Background: Leucine-rich α-2-glycoprotein-1 (LRG1) is differentially expressed in many kinds of diseases including cancer, however, it has not been thoroughly studied yet.
Purpose: The objective of this study was to detect the expression and potential mechanism of LRG1 in colorectal cancer (CRC). In our study, we examined LRG1 levels in CRC tissue and plasma with quantitative real-time polymerase chain reaction and enzyme-linked immunosorbent assay, respectively. The effect of LRG1 on cancer cells was detected with transwell and MTT assays.
Results: The average plasma LRG1 level in CRC was significantly higher than in polyp group (=0.002) and healthy controls (<0.001). Second, plasma LRG1 was positively associated with CA19-9 (=0.133, =0.039) and neutrophil ratio (=0.403, <0.001). Third, plasma LRG1 of stage IV patients was dramatically different from that of stage I, stage II or stage III patients (<0.001). LRG1 mRNA expression levels were about 2-fold higher in CRCs compared to normal tissues (<0.001). And levels of plasma LRG1 were found to be a risk factor in CRC in univariate survival analysis of colorectal prognosis (=0.013, hazard ratio [HR]=1.803, 95% CI: 1.521-2.137), and multivariate analysis showed that LRG1 was an independent risk factor (<0.001, HR=1.492, 95% CI: 1.223-1.820). The patients with higher plasma LRG1 value presented with poorer outcome (=0.013). Functional experiments showed that LRG1 could promote the invasion and growth ability of cells. LRG1 was increased in plasma and tissue compared with that of controls and LRG1 may predict prognosis of CRC patients and LRG1 maybe a tumor promoter.
Conclusion: LRG1 is increased in CRC patients and might serve as a tumor promoter.
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http://dx.doi.org/10.2147/OTT.S153375 | 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!