Search Results

Background: A prediction model for overall survival (OS) in metastatic pancreatic ductal adenocarcinoma (PDAC) including patient and treatment characteristics is currently not available, but it could be valuable for supporting clinicians in patient communication about expectations and prognosis. We aimed to develop a prediction model for OS in metastatic PDAC, called SOURCE-PANC, based on nationwide population-based data. Materials and Methods: Data on patients diagnosed with synchronous metastatic PDAC in 2015 through 2018 were retrieved from the Netherlands Cancer Registry. A multivariate Cox regression model was created to predict OS for various treatment strategies. Available patient, tumor, and treatment characteristics were used to compose the model. Treatment strategies were categorized as systemic treatment (subdivided into FOLFIRINOX, gemcitabine/nab-paclitaxel, and gemcitabine monotherapy), biliary drainage, and best supportive care only. Validation was performed according to a temporal internal–external cross-validation scheme. The predictive quality was assessed with the C-index and calibration. Results: Data for 4,739 patients were included in the model. Sixteen predictors were included: age, sex, performance status, laboratory values (albumin, bilirubin, CA19-9, lactate dehydrogenase), clinical tumor and nodal stage, tumor sublocation, presence of distant lymph node metastases, liver or peritoneal metastases, number of metastatic sites, and treatment strategy. The model demonstrated a C-index of 0.72 in the internal–external cross-validation and showed good calibration, with the intercept and slope 95% confidence intervals including the ideal values of 0 and 1, respectively. Conclusions: A population-based prediction model for OS was developed for patients with metastatic PDAC and showed good performance. The predictors that were included in the model comprised both baseline patient and tumor characteristics and type of treatment. SOURCE-PANC will be incorporated in an electronic decision support tool to support shared decision-making in clinical practice.

Background: Metastatic pancreatic ductal adenocarcinoma (PDAC) is characterized by a poor survival rate, which can be improved by systemic treatment. Consensus on the most optimal first- and second-line palliative systemic treatment is lacking. The aim of this study was to describe the use of first- and second-line systemic treatment, overall survival (OS), and time to failure (TTF) of first- and second-line treatment in metastatic PDAC in a real-world setting. Patients and Methods: Patients with synchronous metastatic PDAC diagnosed between 2015 and 2018 who received systemic treatment were selected from the nationwide Netherlands Cancer Registry. OS and TTF were evaluated using Kaplan-Meier curves with log-rank test and multivariable Cox proportional hazard analyses. Results: The majority of 1,586 included patients received FOLFIRINOX (65%), followed by gemcitabine (18%), and gemcitabine + nab-paclitaxel (13%) in the first line. Median OS for first-line FOLFIRINOX, gemcitabine + nab-paclitaxel, and gemcitabine monotherapy was 6.6, 4.7, and 2.9 months, respectively. Compared to FOLFIRINOX, gemcitabine + nab-paclitaxel showed significantly inferior OS after adjustment for confounders (hazard ratio [HR], 1.20; 95% CI, 1.02–1.41), and gemcitabine monotherapy was independently associated with a shorter OS and TTF (HR, 1.98; 95% CI, 1.71–2.30 and HR, 2.31; 95% CI, 1.88–2.83, respectively). Of the 121 patients who received second-line systemic treatment, 33% received gemcitabine + nab-paclitaxel, followed by gemcitabine (31%) and FOLFIRINOX (10%). Conclusions: Based on population-based data in patients with metastatic PDAC, treatment predominantly consists of FOLFIRINOX in the first line and gemcitabine with or without nab-paclitaxel in the second line. FOLFIRINOX in the first line shows superior OS compared with gemcitabine with or without nab-paclitaxel.

Background: A relationship between quality of life (QoL) and survival has been shown for several types of cancer, mostly in clinical trials with highly selected patient groups. The relationship between QoL and survival for patients with pancreatic or periampullary cancer is unclear. Methods: This study analyzed QoL data from a prospective multicenter patient-reported outcome registry in patients with pancreatic or periampullary carcinoma registered in the nationwide Netherlands Cancer Registry (2015–2018). Baseline and delta QoL, between baseline and 3-month follow-up, were assessed with the Happiness, EORTC Quality of Life Questionnaire-Core 30 (QLQ-C30), and QLQ-PAN26 questionnaires. The relationship between QoL and survival was assessed using Cox regression models, and additional prognostic value of separate items was assessed using Nagelkerke R ² (explained variance). Results: For the baseline and delta analyses, 233 and 148 patients were available, respectively. Most were diagnosed with pancreatic adenocarcinoma (n=194; 83.3%) and had stage III disease (n=77; 33.0%), with a median overall survival of 13.6 months. Multivariate analysis using baseline scores indicated several scales to be of prognostic value for the total cohort (ie, happiness today, role functioning, diarrhea, pancreatic pain, and body image; hazard ratios all P<.05) and for patients without resection (ie, overall satisfaction with life, physical and cognitive functioning, QLQ-C30 summary score, fatigue, pain, constipation, diarrhea, and body image; hazard ratios all P<.05). Except for diarrhea, all QoL items accounted for >5% of the additional explained variance and were of added prognostic value. Multivariate analysis using delta QoL revealed that only constipation was of prognostic value for the total cohort, whereas no association with survival was found for subgroups with or without resection. Conclusions: In a multicenter cohort of patients with pancreatic or periampullary carcinoma, QoL scores predicted survival regardless of patient, tumor, and treatment characteristics. QoL scores may thus be used for shared decision-making regarding disease management and treatment choice.