【Abstract】Objective To understand the features of lymphatic vessel, and to summarize the foundation and mechanism of the promotion and inhibition of tumor lymphangiogenesis recorded on the current studies of animal experiments and clinical researches. Methods The related literatures of the structural features of lymphatic vessel, lymphatic endothelial molecular markers, the origin of lymphatic tumors, the molecular mechanisms and regulatory factors were reviewed, and the relationship between tumor lymphangiogenesis and lymphatic metastasis, the treatment targeting at the formation of the anti-tumor lymphatic vessel and its existing problems were also analyzed. Results Hyperplasia of lymphatic vessels occurred during the process of tumor formation and progression. The structural features of the lymphatic vessels in the tumor were conducive to tumor lymphatic metastasis. In recent years, methods of anti-lymphangiogenesis and inhibition of tumor lymphatic metastasis had achieved considerable success in animal experiments. However, there were still a lot of problems need to be solved. Conclusion Tumor lymphangiogenesis has a significantly positive correlation between tumor lymphatic metastasis and patients’ prognosis, which may indicate that treatment against the formation of tumor lymphatic vessel maybe effective.
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 explore risk factors of lymph node metastasis (LNM) in T1 rectal cancer. Methods The retrospective case-control study was conducted. The clinicopathologic data of 247 patients with T1 rectal cancer underwent radical resection were analyzed in the pathological database of the West China Hospital from January 2000 to December 2016, including the tumor size (maximum diameter), gross type, differentiation degree, histological type, lymph vascular infiltration, perineural infiltration, and carcinoma nodule. The univariate analysis and multivariate analysis were done using the Chi-square test and logistic regression model, respectively. Results The rate of LNM in the patients with T1 rectal cancer was 8.50% (21/247). No lymph metastasis was found in the well differentiated T1 rectal cancer. The results of the univariate analysis showed that the differentiation degree, histological type, and carcinoma nodule were related to the LNM in the T1 rectal cancer (P<0.050). The results of the multivariate analysis revealed that the poor differentiation, mucinous adenocarcinoma, signet-ring cell carcinoma, and carcinoma nodule were the independent risk factors of the LNM in the T1 rectal cancer (OR=9.75, P=0.006; OR=5.98, P=0.042; OR=8.33, P=0.017; OR=10.87, P=0.026). Conclusion In this large population dataset, poor differentiation, mucinous adenocarcinoma, signet-ring cell carcinoma, and carcinoma nodule are risk factors of LNM in T1 rectal cancer.
Objectives To explore the effects of curcumin and cisplatin on A549 lung cancer cell invasion and metastasis, and explore the influence of the two drugs on matrix metalloproteinase 9 (MMP-9) and E-cadherin protein. Methods MTT assay was performed to detect the effects of curcumin, cisplatin alone and the combination on A549 lung cancer cell proliferation. Transwell assay was performed to detect the effects of curcumin, cisplatin alone and the combination on the invasion and metastasis of lung cancer cells. Western blot was used to detect the protein expression of MMP-9 and E-cadherin. Results The proliferation inhibition of A549 lung cancer cell rate in 5, 10, 20, 40 μmol/L of curcumin was 6.50%±1.06%, 11.70%±0.88%, 22.97%±0.82%, 27.93%±0.94%, respectively. Compared with control group, the proliferation inhibition rates in four different curcumin groups were significantly increased (all P<0.01). The differences in the proliferation inhibition rates among four different curcumin groups were statistically significant (allP<0.05). The proliferation inhibition rates of A549 lung cancer cell in 1, 2, 4 mg/L of cisplatin were 7.12%±0.86%, 20.07%±1.14%, 26.88%±0.51%, respectively. Compared with control group, the proliferation inhibition rates in three different cisplatin groups were significantly increased (allP<0.01). The differences in the proliferation inhibition rates among three different cisplatin groups were statistically significant (allP<0.01). The proliferation inhibition rates of A549 lung cancer cell in curcumin (20 μmol/L) combined with cisplatin (1, 2, 4 mg/L respectively) were 28.37%±0.57%, 39.72%±0.64%, 46.27%±0.86%, respectively. Compared with control group and curcumin or cisplatin used alone, the proliferation inhibition rates of three combined groups were significantly increased (allP<0.01). The invasion inhibition rates of A549 lung cancer cell in curcumin group (20 μmol/L), cisplatin group (2 mg/L) and combined group (curcumin 20 μmol/L plus cisplatin 2 mg/L) were 38.62%±0.23%, 36.52%±0.33%, 63.78%±0.59%, respectively. Compared with control group and curcumin or cisplatin used alone, the invasion inhibition rates of combined group were significantly increased (allP<0.01). The protein grey values for curcumin group (20 μmol/L), cisplatin group (2 mg/L) and combined group (curcumin 20 μmol/L plus cisplatin 2 mg/L) were 0.768±0.047, 0.654±0.104, 0.684±0.008, 0.444±0.104 (MMP-9) and 0.603±0.170, 0.792±0.050, 0.784±0.045, 0.879±0.110 (E-cadherin), respectively. Compared with control group and curcumin or cisplatin used alone, the protein grey values of combined group were significantly different (allP<0.01 orP<0.05). Conclusions Curcumin and cisplatin combination can inhibit the invasion and metastasis of lung cancer A549 cells. Its mechanism may be related to downregulating MMP-9 and upregulating E-cadherin.
ObjectiveTo explore the significance of thyroglobulin in the evaluation of lymph node metastasis during the treatment and follow-up of differentiated thyroid carcinoma.MethodThe literatures about thyroid globulin evaluation of lymph node metastasis of differentiated thyroid carcinoma were collected through online database and summarized.ResultsThe determination of thyroglobulin played an important role in the perioperative evaluation of lymph node metastasis in patients with differentiated thyroid carcinoma, the guidance of postoperative radiotherapy for metastasis, and the monitoring of recurrence and metastasis, and thyroglobulin combined with imaging examination could improve its evaluation efficiency.ConclusionsThyroglobulin is an important marker for the evaluation of lymph node metastasis in the treatment and follow-up of differentiated thyroid carcinoma. Combination between thyroglobulin and imaging examination or other laboratory indicators to comprehensively explore its diagnostic threshold is a new idea, that can improve its value in the evaluation of lymph node metastasis.
Objective To evaluate the characteristics of two angiographic manifestation of ocular fundus in choroidal metastatic carcinomas. Methods Fundus fluoresein angiography (FFA) and indocyanine green angiography (ICGA) were performed on 17 patients (24 eyes) with choroidal metastatic carcinomas, and the characteristics of these two kinds of angiograms were analyzed and compared each other. Results According to various clinical features, e.g., locations of metastatic tumor in ocular fundus, disease course, and different kinds of original malignancy, the findings of ocular fundus were divided into (1) Isolation type: FFA showed pinpoint and mottled leaks against hypofluorescence background, increased and confluent fluoresecence in later stage. ICGA showed the similar images as in FFA, except later appearance of leaks and the choroidal vesseles could be seen beneath the thin metastatic tumor mass.(2) Diffusion type: Tumors showed hypofluorescence in early stage and uneven ill-defined hyperfluorescence both in FFA and in ICGA. (3) Small metastatic carcinomas: Hypofluorescence in early stage and mild mottled hyperfluorescence were found in FFA as well as in ICGA. Conclusion Both FFA and ICGA are helpful in the diagnosis of choroidal metastatic tumors and ICGA may be conducive if there are some troubles in diagnosing the tumors with FFA. (Chin J Ocul Fundus Dis, 2002, 18: 92-95)
ObjectiveTo investigate the metastatic status and risk factors of axillary non-sentinel lymph node (NSLN) in breast cancer patients with 1–2 positive sentinel lymph nodes (SLN), and to provide theoretical basis for exemption of axillary lymph node dissection (ALND) in these patients. Methods A retrospective analysis was performed on 54 patients diagnosed with breast cancer who underwent sentinel lymph node biopsy (SLNB) and confirmed to have 1–2 positive sentinel lymph nodes (SLNS) and received ALND in the Department of Thyroid and Breast Surgery of Tongling People’s Hospital from January 2018 to April 2023. The patients were divided into NSLN metastatic group (17 cases) and NSLN non-metastatic group (37 cases) according to whether there was metastasis. Chi-square test was used to compare the basic information and clinicpathological features of the two groups. The independent risk factors for axillary NSLN metastasis were screened out by multivariate binary logistic regression model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of independent risk factors combined with axillary NSLN metastasis. Results There were 54 cases with 1–2 metastasis of SLN, 17 cases with axillary NSLN metastasis (31.5%). The incidence of axillary NSLN metastasis in patients with tumor at T1 stage (maximum diameter ≤2 cm) was only 14.3% (4/28), however, the metastatic rate of axillary NSLN in patients with tumor in T2–T3 stage (maximum diameter >2 cm) was as high as 50.0% (13/26). The axillary NSLN metastasis rate was only 21.2% (7/33) with 1 SLN metastasis, while the axillary NSLN metastasis rate was 47.6% (10/21) with 2 SLN metastasis. Univariate analysis showed that T stage (tumor diameter >2 cm), 2 SLN metastases, number of SLN >5 and tumor with vascular embolus were more likely to develop axillary NSLN metastases (P<0.05). Multivariate binary logistic regression analysis showed that T stage (tumor diameter >2 cm) and 2 SLN metastases were independent risk factors for axillary NSLN metastasis in breast cancer patients, the area under ROC curve of combined prediction of axillary NSLN metastasis by the two was 0.747, 95%CI was (0.657, 0.917), sensitivity was 0.765 and specificity was 0.649. Conclusions The combination of tumor T stage and the number of SLN metastases can better predict axillary NSLN metastasis in breast cancer patients. ALND is recommended for breast cancer patients with T stage (tumor diameter >2 cm) and 2 SLN metastases to reduce the risk of residual axillary NSLN metastasis.
Objective To investigate the influence of cationic liposomemediated endostatin gene on colorectal cancer liver metastasis. Methods Animal model for colorectal carcinoma liver metastasis were established. The plasmid expressing endostatin genelipofectAMINE were injected in vein. Results After cationic liposomemediated endostatin gene were injected in vein, the incidence of liver metastasis and mean numbers of liver tumors were decreased, survival time of animal was significantly longer. Conclusion Intravenous injection of cationic liposomemediated endostatin gene can control the development of colorectal cancer liver metastasis effectively.
Objective To investigate the feasibility and clinical value of combined treatment for lung cancer with cerebral metastasis. Methods From May 1999 to May 2005, twentyone patients diagnosed lung cancer with cerebral metastasis received treatment in our hospital. The management consists of cerebral lesion resection, chemotherapy, lung cancer resection and chemotherapy or radiotherapy. Then evaluate the short-term and long-term outcome. Results No severe complications occurred in hospital. The 1-, 2-, and 3-year survival rates were 75.0%(12/16), 37.5%(6/16), and 12.5%(2/16) respectively. Life quality was promoted significantly. Conclusion Although lung cancer with cerebral metastasis is classified as stage Ⅳ,the effect of combined treatment is favorable because of the special metastatic position. But the choice of the patient is important.
Objective To investigate the risk factors for lymph node metastasis in cT1N0M0 stage squamous cell lung cancer and develop a logistic regression model to predict lymph node metastasis. Methods A retrospective study was conducted on patients with cT1N0M0 stage lung squamous cell carcinoma in our department from August 2017 to October 2022. The correlation between basic clinical data, imaging data, and pathological data and lymph node metastasis was analyzed. Univariate and multivariate logistic regression analyses were employed for risk factor analysis. Receiver operating characteristic curves and the Hosmer-Lemeshow test were utilized to evaluate the model’s discrimination and calibration. The Bootstrap method with 1 000 resamples was employed for internal validation of the model. Results Tumor location of central-type, tumor differentiation, cytokeratin 19 fragment (CYFRA21-1) levels, and tumor size were independent risk factors for lymph node metastasis in cT1N0M0 stage squamous cell lung cancer. The optimal cutoff values for tumor size and CYFRA21-1 levels were determined to be 2.05 cm and 4.20 ng/mL, respectively. The combination of tumor location, CYFRA21-1 levels, and tumor size demonstrates superior predictive capability compared to any individual factor. Conclusion Tumor location of central-type, poorly differentiated tumors, CYFRA21-1 levels, and tumor size are risk factors for lymph node metastasis in cT1N0M0 stage lung squamous cell carcinoma. The combined predictive model has certain guiding significance for intraoperative lymph node resection strategies in cT1N0M0 stage lung squamous cell carcinoma.