Literature DB >> 33826667

5-aminolaevulinic acid (5-ALA) accumulates in GIST-T1 cells and photodynamic diagnosis using 5-ALA identifies gastrointestinal stromal tumors (GISTs) in xenograft tumor models.

Makiko Sasaki1, Mamoru Tanaka1, Hiroshi Ichikawa1, Taketo Suzuki1, Hirotada Nishie1, Keiji Ozeki1, Takaya Shimura1, Eiji Kubota1, Satoshi Tanida1, Hiromi Kataoka1.   

Abstract

Gastrointestinal stromal tumor (GIST) diagnosis using conventional gastrointestinal endoscopy is difficult because such malignancies cannot be distinguished from other types of submucosal tumors. Photodynamic diagnosis (PDD) is based on the preferential uptake of photosensitizers by tumor tissues and its detection by fluorescence emission upon laser excitation. In this study, we investigated whether PDD using 5-aminolevulinic acid (5-ALA), a standard photosensitizer used worldwide, could be used for GIST diagnosis. 5-ALA is metabolized to endogenous fluorescent protoporphyrin IX (PpIX). We examined the accumulation of PpIX in GIST-T1 cells using flow cytometry and immunofluorescent staining. Furthermore, we established GIST-T1 xenograft mouse models and examined PpIX accumulation in the resultant tumors. PpIX accumulated in GIST-T1 cells and was localized mainly to lysosomes. PpIX accumulation was also observed in murine xenograft tumors. Moreover, tumor and normal tissues could be distinctly identified by relative PpIX fluorescence. Thus, our results demonstrated that PDD with 5-ALA has substantial clinical potential for GIST diagnosis.

Entities:  

Year:  2021        PMID: 33826667     DOI: 10.1371/journal.pone.0249650

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  2 in total

Review 1.  Advances in Diagnosis and Therapy for Bladder Cancer.

Authors:  Xinzi Hu; Guangzhi Li; Song Wu
Journal:  Cancers (Basel)       Date:  2022-06-29       Impact factor: 6.575

2.  Fluorescence-Based Microendoscopic Sensing System for Minimally Invasive In Vivo Bladder Cancer Diagnosis.

Authors:  Sanghwa Lee; Jeongmin Oh; Minju Cho; Jun Ki Kim
Journal:  Biosensors (Basel)       Date:  2022-08-11
  2 in total

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