Radiotherapy planification has recently known important developments, with the rise of new technologies, such as conformational radiation therapy, intensity-modulated radiation therapy (IMRT) or stereotaxic radiation therapy. Delineation of target volumes has become primordial. Hybrid imaging by positron emission tomography associated to computed tomography scanner (PET-CT) gives an access to functional and morphological information. Radiotherapist and nuclear physicians working closely have the potential to allow a more optimal delineation, and a better preservation of organs at risk. During the past few years, this has been explored by many articles, and we propose a literature review organized by localization, about the use of PET-CT for pelvic nodes delineation.
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http://dx.doi.org/10.1016/j.canrad.2013.06.039 | DOI Listing |
Mol Cancer
January 2025
i3S - Instituto de Investigação e Inovação em Saúde, Universidade Do Porto, Rua Alfredo Allen 208, Porto, 4200‑135, Portugal.
Rectal cancer accounts for over 35% of the worldwide colorectal cancer burden representing a distinctive subset of cancers from those arising in the colon. Colorectal cancers exhibit a continuum of traits that differ with their location in the large intestine. Due to anatomical and molecular differences, rectal cancer is treated differently from colon cancer, with neoadjuvant chemoradiotherapy playing a pivotal role in the control of the locally advanced disease.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Background: Drug resistance constitutes one of the principal causes of poor prognosis in breast cancer patients. Although cancer cells can maintain viability independently of mitochondrial energy metabolism, they remain reliant on mitochondrial functions for the synthesis of new DNA strands. This dependency underscores a potential link between mitochondrial energy metabolism and drug resistance.
View Article and Find Full Text PDFBMC Cancer
January 2025
Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China.
Background: Multiple studies have demonstrated that the abundance and functionality of γδ T cells are favorable prognostic indicators for prolonged survival in cancer patients. However, the association between the immunophenotype of circulating γδ T cells and the therapeutic response in NSCLC patients undergoing chemotherapy or targeted therapy remains unclear.
Methods: Patients with EGFR wild-type (EGFR-WT) or mutant (EGFR-Mut) non-small cell lung cancer (NSCLC), diagnosed between January 2020 and January 2024, were included in this study.
BMC Cancer
January 2025
Basic Research Center, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, School of Medicine, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China.
Background: CD3 + CD20 + T cells (T cells) are a subset of lymphocytes in the human body that are associated with inflammation. They originate from T cells interacting with B cells, and their levels are abnormally elevated in individuals with immune disorders, as well as in some cancer patients. The interplay between tumor immunity and inflammation is intricate, yet the specific involvement of T cells in local tumor immunity remains uncertain, with limited research on their subtypes.
View Article and Find Full Text PDFNat Cancer
January 2025
Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany.
Despite advances in precision oncology, clinical decision-making still relies on limited variables and expert knowledge. To address this limitation, we combined multimodal real-world data and explainable artificial intelligence (xAI) to introduce AI-derived (AID) markers for clinical decision support. We used xAI to decode the outcome of 15,726 patients across 38 solid cancer entities based on 350 markers, including clinical records, image-derived body compositions, and mutational tumor profiles.
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