Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence-Based Prognosis for Patients With Advanced Solid Tumors.

PURPOSE: Use of artificial intelligence (AI) in cancer care is increasing. What remains unclear is how best to design patient-facing systems that communicate AI output. With oncologist input, we designed an interface that presents patient-specific, machine learning-based 6-month survival prognosis information designed to aid oncology providers in preparing for and discussing prognosis with patients with advanced solid tumors and their caregivers. The primary purpose of this study was to assess patient and caregiver perceptions and identify enhancements of the interface for communicating 6-month survival and other prognosis information when making treatment decisions concerning anticancer and supportive therapy. METHODS: This qualitative study included interviews and focus groups conducted between November and December 2022. Purposive sampling was used to recruit former patients with cancer and/or former caregivers of patients with cancer who had participated in cancer treatment decisions from Utah or elsewhere in the United States. Categories and themes related to perceptions of the interface were identified. RESULTS: We received feedback from 20 participants during eight individual interviews and two focus groups, including four cancer survivors, 13 caregivers, and three representing both. Overall, most participants expressed positive perceptions about the tool and identified its value for supporting decision making, feeling less alone, and supporting communication among oncologists, patients, and their caregivers. Participants identified areas for improvement and implementation considerations, particularly that oncologists should share the tool and guide discussions about prognosis with patients who want to receive the information. CONCLUSION: This study revealed important patient and caregiver perceptions of and enhancements for the proposed interface. Originally designed with input from oncology providers, patient and caregiver participants identified additional interface design recommendations and implementation considerations to support communication about prognosis.

Sheet-based extrusion bioprinting: a new multi-material paradigm providing mid-extrusion micropatterning control for microvascular applications.

As bioprinting advances into clinical relevance with patient-specific tissue and organ constructs, it must be capable of multi-material fabrication at high resolutions to accurately mimick the complex tissue structures found in the body. One of the most fundamental structures to regenerative medicine is microvasculature. Its continuous hierarchical branching vessel networks bridge surgically manipulatable arteries (∼1-6 mm) to capillary beds (∼10µm). Microvascular perfusion must be established quickly for autologous, allogeneic, or tissue engineered grafts to survive implantation and heal in place. However, traditional syringe-based bioprinting techniques have struggled to produce perfusable constructs with hierarchical branching at the resolution of the arterioles (∼100-10µm) found in microvascular tissues. This study introduces the novel CEVIC bioprinting device (i.e.ContinuouslyExtrudedVariableInternalChanneling), a multi-material technology that breaks the current extrusion-based bioprinting paradigm of pushing cell-laden hydrogels through a nozzle as filaments, instead, in the version explored here, extruding thin, wide cell-laden hydrogel sheets. The CEVIC device adapts the chaotic printing approach to control the width and number of microchannels within the construct as it is extruded (i.e. on-the-fly). Utilizing novel flow valve designs, this strategy can produce continuous gradients varying geometry and materials across the construct and hierarchical branching channels with average widths ranging from 621.5 ± 42.92%µm to 11.67 ± 14.99%µm, respectively, encompassing the resolution range of microvascular vessels. These constructs can also include fugitive/sacrificial ink that vacates to leave demonstrably perfusable channels. In a proof-of-concept experiment, a co-culture of two microvascular cell types, endothelial cells and pericytes, sustained over 90% viability throughout 1 week in microchannels within CEVIC-produced gelatin methacryloyl-sodium alginate hydrogel constructs. These results justify further exploration of generating CEVIC-bioprinted microvasculature, such as pre-culturing and implantation studies.

Risk factors and health behaviors associated with loneliness among cancer survivors during the COVID-19 pandemic.

Loneliness may exacerbate poor health outcomes particularly among cancer survivors during the COVID-19 pandemic. Little is known about the risk factors of loneliness among cancer survivors. We evaluated the risk factors of loneliness in the context of COVID-19 pandemic-related prevention behaviors and lifestyle/psychosocial factors among cancer survivors. Cancer survivors (n = 1471) seen at Huntsman Cancer Institute completed a survey between August-September 2020 evaluating health behaviors, medical care, and psychosocial factors including loneliness during COVID-19 pandemic. Participants were classified into two groups: 'lonely' (sometimes, usually, or always felt lonely in past month) and 'non-lonely' (never or rarely felt lonely in past month). 33% of cancer survivors reported feeling lonely in the past month. Multivariable logistic regression showed female sex, not living with a spouse/partner, poor health status, COVID-19 pandemic-associated lifestyle factors including increased alcohol consumption and marijuana/CBD oil use, and psychosocial stressors such as disruptions in daily life, less social interaction, and higher perceived stress and financial stress were associated with feeling lonely as compared to being non-lonely (all p < 0.05). A significant proportion of participants reported loneliness, which is a serious health risk among vulnerable populations, particularly cancer survivors. Modifiable risk factors such as unhealthy lifestyle behaviors and psychosocial stress were associated with loneliness. These results highlight the need to screen for unhealthy lifestyle factors and psychosocial stressors to identify cancer survivors at increased risk of loneliness and to develop effective management strategies.

Cost and Utilization Outcomes in Huntsman at Home, a Novel Oncology Hospital at Home Program.

OBJECTIVES: In a real-world trial, we previously demonstrated that Huntsman at Home, a novel oncology hospital at home program, was associated with reduced health care utilization and costs. In this study, we sought to understand the impact of Huntsman at Home in specific patient subgroups defined by sex, age, area-level median income, Charlson Comorbidity Index, and current use of systemic anticancer therapy. DESIGN: Retrospective case-control study of the Huntsman Cancer Institute. Electronic Data Warehouse of patients enrolled in Huntsman at Home between August 2018 through October 2019 vs usual-care patients. SETTING AND PARTICIPANTS: A total of 169 patients admitted to Huntsman at Home compared with 198 usual-care patients. METHODS: Five dichotomous subgroups evaluated including sex (female vs male), age (≥65 vs <65), income (≥$78,735 vs <$78,735), Charlson Comorbidity Index (≥2 vs <2), and current systemic anticancer therapy use vs no current systemic anticancer therapy. Groups were compared with patients receiving usual care. Primary outcomes included 30-day costs, hospital length of stay, unplanned hospitalizations, and emergency room visits. RESULTS: Admission to Huntsman at Home was associated with an overall reduction across all 4 health care cost and utilization outcomes. Outcomes favoring admission to Huntsman at Home achieved statistical significance (P < .05) in at least 2 of the 4 outcomes for each subgroup studied. Of the subgroups that did not achieve statistically significant benefit from Huntsman at Home admission in some outcome categories, none of these subgroups favored usual care. CONCLUSIONS AND IMPLICATIONS: Admission to Huntsman at Home decreased utilization of unplanned health care and reduced costs across a wide spectrum of patient subgroups, suggesting overall consistent benefit from the service. Hospital at home models should be considered as a means by which the quality and efficiency of care can be maximized for patients with cancer.

ATA risk stratification in papillary thyroid microcarcinoma has low positive predictive value when identifying recurrence.

BACKGROUND: Rising incidence of papillary thyroid microcarcinomas (PTMC) has raised concerns for overdiagnosis. Utility of the American Thyroid Association Risk Stratification System (ATA-RSS) 2015 in predicting risk of disease recurrence in patients with PTMC was assessed. METHODS: Electronic health records of patients who underwent total thyroidectomy were queried. ATA-RSS 2015 risk stratification was performed on those with PTMC, and validity for predicting disease recurrence was calculated. RESULTS: With 10-year median follow up, recurrence was higher in PTMC patients with high/intermediate vs low ATA risk (33 â€‹% vs 4 â€‹%, p â€‹= â€‹0.002). Sensitivity of ATA-RSS for detecting recurrence was 60 â€‹%, specificity 90 â€‹%, PPV 33.3 â€‹%, NPV 96.6 â€‹%, and accuracy 88 â€‹%. When microscopic extrathyroidal extension (ETE) was excluded as an intermediate risk criterion, PPV improved to 50 â€‹% and accuracy improved to 92.5 â€‹% CONCLUSIONS: ATA-RSS 2015 predicts recurrence in PTMC with high NPV but low PPV. Exclusion of microscopic ETE improved PPV, which may help prevent overtreatment.

Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach.

OBJECTIVES: To design an interface to support communication of machine learning (ML)-based prognosis for patients with advanced solid tumors, incorporating oncologists' needs and feedback throughout design. MATERIALS AND METHODS: Using an interdisciplinary user-centered design approach, we performed 5 rounds of iterative design to refine an interface, involving expert review based on usability heuristics, input from a color-blind adult, and 13 individual semi-structured interviews with oncologists. Individual interviews included patient vignettes and a series of interfaces populated with representative patient data and predicted survival for each treatment decision point when a new line of therapy (LoT) was being considered. Ongoing feedback informed design decisions, and directed qualitative content analysis of interview transcripts was used to evaluate usability and identify enhancement requirements. RESULTS: Design processes resulted in an interface with 7 sections, each addressing user-focused questions, supporting oncologists to "tell a story" as they discuss prognosis during a clinical encounter. The iteratively enhanced interface both triggered and reflected design decisions relevant when attempting to communicate ML-based prognosis, and exposed misassumptions. Clinicians requested enhancements that emphasized interpretability over explainability. Qualitative findings confirmed that previously identified issues were resolved and clarified necessary enhancements (eg, use months not days) and concerns about usability and trust (eg, address LoT received elsewhere). Appropriate use should be in the context of a conversation with an oncologist. CONCLUSION: User-centered design, ongoing clinical input, and a visualization to communicate ML-related outcomes are important elements for designing any decision support tool enabled by artificial intelligence, particularly when communicating prognosis risk.

Caregiver Burden and Workplace Productivity Among Hospice Cancer Caregivers.

OBJECTIVES: To examine the relationships among family caregiver burden and workplace productivity and activity impairment among home hospice family caregivers of individuals with cancer who worked while providing end-of-life caregiving. SAMPLE & SETTING: Baseline data from a longitudinal study of communication between hospice providers and hospice family caregivers were used for this secondary analysis. METHODS & VARIABLES: Working family caregivers with complete workplace productivity and activity impairment data were included in this analysis (N = 30). Demographic data, caregiver burden, and workplace productivity and activity impairment were examined with descriptive statistics, correlation analysis, and hierarchical linear regressions. RESULTS: Hospice family caregivers were primarily White, female, married, and employed full-time. Caregiver burden levels were significantly positively associated with activity impairment, presenteeism, and work productivity loss. These relationships remained statistically significant when controlling for age. IMPLICATIONS FOR NURSING: Hospice and oncology nurses can support working hospice family caregivers by assessing for burden and associated workplace challenges, as well as by providing referrals for respite and community resources.

External Validation of a Machine Learning Model to Predict 6-Month Mortality for Patients With Advanced Solid Tumors.

This prognostic study performed external validation of a machine learning model to predict 6-month mortality among patients with advanced solid tumors.

Does Non-Classic Lobular Carcinoma In Situ at the Lumpectomy Margin Increase Local Recurrence?

BACKGROUND: The clinical significance of nonclassic, lobular carcinoma in situ (NC-LCIS) at the surgical margin of excisions for invasive cancer is unknown. We sought to determine whether NC-LCIS at or near the margin in the setting of a concurrent invasive carcinoma is associated with risk of ipsilateral breast tumor recurrence (IBTR) and locoregional recurrence (LRR). METHODS: Patients with stage 0-III breast cancer and NC-LCIS who underwent lumpectomy between January 2010 and January 2022 at a single institution were retrospectively identified. NC-LCIS margins were stratified as <2 mm, ≥2 mm, or within shave margin. Rates of IBTR and LRR were examined. RESULTS: A total of 511 female patients (median age 60 years [interquartile range (IQR) 52-69]) with NC-LCIS and an associated ipsilateral breast cancer with a median follow-up of 3.4 years (IQR 2.0-5.9) were identified. Final margins for NC-LCIS were ≥2 mm in 348 patients (68%), <2 mm in 37 (7.2%), and within shave margin in 126 (24.6%). Crude incidence of IBTR was 3.3% (n = 17) and that of LRR was 4.9% (n = 25). There was no difference in the crude rate of IBTR by NC-LCIS margin status (IBTR rate: 3.7% ≥2 mm, 0% <2 mm, 3.2% within shave margin, p = 0.8) nor in LRR (LRR rate: 4.9% ≥2 mm, 2.7% <2 mm, 5.6% within shave margin, p = 0.9). CONCLUSIONS: For completely excised invasive breast cancers associated with NC-LCIS, extent of margin width for NC-LCIS was not associated with a difference in IBTR or LRR. These data suggest that the decision to perform reexcision of margin after lumpectomy should be driven by the invasive cancer, rather than the NC-LCIS margin.

HOPE: A Pilot Study of Psilocybin Enhanced Group Psychotherapy in Patients With Cancer.

CONTEXT/OBJECTIVES: Psilocybin-assisted psychotherapy shows promise in treating depression and existential distress in people with serious medical illness. However, its individual-based methodology poses challenges for scaling and resource availability. The HOPE trial (A Pilot Study of Psilocybin Enhanced Group Psychotherapy in Patients with Cancer) is an Institutional Review Boards-approved open-label feasibility and safety pilot study examining psilocybin-assisted group therapy in cancer patients with a DSM-5 depressive disorder (including major depressive disorder as well as adjustment disorder with depressed mood). We report here the safety and clinical outcome measures including six-months follow up data. METHODS: Outcome measures were collected at baseline, two-weeks and 26-weeks postintervention. The study involved three group preparatory sessions, one high-dose (25 mg) group psilocybin session, and three group integration sessions with cohorts of four participants over a three-week intervention. RESULTS: Twelve participants completed the trial. no serious adverse events attributed to psilocybin occurred. The primary clinical outcome measures of change in symptoms of depression on the clinician administered 17-item-HAM-D showed clinically substantial decrease in HAM-D scores from baseline to the two-week timepoint (21.5-10.09, P < 0.001) and the 26-week timepoint (21.5-14.83, P = 0.006). Six out of 12 participants met criteria for remission at two weeks, as defined by HAM-D < 7, three out 12 demonstrated a clinically significant change (4-6 points), and eight out of twelve demonstrated a clinically substantial change (7-12 points). CONCLUSION: This pilot study demonstrated the safety, feasibility, and possible efficacy of psilocybin-assisted group therapy for cancer patients dealing with depressive symptoms. Based on demonstrated efficacy and significant reductions in therapist time, future investigations with the group therapy model are warranted.

Moderating Effect of Work on Burden and Hospice Family Caregiver Well-Being.

Background: Hospice family caregiving is often physically and emotionally taxing, but it is unclear how employment status impacts hospice caregiver burden and well-being. Objective(s): To examine the relationship between caregiver burden and well-being, and the moderating role of employment status (i.e., working, not working). Design, Setting/Subjects: This was a secondary data analysis of baseline data from a longitudinal observational study of family caregivers of home hospice cancer patients in the United States. Descriptive statistics, correlations, hierarchical linear regressions, and moderation analyses were used. Measurements: Baseline data included demographics, preparedness for caregiving, perceived burden, and well-being (i.e., global health, positive affect and well-being, anxiety, depression). Results: The majority of the 90 participants were White (86.7%), married (71.1%), and college educated (85.6%). The mean age was 58.27 ± 14.22, 53.3% cared for a spouse, and 56.6% worked full or part time. After controlling for demographics, and using employment status as a moderator, greater caregiver burden was significantly associated with lower global health (ß = -0.82 [-1.22 to -0.42], p < 0.001), positive affect and well-being scores (ß = -0.69 [-1.03 to -0.36], p < 0.001), and higher depression (ß = 0.24 [0.12-0.37], p < 0.001) and anxiety scores (ß = 0.22 [0.07-0.37], p < 0.005). Employment status significantly moderated the relationship between burden and global health (ß = 0.65 [0.22 to 1.08], p < 0.005), and burden and positive affect and well-being (ß = 0.45 [0.06 to 0.84], p < 0.05). At high levels of burden, workers had greater well-being than nonworkers. Conclusion(s): More burdened hospice caregivers may experience worse well-being, especially among nonworking caregivers. Employment may be a protective factor for highly burdened hospice family caregivers.

Axillary lymph node dissection: Dead or still alive?

Although sentinel lymph node biopsy is now the primary method of axillary staging and is therapeutic for patients with limited nodal disease, axillary lymph node dissection (ALND) is still necessary for staging in groups where sentinel lymph node biopsy has not been proven to be accurate and to maintain local control in those with a heavy axillary tumor burden. Additionally, newer approaches to systemic therapy tailored to risk level sometimes necessitate knowledge of the number of involved axillary nodes which can only be obtained with ALND. Ongoing trials will address whether there are additional circumstances where radiotherapy can replace ALND.

Family Caregiver Reports of Their Own and Patient Symptoms in Cancer Home Hospice Approaching End-of-Life.

Context: Family caregivers assume the primary responsibility of assessing and managing hospice cancer patient symptoms while simultaneously managing their own wellbeing and symptoms. Objectives: Describe caregivers' assessment of hospice cancer patient and their own symptoms during the last 60 days of patient life, and assess the relationship between patient and caregiver symptoms over time. Methods: Caregiver symptom report of self and cancer home hospice patient symptom data were collected via telephone in the final 60 days of patient life. Descriptive data on symptom severity and prevalence were summarized. Exploratory Factor Analysis was used to group individual symptoms. Factors representing patient symptoms, caregiver symptoms, and caregiver outlook were analyzed using mixed-effects analysis to determine relationships between factors and change in relationship between factors over time. Results: Data from 61 patient-caregiver dyads are presented. At least 1 day of moderate-to-severe symptoms were reported in the majority of dyads. Significant auto-regressive associations were found, namely previous factor scores for an individual positively predicted the next factor scores for that individual. Previous caregiver report of patient symptoms was also positively associated with the next report of caregiver symptoms; previous caregiver report of their own symptoms were negatively associated with their next report of patient symptoms. Patient and caregiver symptoms and caregiver outlook worsened over time and the relationship between patient and caregiver symptoms strengthened closer to death. Conclusion: Our findings may guide hospice care team responses to caregiver and patient symptoms to promote individual level and unit level functioning.

A Randomized, Double-Masked, Active-Controlled, Crossover Phase III Equivalence Study of Generic Dorzolamide 2% versus Innovator Trusopt® Eye Drop Solution in Subjects with Open-Angle Glaucoma or Ocular Hypertension.

Background: The aim of this study was to demonstrate the equivalence of generic dorzolamide 2% eye drops solution versus the innovator formulation (Trusopt® eye drops solution) in patients with open-angle glaucoma or ocular hypertension. Methods: This prospective, monocentric, double-masked, active-controlled crossover phase III study included 32 patients. After washout, patients were randomized to reference product (Trusopt®) or test product (dorzolamide 2% eye drops, Rompharm Company SRL) for a 4-week period. Subsequent washout and crossover were performed. Drops were applied t.i.d. The primary efficacy endpoint was the difference in mean diurnal IOP. Goldmann applanation tonometry was performed at 8 am, 12 pm, and 4 pm at each visit, and safety was assessed by documentation of adverse events (AEs). Therapy adherence was documented by self-reporting and eye drop bottle weighing. An ANOVA with treatment, sequence, study period, and patient within the sequence as effects was performed and an additional post hoc ANCOVA including the baseline IOP was also performed. Results: 34 patients were randomized and analyzed in the safety population. The per-protocol population included 32 patients. According to the self-report, all patients were >80% compliant. Under the ANCOVA model, the 90% confidence interval for the average change of the IOP -0.27 mmHg (-1.17 mmHg-0.64 mmHg) is included by the acceptance range -1.5 mmHg to +1.5 mmHg after excluding 2 patients, which had falsely reported high therapy adherence. No clinically relevant difference was observed in frequency or severity of the AEs between both treatments. Conclusions: This study showed the equivalence of the tested generic dorzolamide 2% eye drops solution to the reference product Trusopt® eye drops solution. Trial Registration. This trial is registered with (ClinicalTrials.gov (identifier: NCT00878917) on April 9, 2009).

Factors associated with changes in exercise behaviors during the COVID-19 pandemic.

PURPOSE: There is limited information on how the COVID-19 pandemic has changed health behaviors among cancer patients. We examined changes in exercise behaviors since the pandemic and identified characteristics associated with these changes among cancer patients. METHODS: Cancer patients (n = 1,210) completed a survey from August to September 2020 to assess COVID-19 pandemic-related changes in health behaviors and psychosocial factors. Patients were categorized into three groups: exercising less, exercising did not change, and exercising more. Patient characteristics were compared by exercise groups. RESULTS: One-third of the patients reported a decreased amount of regular exercise, while 10% reported exercising more during the pandemic. Patients who exercised less were more likely to be unemployed/retired and have poor health status and psychosocial stressors such as disruptions in daily life while less likely to be former smokers (all p < 0.05). In contrast, patients who exercised more were younger, had stage IV diagnosis, and also reported disruptions in daily life (all p < 0.05). Patients who were living in rural areas were also more likely not to experience changes in exercise habits (all p < 0.05), although rural-urban status was not identified as a strong predictor. CONCLUSION: A significant proportion of cancer patients experienced changes in exercise habits, especially exercising less, during the first 6 months of the COVID-19 pandemic. Age, employment status, tumor stage, health status, smoking status, and psychosocial factors were associated with changes in exercise behaviors. Our results highlight the importance of promoting physical activity guidelines for cancer survivorship during the COVID-19 pandemic and may help improve the identification of cancer patients susceptible to exercising less.

Development of a Machine Learning Model Using Limited Features to Predict 6-Month Mortality at Treatment Decision Points for Patients With Advanced Solid Tumors.

PURPOSE: Patients with advanced solid tumors may receive intensive treatments near the end of life. This study aimed to create a machine learning (ML) model using limited features to predict 6-month mortality at treatment decision points (TDPs). METHODS: We identified a cohort of adults with advanced solid tumors receiving care at a major cancer center from 2014 to 2020. We identified TDPs for new lines of therapy (LoTs) and confirmed mortality at 6 months after a TDP. Using extreme gradient boosting, ML models were developed, which used or derived features from a limited set of electronic health record data considering the literature, clinical relevance, variability, availability, and predictive importance using Shapley additive explanations scores. We predicted and observed 6-month mortality after a TDP and assessed a risk stratification strategy with different risk thresholds to support communication of chance of survival. RESULTS: Four thousand one hundred ninety-two patients were included. Patients had 7,056 TDPs, for which the 6-month mortality increased from 17.9% to 46.7% after starting first to sixth LoT, respectively. On the basis of internal validation, models using both 111 (Full) or 45 (Limited-45) features accurately predicted 6-month mortality (area under the curve ≥ 0.80). Using a 0.3 risk threshold in the Limited-45 model, the observed 6-month survival was 34% (95% CI, 28 to 40) versus 81% (95% CI, 81 to 82) among those classified with low or higher chance of survival, respectively. The positive predictive value of the Limited-45 model was 0.66 (95% CI, 0.60 to 0.72). CONCLUSION: We developed and validated a ML model using a limited set of 45 features readily derived from electronic health record data to predict 6-month prognosis in patients with advanced solid tumors. The model output may support shared decision making as patients consider the next LoT.

Impact of the COVID-19 pandemic on rural and urban cancer patients' experiences, health behaviors, and perceptions.

PURPOSE: The COVID-19 pandemic has disrupted many facets of life. We evaluated pandemic-related health care experiences, COVID-19 prevention behaviors and measures, health behaviors, and psychosocial outcomes among rural and urban cancer patients. METHODS: Among 1,472 adult cancer patients, who visited Huntsman Cancer Institute in the past 4 years and completed a COVID-19 survey (August-September 2020), we assessed the impact of the pandemic on medical appointments, prevention/health behaviors, and psychosocial factors, stratified by urbanicity. FINDINGS: Mean age was 61 years, with 52% female, 97% non-Hispanic White, and 27% were residing in rural areas. Rural versus urban patients were more likely to be older, not employed, uninsured, former/current smokers, consume alcohol, and have pandemic-related changes/cancellations in surgery appointments (all P<.05). Changes/cancellations in other health care access (eg, doctor's visits) were also common, particularly among urban patients. Urban versus rural patients were more likely to socially distance, use masks and hand sanitizer, and experience changes in exercise habits and in their daily lives (all P<.05). Less social interaction and financial stress were common among cancer patients but did not differ by urbanicity. CONCLUSIONS: These findings suggest that the COVID-19 pandemic had a substantial impact on cancer patients, with several challenges specific to rural patients. This comprehensive study provides unique insights into the first 6 months of COVID-19 pandemic-related experiences and continuity of care among rural and urban cancer patients predominantly from Utah. Further research is needed to better characterize the pandemic's short- and long-term effects on rural and urban cancer patients and appropriate interventions.

A human breast cancer-derived xenograft and organoid platform for drug discovery and precision oncology.

Models that recapitulate the complexity of human tumors are urgently needed to develop more effective cancer therapies. We report a bank of human patient-derived xenografts (PDXs) and matched organoid cultures from tumors that represent the greatest unmet need: endocrine-resistant, treatment-refractory and metastatic breast cancers. We leverage matched PDXs and PDX-derived organoids (PDxO) for drug screening that is feasible and cost-effective with in vivo validation. Moreover, we demonstrate the feasibility of using these models for precision oncology in real time with clinical care in a case of triple-negative breast cancer (TNBC) with early metastatic recurrence. Our results uncovered a Food and Drug Administration (FDA)-approved drug with high efficacy against the models. Treatment with this therapy resulted in a complete response for the individual and a progression-free survival (PFS) period more than three times longer than their previous therapies. This work provides valuable methods and resources for functional precision medicine and drug development for human breast cancer.

Influence of endocrine multidisciplinary tumor board on patient management and treatment decision making.

BACKGROUND: Multidisciplinary Tumor Boards (MDT) are used to obtain input regarding cancer management. This study assessed the impact of our institutional Endocrine MDT. METHODS: MDT notes on patients with thyroid cancer treated during 2012-2018 were abstracted retrospectively from the electronic medical record. Management change (MC) was prospectively collected by the MDT coordinator. Biannual evaluations reviewed the impact of the MDT as observed by attendees. RESULTS: MC was recommended in 47 (15%) of 286 presentations, with additional imaging being the most frequent (43%). Presentation of recurrences were more likely to result in MC (24% vs. 13% initial, p = 0.03). Overall, 98% of attendees found the conference exceeded educational expectations. About 24% reported intending to use a more evidence/guideline-based approach after attending and this trend increased over time (p = 0.002). CONCLUSION: MDT presentations led to a higher rate of MC particularly in recurrent TC patients and increased evidenced-based practice for attendees.