Suppr超能文献

肿瘤解剖分布的非随机性。

Non-randomness of the anatomical distribution of tumors.

作者信息

Yu Clare, Mitchell James Kameron

机构信息

1Department of Physics and Astronomy, University of California, Irvine, CA 92697-4575 USA.

2Present address: Department of Physics, Harvard University, Cambridge, MA 02138 USA.

出版信息

Cancer Converg. 2017;1(1):4. doi: 10.1186/s41236-017-0006-7. Epub 2017 Dec 19.

Abstract

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/mm, 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.

摘要

背景

肿瘤为何会在器官内特定的位置起始?传统观点认为肿瘤位置是随机事件,但肿瘤位置的统计学数据却反驳了这一观点。有众多例子,比如乳腺癌。超过半数的浸润性乳腺癌肿瘤起始于靠近腋窝的乳房外上象限,尽管据估计该象限仅占乳房组织的35%至40%。这表明存在一种未知的微环境因素,它以空间特异性的方式显著增加了患癌风险,且不仅仅是由基因或毒素导致的。我们推测肿瘤更易于在微血管“热点”处的健康组织中形成,这些“热点”处微血管局部浓度高,能增加血流,确保充足的氧气、营养物质供应,以及促进新血管生成的生长因子受体供应。

结果

为证明我们假设的合理性,我们在乳房组织的二维横截面中假设微血管呈泊松分布,计算了乳房各区域至少存在一个微血管热点的分数概率。我们根据近红外漫射光谱法测量的乳房不同区域的总血红蛋白浓度,调节乳房各区域的微血管密度。将热点定义为半径200μm、至少有5条微血管的圆形区域,并使用先前测量的平均微血管密度1条微血管/mm²,我们发现乳房不同区域至少存在一个热点的分数概率与观察到的浸润性肿瘤发生情况吻合良好。然而,没有理由认为微血管分布服从泊松分布。

结论

器官内肿瘤的空间位置并非完全随机,这表明存在未知的风险因素。要理解肿瘤为何在特定位置发生,仍有许多工作要做。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8202/5876694/e0e7bc91009f/41236_2017_6_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验