The clinical utility is uncertain for many cancer genomic applications. Comparative effectiveness research (CER) can provide evidence to clarify this uncertainty. The aim of this study was to identify approaches to help stakeholders make evidence-based decisions and to describe potential challenges and opportunities in using CER to produce evidence-based guidance. We identified general CER approaches for genomic applications through literature review, the authors' experiences, and lessons learned from a recent, seven-site CER initiative in cancer genomic medicine. Case studies illustrate the use of CER approaches. Evidence generation and synthesis approaches used in CER include comparative observational and randomized trials, patient-reported outcomes, decision modeling, and economic analysis. Significant challenges to conducting CER in cancer genomics include the rapid pace of innovation, lack of regulation, and variable definitions and evidence thresholds for clinical and personal utility. Opportunities to capitalize on CER methods in cancer genomics include improvements in the conduct of evidence synthesis, stakeholder engagement, increasing the number of comparative studies, and developing approaches to inform clinical guidelines and research prioritization. CER offers a variety of methodological approaches that can address stakeholders' needs and help ensure an effective translation of genomic discoveries.
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http://dx.doi.org/10.1038/gim.2012.16 | DOI Listing |
Int J Radiat Oncol Biol Phys
January 2025
Providence Swedish Cancer Institute, Seattle, Washington.
Purpose: Standard therapy for breast cancer after breast-conserving surgery is radiation therapy (RT) plus hormone therapy (HT). For patients with a low-risk of recurrence, there is an interest in deescalating therapy.
Methods And Materials: A retrospective study was carried out for patients treated at the Swedish Cancer Institute from 2000 to 2015, aged 70 years or older, with pT1N0 or pT1NX estrogen receptor-positive and ERBB2-negative unifocal breast cancer without positive surgical margins, high nuclear grade, or lymphovascular invasion.
Mol Ther
January 2025
Department of Integrative Physiology, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address:
Gene therapy with Adeno-Associated Virus (AAV) vectors requires knowledge of their tropism within the body. Here we analyze the tropism of ten naturally occurring AAV serotypes (AAV3B, AAV4, AAV5, AAV6, AAV7, AAV8, AAV9, AAVrh8, AAVrh10 and AAVrh74) following systemic delivery into male and female mice. A transgene expressing ZsGreen and Cre recombinase was used to identify transduction in a cell-dependent manner based on fluorescence.
View Article and Find Full Text PDFMol Ther
January 2025
Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, Shanghai Key Laboratory of Regulatory Biology and School of Life Sciences, East China Normal University, Shanghai, China, 200241. Electronic address:
CAR T-cell therapy has achieved remarkable clinical success in treating hematological malignancies. However, its clinical efficacy in solid tumors is less satisfactory, partially due to poor in vivo expansion and limited persistence of CAR-T cells. Here, we demonstrated that the overexpression of glucocorticoid-induced tumor necrosis factor receptor-related protein ligand (GITRL) enhances the anti-tumor activity of CAR-T cells.
View Article and Find Full Text PDFJ Ovarian Res
January 2025
Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, #128 Shenyang Road, Shanghai, 200090, People's Republic of China.
Background: Ovarian cancers (OC) and cervical cancers (CC) have poor survival rates. Tumor-infiltrating lymphocytes (TILs) play a pivotal role in prognosis, but shared immune mechanisms remain elusive.
Methods: We integrated single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) to explore immune regulation in OC and CC, focusing on the PI3K/AKT pathway and FLT3 as key modulators.
Clin Epigenetics
January 2025
Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Alcohol consumption is an important risk factor for multiple diseases. It is typically assessed via self-report, which is open to measurement error through recall bias. Instead, molecular data such as blood-based DNA methylation (DNAm) could be used to derive a more objective measure of alcohol consumption by incorporating information from cytosine-phosphate-guanine (CpG) sites known to be linked to the trait.
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