AIM: Macrophage migration inhibitory factor (MIF) was reported to inactivate p53 and play an essential role in the growth and angiogenesis of tumors that arise at sites of chronic inflammation. Gastric inflammation is...AIM: Macrophage migration inhibitory factor (MIF) was reported to inactivate p53 and play an essential role in the growth and angiogenesis of tumors that arise at sites of chronic inflammation. Gastric inflammation is a prerequisite for the development of gastric carcinoma (GC), which has recently been linked to Helicobacter pylori (H pylori) infection. This study aimed to investigate dinicopathological significance of MIF expression in GCs. METHODS: We selected 90 consecutive patients with GCs for investigation of the relation among MIF status, clinicopathological parameters, p53 expression and angiogenesis. MIF and p53 expression was assessed by immunohistochemistry as positive and negative groups. Tumor vascularity was evaluated by counting microvessel density on anti-CD34 stained sections. Expression status of MIF was correlated with determined dinicopathological data, p53 immunoreactivity and microvessel counts. RESULTS: Strong immunostainings of MIF were observed in the cytoplasm of cancerous cells in 40% (36/90) of cases but not in normal or metaplastic epithelia. There was no statistically significant correlation between MIF expression and age, gender, H pylori infection, tumor location, histological subtypes, lymph node metastasis or p53 expression. Early GC less frequently overexpressed MIF as compared to advanced GCs (4/20 vs 32/70, P= 0.04). A remarkably increased microvessel count was noted in GCs with MIF expression than those without MIF expression (55.1±30.1 vs 31.3±28.8, P= 0.0001). CONCLUSION: Our results suggest that expression of MIF may contribute to the progression and enhanced angiogenesis in a substantial portion of GCs.展开更多
AIM： To examine the gene expression profile of gastric cancer （GC） by combination of laser capture microdissection （LCM） and microarray and to correlate the profiling with histological subtypes. METHODS： Using L...AIM： To examine the gene expression profile of gastric cancer （GC） by combination of laser capture microdissection （LCM） and microarray and to correlate the profiling with histological subtypes. METHODS： Using LCM, pure cancer cells were procured from 45 cancerous tissues. After procurement of about 5 000 cells, total RNA was extracted and the quality of RNA was determined before further amplification and hybridization. One microgram of amplified RNA was converted to cDNA and hybridized to cDNA microarray. RESULTS： Among 45 cases, only 21 were qualified for their RNAs. A total of 62 arrays were performed. These included 42 arrays for cancer （21 cases with dyeswab duplication） and 20 arrays for non-tumorous cells （10 cases with dye-swab duplication） with universal reference. Analyzed data showed 504 genes were differentially expressed and could distinguish cancerous and non-cancerous groups with more than 99% accuracy. Of the 504 genes, trefoil factors 1, 2, and 3 were in the list and their expression patterns were consistent with previous reports. Immunohistochemical staining of trefoil factor 1 was also consistent with the array data. Analyses of the tumor group with these 504 genes showed that there were 3 subgroups of GC that did not correspond to any current classification system, including Lauren＇s dassification. CONCLUSION： By using LCM, linear amplification of RNA, and cDNA microarray, we have identified a panel of genes that have the power to discriminate between GC and non-cancer groups. The new molecular classification and the identified novel genes in gastric carcinogenesis deserve further investigations to elucidate their clinicopathological significance.展开更多
基金Supported by the Grants From National Science Council (NSC2314-B002-122,123,124), Executive Yuan, Taiwan, China
文摘AIM: Macrophage migration inhibitory factor (MIF) was reported to inactivate p53 and play an essential role in the growth and angiogenesis of tumors that arise at sites of chronic inflammation. Gastric inflammation is a prerequisite for the development of gastric carcinoma (GC), which has recently been linked to Helicobacter pylori (H pylori) infection. This study aimed to investigate dinicopathological significance of MIF expression in GCs. METHODS: We selected 90 consecutive patients with GCs for investigation of the relation among MIF status, clinicopathological parameters, p53 expression and angiogenesis. MIF and p53 expression was assessed by immunohistochemistry as positive and negative groups. Tumor vascularity was evaluated by counting microvessel density on anti-CD34 stained sections. Expression status of MIF was correlated with determined dinicopathological data, p53 immunoreactivity and microvessel counts. RESULTS: Strong immunostainings of MIF were observed in the cytoplasm of cancerous cells in 40% (36/90) of cases but not in normal or metaplastic epithelia. There was no statistically significant correlation between MIF expression and age, gender, H pylori infection, tumor location, histological subtypes, lymph node metastasis or p53 expression. Early GC less frequently overexpressed MIF as compared to advanced GCs (4/20 vs 32/70, P= 0.04). A remarkably increased microvessel count was noted in GCs with MIF expression than those without MIF expression (55.1±30.1 vs 31.3±28.8, P= 0.0001). CONCLUSION: Our results suggest that expression of MIF may contribute to the progression and enhanced angiogenesis in a substantial portion of GCs.
基金National Science Council, NSC-91-3112-B002-007, Taipei, Taiwan, China
文摘AIM： To examine the gene expression profile of gastric cancer （GC） by combination of laser capture microdissection （LCM） and microarray and to correlate the profiling with histological subtypes. METHODS： Using LCM, pure cancer cells were procured from 45 cancerous tissues. After procurement of about 5 000 cells, total RNA was extracted and the quality of RNA was determined before further amplification and hybridization. One microgram of amplified RNA was converted to cDNA and hybridized to cDNA microarray. RESULTS： Among 45 cases, only 21 were qualified for their RNAs. A total of 62 arrays were performed. These included 42 arrays for cancer （21 cases with dyeswab duplication） and 20 arrays for non-tumorous cells （10 cases with dye-swab duplication） with universal reference. Analyzed data showed 504 genes were differentially expressed and could distinguish cancerous and non-cancerous groups with more than 99% accuracy. Of the 504 genes, trefoil factors 1, 2, and 3 were in the list and their expression patterns were consistent with previous reports. Immunohistochemical staining of trefoil factor 1 was also consistent with the array data. Analyses of the tumor group with these 504 genes showed that there were 3 subgroups of GC that did not correspond to any current classification system, including Lauren＇s dassification. CONCLUSION： By using LCM, linear amplification of RNA, and cDNA microarray, we have identified a panel of genes that have the power to discriminate between GC and non-cancer groups. The new molecular classification and the identified novel genes in gastric carcinogenesis deserve further investigations to elucidate their clinicopathological significance.
