Citations

Biologic augmentation, using substances like bone marrow aspirate concentrate (BMAC) and platelet-rich plasma (PRP), shows promise for improving outcomes in foot and ankle surgery, particularly in high-risk patients. Historically, autologous bone graft is the benchmark due to its trifecta of osteogenic, osteoinductive, and osteoconductive properties, despite its associated donor site morbidity. Current evidence supporting orthobiologics remains fragmented and inconclusive, with a lack of high-level randomized controlled trials (RCTs). BMAC shows fusion rates comparable to autograft in some foot and ankle applications, but PRP evidence is often conflicting due to a lack of preparation standardization. The regulatory environment is complex. The Food and Drug Administration (FDA) oversees human cells and tissues (HCT/Ps) through a tiered system: high-risk §351 products (eg, cultured stem cells) require rigorous premarket approval, whereas §361 products (eg, allograft bone) have minimal oversight. BMAC and PRP often bypass this through the Same Surgical Procedure Exemption or are regulated through their processing devices, meaning the biologics themselves are not FDA-approved therapeutics. This regulatory gap and direct-to-consumer marketing necessitate meticulous informed consent, transparently discussing the lack of specific FDA approval, limited evidence, and high out-of-pocket costs. Future success depends on standardized, prospective RCTs and a collaborative “middle-ground pathway” for regulatory approval.

In 1995, Medicare reduced payments by 50% for anesthesiologists teaching two residents concurrently. By 2004, anesthesiology residency programs were losing, on average, $400,000 per year, causing many institutions to close their anesthesiology training programs. American Society of Anesthesiologists leaders tried unsuccessfully for several years to address this situation through appeals to Medicare. They then organized an advocacy effort to pass the Medicare Anesthesiology Teaching Funding Restoration Act of 2007, which in 2010 restored full payments for teaching anesthetics. From 2010 through 2024, anesthesiologists received $1.262 billion from Medicare for 2.8 million cases involving residents, which is between $442 million and $568 million more than if the legislation had not been enacted. Anesthesiology residency programs increased from 131 to 167 after the enactment. This historic legislation taught anesthesiologists that changing Medicare policies may require congressional action and that persistent and broad-based advocacy can make a legislative campaign successful.

Cellular senescence is a heterogeneous phenotype characterized primarily in mesenchymal cells, but the extent to which immune cells differ in their senescence phenotype, or “senotype,” is unclear. Here, we applied single-cell approaches alongside both global and cell-specific genetic senolytic mouse models to evaluate the senotype of immune cells in the bone marrow of aging mice. We found that myeloid-lineage cells exhibited the highest expression of p16 and senescence-associated secretory phenotype markers among all immune cell types. In contrast with clearance of p16 + senescent mesenchymal cells, targeted clearance of p16 + myeloid cells in aged mice had only minor effects on age-related bone loss in male mice, with no effects in females. In more detailed analyses, p16 + myeloid cells were only acutely cleared, being repopulated back to basal levels within a short time. This led to a lack of long-lasting reduction in senescent cell burden, unlike when targeting bone mesenchymal cells. In vitro, myeloid-lineage cells differed markedly from mesenchymal cells in the development of a senescent phenotype. Collectively, our findings indicate that aged bone marrow myeloid cells do not achieve the fully developed senescent phenotype originally described in mesenchymal cells, justifying further characterization of senotypes of immune cells across tissues.

Abstract Purpose: Prostate-specific membrane antigen (PSMA)–directed therapies provide meaningful clinical benefit in metastatic castration-resistant prostate cancer (mCRPC), yet responses remain limited, underscoring the need for additional biomarkers of PSMA expression heterogeneity. In this study, we explored the relationship between PSMA imaging and PSMA expression on circulating tumor cells (CTC) in our early-phase trial using a PSMA-targeted small molecule. Experimental Design: This phase I study investigated EC1169, a small molecule conjugated to a tubulysin analog warhead, and 99mTc–EC0652, a PSMA imaging agent. Part A (dose escalation) identified the recommended phase II dose. Part B (dose expansion) assessed radiographic progression-free survival (rPFS) as its primary endpoint. We enrolled and treated 103 patients with mCRPC. Most part B patients underwent 99mTc–EC0652 PSMA imaging. A CTC assay assessed PSMA-positive CTCs and their association with response and PSMA imaging. Results: 99mTc–EC0652 single-photon emission computed tomography (SPECT) imaging demonstrated increased sensitivity for detecting bone lesions compared with standard scans (computed tomography/bone scans). Using an optimized CTC assay, we observed that patients with a decrease in PSMA+ CTCs at baseline versus C3D1 displayed a longer rPFS (8 vs. 2.9 months; P = 0.04). Importantly, patients with predominantly PSMA-positive disease on 99mTc–EC0652 imaging also harbored PSMA-negative CTCs, with a subset displaying neuroendocrine prostate cancer–like morphology. Conclusions: Although EC1169 showed limited activity, CTC and imaging analyses showed significant heterogeneity in PSMA expression on CTCs in patients with predominantly PSMA-positive lesions on SPECT. Our study highlights the importance of assessing both PSMA-based CTC and imaging assays in future validation trials.

Background/Objectives: Despite immune checkpoint inhibitors (ICPIs)’s transformation of lung cancer treatment, pneumonitis remains a potentially serious immune-related adverse event. However, reliable data on the comparative risks of individual ICPIs remain unknown. We conducted this network meta-analysis (NMA) to, therefore, quantify and compare the exact pooled burden of pneumonitis risk across multiple ICPI analogs. Methods: We searched the following databases, PubMed, Embase, Scopus MEDLINE and Cochrane Database of Systematic Reviews, as well as gray literature on Google Scholar for eligible studies reporting on the prevalence of pneumonitis following immune check point inhibitor exposures. Pairwise and network meta-analyses were performed to estimate pooled odds ratios (ORs) for pneumonitis, using placebo as the common comparator. Sensitivity analyses assessed the impact of study quality and combination therapies. Results: A total of 29 studies enrolling 15,271 patients with non-small cell lung cancer (NSCLC) or small-cell lung cancer (SCLC) satisfied the inclusion criteria and are included in the meta-analysis. Pembrolizumab was associated with a significantly increased risk of pneumonitis compared to placebo (odds ratio [OR] = 2.67, 95% confidence interval [CI]: 1.70–4.17), with similar elevated risk observed for sugemalimab (odds ratio [OR] = 2.45, 95% confidence interval [CI]: 1.52–3.95). Nivolumab was associated with increased odds of pneumonitis, although with unstable point estimate (odds Ratio [OR] = 2.69, 95% confidence interval [CI]: 0.64–11.35). Statistical heterogeneity was low (H statistics = 1.34). Atezolizumab and ipilimumab demonstrated modest or uncertain risk. Heterogeneity was low (I2 = 12%), and results were robust to sensitivity analyses. Higher pneumonitis rates were observed in combination regimens. Conclusions: Our analysis demonstrates that pneumonitis risk varies among ICPIs, with pembrolizumab and sugemalimab showing the highest odds. Although the absolute incidence is low, the potential severity of pneumonitis warrants vigilant monitoring. These results should guide clinicians in risk stratification and treatment planning, and they should support the development of standardized reporting criteria and further comparative research.

The purpose of this study was to examine the validity of a Garmin device for estimating heart rate, energy expenditure, and step count during incremental treadmill exercise. Eighteen physically active males (n = 12; mean ± SD age = 22.8 ± 4.7 years; body mass = 83.8 ± 13.4 kg) and females (n = 6; 24.2 ± 5.6 years; 65.2 ± 9.6 kg) completed an incremental treadmill test with the Garmin Vivoactive 4 and criterion methods measuring heart rate, energy expenditure, and step count. Mean absolute percent error (MAPE) and Bland–Altman plots were used to assess accuracy. Acceptable accuracy was defined as MAPE < 5% for heart rate and <10% for energy expenditure and step count. MAPE (±SD) values were 13.0 (±10.1), 19.1 (±15.0), and 4.6 (±5.3)% for heart rate, energy expenditure, and step count, respectively. The Bland–Altman regression analyses illustrated proportional bias was present for heart rate (r = 0.591, p < 0.001) and step count (r = 0.516, p = 0.028), but not energy expenditure (r = 0.351, p = 0.153). These findings indicated that the Garmin Vivoactive 4 provided acceptable accuracy for step count but unacceptable accuracy for heart rate and energy expenditure during incremental treadmill exercise.

BACKGROUND: The Commission on Cancer (CoC) implemented 6 operative standards to reduce technical variation in cancer surgery. Although designed to guide surgeons in performing key oncologic techniques, these standards also provide a framework for teaching high-quality cancer surgery to trainees. We assessed surgical trainees’ familiarity with the CoC Operative Standards and the underlying principles of cancer surgery to identify knowledge gaps and opportunities for improved education. STUDY DESIGN: The American College of Surgeons Cancer Surgery Standards Program distributed an anonymous survey to general surgery residents and surgical fellows across the US. Questions addressed the CoC Operative Standards and cancer surgery principles, with scores calculated on the basis of correctness. Univariate logistic regression evaluated associations between trainee or program characteristics and knowledge. Trainees were also asked about their role in procedural documentation, given the synoptic operative report requirements of the standards. RESULTS: A total of 244 surveys were completed by 205 residents and 39 fellows. Fellows reported greater familiarity with the CoC Operative Standards (68% vs 24%, p < 0.001). Only 30% of trainees reported receiving a formal curriculum on the standards. Correct response rates were 30% for CoC Operative Standards questions vs 50% for cancer surgery principles, with minimal association between knowledge and trainee or program characteristics. Most residents (71%) reported contributing to operative documentation. CONCLUSIONS: Surgical trainees demonstrated limited knowledge of the CoC Operative Standards, highlighting the need for multifaceted educational strategies at the national and institutional levels. Incorporating education about the CoC Operative Standards into surgical training can help emphasize the importance of performing and documenting critical elements of cancer operations.

This joint Clinical Consensus Statement on the safety and feasibility of concomitant urogynecologic and gynecologic oncology surgical procedures reflects statements drafted by content experts from the American Urogynecologic Society and the Society of Gynecologic Oncology. The writing group used a Delphi process to evaluate statements developed from a structured literature search and assessed consensus. A total of 35 statements were assessed in the following categories: (1) background, (2) treatment options, (3) timing of concurrent surgery, (4) risk factors, and (5) value-based care. Of the 35 statements, 28 reached consensus on initial review. Three statements were omitted, and 4 statements were revised and reached consensus following second review utilizing the Delphi process.

Integrating artificial intelligence (AI) with healthcare data is rapidly transforming medical diagnostics and driving progress toward precision medicine. However, effectively leveraging multimodal data, particularly digital pathology whole slide images (WSIs) and genomic sequencing, remains a significant challenge due to the intrinsic heterogeneity of these modalities and the need for scalable and interpretable frameworks. Existing diagnostic models typically operate on unimodal data, overlooking critical cross-modal interactions that can yield richer clinical insights. We introduce MarbliX (Multimodal Association and Retrieval with Binary Latent Indexed matriX), a self-supervised framework that learns to embed WSIs and immunogenomic profiles into compact, scalable binary codes, termed “monogram.” By optimizing a triplet contrastive objective across modalities, MarbliX captures high-resolution patient similarity in a unified latent space, enabling efficient retrieval of clinically relevant cases and facilitating case-based reasoning. In lung cancer, MarbliX achieves 85%–89% across all evaluation metrics, outperforming histopathology (69%–71%) and immunogenomics (73%–76%). In kidney cancer, real-valued monograms yield the strongest performance (F1: 80%–83%, Accuracy: 87%–90%), with binary monograms slightly lower (F1: 78%–82%).