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Exploration of potential novel drug targets and biomarkers for small cell lung cancer by plasma proteome screening
Background: Small cell lung cancer (SCLC) is characterized by extreme invasiveness and lethality. There have been very few developments in its diagnosis and treatment over the past decades. It is urgently needed to explore potential novel biomarkers and drug targets for SCLC. Methods: Two-sample Men...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511877/ https://www.ncbi.nlm.nih.gov/pubmed/37745050 http://dx.doi.org/10.3389/fphar.2023.1266782 |
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author | Wu, Yijun Wang, Zhile Yang, Yuqi Han, Chang Wang, Li Kang, Kai Zhao, Ailin |
author_facet | Wu, Yijun Wang, Zhile Yang, Yuqi Han, Chang Wang, Li Kang, Kai Zhao, Ailin |
author_sort | Wu, Yijun |
collection | PubMed |
description | Background: Small cell lung cancer (SCLC) is characterized by extreme invasiveness and lethality. There have been very few developments in its diagnosis and treatment over the past decades. It is urgently needed to explore potential novel biomarkers and drug targets for SCLC. Methods: Two-sample Mendelian Randomization (MR) was performed to investigate causal associations between SCLC and plasma proteins using genome-wide association studies (GWAS) summary statistics of SCLC from Transdisciplinary Research Into Cancer of the Lung Consortium (n(Case) = 2,791 vs. n(Control) = 20,580), and was validated in another cohort (n(Case) = 2,664 vs. n(Control) = 21,444). 734 plasma proteins and their genetic instruments of cis-acting protein quantitative trait loci (pQTL) were used, whereas external plasma proteome data was retrieved from deCODE database. Bidirectional MR, Steiger filtering and phenotype scanning were applied to further verify the associations. Results: Seven significant (p < 6.81 × 10(−5)) plasma protein-SCLC pairs were identified by MR analysis, including ACP5 (OR = 0.76, 95% CI: 0.67–0.86), CPB2 (OR = 0.90, 95% CI: 0.86–0.95), GSTM3 (OR = 0.45, 95% CI: 0.33–0.63), SHMT1 (OR = 0.74, 95% CI: 0.64–0.86), CTSB (OR = 0.79, 95% CI: 0.71–0.88), NTNG1 (OR = 0.81, 95% CI: 0.74–0.90) and FAM171B (OR = 1.40, 95% CI: 1.21–1.62). The external validation confirmed that CPB2, GSTM3 and NTNG1 had protective effects against SCLC, while FAM171B increased SCLC risk. However, the reverse causality analysis revealed that SCLC caused significant changes in plasma levels of most of these proteins, including decreases of ACP5, CPB2, GSTM3 and NTNG1, and the increase of FAM171B. Conclusion: This integrative analysis firstly suggested the causal associations between SCLC and plasma proteins, and the identified several proteins may be promising novel drug targets or biomarkers for SCLC. |
format | Online Article Text |
id | pubmed-10511877 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105118772023-09-22 Exploration of potential novel drug targets and biomarkers for small cell lung cancer by plasma proteome screening Wu, Yijun Wang, Zhile Yang, Yuqi Han, Chang Wang, Li Kang, Kai Zhao, Ailin Front Pharmacol Pharmacology Background: Small cell lung cancer (SCLC) is characterized by extreme invasiveness and lethality. There have been very few developments in its diagnosis and treatment over the past decades. It is urgently needed to explore potential novel biomarkers and drug targets for SCLC. Methods: Two-sample Mendelian Randomization (MR) was performed to investigate causal associations between SCLC and plasma proteins using genome-wide association studies (GWAS) summary statistics of SCLC from Transdisciplinary Research Into Cancer of the Lung Consortium (n(Case) = 2,791 vs. n(Control) = 20,580), and was validated in another cohort (n(Case) = 2,664 vs. n(Control) = 21,444). 734 plasma proteins and their genetic instruments of cis-acting protein quantitative trait loci (pQTL) were used, whereas external plasma proteome data was retrieved from deCODE database. Bidirectional MR, Steiger filtering and phenotype scanning were applied to further verify the associations. Results: Seven significant (p < 6.81 × 10(−5)) plasma protein-SCLC pairs were identified by MR analysis, including ACP5 (OR = 0.76, 95% CI: 0.67–0.86), CPB2 (OR = 0.90, 95% CI: 0.86–0.95), GSTM3 (OR = 0.45, 95% CI: 0.33–0.63), SHMT1 (OR = 0.74, 95% CI: 0.64–0.86), CTSB (OR = 0.79, 95% CI: 0.71–0.88), NTNG1 (OR = 0.81, 95% CI: 0.74–0.90) and FAM171B (OR = 1.40, 95% CI: 1.21–1.62). The external validation confirmed that CPB2, GSTM3 and NTNG1 had protective effects against SCLC, while FAM171B increased SCLC risk. However, the reverse causality analysis revealed that SCLC caused significant changes in plasma levels of most of these proteins, including decreases of ACP5, CPB2, GSTM3 and NTNG1, and the increase of FAM171B. Conclusion: This integrative analysis firstly suggested the causal associations between SCLC and plasma proteins, and the identified several proteins may be promising novel drug targets or biomarkers for SCLC. Frontiers Media S.A. 2023-09-06 /pmc/articles/PMC10511877/ /pubmed/37745050 http://dx.doi.org/10.3389/fphar.2023.1266782 Text en Copyright © 2023 Wu, Wang, Yang, Han, Wang, Kang and Zhao. 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 | Pharmacology Wu, Yijun Wang, Zhile Yang, Yuqi Han, Chang Wang, Li Kang, Kai Zhao, Ailin Exploration of potential novel drug targets and biomarkers for small cell lung cancer by plasma proteome screening |
title | Exploration of potential novel drug targets and biomarkers for small cell lung cancer by plasma proteome screening |
title_full | Exploration of potential novel drug targets and biomarkers for small cell lung cancer by plasma proteome screening |
title_fullStr | Exploration of potential novel drug targets and biomarkers for small cell lung cancer by plasma proteome screening |
title_full_unstemmed | Exploration of potential novel drug targets and biomarkers for small cell lung cancer by plasma proteome screening |
title_short | Exploration of potential novel drug targets and biomarkers for small cell lung cancer by plasma proteome screening |
title_sort | exploration of potential novel drug targets and biomarkers for small cell lung cancer by plasma proteome screening |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511877/ https://www.ncbi.nlm.nih.gov/pubmed/37745050 http://dx.doi.org/10.3389/fphar.2023.1266782 |
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