New invasive patterns as a prognostic factor for superficial esophageal cancer

Ito, Eisuke; Ozawa, Soji; Kijima, Hiroshi; Kazuno, Akihito; Nishi, Takayuki; Chino, Osamu; Sasaki, Hideo; Tanaka, Makiko; Inoue, Shigeaki; Inokuchi, Sadaki; Makuuchi, Hiroyasu

doi:10.1007/s00535-012-0587-y

Cited by 38 publications

(55 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From Lemma 4.6 and Lemma 4.7 we get the existence of a unique approximative solution. From the estimates (49), (55) and (58) we get a time T > 0 such that the mapping Φ : K ∩ Z → K has a unique fixed point u ∈ K. Thus u is a strong solution to the abstract Cauchy problem (20). The uniqueness of u follows from a topological argument, details of which are given below.…”

Section: T → U (T S) Is Continuous In the Strong Topology Formentioning

confidence: 97%

“…Moreover, let r be as in Lemma 4.1, so that ∈ Y × Z be either deterministic or independent of (At) t≥0 . Then for each Ξ ∈ R 12 + , there exists an unique process (ut) t≥0 ∈ K(T ), whose realizations solve the abstract Cauchy problem (20) in the pathwise sense (i.e. for a.e.…”

Section: T → U (T S) Is Continuous In the Strong Topology Formentioning

confidence: 99%

“…The latter can be qualitatively categorized based on its strength of invasion which in turn can be judged based on the histological patterns generated by a progressing tumor. Infiltrative growth pattern (INF) classification is one such classification scheme, as defined by the Japanese Gastric Cancer Association [1,20]. Based on this, invasion can be assigned to three categories: The INFa stage marks the appearance of a gap between cancer cells and stromal cells.…”

Section: Introductionmentioning

confidence: 99%

“…It serves us to represent the mild solution to the system of equations (2) which will eventually turn out to be the strong solution to the abstract Cauchy problem (20) below.…”

mentioning

confidence: 99%

See 3 more Smart Citations

A stochastic model featuring acid-induced gaps during tumor progression

Hiremath

Surulescu

2016

Nonlinearity

View full text Add to dashboard Cite

In this paper we propose a phenomenological model for the formation of an interstitial gap between the tumor and the stroma. The gap is mainly filled with acid produced by the progressing edge of the tumor front. Our setting extends existing models for acid-induced tumor invasion models to incorporate several features of local invasion like formation of gaps, spikes, buds, islands, and cavities. These behaviors are obtained mainly due to the random dynamics at the intracellular level, the go-or-grow-or-recede dynamics on the population scale, together with the nonlinear coupling between the microscopic (intracellular) and macroscopic (population) levels. The wellposedness of the model is proved using the semigroup technique and 1D and 2D numerical simulations are performed to illustrate model predictions and draw conclusions based on the observed behavior.

show abstract

Section: T → U (T S) Is Continuous In the Strong Topology Formentioning

confidence: 97%

Section: T → U (T S) Is Continuous In the Strong Topology Formentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…It serves us to represent the mild solution to the system of equations (2) which will eventually turn out to be the strong solution to the abstract Cauchy problem (20) below.…”

mentioning

confidence: 99%

See 2 more Smart Citations

A stochastic model featuring acid-induced gaps during tumor progression

Hiremath

Surulescu

2016

Nonlinearity

View full text Add to dashboard Cite

show abstract

“…It is not defined either dominant histopathological grade or the highest grade should be adopted. Although I admit that histopathological grading surely has close relation to the probability of lymph node involvement in T1a-MM and T1b tumors, more detailed discussion is necessary on this issue (20)(21)(22). Though this grouping would have been defined so that the prognoses can be properly stratified, it should be database-restricted, and i.e., therapeutic measurerestricted.…”

Section: Pathological Prognostic Groupmentioning

confidence: 99%

Comparison of two major staging systems of esophageal cancer—toward more practical common scale for tumor staging

Udagawa¹,

Ueno²

2018

Ann. Transl. Med.

View full text Add to dashboard Cite

The latest 8th edition of TNM Classification of Malignant Tumours by Union for InternationalCancer Control (UICC) and 11th edition of Japanese Classification of Esophageal Cancer by Japan Esophageal Society (JES) are the two major classifications widely accepted as tools for clinical staging of esophageal cancer. Both systems consist of three main categories, i.e., T, N, and M, but large difference exists between the two. JES system has more detailed sub-classification of T1 tumors reflecting meticulous work by Japanese investigators on superficial esophageal cancer. N-category shows the largest difference. UICC defines the N-category according to only the number of the metastatic regional lymph nodes. The definition of regional nodes in UICC system is static and uniform, and supraclavicular nodes are definitely excluded. In JES system, regional nodes are subgrouped into five different patterns according to the main tumor location, and the supraclavicular nodes are always regional nodes for thoracic esophageal cancer. Japanese surgeons have described the evidence that regional nodes should be dynamically defined according to tumor location and supraclavicular nodes should be included in regional nodes. Compared to the simplified N-category, the staging matrix of UICC system is somewhat complicated. The clinical stage and pathological stage of UICC system are not identical and difference exists also between squamous cell carcinoma (SCC) and adenocarcinoma. It has another system of pathological prognostic grouping. We can imagine several reasons for the difference occurred between the two systems. One is the difference of major pathology. Another reason is the difference of basic concept of cancer treatment. The relative "dependence" on radical surgery in Japan has required the detailed definition of each lymph node station and the evaluation of "efficacy index" of each station. The strict and detailed definition of lymph node stations has been regarded as an obstacle to those who are not familiar with it. Some simplification can be done but maintaining dynamic definition of regional lymph nodes linked to tumor location. If UICC system can accept this concept, I think the two systems can be unified to realize more practical and useful staging system as an international common language.

show abstract