Mediation analysis identifies causal factors that lead to increased rates of kidney transplant failure in patients with peripheral vascular disease.

Background: This study aims to identify causal mediators of one-year kidney transplant failure in patients with peripheral vascular disease.

Methods: Standard Transplant Analysis and Research database was queried for adults who underwent kidney transplantation from 1987 to 2021. Multi-organ transplant, prior transplant, and living donor kidneys were excluded.

A first-in-human phase 1/2 dose-escalation study of MAK683 (EED inhibitor) in patients with advanced malignancies.

Purpose: MAK683, a first-in-class and highly selective allosteric inhibitor of the embryonic ectoderm development subunit of polycomb repressive complex 2, has shown sustained antitumor activity in tumor xenograft models. This first-in-human phase 1/2 study evaluated the safety, pharmacokinetics (PK), and clinical activity of single-agent MAK683 in advanced malignancies.

Methods: MAK683 was administered fasted once daily or twice daily continuously in 28-day treatment cycles.

Impact of structured surveillance of patients with esophageal cancer following surgical resection with curative intent.

Background: Esophageal cancer (EC) is a disease with a poor prognosis. While treatment options have been improved, there is no consensus for surveillance strategies following therapy with curative intent. As the incidence of EC is rising and a large fraction of patients will experience disease recurrence, the need for evidence-based treatment and optimal surveillance is evident.

Predicting Unplanned Trauma ICU Admissions for Initial Nonoperative, Non-ICU Patients.

Introduction: Unplanned intensive care unit (ICU) admissions are associated with increased morbidity and mortality. This study uses interpretable machine learning to predict unplanned ICU admissions for initial nonoperative trauma patients admitted to non-ICU locations.

Methods: TQIP (2020-2021) was queried for initial nonoperative adult patients admitted to non-ICU locations.

OnetoMap Meta-Data: Healthcare Analytics Through Research.

Introduction: Big Data has revolutionized healthcare research through the three Vs: volume, veracity, and variety. This study introduces the OnetoMap meta-data repository, a centralized inventory developed in collaboration with the University of South Florida's Department of Surgery.

Methods: The repository offers extensive details about each database, including its primary purpose, available variables, and examples of high-impact research utilizing these databases.

Seeing the primary tumor because of all the trees: Cancer type prediction on low-dimensional data.

The Cancer of Unknown Primary (CUP) syndrome is characterized by identifiable metastases while the primary tumor remains hidden. In recent years, various data-driven approaches have been suggested to predict the location of the primary tumor (LOP) in CUP patients promising improved diagnosis and outcome. These LOP prediction approaches use high-dimensional input data like images or genetic data.

Introduction of a New Satellite Model for Participation in Clinical Trials in a Consortial Comprehensive Cancer Center with Four University Hospitals in Germany.

Introduction: The trend toward personalized medicine leads to very small study cohorts for clinical trials, which makes it difficult to recruit patients in a single study center. On the other hand, the administrative effort required to initiate a clinical trial is very high. As a result, Germany runs the risk of falling behind other countries as a trial location.

Hospitals with decreasing cost-to-charge ratios bill greater surgical charges for similar outcomes.

Background: The cost-to-charge ratio reflects the markup of hospital services. A lower cost-to-charge ratio indicates lower costs and/or greater charges. This study examines factors associated with cost-to-charge ratio trends to determine whether decreasing cost-to-charge ratio is associated with worse surgical outcomes.

For the Love of the Game: Calculating the Premium Associated With Academic Surgical Practice.

Objective: We sought to determine the premium associated with a career in academic surgery, as measured by compensation normalized to the work relative value unit (wRVU).

Background: An academic surgical career embodying innovation and mentorship offers intrinsic rewards but is not well monetized. We know compensation for academic surgeons is less than their nonacademic counterparts, but the value of clinical effort, as normalized to the wRVU, between academic and nonacademic surgeons has not been well characterized.

Advancing passive BCIs: a feasibility study of two temporal derivative features and effect size-based feature selection in continuous online EEG-based machine error detection.

The emerging integration of Brain-Computer Interfaces (BCIs) in human-robot collaboration holds promise for dynamic adaptive interaction. The use of electroencephalogram (EEG)-measured error-related potentials (ErrPs) for online error detection in assistive devices offers a practical method for improving the reliability of such devices. However, continuous online error detection faces challenges such as developing efficient and lightweight classification techniques for quick predictions, reducing false alarms from artifacts, and dealing with the non-stationarity of EEG signals.

Survival Tree Provides Individualized Estimates of Survival After Lung Transplant.

Introduction: Identifying contributors to lung transplant survival is vital in mitigating mortality. To enhance individualized mortality estimation and determine variable interaction, we employed a survival tree algorithm utilizing recipient and donor data.

Methods: United Network Organ Sharing data (2000-2021) were queried for single and double lung transplants in adult patients.

Germline homozygosity and allelic imbalance of HLA-I are common in esophagogastric adenocarcinoma and impair the repertoire of immunogenic peptides.

Background: The individual HLA-I genotype is associated with cancer, autoimmune diseases and infections. This study elucidates the role of germline homozygosity or allelic imbalance of HLA-I loci in esophago-gastric adenocarcinoma (EGA) and determines the resulting repertoires of potentially immunogenic peptides.

Methods: HLA genotypes and sequences of either (1) 10 relevant tumor-associated antigens (TAAs) or (2) patient-specific mutation-associated neoantigens (MANAs) were used to predict good-affinity binders using an in silico approach for MHC-binding (www.

Impact of FAPI-46/dual-tracer PET/CT imaging on radiotherapeutic management in esophageal cancer.

Background: Fibroblast activation protein (FAP) is expressed in the tumor microenvironment (TME) of various cancers. In our analysis, we describe the impact of dual-tracer imaging with Gallium-68-radiolabeled inhibitors of FAP (FAPI-46-PET/CT) and fluorodeoxy-D-glucose (FDG-PET/CT) on the radiotherapeutic management of primary esophageal cancer (EC).

Methods: 32 patients with EC, who are scheduled for chemoradiation, received FDG and FAPI-46 PET/CT on the same day (dual-tracer protocol, 71%) or on two separate days (29%) We compared functional tumor volumes (FTVs), gross tumor volumes (GTVs) and tumor stages before and after PET-imaging.

Concurrent KRAS p.G12C mutation and ANK3::RET fusion in a patient with metastatic colorectal cancer: a case report.

Background: Colorectal cancer (CRC) frequently involves mutations in the KRAS gene, impacting therapeutic strategies and prognosis. The occurrence of KRAS mutations typically precludes the presence of RET fusions, with current medical literature suggesting a mutual exclusivity between these two genetic alterations. We present a unique case that challenges this notion.

Correlation of primary tumor volume and histopathologic response following neoadjuvant treatment of esophageal adenocarcinoma.

Introduction: In esophageal cancer, histopathologic response following neoadjuvant therapy and transthoracic esophagectomy is a strong predictor of long-term survival. At the present, it is not known whether the initial tumor volume quantified by computed tomography (CT) correlates with the degree of pathologic regression.

Methods: In a retrospective analysis of a consecutive patient cohort with esophageal adenocarcinoma, tumor volume in CT prior to chemoradiotherapy or chemotherapy alone was quantified using manual segmentation.

First-Line Nivolumab Plus Chemotherapy for Advanced Gastric, Gastroesophageal Junction, and Esophageal Adenocarcinoma: 3-Year Follow-Up of the Phase III CheckMate 649 Trial.

JCO We report 3-year efficacy and safety results from the phase III CheckMate 649 trial. Patients with previously untreated advanced or metastatic gastroesophageal adenocarcinoma were randomly assigned to nivolumab plus chemotherapy or chemotherapy. Primary end points were overall survival (OS) and progression-free survival (PFS) by blinded independent central review (BICR) in patients whose tumors expressed PD-L1 combined positive score (CPS) ≥5.

Assessment of mental workload across cognitive tasks using a passive brain-computer interface based on mean negative theta-band amplitudes.

Brain-computer interfaces (BCI) can provide real-time and continuous assessments of mental workload in different scenarios, which can subsequently be used to optimize human-computer interaction. However, assessment of mental workload is complicated by the task-dependent nature of the underlying neural signals. Thus, classifiers trained on data from one task do not generalize well to other tasks.

Combined score of Y chromosome loss and T-cell infiltration improves UICC based stratification of esophageal adenocarcinoma.

Background: Staging, especially clinical lymph node staging in esophageal adenocarcinoma has only moderate sensitivity and specificity. Therefore, we evaluated combined molecular markers to predict prognosis.

Patients And Methods: 890 tumor tissue samples were obtained from patients who underwent surgery for esophageal adenocarcinoma with curative intent.