Exploring the potential of mucin 13 (MUC13) as a biomarker for carcinomas and other diseases

Filippou, Panagiota; Ren, Annie; Korbakis, Dimitrios; Dimitrakopoulos, Lampros; Soosaipillai, Antoninus; Barak, Vivian; Frenkel, Shahar; Pe’er, Jacob; Lotem, Michal; Merims, Sharon; Molina, Rafael; Blasutig, Ivan M.; Bogdanos, Dimitrios P.; Diamandis, Eleftherios P.

doi:10.1515/cclm-2018-0139

Cited by 17 publications

(13 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, microbiota can feed on mucin glycans and convert them into SCFAs that supply colonocytes and other gut epithelial cells with energy ( Ouwerkerk et al, 2013 ). Interestingly, MUC13 is abundant in many adenocarcinomas ( Sheng et al, 2019 ), where it serves as a potential prognostic factor ( Filippou et al, 2018 ).…”

Section: Resultsmentioning

confidence: 99%

Distinct Human Gut Microbial Taxonomic Signatures Uncovered With Different Sample Processing and Microbial Cell Disruption Methods for Metaproteomic Analysis

et al. 2021

View full text Add to dashboard Cite

The use of metaproteomics for studying the human gut microbiota can shed light on the taxonomic profile and the functional role of the microbial community. Nevertheless, methods for extracting proteins from stool samples continue to evolve, in the pursuit of optimal protocols for moistening and dispersing the stool sample and for disrupting microbial cells, which are two critical steps for ensuring good protein recovery. Here, we evaluated different stool sample processing (SSP) and microbial cell disruption methods (CDMs). The combination of a longer disintegration period of the stool sample in a tube rotator with sonication increased the overall number of identified peptides and proteins. Proteobacteria, Bacteroidetes, Planctomycetes, and Euryarchaeota identification was favored by mechanical cell disruption with glass beads. In contrast, the relative abundance of Firmicutes, Actinobacteria, and Fusobacteria was improved when sonication was performed before bead beating. Tenericutes and Apicomplexa identification was enhanced by moistening the stool samples during processing and by disrupting cells with medium-sized glass beads combined with or without sonication. Human protein identifications were affected by sonication. To test the reproducibility of these gut metaproteomic analyses, we examined samples from six healthy individuals using a protocol that had shown a good taxonomic diversity and identification of proteins from Proteobacteria and humans. We also detected proteins involved in microbial functions relevant to the host and related mostly to specific taxa, such as B12 biosynthesis and short chain fatty acid (SCFA) production carried out mainly by members in the Prevotella genus and the Firmicutes phylum, respectively. The taxonomic and functional profiles obtained with the different protocols described in this work provides the researcher with valuable information when choosing the most adequate protocol for the study of certain pathologies under suspicion of being related to a specific taxon from the gut microbiota.

show abstract

Section: Resultsmentioning

confidence: 99%

Distinct Human Gut Microbial Taxonomic Signatures Uncovered With Different Sample Processing and Microbial Cell Disruption Methods for Metaproteomic Analysis

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Genes highly expressed in epithelial or lung cells and significantly induced after nano-carbon black treatment, included MUC2 , MUC3A , MUC13 , MUC17 , GSTA1 , GSTA2 , FABP2 , APOA1 , APOA2 , APOA4 , and APOB (Excel Table S2E,H). Among these, MUC and GSTA genes have been largely correlated to or identified in lung and other cancers. − Meanwhile, FABP2 and APO genes, encoding for different apolipoproteins, might indicate changes in metabolism considered to play protective roles in lung diseases. − Thus, nano-carbon black treatment might promote the expression of cancer-related genes and trigger signaling pathways to facilitate the metabolism of xenobiotic nanoparticles and defensive systems. Indeed, KEGG enrichment analyses demonstrated that chemical carcinogenesis and metabolic pathways were significantly promoted after nano-carbon black treatment (Figure E, and Excel Table S2F,G).…”

Section: Resultsmentioning

confidence: 99%

Development of Human Lung Induction Models for Air Pollutants’ Toxicity Assessment

Liu

Yang

Chen

et al. 2021

Environ. Sci. Technol.

View full text Add to dashboard Cite

There is an urgent need for reliable and effective models to study air pollution health effects on human lungs. Here, we report the utilization of human pluripotent stem cell (hPSC) induction models for human lung progenitor cells (hLPs) and alveolar type 2 epithelial cell-like cells (ATLs) for the toxicity assessment of benzo(a)pyrene, nano-carbon black, and nano-SiO2, as common air pollutants. We induced hPSCs to generate ATLs, which recapitulated key features of human lung type 2 alveolar epithelial cells, and tested the induction models for cellular uptake of nanoparticles and toxicity evaluations. Our findings reveal internalization of nano-carbon black, dose-dependent uptake of nano-SiO2, and interference with surfactant secretion in ATLs exposed to benzo(a)pyrene/nano-SiO2. Thus, hLP and ATL induction models could facilitate the evaluation of environmental pollutants potentially affecting the lungs. In conclusion, this is one of the first studies that managed to adopt hPSC pulmonary induction models in toxicology studies.

show abstract

“…(3) Mucin-13 is a cell surface glycoprotein that is abnormally expressed in various epithelial cancers. Serum mucin 13 is elevated in 70% of active skin melanoma patients (except for uveal melanoma) [27]. (4) Alpha-cardiac actin is involved in various types of cell movements.…”

Section: B16 Melanoma-bearing Micementioning

confidence: 99%

Dynamic changes in the urine proteome of tumor-bearing mouse models of B16 melanoma and RM-1 prostate cancer

Pan

Liu

et al. 2020

Preprint

View full text Add to dashboard Cite

Urine can accumulate changes and reflect early physiological and pathological changes of various diseases, such as tumors. Therefore, urine is an ideal source for identification of early biomarkers. In this study, melanoma and prostate cancer-bearing mouse models were established by subcutaneous injection of B16 and RM-1 cells, respectively. Urine samples were collected at four time points during tumor growth. Based on dataindependent acquisition (DIA) technology, liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used for quantitative analysis. Compared with those before the injection of B16 cells, 38 human homologous differential proteins were identified, and 18 proteins were reported to be related to melanoma. Before the tumor was visible, there were 4 differential proteins, and all were reported to be related to melanoma. Compared with that before the injection of RM-1 cells, a total of 14 human homologous differential proteins were identified, and 9 proteins were reported to be associated with prostate cancer. Before the tumor was palpable, 9 proteins showed significant differences. There were significant differences between the two tumor-bearing models. Through the above experiments and analysis, we found that the urine proteome can reflect the changes in the development and provide early biomarkers of the two tumors and provide clues for the early clinical diagnosis of these diseases.Skin melanoma is one of the most common cancers in the world [1]. Melanoma is produced by the malignant transformation of melanocytes. This disease can occur in any part of the skin and mucous membranes. Melanoma easily metastasizes and is highly invasive and malignant, leading to high mortality. The diagnosis of melanoma is based on a combination of clinical and pathological techniques, including physical examination, histopathological examination and imaging examination. However, due to its variable histological morphology, with little or even no visible pigment, it is difficult to diagnose patients in the early stage and distinguish this condition from benign nevus in the clinic, which makes its early diagnosis difficult [2]. Early treatment of melanoma is mainly surgery, and advanced treatment includes chemotherapy, targeted therapy and immunotherapy. Compared with chemotherapy alone, targeted therapy and immunotherapy have significantly improved the survival rate of patients with advanced melanoma, but these two therapies are usually limited by the drug resistance rate and are not universally applicable [3,4]. The absolute survival rate of patients is still very low [5]. The 5-year survival rates of skin melanoma at stage I to IV are 97% (stage IA), 84% (stage IB), 68%, 55%, and 17% [6]. Therefore, early diagnosis can lead to early treatment and improve the survival rate of patients.Prostate cancer is one of the most common malignant tumors in men. In Europe and America, the incidence rate is highest among those of all cancers in males. The mortality rate is second only to that of lung cancer, ranking second fo...

show abstract

Exploring the potential of mucin 13 (MUC13) as a biomarker for carcinomas and other diseases

Cited by 17 publications

References 36 publications

Distinct Human Gut Microbial Taxonomic Signatures Uncovered With Different Sample Processing and Microbial Cell Disruption Methods for Metaproteomic Analysis

Distinct Human Gut Microbial Taxonomic Signatures Uncovered With Different Sample Processing and Microbial Cell Disruption Methods for Metaproteomic Analysis

Development of Human Lung Induction Models for Air Pollutants’ Toxicity Assessment

Dynamic changes in the urine proteome of tumor-bearing mouse models of B16 melanoma and RM-1 prostate cancer

Contact Info

Product

Resources

About