加拿大研究人員周日表示,，觀察各種蛋白質(zhì)在腫瘤中互相作用的情況有助于預(yù)測(cè)乳腺癌患者幸存的概率，從而可以使醫(yī)生更好地調(diào)整治療方式,。
如果一開始就知道患者病情不好的話,，醫(yī)生就能立即對(duì)其采取積極的治療方式。但通常情況下,，很難預(yù)測(cè)乳腺癌患者的病情發(fā)展情況,。
研究人員對(duì)美國(guó)和歐洲約350名乳腺癌患者乳房腫瘤組織中的蛋白質(zhì)網(wǎng)絡(luò)進(jìn)行了分析。結(jié)果顯示,，痊愈幸存者癌細(xì)胞中的蛋白質(zhì)網(wǎng)絡(luò)組織形式和死亡者的大不一樣,。
研究人員在《自然-生物技術(shù)》（Nature Biotechnology）上撰文指出,，通過觀測(cè)這些蛋白質(zhì)的相互作用，對(duì)乳腺癌患者未來病情走勢(shì)預(yù)測(cè)的準(zhǔn)確率可以達(dá)到82%,。
“這有助于對(duì)不同的患者采取適合她們的治療方法,。”
研究人員對(duì)約8,000種蛋白質(zhì)的30,000種作用方式進(jìn)行了研究，發(fā)現(xiàn)其中約250種蛋白質(zhì)對(duì)預(yù)測(cè)病情發(fā)展至關(guān)重要,。（生物谷Bioon.com）
生物谷推薦原始出處：
Nature Biotechnology Published online: 1 February 2009 | doi:10.1038/nbt.1522
Dynamic modularity in protein interaction networks predicts breast cancer outcome
Ian W Taylor1,2, Rune Linding1,3, David Warde-Farley4,5, Yongmei Liu1, Catia Pesquita4, Daniel Faria4, Shelley Bull1,5, Tony Pawson1,2, Quaid Morris4 & Jeffrey L Wrana1,2
Changes in the biochemical wiring of oncogenic cells drives phenotypic transformations that directly affect disease outcome. Here we examine the dynamic structure of the human protein interaction network (interactome) to determine whether changes in the organization of the interactome can be used to predict patient outcome. An analysis of hub proteins identified intermodular hub proteins that are co-expressed with their interacting partners in a tissue-restricted manner and intramodular hub proteins that are co-expressed with their interacting partners in all or most tissues. Substantial differences in biochemical structure were observed between the two types of hubs. Signaling domains were found more often in intermodular hub proteins, which were also more frequently associated with oncogenesis. Analysis of two breast cancer patient cohorts revealed that altered modularity of the human interactome may be useful as an indicator of breast cancer prognosis.
1 Samuel Lunenfeld Research Institute, Mount Sinai Hospital, 600 University Ave., Toronto, Ontario M5G 1X5, Canada.
2 Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Room 4396, Toronto, Ontario M5S 1A8, Canada.
3 Cellular & Molecular Logic Team, Institute of Cancer Research (ICR), Section of Cell, Molecular & Systems Section, 237 Fulham Road, London, SW3 6JB, UK.
4 The Terrence Donnelly Centre for Cellular and Biomolecular Research, 160 College St., Toronto, Ontario M5S 3E1, Canada.
5 Department of Computer Science, University of Toronto, 10 King's College Road, Room 3303, Toronto, Ontario M5S 3G4, Canada.
6 Faculty of Sciences, University of Lisbon, Campo Grande, 1749-016, Lisbon, Portugal.
7 Dalla Lana, School of Public Health, University of Toronto, 155 College St., Toronto, ON M5T 3M7, Canada.
