Several classification systems have been described for stratifying patients with gastric carcinoma (GC). However, their prognostic value is low, and there is an urgent need for identification of molecular markers and development of new classifications. Retrospective study of 206 cases of GC diagnosed and surgically resected in our hospital between 2000 and 2017. Clinicopathological features of all cases were assessed and tissue microarrays were constructed for immunohistochemical (IHC) study. Patients were stratified based on IHC results. Mean patient age was 71 years and most patients were male (54.6%). Most tumors were located in the gastric antrum and body, and they were mostly fungoid or ulcerative lesions. GC were mainly intestinal-type tumors and 60.3% were diagnosed at pT3. 56.2% of patients showed recurrences and 29.4% died due to GC. According to our IHC classification, 23.5% of tumors showed microsatellite instability, 6% were E-cadherin negative, 53.5% were stable-p53 not overexpressed, and 17% were stable with p53 overexpression. IHC classification was significantly correlated with patient gender, gross morphology, Laurén classification, tumor necrosis, perineural infiltration, type of leading edge, and patient outcome. Multivariate analysis showed that IHC subtype was significantly and independently associated with overall survival, together with clinical symptoms, signet cell phenotype, tumor grade and vessel invasion. The application of IHC classifications based on molecular biomarkers in clinical practice can aid in the stratification of GC patients. More studies are needed to evaluate the reproducibility and clinical significance of these classifications.

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Most studies on the clinicopathological impact of Borrmann classification for gastric cancer (GC) have been performed in Asian patients with type IV tumors, and immunohistochemical features of Borrmann types have scarcely been analyzed. We assessed the clinicopathological, molecular features and prognostic value of Borrmann types in all patients with advanced GC resected in a Western institution (n = 260). We observed a significant relationship between Borrmann types and age, systemic symptoms, tumor size, Laurén subtype, presence of signet-ring cells, infiltrative growth, high grade, tumor necrosis, HERCEPTEST positivity, microsatellite instability (MSI) and molecular subtypes. Polypoid GC showed systemic symptoms, intestinal-type histology, low grade, expansive growth and HERCEPTEST positivity. Fungating GC occurred in symptomatic older patients. It presented intestinal-type histology, infiltrative growth and necrosis. Ulcerated GC showed smaller size, intestinal-type histology, high grade and infiltrative growth. Most polypoid and ulcerated tumors were stable-p53-not overexpressed or microsatellite unstable. Flat lesions were high-grade diffuse tumors with no MSI, and occurred in younger and less symptomatic patients. No association was found between Borrmann classification and prognosis. According to our results, Borrmann types may represent distinct clinicopathological and biological entities. Further research should be conducted to confirm the role of Borrmann classification in the stratification of patients with advanced GC.

Sensors and multi-sensor arrays are the basis of new technologies for the non-label monitoring of cell activity. In this paper we show that choroid plexus cells can be cultured on silicon chips and that sensors register in real time changes in their activity, constituting an interesting experimental paradigm for cell biology and medical research. To validate the signals recorded (metabolism = peri-cellular acidification, oxygen consumption = respiration; impedance = adhesion, cell shape and motility) we performed experiments with compounds that act in a well-known way on cells, influencing these parameters. Our in vitro model demonstrates the advantages of multi-sensor arrays in assessment and experimental characterization of dynamic cellular events—in this case in choroid plexus functions, however with applicability to other cell types as well.