肿瘤解剖分布的非随机性。

Cancer convergence Pub Date : 2017-01-01 Epub Date: 2017-12-19 DOI:10.1186/s41236-017-0006-7
Clare Yu, James Kameron Mitchell
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引用次数: 4

摘要

背景:为什么肿瘤起源于器官内部?传统上,位置被认为是一个随机事件,然而肿瘤位置的统计数据反对这是一个随机事件。有很多例子,包括乳腺癌。超过一半的浸润性乳腺癌肿瘤起源于乳房靠近腋窝的上外侧象限,尽管据估计只有35%到40%的乳腺组织位于这一象限。这表明有一种未知的微环境因素以空间方式显著增加癌症风险,而不仅仅是由于基因或毒素。我们假设肿瘤更容易在微血管“热点”的健康组织中形成,那里有高浓度的局部微血管,提供增加的血流量,确保充足的氧气供应,营养物质和促进新血管生成的生长因子受体。结果:为了显示我们假设的合理性,我们计算了在乳房组织二维横截面上假设微血管泊松分布的乳房每个区域至少有一个微血管热点的分数概率。我们根据近红外漫射光谱学在乳腺不同区域测量的总血红蛋白浓度来调节乳腺不同区域的微血管密度。将热点定义为半径为200 μm且至少有5个微血管的圆圈,并使用先前测量的平均微血管密度为1微血管/mm2,我们发现在乳房不同区域至少有一个热点的分数概率与观察到的浸润性肿瘤的发生很好地一致。然而,没有理由认为微血管分布服从泊松分布。结论:肿瘤在器官中的空间位置并非完全随机,表明存在未知的危险因素。要了解肿瘤为什么会在哪里发生,还需要做很多工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Non-randomness of the anatomical distribution of tumors.

Non-randomness of the anatomical distribution of tumors.

Non-randomness of the anatomical distribution of tumors.

Non-randomness of the anatomical distribution of tumors.

Background: Why does a tumor start where it does within an organ? Location is traditionally viewed as a random event, yet the statistics of the location of tumors argues against this being a random occurrence. There are numerous examples including that of breast cancer. More than half of invasive breast cancer tumors start in the upper outer quadrant of the breast near the armpit, even though it is estimated that only 35 to 40% of breast tissue is in this quadrant. This suggests that there is an unknown microenvironmental factor that significantly increases the risk of cancer in a spatial manner and that is not solely due to genes or toxins. We hypothesize that tumors are more prone to form in healthy tissue at microvascular 'hot spots' where there is a high local concentration of microvessels providing an increased blood flow that ensures an ample supply of oxygen, nutrients, and receptors for growth factors that promote the generation of new blood vessels.

Results: To show the plausibility of our hypothesis, we calculated the fractional probability that there is at least one microvascular hot spot in each region of the breast assuming a Poisson distribution of microvessels in two-dimensional cross sections of breast tissue. We modulated the microvessel density in various regions of the breast according to the total hemoglobin concentration measured by near infrared diffuse optical spectroscopy in different regions of the breast. Defining a hot spot to be a circle of radius 200 μm with at least 5 microvessels, and using a previously measured mean microvessel density of 1 microvessel/mm2, we find good agreement of the fractional probability of at least one hot spot in different regions of the breast with the observed invasive tumor occurrence. However, there is no reason to believe that the microvascular distribution obeys a Poisson distribution.

Conclusions: The spatial location of a tumor in an organ is not entirely random, indicating an unknown risk factor. Much work needs to be done to understand why a tumor occurs where it does.

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