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Integration of metabolites from meta-analysis with transcriptome reveals enhanced SPHK1 in PDAC with a background of pancreatitis

BACKGROUND: Pathophysiology of transformation of inflammatory lesions in chronic pancreatitis (CP) to pancreatic ductal adenocarcinoma (PDAC) is not clear. METHODS: We conducted a systematic review, meta-analysis of circulating metabolites, integrated this data with transcriptome analysis of human p...

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Autores principales: Ketavarapu, Vijayasarathy, Ravikanth, Vishnubhotla, Sasikala, Mitnala, Rao, G. V., Devi, Ch. Venkataramana, Sripadi, Prabhakar, Bethu, Murali Satyanarayana, Amanchy, Ramars, Murthy, H. V. V., Pandol, Stephen J., Reddy, D. Nageshwar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295503/
https://www.ncbi.nlm.nih.gov/pubmed/35854233
http://dx.doi.org/10.1186/s12885-022-09816-6
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author Ketavarapu, Vijayasarathy
Ravikanth, Vishnubhotla
Sasikala, Mitnala
Rao, G. V.
Devi, Ch. Venkataramana
Sripadi, Prabhakar
Bethu, Murali Satyanarayana
Amanchy, Ramars
Murthy, H. V. V.
Pandol, Stephen J.
Reddy, D. Nageshwar
author_facet Ketavarapu, Vijayasarathy
Ravikanth, Vishnubhotla
Sasikala, Mitnala
Rao, G. V.
Devi, Ch. Venkataramana
Sripadi, Prabhakar
Bethu, Murali Satyanarayana
Amanchy, Ramars
Murthy, H. V. V.
Pandol, Stephen J.
Reddy, D. Nageshwar
author_sort Ketavarapu, Vijayasarathy
collection PubMed
description BACKGROUND: Pathophysiology of transformation of inflammatory lesions in chronic pancreatitis (CP) to pancreatic ductal adenocarcinoma (PDAC) is not clear. METHODS: We conducted a systematic review, meta-analysis of circulating metabolites, integrated this data with transcriptome analysis of human pancreatic tissues and validated using immunohistochemistry. Our aim was to establish biomarker signatures for early malignant transformation in patients with underlying CP and identify therapeutic targets. RESULTS: Analysis of 19 studies revealed AUC of 0.86 (95% CI 0.81-0.91, P < 0.0001) for all the altered metabolites (n = 88). Among them, lipids showed higher differentiating efficacy between PDAC and CP; P-value (< 0.0001). Pathway enrichment analysis identified sphingomyelin metabolism (impact value-0.29, FDR of 0.45) and TCA cycle (impact value-0.18, FDR of 0.06) to be prominent pathways in differentiating PDAC from CP. Mapping circulating metabolites to corresponding genes revealed 517 altered genes. Integration of these genes with transcriptome data of CP and PDAC with a background of CP (PDAC-CP) identified three upregulated genes; PIGC, PPIB, PKM and three downregulated genes; AZGP1, EGLN1, GNMT. Comparison of CP to PDAC-CP and PDAC-CP to PDAC identified upregulation of SPHK1, a known oncogene. CONCLUSIONS: Our analysis suggests plausible role for SPHK1 in development of pancreatic adenocarcinoma in long standing CP patients. SPHK1 could be further explored as diagnostic and potential therapeutic target. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09816-6.
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spelling pubmed-92955032022-07-20 Integration of metabolites from meta-analysis with transcriptome reveals enhanced SPHK1 in PDAC with a background of pancreatitis Ketavarapu, Vijayasarathy Ravikanth, Vishnubhotla Sasikala, Mitnala Rao, G. V. Devi, Ch. Venkataramana Sripadi, Prabhakar Bethu, Murali Satyanarayana Amanchy, Ramars Murthy, H. V. V. Pandol, Stephen J. Reddy, D. Nageshwar BMC Cancer Research BACKGROUND: Pathophysiology of transformation of inflammatory lesions in chronic pancreatitis (CP) to pancreatic ductal adenocarcinoma (PDAC) is not clear. METHODS: We conducted a systematic review, meta-analysis of circulating metabolites, integrated this data with transcriptome analysis of human pancreatic tissues and validated using immunohistochemistry. Our aim was to establish biomarker signatures for early malignant transformation in patients with underlying CP and identify therapeutic targets. RESULTS: Analysis of 19 studies revealed AUC of 0.86 (95% CI 0.81-0.91, P < 0.0001) for all the altered metabolites (n = 88). Among them, lipids showed higher differentiating efficacy between PDAC and CP; P-value (< 0.0001). Pathway enrichment analysis identified sphingomyelin metabolism (impact value-0.29, FDR of 0.45) and TCA cycle (impact value-0.18, FDR of 0.06) to be prominent pathways in differentiating PDAC from CP. Mapping circulating metabolites to corresponding genes revealed 517 altered genes. Integration of these genes with transcriptome data of CP and PDAC with a background of CP (PDAC-CP) identified three upregulated genes; PIGC, PPIB, PKM and three downregulated genes; AZGP1, EGLN1, GNMT. Comparison of CP to PDAC-CP and PDAC-CP to PDAC identified upregulation of SPHK1, a known oncogene. CONCLUSIONS: Our analysis suggests plausible role for SPHK1 in development of pancreatic adenocarcinoma in long standing CP patients. SPHK1 could be further explored as diagnostic and potential therapeutic target. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09816-6. BioMed Central 2022-07-19 /pmc/articles/PMC9295503/ /pubmed/35854233 http://dx.doi.org/10.1186/s12885-022-09816-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ketavarapu, Vijayasarathy
Ravikanth, Vishnubhotla
Sasikala, Mitnala
Rao, G. V.
Devi, Ch. Venkataramana
Sripadi, Prabhakar
Bethu, Murali Satyanarayana
Amanchy, Ramars
Murthy, H. V. V.
Pandol, Stephen J.
Reddy, D. Nageshwar
Integration of metabolites from meta-analysis with transcriptome reveals enhanced SPHK1 in PDAC with a background of pancreatitis
title Integration of metabolites from meta-analysis with transcriptome reveals enhanced SPHK1 in PDAC with a background of pancreatitis
title_full Integration of metabolites from meta-analysis with transcriptome reveals enhanced SPHK1 in PDAC with a background of pancreatitis
title_fullStr Integration of metabolites from meta-analysis with transcriptome reveals enhanced SPHK1 in PDAC with a background of pancreatitis
title_full_unstemmed Integration of metabolites from meta-analysis with transcriptome reveals enhanced SPHK1 in PDAC with a background of pancreatitis
title_short Integration of metabolites from meta-analysis with transcriptome reveals enhanced SPHK1 in PDAC with a background of pancreatitis
title_sort integration of metabolites from meta-analysis with transcriptome reveals enhanced sphk1 in pdac with a background of pancreatitis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295503/
https://www.ncbi.nlm.nih.gov/pubmed/35854233
http://dx.doi.org/10.1186/s12885-022-09816-6
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