Antitumor activity of recombinant human tumor necrosis factor in combination with hyperthermia against heterotransplanted human prostatic carcinoma and its lymph node metastasis in nude mice.

The antitumor activity of recombinant human tumor necrosis factor (rhTNF) against heterotransplanted human prostatic carcinoma (PC-3) and spontaneous lymphatic tumor metastasis was studied in vivo. The spontaneous lymphatic metastasis of PC-3 tumor was found in approximately 50% of cases. Significant antitumor activity was observed with repeated intratumoral administration of a large dose of rhTNF, not only on the subcutaneous tumor xenografts but also on the lymph node metastases. Strong antitumor activity could be achieved even with the intratumoral administration of a small dose of rhTNF in combination with mild hyperthermia on either the transplanted tumors or on the metastatic tumors.     

Development and validation of a nomogram to predict overall survival of T1 esophageal squamous cell carcinoma patients with lymph node metastasis

PurposeTo develop a nomogram for predicting the prognosis of T1 esophageal squamous cell carcinoma (ESCC) patients with positive lymph node.MethodsT1 ESCC patients with lymph node metastasis diagnosed between 2010 and 2015 were selected from the Surveillance, Epidemiology, and Final Results (SEER) database. The entire cohort was randomly divided in the ratio of 7:3 into a training group (n=457) and validation group (n=192), respectively. Prognostic factors were identified by univariate and multivariate Cox regression models. Harrell''s concordance index (C-index), receiver operating characteristic (ROC) curve, and calibration curve were used to evaluate the discrimination and calibration of the nomogram. The accuracy and clinical net benefit of the nomogram compared with the 7^th AJCC staging system were evaluated using net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA).ResultsThe nomogram consisted of eight factors: insurance, T stage, summary stage, primary site, radiation code, chemotherapy, surgery, and radiation sequence with surgery. In the training and validation cohorts, the AUCs exceeded 0.700, and the C-index scores were 0.749 and 0.751, respectively, indicating that the nomogram had good discrimination. The consistency between the survival probability predicted by the nomogram and the actual observed probability was indicated by the calibration curve in the training and validation cohorts. For NRI>0 and IDI>0, the predictive power of the nomogram was more accurate than that of the 7^th AJCC staging system. Furthermore, the DCA curve indicated that the nomogram achieved better clinical utility than the traditional system.ConclusionsUnlike the 7^th AJCC staging system, the developed and validated nomogram can help clinical staff to more accurately, personally and comprehensively predict the 1-year and 3-year OS probability of T1 ESCC patients with lymph node metastasis.     

Computed tomography-based radiomic model at node level for the prediction of normal-sized lymph node metastasis in cervical cancer

PurposeRadiomic models have been demonstrated to have acceptable discrimination capability for detecting lymph node metastasis (LNM). We aimed to develop a computed tomography–based radiomic model and validate its usefulness in the prediction of normal-sized LNM at node level in cervical cancer.MethodsA total of 273 LNs of 219 patients from 10 centers were evaluated in this study. We randomly divided the LNs from the 2 centers with the largest number of LNs into the training and internal validation cohorts, and the rest as the external validation cohort. Radiomic features were extracted from the arterial and venous phase images. We trained an artificial neural network (ANN) to develop two single-phase models. A radiomic model reflecting the features of two-phase images was also built for directly predicting LNM in cervical cancer. Moreover, four state-of-the-art methods were used for comparison. The performance of all models was assessed using the area under the receiver operating characteristic curve (AUC).ResultsAmong the models we built, the models combining the features of two phases surpassed the single-phase models, and the models generated by ANN had better performance than the others. We found that the radiomic model achieved the highest AUCs of 0.912 and 0.859 in the training and internal validation cohorts, respectively. In the external validation cohort, the AUC of the radiomic model was 0.800.ConclusionWe constructed a radiomic model that exhibited great ability in the prediction of LNM. The application of the model could optimize clinical staging and decision-making.     

Prediction of lymph node metastasis in oral squamous cell carcinoma based on protein profile

Objective: Lymph node metastasis leads to high mortality rates of oral squamous cell carcinoma (OSCC). However, it is still controversial to define clinically negative neck (cN0) and positive neck (cN1-3).

Methods: We retrieved candidate biomarkers identified by proteomic analysis in OSCC from published works of literature. In training stage, immunohistochemistry (IHC) analysis was used to determine the expression of proteins and logistic regression models with stepwise variable selection were used to identify potential factors that might affect lymph node metastasis and life status. Furthermore, the prediction model was validated in validating stage.

Results: We screened eight highly expressed proteins related to lymph node metastasis in OSCC and found that the expression levels of SOD2, BST2, CAD, ITGB6, and PRDX4 were significantly elevated in patients with lymph node metastasis compared to the patients without lymph node metastasis. Furthermore, in training and validating stages, the prediction model base on the combination of CAD, SOD2 expression levels, and histopathologic grade was developed and validated in patients with OSCC.

Conclusions: Our findings showed that the developed model well predicts the lymph node metastasis and life status in patients with OSCC, independent of TNM stage.     

Development and validation of hub genes for lymph node metastasis in patients with prostate cancer

Lymph node metastasis is one of the most important independent risk factors that can negatively affect the prognosis of prostate cancer (PCa); however, the exact mechanisms have not been well studied. This study aims to better understand the underlying mechanism of lymph node metastasis in PCa by bioinformatics analysis. We analysed a total of 367 PCa cases from the cancer genome atlas database and performed weighted gene co‐expression network analysis to explore some modules related to lymph node metastasis. Gene Ontology analysis and pathway enrichment analysis were conducted for functional annotation, and a protein‐protein interaction network was built. Samples from the International Cancer Genomics Consortium database were used as a validation set. The turquoise module showed the most relevance with lymph node metastasis. Functional annotation showed that biological processes and pathways were mainly related to activation of the processes of cell cycle and mitosis. Four hub genes were selected: CKAP2L, CDCA8, ERCC6L and ARPC1A. Further validation showed that the four hub genes well‐distinguished tumour and normal tissues, and they were good biomarkers for lymph node metastasis of PCa. In conclusion, the identified hub genes facilitate our knowledge of the underlying molecular mechanism for lymph node metastasis of PCa.     

Clinical predictors of right upper paraesophageal lymph node metastasis from papillary thyroid carcinoma

ABSTRACT: BACKGROUND: Central and lateral lymph node metastases are quite common in patients with papillary thyroid carcinoma, and the predictors for those metastases have been well studied. Right upper paraesophageal lymph node metastasis has rarely been studied. The aim of this study was to identify the clinicopathological characteristics that may be risk factors for right upper paraesophageal lymph node metastasis in patients with papillary thyroid carcinoma. METHODS: This was a prospective observational study of 243 patients with papillary thyroid carcinoma (PTC) who underwent total thyroidectomy and comprehensive central lymph node dissection with or without lateral lymph node dissection between April 2008 and January 2010. The clinicopathologic findings from these patients were investigated and the patterns of lymph node metastasis were analyzed in the patients who had right upper paraesophageal lymph node disease. RESULTS: Of the 243 patients undergoing lymph node dissection, 14 had right upper paraesophageal lymph node metastases. Two of these patients had right upper paraesophageal lymph node metastasis only, without central compartment metastasis. Univariate analysis of clinicopathologic findings showed that right upper paraesophageal lymph node metastasis had significant association with larger primary tumors, multifocal tumors, extrathyroid extension, and lymphatic invasion (p <0.05 for each factor). CONCLUSIONS: Although there were no independent predictors of right upper paraesophageal lymph node metastasis, it can be the only site of metastasis without other compartmental metastasis. Therefore, during surgery for patients with central or lateral lymph node metastases from PTC, it may be helpful to examine the right upper paraesophageal lymph nodes.     

Nicotinamide N-methyltransferase upregulation inversely correlates with lymph node metastasis in oral squamous cell carcinoma

We investigated expression levels of Nicotinamide N-Methyltransferase (NNMT), an enzyme involved in the biotransformation of many drugs and xenobiotic compounds, in oral squamous cell carcinoma (OSCC). Measurements were performed by semi-quantitative RT-PCR and quantitative real-time PCR in tumor and matched adjacent healthy tissue. Interestingly, NNMT was up-regulated in most of the favorable OSCCs, while no marked NNMT expression alterations between tumor and normal mucosa were detected in most of the unfavorable OSCCs. Western blot and immunohistochemical analyses also were performed and the relationship between tumor characteristics and NNMT levels in OSCC were studied to evaluate the effectiveness of NNMT as a prognostic marker in the squamous cell carcinoma of the oral cavity. In summary, the present study suggests that NNMT may have potential as a biomarker and a therapeutic target for OSCC.     

Initial steps in lymph node metastasis formation in an experimental system: possible involvement of recognition by macrophage C-type lectins

 We used histological observations and experiments with fluorescent cell tracers to investigate the roles of tissue macrophages in recognition through a galactose/N-acetylgalactosamine-specific C-type lectin (mMGL) in lymph node metastasis formation by mouse ovarian tumor OV2944-HM-1 (HM-1) cells. Lymph node metastasis from subcutaneous sites was shown to be initiated by the entry of tumor cells into the subcapsular sinus of lymph nodes where mMGL-positive cells were mainly located. To investigate whether mMGL-positive cells contributed to host resistance against lymph node metastasis, we repeatedly treated mice bearing transplanted tumors with an mMGL-blocking monoclonal antibody that was known to inhibit mMGL binding to its ligands. The number of HM-1 cells recovered from lymph nodes 2 weeks after subcutaneous injections was significantly greater when the mice were treated with the blocking anti-mMGL antibody. These results suggested that mMGL-positive macrophages contributed to the host's defense against lymph node metastasis. Received: 30 July 1999 / Accepted: 1 November 1999     

Expression of cytokeratin 19 and matrix metalloproteinase 2 predicts lymph node metastasis in hepatocellular carcinoma

The purpose of this study was to assess the value of cytokeratin 19 (CK19) and matrix metalloproteinase 2 (MMP-2) in predicting lymph node metastasis (LNM) and survival after curative resection in hepatocellular carcinoma (HCC) patients. Expression of CK19 and MMP-2 in tumor tissue was assessed through immunohistochemical staining of tissue microarrays (TMAs), which were constructed using samples from HCC patients with (n = 123) and without (n = 145) LNM. Positive CK19 expression was correlated with LNM (P < 0.001), satellite lesions (P = 0.016), and lymph node location (P = 0.039). High MMP-2 expression correlated with LNM (P < 0.001), UICC T stage (P = 0.023), and Edmondson grade (P = 0.022). Moreover, CK19 expression correlated with MMP-2 expression (P = 0.033). CK19 and MMP-2 expression were predictive of HCC LNM (AUC: 0.640; 95% CI: 0.572–0.707; P < 0.001 and AUC: 0.611; 95% CI: 0.544–0.679; P = 0.002, respectively). CK19 and MMP-2 expression were independent prognostic factors for disease-free survival (P = 0.031 and P = 0.012, respectively) and overall survival (P = 0.013 and P = 0.018, respectively) in HCC patients with LNM. CK19 expression (P < 0.001), MMP-2 expression (P = 0.006), and UICC T stage (P < 0.001) were independent risk factors for developing LNM in HCC. These findings show that CK19 and MMP-2 expression may be beneficial in predicting HCC LNM and survival.     

Expressed proteome analysis of human hepatocellular carcinoma in nude mice (LCI-D20) with high metastasis potential

We report for the first time an expressed proteome for human hepatocellular carcinoma (HCC) in nude mice model. Most cases of human liver cancer are HCC with highly metastatic ability. Therefore, the early prediction or diagnosis and effective treatment are the key points of research. We have previously successfully established a human HCC nude mice model (LCI-D20) with high metastasis potential. To understand better the tumor biology of HCC it is worth to explore the relativity of all expressed protein profiles in the LCI-D20 HCC nude mice model. With advanced proteomics technologies, we have carried out a proteomic analysis with following stages: protein sample preparation of cancer tissue, including total cellular extraction and sequential fractionation, 2-DE and 2-D LC separation, ESI/MALDI-MS/MS identification, as well as data-dependent bioinformatics. The identified proteins were classified bioinformatically respective to their function, biological process and intracellular localization. Some important proteins found in HCC, e.g. metabolism enzymes, proteins regulating cell motility, signaling proteins, and heat shock proteins, are discussed in terms of their metastasis.     

An attempt to isolate genes responsible for spontaneous and experimental metastasis in the mouse model

Cancer develops and progresses as genetic alterations occur subsequently. Onset process of cancer has become well understood in some types of cancer, such as colorectal cancers. In this process, responsible alterations were identified in numbers of oncogenes such as k-ras, and tumor suppressor genes such as p53, as Vogelstein proposed earlier in the multistage carcinogenesis theory. In contrast, our understanding remains short to draw such an adequate diagram for the process during which cancer becomes more malignant, i.e., metastatic. To examine the molecular basis for this progression step, mouse metastasis models have been established where tumor cell lines are inoculated into mice and metastasize to specific organs. The model using B16 melanoma cells is one of the most developed. BL6 subline, one of the most metastatic, was obtained from F10 subline simply through six rounds of in vitro selection. Nonetheless, BL6 cells metastasize lungs much more heavily than F10 cells when injected subcutaneously. The difference in gene expression between the two sublines is considered rather small but relevant for spontaneous metastasis. We began our research by elaborating a method for the construction of subtracted cDNA libraries, and made it applicable to BL6 and F10 cells. As a result, we were able to isolate a couple of genes that were expressed differently between the two sublines. As might be expected, each of the genes appeared to play a role more or less in distinct aspects of spontaneous metastasis of B16 melanoma cells. Moreover, similar roles were expected for the genes in the process by which human melanoma cells metastasize.     

Methylation of the DFNA5 increases risk of lymph node metastasis in human breast cancer

The pathogenesis of breast cancer involves multiple genetic and epigenetic events. In this study, we report an epigenetic alteration of DFNA5 in human breast cancer. DFNA5 gene was silenced in breast cancer cell lines that were methylated in the DFNA5 promoter, and restored by treatment with the demethylating agent, 5-aza-dC, and gene knock-down of DFNA5 increased cellular invasiveness in vitro. The mRNA expression of DFNA5 in breast cancer tissues was down-regulated as compared to normal tissues. Moreover, the DFNA5 promoter was found to be methylated in primary tumor tissues with high frequency (53%, 18/34). Quantitative methylation-specific PCR of DFNA5 clearly discriminated primary breast cancer tissues from normal breast tissues (15.3%, 2/13). Moreover, methylation status of DFNA5 was correlated with lymph node metastasis in breast cancer patients. Our data implicate DFNA5 promoter methylation as a novel molecular biomarker in human breast cancer.     

Cytologic diagnosis of axillary lymph node metastasis in breast cancer

OBJECTIVE: To compare imprint cytology with histology as a method for rapid intraoperative diagnosis of axillary lymph node metastasis in breast cancer. STUDY DESIGN: We evaluated imprint cytology, comparing it with histopathology. A sample of 635 axillary lymph nodes was studied by imprint cytology using both Giemsa stain and hematoxylin-eosin. The results were compared with each other and with those of histopathologic examination. RESULTS: The Giemsa stain method, as compared to histopathology, had 94% accuracy, 97% sensitivity, 90% specificity and 94% positive prognostic value. The hematoxylin-eosin stain method was less accurate than the Giemsa stain method as compared to histopathology (accuracy 91%, sensitivity 96%, specificity 83% and positive prognostic value 92%). CONCLUSION: These data confirm the value of imprint cytology as a rapid, reliable method of intraoperative assessment of axillary lymph node metastasis in breast cancer. It results in better staging of the disease. It can be used intraoperatively, as an alternative to frozen section, if a pathology laboratory is not available, to exclude stage I patients from further treatment.     

Proteome analysis and tissue microarray for profiling protein markers associated with lymph node metastasis in colorectal cancer

BACKGROUND: Understanding the proteins associated with lymph node metastasis (LNM) in colorectal cancer (CRC) will benefit us in the prediction of CRC prognosis and provide us new potential targets in the intervention of CRC. The aim of this study is to investigate the LNM-associated proteins and to evaluate the clinicopathological characteristics of these target proteins' expression in CRC. METHODS: Fresh tumor and paired normal mucosa from five cases for each group of non-LNM CRC and LNM CRC were analyzed by two-dimensional electrophoresis coupled with MALDI-TOF-MS, followed by Western blotting confirmation. In 40 paraffin-embedded CRC samples, each for non-LNM CRC and LNM CRC, four differentially expressed proteins identified by proteomics analysis were detected by tissue microarray with immunohistochemistry staining to access the clinicopathological characteristics of these proteins in LNM of CRC. RESULTS: Twenty-five proteins were found to be differentially expressed between normal mucosa and CRC tissue. Increased expression levels of heat shock protein-27 (HSP-27), glutathione S-transferase (GST), and Annexin II, but a decreased expression level of liver-fatty acid binding protein (L-FABP), existed in LNM CRC as compared with non-LNM CRC (p<0.01 or p<0.05, respectively). CONCLUSION: The techniques of proteomic analysis combined with tissue microarray provide us a dramatic tool for screening of LNM-associated proteins in cancer research. The increased expression of HSP-27, GST, and Annexin II, but decreased expression of L-FABP, suggests a significantly elevated incidence of LNM in CRC.     

Impact of middle and lower jugular neck dissection on supraclavicular lymph node metastasis from endometrial carcinoma

ABSTRACT: Supraclavicular lymph node metastasis from endometrial carcinoma is considerably rarer than metastasis from uterine cervical cancer. To date, there have been no reported cases regarding systematic neck dissection as a salvage treatment. In this report, we describe the neck dissection procedure carried out on a 74-year-old woman with supraclavicular lymph node metastasis. Our objective was to histologically determine the origin of the metastasis while simultaneously providing appropriate treatment. The patient's past medical history included two prior cases of cancer: rectal cancer 7?years earlier and endometrial adenocarcinoma 4?years earlier. We determined that middle and lower jugular neck dissection was appropriate in treating this case based on the results of our preoperative FDG-PET and tumor markers. This surgery provided histological evidence that metastasis occurred from endometrial carcinoma. Middle and lower jugular neck dissection was expected to improve the patient's prognosis without impacting the patient's active daily life. We have continued to monitor the patient closely over an extended period.     

RAB25 expression is epigenetically downregulated in oral and oropharyngeal squamous cell carcinoma with lymph node metastasis

Oral and oropharyngeal squamous cell carcinoma (OOSCC) have a low survival rate, mainly due to metastasis to the regional lymph nodes. For optimal treatment of these metastases, a neck dissection is required; however, inaccurate detection methods results in under- and over-treatment. New DNA prognostic methylation biomarkers might improve lymph node metastases detection. To identify epigenetically regulated genes associated with lymph node metastases, genome-wide methylation analysis was performed on 6 OOSCC with (pN+) and 6 OOSCC without (pN0) lymph node metastases and combined with a gene expression signature predictive for pN+ status in OOSCC. Selected genes were validated using an independent OOSCC cohort by immunohistochemistry and pyrosequencing, and on data retrieved from The Cancer Genome Atlas. A two-step statistical selection of differentially methylated sequences revealed 14 genes with increased methylation status and mRNA downregulation in pN+ OOSCC. RAB25, a known tumor suppressor gene, was the highest-ranking gene in the discovery set. In the validation sets, both RAB25 mRNA (P = 0.015) and protein levels (P = 0.012) were lower in pN+ OOSCC. RAB25 mRNA levels were negatively correlated with RAB25 methylation levels (P < 0.001) but RAB25 protein expression was not. Our data revealed that promoter methylation is a mechanism resulting in downregulation of RAB25 expression in pN+ OOSCC and decreased expression is associated with lymph node metastasis. Detection of RAB25 methylation might contribute to lymph node metastasis diagnosis and serve as a potential new therapeutic target in OOSCC.