ObjectiveTo investigate the diagnosis and treatment value of multi-disciplinary team (MDT) model in patient with gastrointestinal stromal tumor (GIST) with liver metastasis.MethodThe experiences of MDT model in treating huge (>10 cm) GIST with liver metastasis in the Affiliated Hospital of North Sichuan Medical College on August 2018 were summarized.ResultsThe 46 years old female patient diagnosed with intestinal stromal tumor with liver metastasis at the initial visit. There was no chance of surgery. After the neoadjuvant therapy, the tumor was shrunk. After 2 MDT discussions, the R0 resection of the primary tumor or metastases was successfully performed. And then the patient continued to receive the oral imatinib 600 mg/d. The current overall survival was 31 months till now. No recurrence of the tumor was observed and the follow-up was still continued.ConclusionsTyrosine kinase inhibitors combined metastasectomy may be the most appropriate treatment for patient diagnosed with GIST with liver metastasis, which can improve the survival. In clinical work, MDT model could be used reasonably and carried out during the whole treatment process to provide the best treatment option for patient with GIST with liver metastasis.
Objective To determine feasibility of texture analysis of CT images for the discrimination of hepatic epithelioid hemangioendothelioma (HEHE) and liver metastases of colon cancer. Methods CT images of 9 patients with 19 pathologically proved HEHEs and 18 patients with 38 liver metastases of colon cancer who received treatment in West China Hospital of Sichuan University from July 2012 to August 2016 were retrospectively analyzed. Results Thirty best texture parameters were automatically selected by the combination of Fisher coefficient (Fisher)+classification error probability combined with average correlation coefficients (PA)+mutual information (MI). The 30 texture parameters of arterial phase (AP) CT images were distributed in co-occurrence matrix (22 parameters), run-length matrix (1 parameter), histogram (4 parameters), gradient (1 parameter), and autoregressive model (2 parameters). The distribution of parameters in portal venous phase (PVP) were co-occurrence matrix (18 parameters), run-length matrix (2 parameters), histogram (7 parameters), gradient (2 parameters), and autoregressive model (1 parameter). In AP, the misclassification rates of raw data analysis (RDA)/K nearest neighbor classification (KNN), principal component analysis (PCA)/KNN, linear discriminant analysis (LDA)/KNN, and nonlinear discriminant analysis, and nonlinear discriminant analysis (NDA)/artificial neural network (ANN) was 38.60% (22/57), 42.11% (24/57), 8.77% (5/57), and 7.02% (4/57), respectively. In PVP, the misclassification rates of RDA/KNN, PCA/KNN, LDA/KNN, and NDA/ANN was 26.32% (15/57), 28.07% (16/57), 15.79% (9/57), and 10.53% (6/57), respectively. The misclassification rates of AP and PVP images had no statistical significance on the misclassification rates of RDA/KNN, PCA/KNN, LDA/KNN, and NDA/ANN between AP and PVP (P>0.05). Conclusion The texture analysis of CT images is feasible to identify HEHE and liver metastases of colon cancer.
Objective To investigate the mechanism, manifestation, diagnosis and treatment of liver metastasis from breast cancer. Methods The literatures on liver metastasis of breast cancer in PubMed and CNKI Journal Full-text Database were reviewed. Results There are many related studies on the liver metastasis of breast cancer. The diagnosis methods of breast cancer with liver metastasis include CT, B-ultrasound, magnetic resonance imaging, inspection related serological index, pathological biopsy, etc. In the treatment, including systemic treatment and local treatment. However, the transfer mechanism has not been fully clarified, and the clinical manifestations are more prominent. Conclusions Although the liver metastasis of breast cancer incidence is relatively low, but seriously affected the quality of life of patients with breast cancer and prognosis, it is needed to further study and explore the mechanism, provide the basis for the diagnosis and treatment of liver metastasis of breast cancer, achieve long-term prognosis better.
Objective To investigate the risk factors of liver metastasis in patients with middle and low rectal cancer of Ⅱ–Ⅲ stage after preoperative short course radiotherapy combined with chemotherapy. MethodsThe clinical data of 89 patients with middle and low rectal cancer of Ⅱ–Ⅲ stage admitted to the Dongnan Hospital of Xiamen University from January 2019 to June 2020 were retrospectively analyzed. All patients were treated with short-course radiotherapy combined with chemotherapy before operation. The risk factors of postoperative liver metastasis were analyzed by multivariate logistic regression. ResultsThe 89 patients were followed up for 7–53 months, with a median follow-up time of 33 months. During the follow-up period, 25 patients developed liver metastasis, the onset time was 7–35 months, and the median time of liver metastasis was 17 months. Among them, 5 patients (5.6%) developed liver metastasis in the first year after surgery, 15 patients (16.8%) developed liver metastasis at the second year after surgery, 5 patients (5.6%) developed liver metastasis at the 3rd year after surgery. Multivariate logistic regression results showed that lymph node metastasis [OR=3.550, 95%CI (1.425, 8.953), P=0.041], vascular invasion [OR=3.335, 95%CI (1.011, 11.001), P=0.048], maximum tumor diameter ≥5 cm [OR=4.477, 95%CI (1.273, 15.743), P=0.019], and peri-tumor diameter ≥1/2 [OR=4.633, 95%CI (1.387, 15.475), P=0.013] were risk factors for liver metastasis. ConclusionsLymph node metastasis, vascular invasion, maximum tumor diameter ≥5 cm, and circumferential tumor diameter ≥1/2 are risk factors for liver metastasis in patients with middle and low rectal cancer of Ⅱ–Ⅲ stage after preoperative short course radiotherapy combined with chemotherapy.
This study aims to investigate the value of pre-treatment computed tomography (CT) texture analysis in predicting therapeutic response of liver metastasis from colorectal cancer after combined targeting chemotherapy. A total of 82 patients with colorectal cancer liver metastases who underwent chemotherapy combined with targeted therapy (cetuximab) between March 2011 and October 2017 comprised this retrospective study population. According to the RECIST1.1, the best curative effect evaluation of patients was recorded. Complete response (CR) and partial response (PR) were assigned to the response group, and the stable disease (SD) and progressive disease (PD) were assigned to the non-response group. The CT texture analysis was based on the Omini-Kinetics software, and the three-dimensional (3D) texture analysis was performed on the marked lesion on portal phase. The differences of texture parameters between the response group and the non-response group were compared. The receiver operating characteristic (ROC) curves were depicted on the parameters which with statistically difference, to characterize value in predicting the response to target-combined chemotherapy. The differences of Entropy, Energy, Variance, std. Deviation, Quantile95 and sumEntropy between the two groups in pre-treatment lesions were significant (P < 0.05). And lesions with higher Entropy, lower Energy, higher Variance, higher std Deviation and higher sumEntropy seemed to indicate a better therapeutic response. When sumEntropy > 0.867, good diagnostic efficiency could be obtained, with sensitivity of 60.5% and specificity of 79.5%, respectively. In conclusion, texture parameters derived from baseline CT images of colorectal cancer liver metastasis have the potential value acting as imaging biomarkers in predicting tumor response to combined target chemotherapy.
ObjectiveTo summarize the research progress and clinical efficacy of hepatic artery infusion chemotherapy in the treatment of colorectal cancer liver metastasis.MethodThe literatures of hepatic artery infusion chemotherapy for colorectal cancer liver metastasis were collected and reviewed.ResultsThe incidence of colorectal cancer liver metastasis was high, which affected the prognosis of patients. Surgical treatment was the preferred treatment for colorectal cancer liver metastasis. Hepatic arterial infusion chemotherapy could be used for preoperative neoadjuvant therapy and postoperative adjuvant therapy.ConclusionsHepatic arterial infusion chemotherapy is an effective local treatment for colorectal cancer liver metastasis and can be used as a supplement to surgical treatment. Compared with systemic chemotherapy, hepatic arterial infusion chemotherapy combined with systemic chemotherapy can improve the overall survival and disease-free survival, reduce the risk of intrahepatic recurrence, and improve the prognosis of patients.
ObjectiveTo investigate the clinicopathologic features of intracranial anaplastic solitary fibrous tumor (SFT)/hemangiopericytoma (HPC) and diagnosis and treatment after liver metastasis.MethodThe clinicopathologic data of patients with intracranial anaplastic SFT/HPC who had metastasized to the liver and other organs after surgery were collected from 2003 to 2019 in the Second Hospital of Lanzhou University.ResultsAll 3 patients with intracranial anaplastic SFT/HPC underwent surgical resection and supplemented with conventional radiotherapy after operation. After the initial intervention treatment, 2 patients relapsed at 10 years and 7 years after the operation, and 3 patients had liver metastases at 11, 7, and 6 years after the initial intervention treatment. One of them was accompanied by uterus, lung, and vertebral body metastases.ConclusionsIntracranial anaplastic SFT/HPC has a high risk of recurrence and extracranial metastasis. Liver is a common target organ for metastasis of anaplastic SFT/HPC, liver metastasis is delayed after initial intervention of intracranial anaplastic SFT/HPC, it requires a long-term close follow-up.
Objective To investigate the relationship between preoperative hemoglobin, albumin, lymphocyte and platelet (HALP) score, and clinicopathologic features of colon cancer, and to analyze the predictive value of HALP score for postoperative liver metastasis. Methods The clinical data of 163 patients with colon cancer admitted to the 909th Hospital of Joint Logistic Support Force (Dongnan Hospital of Xiamen University) from January 2018 to December 2019 were retrospectively analyzed. According to the occurrence of postoperative liver metastasis, the patients were divided into metastatic group (n=35) and non-metastatic group (n=128). The correlation between preoperative HAPL score and clinicopathologic features of colon cancer was analyzed. The predictive value of HALP score for postoperative liver metastasis of colon cancer was analyzed by using receiver operating characteristic (ROC) curve. The risk factors of liver metastasis after colon cancer surgery were analyzed by using univariate and multivariate logistic analysis. Kaplan-Meier risk curve was drawn, and log-rank test was used to analyze the predictive value of different HALP score for postoperative liver metastasis. Results HALP score were decreased in patients with maximum tumor diameter ≥5 cm, preoperative carcinoembryonic antigen (CEA) ≥5 μg/L, serous membrane and extrasserous infiltration, lymph node metastasis and vascular invasion, and the difference was statistically significant (P<0.05). Multivariate logistic regression analysis showed that HALP score [OR=1.467, 95%CI (1.253, 1.718), P<0.001], maximum tumor diameter [OR=3.476, 95%CI (1.475, 5.358), P=0.013], preoperative CEA level [OR= 6.197, 95%CI (2.436, 6.248), P=0.005], and lymph node metastasis [OR=2.593, 95%CI (1.667, 6.759) , P=0.003] were risk factors for postoperative liver metastasis of colon cancer. ROC curve analysis showed that the area under the curve of HALP score for predicting liver metastasis after colon cancer surgery was 0.908 (0.841, 0.974), the maximum value of the Youden index was 0.738, the optimal cut-off value of the HALP score was 35.5, the sensitivity was 0.852, the specificity was 0.886. Kaplan-Meier risk curve showed that the risk of early postoperative liver metastasis in the low HALP score group was higher than that in the high HALP score group (χ2=8.126, P=0.004). Conclusion Low HALP score in patients with colon cancer is associated with adverse prognosisi related pathological features, and is an influential factor for postoperative liver metastasis of colon cancer, and has predictive value for patients with postoperative liver metastasis of colon cancer.
ObjectiveTo summarize the molecular mechanisms and clinical treatment of gastric cancer with liver metastasis (GCLM), in order to provide new ideas for future treatment. MethodThe literatures about mechanism and treatment strategy of GCLM in recent years were searched and reviewed. ResultsMost patients with gastric cancer were in advanced stage or had developed distant metastases when they were first diagnosed, among which liver was the common site of metastasis. The complex molecular mechanisms of GCLM had not been fully clarified. Molecular mechanisms at different levels, including non-coding RNA, circulating tumor cells, exosomes, tumor microenvironment and signaling pathways, were relatively independent and interacted with each other, providing potential biomarkers and therapeutic targets for GCLM. At present, the best treatment method for patients with GCLM was mainly divided into local and systemic treatment. The local treatment included surgical treatment, radiofrequency ablation and proton beam therapy, while the systemic treatment included systemic chemotherapy, targeted therapy and immunotherapy, among which the targeted therapy and immunotherapy were the focus of recent research. ConclusionsThe mechanism of GCLM is the result of the interaction between tumor cells and the microenvironment at the site of metastasis. Understanding them is of great significance to guide clinical treatment and prognosis. At present, there is no unified treatment standard for GCLM. To achieve the ideal treatment effect, we should not only rely on single therapy, but also adopt multi-disciplinary and individual therapy according to the specific disease status of patients and the nature of tumors.
Objective To explore the research progress in molecular mechanisms, clinical diagnosis and treatment of single cell sequencing (SCS) techniques in the progression of colorectal cancer liver metastasis (CRLM). Method The literatures on SCS in CRLM at home and abroad in recent years were reviewed. Results SCS technology could perform high-throughput sequencing on the genetic information of different cell subsets at the single-cell level, which was helpful to explore the molecular mechanism of action in the occurrence, development, metastasis, immune escape and drug resistance of colorectal cancer liver metastasis. Thus making the clinical diagnosis, treatment, and prognosis of colorectal cancer more accurate. Conclusion SCS technology, as an emerging sequencing technology, can provide us with updated ideas and more perspectives to explore the occurrence and development of tumors and the prevention and treatment of tumors.