Long-term safety of lentiviral or gammaretroviral gene-modified T cell therapies.

Long-term risks of gene therapy are not fully understood. In this study, we evaluated safety outcomes in 783 patients over more than 2,200 total patient-years of observation from 38 T cell therapy trials. The trials employed integrating gammaretroviral or lentiviral vectors to deliver engineered receptors to target HIV-1 infection or cancer.

Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regions.

Genome-wide association studies have identified approximately 200 genetic risk loci for breast cancer, but the causal variants and target genes are mostly unknown. We sought to fine-map all known breast cancer risk loci using genome-wide association study data from 172,737 female breast cancer cases and 242,009 controls of African, Asian and European ancestry. We identified 332 independent association signals for breast cancer risk, including 131 signals not reported previously, and for 50 of them, we narrowed the credible causal variants down to a single variant.

Using the Translational Science Benefits Model to assess the impact of the Penn Implementation Science Center in Cancer Control.

Traditional approaches for evaluating the impact of scientific research - mainly scholarship (i.e., publications, presentations) and grant funding - fail to capture the full extent of contributions that come from larger scientific initiatives.

The incidence of pancreatic cancer in women with a BRCA1 or BRCA2 mutation.

Background: The lifetime risk of pancreatic cancer in women with a germline mutation in BRCA1 and BRCA2 is not well established. In an international prospective cohort of female carriers of BRCA1 and BRCA2 mutations, the cumulative incidence of pancreatic cancer from age 40 until 80 years was estimated.

Methods: A total of 8295 women with a BRCA1 or BRCA2 mutation were followed for new cases of pancreatic cancer.

Repurposing colforsin daropate to treat MYC-driven high-grade serous ovarian carcinomas.

High-grade serous ovarian cancer (HGSOC) is one of the deadliest cancers for women, with a low survival rate, no early detection biomarkers, a high rate of recurrence, and few therapeutic options. Forskolin, an activator of cyclic AMP signaling, has several anticancer activities, including against HGSOC, but has limited use in vivo. Its water-soluble derivative, colforsin daropate, has the same mechanism of action as forskolin and is used to treat acute heart failure.

Mechanisms of Alternative Lengthening of Telomeres.

In recent years, significant advances have been made in understanding the intricate details of the mechanisms underlying alternative lengthening of telomeres (ALT). Studies of a specialized DNA strand break repair mechanism, known as break-induced replication, and the advent of telomere-specific DNA damaging strategies and proteomic methodologies to profile the ribonucleoprotein composition of telomeres enabled the discovery of networks of proteins that coordinate the stepwise homology-directed DNA repair and DNA synthesis processes of ALT. These networks couple mediators of homologous recombination, DNA template-switching, long-range template-directed DNA synthesis, and DNA strand resolution with SUMO-dependent liquid condensate formation to create discrete nuclear bodies where telomere extension occurs.

ZNFX1 is a Novel Master Regulator in Epigenetically-induced Pathogen Mimicry and Inflammasome Signaling in Cancer.

DNA methyltransferase and poly(ADP-ribose) polymerase inhibitors (DNMTis, PARPis) induce a stimulator of interferon (IFN) genes (STING)-dependent pathogen mimicry response (PMR) in ovarian (OC) and other cancers. We now show that combining DNMTis and PARPis upregulates expression of a little-studied nucleic-acid sensor, NFX1-type zinc finger-containing 1 protein (ZNFX1). We demonstrate that ZNFX1 is a novel master regulator for PMR induction in mitochondria, serving as a gateway for STING-dependent PMR.

What happens after menopause? (WHAM): A prospective controlled study of vasomotor symptoms and menopause-related quality of life 24 months after premenopausal risk-reducing salpingo-oophorectomy (RRSO).

Objective: To measure vasomotor symptoms and menopause-related quality of life up to 24 months after RRSO, and the effects of Menopausal Hormone Therapy (MHT).

Methods: Prospective observational study of 104 premenopausal women at elevated risk of ovarian cancer planning RRSO and age-matched comparators (n = 102) who retained their ovaries. Vasomotor symptoms and quality of life were measured using the Menopause-specific QoL Intervention (MENQOL-I) scale.

Phenotypic evaluation of deep learning models for classifying germline variant pathogenicity.

Deep learning models for predicting variant pathogenicity have not been thoroughly evaluated on real-world clinical phenotypes. Here, we apply state-of-the-art pathogenicity prediction models to hereditary breast cancer gene variants in UK Biobank participants. Model predictions for missense variants in BRCA1, BRCA2 and PALB2, but not ATM and CHEK2, were associated with breast cancer risk.

Crossing the border: Replication fork adducts move to lysosomes for autophagic repair.

In a recent study in Cell, Lascaux et al. implicate TEX264 in the autophagy-driven resolution of nuclear topoisomerase 1 cleavage complexes (TOP1cc) in lysosomes, altering current concepts on the mechanism of action for clinically relevant doses of TOP1 inhibitors.

Early Detection of Ovarian Cancer Using Cell-Free DNA Fragmentomes and Protein Biomarkers.

There is an unmet need for effective ovarian cancer screening and diagnostic approaches that enable earlier-stage cancer detection and increased overall survival. We have developed a high-performing accessible approach that evaluates cfDNA fragmentomes and protein biomarkers to detect ovarian cancer.

Molecular glues that inhibit deubiquitylase activity and inflammatory signalling.

Deubiquitylases (DUBs) are crucial in cell signalling and are often regulated by interactions within protein complexes. The BRCC36 isopeptidase complex (BRISC) regulates inflammatory signalling by cleaving K63-linked polyubiquitin chains on Type I interferon receptors (IFNAR1). As a Zn-dependent JAMM/MPN DUB, BRCC36 is challenging to target with selective inhibitors.

Expanding Genetic Counselor Roles: A Model for Global Research Development.

Purpose: Genetic counselors (GCs) increasingly play key roles in advancing genomic medicine through innovative research. Here, we examine one large cohort of GCs' evolving contributions to the literature, with the goal of facilitating worldwide professional development for GCs through scholarly activities.

Methods: Publications were cataloged by members of the Section of Genetic Counseling (Section), established at the Children's Hospital of Philadelphia and the University of Pennsylvania in 2014, including publication year, journal, impact factor, and author position.

Dormant origin firing promotes head-on transcription-replication conflicts at transcription termination sites in response to BRCA2 deficiency.

BRCA2 is a tumor suppressor protein responsible for safeguarding the cellular genome from replication stress and genotoxicity, but the specific mechanism(s) by which this is achieved to prevent early oncogenesis remains unclear. Here, we provide evidence that BRCA2 acts as a critical suppressor of head-on transcription-replication conflicts (HO-TRCs). Using Okazaki-fragment sequencing (Ok-seq) and computational analysis, we identified origins (dormant origins) that are activated near the transcription termination sites (TTS) of highly expressed, long genes in response to replication stress.

Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genes.

African-ancestry (AA) participants are underrepresented in genetics research. Here, we conducted a transcriptome-wide association study (TWAS) in AA female participants to identify putative breast cancer susceptibility genes. We built genetic models to predict levels of gene expression, exon junction, and 3' UTR alternative polyadenylation using genomic and transcriptomic data generated in normal breast tissues from 150 AA participants and then used these models to perform association analyses using genomic data from 18,034 cases and 22,104 controls.

Real-world evaluation of deep learning algorithms to classify functional pathogenic germline variants.

Deep learning models for variant pathogenicity prediction can recapitulate expert-curated annotations, but their performance remains unexplored on actual disease phenotypes in a real-world setting. Here, we apply three state-of-the-art pathogenicity prediction models to classify hereditary breast cancer gene variants in the UK Biobank. Predicted pathogenic variants in , and , but not and were associated with increased breast cancer risk.