Research article Special Issues

Absence of convection in solid tumors caused by raised interstitial fluid pressure severely limits success of chemotherapy—a numerical study in cancers

  • Received: 03 July 2020 Accepted: 27 August 2020 Published: 14 September 2020
  • In comparison with lymphomas and leukemias, chemotherapy of solid neoplasms, i.e., cancer, has much more limited success in curing the patient. This lack of efficacy of chemotherapy has been attributed to increased interstitial fluid pressure within cancers, which obstructs convection and only permits diffusion of oxygen and nutrients about 100 μm from blood vessels. As diffusion is limited to this distance, hypoxic and necrotic fractions within the tumor are observed beyond this region. The comparably small number of cancer cells that can be targeted with drugs inevitably leads to an ineffective treatment response. This study presents an analysis of the influence of interstitial fluid pressure on the chemotherapeutic effect in an HT29 human colon cancer xenograft mouse tumor model. To investigate the limited distribution of drugs into primary tumor and metastases, we developed a mathematical model describing tumor growth dynamics of oxygenated, hypoxic, and necrotic fractions, combined with a pharmacokinetic–pharmacodynamic model describing the behavior and effectivity of the chemotherapeutic agent. According to the numerical simulations, the age of the tumor at treatment was the decisive factor in the reduction in size of the primary tumor. This effect is mediated by the rapid decrease in the percentage of oxygenated cells within the tumor, which reduces the fraction of cells that can be affected by the drug. As in the primary tumor, interstitial fluid pressure builds up in metastases when they reach a specific size, leading to the formation of tumor fractions. This behavior is absent if the metastasis enters a dormant phase before the threshold for the development of interstitial fluid pressure has been reached. The small size of these metastases maximizes therapeutic success since they consist only of oxygenated cells, and the drug therefore affects all the cells.

    Citation: Bertin Hoffmann, Udo Schumacher, Gero Wedemann. Absence of convection in solid tumors caused by raised interstitial fluid pressure severely limits success of chemotherapy—a numerical study in cancers[J]. Mathematical Biosciences and Engineering, 2020, 17(5): 6128-6148. doi: 10.3934/mbe.2020325

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  • In comparison with lymphomas and leukemias, chemotherapy of solid neoplasms, i.e., cancer, has much more limited success in curing the patient. This lack of efficacy of chemotherapy has been attributed to increased interstitial fluid pressure within cancers, which obstructs convection and only permits diffusion of oxygen and nutrients about 100 μm from blood vessels. As diffusion is limited to this distance, hypoxic and necrotic fractions within the tumor are observed beyond this region. The comparably small number of cancer cells that can be targeted with drugs inevitably leads to an ineffective treatment response. This study presents an analysis of the influence of interstitial fluid pressure on the chemotherapeutic effect in an HT29 human colon cancer xenograft mouse tumor model. To investigate the limited distribution of drugs into primary tumor and metastases, we developed a mathematical model describing tumor growth dynamics of oxygenated, hypoxic, and necrotic fractions, combined with a pharmacokinetic–pharmacodynamic model describing the behavior and effectivity of the chemotherapeutic agent. According to the numerical simulations, the age of the tumor at treatment was the decisive factor in the reduction in size of the primary tumor. This effect is mediated by the rapid decrease in the percentage of oxygenated cells within the tumor, which reduces the fraction of cells that can be affected by the drug. As in the primary tumor, interstitial fluid pressure builds up in metastases when they reach a specific size, leading to the formation of tumor fractions. This behavior is absent if the metastasis enters a dormant phase before the threshold for the development of interstitial fluid pressure has been reached. The small size of these metastases maximizes therapeutic success since they consist only of oxygenated cells, and the drug therefore affects all the cells.


    Graph theory was introduced by Leonhard Euler for obtaining solution of the mathematical problem named "Seven Bridge of Königsberg" in 1736 [4]. The practices of the theory are used in the solution of many complex problems of modern life. Topology is an important branch of mathematics because of its contribution to the other branches of mathematics. Recently, the topology has been used as the appropriate frame for all sets connected by relations. Because rough sets and graphs are also based relational combinations, the topological structures of rough sets [2] and relation between rough sets and graphs are studied by some researchers [5,6,8].

    An interesting research topic in graph theory is to study graph theory by means of topology. Some researches have created topologies from graphs using various methods. In 2013, M. Amiri et. al. have created a topology using vertices of an undirected graph [3]. In 2018, K.A. Abdu and A. Kılıçman have investigated the topologies generated by directed graphs [1].

    In this paper, we aim at studying to create a topological space by using a simple undirected graph without isolated vertices. We present some properties of the topology that we create by using such graphs. We show that a topology can be generated by every simple undirected graph without isolated vertices. Moreover, we examine the topologies generated by using certain graphs. We define an equivalence relation on the set of the graphs with same vertices set. Finally, we give necessary and sufficient condition for continuity and openness of functions defined from one graph to another by using the topologies generated by these graphs. As a result of this, we present condition for the topological spaces generated by two different graphs to be homeomorphic.

    In this section, some fundamental definitions and theorems related to the graph theory, approximation spaces and topological spaces used in the work are presented.

    Definition 1. [4] A graph is an ordered pair of (U(G),E(G)), where U(G) is set of vertices, E(G) is set of edges linking to any unordered pair of vertices of G. If e is an edge linking to the vertices u and v, then it is said e links to vertices u and v. u and v called as ends of e. Moreover, it is said that these vertices are adjacent. A set of pairwise non-adjacent vertices of a graph is called an independent set. If the set of edges and vertices of a graph are finite, this graph is a finite graph. An edge whose ends are only one vertice is called a loop. An edge with distinct ends is a link.

    Definition 2. [4] A graph is called simple graph, if there is at most one edge linking to arbitrary two vertices of the graph and it has not a loop.

    Definition 3. [4] Let G=(U,E) be a graph. If vertices set U can divided into two subsets A and B so that each edge of G has one end in A and one end in B, G is called bipartite graph. In other words, a graph G is bipartite iff vertices set U of G can divided into two independent sets.

    Definition 4. [4] A walk is a sequence of finite number of adjacent vertices such that v0e1v1e2v2...ekvk in a graph G=(U,E). A walk that each edge and vertice is used at most one time is called a path.

    Definition 5. [4] A cycle is a path with the same starting and ending point and it is denoted with Cn.

    Theorem 1. [7] Let X be a nonempty set and β be a class of subsets of X. If following conditions are satisfied, the collection β is a base just for one topology.

    1. X=BβB

    2. For B1β and B2β, the set B1B2 is union of some set belonging to β.

    Definition 6. Let G=(U,E) be a graph. Then the set of vertices becoming adjacent to a vertice u is called adjacency of u and it is denoted AG(u). Minimal adjacency of u is defined as

    [u]G=uAG(v)AG(v).

    Theorem 2. Let G=(U,E) be a simple undirected graph without isolated vertices. Then the class βG={[u]G:uU} is a base for a topology on U.

    Proof. Firstly, we shall show that uU[u]G=U. From definition of [u]G, u[u]G is obtained for every uU. Since the graph G is a graph without isolated vertices, the class {[u]G:uU} covers to the set U. That is,

    uU[u]G=U.

    Secondly, we shall show that there exists VU such that [u]G[v]G=wVU[w]G, for every [u]G, [v]GβG. Let [u]G,[v]GβG. Then [u]G[v]G= or [u]G[v]G. If [u]G[v]G=, it is seen that [u]G[v]G=w[w]G since w[w]G=. If [u]G[v]G, there exists at least one wU such that w[u]G[v]G. Then w belongs to both [u]G and [v]G. Since w[u]G, it is seen that wAG(t), for all tU such that uAG(t). Similarly, since w[v]G, it is seen that wAG(t), for all tU such that vAG(t).

    Hence,  wAG(t) and wAG(t)wAG(t)AG(t)

    wAG(t)AG(t)[w]G        (Since w[w]G)wwVU[w]G.           (V=AG(t)AG(t)

    Then it is obtained that

    [u]G[v]GwVU[w]G (3.1)

    On the other hand,

    kwAG(t)AG(t)[w]Gk[w]G, for wAG(t)AG(t)
    kwAG(w)AG(w)kAG(w), for all wAG(w)kAG(t)AG(t)kuAG(t)AG(t) and kvAG(t)AG(t)k[u]G and k[v]Gk[u]G[v]G.

    Then it is obtained that

    wAG(t)AG(t)[w]G[u]G[v]G. (3.2)

    Therefore, the following equation is obtained from (3.1) and (3.2):

    [u]G[v]G=wAG(t)AG(t)[w]G.

    Consequently, βG is a base for a topology on U.

    Corollary 1. Each simple undirected graph without isolated vertices creates a topology on vertices set of the graph.

    Definition 7. Let G=(U,E) be a simple undirected graph without isolated vertices. Then the topology generated by βG={[u]G:uU} is called the topology generated by the graph G. This topology is in the form of:

    τG={GU:G=[u]GβG[u]G,uVU}.

    Here, the class of closed sets of this topology is in the form of:

    KG={Gc:GτG}.

    Example 1. The graph whose vertices set is U={x,y,z,t,u,v} is given in Figure 1.

    Figure 1.  The Graph G.

    The minimal adjacencies of each vertice are as follows:

    [x]G={x,z},[y]G={y,t},[z]G={z},[t]G={t},[u]G={z,u},[v]G={t,v}.

    Thus,

    βG={{z},{t},{x,z},{y,t},{z,u},{t,v}}

    and

    τG={U,,{z},{t},{x,z},{y,t},{z,u},{t,v},{z,t},{y,z,t},{z,t,v},{x,z,t},{z,t,u},{x,y,z,t},{x,z,u},{x,z,t,v},{y,z,t,u},{y,t,v},{x,z,t,u},{x,y,z,t,u},{x,y,z,t,v},{y,z,t,v},{z,t,u,v},{x,z,t,u,v},y,z,t,u,v}}.

    τG is topology generated by G. The class of closed sets of this topology is

    KG={U,,{x,y,t,u,v},{x,y,z,u,v},{y,t,u,v},{x,z,u,v},{x,y,t,v},{x,y,z,u},{x,y,u,v},{x,u,v},{x,y,u},{y,u,v},{x,y,v},{u,v},{y,t,v},{y,u},{x,v},{x,z,u},{y,v},{v},{u},{x,u},{x,y},{y},{x}}.

    Class of both open and closed sets is as follows:

    CO(U)={U,,{x,z,u},{y,t,v}}.

    Here, it is seen that both open and closed sets different from U and are {x,z,u} and {y,t,v}. Moreover, the graph G is bipartite and these sets are independent sets whose intersection is and union is U.

    Theorem 3. Let KA,B=(U,E) be a complete bipartite graph. Then the topology generated by KA,B is a quasi-discrete topology.

    Proof. Since KA,B is a bipartite graph, AB= and AB=U. For every xU, xA or xB. Let xA. Since KA,B is a complete bipartite graph, we have AKA,B(x)=B and [x]KA,B=A. Let xB. Then we have AKA,B(x)=A and [x]KA,B=B. Hence, the base of the topology generated by KA,B is as follows:

    βKA,B={A,B}.

    Therefore, the topology generated by KA,B is as follows:

    τKA,B={A,B,,U}.

    τKA,B is a quasi-discrete topology on U.

    Theorem 4. Let Kn=(U,E) be a complete graph, where U={v1,v2,...,vn}. Then the topology generated by Kn is discrete topology on U.

    Proof. The minimal neighborhoods of vertices set U={v1,v2,...,vn} are as follows respectively:

    [v1]G={v1},[v2]G={v2},...,[vn]G={vn}.

    Therefore,

    βKn={{vn}:vnU}

    and the topology generated by Kn is as follows:

    τKn=P(U).

    It is seen that τKn is discrete topology on U.

    Example 2. Let us investigate the topological space generated by C5 given Figure 2 whose vertices set is U={v1,v2,v3,v4,v5}.

    Figure 2.  The Graph C5.

    The adjacencies of the vertices of the cycle C5 are as follows:

    AG(v1)={v2,v5},AG(v2)={v1,v3},AG(v3)={v2,v4},AG(v4)={v3,v5},AG(v5)={v1,v4}.

    The minimal adjacencies of the vertices of the cycle C5 are as follows:

    [v1]G=v1AG(u)AG(u)={v1},[v2]G={v2},[v3]G={v3},[v4]G={v4},[v5]G={v5}.

    Thus,

    βC5={{v1},{v2},{v3},{v4},{v5}}.

    The class βC5 is a base for the discrete topology on U. Thus, the topological space generated by this graph is discrete topological space on U.

    Theorem 5. Let Cn=(U,E) be a cycle whose vertices set is U={v1,v2,...,vn}, where n3 (n4). Then the topological space generated by the cycle Cn=(U,E) is a discrete topological space.

    Proof. The graph Cn is as in Figure 3.

    Figure 3.  The Graph Cn.

    The adjacencies of the vertices of the cycle Cn are as follows:

    AG(v1)={vn,v2},AG(v2)={v1,v3},AG(v3)={v2,v4},...,AG(vn1)={vn2,vn},AG(vn)={vn1,v1}.

    The minimal adjacencies of the vertices of the cycle Cn are as follows:

    [v1]G=v1AG(vi)AG(vi)={v1},[v2]G=v2AG(vi)AG(vi)={v2},...,[vn1]G=vn1AG(vi)AG(vi)={vn1},[vn]G=vnAG(vi)AG(vi)={vn}.

    Thus, we have

    βCn={{vn}:VnU}.

    The class βCn is a base for discrete topology on U. Thus, it is seen that the topological space generated by the graph Cn is the discrete topological space on U.

    When we assume n=4, the graph C4 is a complete bipartite graph. The topological space generated the graph C4 whose vertices set is U={v1,v2,v3,v4} is τC4={U,,{v1,v4},{v2,v3}}. This topology is not discrete topology, but it is quasi-discrete topology.

    Remark 1. Two different graph G and Gwith same vertices set can create the same topology. It is seen clearly that although the graphs Kn and Cn with same vertices set is different these graphs create same topology.

    Theorem 6. Let G be set of all simple undirected graphs whose vertices set is U={v1,v2,...,vn} without isolated vertices. The relation defined on G as "G1G2τG1=τG2" is a equivalence relation.

    Proof. ⅰ) Since τG1=τG1,G1G1

    ⅱ) Let G1G2.From definition "∼", it is seen that τG1=τG2. Since τG2=τG1, we obtain that G2G1.

    ⅲ) Let G1G2 and G2G3. Then it is seen that τG1=τG2and τG2=τG3. Thus, we obtain that τG1=τG3. Consequently, we obtain that G1G3.

    Since G is symmetric, transitive and reflexive, it is an equivalence relation.

    Theorem 7. Let G=(U,E) and G=(U,E)\ be two graphs without isolated vertices. Let τG and τG be the topologies generated by G and G respectively and f:(U,τG)(U,τG) be a function. Then f is continuous iff for every uU,

    f([u]G)[f(u)]G.

    Proof. Let f:(U,τG)(U,τG) be a continuous function. Then βG={[u]G:uU} and βG={[u]G:uU} are bases of topologies τG and τG, respectively. Since f is continuous, there is BβG such that f(B)[f(u)]G for every uU. [u]G is the minimal element containing u of βG. Thus, it is obtained that

    f([u]G)[f(u)]G.

    Conversely, let f([u]G)[f(u)]G for every uU. It is seen that [f(u)]GβGf(v), for every uU. Since f([u]G)[f(u)]G and [u]GβGv, the function f is a continuous function.

    Example 3. Let us investigate the graphs G=(U,E) and G=(U,E) is given in Figure 4. Let f:(U,τG)(U,τG) be a function defined by

    f(x)=f(z)=a,f(l)=b,f(y)=c,f(t)=d,f(k)=e.
    Figure 4.  The Graphs G and G.

    The minimal adjacencies of vertices of G are follows:

    [x]G={x,z},[y]G={y,l},[z]G={x,z},[t]G={t},[l]G={l},[k]G={k}.

    The minimal adjacencies of vertices of G are as follows:

    [a]G={a,d},[b]G={b},[c]G={b,c},[d]G={d},[e]G={e}.

    It is seen that f([v]G)[f(v)]G, for every vU. Therefore, f is a continuous function.

    Corollary 2. Let f:(U,τKn)(U,τG) be arbitrary function, where Kn=(U,E) is a complete graph and G=(U,E) is arbitrary graph. Then f is continuous function.

    Theorem 8. Let G=(U,E) and G=(U,E) be two simple undirected graphs without isolated vertice and τG and τG the topologies generated by this graphs, respectively. Let f:(U,τG)(U,τG) be a function. Then f is open function iff for every uU,

    [f(u)]Gf([u]G).

    Proof. Let f:(U,τG)(U,τG) be an open function. Then f([u]G) is an open subset of U for every [u]GβG. It is obtained that

    f(u)[f(u)]Gf([u]G).

    Therefore, we have

    [f(u)]Gf([u]G).

    Conversely, Let [f(u)]Gf([u]G), for every uU. It is seen that for every uU,

    f(u)[f(u)]Gf([u]G).

    Thus, f([u]G) is an open subset of U. Consequently, we can say f is an open function.

    From above theorem, it is seen that an open function may not continuous and a continuous function may also not be open. Now we give a necessary and sufficient condition for a function to be continuous and open.

    Theorem 9. Let G=(U,E) and G=(U,E) be simple undirected two graphs without isolated vertices and τG and τG the topologies generated by this graphs, respectively. Let f:(U,τG)(U,τG) be a function. Then f is a open and continuous function iff for every uU,

    [f(u)]G=f([u]G).

    Proof. It is clearly seen from Theorem 3.6 and Theorem 3.7.

    Corollary 3. Let G=(U,E) and G=(U,E) be simple undirected two graphs without isolated vertice and τG and τGthe topologies generated by this graphs, respectively. Let f:(U,τG)(U,τG)\ be a function. Then f is a homeomorphism iff f is a bijection that for every uU,

    [f(u)]G=f([u]G).

    In this paper it is shown that topologies can be generated by simple undirected graphs without isolated vertices. It is studied topologies generated by certain graphs. Therefore, it is seen that there is a topology generated by every simple undirected graph without isolated vertices. Properties proved by these generated topologies are presented. An equivalence of the graphs with same vertices set is defined. Finally, necessary and sufficient condition is given for continuity and openness of a function defined to another graph from one graph. This enables us to determine whether these topological spaces is homeomorphic without needing to find the topological spaces generated by two graphs.

    The first author would like to thank TUBITAK (The Scientific and Technological Research Council of Turkey) for their financial supports during her PhD studies.

    The authors declare that they have no competing interest.



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