Abstract
A close association between patterns identified by magnifying narrow-band imaging (M-NBI) and histological type has been described. M-NBI patterns were also recently reported to be related to the mucin phenotype; however, detials remain unclear. We investigated the cellular differentiation of gastric cancer lesions, along with their mucosal distribution observed by M-NBI. Ninety-seven depressed-type early gastric cancer lesions (74 differentiated and 23 undifferentiated adenocarcinomas) were visualized by M-NBI. Findings were divided into 4 patterns based on abnormal microvascular architecture: a chain loop pattern (CLP), a fine network pattern (FNP), a corkscrew pattern (CSP), and an unclassified pattern. Mucin phenotypes were judged as gastric (G-type), intestinal (I-type), mixed gastric and intestinal (M-type), and null (N-type) based on 4 markers (MAC5AC, MUC6, MUC2, and CD10). The relationship of each pattern of microvascular architecture with organoid differentiation indicated by cancer cell differentiation and its distribution in each histological type of early gastric cancer was investigated. All CLP and FNP lesions were differentiated. The cancer cell distribution showed organoid differentiation in 84.2% (16/19) and 61.1% (22/36) of the two types of lesions, respectively, and there was a significant difference from the unclassified pattern with organoid differentiation (p<0.001). Almost all (94.7%; 18/19) CSP lesions were undifferentiated, and organoid differentiation was observed in 72.2% (13/18). There was a significant difference from the unclassified pattern with organoid differentiation (p<0.05). Cellular differentiation and distribution are associated with microvascular architecture observed by M-NBI.
Highlights
A close association between the results of magnifying narrow-band imaging (M-NBI) endoscopy and histological type has been noted for depressed-type early gastric carcinomas. Nakayoshi et al (2004) first reported that M-NBI is capable of predicting histological characteristics: differentiated-type carcinomas are characterized by a fine network pattern (FNP), and undifferentiated-type carcinomas are characterized by a corkscrew pattern (CSP)
Materials and Methods: We investigated the cellular differentiation of gastric cancer lesions, along with their mucosal distribution observed by M-NBI
The aim of this study was to indicate clearly adenocarcinoma, similar to the findings reported by why advanced gastric cancers lost the microvascular Nakyoshi et al (2004), and 13 of the 18 cases (72.2%)
Summary
A close association between the results of magnifying narrow-band imaging (M-NBI) endoscopy and histological type has been noted for depressed-type early gastric carcinomas. Nakayoshi et al (2004) first reported that M-NBI is capable of predicting histological characteristics: differentiated-type carcinomas are characterized by a fine network pattern (FNP), and undifferentiated-type carcinomas are characterized by a corkscrew pattern (CSP). A close association between the results of magnifying narrow-band imaging (M-NBI) endoscopy and histological type has been noted for depressed-type early gastric carcinomas. Findings were divided into 4 patterns based on abnormal microvascular architecture: a chain loop pattern (CLP), a fine network pattern (FNP), a corkscrew pattern (CSP), and an unclassified pattern. The relationship of each pattern of microvascular architecture with organoid differentiation indicated by cancer cell differentiation and its distribution in each histological type of early gastric cancer was investigated. The cancer cell distribution showed organoid differentiation in 84.2% (16/19) and 61.1% (22/36) of the two types of lesions, respectively, and there was a significant difference from the unclassified pattern with organoid differentiation (p
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
