Paper detail

Tumor-induced neoneurogenesis and perineural tumor growth: a mathematical approach

Primary tumors infrequently lead to demise of cancer patients; instead, mortality and a significant degree of morbidity result from the growth of secondary tumors in distant organs (metastasis). It is well-known that malignant tumors induce the formation of a lymphatic and a blood vascular network around themselves. A similar but far less studied process occurs in relation to the nervous system and is referred to as \emph{neoneurogenesis}; in fact, recent studies have demonstrated that tumors initiate their own innervation. However, the relationship between tumor progression and the nervous system is still poorly understood. This process is most likely regulated by a multitude of factors in the tumor-nerve microenvironment and it is therefore important to study the interactions between the nervous system and tumor cells through mathematical/computational modelling: this may reveal the most significant factors of the plethora of interacting elements regulating neoneurogenesis. The present work is a first attempt to model the neurobiological aspect of cancer development through a (simple) system of differential equations. The model confirms the experimental observations that a tumor is able to promote nerve formation/elongation around itself, and that high levels of nerve growth factor (NGF) and axon guidance molecules (AGMs) are recorded in the presence of a tumor. Our results also reflect the observation that high stress levels (represented by higher norepinephrine release by sympathetic nerves) contribute to tumor development and spread, indicating a mutually beneficial relationship between tumor cells and neurons. The model predictions suggest novel therapeutic strategies, aimed at blocking the stress effects on tumor growth and dissemination.

preprint2015arXivOpen access

Signal facts

What is known right now

Open access3 authors1 topic

Next steps

Decide what to do with this paper

Use like or dislike for the fast social read. The more specific scholarly feedback stays available below when needed.

Log in to curate

Reading frame

Keep the important context close to the paper

Keep the important signals around this paper in one place: votes, save state, collection context, reviews and the metadata you need before deciding what to do next.

Institutions

Add specific reaction

Move through the context

Research map

Open full explorer

Move through nearby people, institutions, topics and adjacent work without leaving the paper page.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Structured reviews

0 review(s)

ContributeLeave structured feedbackUse the review template when you have a concrete strength, concern or method question.Open review form

No structured reviews yet. High-signal critique starts here.

Work discussion

0 comment(s)

DiscussAdd a high-signal commentKeep quick notes, caveats and replication pointers separate from formal reviews.Open comment form

No discussion yet. The first strong comment sets the tone.