Ongoing discoveries in cancer genomics and epigenomics have revolutionized clinical oncology and precision health care. This knowledge provides unprecedented insights into tumor biology and heterogeneity within a single tumor, among primary and metastatic lesions, and among patients with the same histologic type of cancer. Large-scale genomic sequencing studies also sparked the development of new tumor classifications, biomarkers, and targeted therapies. Because of the central role of imaging in cancer diagnosis and therapy, radiologists need to be familiar with the basic concepts of genomics, which are now becoming the new norm in oncologic clinical practice. By incorporating these concepts into clinical practice, radiologists can make their imaging interpretations more meaningful and specific, facilitate multidisciplinary clinical dialogue and interventions, and provide better patient-centric care. This review article highlights basic concepts of genomics and epigenomics, reviews the most common genetic alterations in cancer, and discusses the implications of these concepts on imaging by organ system in a case-based manner. This information will help stimulate new innovations in imaging research, accelerate the development and validation of new imaging biomarkers, and motivate efforts to bring new molecular and functional imaging methods to clinical radiology. Oncology, Cancer Genomics, Epignomics, Radiogenomics, Imaging Markers © RSNA, 2023.
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http://dx.doi.org/10.1148/rycan.220153 | DOI Listing |
Int J Clin Oncol
January 2025
Translational Research Support Section, National Cancer Center Hospital East, Chiba, Japan.
Early cancer detection substantially improves the rate of patient survival; however, conventional screening methods are directed at single anatomical sites and focus primarily on a limited number of cancers, such as gastric, colorectal, lung, breast, and cervical cancer. Additionally, several cancers are inadequately screened, hindering early detection of 45.5% cases.
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
January 2025
Université Joseph KI-ZERBO, Laboratoire de Biologie Moléculaire et de Génétique (LABIOGENE), 03 BP 7021 Ouagadougou 03, Burkina Faso.
Cell Mol Biol (Noisy-le-grand)
January 2025
Departamento de Biología Molecular y Genómica y Departamento de Disciplinas Filosófico Metodológicas e Instrumentales. Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Jalisco, México.
ABCG2 transporter protein is one of several markers of prostate cancer stem cells (PCSCs). Gene variants of ABCG2 could affect protein expression, function, or both. The aim of this study was to identify the genetic variability of the ABCG2 gene in Mexican patients with prostate cancer.
View Article and Find Full Text PDFJ Cell Mol Med
January 2025
Department of Medical Biology, Faculty of Medicine, Kutahya Health Sciences University, Kutahya, Turkey.
Chemotherapy is a potent tool against cancer, but drug resistance remains a major obstacle. To combat this, understanding the molecular mechanisms behind resistance in cancer cells and the protein expression changes driving these mechanisms is crucial. Targeting the Ubiquitin-Proteasome System (UPS) has proven effective in treating multiple myeloma and shows promise for solid tumours.
View Article and Find Full Text PDFHGG Adv
January 2025
Department of Biology, Brigham Young University, Provo, UT, 84061, USA; Simmons Center for Cancer Research, Brigham Young University, Provo, UT 84602, USA. Electronic address:
Using rare cancer predisposition alleles derived from The Cancer Genome Atlas (TCGA) and high cancer prevalence (14% of participants) in All of Us (version 6), we assessed the impact of these rare alleles on cancer occurrence in six broad groups of genetic similarity provided by All of Us: African/African American (AFR), Admixed American/Latino (AMR), East Asian (EAS), European (EUR), Middle Eastern (MID), or South Asian (SAS). We observed that germline susceptibility to cancer consistently replicates in EUR-like participants but less so in other participants. We found that All of Us participants from the EUR (p = 1.
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