Citations

In this letter, the authors evaluate the potential of suzetrigine, a newly U.S. Food and Drug Administration-approved selective NaV1.8 sodium channel inhibitor, as a novel nonopioid alternative for managing moderate-to-severe pain. By targeting peripheral sensory neurons and avoiding the central nervous system, suzetrigine offers a favorable safety profile that bypasses typical opioid-related risks such as respiratory depression, sedation, and tolerance. While clinical trials demonstrate its noninferiority to hydrocodone/acetaminophen in acute postsurgical settings, the authors highlight significant barriers to its use in palliative and hospice care. These limitations include a lack of evidence in patients with serious illness, a current safety restriction of 14 days of use, and a high cost of approximately $15.50 per tablet. Consequently, while suzetrigine represents a significant pharmacological advancement, its current utility is likely limited to short-term acute pain crises until further data support its long-term application in serious illness management.

Background: Sodium–glucose cotransporter 2 inhibitors (SGLT2i) are nephroprotective but are associated with early eGFR decline, also termed “eGFR dip.” Despite elevated risk of kidney disease, this phenomenon is understudied among people with HIV (PWH). Methods: In a 1:1 propensity score–matched cohort study using data from 9 Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) sites, we compared new SGLT2i users with new users of other antihyperglycemic classes. We estimated adjusted hazard ratios (aHRs) for time to ≥10% and ≥30% eGFR decline using multivariable Cox proportional hazards models and analyzed eGFR change using multivariable linear mixed models. In addition, longer-term eGFR trends over 24 months were visualized using locally weighted scatterplot smoothing (LOWESS) curves. Results: Among 1554 eligible PWH, we obtained 295 matched pairs. Over 6 months, eGFR decline incidence of ≥10% and ≥30% was higher among users of SGLT2i versus other antihyperglycemic classes (58.2% vs. 37.4%; aHR: 1.79; 95% CI: 1.40%–2.28%; and 17.3% vs. 9.8%; aHR: 1.69; 95% CI: 1.05–2.73; respectively). The adjusted mean eGFR change at 6 months was −2.62 mL/min/1.73 m 2 for SGLT2i versus 0.05 mL/min/1.73 m 2 for other classes. Long-term eGFR trends revealed an expected initial decline after SGLT2i initiation, followed by stabilization and a slower subsequent decline compared with other classes. Conclusions: Acute eGFR dips were more common among PWH initiating SGLT2i relative to other antihyperglycemic classes, although overall declines were small, transient, and consistent with the general population. Further research is needed to explore the long-term effects of SGLT2i in PWH.

Functional analyses of mitochondria have been hampered by few effective approaches to manipulate mitochondrial DNA (mtDNA) and a lack of existing animal models. Recently a TALE-derived base editor was shown to induce C-to-T (or G-to-A) sequence changes in mtDNA. We report here the FusX TALE Base Editor (FusXTBE) to facilitate broad-based access to TALE mitochondrial base editing technology. TALE Writer is a de novo in silico design tool to map potential mtDNA base editing sites. FusXTBE was demonstrated to function with comparable activity to the initial base editor in human cells in vitro . Zebrafish embryos were used as a pioneering in vivo test system, with FusXTBE inducing 90+% editing efficiency in mtDNA loci as an example of near-complete induction of mtDNA heteroplasmy in vivo . Gene editing specificity as precise as a single nucleotide was observed for a protein-coding gene. Nondestructive genotyping enables single-animal mtDNA analyses for downstream biological functional genomic applications. FusXTBE is a new gene editing toolkit for exploring important questions in mitochondrial biology and genetics.

Abstract Background: Amyloidosis is a complex disease with a multitude of sequalae, particularly with the variants that cause cardiac amyloidosis. There is minimal literature on the types of procedures these patients undergo and the associated postprocedural outcomes. This gap of knowledge makes it difficult for anesthesia providers to risk stratify amyloidosis patients. Methods: This is a single-center, retrospective chart review study performed at a tertiary care medical center that serves as a referral center for patients with amyloidosis. Patients with a known diagnosis of transthyretin (ATTR) or light chain (AL) amyloidosis who underwent procedures requiring anesthesia between January 1, 2018 and October 24, 2024 were included in the study. The primary outcome was 30-day all-cause mortality. Secondary outcomes included other postoperative complications and analysis of types of procedures requiring anesthesia. Results: During the study period, 160 patients underwent a total of 466 procedures requiring anesthesia. Overall, 30-day mortality rate for all encounters was 1.7% (2.7% AL vs 0.5% ATTR, OR 5.71). Endoscopy was the most common procedure, accounting for 26.6% of all procedures. At the patient level, several procedures were more common in ATTR patients including TEE/Cardioversions (21.7% vs 6.6%, p=0.008), electrophysiology (36.2% vs 9.9%, p<0.001), and neurosurgery (13.0% vs 3.3%, p=0.031). Conclusions: In conclusion, patients with amyloid variants that cause cardiac amyloidosis carry substantial postoperative risk when undergoing procedures, with a trend toward increased mortality in patients with AL compared to ATTR. Patients with ATTR are more likely to require neurosurgery and treatment of arrythmias than patients with AL. Additional studies are needed to determine specific diagnostic parameters to help optimize these patients in the future. Trial Registration : Not applicable. Not a clinical trial

Abstract Adoptive T-cell therapies using tumour-specific T-cell receptors (TCRs) are limited by competition with endogenous receptors, which impairs efficacy and poses risks of off-target autoreactivity. Here we present a CRISPR-based platform that completely and selectively eliminates both endogenous TCR-α and -β chains without affecting introduced transgenic TCRs, irrespective of codon optimization. This approach achieves >90% deletion efficiency in Jurkat and primary human T cells, markedly enhancing the expression, pairing fidelity, and functional potency of transgenic receptors. Using a clinically relevant HLA-A*02:01-restricted DMF5 TCR, we show that dual TCR ablation boosts antigen-specific activation and cytotoxicity in vitro and significantly enhances tumor clearance in vivo in human immune system (HIS) mice, while preventing graft-versus-host disease (GVHD). Targeted locus amplification revealed that CRISPR-induced double-strand breaks did not alter lentiviral integration profiles, confirming genomic safety. Extending this approach to four insulin-reactive TCRs demonstrated that removal of endogenous receptors increased transduction efficiency and functional activity, with one (1E6) showing selective activation and infiltration of stem cell–derived islet grafts (SC-islets) in vivo . This study establishes a universal, safe, and scalable genome-editing platform for generating functionally precise human T cells. By integrating cancer immunotherapy and autoimmune disease modelling within a single framework, it provides a strong preclinical rationale for dual endogenous TCR removal as a route to improved specificity, safety, and therapeutic efficacy in TCR-based cell therapies.

We searched for oncogenes activated by copy number increases using whole-genome sequencing data of 535 pancreatic ductal adenocarcinomas (PDACs). We found that gains of 1q were the second most common gain, occurring in 213 (39.8%) of PDACs. Single-cell analysis via fluorescence in situ hybridization on 33 cancers confirmed these results. A portion of 1q, rather than the entire 1q arm, was gained in 75 (14.0%) PDACs, allowing us to pinpoint two ~3-megabase regions of 1q that were nearly always gained. These two regions contained NCSTN and PSEN2 , genes that code two subunits of the γ-secretase complex. Evaluation of 267 precancerous lesions revealed that extra copies of NCSTN and PSEN2 were common (49%) in noninvasive neoplasms (high-grade pancreatic intraepithelial neoplasms), which are at relatively high risk for progression to PDACs, but uncommon (6%) in low-grade pancreatic intraepithelial neoplasia lesions, which have low malignant potential. We hypothesize that γ-secretase genes are genetically activated oncogenes in the early phases of pancreatic neoplasia.

Abstract Guideline-concordant breast cancer treatment selection is increasingly complex due to rapid evolution in biomarker-driven therapies. Large language models (LLMs), such as GPT-4, offer a potential tool to support clinical decision-making. However, hallucinations and deviation from evidence-based guidelines remain significant concerns. This study evaluated whether retrieval-augmented generation (RAG) using National Comprehensive Cancer Network (NCCN) guidelines improves GPT-4 performance in treatment recommendation tasks. We developed a retrieval-augmented GPT-4 agent (RAG-GPT) by indexing 2025 NCCN Breast Cancer Guidelines into a vector database using sentence embeddings. Forty clinical vignettes were created from published case reports to reflect diverse scenarios, including HER2-low, triple-negative, and BRCA-mutated disease across all stages. Two models—a baseline GPT-4 (without augmentation) and the RAG-GPT—were prompted with structured templates requesting treatment plans, rationale, clinical trial options, and citations.Outputs were independently scored by two blinded oncology-trained reviewers using the modified Generative AI Performance Score (mG-PS). The mG-PS scored outputs for 2 categories, guideline concordance (Gold standard = 1.0, Acceptable = 0.5, Non-concordant = 0.0) and hallucination errors (Severe = -1.0, Moderate = -0.5, Mild = -0.25, None = 0.0). Guideline Concordance was deemed based on NCCN guidelines and what an oncologist would due based on using the guidelines for each case. Hallucinations are a term used for falsehoods in Artificial Intelligence, like made-up facts or studies, incorrect information, improper doses, or inappropriate or wrong treatments. To ensure consistency and minimize inter-rater variability, reviewers were provided with comprehensive scoring guidelines and detailed instructions for each evaluation metric. Scores were normalized between -1.0 and 1.0 for improved evaluation of tools. Readability and rationale clarity were rated on a 5-point Likert scale. Inter-rater reliability was assessed using Cohen’s kappa. The RAG-GPT demonstrated a significantly higher mean mG-PS score (0.599 ± 0.102, 95% CI: 0.498-0.702) compared to the baseline GPT-4, which not only scored lower but had a negative mean (-0.21 ± 0.143, 95% CI: -0.353 to -0.067). For the mG-PS Cohen’s Kappa test resulted in a score of .69 with substantial aggreament. An independent sample t-test showed a difference (t(78) = 29.1, p &lt; 0.0001). Severe hallucinations were also absent in RAG-GPT outputs (0/40) but occurred in 8/40 baseline GPT-4 outputs. The evaluation of readability and rationality also showed notable differences, with the augmented LLM scoring significantly higher (M = 4.35, SD = 0.66) compared to the naïve LLM (M = 3.05, SD = 1.06). An independent samples t-test confirmed this difference t(65.3) = 6.58, p &lt; 0.0001, further supporting the benefit of augmented Large Language models. Cohen’s Kappa test resulted in a score of .76 for a substantial agreement for readability and rational clarity scale. Limitations include small sample size; further fine-tuning and larger real-world validation studies remain necessary. Linking GPT-4 to NCCN guidelines via retrieval-augmented generation significantly improves treatment accuracy and reduces hallucination severity in breast cancer care scenarios. While further refinement is needed, the reduced incidence of severe hallucinations, increase in guideline-concordant recommendations, and enhanced readability findings support further development and prospective validation of guideline-anchored LLMs for clinical use. Citation Format: C. Yost, A. Aseem, B. Callas, S. Monick, L. Bonilla, R. Nguyen, R. Galamaga, S. Osborn, Y. Kumar, N. Ertz-Archambault. Retrieval-augmented GPT-4 improves NCCN-concordant breast cancer treatment recommendations [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS3-06-29.

Abstract Cytokine receptor–like factor 2 rearrangement (CRLF2r), an aberration causing a Philadelphia chromosome–like gene expression profile and a poor prognostic marker in B-cell acute lymphoblastic leukemia (B-ALL), endows relative chemotherapeutic resistance. Extramedullary disease (EMD), including both central nervous system (CNS) and non-CNS involvement, can also be associated with worse outcomes. The relationship between CRLF2r and EMD is unknown. Based on an initial observation of patients with relapsed/refractory (R/R) CRLF2r B-ALL and EMD, a single-center retrospective review was conducted to evaluate the incidence of EMD in patients with CRLF2r B-ALL. Across 177 children, adolescents, and young adults with R/R B-ALL, 21 (11.9%) harbored CRLF2r, of whom 19 (90.5%) had EMD at some point during their treatment course. In contrast, only 78 of the 156 patients (50%) without CRLF2r ever had EMD (P = .0003). In the CRLF2r cohort, 8 (38.1%) presented with EMD at diagnosis: 7 with CNS and 1 with non-CNS EMD. At relapse, 17 (80.9%) had EMD: 4 (19%) had CNS EMD, 9 (42.9%) had non-CNS EMD, and 4 (19%) had both. Isolated EMD was observed in 2 patients (11.8%) at first relapse and in 3 (17.6%) with multiple relapses. Given these findings, further study to evaluate this potential association between EMD and CRLF2r in R/R B-ALL is indicated.