Purpose: The aim of this study is to certify a rationality of Pathological Prognostic Score (PPS) in determining the prognosis of patients with colorectal carcinoma.
Methods: Three hundred and thirty-one patients with colorectal carcinoma, which had been treated by surgical resection, were enrolled. One point was added for each element among four tumor-related pathological factors of depth of tumor, lymph node metastasis, venous invasion, and lymphatic invasion. PPS was determined by an aggregate of the points.
Results: There existed a significant difference both between survivals of patients with PPS 0 or 1 and 2 or 3 (P = 0.0005) and between survivals of patients with PPS 2 or 3 and 4 (P < 0.0001).
Conclusions: PPS could be an easy and useful criteria to stratify prognosis of patients with colorectal carcinoma.
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http://dx.doi.org/10.1002/jso.23024 | DOI Listing |
Pharmaceutics
December 2024
Medical Oncology Department, Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain.
Osteosarcoma is a rare disease, but it is the most frequent malignant bone tumor. Primary treatment consists of preoperative MAP (methotrexate (MTX), doxorubicin and cisplatin) chemotherapy followed by surgery and adjuvant chemotherapy. Pathological response to preoperative chemotherapy is one of the most important prognostic factors, but molecular biomarkers are lacking.
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November 2024
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
DEHP is a plasticizer that is widely found in our water environment and poses a significant risk to the environment and human health. Long-term exposure to DEHP can cause endocrine disruption and interfere with the organism's normal functioning. In order to explore the potential effects of DEHP on the development of biological brain tissues, this study used bioinformatics analysis to confirm the diagnostic and prognostic value of PER3 in gliomas and further validated the neurotoxicity of DEHP using methods such as behavioral experiments and molecular biology in zebrafish.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Department of Oncology, University Hospital of Udine, 33100 Udine, Italy.
Liquid biopsy (LB) involves the analysis of circulating tumour-derived DNA (ctDNA), providing a minimally invasive method for gathering both quantitative and qualitative information. Genomic analysis of ctDNA through next-generation sequencing (NGS) enables comprehensive genetic profiling of tumours, including non-driver alterations that offer prognostic insights. LB can be applied in both early-stage disease settings, for the diagnosis and monitoring of minimal residual disease (MRD), and advanced disease settings, for monitoring treatment response and understanding the mechanisms behind disease progression and tumour heterogeneity.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
HPV Research Laboratory, Department for Gynecology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353 Berlin, Germany.
Head and neck squamous cell carcinoma (HNSCC) with discordant diagnostic patterns of HPV/p16 or HPV/p16 correlate with worse prognosis. This study aims to identify truly HPV-driven HNSCCs using a QuantiGene-Molecular-Profiling-Histology (QG-MPH) assay for identifying transcriptionally active HPV. Of 97 FFPE samples analyzed, 68 were valid for HPV DNA detection by PCR and quantification of HPV E7 and p16 mRNA by QG-MPH.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Department of Toxicology, School of Public Health, Suzhou Medicine College of Soochow University, Suzhou 215123, China.
Lung cancer remains the leading cause of cancer-related mortality globally, with a poor prognosis primarily due to late diagnosis and limited treatment options. This research highlights the critical demand for advanced prognostic tools by creating a model centered on aging-related genes (ARGs) to improve prediction and treatment strategies for lung adenocarcinoma (LUAD). By leveraging datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), we developed a prognostic model that integrates 14 ARGs using the least absolute shrinkage and selection operator (LASSO) alongside Cox regression analyses.
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