4.2 Article

Glycan profiling of endometrial cancers using lectin microarray

Journal

GENES TO CELLS
Volume 17, Issue 10, Pages 826-836

Publisher

WILEY-BLACKWELL
DOI: 10.1111/gtc.12003

Keywords

-

Funding

  1. Ministry of Education, Culture, Sports, Science, and Technology (MEXT) of Japan [23592465]
  2. Ministry of Health, Labour and Welfare Sciences (MHLW)
  3. Japan Health Science Foundation
  4. promotion of Fundamental Studies in Health Science of the Pharmaceuticals and Medical Devices Agency
  5. National Center for Child Health and Development
  6. Tokai University Research Aid
  7. Grants-in-Aid for Scientific Research [23592465, 23791210, 24791724] Funding Source: KAKEN

Ask authors/readers for more resources

Cell surface glycans change during the process of malignant transformation. To characterize and distinguish endometrial cancer and endometrium, we performed glycan profiling using an emerging modern technology, lectin microarray analysis. The three cell lines, two from endometrial cancers [well-differentiated type (G1) and poorly differentiated type (G3)] and one from normal endometrium, were successfully categorized into three independent groups by 45 lectins. Furthermore, in cancer cells, a clear difference between G1 and G3 type was observed for the glycans recognized with six lectins, Ulex europaeus agglutinin I (UEA-I), Sambucus sieboldiana agglutinin (SSA), Sambucus nigra agglutinin (SNA), Trichosanthes japonica agglutinin I (TJA-I), Amaranthus caudatus agglutinin (ACA), and Bauhinia purpurea lectin (BPL). The lectin microarray analysis using G3 type tissues demonstrated that stage I and stage III or IV were distinguished depending on signal pattern of three lectins, Dolichos biflorus agglutinin (DBA), BPL, and ACA. In addition, the analysis of the glycans on the ovarian cancer cells showed that only anticancer drug-sensitive cell lines had almost no activities to specific three lectins. Glycan profiling by the lectin microarray may be used to assess the characteristics of tumors and potentially to predict the success of chemotherapy treatment.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available