Citations

Importance Many patients are diagnosed with atypical lesions or lobular carcinoma in situ (LCIS); however, evidence- and consensus-based guidelines for the management of many of these lesions are limited. Observations The American Society of Breast Surgeons, in collaboration with the Society of Breast Imaging and College of American Pathology, assembled a steering group to create guidelines for the management of atypical lesions and LCIS, inclusive of flat epithelial atypia (FEA), atypical ductal hyperplasia (ADH), atypical lobular hyperplasia (ALH), classic LCIS (C-LCIS), and the variant LCIS forms pleomorphic LCIS (P-LCIS) and florid LCIS (F-LCIS). The natural history of ADH, ALH, and C-LCIS suggests that these lesions are associated with an elevated future breast cancer risk; therefore, patients diagnosed with these lesions should be recommended to undergo comprehensive risk assessment and counseling about breast cancer risk-reducing strategies. The magnitude of future breast cancer risk associated with P-LCIS and F-LCIS remains uncertain, yet if these lesions are determined to be hormone receptor positive, risk-reducing medications should be considered. There is no evidence that FEA is associated with an elevated future breast cancer risk. A second pathology review confirmation is recommended for ADH, should be considered for FEA, and is not necessary for ALH or LCIS. Currently available evidence supports the need to diagnostically excise most ADH, P-LCIS, and F-LCIS cases identified on core biopsy, although some ADH cases fulfilling strict criteria and multidisciplinary consensus can be observed. P-LCIS and F-LCIS require a negative margin, but ADH does not. ALH and C-LCIS can be safely observed if the core biopsy diagnosis is concordant with imaging features (ie, radiographic-pathologic concordance is established). Provided radiologic-pathologic concordance is confirmed, diagnostic excision is generally not indicated after a diagnosis of FEA alone. Conclusions and Relevance These guidelines provide evidence-informed, consensus-based recommendations for the management of atypical lesions of the breast, including ADH, ALH, FEA, C-LCIS, P-LCIS, and F-LCIS. Practicing clinicians who treat patients with atypical breast lesions or LCIS should consider integrating these guidelines into clinical management.

Abstract Glioblastoma (GBM) remains the most lethal primary brain cancer due to its remarkable metabolic plasticity and therapeutic resistance. Here, we identify cholesterol dependency as a therapeutically exploitable vulnerability in GBM using two FDA-approved drugs: the H1 histamine antagonist clemastine and the retinoid X receptor agonist bexarotene. Combined treatment induces potent synergistic anti-tumor activity across patient-derived glioma models, suppressing proliferation, stemness, and survival at sub-IC50 concentrations. Mechanistically, this therapy disrupts cholesterol biosynthesis, transport, and homeostasis, triggering endoplasmic reticulum stress and activation of the unfolded protein response, ultimately leading to autophagy and apoptotic cell death. Orthotopic patient-derived glioma models recapitulate these mechanisms in vivo, where local intracranial administration significantly reduces tumor progression and prolongs survival using fourfold lower doses than systemic intraperitoneal delivery. Single-cell RNA sequencing revealed activation of regeneration and plasticity programs, accompanied by immune microenvironment remodeling and enhanced inflammatory signaling. Importantly, syngeneic models preserved immune cell composition, supporting future integration with immunotherapeutic strategies. Together, these findings establish cholesterol dysregulation–induced metabolic collapse as a promising therapeutic approach for GBM.

Atezolizumab-bevacizumab and durvalumab-tremelimumab have established immunotherapy as a first-line standard of care in advanced hepatocellular carcinoma (HCC). Yet, objective response rates (ORRs) remain confined to approximately 15-20%, and no validated predictive biomarker exists for patient selection. Unlike melanoma and lung cancer, conventional markers, including programmed death-ligand 1, microsatellite instability-high status, and tumor mutational burden, have not demonstrated reliable predictive value in HCC. Prior narrative reviews comprehensively catalogued the biomarker landscape through 2022 but predate a wave of clinically significant publications. This narrative review synthesizes evidence published between 2020 and 2026, with particular emphasis on 2023–2026 data, within a unified clinical framework not provided by prior reviews. We critically evaluate tissue-based biomarkers, including the AI-derived Atezolizumab-Bevacizumab Response Signature-Pathology model, spatial multiplex immunohistochemistry, and β-catenin mutational profiling; blood-based biomarkers encompassing circulating tumor DNA for minimal residual disease detection and peripheral immune phenotyping; and serum indices including the CRAFITY score and neutrophil-to-lymphocyte ratio. Hepatitis B virus etiology and non-alcoholic steatohepatitis are discussed as biological modifiers of biomarker performance. We propose an original biomarker-guided clinical algorithm, a comparative clinical readiness table, and a disease-continuum biomarker timeline as practical tools for clinicians and trialists. Prospective biomarker-enrichment trials represent the most critical next step toward clinical translation.

Objective To investigate the utility of tumoral and peritumoral [ 18 F]-fluorodeoxyglucose PET-based radiomics models for predicting tumor spread through air spaces (STAS) in non-small-cell lung cancer (NSCLC). Methods A total of 104 patients with NSCLC were retrospectively included and classified as STAS-positive or STAS-negative according to postoperative histopathology. Three radiomics models were developed based on tumoral and peritumoral volumes of interest (VOIs). Peritumoral models were constructed by defining VOIs with 5 and 10 mm expansions from the tumor margin (PR-5 and PR-10). Conventional PET-derived parameters were calculated. Each group was randomly divided into training (70%) and testing (30%) sets. For prediction, five machine learning algorithms were applied. Model performance was assessed by area under the receiver operating characteristic curve (AUC), accuracy, precision, recall, and F1 score. Results Of the 104 patients, 60 (57.7%) were in the STAS-positive group, and 44 (42.3%) were in the STAS-negative group. Statistically significant differences were found in 27 tumoral, 62 PR-5, and 89 PR-10 radiomic features between the groups. Support Vector Machine achieved the best performance for the tumoral model (AUC: 0.70), whereas Logistic Regression was optimal for the PR-5 and PR-10 models, with AUCs of 0.79 and 0.74, respectively. The mean F1 score values for the tumoral, PR-5, and PR-10 models were 0.67, 0.72, and 0.68, respectively. Maximum standardized uptake value (SUV max ), SUV mean , and SUV peak did not differ significantly between groups. Tumor size, total lesion glycolysis, and metabolic tumor volume were significantly higher in the STAS-positive group. Conclusion Our findings suggest that peritumoral PET-based radiomics may help predict STAS status in NSCLC. The PR-5 model demonstrated the highest predictive performance, while conventional SUV-based parameters showed limited predictive value.

Abstract The age-related decline in tissue regenerative capacity drives demand for interventions restoring physiological repair mechanisms. Glycyl-L-histidyl-L-lysine-copper (GHK-Cu) has demonstrated significant regenerative, anti-inflammatory, and antioxidant properties in preclinical models, prompting its increasing integration into aesthetic practice despite a paucity of standardized clinical guidelines. This systematic review evaluates the efficacy, safety, and regenerative mechanisms of GHK-Cu in aesthetic medicine to clarify its clinical utility and inform future research. A systematic search of PubMed, Embase, and Cochrane CENTRAL was conducted from database inception through March 2026, following PRISMA guidelines. Eligible studies included clinical and preclinical models investigating GHK-Cu as a standalone intervention for aesthetic applications. 20 studies (18 preclinical; 2 RCTs) were included. Preclinical data consistently demonstrated that GHK-Cu enhances extracellular matrix synthesis (type I collagen and glycosaminoglycans), modulates metalloproteinase activity, and promotes angiogenesis and cellular proliferation. It also exhibited significant anti-inflammatory effects by suppressing TGF-β and IL-6. Clinically, GHK-Cu improved patient-reported satisfaction after laser resurfacing and significantly reduced wrinkle volume and depth compared with controls. Additionally, advanced delivery systems, including microneedles and liposomes, markedly improved its transdermal bioavailability and efficacy. GHK-Cu demonstrates a reasonable biological basis for use as a regenerative agent in aesthetic medicine, supported by available preclinical data. Nevertheless, the findings reported across studies were constrained by methodological variability and a limited number of well-designed clinical trials. Future research incorporating larger, controlled trials with standardized formulations, dosing regimens, and delivery methods will be necessary to close the translational gap and inform the development of consistent therapeutic protocols in clinical practice.

Abstract Objective Resective surgery achieves seizure freedom in approximately 60%–80% of patients with drug‐resistant temporal lobe epilepsy (TLE), yet the extent to which seizure cessation permits recovery of disrupted functional brain networks remains unclear. Increasing evidence suggests that recurrent seizures alter subcortical–cortical communication involved in arousal and cognition, contributing to chronic interictal deficits, such as in executive function. Prior work demonstrates that the nucleus basalis of Meynert (NBM), the primary source of cortical cholinergic input to the cortex, exhibits aberrant functional connectivity in patients with TLE. We examined NBM connectivity in patients with TLE before and after surgery using patient‐specific NBM segmentations. We sought to investigate whether seizure freedom is associated with recovery of NBM functional connectivity, consistent with previous observations of interictal network dysfunction reversal in other subcortical arousal structures. Methods Resting‐state functional magnetic resonance imaging was analyzed in 75 patients with TLE, including 34 patients postoperatively, and 106 controls. Patient‐specific NBM segmentations were used to compute functional connectivity between the NBM and frontoparietal association cortex (FPAC) and across the whole brain. Subcortical arousal network community structure was assessed using community detection. Postoperative network changes were evaluated relative to seizure outcome. Results Prior to surgery, patients exhibited reduced bilateral NBM connectivity to the FPAC and whole brain compared to controls, indicating widespread cholinergic network disruption beyond the ipsilateral hemisphere. Following surgery, NBM connectivity increased and no longer differed from controls. Seizure‐free patients demonstrated greater postoperative increases in ipsilateral NBM‐FPAC connectivity than non‐seizure‐free patients, which was not explained by time to postoperative scan or volumetric change. Subcortical arousal community structure remained altered postoperatively. Significance Successful TLE surgery is associated with partial restoration of cholinergic arousal network connectivity, supporting the idea that seizure cessation enables recovery of brain networks disrupted by recurrent seizures. These findings position the NBM as a potential biomarker of network recovery following epilepsy surgery.

Background/Objectives: Leptin is a pleiotropic adipokine linking energy metabolism with innate and adaptive immunity. Its relationship with clinical severity across distinct airway disease phenotypes remains insufficiently characterized. This study examined serum leptin concentrations in adults with allergic rhinitis, non-allergic asthma, and allergic asthma associated with allergic rhinitis. Methods: This single-center retrospective observational study analyzed fully anonymized clinical and laboratory data from 88 adults: patients with allergic rhinitis (n = 31), non-allergic asthma (n = 15), or allergic asthma with allergic rhinitis (n = 22) and healthy controls (n = 20). Serum leptin was measured using a quantitative sandwich enzyme-linked immunosorbent assay. Disease severity was classified using the Allergic Rhinitis and its Impact on Asthma and Global Initiative for Asthma frameworks applicable during the study period. Statistical analyses were performed using IBM SPSS Statistics, version 26.0 (IBM Corp., Armonk, NY, USA), and available original statistical outputs were summarized using retained t statistics and two-sided p values. Results: Stage-specific mean serum leptin concentrations were heterogeneous and non-monotonic. Statistically significant relationships between leptin concentration and disease stage were reported for allergic rhinitis (t = 2.844; p = 0.008), non-allergic asthma (t = 4.240; p = 0.001), and allergic asthma with allergic rhinitis (t = 2.700; p = 0.013). In the allergic rhinitis subgroup, 64.5% of participants had normal weight, 32.3% were overweight, and 3.2% had grade II obesity; weight category was not significantly related to rhinitis stage. Conclusions: The retained analyses indicate statistically significant relationships between serum leptin concentration and clinical disease stage across the investigated airway phenotypes. However, the stage-specific descriptive means were heterogeneous and non-monotonic and therefore do not support a uniform progressive increase in leptin with increasing disease severity. Because complete model outputs and covariate-adjusted estimates were unavailable, these findings should be regarded as exploratory and require prospective validation with appropriate adjustment for adiposity and other relevant metabolic confounders.