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Meta-analysis of commonly mutated genes in leptomeningeal carcinomatosis

BACKGROUND: Leptomeningeal carcinomatosis (LMC) is a rare type of cancer that settles at the meninges through metastasis of non-small cell lung cancer (NSCLC), breast cancer and melanoma. The molecular mechanism underlying LMC is not known, therefore molecular studies investigating the development o...

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Autores principales: Congur, Irem, Koni, Ekin, Onat, Onur Emre, Tokcaer Keskin, Zeynep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122459/
https://www.ncbi.nlm.nih.gov/pubmed/37096065
http://dx.doi.org/10.7717/peerj.15250
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author Congur, Irem
Koni, Ekin
Onat, Onur Emre
Tokcaer Keskin, Zeynep
author_facet Congur, Irem
Koni, Ekin
Onat, Onur Emre
Tokcaer Keskin, Zeynep
author_sort Congur, Irem
collection PubMed
description BACKGROUND: Leptomeningeal carcinomatosis (LMC) is a rare type of cancer that settles at the meninges through metastasis of non-small cell lung cancer (NSCLC), breast cancer and melanoma. The molecular mechanism underlying LMC is not known, therefore molecular studies investigating the development of LMC are needed. Here, we aimed to identify commonly mutated genes in LMC caused by NSCLC, breast cancer, and melanoma using an in-slico approach and their interactions using integrated bioinformatic approaches/tools in this meta-analysis. METHODS: We conducted a meta-analysis using information from 16 studies that included different sequencing techniques of patients with LMC caused by three different primary cancers: breast cancer, NSCLC, and melanoma. All studies that assessed mutation information from patients with LMC were searched in PubMed, from their inception to February, 16 2022. Studies that performed NGS on LMC patients with NSCLC, breast cancer, or melanoma were included, while studies that did not apply NGS to CSF samples, did not provide information on altered genes, were reviews, editorials, or conference abstracts, or whose main goal was the detection of malignancies were all excluded. We identified commonly mutated genes in all three types of cancer. Next, we constructed a protein-protein interaction network, then performed pathway enrichment analysis. We searched National Institutes of Health (NIH) and Drug-Gene Interaction Database (DGIdb) to find candidate drugs. RESULTS: We found that TP53, PTEN, PIK3CA, IL7R, and KMT2D genes were commonly mutated genes in all three types of cancer via our meta-analysis that consisted out of 16 studies. Our pathway enrichment analysis showed that all five genes were primarily associated with regulation of cell communication and signaling, and cell proliferation. Other enriched pathways included regulation of apoptotic processes of leukocytes and fibroblasts, macroautophagy and growth. According to our drug search we found candidate drugs; Everolimus, Bevacizumab and Temozolomide, which interact with these five genes. CONCLUSION: In conclusion, a total of 96 mutated genes in LMC were investigated via meta-analysis. Our findings suggested vital roles of TP53, PTEN, PIK3CA, KMT2D, and IL7R, which can provide insight into the molecular basis of LMC development and paving the door to the development of new targeted medicine and will encourage molecular biologists to seek biological evidence.
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spelling pubmed-101224592023-04-23 Meta-analysis of commonly mutated genes in leptomeningeal carcinomatosis Congur, Irem Koni, Ekin Onat, Onur Emre Tokcaer Keskin, Zeynep PeerJ Bioinformatics BACKGROUND: Leptomeningeal carcinomatosis (LMC) is a rare type of cancer that settles at the meninges through metastasis of non-small cell lung cancer (NSCLC), breast cancer and melanoma. The molecular mechanism underlying LMC is not known, therefore molecular studies investigating the development of LMC are needed. Here, we aimed to identify commonly mutated genes in LMC caused by NSCLC, breast cancer, and melanoma using an in-slico approach and their interactions using integrated bioinformatic approaches/tools in this meta-analysis. METHODS: We conducted a meta-analysis using information from 16 studies that included different sequencing techniques of patients with LMC caused by three different primary cancers: breast cancer, NSCLC, and melanoma. All studies that assessed mutation information from patients with LMC were searched in PubMed, from their inception to February, 16 2022. Studies that performed NGS on LMC patients with NSCLC, breast cancer, or melanoma were included, while studies that did not apply NGS to CSF samples, did not provide information on altered genes, were reviews, editorials, or conference abstracts, or whose main goal was the detection of malignancies were all excluded. We identified commonly mutated genes in all three types of cancer. Next, we constructed a protein-protein interaction network, then performed pathway enrichment analysis. We searched National Institutes of Health (NIH) and Drug-Gene Interaction Database (DGIdb) to find candidate drugs. RESULTS: We found that TP53, PTEN, PIK3CA, IL7R, and KMT2D genes were commonly mutated genes in all three types of cancer via our meta-analysis that consisted out of 16 studies. Our pathway enrichment analysis showed that all five genes were primarily associated with regulation of cell communication and signaling, and cell proliferation. Other enriched pathways included regulation of apoptotic processes of leukocytes and fibroblasts, macroautophagy and growth. According to our drug search we found candidate drugs; Everolimus, Bevacizumab and Temozolomide, which interact with these five genes. CONCLUSION: In conclusion, a total of 96 mutated genes in LMC were investigated via meta-analysis. Our findings suggested vital roles of TP53, PTEN, PIK3CA, KMT2D, and IL7R, which can provide insight into the molecular basis of LMC development and paving the door to the development of new targeted medicine and will encourage molecular biologists to seek biological evidence. PeerJ Inc. 2023-04-19 /pmc/articles/PMC10122459/ /pubmed/37096065 http://dx.doi.org/10.7717/peerj.15250 Text en © 2023 Congur et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Congur, Irem
Koni, Ekin
Onat, Onur Emre
Tokcaer Keskin, Zeynep
Meta-analysis of commonly mutated genes in leptomeningeal carcinomatosis
title Meta-analysis of commonly mutated genes in leptomeningeal carcinomatosis
title_full Meta-analysis of commonly mutated genes in leptomeningeal carcinomatosis
title_fullStr Meta-analysis of commonly mutated genes in leptomeningeal carcinomatosis
title_full_unstemmed Meta-analysis of commonly mutated genes in leptomeningeal carcinomatosis
title_short Meta-analysis of commonly mutated genes in leptomeningeal carcinomatosis
title_sort meta-analysis of commonly mutated genes in leptomeningeal carcinomatosis
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122459/
https://www.ncbi.nlm.nih.gov/pubmed/37096065
http://dx.doi.org/10.7717/peerj.15250
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