A Cohort Study and Meta-Analysis between Histopathological Classification and Prognosis of Gastric Carcinoma

Liu, Lei; Wang, Zhi W.; Ji, Jun Ho; Zhang, Jia N.; Yan, Min; Zhang, Jun; Liu, Bing Y.; Zhu, Zheng; Yu, Ying

doi:10.2174/1871520611313020007

Cited by 36 publications

(38 citation statements)

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“…Most of the tumors which were smaller in size were also well differentiated, without lymph node involvement and of lower stages. The present study supports finding from the literature that well differentiated tumors present at an early stage as compared to poorly differentiated tumors [14,15] .…”

Section: Discussionsupporting

confidence: 92%

Clinicopathological Profile of Carcinoma Stomach: An Institutional Experience of 350 patients

Samantaray¹

2017

jmscr

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Section: Discussionsupporting

confidence: 92%

Clinicopathological Profile of Carcinoma Stomach: An Institutional Experience of 350 patients

Samantaray¹

2017

jmscr

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“…Moreover, cohesive versus noncohesive morphological features probably correlate with the different tumour spreading patterns: while intestinal GC tends to metastasize hematogenously to the liver, diffuse GC usually disseminates through peritoneal surfaces [20]. Finally, based on the original report by Laurén et al [14] and more recent studies [24][25][26], diffuse GC appears to behave more aggressively than intestinal GC and has been identified as an independent poor prognostic factor.…”

Section: Morphological Heterogeneity Of Gcmentioning

confidence: 99%

Heterogeneity in Gastric Cancer: From Pure Morphology to Molecular Classifications

Gullo

Carneiro²,

Oliveira³

et al. 2017

Pathobiology

108

103

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Gastric cancer (GC) represents a global health concern. Despite advances in prevention, diagnosis, and therapy, GC is still the third leading cause of cancer mortality worldwide, with more than 720,000 estimated deaths in 2012. Overall survival for advanced disease is about 1 year, a dismal prognosis that is partly due to the high levels of biological heterogeneity found in GC. Indeed, GC is a highly heterogeneous disease from morphological and molecular standpoints. The numerous histological and molecular classifications currently available reflect such heterogeneity. Although recent high-throughput studies cluster the molecular data obtained into subgroups with clinical relevance, we still need a practical, prognostic, and predictive classification system, integrating morphological and molecular features, towards the identification of novel therapeutic targets. It is noteworthy that GC heterogeneity encompasses not only interpatient variability (intertumour heterogeneity), but also variations within the same tumour (intratumour heterogeneity). The latter encompasses spatial heterogeneity (in different tumour areas) and temporal heterogeneity (along progression from primary to recurrent and/or metastatic disease). In this review, we analyse the morphological, immunophenotypic, and molecular heterogeneity in GC as the basis for a better understanding of the disease, and discuss the practical implications for diagnostic pathology, prognostic evaluation, and precision therapy.

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“…Theoretically, noble gas matrix effects were considered within the framework of polarizable continuum model [6,7] or empirically. [8] More sophisticated methods were recently proposed: for instance, the hybrid quantum-classical simulations by Niimi et al [9] They employed high-level ab initio calculations at the CCSD(T) level to construct interaction potential energy surfaces between embedded molecules and noble-gas atoms together with a Monte Carlo sampling of the molecule-noble gas configurations.…”

Section: Imentioning

confidence: 99%

Understanding of matrix embedding: a theoretical spectroscopic study of CO interacting with Ar clusters, surfaces and matrices

Mahjoubi

Benoit

Jaı̈dane

et al. 2015

Phys. Chem. Chem. Phys.

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Through benchmark studies, we explore the performance of PBE density functional theory, with and without Grimme's dispersion correction (DFT-D3), in predicting spectroscopic properties for molecules interacting with rare gas matrices. Here, a periodic-dispersion corrected model of matrix embedding is used for the first time. We use PBE-D3 to determine the equilibrium structures and harmonic vibrational frequencies of carbon monoxide in interaction with small Ar clusters (CO-Arn, n = 1, 2, 3), with an Ar surface and embedded in an Ar matrix. Our results show a converging trend for both the vibrational frequencies and binding energies when going from the gas-phase to a fully periodic approach describing CO embedding in Ar. This trend is explained in terms of solvation effects, as CO is expected to alter the structure of the Ar matrix. Due to a competition between CO-Ar interactions and Ar-Ar interactions, perturbations caused by the presence of CO are found to extend over several Å in the matrix. Accordingly, it is mandatory to fully relax rare gas matrices when studying their interaction with embedded molecules. Moreover, we show that the binding energy per Ar is almost constant (∼-130 cm(-1) atom(-1)) regardless of the environment of the CO molecule. Finally, we show that the concentration of the solute into the cold matrix influences the spectroscopic parameters of molecules embedded into cold matrices. We suggest hence that several cautions should be taken before comparing these parameters to gas phase measurements and to theoretical data of isolated species.

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A Cohort Study and Meta-Analysis between Histopathological Classification and Prognosis of Gastric Carcinoma

Abstract: Gastric cancer with a differentiated histology or intestinal-type shows a better prognosis than individual with a poordifferentiated histology or a diffuse-type. Accurate histologic classification is desirable for gastric cancer handling.

Cited by 36 publications

References 0 publications

Clinicopathological Profile of Carcinoma Stomach: An Institutional Experience of 350 patients

Clinicopathological Profile of Carcinoma Stomach: An Institutional Experience of 350 patients

Heterogeneity in Gastric Cancer: From Pure Morphology to Molecular Classifications

Understanding of matrix embedding: a theoretical spectroscopic study of CO interacting with Ar clusters, surfaces and matrices

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