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Targeting of the AKT/m-TOR Pathway: Biomarkers of Resistance to Cancer Therapy——AKT/m-TOR Pathway and Resistance to Cancer Therapy 被引量：19

Targeting of the AKT/m-TOR Pathway: Biomarkers of Resistance to Cancer Therapy——AKT/m-TOR Pathway and Resistance to Cancer Therapy
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摘要 Resistance to cancer therapy continues to be a major limitation for the successful treatment of cancer. There are many published studies on therapy resistance in breast and prostate cancers; however, there are currently no data on molecular markers associated with resistance. The conflicting data were reported regarding the AKT/m-TOR signaling pathway components as markers predicting resistance. The AKT/m-TOR signaling pathway is involved in the development of many human cancers; its activation is related to cell proliferation, angiogenesis, apoptosis, as well as to therapy resistance. Molecular alterations in the AKT/m-TOR signaling pathway provide a platform to identify universal markers associated with the development of resistance to cancer therapy. Resistance to cancer therapy continues to be a major limitation for the successful treatment of cancer. There are many published studies on therapy resistance in breast and prostate cancers; however, there are currently no data on molecular markers associated with resistance. The conflicting data were reported regarding the AKT/m-TOR signaling pathway components as markers predicting resistance. The AKT/m-TOR signaling pathway is involved in the development of many human cancers; its activation is related to cell proliferation, angiogenesis, apoptosis, as well as to therapy resistance. Molecular alterations in the AKT/m-TOR signaling pathway provide a platform to identify universal markers associated with the development of resistance to cancer therapy.
作者 Liudmila V SPIRINA Irina V KONDAKOVA Natalia V TARASENKO Elena M SLONIMSKAYA Evgeny A USYNIN Alexey K GORBUNOV Zahar A YURMAZOV Svetlana Yu CHIGEVSKAYA
机构地区 Research Institute of Sciences
出处 《中国肺癌杂志》 CAS CSCD 北大核心 2018年第1期63-66,共4页 Chinese Journal of Lung Cancer
关键词 of cancer therapy resistance breast prostate cancers molecular markers resistance conflicting data
分类号 R285.5 [医药卫生—中药学] R161 [医药卫生—公共卫生与预防医学]
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共引文献19

同被引文献50

  • 1Lynch Thomas J,Bell Daphne W,Sordella Raffaella,Gurubhagavatula Sarada,Okimoto Ross A,Brannigan Brian W,Harris Patricia L,Haserlat Sara M,Supko Jeffrey G,Haluska Frank G,Louis David N,Christiani David C,Settleman Jeff,Haber Daniel A.Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib. The New England Quarterly . 2004
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  • 3Rui Liu,Xiangdong Wang,Kazuyuki Aihara,Luonan Chen.Early Diagnosis of Complex Diseases by Molecular Biomarkers, Network Biomarkers, and Dynamical Network Biomarkers[J]. Med. Res. Rev. . 2014 (3)
  • 4Sean J. Humphrey,Guang Yang,Pengyi Yang,Daniel J. Fazakerley,Jacqueline St?ckli,Jean Y. Yang,David E. James.Dynamic Adipocyte Phosphoproteome Reveals that Akt Directly Regulates mTORC2[J]. Cell Metabolism . 2013 (6)
  • 5Feifei Feng,Yiming Wu,Yongjun Wu,Guangjin Nie,Ran Ni.The Effect of Artificial Neural Network Model Combined with Six Tumor Markers in Auxiliary Diagnosis of Lung Cancer[J]. Journal of Medical Systems . 2012 (5)
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  • 7Hong Chen,Yaoli Wang,Chunxue Bai,Xiangdong Wang.Alterations of plasma inflammatory biomarkers in the healthy and chronic obstructive pulmonary disease patients with or without acute exacerbation[J]. Journal of Proteomics . 2012 (10)
  • 8HongChen,ZhenjuSong,MengjiaQian,ChunxueBai,XiangdongWang.Selection of disease‐specific biomarkers by integrating inflammatory mediators with clinical informatics in AECOPD patients: a preliminary study[J]. Journal of Cellular and Molecular Medicine . 2012 (6)
  • 9Jing Bai,Sheng Hu.Transcriptome network analysis reveals potential candidate genes forsquamous lung cancer[J]. International Journal of Molecular Medicine . 2012 (1)
  • 10Jung Hun Oh,Jeffrey Craft,Rawan Al Lozi,Manushka Vaidya,Yifan Meng,Joseph O Deasy,Jeffrey D Bradley,Issam El Naqa.A Bayesian network approach for modeling local failure in lung cancer[J]. Physics in Medicine and Biology . 2011 (6)

引证文献19

二级引证文献112

中国肺癌杂志
2018年 第1期

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