ObjectiveTo summarize the papers about the molecular mechanisms of liver metastasis from colorectal cancer in recent years and in order to provide assistance for the diagnosis and treatment of liver metastases from colorectal cancer.MethodThe relevant literatures at home and abroad in recent years about the molecular mechanisms of liver metastasis from colorectal cancer were reviewed.ResultsThe molecular mechanism of liver metastasis from colorectal cancer is complicated. For example, microRNA-192 could inhibit liver metastasis from colorectal cancer through multiple targets, however microRNA-181a could promote liver metastasis from colorectal cancer. TGF-β inhibits liver metastasis from colorectal cancer by inhibiting cell proliferation and Smad-dependent signaling to induce apoptosis. Elevated CEA level not only help in the diagnosis of colorectal cancer, but also as a prognostic indicator for colorectal cancer patients. CEA could promote liver metastasis by affecting the survival of colorectal cancer cells in vessels, changeing the liver microenvironment, and affecting the adhesion and survival of circulating tumor cells in the liver.ConclusionsThe molecular mechanism of liver metastasis of colorectal cancer has not been fully elucidated. Through in-depth study of the mechanism of liver metastasis of colorectal cancer, it can provide molecular targets for targeted therapy in patients with liver metastases from colorectal cancer, such as bevacizumab, cetuximab, panitumab and so on. Detecting the change of serological markers in patients with colorectal cancer can help diagnose, judge recurrence, prognosis and metastasis.
ObjectiveTo summarize current treatment methods and research advances of liver metastasis in patients with gastrointestinal stromal tumor (GIST).MethodThe related literatures about treatment of liver metastasis in patients with GIST were collected and reviewed.ResultsGIST often occurred liver metastasis, which seriously affected the prognosis of patients. In the era of tyrosine kinase inhibitors (TKI) treatment, radical resection combined with TKI was the first choice. In addition, radiofrequency ablation and interventional therapy could be selected according to the patient’s condition.ConclusionsComplete resection of tumor and TKI treatment can improve the prognosis and survival rate of GIST patients with liver metastasis. GIST patients with liver metastasis need multi-disciplinary and multi-mode combined treatment.
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.
Objective To explore the clinicopathologic features and treatment of desmoplastic small round cell tumor (DSRCT). Methods By summarizing the diagnosis and treatment of a DSRCT patient with liver metastasis, who was admitted to Department of Liver Surgery in West China Hospital in October 2017, and exploring its clinicopathologic features and treatment by reviewing literatures. Results This patient was generally in good condition, after the multi-disciplinary discussion between the imaging physician, the oncologist, and the liver surgeon, it was considered that there were indications of operation, and after communicating with the patient’ families, actively chose surgical treatment. The performance was successful, and this patient was treated with adjuvant chemotherapy postoperatively. The operative time for this patient was 5 hours, and blood loss was 600 mL. There was no complication occurred, such as bleeding, bile leakage, and intestinal fistula, and discharged on 8 days after surgery. This patient was followed up for 10 months, without tumor recurrence and metastasis occurred. The results of literatures showed that, DSRCT was more common in young male population, the mean age was 12–27 years old, the longest median survival time was 39.2 months, and 3-year survival rate was 20.8%–71%. Those patients who received surgery, had longer median survival time. Conclusions DSRCT is a rare aggressive soft tissue sarcoma, which is usually diagnosed with multiple organ metastases. The treatment is mainly multi-mode treatment based on surgical resection combined with radiotherapy and chemotherapy, but the overall prognosis is poor.
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.
ObjectiveTo investigate the risk factors and establish the predictive pattern of the metachronous liver metastasis after curative surgery for patientswith gastric cancer. MethodsThe clinicopathologic data of patients who underwent radical gastric cancer surgery and met the inclusion and exclusion criteria from January 1, 2015 and January 1, 2018 in the First Hospital of Lanzhou University were retrospectively analyzed. The risk factors affecting metachronous liver metastasis of gastric cancer were screened out by univariate and multivariate logistic regression analysis. And a nomogram prediction model based on the risk factors screened out was established and its predictive efficiency was evaluated. ResultsA total of 203 patients were collected in this study, of whom 41 (20.4%) developed metachronous liver metastasis of gastric cancer. The results of multivariate logistic regression analysis showed that the tumor diameter ≥5 cm, increasing intraoperative bleeding, carcinoembryonic antigen (CEA) ≥5 μg/L, and lymphovascular invasion increased the risks of metachronous liver metastasis of gastric cancer (all P<0.05). The area under the receiver operating characteristic curve and its 95% confidence interval (95%CI) of the nomogram based on these risk factors in predicting metachronous liver metastasis of gastric cancer was 0.850 (0.793, 0.908), and the consistency index (95%CI) was 0.812 (0.763, 0.859). The calibration curve for predicting the risk of metachronous liver metastasis in gastric cancer by the nomogram was close to the 45° ideal curve and had a stronger calibration (Hosmer Limeshow goodness-of-fit test, χ2=2.116, P=0.347). ConclusionsThe results of this study conclude metachronous liver metastasis of gastric cancer is not low, and the patient with lymphovascular invasion, higher level of CEA (≥5 μg/L), more intraoperative bleeding, and larger tumor diameter (≥5 cm) has a higher risk of metachronous liver metastasis of gastric cancer. The nomogram prediction model established based on these risk factors has a good predictive efficiency and can provide reference for clinicians to identify high-risk patient and take early interventions.
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.
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.
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 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.