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一種有助于預(yù)測(cè)大腸癌化療劑量的新數(shù)字模型

2013-01-18 11:26 閱讀:1507 來源:i-md.com 作者:網(wǎng)* 責(zé)任編輯:網(wǎng)絡(luò)
[導(dǎo)讀] 為了更好的預(yù)測(cè)大腸癌患者對(duì)化療的反應(yīng),科學(xué)家利用一種新的數(shù)字模型測(cè)量不傷害健康組織前提下能夠殺死癌癥細(xì)胞所需應(yīng)力量。研究結(jié)果發(fā)表在美國癌癥協(xié)會(huì)制定的《癌癥研究》雜志上,研究表明,系統(tǒng)醫(yī)學(xué)法在預(yù)測(cè)患者化療反應(yīng)方面相比其他方法有顯著優(yōu)勢(shì)。

  為了更好的預(yù)測(cè)大腸癌患者對(duì)化療的反應(yīng),科學(xué)家利用一種新的數(shù)字模型測(cè)量不傷害健康組織前提下能夠殺死癌癥細(xì)胞所需應(yīng)力量。研究結(jié)果發(fā)表在美國癌癥協(xié)會(huì)制定的《癌癥研究》雜志上,研究表明,系統(tǒng)醫(yī)學(xué)法在預(yù)測(cè)患者化療反應(yīng)方面相比其他方法有顯著優(yōu)勢(shì)。

  細(xì)胞凋亡即程序性細(xì)胞死亡,是癌癥耐藥性的標(biāo)志。此前的研究表明,細(xì)胞凋亡的關(guān)鍵步驟,引起線粒體外膜通透性的進(jìn)程由BLC-2蛋白質(zhì)家族的不同成員控制。一些家族成員促進(jìn)細(xì)胞凋亡,一些阻止細(xì)胞凋亡。此外,這些蛋白在細(xì)胞凋亡方面作用相同并且能夠相互替代,這使得預(yù)測(cè)細(xì)胞是否容易凋亡難上加難。

  為了更好了解大腸癌化療的決策,研究者開發(fā)了一種包含患者特征數(shù)據(jù)的集合工具。他們研究了BCL-2蛋白,確定特定蛋白質(zhì)水平并將水平錄入數(shù)字模型,計(jì)算出何種基因毒性應(yīng)激水平能夠?qū)崿F(xiàn)細(xì)胞凋亡。

  抗結(jié)腸癌細(xì)胞培養(yǎng)、2期或3期結(jié)腸癌患者對(duì)于治療的應(yīng)答,都是由計(jì)算出的細(xì)胞凋亡所需的應(yīng)力水平來精密決定的。研究發(fā)現(xiàn),個(gè)別患者BLC-2蛋白質(zhì)家族水平中異質(zhì)性程度較高,這是輔助化療成功與否的關(guān)鍵所在。

  研究者測(cè)試了一種名為“DR/MOMP ”的臨床決策工具,并以此確定其在預(yù)測(cè)結(jié)腸癌患者對(duì)治療的反應(yīng)效果。利用DR/MOMP 能準(zhǔn)確預(yù)測(cè)患者預(yù)后。

  這一發(fā)現(xiàn)可能提供一種臨床決策的工具,能夠預(yù)測(cè)結(jié)腸癌患者的治療效果。研究提供細(xì)胞凋亡的定量動(dòng)態(tài)分析,并能夠?yàn)閭€(gè)體患者預(yù)測(cè)治療效果。

  New model may help predict response to chemotherapy for colorectal cancer

  PHILADELPHIA — Scientists may be able to better predict which patients with colorectal cancer will respond to chemotherapy using a new mathematical model that measures the amount of stress required for a cancer cell to die without harming healthy tissue. The results of this study are published in Cancer Research, a journal of the American Association for Cancer Research.

  "Our study demonstrates that systems medicine approaches (i.e., quantitative analysis of multiple factors in patients' samples combined with mathematical modeling) have a significant advantage over other approaches in predicting therapy responses in patients," said Jochen J.M. Prehn, Ph.D., director of the Centre for Systems Medicine at the Royal College of Surgeons in Ireland.

  Apoptosis, or programmed cell death, is believed to be a hallmark of cancer resistance to chemotherapy. Prior research has shown that the key step in apoptosis, the process that leads to mitochondrial outer membrane permeabilization (MOMP) is controlled by different members of the BCL-2 family of proteins. Some family members promote apoptosis and some prevent it. In addition, those proteins that have the same effects on apoptosis work in parallel and can substitute for each other, which makes it difficult to predict whether cells are likely or unlikely to die.

  To better inform decision-making in chemotherapy for colorectal cancer, Prehn and colleagues developed a tool that would incorporate patient-specific, molecular data sets. They studied the BCL-2 proteins, determined levels of the individual proteins and put the levels into a mathematical model that calculated what genotoxic stress level is needed to achieve apoptosis.

  "Resistance of colon cancer cells in culture, as well as treatment responses of patients with stages 2 and 3 colon cancer, were critically determined by the calculated stress level required to undergo apoptosis," Prehn said. "We found that individual patients had a high degree of heterogeneity in BCL-2 family protein levels and that this was a potential cause of the success or failure of adjuvant chemotherapy."

  Prehn and colleagues tested a clinical decision-making tool that they call DR_MOMP to determine its use in predicting treatment responses in patients with colon cancer. Using DR_MOMP, they were able to robustly predict patient outcome.

  "This finding may provide a clinical decision-making tool that enables predictions of treatment responses in patients with colon cancer," Prehn said. "As we provide a quantitative, dynamic analysis of the process of apoptosis, we can also calculate, for individual patients, the therapeutic window."

  The model could help predict how much genotoxic stress is required for a cancer cell to die before normal tissue is affected. Prehn and colleagues hope to validate DR_MOMP in other cancers and in larger patient cohorts.

  "We need to develop easy and accessible protein profiling and modeling platforms that enable the implementation of this new technology in clinical trials and in pathology laboratories," Prehn said.
 


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