Citations

ABSTRACTTissue‐specific gene manipulation using Cre/loxP or Flp/frt recombination systems is a cornerstone of genetically engineered mouse models. In this study, we aim to develop a novel hepatocyte‐specific, tamoxifen‐inducible Flp mouse line. BAC (bacterial artificial chromosome)‐Alb(albumin)‐FlpER2(estrogen receptor ligan binding domain) was developed by inserting IRES‐FlpER2 cDNA between the translation stop codon and 3′‐UTR of the mouse albumin gene in a bacterial artificial chromosome. Upon tamoxifen induction in mice crossed with reporter lines, western blotting, immunohistochemistry, immunofluorescence staining, and X‐gal staining (5‐bromo‐4‐chloro‐3‐indolyl‐β‐D‐galactopyranoside Staining) were used to verify the recombination efficiency and specificity of this mouse model. Recombination was highly efficient and specific in hepatocytes, with no recombination detected in intrahepatic cholangiocytes or other organs in this mouse model. We generated a new tamoxifen‐induced hepatocyte‐specific mouse model with highly efficient recombination specifically in hepatocytes, and this model can be used to generate tumor model lines.

Abstract Motivation Efforts to address health disparities are often limited by the lack of robust computational tools for inferring genetic ancestry by calculating an individual’s genetic similarity to continental groups. We have already shown that a preferred alternative to self-described race is using ancestry-informative markers (AIMs) that can be classified into ancestral components and used to estimate their similarity to those of known populations to identify continental groups. However, real-world genomic data can present challenges, including limited availability of germline DNA, a small number of AIMs for each sample, and the use of different variant calling software, limiting the application of existing solutions. Results Here, we describe a novel supervised machine-learning tool AncestryGeni, which infers genetic ancestry for samples with even a hundred markers and is applicable to any genomic data, including whole exome sequencing (WES) and RNA sequencing (RNA-Seq) data. Applying AncestryGeni to a real-world genomic dataset obtained from the Multiple Myeloma Research Foundation (MMRF) CoMMpass study, we show that it is more accurate than the commonly used FastNGSadmix when using nonstandard genomic material. We also demonstrate that when using AncestryGeni, the tumor-derived sequence obtained from WES and RNA-Seq can be a robust data source to accurately estimate an individual’s genetic similarity to a continental group. Availability and implementation AncestryGeni pipeline is available at https://github.com/eelhaik/AncestryGeni/tree/main.

CDK12 primarily functions as a transcription regulatory cyclin-dependent kinase (CDK) that controls mRNA elongation, splicing, and polyadenylation. The CDK12 gene is implicated in human cancers since it is frequently mutated and/or deleted in prostate and ovarian cancer but paradoxically amplified in breast cancer. Here, we demonstrate that CDK12 promotes serine-933 phosphorylation of DNA2, a nuclease/helicase critical for replication fork stress regulation, and the phosphorylation subsequently facilitates DNA2 polyubiquitination and degradation mediated by the APC/C CDC20 E3 ubiquitin ligase. CDK12 inactivation induces but amplification suppresses genome-wide expression of interferon response and antigen processing and presentation machinery genes in ovarian and breast cancer cells, respectively. Besides causing aberrant DNA2 stabilization, replication stress, genomic instability, and cytosolic double-stranded DNA (dsDNA) accumulation, CDK12 loss also triggers cGAS–STING activation and innate immune response, which can be reversed by forced expression of replication protein A (RPA) subunits or DNA2 depletion. Our findings identify DNA2 as a phosphorylation substrate of CDK12, connecting CDK12 to cell cycle regulation. These data also reveal DNA2 protein destruction as a critical mechanism that dictates genomic instability, cGAS–STING signaling activation, and innate immune response in CDK12-deregulated cancers.

Abstract Background Dasatinib is an oral inhibitor of the Src kinase family, with preclinical data indicating impact on gliomagenesis, tumor invasion, and radiosensitivity. Methods North Central Cancer Treatment Group N0877 is a phase 1 dose escalation and phase II randomized study evaluating the maximum tolerated dose (MTD), safety, and efficacy of dasatinib with radiation and temozolomide (TMZ) for glioblastoma. Following identification of the MTD, adult patients with a histologic diagnosis of glioblastoma were randomized 2:1 between dasatinib given with standard concurrent and adjuvant TMZ, versus placebo with standard concurrent and adjuvant TMZ. Radiation dose was 60 Gy in 30 fractions. The primary endpoint was overall survival (OS). Secondary endpoints included progression-free survival (PFS), toxicity, and quality of life. Results Thirteen patients were enrolled in the phase I component and established the MTD and phase II dose of 150 mg given daily. A total of 204 patients were enrolled in the phase II component. OS was not different between arms (median OS 15.6 months for dasatinib compared to 19.3 months for placebo, hazard ratio:1.21 favoring placebo, 95% CI: 0.88–1.65, log-rank P-value: .238). Similarly, PFS was not significantly different between the dasatinib and placebo arms. There was a significant increase in anemia, nausea, and creatinine elevation with dasatinib, but significantly more grade 3 lymphopenia with placebo. Conclusions The addition of dasatinib to standard chemoradiation did not improve outcomes for patients with glioblastoma. Clinical Trial Identifier NCT00869401.

Background/Objectives: Autoimmune inner ear disease (AIED) causes sensorineural hearing loss that classically presents as fluctuating, asymmetric loss of hearing. Associated vestibular and other ear symptoms can be present in many patients. First-line treatment of AIED is high-dose corticosteroids. AIED can present either as a primary condition limited to ear involvement or secondary, as part of an underlying systemic autoimmune rheumatic disease, the most common of which include vasculitis and relapsing polychondritis. We described our cohort of primary AIED, including demographics, treatment, and outcomes. We excluded from this review sensorineural hearing loss in the context of vasculitis and relapsing polychondritis. Methods: We performed a chart review of patients with the diagnosis of AIED at Mayo Clinic and compared the cohort by sex. Results: Thirty-one patients met the inclusion criteria. The mean age was 48.5 years, and 17 were men. Patients were initially evaluated at the Department of Otorhinolaryngology or Internal Medicine, and 29 patients were subsequently referred to the Department of Rheumatology, with a mean of 12.2 weeks after the first evaluation. Treatment with corticosteroids showed improvement in hearing and vestibular symptoms during the first month but no further improvement by the end of the third month. Other immunosuppressive medications were used with various degrees of response. Methotrexate was the second most used therapy, with 11 of 17 patients reporting an improvement in symptoms. Conclusions: Corticosteroid therapy is an effective initial treatment for AIED and should be followed with corticosteroid-sparing agents to prevent further damage to the cochlea.

ObjectivesAchalasia is an esophageal motility disorder that impairs quality of life and is often missed (20–50%) on endoscopy. A newly developed computer‐aided detection (CAD) software has shown high accuracy for achalasia diagnosis in preclinical settings. However, its benefit in a clinical setting remains unclear.MethodsBetween February and August 2023, 83 endoscopists from 27 centers assessed 50 randomized endoscopic videos (25 achalasia, 25 nonachalasia) without and with CAD. Endoscopists assessed videos without CAD, then with CAD after 2 months. The primary end‐point was improvement in sensitivity for nonexperienced endoscopists (no endoscopic experience of achalasia). Sensitivity, specificity, and accuracy with and without CAD were compared using the McNemar test.ResultsSensitivity for diagnosing achalasia increased significantly with CAD, rising from 74.2% (95% confidence interval [CI] 72.2–76.0%) to 91.2% (95% CI 89.9–92.4%) for all readers, showing a difference of 17.1% (95% CI 15.1–19.0%). Specifically, sensitivity improved from 66.9% (95% CI 63.6–70.0%) to 91.9% (95% CI 89.9–93.6%) among nonexperienced endoscopists, resulting in a difference of 25.0% (95% CI 21.7–28.4%), and from 79.5% (95% CI 77.1–81.8%) to 90.8% (95% CI 89.0–92.3%) among experienced endoscopists (endoscopic experience of at least one achalasia case), with a difference of 11.3% (95% CI 8.9–13.6%). Accuracy and specificity improved significantly with CAD assistance, regardless of reader's experience.ConclusionCAD improves achalasia detection by 17%, confirming preclinical results. The benefit was higher for nonexperienced endoscopists. CAD assistance may lead to prompt and effective treatment, minimizing the risk of false‐negative diagnosis in clinical practice.Trial registrationThis study was registered in the University Hospital Medical Information Network Clinical Trial Registry (https://www.umin.ac.jp/ctr/) number: UMIN000053047.

TPS9607 Background: The majority of 100,000 annual new U.S. cases of mel consist of localized early-stage disease that undergo wide local excision (WLE) +/- SLN biopsy (SLNB). The tumor draining lymph node is the initial site of immune response including formation of tumor mediated immune suppression and pre-metastatic niches. SLN positivity is a key prognostic factor in early stage mel. Thus, the SLN is a target for local immune intervention to boost the antitumor response. Vusolimogene oderparepvec (RP1) is an intratumorally administered oncolytic immunotherapy with unique potential for neo-adjuvant therapeutic application. RP1 is constructed from a high potency HSV1 strain (RH018A) modified to replicate selectively in tumors (deletion of neurovirulence factors ICP34.5 and ICP47). RP1 encodes GM-CSF and a fusogenic GALV-GP R- protein to maximize oncolytic potency and induce immunogenic cell death. Preclinical and clinical data demonstrate robust antitumor efficacy (including non-injected lesions) of RP1 alone and in combination with checkpoint inhibitors in advanced mel. This trial addresses a crucial gap in understanding the impact of RP1 on SLN dynamics and preventing disease recurrence in high-risk patients (pts). We hypothesize that in pts with high risk, clinically node negative mel (pT3b-T4b), RP1 will reduce rates of SLN positivity as compared to a historic control by favorably reshaping the immune landscape of the primary tumor, SLN, and the peripheral blood. Methods: This is an investigator-initiated, single arm phase 1/2 trial (NCT06216938) designed to assess efficacy and safety of neo-adjuvant RP1 in high-risk, clinically node-negative, non-uveal mel. Eligibility criteria: pT3b, T4a, or T4b non-uveal mel with visible residual tumor or positive biopsy margins, ECOG ≤1, and no prior oncolytic virus therapy. Pts receive 3 doses of neo-adjuvant RP1 (10e6 PFU day 1, 10e7 PFU on days 15 and 21), injected at the primary tumor site followed by standard WLE and SLNB within 35 days of dose 1. Biopsy of residual tumor or archival tumor tissue is obtained pre-RP1 and archival tissue from WLE and SLNB is obtained post-RP1. Blood samples are obtained with each RP1 dose and 3 months post-therapy. Pts are followed for 3 years. Primary endpoint: rate of SLN positivity in the overall cohort. Secondary endpoints: treatment related adverse events (per CTCAE), recurrence free survival, and overall survival. Exploratory endpoints: immunophenotype and microenvironment of the primary tumor, SLN and peripheral blood pre- and post- RP1 (via IHC, IF, and flow cytometry). The observed rate of SLN positivity will be compared to the predicted rate (Melanoma Institute of Australia Prediction Tool for SLN metastatic risk) with a one-sided, one-sample proportion test. Kaplan-Meier estimates will be provided for survival endpoints. The trial is active with 13 of 25 pts enrolled in January 2025. Clinical trial information: NCT06216938 .

e23345 Background: Telemedicine enables patients to attend visits remotely and is associated with shorter wait times (i.e. scheduling-to-appointment duration). However, its impact on patient–clinic distance and wait times for new patients in high-volume surgical oncology centers remains unclear. In these centers, where appointment availability and travel distance significantly influence care decisions, understanding telemedicine’s impact on access is essential as federal policies supporting telemedicine continue to be under legislative review. To address this, we examined the relationship between new patient visit modality, distance, and wait time across demographics, providing insights to guide policy makers, and clinical practice. Methods: We extracted visit data from a multispecialty surgical oncology center in Northern California from 2019 to 2023 and used linear models with fixed effects for clinician and patient characteristics to assess the association of NPV modality with distance and wait times. We calculated distance using geodesic measurements between residential ZIP codes and care sites and derived median household income and education levels from the American Community Survey. Results: There were 10596 NPVs in 2019, and 13982 in 2023, conducted by 78 and 100 clinicians respectively. The proportion of NPV visits conducted by telemedicine increased from 0% to 28% during this period. From 2021–2023, NPVs conducted by telemedicine were more likely to fall outside the center’s 2019 catchment area (80th percentile of distance) with an adjusted odds ratio of 1.89 (95% CI 1.62, 2.21). Wait times for telemedicine NPVs was 3.0 days shorter (95% CI [2.0, 3.9]) than in-person visits. Compared to the reduction in wait times for patients aged 45–65 (2.8 days, 95% CI [1.8, 3.8]), those 80 and older had a smaller reduction (1.9 days, 95% CI [0.9, 2.8]), while patients aged 65–79 had a greater reduction (3.4 days, 95% CI [2.4, 4.5]). This effect did not significantly vary by sex, race, ethnicity, education, income, or insurance status. Conclusions: At this multispecialty surgical oncology center, new patients seen via telemedicine were more likely to reside outside the center’s traditional catchment area and had shorter wait times, with these differences varying by demographic characteristics. Strategic telemedicine integration tailored to patient needs could enhance access by reducing wait times and expanding specialized surgical oncology care to patients across broader geographic distances.