Purpose: CD24 is a cell adhesion molecule that has been implicated in metastatic tumor progression of various solid tumors. We aimed to clarify the expression patterns of CD24 in colorectal cancer and to correlate these to clinicopathologic variables including patient survival.
Experimental Design: 147 colorectal carcinomas and two colon carcinoma cell lines were immunostained for CD24. Cytoplasmic and membranous immunoreactivity were semiquantitatively scored. Fisher's exact test, chi(2) test for trends, Kaplan-Meier analysis, and Cox's regression were applied.
Results: The cell line CX-2 showed only a minimal membranous CD24 immunoreactivity, in contrast to HT29, which stained strongly in the cytoplasm. In colorectal cancer, 68.7% of the tumors showed membranous CD24 staining, whereas 84.4% showed cytoplasmic staining. In 10% of cases, an exceptionally strong cytoplasmic CD24 expression was observed. The latter significantly correlated to higher tumor stages (Dukes and pT), nodal or systemic metastasis, and higher tumor grade. In survival analysis, strong cytoplasmic CD24 expression correlated significantly (Cox's regression: P = 0.012, relative risk = 3.7) to shortened patient survival in the group of cases without distant metastases.
Conclusions: CD24 is commonly up-regulated in colorectal cancer and is a new independent prognostic marker which corroborates the importance of CD24 in tumor progression of this disease.
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http://dx.doi.org/10.1158/1078-0432.CCR-05-0606 | DOI Listing |
BMC Cancer
January 2025
Department of Gastrointestinal Surgery I Section, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Background: Gastric cancer peritoneal metastasis lacks effective predictive indices. This article retrospectively explored predictive values of DNA ploidy, stroma, and nucleotyping in gastric cancer peritoneal metastasis.
Methods: A comprehensive analysis was conducted on specimens obtained from 80 gastric cancer patients who underwent gastric resection at the Department of Gastrointestinal Surgery of Wuhan University Renmin Hospital.
Ann Surg Oncol
January 2025
Division of Colorectal Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.
Nat Med
January 2025
Vall d'Hebron Hospital Campus and Vall d'Hebron Institute of Oncology (VHIO), University of Vic - Central University of Catalonia, Barcelona, Spain.
Encorafenib + cetuximab (EC) is approved for previously treated BRAF V600E-mutant metastatic colorectal cancer (mCRC) based on the BEACON phase 3 study. Historically, first-line treatment of BRAF V600E-mutant mCRC with chemotherapy regimens has had limited efficacy. The phase 3 BREAKWATER study investigated EC+mFOLFOX6 versus standard of care (SOC) in patients with previously untreated BRAF V600E mCRC.
View Article and Find Full Text PDFInt J Colorectal Dis
January 2025
Hereditary Digestive Tract Tumors Unit, Fondazione IRCCS Istituto Nazionale Dei Tumori, Via Giacomo Venezian 1, 20133, Milan, Italy.
Purpose: In this study, we investigated the progression of high-grade dysplasia (HGD)/CRC in patients with hereditary colorectal cancer syndromes (HCSS) and concomitant inflammatory bowel diseases (IBDs).
Methods: We described the natural history of a series of patients with confirmed diagnosis of hereditary colorectal cancer syndromes (HCCSs) and concomitant IBDs who were referred to the Hereditary Digestive Tumors Registry at the Fondazione IRCCS Istituto Nazionale dei Tumori of Milan.
Results: Between January 1989 and April 2024, among 450 patients with APC-associated polyposis and 1050 patients with Lynch syndrome (LS), we identified six patients with IBDs (five with UC, one with ileal penetrating CD) and concomitant HCCSs (five with LS, one with APC-associated polyposis).
Sci Rep
January 2025
Ministry of Higher Education, Mataria Technical College, Cairo, 11718, Egypt.
The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and accurate diagnostic results. The method entails several steps with CNN models: ADa-22 and AD-22, transformer networks, and an SVM classifier, all inbuilt.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!