top of page

Groups Feed

View groups and posts below.


This post is from a suggested group

석사학위 논문이 한빛사 논문에 선정되었습니다.


2012년 석사학위 주제로 어렵게 어렵게 논문 투고한 BMC Genomics 논문이

상위피인용 논문에 선정되었습니다.


앞으로 더 임팩트 있는 연구를 해 나가겠습니다.


김한상 (연세대학교 의과대학 세브란스병원 연세암병원 종양내과 대장암센터 간암센터 임상시험센터) | 한빛사논문 > 한빛사
www.ibric.org
김한상 (연세대학교 의과대학 세브란스병원 연세암병원 종양내과 대장암센터 간암센터 임상시험센터) | 한빛사논문 > 한빛사
Background In the postgenome era, a prediction of response to treatment could lead to better dose selection for patients in radiotherapy. To identify a radiosensitive gene signature and elucidate related signaling pathways, four different microarray experiments were reanalyzed before radiotherapy. Results Radiosensitivity profiling data using clonogenic assay and gene expression profiling data from four published microarray platforms applied to NCI-60 cancer cell panel were used. The survival fraction at 2 Gy (SF2, range from 0 to 1) was calculated as a measure of radiosensitivity and a linear regression model was applied to identify genes or a gene set with a correlation between expression and radiosensitivity (SF2). Radiosensitivity signature genes were identified using significant analysis of microarrays (SAM) and gene set analysis was performed using a global test using linear regression model. Using the radiation-related signaling pathway and identified genes, a genetic network was generated. According to SAM, 31 genes were identified as common to all the microarray platforms and therefore a common radiosensitivity signature. In gene set analysis, functions in the cell cycle, DNA replication, and cell junction, including adherence and gap junctions were related to radiosensitivity. The integrin, VEGF, MAPK, p53, JAK-STAT and Wnt signaling pathways were overrepresented in radiosensitivity. Significant genes including ACTN1, CCND1, HCLS1, ITGB5, PFN2, PTPRC, RAB13, and WAS, which are adhesion-related molecules that were identified by both SAM and gene set analysis, and showed interaction in the genetic network with the integrin signaling pathway. Conclusions Integration of four different microarray experiments and gene selection using gene set analysis discovered possible target genes and pathways relevant to radiosensitivity. Our results suggested that the identified genes are candidates for radiosensitivity biomarkers and that integrin signaling via adhesion molecules could be a target for radiosensitization.


전체 한빛사 논문


113 Views

This post is from a suggested group

우수한 인재가 올 수만 있다면....



120 Views

This post is from a suggested group

서유라학생 한빛사 선정


축하합니다!

연구실도 3년간 3회 이상 한빛사로 되었습니다.


우수한 연구 인력과 함께 혁신적이고 도전적인 연구 하겠습니다.




125 Views

This post is from a suggested group

강의로 방문하였습니다. 향후 제약 회사와 연구실의 협업을 강화해 나가겠습니다.


108 Views

This post is from a suggested group

한빛사 최근 3년간 3회 이상 등록 연구자 (최근 3년간) 선정




학술적으로 가치 있고 환자분께 도움 될 수 있는 연구를 하겠습니다.

양적으로 질적으로 우수한 연구를 하겠습니다.


올해 투고중인 논문 2개도 한빛사 등록을 목표로 하고 있습니다.



458 Views

This post is from a suggested group

서유린 학생 KSMO 학회 발표

2025.9/3~9/5

축하합니다!




191 Views

This post is from a suggested group

서유라 학생 장기해외연수 경험 공유 발표

축하합니다.



168 Views

This post is from a suggested group

김태율학생 Best Presentation Award

축하합니다!




117 Views

© Copyright Yonsei University College of Medicine · Han Sang Kim Lab - All Rights Reserved 2019-2026

bottom of page