Abstract Objective This study aims to assess the efficacy of developing a rat portal vein thrombosis (PVT) model by combining intermittent ligation with clamp insertion in the portal vein. Methods SD rats were randomly divided into a model group and a blank control group. The model group was subjected to portal vein thrombosis induction using intermittent ligation combined with clamp placement, while the blank control group underwent only portal vein dissection after laparotomy. A liver color Doppler ultrasound was performed to validate the occurrence of portal vein thrombosis after the one-week modeling procedure. Following this, the model group was sub-grouped into recovery and model control groups. A laparotomy was performed to obtain the portal vein for examination for these subgroups. On the other hand, the model recovery group remained elevated for an additional 3 weeks before portal vein collection. In the pathological examination, each portal vein tissue was stained with Hematoxylin and Eosin staining, Masson, and Van Gieson staining. Results One week following surgery, an ultrasound examination showed stable (90%) thrombus formation in the portal vein of the model group. The histopathological emanation of the model control and model recovery groups revealed the existence of a thrombus in the portal vein, vascular endothelium injury, media thickening due to edema, and collagen fiber adhesion. The blank control group exhibited no thrombus formation in the portal vein and remained intact in vascular structure. Rats in the model recovery group showed stable PVT and non-fatal survival at four weeks postoperatively. Conclusion In this study, an effective and viable portal vein thrombosis rat model has successfully developed via intermittent ligation combined with clamp insertion. The minimal 4-week survival duration of rats in the PVT model provides a temporal base for future studies.
Circulating RNAs in serum, plasma or other body liquid have emerged as useful and highly promising biomarkers for noninvasive diagnostic application. Herein, we aimed to establish a serum long non-coding RNAs (lncRNAs) signature for diagnosing nasopharyngeal carcinoma (NPC). In this study, we recruited a cohort of 101 NPC patients, 20 patients with chronic nasopharyngitis (CN), 20 EBV carriers (EC) and 101 healthy controls. qRT-PCR was performed with NPC cells and serum samples to screen a pool of 38 NPC-related lncRNAs obtained from the LncRNADisease database. A profile of three circulating lncRNAs (MALAT1, AFAP1-AS1 and AL359062) was established for NPC diagnosis. By Receiver Operating Characteristic (ROC) curve analysis, this three-lncRNA signature showed high accuracy in discriminating NPC from healthy controls (AUC = 0.918), CN (AUC = 0.893) or EC (AUC = 0.877). Furthermore, high levels of these three lncRNAs were closely related to advanced NPC tumor node metastasis stages and EBV infection. Serum levels of these three lncRNAs declined significantly in patients after therapy. Our present study indicates that circulating MALAT1, AFAP1-AS1 and AL359062 may represent novel serum biomarkers for NPC diagnosis and prognostic prediction after treatment.
Hepatocellular carcinoma (HCC) is one of the most prevalent cancers globally. In contrast to the declining death rates observed for all other common cancers such as breast, lung, and prostate cancers, the death rates for HCC continue to increase by ~2-3% per year because HCC is frequently diagnosed late and there is no curative therapy for an advanced HCC. The early diagnosis of HCC is truly a big challenge. Over the past years, the early diagnosis of HCC has relied on surveillance with ultrasonography (US) and serological assessments of alpha-fetoprotein (AFP). However, the specificity and sensitivity of US/AFP is not satisfactory enough to detect early onset HCC. Recent technological advancements offer hope for early HCC diagnosis. Herein, we review the progress made in HCC diagnostics, with a focus on emerging imaging techniques and biomarkers for early disease diagnosis.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)