Sun Yat-sen University Cancer Center (Chinese: 中山大学肿瘤防治中心;; pinyin: Zhōngshān Dàxué Zhǒngliú Fángzhì Zhōngxīn), abbreviated as SYSUCC, is a public hospital in Guangzhou, China. It is affiliated with Sun Yat-sen University.The hospital was founded in March 1964. It is a Level III Class A hospital (the highest rank in China) and the largest integrated cancer center in southern China for care, research, education and prevention.SYSUCC is ranked among the top three cancer center's in China, and is one of the best in Asia. The current President of the center is Prof. Xu Rui-Hua.[citation needed]SYSUCC is a member of the Union for International Cancer Control (UICC).
Abstract The liver is the primary target organ for hematogenous metastasis of colorectal cancer, and colorectal cancer liver metastasis is one of the key and challenging aspects in its treatment. In order to improve the diagnosis and comprehensive treatment of colorectal cancer liver metastasis, the guideline development group has summarized advanced experiences and the latest achievements from both domestic and international sources, and has once again revised and updated the Guideline for the diagnosis and comprehensive treatment of colorectal cancer liver metastases (2025 edition) to continuously provide guidance and reference for clinical practice in this field.
Tripartite motif-containing 29 (TRIM29) has been reported to be dysregulated in human cancers. Up-regulation of TRIM29 was first observed in NPC cell lines by a genome-wide transcriptome analysis in our previous study. However, its expression biological function and clinical significance in nasopharyngeal carcinoma (NPC) remain unclear. In this study, TRIM29 expression was validated by qRT-PCR and immunohistochemistry in 69 NPC samples. Notably, TRIM29 protein expression was significantly and positively correlated with the tumor size, clinical stage and metastasis. TRIM29 was identified as the direct target of miR-335-5p and miR-15b-5p, both of which were down-regulated and negatively associated with TRIM29 expression in NPC cell lines and clinical samples. Ectopic TRIM29 expression promoted proliferation, epithelial-mesenchymal transition (EMT), migration and invasion in NPC cells, while its depletion inhibited cell invasion and EMT phenotype. Mechanistically, TRIM29 overexpression reduced PTEN expression and increase phosphorylated protein level of AKT, p70S6K and 4E-BP1. Correspondingly, AKT inhibitor and Rapamycin blocked the effect of TRIM29 on cell invasion. In conclusion, our results suggest that miR-335-5p and miR-15b-5p down-regulation results in TRIM29 over-expression, which induces proliferation, EMT and metastasis of NPC through the PTEN/AKT/mTOR signaling pathway.
Alterations in chromatin remodeling genes have been increasingly implicated in human oncogenesis. Specifically, the biallelic inactivation of the SWI/SNF subunit SMARCB1 results in the emergence of extremely aggressive pediatric malignancies. Here, we developed embryonic mosaic mouse models of malignant rhabdoid tumors (MRTs) that faithfully recapitulate the clinical-pathological features of the human disease. We demonstrated that SMARCB1-deficient malignancies exhibit dramatic activation of the unfolded protein response (UPR) and ER stress response via a genetically intact MYC-p19ARF-p53 axis. As a consequence, these tumors display an exquisite sensitivity to agents inducing proteotoxic stress and inhibition of the autophagic machinery. In conclusion, our findings provide a rationale for drug repositioning trials investigating combinations of agents targeting the UPR and autophagy in SMARCB1-deficient MRTs.
Vessels encapsulating tumor clusters (VETC) and microvascular invasion (MVI) are risk factors for early recurrence after hepatectomy in patients with hepatocellular carcinoma (HCC). This study aimed to assess the performance of multiparameters of dual-phase contrast-enhanced dual-energy CT (DECT) in identifying VETC and MVI statuses noninvasively. This retrospective study enrolled 122 patients with pathologically confirmed HCC (VETC +/−, N = 57/65; MVI +/−, N = 54/68) who underwent contrast-enhanced DECT examinations. Conventional clinical information and radiological features were collected. DECT-derived multiparameters in the arterial phase (AP) and portal venous phase (PVP) were analyzed, including non-normalized effective atomic number (Zeff), electron density (ED), and iodine density (ID), and their corresponding normalized parameters (N1-2 Zeff, N1-2 ED, N1-2 ID) based on two normalization approaches (N1 = tumor-to-aorta ratio; N2 = tumor-to-liver parenchyma). The slope of the energy spectrum curve (λ) was also evaluated. Univariate and multivariate logistic regression analyses were performed to construct nomograms and conventional models. The performance of each parameter, conventional model, and nomogram for assessing VETC and MVI was assessed using the area under the receiver operating characteristic curve (AUC). Multiparameters predicted VETC and MVI with AUCs ranging from 0.64 to 0.77 (all p < 0.01). Compared with their non-normalized counterparts, the performances of N1-ZeffAP (AUC: 0.77, p = 0.01) and N1-IDAP (AUC: 0.70, p = 0.01) in predicting VETC were significantly improved, and N1-EDPVP and N1-IDPVP showed numerically higher sensitivity (88.2
Developing a novel overlap volumes-based Rapidplan model for cervical cancer radiotherapy, aiming to spare organs at risk (OARs). A retrospective analysis was conducted on 110 cases of cervical cancer patients. We utilized the planning target volume (PTV) and two organs at risk (OARs): bladder and bowelbag, as the primary protocol standards for planning. Original and unclassified dose-volume histogram (DVH) estimation models (Model-O) were trained using 80 initial plans, there are 40 cases in RMS and RML respectively. The classification criteria used the ratio of bladder volume overlapping with PTV to total bladder volume, and the ratios of bowelbag volume overlapping with PTV to total bowelbag volume. Based on the sum of these volume ratios (SVR), with thresholds of ≤ 0.4 and > 0.4, new training sets and DVH estimation models were generated, named Model-S and Model-L respectively. The plans created using Model-O were named UMO, those configured with Model-S were referred to as RMS, and the plans configured with Model-L were called RML. An analysis of dosimetric parameters for the PTV and OARs was conducted for the three automated plans. For 15 patients with SVR ≤ 0.40, UMO, RMS, and RML automatically produced clinically acceptable plans. Comparing UMO and RML, RMS reduced the high-dose region V47.25 (V105