Tumor growth inhibition (TGI) modeling attempts to describe the time course changes in tumor size for patients undergoing cancer therapy. TGI models present several advantages over traditional exposure-response models that are based explicitly on clinical end points and have become a popular tool in the pharmacometrics community. Unfortunately, the data required to fit TGI models, namely longitudinal tumor measurements, are sparse or often not available in literature or publicly accessible databases. On the contrary, common end points such as progression-free survival (PFS) and objective response rate (ORR) are directly derived from longitudinal tumor measurements and are routinely published. To this end, a Bayesian generative model relating underlying tumor dynamics to summary PFS and ORR data is introduced to learn TGI model parameters using only published summary data. The parameterized model can describe the tumor dynamics, quantify treatment effect, and account for differences in the study population. The utility of this model is shown by applying it to several published studies, and learned parameters are combined to simulate an in silico trial of a novel combination therapy in a novel setting.
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http://dx.doi.org/10.1002/psp4.13163 | DOI Listing |
J Transl Med
January 2025
Maimonides Biomedical Research Institute of Cordoba (IMIBIC), University of Cordoba, Cordoba, Spain.
Background: Transarterial chemoembolization (TACE) is the first-line therapeutic option for patients with intermediate-stage hepatocellular carcinoma (HCC). Tumor neovascularization allows tumor growth and may facilitate the release of circulating tumor cells (CTCs) to the bloodstream after TACE. We investigated the relationship between early release of CTCs and radiological response after TACE.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Urology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Background: The progression of bladder cancer (BC) from non-muscle-invasive bladder cancer (NMIBC) to muscle-invasive bladder cancer (MIBC) significantly increases disease severity. Although the tumor microenvironment (TME) plays a pivotal role in this process, the heterogeneity of tumor cells and TME components remains underexplored.
Methods: We characterized the transcriptomes of single cells from 11 BC samples, including 4 NMIBC, 4 MIBC, and 3 adjacent normal tissues.
Nat Commun
January 2025
Olivia Newton-John Cancer Research Institute, Heidelberg, Melbourne, Australia.
Cas12a is a next-generation gene editing tool that enables multiplexed gene targeting. Here, we present a mouse model that constitutively expresses enhanced Acidaminococcus sp. Cas12a (enAsCas12a) linked to an mCherry fluorescent reporter.
View Article and Find Full Text PDFMikrochim Acta
January 2025
Department of Chemistry, Faculty of Basic Sciences, Ayatollah Boroujerdi University, Boroujerd, Iran.
A cost-effective strategy is reported utilizing ionic liquid (IL), 1-hexyl-3-methylimidazolium bisulfate ([HMIM] HSO), to delaminate TiC MXene, thereby enhancing its efficiency in electrocatalyzing tryptophan (Trp) oxidation. The positively charged IL effectively intercalates within the negatively charged MXene layers, fostering structural stability through π-π stacking and electrostatic interactions. Consequently, the resulting IL-TiC composite not only maintained the inherent electronic conductivity of TiC but also significantly augmented its electrocatalytic prowess.
View Article and Find Full Text PDFNo Shinkei Geka
January 2025
Department of Neurosurgery, Osaka Medical and Pharmaceutical University.
Surgery for spinal intramedullary tumors remains a major challenge for neurosurgeons. Successful surgery requires experience, skill, and intraoperative imaging support. Fluorescence imaging technology has become a valuable support in neurosurgical procedures of not only the brain but also the spinal cord.
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