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Juniperus communis (JCo) is a well-known traditional Chinese medicinal plant that has been used to treat wounds, fever, swelling, and rheumatism. However, the mechanism underlying the anticancer effect of JCo extract on colorectal cancer (CRC) has not yet been elucidated. This study investigated the anticancer effects of JCo extract in vitro and in vivo as well as the precise molecular mechanisms. Cell viability was evaluated using the MTT assay. Cell cycle distribution was examined by flow cytometry analysis, and cell apoptosis was determined by the terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assay. Protein expression was analyzed using western blotting. The in vivo activity of the JCo extract was evaluated using a xenograft BALB/c mouse model. The tumors and organs were examined through hematoxylin-eosin (HE) staining and immunohistochemistry. The results showed that JCo extract exhibited higher cytotoxicity against CRC cells than against normal cells and showed synergistic effects when combined with 5-fluorouracil. JCo extract induced cell cycle arrest at the G0/G1 phase via regulation of p53/p21 and CDK4/cyclin D1 and induced cell apoptosis via the extrinsic (FasL/Fas/caspase-8) and intrinsic (Bax/Bcl-2/caspase-9) apoptotic pathways. In vivo studies revealed that JCo extract suppressed tumor growth through the inhibition of proliferation and induction of apoptosis. In addition, there was no obvious change in body weight or histological morphology of normal organs after treatment. JCo extract suppressed CRC progression by inducing cell cycle arrest and apoptosis in vitro and in vivo, suggesting the potential application of JCo extract in the treatment of CRC.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289341 | PMC |
http://dx.doi.org/10.1590/1414-431X2020e10891 | DOI Listing |
Purpose: In Armenia, a lower-middle-income country, cancer causes 21% of all deaths, with over half of cases diagnosed at advanced stages. Without universal health insurance, patients rely on out-of-pocket payments or black-market channels for costly immunotherapies, underscoring the need for real-world data to inform equitable policy reforms.
Methods: We conducted a multicenter, retrospective cohort study of patients who received at least one dose of an immune checkpoint inhibitor (ICI) between January 2017 and December 2023 across six Armenian oncology centers.
JCO Clin Cancer Inform
September 2025
Department of Applied AI and Data Science, City of Hope, Duarte, CA.
Purpose: The recent advancements of retrieval-augmented generation (RAG) and large language models (LLMs) have revolutionized the extraction of real-world evidence from unstructured electronic health records (EHRs) in oncology. This study aims to enhance RAG's effectiveness by implementing a retriever encoder specifically designed for oncology EHRs, with the goal of improving the precision and relevance of retrieved clinical notes for oncology-related queries.
Methods: Our model was pretrained with more than six million oncology notes from 209,135 patients at City of Hope.
JCO Clin Cancer Inform
August 2025
BC Cancer Vancouver Center, Department of Medical Oncology, Vancouver, BC, Canada.
Purpose: Chemotherapy is the primary treatment for metastatic nonseminomatous germ cell tumors (mNSGCTs), but patients often encounter postchemotherapy residual disease. Accurate noninvasive methods are needed to predict the histology of these masses, guiding treatment and reserving surgery for those with teratoma. This study aims to enhance predictive accuracy by integrating computed tomography (CT) radiomics features with miRNAs (miR371-375) to distinguish between teratoma and nonteratoma histology in postchemotherapy residual masses.
View Article and Find Full Text PDFPurpose: Chemotherapy can cause symptoms that impair quality of life and lead to unplanned health care encounters (UHEs) such as emergency department visits and inpatient admissions. Collecting patient-reported symptom data between clinic visits can enable timely identification of symptoms. This observational study aimed to identify how daily individual symptoms are associated with UHE.
View Article and Find Full Text PDFJCO Clin Cancer Inform
August 2025
Department of Veterans Affairs Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, Boston, MA.
Purpose: To develop and validate an algorithm to extract clinically relevant data elements for prostate cancer (PCa) from prostate biopsy reports and magnetic resonance imaging (MRI) reports.
Patients And Methods: MRI reports and biopsy pathology reports were extracted from a cohort of 1,360,866 patients with PCa in the VA Cancer Registry System or the VA Corporate Data Warehouse, with 155,570 patients having the relevant reports for inclusion. We hand-annotated a sample of these reports, which were used to develop a rule-based natural language processing (NLP) algorithm for extracting Gleason score, positive cores, and total cores taken during biopsy from biopsy pathology reports and Prostate Imaging Reporting and Data System (PI-RADS) score, prostate-specific antigen (PSA) density, prostate volume, and prostate dimensions from MRI reports.