1. Lu,Ji-You Li,Xiao-Jing Cheng, et al. Department of

1. Title of the article:                                         Presenceof S100A9-positive inflammatory cells in cancer tissues correlates with anearly stage cancer and a better prognosis in patients with gastric cancer.

2. Website URL:                           Fan et al. BMC Cancer2012, 12:316           http://www.biomedcentral.com/1471/-2407/12/3163. Journal name: Journal of Biomed central-cancer4. Impact Factor: 3.

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2885. Indexed by: PubMed6. Publication year: Published on 28 July 2012.

7. Principle Author name:                               Biao fan, LianHai Zhang,Yong- Ning Jia, Xi-Yao Zhong, Department of surgery, key  laboratory of carcinogenesis andtranslational research (ministry of education), Peking university cancerhospital and institute, Beijing, china.8. Co-authors’ name(s):                          Yi-GiangLiu,Ai-ping Lu,Ji-You Li,Xiao-Jing Cheng, et al.

Department of pathology,Peking university cancer hospital , Bejing,china.  9. Write an Abstract of your own:                   Yes. The abstract has been written asper norms. The article is based on the selection criteria of some of the newbiomarkers found, for assessing in the early detection of early tumors. Thebiomarkers used in the article were belonging from the S100 family, which isthe S100A9 protein.

A factor that was identified by the secreted inflammatorycells; such as neutrophils and macrophages. It consists of calcium bindingdomains and also form heterodimers with one another.The objective of thisresearch is to investigate the expression of S100A9 in gastric cancer and its effectiverole in assessment of survival rate and patient prognosis. So a study wasconducted to investigate the cancer staging, patient prognosis and survivalrate with the expression of S100A9 inflammatory cells from gastric cancertissue. The comparison has been made in this study to compare S100A9expression in the gastric cancer tissues, and in the normal tissue cells. Thedepth of tumor invasion, histological grade, vascular invasion and lymph nodemetastasis were obtained from clinical and histopathological reports.The partof the resected specimen are routinely assessed by immunohistochemistry and theresearchers find out that S100A9 is specifically located in inflammatory cells(granulocytes, macrophages) that infiltrating gastric tissues duringinflammatory conditions.

And the statistical analysis showed that expression ofthis inflammatory cells are higher in infiltrating tissues than in in case ofchronic gastritis (p=0.00241). The gastric cancer stages were classifiedaccording to the 7th edition TNM – tumor node metastasis recommendedby the American Joint Committee on Cancer. Considering that the inflammatorycell count in gastric cancer will predict the early stage and advanced Gastriccancer for a better prognosis. 10. Are the key words given as per norms? Gastric cancer, S100A9, inflammatorycells, tumor staging, survival, tumor node metastasis.11. Introduction:  Gastric cancer is one of the most aggressivedisease that continues to have a daunting impact on the global health.

It isknown to be the fourth most common type of cancer and it is the second mostleading cause of cancer related death worldwide. The quest has been made toreduce the mortality and morbidity from cancer, to make an effort to help inthe early detection and accurate prediction of tumor behavior. A correlationbetween the gene from the S100 family (S100A9 gene) and it’s positive cells inthe tumor tissue were used to compare in the gastric cancer tissues.

The association of the gene had been compared with it’sanother close partner gene, i.e. S100A8 to determine their relative functionduring the progression of the disease.

  12. Hypothesis: The hypothesis has been statedcorrectly and it has adequately addressed the research question. Research question:Does the presence of S100A9 inflammatory cells in cancer tissues correlates abetter prognosis in gastric cancer patient?    It is an alternative hypothesis.Because the results obtained from various studies and analysis positively emphasizingthe research question.    13. Research methodology:                     The research methodologyused in this study was prospective cohort study.         The researcher used the samples ofsurgically treated gastric cancer patients between 1998 and 2004 and followedup until January 2010.

The samples are assessed by immunohistochemistry, withmouse anti S100A9 antibody. stain showed by the positive cells wasmagnified(200x).ROC curve were determined to predict the pathological stage ofpatient with the obtained cut off value and gene expression analysis, cellinvasion, cell mobility was also assessed.

 14. Sampling:   Onehundred & seventy six patients with gastric cancer were enrolled.124male and 53 female patients range from 26-80 years (of mean age 57 years) whowere diagnosed and surgically treated between 1998 and 2004.

There is nosignificant selection criteria that was handled, but samples are stratified bythe mean age group.15. Statistical analysis:                  The researchers performeddifferent statistical methods are-    ROC curves were used in determining the cutoff value of the S100A9 positive inflammatory cell count In order to find outthe TNM. Chi square test was performed to report the associations betweenS100A9/S100A8 cell count and pathologic variables.

Wilcoxon rank-sum test wasdone to associate S100A9 with TN stages. For comparison log-rank test and survival rate was estimated with thehelp of Kaplan –Meier method.16. Conclusion:                          While coming up withthe results, immunohistochemistry of all gastric cancer patients were positivefor this markerS100A9.Its was expressed in infiltrating gastric tissues but notin gastric mucosa.

Presence of this S100A9 positive inflammatory cells emphasizingthe better prognosis in patient with gastric cancer. Thus objective of thisresearch was justified.17. References:                APA style hasbeen used in this article.

      Because thereference citing DOI (digital object identifier).     Formatof APA style follows as: author, title (non italics), journal name,volume no, issue no, page no….   And reference in this article is similar tothis format.18. Other research related to the above research:            1.

Clinical significance of S100A8and S100A9 expressions in gastric cancer.            2. Identification of S100A8 andS100A9 as negative regulators for lymph node metastasis of gastricadenocarcinoma.           3.

CARP is a potential tumorsuppressor in gastric carcinoma and a single nucleotide polymorphism in CARPgene might increase the risk of gastric carcinoma.19. Your Perspective:              Gastric cancers are commonly detected atadvanced stages when prognosis are poor, because of these difficulties Gastriccancer is still a major health problem and a leading cause of cancer mortalitydespite a worldwide decline in incidence. But Present data of some of thedeveloping countries indicate that the treatment of gastric cancer has becomemore and more sophisticated with a tailored therapy for individual cases. Inthis prospective cohort study, 176 patients with gastric cancer were enrolled.Of these 124 males and 53 female patients who were surgically treated in Pekingcancer hospital between 1998 and 2004 were studied. S100A9 inflammatory cellcount by magnification (200x) indicates that infiltrating tissues which withincreased positivity of S100A9 has lesser metastasis (p=.009) where as S100A9negative tissues increases the staging from 1 to 4(higher the metastasis) p=.

021Five year survival rate was 44.6% (cell count>200) and 22.5% for cellcount<200. Treatment includes a broad spectrum oftherapeutic options from EMR for selected mucosal cancers to aggressivecombined treatment for LAGC. Precise knowledge of patterns of recurrence andmetastases, critical evaluation of clinic pathologic variables, integration ofhigh technology into diagnosis to predict accurately pre-treatment staging, andthe surgeon's ability to perform minimally  so while seeing these discovery of new biomarkershelps not only in early detection of tumor behavior and also  would improve patients survival. 20. What else could have been included?                      It could have been better if this studyemphasizes the patients were already prone to infection are  not.

so by keep on identifying that these typeof markers mainly for more aggressive type of tumors would reduce the mortalityrate from cancer death. 


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