Literature DB >> 18804159

In vitro pharmacogenomic database and chemosensitivity predictive genes in gastric cancer.

Jae-Joon Jung1, Hei-Cheul Jeung, Hyun Cheol Chung, Jung Ok Lee, Tae Soo Kim, Yong Tai Kim, Sung Hoon Noh, Sun Young Rha.   

Abstract

Gastric cancer is one of the most common cancers worldwide, and there are clinical caveats in predicting tumor response to chemotherapy. This study describes the construction of an in vitro pharmacogenomic database, and the selection of genes associated with chemosensitivity in gastric cancer cell lines. Gene expression and chemosensitivity databases were integrated using the Pearson correlation coefficient to give the GC-matrix. The 85 genes were selected that were commonly associated with chemosensitivity of the major anticancer drugs. We then focused on the genes that were highly correlated with each specific drug. Classification of cell lines based on the set of genes associated with each drug was consistent with the division into resistant or sensitive groups according to the chemosensitivity results. The GC-matrix of the gastric cancer cell line database was used to identify different sets of chemosensitivity-related genes for specific drugs or multiple drugs.

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Year:  2008        PMID: 18804159     DOI: 10.1016/j.ygeno.2008.08.002

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  9 in total

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Authors:  Xifeng Wu; Yuanqing Ye; Rafael Rosell; Christopher I Amos; David J Stewart; Michelle A T Hildebrandt; Jack A Roth; John D Minna; Jian Gu; Jie Lin; Shama C Buch; Tomoko Nukui; Jose Luis Ramirez Serrano; Miquel Taron; Adrian Cassidy; Charles Lu; Joe Y Chang; Scott M Lippman; Waun Ki Hong; Margaret R Spitz; Marjorie Romkes; Ping Yang
Journal:  J Natl Cancer Inst       Date:  2011-04-11       Impact factor: 13.506

2.  Identification of genes related to a synergistic effect of taxane and suberoylanilide hydroxamic acid combination treatment in gastric cancer cells.

Authors:  Hyun Chang; Sun Young Rha; Hei-Cheul Jeung; Jae-Jun Jung; Tae Soo Kim; Ho Jeong Kwon; Byung Soo Kim; Hyun Cheol Chung
Journal:  J Cancer Res Clin Oncol       Date:  2010-03-09       Impact factor: 4.553

3.  Gene Expression Profiling Identifies Akt as a Target for Radiosensitization in Gastric Cancer Cells.

Authors:  Kyung Hwan Kim; Han Sang Kim; Sang Cheol Kim; DooA Kim; Yong Bae Kim; Hyun Cheol Chung; Sun Young Rha
Journal:  Front Oncol       Date:  2020-09-11       Impact factor: 6.244

4.  Docetaxel versus paclitaxel combined with 5-FU and leucovorin in advanced gastric cancer: combined analysis of two phase II trials.

Authors:  Hong Jae Chon; Sun Young Rha; Chong Kun Im; Chan Kim; Min Hee Hong; Hye Ryun Kim; Jung Ryun An; Sung Hoon Noh; Hyun Cheol Chung; Hei-Cheul Jeung
Journal:  Cancer Res Treat       Date:  2009-12-31       Impact factor: 4.679

5.  Identification of inositol polyphosphate 4-phosphatase type II as a novel tumor resistance biomarker in human laryngeal cancer HEp-2 cells.

Authors:  Jae-Sung Kim; Hong Shik Yun; Hong-Duck Um; Jong Kuk Park; Kee-Ho Lee; Chang-Mo Kang; Su-Jae Lee; Sang-Gu Hwang
Journal:  Cancer Biol Ther       Date:  2012-08-16       Impact factor: 4.742

6.  Computational Image Analysis Identifies Histopathological Image Features Associated With Somatic Mutations and Patient Survival in Gastric Adenocarcinoma.

Authors:  Jun Cheng; Yuting Liu; Wei Huang; Wenhui Hong; Lingling Wang; Xiaohui Zhan; Zhi Han; Dong Ni; Kun Huang; Jie Zhang
Journal:  Front Oncol       Date:  2021-03-31       Impact factor: 6.244

Review 7.  Molecular classification and prediction in gastric cancer.

Authors:  Xiandong Lin; Yongzhong Zhao; Won-Min Song; Bin Zhang
Journal:  Comput Struct Biotechnol J       Date:  2015-08-13       Impact factor: 7.271

Review 8.  Replication-dependent histone isoforms: a new source of complexity in chromatin structure and function.

Authors:  Rajbir Singh; Emily Bassett; Arnab Chakravarti; Mark R Parthun
Journal:  Nucleic Acids Res       Date:  2018-09-28       Impact factor: 16.971

9.  High content phenotypic screening identifies serotonin receptor modulators with selective activity upon breast cancer cell cycle and cytokine signaling pathways.

Authors:  Scott J Warchal; John C Dawson; Emelie Shepherd; Alison F Munro; Rebecca E Hughes; Ashraff Makda; Neil O Carragher
Journal:  Bioorg Med Chem       Date:  2019-11-09       Impact factor: 3.641

  9 in total

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