Meet Inspiring Speakers and Experts at our 3000+ Global Conference Series Events with over 1000+ Conferences, 1000+ Symposiums
and 1000+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Explore and learn more about Conference Series : World's leading Event Organizer

Back

Henu Kumar Verma

PhD Student, Institute Experimental Endocrinology and Oncology (IEOS), CNR Naples, Italy

Title: Identification, Characterization of Biomarker and therapeutic Target against the Chemo resistant CSCs in Human Gastric Cancer

Biography

Biography: Henu Kumar Verma

Abstract

Gastric cancer are heterogeneous it is undying and Remains one of the leading causes of cancer-associated deaths in the worldwide specifically in emerging countries. Cancer stem cells (CSCs) are a key driving factor for growth and Metastasis. Previous studies have indicated that gastric cancer originates from cancer stem cells, and some investigators have found that a subsection of CSCs retains higher metastatic capacity. In Detailed to the conventional clonal evolution theory, CSCs can initiate tumor formation, self-renew, and differentiate into tumor-propagating cells; the success of cancer management may depend on the complete elimination of cancer stem cells. Modern treatments for gastric cancer are not satisfactory. It is needed to examine present targets of signaling pathways for CSCs in gastric cancer However, statistics reading the current characterization of CSCs in different types of tumor are inconsistent, possibly due to the jumble of CSCs with cancer progenitor cells (CPCs).Therefore, The present study aimed to isolation and characterization of tumorigenic and chemo resistant CSCs from intestinal- or diffuse-type of cardia and non-cardia gastric cancer patients by separating cell surface markers (CD44, CD90, CD24, CD133, EpCAM and ALDH) with flow-cytometer, patient-derived tumor xenograft (PDX) models in Immunodeficient mice will be developed and the tumorigenic properties of cells will be evaluated by in vitro tumor sphere assays and in vivo xenografts by limiting dilution assays further, We will be use dynamical prediction modeling approach to representing a cell fate assumption network in the gastric cancer cell line from databases to preclinical discovery of efficient anticancer drug combinations, to modify treatment to distinct cancer patients. This Study will be led to the hypothesis of how CSCs are developing resistant power from conventional chemotherapy in gastric carcinoma, and the result may help to Characteristics of progenitor/transit amplifying Cells in Metastasis And targeted treatment strategy for gastric carcinomas.