Epidemiological, clinical, pathological, and therapeutic aspects of gastric cancer in Morocco

Elmajjaoui, Sanna; Ismaili, Nabil; Zaidi, H.; Elkacemi, Hanane; Hassouni, Khalid; Kebdani, T.; Benjaafar, Noureddine

doi:10.4103/2278-0513.125770

Cited by 6 publications

(7 citation statements)

References 11 publications

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“…Second, one requires information about the number of oncogenic (driver gene) mutations: as mentioned earlier, out of the total number of about 20,000 genes in the human genome, 299 have been identified as driver genes (Bailey et al 2018) which gives their ratio as µ = 0.015. Finally, the correlation between the age (both for men and women) and the exemplary number of gastric cancer cumulative incidence (Elmajjaoui et al 2014) gives the relationship between the average number of mutations per cell and the cumulative incidence of gastric cancer (Fig. 2).…”

Section: Resultsmentioning

confidence: 99%

“…Figure 2 presents Eq. ( 13) fitted to the gastric cancer clinical data (Elmajjaoui et al 2014;Pan et al 2018). This curve has a typical sigmoidal shape which corresponds to the probability of cancer transformation.…”

Section: Resultsmentioning

confidence: 99%

“…Fig.2Avrami equation (Eq. 13), fitted to gastric cancer clinical data(Elmajjaoui et al 2014;Pan et al 2018). Fitting parameters: k = 4.4, α = 0.0087, C = 155.…”

mentioning

confidence: 99%

“…Fitting parameters: k = 4.4, α = 0.0087, C = 155. The data points shown were prepared as follows: the cumulative distribution of cancer cases related to age (Fig.1inElmajjaoui et al 2014) was correlated with the best linear fit between the number of mutations and the age (Fig.4binPan et al 2018)…”

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confidence: 99%

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Modeling of single cell cancer transformation using phase transition theory: application of the Avrami equation

Fornalski

Dobrzyński

2021

Radiat Environ Biophys

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The nucleation and growth theory, described by the Avrami equation (also called Johnson–Mehl–Avrami–Kolmogorov equation), and usually used to describe crystallization and nucleation processes in condensed matter physics, was applied in the present paper to cancer physics. This can enhance the popular multi-hit model of carcinogenesis to volumetric processes of single cell’s DNA neoplastic transformation. The presented approach assumes the transforming system as a DNA chain including many oncogenic mutations. Finally, the probability function of the cell’s cancer transformation is directly related to the number of oncogenic mutations. This creates a universal sigmoidal probability function of cancer transformation of single cells, as observed in the kinetics of nucleation and growth, a special case of a phase transition process. The proposed model, which represents a different view on the multi-hit carcinogenesis approach, is tested on clinical data concerning gastric cancer. The results also show that cancer transformation follows DNA fractal geometry.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…Fig.2Avrami equation (Eq. 13), fitted to gastric cancer clinical data(Elmajjaoui et al 2014;Pan et al 2018). Fitting parameters: k = 4.4, α = 0.0087, C = 155.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

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Modeling of single cell cancer transformation using phase transition theory: application of the Avrami equation

Fornalski

Dobrzyński

2021

Radiat Environ Biophys

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“…These epidemiological features were quite similar to those reported previously in the literature from african countries. 15,17,18 Afuwape et al from a Nigerian study of gastric cancer, have reported a mean age of 56 years with a male predominance, 15 while in Morocco, 2 studies on gastric cancer by Smith et al and Elmajjaoui et al have reported respectively a median age of 60 years and a mean age of 55 years. 17,18…”

Section: Discussionmentioning

confidence: 99%

Gastric Signet Ring Cell Carcinoma: A Comparative Analysis of Clinicopathologic Features

et al. 2020

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Signet ring cell carcinoma (SRC) is a distinct histological subtype of gastric carcinoma. Our aim is to investigate differential characteristics between gastric SRC and other non SRC carcinomas (nSRC). It was a retrospective study including 183 patients diagnosed with gastric carcinoma over a period of 5 years at our pathology department. We performed statistical comparison of clinicopathological features between patients with SRC and those with nSRC. 127 patients (69.4%) had nSRC, 56 had SRC (30.6%), the mean age was 56.67 ± 14.03 years. Patients with SRC were younger than those with nSRC (mean age of 49.66 versus 59.76, P = 0.030). Patients with SRC tend to have more diffuse tumors in the stomach ( P = 0.005), with flat macroscopic appearance ( P = 0.001). Patients with SRC present more often with pT3 tumors ( P < 0.001), lymph node metastasis ( P = 0.024) and perineural invasion ( P = 0.003). There were no significant differences between SRC and nSRC in gender, vascular invasion or distant metastasis ( P > 0.05). The median survival time was 42.82 ± 1.70 months. Patients with nSRC live longer than those with SRC, but the difference was not significant ( P = 0.28). SRC is a histological subtype of gastric carcinoma with distinctive clinicopathologic features. The clinical management of patients should take into account these particular features.

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Retrospective epidemiological study on stomach cancer in a region of western Algeria: about 394 cases between 2011 and 2015

Behar

Boublenza

Chabni

et al. 2020

J Gastrointest Canc

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Epidemiological, clinical, pathological, and therapeutic aspects of gastric cancer in Morocco

Cited by 6 publications

References 11 publications

Modeling of single cell cancer transformation using phase transition theory: application of the Avrami equation

Modeling of single cell cancer transformation using phase transition theory: application of the Avrami equation

Gastric Signet Ring Cell Carcinoma: A Comparative Analysis of Clinicopathologic Features

Retrospective epidemiological study on stomach cancer in a region of western Algeria: about 394 cases between 2011 and 2015

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