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PD15, a steroidal saponin, induces apoptosis of HCT116 colorectal cancer cells via suppressing the Akt/GSK3β pathway.
J Pharm Pharmacol
January 2025
Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
Objectives: PD15, a novel natural steroidal saponin extracted from the rhizomes of Paris delavayi Franchet, has demonstrated a strong cytotoxic effect against HepG2 and U87MG cells. However, its therapeutic effects on colorectal cancer (CRC) and the underlying molecular mechanisms remain unclear.
Methods: MTT assay, clonogenic assay, Hoechst 33258 staining, flow cytometry, molecular docking, and western blot were used to investigate the mechanism of PD15 in HCT116 cell lines.
Dosimetry Assessment in Predicting Treatment Outcomes Following Yttrium-90 Transarterial Radioembolization of Hepatic Tumors.
Cancer Biother Radiopharm
January 2025
Department of Interventional Radiology, University of Kansas Medical Center, Kansas City, Kansas, USA.
To evaluate the use of yttrium-90 (Y90) dosimetry in predicting treatment outcomes when used following transarterial radioembolization with SIR-Spheres® (Resin Y90) in patients with hepatic tumors. This single institution retrospective analysis included 100 patients with hepatocellular carcinoma, colorectal carcinoma or other liver metastases who underwent transarterial radioembolization with resin Y90 and had imaging follow-up within one year of treatment. Mean tumor dose and mean dose to nontumor was calculated using voxel-based dosimetry software.
View Article and Find Full Text PDFPatient-derived Organoids and Xenografts Uncover Therapeutic Vulnerabilities in Colorectal Signet Ring Cell Carcinomas.
Clin Cancer Res
January 2025
ACTREC, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Purpose: Identifying therapeutic targets for Signet Ring Cell Carcinoma (SRCC) of the colon and rectum is a clinical challenge due to the lack of Patient-Derived Organoids (PDO) or Xenografts (PDX). We present a robust method to establish PDO and PDX models to answer address this unmet need. We demonstrate that these models identify novel therapeutic strategies targeting therapy resistance and peritoneal metastasis.
View Article and Find Full Text PDFRevolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis.
PLoS One
January 2025
Department of Computer Science, Faculty of Computing, Federal University of Lafia, Lafia, Nasarawa State, Nigeria.
Article Synopsis
- The emergence of Next Generation Sequencing (NGS) technology has transformed clinical diagnostics, providing extensive microbiome data for personalized medicine.
- Despite its potential, microbiome data's complexity and variability pose challenges for traditional statistical and machine learning approaches, including deep learning.
- The paper presents a novel feature engineering technique that combines two data feature sets, significantly improving the Deep Neural Network's performance in colorectal cancer detection, raising the Area Under the Curve (AUC) from 0.800 to 0.923, thus enhancing microbiome data analysis and disease detection capabilities.
Colorectal cancer (CRC) is the second leading cause of cancer-related mortality globally. While immunotherapeutic approaches are effective in a subset of CRC patients, the majority of CRC cases receive limited benefits from immunotherapy. This study developed an immune subtype classification system based on diverse immune cells and pathways.
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