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Multi-Omics Analysis of Fatty Acid Metabolism in Thyroid Carcinoma

OBJECTIVE: Papillary thyroid carcinoma (PTC) accounts for the majority of thyroid cancer and affects a large number of individuals. The pathogenesis of PTC has not been completely elucidated thus far. Metabolic reprogramming is a common feature in tumours. Our previous research revealed the reprogra...

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Autores principales: Lu, Jinghui, Zhang, Yankun, Sun, Min, Ding, Changyuan, Zhang, Lei, Kong, Youzi, Cai, Meng, Miccoli, Paolo, Ma, Chunhong, Yue, Xuetian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717782/
https://www.ncbi.nlm.nih.gov/pubmed/34976793
http://dx.doi.org/10.3389/fonc.2021.737127
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author Lu, Jinghui
Zhang, Yankun
Sun, Min
Ding, Changyuan
Zhang, Lei
Kong, Youzi
Cai, Meng
Miccoli, Paolo
Ma, Chunhong
Yue, Xuetian
author_facet Lu, Jinghui
Zhang, Yankun
Sun, Min
Ding, Changyuan
Zhang, Lei
Kong, Youzi
Cai, Meng
Miccoli, Paolo
Ma, Chunhong
Yue, Xuetian
author_sort Lu, Jinghui
collection PubMed
description OBJECTIVE: Papillary thyroid carcinoma (PTC) accounts for the majority of thyroid cancer and affects a large number of individuals. The pathogenesis of PTC has not been completely elucidated thus far. Metabolic reprogramming is a common feature in tumours. Our previous research revealed the reprogramming of lipid metabolism in PTC. Further studies on lipid metabolism reprogramming may help elucidate the pathogenesis of PTC. METHODS: Clinical samples of PTC and para-tumour tissue were analysed using lipidomic, proteomic, and metabolomic approaches. A multi-omics integrative strategy was adopted to identify the important pathways in PTC. The findings were further confirmed using western blotting, tissue microarray, bioinformatics, and cell migration assays. RESULTS: Multi-omics data and the results of integrated analysis revealed that the three steps of fatty acid metabolism (hydrolysis, transportation, and oxidation) were significantly enhanced in PTC. Especially, the expression levels of LPL, FATP2, and CPT1A, three key enzymes in the respective steps, were elevated in PTC. Moreover, LPL, FATP2 and CPT1A expression was associated with the TNM stage, lymph node metastasis of PTC. Moreover, high levels of FATP2 and CPT1A contributed to poor prognosis of PTC. In addition, ectopic overexpression of LPL, FATP2 and CPT1A can each promote the migration of thyroid cancer cells. CONCLUSIONS: Our data suggested that enhanced fatty acid metabolism supplied additional energy and substrates for PTC progression. This may help elucidating the underlying mechanism of PTC pathogenesis and identifying the potential therapeutic targets for PTC.
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spelling pubmed-87177822021-12-31 Multi-Omics Analysis of Fatty Acid Metabolism in Thyroid Carcinoma Lu, Jinghui Zhang, Yankun Sun, Min Ding, Changyuan Zhang, Lei Kong, Youzi Cai, Meng Miccoli, Paolo Ma, Chunhong Yue, Xuetian Front Oncol Oncology OBJECTIVE: Papillary thyroid carcinoma (PTC) accounts for the majority of thyroid cancer and affects a large number of individuals. The pathogenesis of PTC has not been completely elucidated thus far. Metabolic reprogramming is a common feature in tumours. Our previous research revealed the reprogramming of lipid metabolism in PTC. Further studies on lipid metabolism reprogramming may help elucidate the pathogenesis of PTC. METHODS: Clinical samples of PTC and para-tumour tissue were analysed using lipidomic, proteomic, and metabolomic approaches. A multi-omics integrative strategy was adopted to identify the important pathways in PTC. The findings were further confirmed using western blotting, tissue microarray, bioinformatics, and cell migration assays. RESULTS: Multi-omics data and the results of integrated analysis revealed that the three steps of fatty acid metabolism (hydrolysis, transportation, and oxidation) were significantly enhanced in PTC. Especially, the expression levels of LPL, FATP2, and CPT1A, three key enzymes in the respective steps, were elevated in PTC. Moreover, LPL, FATP2 and CPT1A expression was associated with the TNM stage, lymph node metastasis of PTC. Moreover, high levels of FATP2 and CPT1A contributed to poor prognosis of PTC. In addition, ectopic overexpression of LPL, FATP2 and CPT1A can each promote the migration of thyroid cancer cells. CONCLUSIONS: Our data suggested that enhanced fatty acid metabolism supplied additional energy and substrates for PTC progression. This may help elucidating the underlying mechanism of PTC pathogenesis and identifying the potential therapeutic targets for PTC. Frontiers Media S.A. 2021-12-16 /pmc/articles/PMC8717782/ /pubmed/34976793 http://dx.doi.org/10.3389/fonc.2021.737127 Text en Copyright © 2021 Lu, Zhang, Sun, Ding, Zhang, Kong, Cai, Miccoli, Ma and Yue https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Lu, Jinghui
Zhang, Yankun
Sun, Min
Ding, Changyuan
Zhang, Lei
Kong, Youzi
Cai, Meng
Miccoli, Paolo
Ma, Chunhong
Yue, Xuetian
Multi-Omics Analysis of Fatty Acid Metabolism in Thyroid Carcinoma
title Multi-Omics Analysis of Fatty Acid Metabolism in Thyroid Carcinoma
title_full Multi-Omics Analysis of Fatty Acid Metabolism in Thyroid Carcinoma
title_fullStr Multi-Omics Analysis of Fatty Acid Metabolism in Thyroid Carcinoma
title_full_unstemmed Multi-Omics Analysis of Fatty Acid Metabolism in Thyroid Carcinoma
title_short Multi-Omics Analysis of Fatty Acid Metabolism in Thyroid Carcinoma
title_sort multi-omics analysis of fatty acid metabolism in thyroid carcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717782/
https://www.ncbi.nlm.nih.gov/pubmed/34976793
http://dx.doi.org/10.3389/fonc.2021.737127
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