Internal Medicine Residents' Perceptions of Their Continuity Clinic Training.

OBJECTIVES: Internal Medicine (IM) residents have reported dissatisfaction with continuity clinic (CC) training, which may contribute to the increasing shortage of primary care physicians. Studies show balancing inpatient and outpatient duties as a driver of dissatisfaction, but few studies have compared CC with inpatient (IP) training, following transition to an X + Y model, or assessed the impact of show rates, continuity, and telemedicine use on resident perceptions. The aim of this study was to adapt a validated survey to compare residents' perceptions of their CC with their inpatient medicine training and examine the impact of objective clinic measures on training. METHODS: This quantitative cross-sectional study included a survey that was sent to 152 residents at an academic IM program in May-June 2021. Clinic measures such as show versus no-show rates, continuity with the residents' own patients, and visit modality were obtained through the electronic health records at Veterans Affairs and non-Veterans Affairs CCs. RESULTS: The survey response rate was 78% (118/152). Residents were more satisfied with inpatient general medicine rotations than their CC experience (4.5 vs 3.3 on a 5-point scale, P < 0.001). Residents were more likely to pursue a profession in inpatient IM than in primary care (3.7 vs 2.3, P < 0.001). No correlation was found between higher show rates, continuity with patients, or proportion of visits conducted through telemedicine and resident satisfaction with CC. CONCLUSIONS: This study aligns with previous findings of IM resident dissatisfaction with CC training while adding a side-by-side comparison to inpatient training and including objective CC data. We identified new areas for improvement of CC training, including residents' medical knowledge through review of quality metrics, making CC representative of real-world practice, and mentorship from faculty.

Chimeric Antigen Receptor T-Cell Therapy: Reach to Solid Tumor Experience.

Chimeric antigen receptor (CAR) modified T-cell therapy, a unique platform technology highlighting precision medicine through utilization of molecular biology and cell-based therapeutics has shown unprecedented rates in patients with hematological malignancies such as acute lymphocyte leukemia, non-Hodgkin's lymphoma and multiple myeloma (MM). With the approval of CD19-targeted CAR T-cells by the Food and Drug Administration in acute lymphoblastic leukemia (ALL) and NHL, this technology is positioned for aggressive expansion to combination therapeutic opportunities and proof of principle towards utility in other malignant disorders. However, despite the impressive results seen with hematological malignancies, CAR T-cells have shown limited efficacy in solid tumors with several unsuccessful preclinical studies. Regardless, these attempts have provided us with a better understanding of the imminent challenges specific to solid tumors even if they have not so far led to expanded clinical treatment opportunities outside ALL/NHL/MM. This review summarizes our current understanding of CAR T-cell mechanism of action, while presenting the major limitations of CAR T-cell derived treatments in solid tumors. We further discuss recent findings and present new potential strategies to overcome the challenges facing solid tumor targeting by CAR T-cell platforms.

Quantitation of Intra-peritoneal Ovarian Cancer Metastasis.

Epithelial ovarian cancer (EOC) is the leading cause of death from gynecologic malignancy in the United States. Mortality is due to diagnosis of 75% of women with late stage disease, when metastasis is already present. EOC is characterized by diffuse and widely disseminated intra-peritoneal metastasis. Cells shed from the primary tumor anchor in the mesothelium that lines the peritoneal cavity as well as in the omentum, resulting in multi-focal metastasis, often in the presence of peritoneal ascites. Efforts in our laboratory are directed at a more detailed understanding of factors that regulate EOC metastatic success. However, quantifying metastatic tumor burden represents a significant technical challenge due to the large number, small size and broad distribution of lesions throughout the peritoneum. Herein we describe a method for analysis of EOC metastasis using cells labeled with red fluorescent protein (RFP) coupled with in vivo multispectral imaging. Following intra-peritoneal injection of RFP-labelled tumor cells, mice are imaged weekly until time of sacrifice. At this time, the peritoneal cavity is surgically exposed and organs are imaged in situ. Dissected organs are then placed on a labeled transparent template and imaged ex vivo. Removal of tissue auto-fluorescence during image processing using multispectral unmixing enables accurate quantitation of relative tumor burden. This method has utility in a variety of applications including therapeutic studies to evaluate compounds that may inhibit metastasis and thereby improve overall survival.

Obesity Contributes to Ovarian Cancer Metastatic Success through Increased Lipogenesis, Enhanced Vascularity, and Decreased Infiltration of M1 Macrophages.

Epithelial ovarian cancer (EOC) is the leading cause of death from gynecologic malignancy, with high mortality attributable to widespread intraperitoneal metastases. Recent meta-analyses report an association between obesity, ovarian cancer incidence, and ovarian cancer survival, but the effect of obesity on metastasis has not been evaluated. The objective of this study was to use an integrative approach combining in vitro, ex vivo, and in vivo studies to test the hypothesis that obesity contributes to ovarian cancer metastatic success. Initial in vitro studies using three-dimensional mesomimetic cultures showed enhanced cell-cell adhesion to the lipid-loaded mesothelium. Furthermore, in an ex vivo colonization assay, ovarian cancer cells exhibited increased adhesion to mesothelial explants excised from mice modeling diet-induced obesity (DIO), in which they were fed a "Western" diet. Examination of mesothelial ultrastructure revealed a substantial increase in the density of microvilli in DIO mice. Moreover, enhanced intraperitoneal tumor burden was observed in overweight or obese animals in three distinct in vivo models. Further histologic analyses suggested that alterations in lipid regulatory factors, enhanced vascularity, and decreased M1/M2 macrophage ratios may account for the enhanced tumorigenicity. Together, these findings show that obesity potently affects ovarian cancer metastatic success, which likely contributes to the negative correlation between obesity and ovarian cancer survival.

Correlation of X-ray computed tomography with quantitative nuclear magnetic resonance methods for pre-clinical measurement of adipose and lean tissues in living mice.

Numerous obesity studies have coupled murine models with non-invasive methods to quantify body composition in longitudinal experiments, including X-ray computed tomography (CT) or quantitative nuclear magnetic resonance (QMR). Both microCT and QMR have been separately validated with invasive techniques of adipose tissue quantification, like post-mortem fat extraction and measurement. Here we report a head-to-head study of both protocols using oil phantoms and mouse populations to determine the parameters that best align CT data with that from QMR. First, an in vitro analysis of oil/water mixtures was used to calibrate and assess the overall accuracy of microCT vs. QMR data. Next, experiments were conducted with two cohorts of living mice (either homogenous or heterogeneous by sex, age and genetic backgrounds) to assess the microCT imaging technique for adipose tissue segmentation and quantification relative to QMR. Adipose mass values were obtained from microCT data with three different resolutions, after which the data were analyzed with different filter and segmentation settings. Strong linearity was noted between the adipose mass values obtained with microCT and QMR, with optimal parameters and scan conditions reported herein. Lean tissue (muscle, internal organs) was also segmented and quantified using the microCT method relative to the analogous QMR values. Overall, the rigorous calibration and validation of the microCT method for murine body composition, relative to QMR, ensures its validity for segmentation, quantification and visualization of both adipose and lean tissues.