2. Ning Jia, Xi-Yao Zhong, Department of

2. Website URL:

                          Fan et al. BMC Cancer
2012, 12:316

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3. Journal name: Journal of Biomed central-cancer

4. Impact Factor: 3.288

5. Indexed by: PubMed

6. Publication year: Published on 28 July 2012.

7. Principle Author name:

                              Biao fan, Lian Hai Zhang,Yong- Ning
Jia, Xi-Yao Zhong, Department of surgery, key 
laboratory of carcinogenesis and translational research (ministry of
education), Peking university cancer hospital and institute, Beijing, china.

8. Co-authors’ name(s):

Yi GiangLiuu, AiPing
Luu, JiYou Li, Xiao JingCheng, et al. Department of pathology, Peking
university cancer hospital , Bejing,china.



9. Write an Abstract of your own:

                   The article is based on the selection
criteria of some of the new biomarkers found, for assessing in the early
detection of early tumors. The biomarkers used in the article were belonging
from the S100 family, which is the S100A9 protein. A factor that was identified
by the secreted inflammatory cells; such as neutrophils and macrophages. It
consists of calcium binding domains and also form heterodimers with one
another.The aim of this research is to investigate the expression of S100A9 in
gastric cancer and its effective role in assessment of survival rate and patient

 So a study was
conducted to investigate the cancer staging, patient prognosis and survival
rate with the expression of S100A9 inflammatory cells from gastric cancer

The comparison has been made in this study to compare S100A9
expression between the gastric cancer tissues, and in the gastric mucosa or in
the normal cells. The histopathological reports had stated the depth of tumor
invasion, histological grade, vascular invasion and lymph node metastasis.The
resected specimen were routinely assessed by immunohistochemistry staining and
the researchers find out that the presence of S100A9 is specifically located in
inflammatory cells (granulocytes, macrophages) that infiltrate gastric tissues
during inflammatory conditions. And the statistical analysis showed that
expression of this inflammatory cells are higher in infiltrating tissues than
in in case of chronic gastritis (p=0.00241). The gastric cancer stages were classified
according to the 7th edition TNM – tumor node metastasis recommended
by the American Joint Committee on Cancer. Considering that the inflammatory
cell count in gastric cancer will predict the early stage and advanced Gastric
cancer for a better prognosis.

10. Are the key words given as per norms? Gastric cancer, S100A9, infiltrating
cells, tumor staging, survival, tnm stages

11. Introduction:  Gastric cancer is one of the most aggressive
disease that continues to have a daunting impact on the global health. It is
known to be the fourth most common type of cancer and it is the second most
leading cause of cancer related death worldwide. The quest has been made to
reduce the mortality and morbidity from cancer, to make an effort to help in
the early detection and accurate prediction of tumor behavior. A correlation
between the gene from the S100 group member (S100A9 gene) and it’s positive
cells in the tumor tissue were used to compare in the gastric cancer tissues.

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

12. Hypothesis: The hypothesis has been stated
correctly and it has adequately addressed the research question.

 Research question:
Does the presence of S100A9 inflammatory cells in cancer tissues correlates a
better prognosis in gastric cancer patient?

    It is an alternative hypothesis.
Because the results obtained from various studies and analysis positively
emphasizing the research question.   

13. Research methodology: 

                   The research methodology
used in this study was prospective cohort study.

        The researcher used the samples of
surgically treated gastric cancer and the follow up of these patients were done
between the year 1998 and 2004 upto the year of 2010.The samples are assessed
with mouse anti S100A9 antibody and by immunohistochemistry staning. The stain
showed by the positive cells was magnified(200x).ROC curve were determined to
predict the pathological stage of patient with the obtained cut off value and
gene expression analysis, cell invasion, cell mobility was also assessed.


14. Sampling:

hundred & seventy six patients with gastric cancer were enrolled.

male and 53 female patients range from 26-80 years (of mean age 57 years) who
were diagnosed and surgically treated between 1998 and 2004. There is no
significant selection criteria that was handled, but samples are stratified by
the mean age group.

15. Statistical analysis:

The researchers performed
different statistical methods are-

    ROC curves were used in determining the cut
off value of the S100A9 positive inflammatory cell count In order to find out
the TNM. Chi square test was performed to report the associations between
S100A9 and S100A8 cell count and pathologic variables. Wilcoxon rank sum test
was done to associate S100A9 with TN stages. 
For comparison log rank test and survival rate was estimated with the
help of Kaplan Meier method.

16. Conclusion:

                         While coming up with
the results, immuno-histochemistry of all gastric cancer patients were positive
for the marker – S100A9.Its was expressed in infiltrating gastric tissues but
not in gastric mucosa. Presence of this S100A9 positive inflammatory cells
emphasizing the better prognosis in patient with gastric cancer. Thus the
purpose of this research was justified.

17. References:

 APA style of referencing has been used in this article.

      Because of the citing reference DOI (digital
object identifier).

of APA style follows as: author, title (non italics), journal name,
volume no, issue no, page no….

   And reference in this article is similar to
this format.

18. Other research related to the above research:

           1. Clinical significance of S100A8
and S100A9 expressions in gastric cancer.

            2. Identification of S100A8 and
S100A9 as negative regulators for lymph node metastasis of gastric

           3. CARP is a potential tumor suppressor in
gastric carcinoma and a single nucleotide polymorphism in CARP gene might
increase the risk of gastric carcinoma.

19. Your Perspective:

              Gastric cancers are commonly detected at
advanced stages when prognosis are poor, because of these difficulties Gastric
cancer is still a major health problem and a leading cause of cancer mortality
despite a worldwide decline in incidence. But Present data of some of the
developing countries indicate that the treatment of gastric cancer has become
more and more sophisticated with a tailored therapy for individual cases. In
this prospective cohort study, gastric cancer with 176 patients were enrolled.
Of these 124 males and 53 female patients who were surgically treated in Peking
cancer hospital between 1998 and 2004 were studied. The inflammatory cell count
of S100A9 by magnification of (200x) indicates that tissues that infiltrate are
having an increased positivity of S100A9 has lesser metastasis (p=.009) where
as S100A9 negative tissues increases the staging from 1 to 4(higher the
metastasis) p=.021 and the five year survival rate was 44.6% (cell
count>200) and 22.5% for cell count<200.  Treatment includes a broad spectrum of therapeutic options from EMR for selected mucosal cancers to aggressive combined treatment for LAGC. Precise knowledge of patterns of recurrence and metastases, critical evaluation of clinic pathologic variables, integration of high technology into diagnosis to predict accurately pre-treatment staging, and the surgeon's ability to perform minimally  so while seeing these discovery of new biomarkers which not only helps in the early detection of tumor behavior but it also  would improve patients survival.   20. What else could have been included?                       It could have been better if this study emphasizes the patients were already prone to infection are  not.so by keep on identifying that these type of markers mainly for more aggressive type of tumors would reduce the mortality rate from cancer death.