Chemokine (C-X-C motif) ligand 1 (CXCL1) is a chemotactic cytokine known to regulate cancer progression and invasion. However, the prognostic significance of CXCL1 expression in colorectal cancer (CRC) has not been fully characterized. The present study explored the clinicopathological significance and potential role of CXCL1 in the carcinogenesis and progression of CRC. The protein expression of CXCL1 was measured immunohistochemically in tissue microarrays constructed from 276 CRC patients. CXCL1 expression levels and their associations with clinicopathological characteristics and patient survival were evaluated. The effect of CXCL1 on glycolysis was also examined. High CXCL1 expression was detected in 165 (59.8%) cases. CXCL1 expression was correlated with tumor diameter (P=0.002), T stage (P=0.044), N stage (P=0.005), M stage (P=0.001), lymphovascular invasion (P=0.010), and carcinoembryonic antigen status (P=0.019). High CXCL1 expression was validated as an independent prognostic factor for overall survival (OS) and disease-free survival (DFS) by both univariate and multivariate Cox regression analyses (both P<0.05). Experimentally, expression of CXCL1 was knocked down by stable transfected short hairpin RNA, resulting in a significantly decreased rate of glycolysis both in in vitro assays and in patients’ samples (P<0.05). Silencing the expression of CXCL1 decreased the levels of the glycolytic enzymes GLUT1, HK2, and LDHA. In conclusion, by inducing glycolysis, CXCL1 plays a crucial role in both cancer progression and metastasis in CRC patients. The CXCL1 expression level is an independent prognostic factor for both OS and DFS. Moreover, CXCL1 may serve as a new biomarker and potential therapeutic target for CRC treatment.
Background Understanding the vascular anatomy is critical for performing central vascular ligation (CVL) in right hemicolectomy with complete mesocolic excision (CME). This study aimed to investigate the predictive value of multi-slice spiral computed tomography (MSCT) with coronal reconstruction in right hemicolectomy with CME. Methods This is a retrospective descriptive study. Eighty patients with right colon cancer who underwent right hemicolectomy from December 2015 to January 2020 were included. The intraoperative reports (including imaging data) and MSCT images with coronal reconstruction were analysed and compared. The detection rates of the ileocolic vein (ICV) and ileocolic artery (ICA) roots and the accuracy in predicting their anatomical relationship were analysed. The detection rate and accuracy in predicting the location of the gastrocolic trunk of Henle (GTH), middle colic artery (MCA) and middle colic vein (MCV) were analysed. The distance from the ICV root to the GTH root (ICV-GTH distance) was measured and analysed. The maximum distance from the left side of the superior mesenteric artery (SMA) to the right side of the superior mesenteric vein (SMV), named the ‘lsSMA-rsSMV distance’, was also measured and analysed. Results In seventy-four (92.5%) patients, both the ICV and ICA roots were located; their anatomical relationship was determined by MSCT, and the accuracy of the prediction was 97.2% (72/74). The GTH was located by MSCT in 75 (93.7%) patients, and the accuracy of the prediction was 97.33% (73/75). The MCA was located by MSCT in 47 (58.75%) patients, and the accuracy was 78.72% (37/47). The MCV was located by MSCT in 51 (63.75%) patients, and the accuracy of the prediction was 84.31% (43/51). The ICV-GTH distance was measured in 73 (91.2%) patients, and the mean distance was 4.28 ± 2.5 cm. The lsSMA-rsSMV distance was measured in 76 (95%) patients, and the mean distance was 2.21 ± 0.6 cm. Conclusions With its satisfactory accuracy in predicting and visualising the information of key anatomical sites, MSCT with coronary reconstruction has some predictive value in CME with CVL in right hemicolectomy.
Background:Understanding vascular anatomy is critical for performing central vascular ligation (CVL) in the right hemicolectomy with complete mesocolic excision (CME). This study was aimed to investigate the predictive value of multi-slice spiral computed tomography (MSCT) with coronal reconstruction in the right hemicolectomy. Methods:Eighty patients who underwent right hemicolectomy in our hospital were included. The intraoperative imaging data and the images of MSCT with coronal reconstruction were analyzed retrospectively. The detection rate of the ileocolic vein (ICV) and ileocolic artery (ICA) location and the accuracy of the preoperative prediction of their anatomical relationship were analyzed. The detection rate and preoperative prediction accuracy of the gastrocolic trunk of Henle (GTH), middle colic artery (MCA), and middle colin vein (MCV) were analyzed. The distance from the ICV root to the GTH root (ICV-GTH distance) was measured and analyzed. The maximum distance from the left edge of the superior mesenteric artery (SMA) to the right edge of the superior mesenteric vein (SMV), named “leSMA-reSMV distance,” was measured and analyzed too.Results:74 (92.5%) patients had been located both the ICV and ICA roots and determined the anatomical relationship between them by MSCT, of which 72 were confirmed by intraoperative findings,and the accuracy was 90% (72/80). GTH was located by MSCT in 75 (93.7%) patients, and the accuracy was 91.25% (73/80). MCA was located by MSCT in 47(58.75%) patients, and the accuracy was 46.25% (37/80). MCV was located by MSCT in 51 (63.75%)patients, and the accuracy was 53.75% (43/80). The ICV-GTH distance was measured in 73 (91.2%) patients, and the mean distance was 4.28±2.5cm. The leSMA-reSMV distance was measured in 76 (95%) patients, and the mean distance was 2.21±0.6cm. Conclusions:MSCT with coronary reconstruction can locate the roots of ICV, ICA, and GTH, predict the boundary of SMA and SMV, analyze the anatomical relationship between them, and estimate the location and range of central ligation region, which are of some predictive value in central vascular ligation in the right hemicolectomy with CME.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.