Data from a clinical study of 86 pancreatic cancer patients with involuntary, significant weight loss (cachexia) were used to explore the relationship between patient-reported outcomes (PROs) and survival. In all, 28 pancreatic cancer patients with cachexia were given gemcitabine (Gemzar) plus 3 mg/kg of infliximab (Remicade), 28 were given gemcitabine plus 5 mg/kg of infliximab, and 30 were given gemcitabine plus placebo in a double-blinded, phase II, multicenter trial. PRO endpoints included scores from the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F), Functional Assessment of Anorexia/ Cachexia Therapy (FAACT), Brief Pain Inventory (BPI), and the Short-Form 36 general health survey (SF-36). Population mean scores at baseline indicated fatigue problems (FACIT-F), nutritional health issues (FAACT), and mild-to-moderate pain (BPI "worst pain" score). Baseline normalized SF-36 values for physical functioning, vitality, and mental health indicated substantial impairment. Baseline fatigue and physical-functioning scores predicted survival as well as, or better than, baseline Karnofsky Performance Status or hemoglobin level. A cut-point in the FACIT-F score (median < or = 30) strongly predicted mortality; patients with greater fatigue had a lower median overall survival than did those with less fatigue. These findings supported several features of an a priori clinical-benefit model. Patient-reported fatigue provided powerful prognostic information; tracking of this symptom may be useful for treatment planning and medical monitoring of advanced-stage pancreatic cancer patients with cachexia. These results must be confirmed by larger trials.
Download full-text PDF |
Source |
---|
Mol Ther
January 2025
Department of Hematology and Oncology, Shenzhen University General Hospital, International Cancer Center, Shenzhen Key Laboratory, Hematology Institution of Shenzhen University, Shenzhen University Health Science Center, Shenzhen University, Shenzhen, China; Shenzhen University-Haoshi Cell Therapy Institute, Shenzhen, China. Electronic address:
Pancreatic cancer (PC) is one of the most lethal digestive system tumors. Claudin18.2 is highly expressed in PC tissue and could serve as a suitable target for CAR-T therapy.
View Article and Find Full Text PDFCancers (Basel)
December 2024
College of Pharmacy and Health Sciences, St. John's University, Queens, NY 11439, USA.
In the original publication [...
View Article and Find Full Text PDFCancers (Basel)
January 2025
Hybrid Technology Hub, Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, 0372 Oslo, Norway.
: Tumor organoid and tumor-on-chip (ToC) platforms replicate aspects of the anatomical and physiological states of tumors. They, therefore, serve as models for investigating tumor microenvironments, metastasis, and immune interactions, especially for precision drug testing. To map the changing research diversity and focus in this field, we performed a quality-controlled text analysis of categorized academic publications and clinical studies.
View Article and Find Full Text PDFCancers (Basel)
December 2024
Department of Gastroenterology & Hepatology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Pancreatic cancer is associated with high rates of morbidity and mortality. Endoscopic ultrasound (EUS)-guided biopsy has become the standard diagnostic modality per the guidelines. The use of EUS has been growing for providing various treatments in patients with pancreatic cancers: biliary and gallbladder drainage for those with malignant biliary obstruction, gastroenterostomy for malignant gastric outlet obstruction, celiac plexus/ganglia neurolysis for pain control, radiofrequency ablation, placement of fiducial markers, and injection of local chemotherapeutic agents.
View Article and Find Full Text PDFCancers (Basel)
December 2024
Department of General, Visceral and Transplantation Surgery, University of Heidelberg, 69120 Heidelberg, Germany.
Despite the significant advancements of liver surgery in the last few decades, the survival rate of patients with liver and pancreatic cancers has improved by only 10% in 30 years. Precision medicine offers a patient-centered approach, which, when combined with machine learning, could enhance decision making and treatment outcomes in surgical management of ihCC. This study aims to develop a decision support model to optimize treatment strategies for patients with ihCC, a prevalent primary liver cancer.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!