The immunoglobulin superfamily ligand B7H6 subjects T cell responses to NK cell surveillance.

Understanding the mechanisms that regulate T cell immunity is critical for the development of effective therapies for diseases associated with T cell dysfunction, including autoimmune diseases, chronic infections, and cancer. Co-inhibitory "checkpoint molecules," such as programmed cell death protein-1, balance excessive or prolonged immune activation by T cell-intrinsic signaling. Here, by screening for mediators of natural killer (NK) cell recognition on T cells, we identified the immunoglobulin superfamily ligand B7H6 to be highly expressed by activated T cells, including patient-infused CD19-targeting chimeric antigen receptor (CAR) T cells. Unlike other checkpoint molecules, B7H6 mediated NKp30-dependent recognition and subsequent cytolysis of activated T cells by NK cells. B7H6+ T cells were prevalent in the tissue and blood of several diseases, and their abundance in tumor tissue positively correlated with clinical response in a cohort of patients with immune checkpoint inhibitor-treated esophageal cancer. In humanized mouse models, NK cell surveillance via B7H6 limited the persistence and antitumor activity of CAR T cells, and its genetic deletion enhanced T cell proliferation and persistence. Together, we provide evidence of B7H6 protein expression by activated T cells and suggest the B7H6-NKp30 axis as a therapeutically actionable NK cell-dependent immune checkpoint that regulates human T cell function.

Adagrasib Treatment After Sotorasib-Related Hepatotoxicity in Patients With KRASG12C-Mutated Non-Small Cell Lung Cancer: A Case Series and Literature Review.

PURPOSE: KRAS is the most commonly mutated driver oncogene in non-small cell lung cancer (NSCLC). Sotorasib and adagrasib, KRASG12C inhibitors, have been granted accelerated US approval; however, hepatotoxicity is a common side effect with higher rates in patients treated with sotorasib proximal to checkpoint inhibitor (CPI) therapy. The aim of this study was to assess the feasibility and safety of adagrasib after discontinuation of sotorasib because of treatment-related grade 3 hepatotoxicity through real-world and clinical cases. METHODS: Medical records from five patients treated in real-world settings were retrospectively reviewed. Patients had locally advanced or metastatic KRASG12C-mutated NSCLC and received adagrasib after sotorasib in the absence of extracranial disease progression. Additional data were collected for 12 patients with KRASG12C-mutated NSCLC enrolled in a phase Ib cohort of the KRYSTAL-1 study and previously treated with sotorasib. The end points associated with both drugs included timing and severity of hepatotoxicity, best overall response, and duration of therapy. RESULTS: All patients were treated with CPIs followed by sotorasib (initiated 0-64 days after CPI). All five real-world patients experienced hepatotoxicity with sotorasib that led to treatment discontinuation, whereas none experienced treatment-related hepatotoxicity with subsequent adagrasib treatment. Three patients from KRYSTAL-1 transitioned from sotorasib to adagrasib because of hepatotoxicity; one experienced grade 3 ALT elevation on adagrasib that resolved with therapy interruption and dose reduction. CONCLUSION: Adagrasib may have a distinct hepatotoxicity profile from sotorasib and is more easily combined with CPIs either sequentially or concurrently. These differences may be used to inform clinical decisions regarding an initial KRASG12C inhibitor for patients who recently discontinued a CPI or experience hepatotoxicity on sotorasib.

The Impact of the Comprehensive Unit-Based Safety Program on the Perioperative Efficiency and Patient Safety of Adult Hip and Knee Arthroplasty Procedures: Retrospective Comparative Study.

BACKGROUND: The complexity of health care delivery systems presents a unique challenge for the perioperative space. In the area of arthroplasty procedures, the shift of complex patients into ambulatory surgery centers and reimbursement that is no longer commensurate with the inflated costs of performing these procedures have created difficulties for hospitals and physicians alike. Thus, there is a critical need to optimize perioperative workflows while maintaining high-quality care provision. METHODS: Our institution implemented the Comprehensive Unit-based Safety Program (CUSP) to improve the quality and efficiency of total knee and hip arthroplasties (TKAs and THAs). This initiative involved extensive collaboration with clinical and administrative teams, as well as 5 intervention-driven workgroups. First-case on-time start rates and duration of first-case delays, case length, anesthesia preparation, in-room patient preparation, operation, patient exit, and room turnover after CUSP implementation were analyzed using independent samples median testing, Mann-Whitney U testing, and a percentage-point difference calculation. RESULTS: After CUSP arthroplasty implementation, first-case on-time start rates increased from 43 to 81%. Statistically significant decreases were observed in median times for first-case delays, case length, in-room patient preparation, operation, patient exit, and room turnover for TKAs and THAs, but not anesthesia preparation. CONCLUSIONS: The implementation of CUSP arthroplasty for TKAs and THAs resulted in significant improvements in nearly all efficiency metrics, as well as preventions of patient safety missteps. These results exemplify the versatility of CUSP as a quality improvement method that can maintain patient safety and perioperative efficiency in the arthroplasty service of a large-scale medical center. LEVEL OF EVIDENCE: III.

Pediatric Community-Acquired Brain Abscesses: A Single-center Retrospective Study.

The European Society for Clinical Microbiology and Infectious Diseases recommends 3rd generation cephalosporins and metronidazole for empirical treatment of community-acquired brain abscesses. In 53 retrospectively analyzed pediatric patients with community-acquired brain abscesses at a German University Hospital Staphylococcus aureus was identified as a relevant pathogen (21%). Therefore, it may be reasonable to cover S. aureus when selecting empirical therapy.

Handling time-varying treatments in observational studies: A scoping review and recommendations.

OBJECTIVE: Time-varying treatments are common in observational studies. However, when assessing treatment effects, the methodological framework has not been systematically established for handling time-varying treatments. This study aimed to examine the current methods for dealing with time-varying treatments in observational studies and developed practical recommendations. METHODS: We searched PubMed from 2000 to 2021 for methodological articles about time-varying treatments, and qualitatively summarized the current methods for handling time-varying treatments. Subsequently, we developed practical recommendations through interactive internal group discussions and consensus by a panel of external experts. RESULTS: Of the 36 eligible reports (22 methodological reviews, 10 original studies, 2 tutorials and 2 commentaries), most examined statistical methods for time-varying treatments, and only a few discussed the overarching methodological process. Generally, there were three methodological components to handle time-varying treatments. These included the specification of treatment which may be categorized as three scenarios (i.e., time-independent treatment, static treatment regime, or dynamic treatment regime); definition of treatment status which could involve three approaches (i.e., intention-to-treat, per-protocol, or as-treated approach); and selection of analytic methods. Based on the review results, a methodological workflow and a set of practical recommendations were proposed through two consensus meetings. CONCLUSIONS: There is no consensus process for assessing treatment effects in observational studies with time-varying treatments. Previous efforts were dedicated to developing statistical methods. Our study proposed a stepwise workflow with practical recommendations to assist the practice.

Evaluating compliance with the best practice guidelines for wrong-level surgery prevention in high-risk pediatric spine surgery.

PURPOSE: In 2018, Best Practice Guidelines (BPGs) were published for preventing wrong-level surgery in pediatric spinal deformity, but successful implementation has not been established. The purpose of this study was to evaluate BPG compliance 5 years after publication. We hypothesized higher compliance among BPG authors and among surgeons with more experience, higher caseload, and awareness of the BPGs. METHODS: We queried North American and European surgeons, authors and nonauthors, and members of pediatric spinal study groups on adherence to BPGs using an anonymous survey consisting of 18 Likert scale questions. Respondents provided years in practice, yearly caseload, and guideline awareness. Mean compliance scores (MCS) were developed by correlating Likert responses with MCS scores ("None of the time" = no compliance = MCS 0, "Sometimes" = weak to moderate = MCS 1, "Most of the time" = high = MCS 2, and "All the time" = perfect = MCS 3). RESULTS: Of the 134 respondents, 81.5% reported high or perfect compliance. Average MCS for all guidelines was 2.4 ± 0.4. North American and European surgeons showed no compliance differences (2.4 vs. 2.3, p = 0.07). Authors and nonauthors showed significantly different compliance scores (2.8 vs 2.4, p < 0.001), as did surgeons with and without knowledge of the BPGs (2.5 vs 2.2, p < 0.001). BPG awareness and compliance showed a moderate positive correlation (r = 0.48, p < 0.001), with non-significant associations between compliance and both years in practice (r = 0.41, p = 0.64) and yearly caseload (r = 0.02, p = 0.87). CONCLUSION: Surgeons reported high or perfect compliance 81.5% of the time with BPGs for preventing wrong-level surgery. Authorship and BPG awareness showed increased compliance. Location, study group membership, years in practice, and yearly caseload did not affect compliance. LEVEL OF EVIDENCE: Level V-expert opinion.

Machine-learning Algorithm-based Risk Prediction and Screening-detected Prostate Cancer in A Benign Prostate Hyperplasia Cohort.

BACKGROUND/AIM: Prostate cancer (PCa) is lethal. Our aim in this retrospective cohort study was to use machine learning-based methodology to predict PCa risk in patients with benign prostate hyperplasia (BPH), identify potential risk factors, and optimize predictive performance. PATIENTS AND METHODS: The dataset was extracted from a clinical information database of patients at a single institute from January 2000 to December 2020. Patients newly diagnosed with BPH and prescribed alpha blockers/5-alpha-reductase inhibitors were enrolled. Patients were excluded if they had a previous diagnosis of any cancer or were diagnosed with PCa within 1 month of enrolment. The study endpoint was PCa diagnosis. The study utilized the extreme gradient boosting (XGB), support vector machine (SVM) and K-nearest neighbors (KNN) machine-learning algorithms for analysis. RESULTS: The dataset used in this study included 5,122 medical records of patients with and without PCa, with 19 patient characteristics. The SVM and XGB models performed better than the KNN model in terms of accuracy and area under curve. Local interpretable model-agnostic explanation and Shapley additive explanations analysis showed that body mass index (BMI) and late prostate-specific antigen (PSA) were important features for the SVM model, while PSA velocity, late PSA, and BMI were important features for the XGB model. Use of 5-alpha-reductase inhibitor was associated with a higher incidence of PCa, with similar survival outcomes compared to non-users. CONCLUSION: Machine learning can enhance personalized PCa risk assessments for patients with BPH but more research is necessary to refine these models and address data biases. Clinicians should use them as supplementary tools alongside traditional screening methods.

Protocol of the development of a core outcome set for stroke in multidimensional value assessment of traditional Chinese medicine.

INTRODUCTION: Stroke is the most common cause of death in China. In Chinese clinical practise, traditional Chinese medicine (TCM) and integrative medicine have been widely used as adjuvant therapies for the treatment of stroke. However, their clinical effectiveness, particularly their clinical value, has been inconsistent in the literature mainly because various outcome measures have been used and reported in clinical research. Hence, obtaining a comprehensive list of outcomes for TCM value assessment is crucial for a multidimensional value assessment. Therefore, the main objective of this protocol was to develop an outcome set used in health technology assessment (HTA) decision-making for TCM treatment of stroke. METHODS AND ANALYSIS: The outcome set will be developed in four phases: (1) we will perform a systematic literature review to identify candidate outcomes that have been previously measured in published studies; (2) we will develop a comprehensive list of outcome measures by conducting a multistakeholder semistructured interview; (3) we will conduct two-round Delphi surveys to prioritise outcomes for each HTA domain; and (4) we will finalise the outcome sets by holding a ratification meeting with multiple stakeholder groups. The developed outcome set should be measured and reported as the minimum set of outcomes for HTA assessment for the TCM treatment of acute ischaemic stroke (AIS). ETHICS AND DISSEMINATION: This protocol was reviewed and approved by the Institutional Review Board of the Minhang Hospital of Fudan University. Our findings will be shared at academic conferences and in peer-reviewed publications.

Nephroscope-assisted single trocar peritoneal dialysis catheter insertion improves catheter survival compared with laparoscopic technique: Ten-year experience of a single-center.

BACKGROUND: An ideal technique for peritoneal dialysis (PD) catheter insertion should provide a long-term functioning catheter until permanent renal replacement therapy becomes available. We developed a technique using the nephroscope-assisted single-trocar approach in 2011. In this study, we report the outcomes, learning curve analysis and cost-effectiveness analysisof the nephroscopic approach compared with the traditional laparoscopic approach. METHOD: Between January 2005 and December 2020, we retrospectively reviewed 511 patients who received PD catheter insertions using the laparoscopic or nephroscopic approach. We compared the baseline characteristics of the patients, surgical outcomes, and complications of the two groups. We further analyzed the nephroscopic group to determine the cost-effectiveness analysis, learning curve and the complication frequency between the learning and mastery periods of the nephroscopic approach. RESULTS: A total of 208 patients underwent laparoscopic PD catheter insertion, whereas 303 patients received nephroscopic surgery. The median catheter survival in the nephroscopic group is significantly longer (43.1 vs. 60.5 months, p = 0.019). The incidence of peritonitis (29.3% vs.20.8%, p = 0.035) and exit site infection (12.5% vs. 6.6%, p = 0.019) were significantly lower in the nephroscopic group. The cost-effectiveness analysis showed a medical expense reduction of 16000 USD annually by using the nephroscopic technique. There was no difference in the frequency of surgical complications between the learning and mastery phases when examining the learning curve analysis for the nephroscopic technique. CONCLUSIONS: Compared with the traditional laparoscopic approach, the nephroscopic technique effectively prolonged catheter survival and reduces health care cost by reducing infectious complications. The low complication rate during the learning phase of surgery makes the procedure safe for patients and surgeons.

Propionyl-CoA carboxylase subunit B regulates anti-tumor T cells in a pancreatic cancer mouse model.

Most human pancreatic ductal adenocarcinoma (PDAC) are not infiltrated with cytotoxic T cells and are highly resistant to immunotherapy. Over 90% of PDAC have oncogenic KRAS mutations, and phosphoinositide 3-kinases (PI3Ks) are direct effectors of KRAS. Our previous study demonstrated that ablation of Pik3ca in KPC (KrasG12D; Trp53R172H; Pdx1-Cre) pancreatic cancer cells induced host T cells to infiltrate and completely eliminate the tumors in a syngeneic orthotopic implantation mouse model. Now, we show that implantation of Pik3ca-/- KPC (named αKO) cancer cells induces clonal expansion of cytotoxic T cells infiltrating the pancreatic tumors. To identify potential molecules that can regulate the activity of these anti-tumor T cells, we conducted an in vivo genome-wide gene-deletion screen using αKO cells implanted in the mouse pancreas. The result shows that deletion of propionyl-CoA carboxylase subunit B gene (Pccb) in αKO cells (named p-αKO) leads to immune evasion, tumor progression and death of host mice. Surprisingly, p-αKO tumors are still infiltrated with clonally expanded CD8+ T cells but they are inactive against tumor cells. However, blockade of PD-L1/PD1 interaction reactivated these clonally expanded T cells infiltrating p-αKO tumors, leading to slower tumor progression and improve survival of host mice. These results indicate that Pccb can modulate the activity of cytotoxic T cells infiltrating some pancreatic cancers and this understanding may lead to improvement in immunotherapy for this difficult-to-treat cancer.

Evaluating compliance with the 2013 best practice guidelines for preventing surgical site infection in high-risk pediatric spine surgery.

PURPOSE: Best Practice Guidelines (BPGs) were published one decade ago to decrease surgical site infection (SSI) in pediatric spinal deformity. Successful implementation has not been established. This study evaluated surgeon compliance with items on the BPG. We hypothesized that BPG authors and surgeons with more experience, higher caseload, and awareness of the BPG would have higher compliance. METHODS: We queried North American and European surgeons, authors and non-authors, and members of various spine study groups on adherence to BPGs using an anonymous survey. Mean compliance scores (MCSs) were developed by correlating Likert responses with MCSs ("None of the time" = no compliance = MCS 0, "Sometimes" = weak to moderate = MCS 1, "Most of the time" = high = MCS 2, "All the time" = perfect = MCS 3). RESULTS: Of the 142 respondents, 73.7% reported high or perfect compliance. Average compliance scores for all guidelines was 2.2 ± 0.4. There were significantly different compliance scores between North American and European surgeons (2.3 vs 1.8, p < 0.001), authors and non-authors (2.5 vs. 2.2, p = 0.023), and surgeons with and without knowledge of the BPGs (2.3 vs. 1.8, p < 0.001). There was a weak correlation between BPG awareness and compliance (r = 0.34, p < 0.001) and no correlation between years in practice (r = 0.0, p = 0.37) or yearly caseload (r = 0.2, p = 0.78) with compliance. CONCLUSIONS: Compliance among our cohort of surgeons surveyed was high. North American surgeons, authors of the BPGs and those aware of the guidelines had increased compliance. Participation in a spine study group, years in practice, and yearly caseload were not associated with compliance. LEVEL OF EVIDENCE: Level V-expert opinion.

Reporting, handling, and interpretation of time-varying drug treatments in observational studies using routinely collected healthcare data.

BACKGROUND: Time-varying drug treatments are common in studies using routinely collected health data (RCD) for assessing treatment effects. This study aimed to examine how these studies reported, handled, and interpreted time-varying drug treatments. METHODS: A systematic search was conducted on PubMed from 2018 to 2020. Eligible studies were those used RCD to explore drug treatment effects. We summarized the reporting characteristics and methods employed for handling time-varying treatments. Logistic regressions were performed to investigate the association between study characteristics and the reporting of time-varying treatments. RESULTS: Two hundred and fifty-six studies were included, and 225 (87.9%) studies involved time-varying treatments. Of these, 24 (10.7%) reported the proportion of time-varying treatments and 105 (46.7%) reported methods used to handle time-varying treatments. Multivariable logistic regression showed that medical studies, prespecified protocol, and involvement of methodologists were associated with a higher likelihood of reporting the methods applied to handle time-varying treatments. Among the 105 studies that reported methods, as-treated analyses were the most commonly used analysis sets, which were employed in 73.9%, 75.3% and 88.2% of studies that reported approaches for treatment discontinuation, treatment switching and treatment add-on. Among the 225 studies involved time-varying treatments, 27 (12.0%) acknowledged the potential bias introduced by treatment change, of which 14 (51.9%) suggested that potential biases may impact acceptance or rejection of the null hypothesis. CONCLUSIONS: Among observational studies using RCD, the underreporting about the presence and methods for handling time-varying treatments was largely common. The potential biases due to time-varying treatments have frequently been disregarded. Collaborative endeavors are strongly needed to enhance the prevailing practices.

Comparative Survival Analysis of Dialysis and Renal Transplantation in HBV-Infected End-Stage Renal Disease Patients.

BACKGROUND: The potential risks and benefits of kidney transplantation in patients with end-stage renal disease (ESRD) infected with hepatitis B virus (HBV) have been a subject of debate. This study aimed to provide real-world data on the relative risks of death and clinical outcomes associated with kidney transplantation in this context. METHODS: We conducted a longitudinal cohort study using the National Health Insurance Research Database from 1997 to 2013, extracting cohorts of patients who are HBV-infected ESRD. The main outcome measure was overall survival, whereas the secondary measure was the relative risk of death and survival benefit through propensity-score matching (1:1). RESULTS: Of the 4895 patients who are HBV-infected with ESRD, 172 renal transplant recipients were enrolled for analysis. There was a numeric trend towards higher overall survival rates in renal transplant recipients, although this was not statistically significant (P = .057). A significant survival benefit was observed in the renal transplant group if the follow-up was longer than one year (P = 0.007). The relative risks of death among renal transplant recipients were initially higher at 2.0 times that of patients on chronic dialysis, presenting in a hyperbolic pattern with equal risks at 462 days. The likelihood of survival became equal until 1649 days. CONCLUSIONS: Our study suggests that kidney transplantation may be a viable option for patients who are HBV-infected with ESRD, given the significant improvement in quality of life and reduction of death risks observed four to five years after successful transplantation. This real-world data can help clinicians make informed decisions regarding the management of ESRD in patients who are HBV-infected.

Distinct functions of EHMT1 and EHMT2 in cancer chemotherapy and immunotherapy.

EHTM1 (GLP) and EHMT2 (G9a) are closely related protein lysine methyltransferases often thought to function together as a heterodimer to methylate histone H3 and non-histone substrates in diverse cellular processes including transcriptional regulation, genome methylation, and DNA repair. Here we show that EHMT1/2 inhibitors cause ATM-mediated slowdown of replication fork progression, accumulation of single-stranded replication gaps, emergence of cytosolic DNA, and increased expression of STING. EHMT1/2 inhibition strongly potentiates the efficacy of alkylating chemotherapy and anti-PD-1 immunotherapy in mouse models of tripe negative breast cancer. The effects on DNA replication and alkylating agent sensitivity are largely caused by the loss of EHMT1-mediated methylation of LIG1, whereas the elevated STING expression and remarkable response to immunotherapy appear mainly elicited by the loss of EHMT2 activity. Depletion of UHRF1, a protein known to be associated with EHMT1/2 and LIG1, also induces STING expression, and depletion of either EHMT2 or UHRF1 leads to demethylation of specific CpG sites in the STING1 promoter, suggestive of a distinct EHMT2-UHRF1 axis that regulates DNA methylation and gene transcription. These results highlight distinct functions of the two EHMT paralogs and provide enlightening paradigms and corresponding molecular basis for combination therapies involving alkylating agents and immune checkpoint inhibitors.

Assessment of Resident and AI Chatbot Performance on the University of Toronto Family Medicine Residency Progress Test: Comparative Study.

BACKGROUND: Large language model (LLM)-based chatbots are evolving at an unprecedented pace with the release of ChatGPT, specifically GPT-3.5, and its successor, GPT-4. Their capabilities in general-purpose tasks and language generation have advanced to the point of performing excellently on various educational examination benchmarks, including medical knowledge tests. Comparing the performance of these 2 LLM models to that of Family Medicine residents on a multiple-choice medical knowledge test can provide insights into their potential as medical education tools. OBJECTIVE: This study aimed to quantitatively and qualitatively compare the performance of GPT-3.5, GPT-4, and Family Medicine residents in a multiple-choice medical knowledge test appropriate for the level of a Family Medicine resident. METHODS: An official University of Toronto Department of Family and Community Medicine Progress Test consisting of multiple-choice questions was inputted into GPT-3.5 and GPT-4. The artificial intelligence chatbot's responses were manually reviewed to determine the selected answer, response length, response time, provision of a rationale for the outputted response, and the root cause of all incorrect responses (classified into arithmetic, logical, and information errors). The performance of the artificial intelligence chatbots were compared against a cohort of Family Medicine residents who concurrently attempted the test. RESULTS: GPT-4 performed significantly better compared to GPT-3.5 (difference 25.0%, 95% CI 16.3%-32.8%; McNemar test: P<.001); it correctly answered 89/108 (82.4%) questions, while GPT-3.5 answered 62/108 (57.4%) questions correctly. Further, GPT-4 scored higher across all 11 categories of Family Medicine knowledge. In 86.1% (n=93) of the responses, GPT-4 provided a rationale for why other multiple-choice options were not chosen compared to the 16.7% (n=18) achieved by GPT-3.5. Qualitatively, for both GPT-3.5 and GPT-4 responses, logical errors were the most common, while arithmetic errors were the least common. The average performance of Family Medicine residents was 56.9% (95% CI 56.2%-57.6%). The performance of GPT-3.5 was similar to that of the average Family Medicine resident (P=.16), while the performance of GPT-4 exceeded that of the top-performing Family Medicine resident (P<.001). CONCLUSIONS: GPT-4 significantly outperforms both GPT-3.5 and Family Medicine residents on a multiple-choice medical knowledge test designed for Family Medicine residents. GPT-4 provides a logical rationale for its response choice, ruling out other answer choices efficiently and with concise justification. Its high degree of accuracy and advanced reasoning capabilities facilitate its potential applications in medical education, including the creation of exam questions and scenarios as well as serving as a resource for medical knowledge or information on community services.

Synergism Between IL21 and Anti-PD-1 Combination Therapy is Underpinned by the Coordinated Reprogramming of the Immune Cellular Network in the Tumor Microenvironment.

T cell-stimulating cytokines and immune checkpoint inhibitors (ICI) are an ideal combination for increasing response rates of cancer immunotherapy. However, the results of clinical trials have not been satisfying. It is important to understand the mechanism of synergy between these two therapeutic modalities. Here, through integrated analysis of multiple single-cell RNA sequencing (scRNA-seq) datasets of human tumor-infiltrating immune cells, we demonstrate that IL21 is produced by tumor-associated T follicular helper cells and hyperactivated/exhausted CXCL13+CD4+ T cells in the human tumor microenvironment (TME). In the mouse model, the hyperactivated/exhausted CD4+ T cell-derived IL21 enhances the helper function of CD4+ T cells that boost CD8+ T cell-mediated immune responses during PD-1 blockade immunotherapy. In addition, we demonstrated that IL21's antitumor activity did not require T-cell trafficking. Using scRNA-seq analysis of the whole tumor-infiltrating immune cells, we demonstrated that IL21 treatment in combination with anti-PD-1 blockade synergistically drives tumor antigen-specific CD8+ T cells to undergo clonal expansion and differentiate toward the hyperactive/exhausted functional state in the TME. In addition, IL21 treatment and anti-PD-1 blockade synergistically promote dendritic cell (DC) activation and maturation to mature DC as well as monocyte to type 1 macrophage (M1) differentiation in the TME. Furthermore, the combined treatment reprograms the immune cellular network by reshaping cell-cell communication in the TME. Our study establishes unique mechanisms of synergy between IL21 and PD-1-based ICI in the TME through the coordinated promotion of type 1 immune responses. Significance: This study reveals how cytokine and checkpoint inhibitor therapy can be combined to increase the efficacy of cancer immunotherapy.

Evaluating the Applicability of Existing Lexicon-Based Sentiment Analysis Techniques on Family Medicine Resident Feedback Field Notes: Retrospective Cohort Study.

BACKGROUND: Field notes, a form for resident-preceptor clinical encounter feedback, are widely adopted across Canadian medical residency training programs for documenting residents' performance. This process generates a sizeable cumulative collection of feedback text, which is difficult for medical education faculty to navigate. As sentiment analysis is a subfield of text mining that can efficiently synthesize the polarity of a text collection, sentiment analysis may serve as an innovative solution. OBJECTIVE: This study aimed to examine the feasibility and utility of sentiment analysis using 3 popular sentiment lexicons on medical resident field notes. METHODS: We used a retrospective cohort design, curating text data from University of Toronto medical resident field notes gathered over 2 years (from July 2019 to June 2021). Lexicon-based sentiment analysis was applied using 3 standardized dictionaries, modified by removing ambiguous words as determined by a medical subject matter expert. Our modified lexicons assigned words from the text data a sentiment score, and we aggregated the word-level scores to a document-level polarity score. Agreement between dictionaries was assessed, and the document-level polarity was correlated with the overall preceptor rating of the clinical encounter under assessment. RESULTS: Across the 3 original dictionaries, approximately a third of labeled words in our field note corpus were deemed ambiguous and were removed to create modified dictionaries. Across the 3 modified dictionaries, the mean sentiment for the "Strengths" section of the field notes was mildly positive, while it was slightly less positive in the "Areas of Improvement" section. We observed reasonable agreement between dictionaries for sentiment scores in both field note sections. Overall, the proportion of positively labeled documents increased with the overall preceptor rating, and the proportion of negatively labeled documents decreased with the overall preceptor rating. CONCLUSIONS: Applying sentiment analysis to systematically analyze field notes is feasible. However, the applicability of existing lexicons is limited in the medical setting, even after the removal of ambiguous words. Limited applicability warrants the need to generate new dictionaries specific to the medical education context. Additionally, aspect-based sentiment analysis may be applied to navigate the more nuanced structure of texts when identifying sentiments. Ultimately, this will allow for more robust inferences to discover opportunities for improving resident teaching curriculums.

Temporal trends of de novo urological malignancy in renal transplant recipients without a cancer history: A longitudinal cohort study.

BACKGROUND: The incidence of malignancies after successful kidney transplantation has historically been higher than in the general population, with adverse impact on clinical outcomes. However, uncertainty remains as to which cancers occur at what time points after kidney transplantation. METHODS: We conducted a longitudinal cohort study to investigate the temporal trends and topographic patterns of de novo malignancies to optimize surveillance protocols and improve transplant outcome in renal transplant recipients. Measurement of death and cancer events was performed to calculate the cumulative risk of events of interest. RESULTS: Between 2000 and 2013, 3169 renal transplant recipients were retrospectively screened; 3035 (96%) of them met eligibility criteria and were evaluated with a follow-up of 27612 person-years. There was suboptimal overall survival and malignancy-free survival in renal transplant recipients compared to reference groups (HR: 1.65; 95% CI: 1.50-1.82; p < .001; HR: 2.33; 95% CI: 2.04-2.66; p < .001, respectively). Among renal transplant recipients, urological malignancies were predominant (57.5%), followed by digestive tract malignancies (21.4%). The cancer risks of the urinary bladder and upper urinary tract were lower in male subjects (HR: .48; 95% CI: .33-.72; p < .001; HR: .34; 95% CI: .20-.59; p < .001, respectively). The temporal trends of urological malignancies among renal transplant recipients were expressed in a bimodal pattern, with M-shaped peaks at 3 and 9 years, with gender disparity. CONCLUSIONS: In renal transplant recipients, cancer occurrences are shown as M-shaped twin peaks. Our study highlights that specific customized 'targeted' strategies for cancer surveillance programs are required to optimize posttransplant care.