To investigate the clinical impact of body composition on outcomes in advanced pancreatic cancer (APC), we performed a retrospective analysis of patients diagnosed with APC between 2010 and 2016. The extent of visceral fat, subcutaneous fat, and skeletal muscle was measured using computed tomography (CT) images, together with visceral to subcutaneous adipose tissue area ratio (VSR) and skeletal muscle index (SMI). The effects of these body composition parameters on survival in APC were explored. In total 203 APC patients were enrolled in this study, with a median age of 65 years (range: 31-80 years). The median overall survival (OS) was 9.5 months (95% confidence interval, 7.6-12.4 months). The survival analysis showed that OS in patients with high SMI was significantly longer than those in patients with low SMI (11.1 vs 8.0 months, P < .001). However, when analyzed with VSR, the OS in patients with high VSR was significantly shorter than those in patients with low VSR (8.3 vs 9.4 months, P < .001). Multivariate analyses revealed that ECOG performance status (hazard ratio [HR]: 1.56; P < .001), stage III (HR: 0.63; P = .039), SMI (HR: 0.92; P = .019), VSR (HR: 1.38; P = .005), and skeletal muscle area (HR: 0.95; P = .049) were independent risk factors for mortality. In conclusion, visceral adiposity, as well as low muscle mass and quality, was closely associated with OS of APC. Therefore, evaluating body compositions may be a practical approach for predicting patient prognosis.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393092 | PMC |
http://dx.doi.org/10.1097/MD.0000000000010988 | DOI Listing |
Int J Cancer
January 2025
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Early Drug Development Center, Peking University Cancer Hospital and Institute, Beijing, China.
Pancreatic cancer is a particularly aggressive tumor, distinguished by the presence of a prominent collagenous stroma and desmoplasia that envelops the tumor cells. Pancreatic stellate cell (PSC) contributes to the formation of a dense fibrotic stroma and has been demonstrated to facilitate tumor progression. As the significance of PSCs is increasingly revealed, more explorations are focused on the complex molecular mechanisms and tumor-stromal crosstalk in order to guide potential therapeutic approaches through deactivating or reprogramming PSCs.
View Article and Find Full Text PDFJ Cachexia Sarcopenia Muscle
January 2025
Department of Medical Oncology, Lille University Hospital, Lille, France.
Background: Advanced pancreatic ductal adenocarcinoma (aPDAC) is often accompanied by significant muscle mass loss, contributing to poor prognosis. SarcAPACaP, an ancillary study of the GERCOR-APACaP phase III trial, evaluated the role of adapted physical activity (APA) in aPDAC Western patients receiving first-line chemotherapy. The study aimed to assess (1) the potential impact of computed tomography (CT)-quantified muscle mass before and during treatments on health-related quality of life (HRQoL) and overall survival (OS) and (2) the role of APA in mitigating muscle mass loss.
View Article and Find Full Text PDFMol Cancer
January 2025
Department of Physiology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Background And Aims: Oncogenic KRAS mutations are present in approximately 90% of pancreatic ductal adenocarcinoma (PDAC). However, Kras mutation alone is insufficient to transform precancerous cells into metastatic PDAC. This study investigates how KRAS-mutated epithelial cells acquire the capacity to escape senescence or even immune clearance, thereby progressing to advanced PDAC.
View Article and Find Full Text PDFNPJ Precis Oncol
January 2025
Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Pancreatic ductal adenocarcinoma (PDAC) is notably resistant to conventional chemotherapy and radiation treatment. However, clinical trials indicate that carbon ion radiotherapy (CIRT) with concurrent gemcitabine is effective for unresectable locally advanced PDAC. This study aimed to identify patient characteristics predictive of CIRT response.
View Article and Find Full Text PDFPhys Med Biol
January 2025
Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, London, Surrey, SM2 5PT, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.
This study aims to develop and evaluate a fast and robust deep learningbased auto-segmentation approach for organs at risk in MRI-guided radiotherapy of pancreatic cancer to overcome the problems of time-intensive manual contouring in online adaptive workflows. The research focuses on implementing novel data augmentation techniques to address the challenges posed by limited datasets. Approach: This study was conducted in two phases.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!