Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.
Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.
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DOI:
10.3389/fphar.2023.1337319
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发表时间:
2023
影响因子:
5.6
通讯作者:
中科院分区:
文献类型:
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作者:
Colorectal cancer (CRC) stands as a leading cause of death worldwide, often arising from specific genetic mutations, progressing from pre-cancerous adenomas to adenocarcinomas. Early detection through regular screening can result in a 90% 5-year survival rate for patients. However, unfortunately, only a fraction of CRC cases are identified at pre-invasive stages, allowing progression to occur silently over 10–15 years. The intricate interplay between the immune system and tumor cells within the tumor microenvironment plays a pivotal role in the progression of CRC. Immune cell clusters can either inhibit or facilitate tumor initiation, growth, and metastasis. To gain a better understanding of this relationship, we conducted N-glycomic profiling using matrix-assisted laser desorption-ionization mass spectrometry imaging (MALDI-MSI). We detected nearly 100 N-glycan species across all samples, revealing a shift in N-glycome profiles from normal to cancerous tissues, marked by a decrease in high mannose N-glycans. Further analysis of precancerous to invasive carcinomas showed an increase in pauci-mannose biantennary, and tetraantennary N-glycans with disease progression. Moreover, a distinct stratification in the N-glycome profile was observed between non-mucinous and mucinous CRC tissues, driven by pauci-mannose, high mannose, and bisecting N-glycans. Notably, we identified immune clusters of CD20+ B cells and CD3/CD44+ T cells distinctive and predictive with signature profiles of bisecting and branched N-glycans. These spatial N-glycan profiles offer potential biomarkers and therapeutic targets throughout the progression of CRC.
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影响因子:
4.6
作者:
Bankhead P;Loughrey MB;Fernández JA;Dombrowski Y;McArt DG;Dunne PD;McQuaid S;Gray RT;Murray LJ;Coleman HG;James JA;Salto-Tellez M;Hamilton PW
通讯作者:
Hamilton PW
影响因子:
4.6
作者:
Doherty M;Theodoratou E;Walsh I;Adamczyk B;Stöckmann H;Agakov F;Timofeeva M;Trbojević-Akmačić I;Vučković F;Duffy F;McManus CA;Farrington SM;Dunlop MG;Perola M;Lauc G;Campbell H;Rudd PM
通讯作者:
Rudd PM
影响因子:
168.9
作者:
Cunningham, David;Atkin, Wendy;Starling, Naureen
通讯作者:
Starling, Naureen
影响因子:
--
作者:
de Vroome SW;Holst S;Girondo MR;van der Burgt YEM;Mesker WE;Tollenaar RAEM;Wuhrer M
通讯作者:
Wuhrer M
影响因子:
4.2
作者:
Coura MMA;Barbosa EA;Brand GD;Bloch C Jr;de Sousa JB
通讯作者:
de Sousa JB