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Objectives: To propose an effective integration method for CT and carbohydrate antigen (CA) 19-9 responses applicable to patients with all stages of pancreatic ductal adenocarcinoma (PDAC) treated with first-line FOLFIRINOX.
Methods: We retrospectively identified patients with PDAC who underwent first-line FOLFIRINOX treatment at a single tertiary hospital between 2017 and 2020. Those with baseline and 8-week follow-up CT scans were included in the CT response dataset. Patients with both CT and CA 19-9 information comprised the CT/CA 19-9 response dataset. CT reports and CA 19-9 levels at baseline and 8-week follow-up were collected. CT response was based on Response Evaluation Criteria in Solid Tumors. CA 19-9 changes were determined as CA 19-9 levels normalized (<37 U/mL), decreased (>37 U/mL), or increased. Overall survival (OS) was compared.
Results: In the CT response dataset (n = 392), patients with progressive disease (PD; n = 44) exhibited shorter OS than stable disease (SD; n = 228; P = .01) or partial response (PR; n = 120; P = .001). OS did not significantly differ between PR and SD (P = .40). In the CT/CA 19-9 response dataset (n = 242), integrated CT and CA 19-9 responses revealed the shortest OS in patients with either PD or increased CA 19-9 (n = 74; median OS, 14.3 months), followed by PR/SD with decreased CA 19-9 (n = 113; median OS, 19.8 months; P = .003), and PR/SD with normalized CA 19-9 (n = 55; median OS, 23.6 months; P = .04).
Conclusion: Our combined evaluation of CT and CA 19-9 responses successfully stratified the survival of patients with PDAC treated with FOLFIRINOX, irrespective of disease stage.
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http://dx.doi.org/10.1016/j.pan.2025.02.007 | DOI Listing |
Curr Microbiol
September 2025
Department of Health Sciences, Università del Piemonte Orientale UPO, Corso Trieste 15/A, 28100, Novara, Italy.
A Python-scripted software tool has been developed to help study the heterogeneity of gene changes, markedly or moderately expressed, when several experimental conditions are compared. The analysis workflow encloses a scorecard that groups genes based on relative fold-change and statistical significance, providing additional functions that facilitate knowledge extraction. The scorecard reports highlight unique patterns of gene regulation, such as genes whose expression is consistently up- or down-regulated across experiments, all of which are supported by graphs and summaries to characterize the dataset under investigation.
View Article and Find Full Text PDFGlob Chang Biol
September 2025
Department of Agronomy, Purdue University, West Lafayette, Indiana, USA.
Understanding how interactive management practices and climatic behavior influence soybean [Glycine max (L.) Merr.] productivity is imperative to inform future production systems under changing climate.
View Article and Find Full Text PDFBMC Res Notes
September 2025
Center for Molecular Medicine Cologne, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany.
Objectives: Small cell lung cancer (SCLC) accounts for approximately 15% of lung tumors and is marked by aggressive growth and early metastatic spread. In this study, we used two SCLC mouse models with differing tumor mutation burdens (TMB). To investigate tumor composition, spatial architecture, and interactions with the surrounding microenvironment, we acquired multiplexed images of mouse lung tumors using imaging mass cytometry (IMC).
View Article and Find Full Text PDFJ Med Internet Res
September 2025
Department of Psychological and Brain Sciences, Boston University, Boston, United States.
Background: Lesbian, gay, bisexual, transgender, queer/questioning, intersex, asexual (LGBTQIA+) researchers and participants frequently encounter hostility in virtual environments, particularly on social media platforms where public commentary on research advertisements can foster stigmatization. Despite a growing body of work on researcher virtual hostility, little empirical research has examined the actual content and emotional tone of public responses to LGBTQIA+-focused research recruitment.
Objective: This study aimed to analyze the thematic patterns and sentiment of social media comments directed at LGBTQIA+ research recruitment advertisements, in order to better understand how virtual stigma is communicated and how it may impact both researchers and potential participants.
J Integr Neurosci
August 2025
School of Computer Science, Guangdong Polytechnic Normal University, 510665 Guangzhou, Guangdong, China.
Background: Emotion recognition from electroencephalography (EEG) can play a pivotal role in the advancement of brain-computer interfaces (BCIs). Recent developments in deep learning, particularly convolutional neural networks (CNNs) and hybrid models, have significantly enhanced interest in this field. However, standard convolutional layers often conflate characteristics across various brain rhythms, complicating the identification of distinctive features vital for emotion recognition.
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