department of Veterans Affairs (VA) facilities: 1 academic VA medical center and 1 of its connected outpatient clinics. Randomization at the primary care physician/clinician (PCP) level, stratified by study site and clinical full-time equivalency. Participants were 431 average-risk, screen-due US veterans aged 70 to 75 years attending a primary care visit. Data analysis was performed from August 2018 to August 2023. Intervention: The intervention group received a multilevel intervention including a decision-aid booklet with detailed information on screening benefits and harms, personalized for each participant based on age, sex, prior screening, and comorbidity. The control group received a multilevel intervention including a screening informational booklet. All participants received PCP education and system-level modifications to support personalized screening. Main Outcomes and Measures: The primary outcome was whether screening was ordered within 2 weeks of clinic visit. Secondary outcomes were concordance between screening orders and screening benefit and screening utilization within 6 months. Results: A total of 436 patients were consented, and 431 were analyzed across 67 PCPs. Patients had a mean (SD) age of 71.5 (1.7) years; 424 were male (98.4%); 374 were White (86.8%); 89 were college graduates (21.5%); and 351 (81.4%) had undergone prior screening. A total of 258 (59.9%) were randomized to intervention, and 173 (40.1%) to control. Screening orders were placed for 162 of 258 intervention patients (62.8%) vs 114 of 173 control patients (65.9%) (adjusted difference, -4.0 percentage points [pp]; 95% CI, -15.4 to 7.4 pp). In a prespecified interaction analysis, the proportion receiving orders was lower in the intervention group than in the control group for those in the lowest benefit quartile (59.4% vs 71.1%). In contrast, the proportion receiving orders was higher in the intervention group than in the control group for those in the highest benefit quartile (67.6% vs 52.2%) (interaction P = .049). Fewer intervention patients (106 of 256 [41.4%]) utilized screening overall at 6 months than controls (96 of 173 [55.9%]) (adjusted difference, -13.4 pp; 95% CI, -25.3 to -1.6 pp). Conclusions and Relevance: In this cluster randomized clinical trial, patients who were presented with personalized information about screening benefits and harms in the context of a multilevel intervention were more likely to receive screening orders concordant with benefit and were less likely to utilize screening. Trial Registration: ClinicalTrials.gov Identifier: NCT02027545.

Novel Psychosocial Correlates of COVID-19 Vaccine Hesitancy: Cross-Sectional Survey.

BACKGROUND: Effective COVID-19 vaccines have been available since early 2021 yet many Americans refuse or delayed uptake. As of mid-2022, still around 30% of US adults remain unvaccinated against COVID-19. The majority (81%) of these unvaccinated adults say they will "definitely not" be getting the COVID-19 vaccine. Understanding the determinants of COVID-19 vaccine uptake is critical to reducing death and illness from the virus, as well as to inform future vaccine efforts, such as the more recent bivalent (omicron) booster. OBJECTIVE: This study aimed to expand our understanding of psychosocial determinants of COVID-19 vaccine uptake. We focus on both COVID-19-specific factors, such as COVID-19 conspiracy beliefs, as well as more global personality attributes such as dogmatism, reactance, gender roles, political beliefs, and religiosity. METHODS: We conducted a web-based survey in mid-2021 of a representative sample of 1376 adults measuring both COVID-19-specific beliefs and attitudes, as well as global personality attributes. COVID-19 vaccination status is reported at 3 levels: vaccinated; unvaccinated-may-get-it; unvaccinated-hard-no. RESULTS: Our analyses focused on the correlation of COVID-19 vaccination status with 10 psychosocial attributes: COVID-19-specific conspiracy theory beliefs; COVID-19 vaccine misinformation; COVID-19-related Rapture beliefs; general antivaccination beliefs; trait reactance; trait dogmatism; belief in 2020 election fraud; belief in a QAnon conspiracy; health care system distrust; and identification with traditional gender roles. We used a multivariate analysis of covariance to examine mean differences across vaccine status groups for each of the correlates while holding constant the effects of age, gender, race, income, education, political party, and Evangelicalism. Across the 10 psychosocial correlates, several different response scales were used. To allow for comparison of effects across correlates, measures of effect size were computed by converting correlates to z scores and then examining adjusted mean differences in z scores between the groups. We found that all 10 psychosocial variables were significantly associated with vaccination status. After general antivaccination beliefs, COVID-19 misinformation beliefs and COVID-19 conspiracy beliefs had the largest effect on vaccine uptake. CONCLUSIONS: The association of these psychosocial factors with COVID-19 vaccine hesitancy may help explain why vaccine uptake has not shifted much among the unvaccinated-hard-no group since vaccines became available. These findings deepen our understanding of those who remain resistant to getting vaccinated and can guide more effective tailored communications to reach them. Health communication professionals may apply lessons learned from countering related beliefs and personality attributes around issues such as climate change and other forms of vaccine hesitancy. For example, using motivational interviewing strategies that are equipped to handle resistance and provide correct information in a delicate manner that avoids reactance.

Predicting Incident Adenocarcinoma of the Esophagus or Gastric Cardia Using Machine Learning of Electronic Health Records.

BACKGROUND & AIMS: Tools that can automatically predict incident esophageal adenocarcinoma (EAC) and gastric cardia adenocarcinoma (GCA) using electronic health records to guide screening decisions are needed. METHODS: The Veterans Health Administration (VHA) Corporate Data Warehouse was accessed to identify Veterans with 1 or more encounters between 2005 and 2018. Patients diagnosed with EAC (n = 8430) or GCA (n = 2965) were identified in the VHA Central Cancer Registry and compared with 10,256,887 controls. Predictors included demographic characteristics, prescriptions, laboratory results, and diagnoses between 1 and 5 years before the index date. The Kettles Esophageal and Cardia Adenocarcinoma predictioN (K-ECAN) tool was developed and internally validated using simple random sampling imputation and extreme gradient boosting, a machine learning method. Training was performed in 50% of the data, preliminary validation in 25% of the data, and final testing in 25% of the data. RESULTS: K-ECAN was well-calibrated and had better discrimination (area under the receiver operating characteristic curve [AuROC], 0.77) than previously validated models, such as the Nord-Trøndelag Health Study (AuROC, 0.68) and Kunzmann model (AuROC, 0.64), or published guidelines. Using only data from between 3 and 5 years before index diminished its accuracy slightly (AuROC, 0.75). Undersampling men to simulate a non-VHA population, AUCs of the Nord-Trøndelag Health Study and Kunzmann model improved, but K-ECAN was still the most accurate (AuROC, 0.85). Although gastroesophageal reflux disease was strongly associated with EAC, it contributed only a small proportion of gain in information for prediction. CONCLUSIONS: K-ECAN is a novel, internally validated tool predicting incident EAC and GCA using electronic health records data. Further work is needed to validate K-ECAN outside VHA and to assess how best to implement it within electronic health records.

Primary care provider attitudes about and tendency to use non-recommended surveillance tests after curative breast cancer treatment.

PURPOSE: Little is known about the factors contributing to the receipt of non-recommended surveillance testing among early-stage breast cancer survivors. We assessed primary care providers (PCP) attitudes about and tendency to order non-recommended surveillance testing for asymptomatic early-stage breast cancer survivors post-adjuvant chemotherapy. METHODS: A stratified random sample of PCPs identified by early-stage breast cancer survivors were surveyed (N = 518, 61% response rate). PCPs were asked how likely they would be to order bone scans, imaging and/or tumor marker testing using a clinical vignette of an early-stage asymptomatic patient where these tests are non-recommended. A composite tendency to order score was created and categorized by tertiles (low, moderate, high). PCP-reported factors associated with high and moderate tendency to order non-recommended testing (vs. low) were estimated using multivariable, multinomial logistic regression. RESULTS: In this sample, 26% reported a high tendency to order non-recommended surveillance tests during survivorship for early-stage breast cancer survivors. PCPs who identified as family practice physicians and PCPs reporting more confidence in ordering surveillance testing were more likely to report a high tendency to order non-recommended testing (vs. low) ((aOR family practice 2.09, CI 1.2, 3.8; aOR more confidence 1.9, CI 1.1, 3.3). CONCLUSIONS: In this population-based sample of PCPs caring for breast cancer survivors, over a quarter of PCPs reported they would order non-recommended surveillance testing for asymptomatic early-stage breast cancer survivors. Efforts to better support PCPs and disseminate information about appropriate surveillance for cancer survivors are warranted.

Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: A Multicenter Retrospective Study.

Phosphatase and tensin homolog (PTEN) loss is associated with adverse outcomes in prostate cancer and can be measured via immunohistochemistry. The purpose of the study was to establish the clinical application of an in-house developed artificial intelligence (AI) image analysis workflow for automated detection of PTEN loss on digital images for identifying patients at risk of early recurrence and metastasis. Postsurgical tissue microarray sections from the Canary Foundation (n = 1264) stained with anti-PTEN antibody were evaluated independently by pathologist conventional visual scoring (cPTEN) and an automated AI-based image analysis pipeline (AI-PTEN). The relationship of PTEN evaluation methods with cancer recurrence and metastasis was analyzed using multivariable Cox proportional hazard and decision curve models. Both cPTEN scoring by the pathologist and quantification of PTEN loss by AI (high-risk AI-qPTEN) were significantly associated with shorter metastasis-free survival (MFS) in univariable analysis (cPTEN hazard ratio [HR], 1.54; CI, 1.07-2.21; P = .019; AI-qPTEN HR, 2.55; CI, 1.83-3.56; P < .001). In multivariable analyses, AI-qPTEN showed a statistically significant association with shorter MFS (HR, 2.17; CI, 1.49-3.17; P < .001) and recurrence-free survival (HR, 1.36; CI, 1.06-1.75; P = .016) when adjusting for relevant postsurgical clinical nomogram (Cancer of the Prostate Risk Assessment [CAPRA] postsurgical score [CAPRA-S]), whereas cPTEN does not show a statistically significant association (HR, 1.33; CI, 0.89-2; P = .2 and HR, 1.26; CI, 0.99-1.62; P = .063, respectively) when adjusting for CAPRA-S risk stratification. More importantly, AI-qPTEN was associated with shorter MFS in patients with favorable pathological stage and negative surgical margins (HR, 2.72; CI, 1.46-5.06; P = .002). Workflow also demonstrated enhanced clinical utility in decision curve analysis, more accurately identifying men who might benefit from adjuvant therapy postsurgery. This study demonstrates the clinical value of an affordable and fully automated AI-powered PTEN assessment for evaluating the risk of developing metastasis or disease recurrence after radical prostatectomy. Adding the AI-qPTEN assessment workflow to clinical variables may affect postoperative surveillance or management options, particularly in low-risk patients.

Health Data Sharing Perspectives of Patients Receiving Care in CancerLinQ-Participating Oncology Practices.

PURPOSE: CancerLinQ seeks to use data sharing technology to improve quality of care, improve health outcomes, and advance evidence-based research. Understanding the experiences and concerns of patients is vital to ensure its trustworthiness and success. METHODS: In a survey of 1,200 patients receiving care in four CancerLinQ-participating practices, we evaluated awareness and attitudes regarding participation in data sharing. RESULTS: Of 684 surveys received (response rate 57%), 678 confirmed cancer diagnosis and constituted the analytic sample; 54% were female, and 70% were 60 years and older; 84% were White. Half (52%) were aware of the existence of nationwide databases focused on patients with cancer before the survey. A minority (27%) indicated that their doctors or staff had informed them about such databases, 61% of whom indicated that doctors or staff had explained how to opt out of data sharing. Members of racial/ethnic minority groups were less likely to be comfortable with research (88% v 95%; P = .002) or quality improvement uses (91% v 95%; P = .03) of shared data. Most respondents desired to know how their health information was used (70%), especially those of minority race/ethnicity (78% v 67% of non-Hispanic White respondents; P = .01). Under half (45%) felt that electronic health information was sufficiently protected by current law, and most (74%) favored an official body for data governance and oversight with representation of patients (72%) and physicians (94%). Minority race/ethnicity was associated with increased concern about data sharing (odds ratio [OR], 2.92; P < .001). Women were less concerned about data sharing than men (OR, 0.61; P = .001), and higher trust in oncologist was negatively associated with concern (OR, 0.75; P = .03). CONCLUSION: Engaging patients and respecting their perspectives is essential as systems like CancerLinQ evolve.

Financial Toxicity and Its Association With Health-Related Quality of Life Among Partners of Colorectal Cancer Survivors.

Importance: Partners of colorectal cancer (CRC) survivors play a critical role in diagnosis, treatment, and survivorship. While financial toxicity (FT) is well documented among patients with CRC, little is known about long-term FT and its association with health-related quality of life (HRQoL) among their partners. Objective: To understand long-term FT and its association with HRQoL among partners of CRC survivors. Design, Setting, and Participants: This survey study incorporating a mixed-methods design consisted of a mailed dyadic survey with closed- and open-ended responses. In 2019 and 2020, we surveyed survivors who were 1 to 5 years from a stage III CRC diagnosis and included a separate survey for their partners. Patients were recruited from a rural community oncology practice in Montana, an academic cancer center in Michigan, and the Georgia Cancer Registry. Data analysis was performed from February 2022 to January 2023. Exposures: Three components of FT, including financial burden, debt, and financial worry. Main Outcomes and Measures: Financial burden was assessed with the Personal Financial Burden scale, whereas debt and financial worry were each assessed with a single survey item. We measured HRQoL using the PROMIS-29+2 Profile, version 2.1. We used multivariable regression analysis to assess associations of FT with individual domains of HRQoL. We used thematic analysis to explore partner perspectives on FT, and we merged quantitative and qualitative findings to explain the association between FT and HRQoL. Results: Of the 986 patients eligible for this study, 501 (50.8%) returned surveys. A total of 428 patients (85.4%) reported having a partner, and 311 partners (72.6%) returned surveys. Four partner surveys were returned without a corresponding patient survey, resulting in a total of 307 patient-partner dyads for this analysis. Among the 307 partners, 166 (56.1%) were aged younger than 65 years (mean [SD] age, 63.7 [11.1] years), 189 (62.6%) were women, and 263 (85.7%) were White. Most partners (209 [68.1%]) reported adverse financial outcomes. High financial burden was associated with worse HRQoL in the pain interference domain (mean [SE] score, -0.08 [0.04]; P = .03). Debt was associated with worse HRQoL in the sleep disturbance domain (-0.32 [0.15]; P = .03). High financial worry was associated with worse HRQoL in the social functioning (mean [SE] score, -0.37 [0.13]; P = .005), fatigue (-0.33 [0.15]; P = .03), and pain interference (-0.33 [0.14]; P = .02) domains. Qualitative findings revealed that in addition to systems-level factors, individual-level behavioral factors were associated with partner financial outcomes and HRQoL. Conclusions and Relevance: This survey study found that partners of CRC survivors experienced long-term FT that was associated with worse HRQoL. Multilevel interventions for both patients and partners are needed to address factors at individual and systemic levels and incorporate behavioral approaches.

The Michigan Genetic Hereditary Testing (MiGHT) study's innovative approaches to promote uptake of clinical genetic testing among cancer patients: a study protocol for a 3-arm randomized controlled trial.

BACKGROUND: Although most cancers are sporadic, germline genetic variants are implicated in 5-10% of cancer cases. Clinical genetic testing identifies pathogenic germline genetic variants for hereditary cancers. The Michigan Genetic Hereditary Testing (MiGHT) study is a three-arm randomized clinical trial that aims to test the efficacy of two patient-level behavioral interventions on uptake of cancer genetic testing. METHODS: The two interventions being tested are (1) a virtual genetics navigator and (2) motivational interviewing by genetic health coaches. Eligible participants are adults with a diagnosis of breast, prostate, endometrial, ovarian, colorectal, or pancreatic cancer who meet the National Comprehensive Cancer Network (NCCN) criteria for genetic testing. Participants are recruited through community oncology practices affiliated with the Michigan Oncology Quality Consortium (MOQC) and have used the Family Health History Tool (FHHT) to determine testing eligibility. The recruitment goal is 759 participants, who will be randomized to usual care or to either the virtual genetics navigator or the motivational interviewing intervention arms. The primary outcome will be the proportion of individuals who complete germline genetic testing within 6 months. DISCUSSION: This study addresses patient-level factors which are associated with the uptake of genetic testing. The study will test two different intervention approaches, both of which can help address the shortage of genetic counselors and improve access to care. TRIAL REGISTRATION: This study has been approved by the Institutional Review Board of the University of Michigan Medical School (HUM00192898) and registered in ClinicalTrials.gov (NCT05162846).