Skip to main content
Top
Published in: BMC Pulmonary Medicine 1/2021

Open Access 01-12-2021 | NSCLC | Research

GPC3 affects the prognosis of lung adenocarcinoma and lung squamous cell carcinoma

Authors: Jing Ning, Shenyi Jiang, Xiaoxi Li, Yang Wang, Xuhong Deng, Zhiqiang Zhang, Lijie He, Daqing Wang, Youhong Jiang

Published in: BMC Pulmonary Medicine | Issue 1/2021

Login to get access

Abstract

Background

Glypican 3 (GPC3) is a heparin sulphate proteoglycan whose expression is associated with several malignancies. However, its expression in non-small-cell lung carcinoma (NSCLC) is limited and ambiguous. This study aimed to comprehensively evaluate the expression of GPC3 in NSCLC and develop a risk-score model for predicting the prognosis of NSCLC.

Methods

The gene expression profiles of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) were downloaded from the UCSC Xena database. Using the limma package, the differentially expressed genes (DEGs) between different comparison groups were analysed and the differential expression of GPC3 was calculated. A functional enrichment analysis was conducted for GPC3-associated genes using the DAVID tool. For the GPC3-associated genes shared by the four comparison groups, a protein–protein interaction network was built using the Cytoscape software. After conducting a survival analysis and a Cox regression analysis, the genes found to be significantly correlated with prognosis were selected to construct a risk-score model. Besides, the gene and protein levels of GPC3 were examined by quantitative reverse transcriptase-PCR (qRT-PCR) and immunohistochemistry (IHC) in LUSC tissues and paracancer tissues.

Results

The differential expression of GPC3 was significant (adjusted P < 0.05) in the NSCLC vs. normal, LUAD vs. normal, LUSC versus normal, and LUAD versus. LUSC comparison groups. GPC3 directly interacted with SERPINA1, MFI2, and FOXM1. Moreover, GPC3 expression was significantly correlated with pathologic N, pathologic T, gender, and tumour stage in LUAD samples. Finally, the risk-score model (involving MFI2, FOXM1, and GPC3) for LUAD and that (involving SERPINA1 and FOXM1) for LUSC were established separately. The qRT-PCR result showed that GPC3 expression was much higher in the LUSC tissues than that in the normal group. The IHC results further showed that GPC3 is highly expressed in LUSC tissues, but low in paracancer tissues.

Conclusion

The three-gene risk-score model for LUAD and the two-gene risk-score model for LUSC might be valuable in improving the prognosis of these carcinomas.
Literature
2.
go back to reference Li J, Ran J, Chen L-C, Costa M, Huang Y, Chen X. Tian L: Bituminous coal combustion and Xuan Wei Lung cancer: a review of the epidemiology, intervention, carcinogens, and carcinogenesis. Arch Toxicol. 2019;93(3):573–83.PubMedCrossRef Li J, Ran J, Chen L-C, Costa M, Huang Y, Chen X. Tian L: Bituminous coal combustion and Xuan Wei Lung cancer: a review of the epidemiology, intervention, carcinogens, and carcinogenesis. Arch Toxicol. 2019;93(3):573–83.PubMedCrossRef
3.
go back to reference Herbst RS, Morgensztern D, Boshoff C. The biology and management of non-small cell lung cancer. Nature. 2018;553(7689):446–54.PubMedCrossRef Herbst RS, Morgensztern D, Boshoff C. The biology and management of non-small cell lung cancer. Nature. 2018;553(7689):446–54.PubMedCrossRef
4.
go back to reference Lee W, Jiang Z, Liu J, Haverty PM, Zhang Z. The mutation spectrum revealed by paired genome sequences from a lung cancer patient. Nature. 2010;465(7297):473–7.PubMedCrossRef Lee W, Jiang Z, Liu J, Haverty PM, Zhang Z. The mutation spectrum revealed by paired genome sequences from a lung cancer patient. Nature. 2010;465(7297):473–7.PubMedCrossRef
5.
go back to reference Osmani L, Askin F, Gabrielson E, Li QK. Current WHO guidelines and the critical role of immunohistochemical markers in the subclassification of non-small cell lung carcinoma (NSCLC): Moving from targeted therapy to immunotherapy. Semin Cancer Biol. 2018;52(Pt 1):103–9.PubMedCrossRef Osmani L, Askin F, Gabrielson E, Li QK. Current WHO guidelines and the critical role of immunohistochemical markers in the subclassification of non-small cell lung carcinoma (NSCLC): Moving from targeted therapy to immunotherapy. Semin Cancer Biol. 2018;52(Pt 1):103–9.PubMedCrossRef
6.
go back to reference Ren F, Ding H, Huang S, Wang H, Wu M, Luo D, Dang Y, Yang L, Chen G. Expression and clinicopathological significance of miR-193a-3p and its potential target astrocyte elevated gene-1 in non-small lung cancer tissues. Cancer Cell Int. 2015;15(1):1–10.CrossRef Ren F, Ding H, Huang S, Wang H, Wu M, Luo D, Dang Y, Yang L, Chen G. Expression and clinicopathological significance of miR-193a-3p and its potential target astrocyte elevated gene-1 in non-small lung cancer tissues. Cancer Cell Int. 2015;15(1):1–10.CrossRef
7.
go back to reference Puzone R, Savarino G, Salvi S, Dal Bello MG, Barletta G, Genova C, Rijavec E, Sini C, Esposito AI, Ratto GB, et al. Glyceraldehyde-3-phosphate dehydrogenase gene over expression correlates with poor prognosis in non small cell lung cancer patients. Mol Cancer. 2013;12(1):97.PubMedPubMedCentralCrossRef Puzone R, Savarino G, Salvi S, Dal Bello MG, Barletta G, Genova C, Rijavec E, Sini C, Esposito AI, Ratto GB, et al. Glyceraldehyde-3-phosphate dehydrogenase gene over expression correlates with poor prognosis in non small cell lung cancer patients. Mol Cancer. 2013;12(1):97.PubMedPubMedCentralCrossRef
8.
go back to reference Higashi K, Yamagishi T, Ueda Y, Ishigaki Y, Shimasaki M, Nakamura Y, Oguchi M, Takegami T, Sagawa M, Tonami H. Correlation of HIF-1α/HIF-2α expression with FDG uptake in lung adenocarcinoma. Ann Nucl Med. 2016;30(10):708–15.PubMedCrossRef Higashi K, Yamagishi T, Ueda Y, Ishigaki Y, Shimasaki M, Nakamura Y, Oguchi M, Takegami T, Sagawa M, Tonami H. Correlation of HIF-1α/HIF-2α expression with FDG uptake in lung adenocarcinoma. Ann Nucl Med. 2016;30(10):708–15.PubMedCrossRef
9.
go back to reference Liu N, Luo J, Kuang D, Xu S, Duan Y, Xia Y, Wei Z, et al. Lactate inhibits ATP6V0d2 expression in tumor-associated macrophages to promote HIF-2α-mediated tumor progression. J Clin Invest. 2018;129(2):631–46.CrossRef Liu N, Luo J, Kuang D, Xu S, Duan Y, Xia Y, Wei Z, et al. Lactate inhibits ATP6V0d2 expression in tumor-associated macrophages to promote HIF-2α-mediated tumor progression. J Clin Invest. 2018;129(2):631–46.CrossRef
10.
go back to reference Faraji SN, Mojtahedi Z, Ghalamfarsa G, Ta MA. N-myc downstream regulated gene 2 overexpression reduces matrix metalloproteinase-2 and -9 activities and cell invasion of A549 lung cancer cell line in vitro. Iran J Basic Med Sci. 2015;18(8):773–9.PubMedPubMedCentral Faraji SN, Mojtahedi Z, Ghalamfarsa G, Ta MA. N-myc downstream regulated gene 2 overexpression reduces matrix metalloproteinase-2 and -9 activities and cell invasion of A549 lung cancer cell line in vitro. Iran J Basic Med Sci. 2015;18(8):773–9.PubMedPubMedCentral
11.
go back to reference Chen CY, Chen YY, Hsieh MS, Ho CC, Chen KY, Shih JY, Yu CJ. Expression of Notch gene and its impact on survival of patients with resectable non-small cell lung cancer. J Cancer. 2017;8(7):1292–300.PubMedPubMedCentralCrossRef Chen CY, Chen YY, Hsieh MS, Ho CC, Chen KY, Shih JY, Yu CJ. Expression of Notch gene and its impact on survival of patients with resectable non-small cell lung cancer. J Cancer. 2017;8(7):1292–300.PubMedPubMedCentralCrossRef
12.
go back to reference Che J, Yue D, Zhang B, Hua Z, Huo Y, Gao L, Zhen H, Yan Y, Cao B. Claudin-3 inhibits lung squamous cell carcinoma cell epithelial–mesenchymal transition and invasion via suppression of the Wnt/β-catenin signaling pathway. Int J Med Sci. 2018;15(4):339–51.PubMedPubMedCentralCrossRef Che J, Yue D, Zhang B, Hua Z, Huo Y, Gao L, Zhen H, Yan Y, Cao B. Claudin-3 inhibits lung squamous cell carcinoma cell epithelial–mesenchymal transition and invasion via suppression of the Wnt/β-catenin signaling pathway. Int J Med Sci. 2018;15(4):339–51.PubMedPubMedCentralCrossRef
13.
go back to reference Aviel-Ronen S, Lau SK, Pintilie M, Lau D, Liu N, Tsao MS, Jothy S. Glypican-3 is overexpressed in lung squamous cell carcinoma, but not in adenocarcinoma. Mod Pathol Off J US Can Acad Pathol. 2008;21(7):817–25. Aviel-Ronen S, Lau SK, Pintilie M, Lau D, Liu N, Tsao MS, Jothy S. Glypican-3 is overexpressed in lung squamous cell carcinoma, but not in adenocarcinoma. Mod Pathol Off J US Can Acad Pathol. 2008;21(7):817–25.
14.
go back to reference Xiang YY, Ladeda V, Filmus J. Glypican-3 expression is silenced in human breast cancer. Oncogene. 2001;20(50):7408–12.PubMedCrossRef Xiang YY, Ladeda V, Filmus J. Glypican-3 expression is silenced in human breast cancer. Oncogene. 2001;20(50):7408–12.PubMedCrossRef
15.
go back to reference Toretsky JA, Zitomersky NL, Eskenazi AE, Voigt RW, Strauch ED, Sun CC, Huber R, Meltzer SJ, Schlessinger D. Glypican-3 expression in Wilms tumor and hepatoblastoma. J Pediatr Hematol Oncol. 2001;23(8):496–9.PubMedCrossRef Toretsky JA, Zitomersky NL, Eskenazi AE, Voigt RW, Strauch ED, Sun CC, Huber R, Meltzer SJ, Schlessinger D. Glypican-3 expression in Wilms tumor and hepatoblastoma. J Pediatr Hematol Oncol. 2001;23(8):496–9.PubMedCrossRef
16.
go back to reference Saikali Z, Sinnett D. Expression of glypican 3 (GPC3) in embryonal tumors. Int J Cancer. 2000;89(5):418–22.PubMedCrossRef Saikali Z, Sinnett D. Expression of glypican 3 (GPC3) in embryonal tumors. Int J Cancer. 2000;89(5):418–22.PubMedCrossRef
17.
18.
go back to reference Tahon AM, El-Ghanam MZ, Zaky S, Emran TM, Bersy AM, El-Raey F, Elsayed AZ, El Kharsawy AM, Johar D. Significance of Glypican-3 in early detection of hepatocellular carcinoma in cirrhotic patients. J Gastrointest Cancer. 2019;50(3):434–41.PubMedCrossRef Tahon AM, El-Ghanam MZ, Zaky S, Emran TM, Bersy AM, El-Raey F, Elsayed AZ, El Kharsawy AM, Johar D. Significance of Glypican-3 in early detection of hepatocellular carcinoma in cirrhotic patients. J Gastrointest Cancer. 2019;50(3):434–41.PubMedCrossRef
19.
go back to reference Kandil D, Leiman G, Allegretta M, Evans M. Glypican-3 protein expression in primary and metastatic melanoma: a combined immunohistochemistry and immunocytochemistry study. Cancer. 2009;117(4):271–8.PubMed Kandil D, Leiman G, Allegretta M, Evans M. Glypican-3 protein expression in primary and metastatic melanoma: a combined immunohistochemistry and immunocytochemistry study. Cancer. 2009;117(4):271–8.PubMed
20.
go back to reference Zynger DL, Dimov ND, Luan C, Teh BT, Yang XJ. Glypican 3: a novel marker in testicular germ cell tumors. Am J Surg Pathol. 2006;30(12):1570–5.PubMedCrossRef Zynger DL, Dimov ND, Luan C, Teh BT, Yang XJ. Glypican 3: a novel marker in testicular germ cell tumors. Am J Surg Pathol. 2006;30(12):1570–5.PubMedCrossRef
21.
go back to reference Pilia G, Hughes-Benzie RM, MacKenzie A, Baybayan P, Chen EY, Huber R, Neri G, Cao A, Forabosco A, Schlessinger D. Mutations in GPC3, a glypican gene, cause the Simpson-Golabi-Behmel overgrowth syndrome. Nat Genet. 1996;12(3):241–7.PubMedCrossRef Pilia G, Hughes-Benzie RM, MacKenzie A, Baybayan P, Chen EY, Huber R, Neri G, Cao A, Forabosco A, Schlessinger D. Mutations in GPC3, a glypican gene, cause the Simpson-Golabi-Behmel overgrowth syndrome. Nat Genet. 1996;12(3):241–7.PubMedCrossRef
22.
go back to reference Gonzalez AD, Kaya M, Shi W, Song H, Testa JR, Penn LZ, Filmus J. OCI-5/GPC3, a glypican encoded by a gene that is mutated in the Simpson–Golabi–Behmel overgrowth syndrome, induces apoptosis in a cell line-specific manner. J Cell Biol. 1998;141(6):1407–14.PubMedPubMedCentralCrossRef Gonzalez AD, Kaya M, Shi W, Song H, Testa JR, Penn LZ, Filmus J. OCI-5/GPC3, a glypican encoded by a gene that is mutated in the Simpson–Golabi–Behmel overgrowth syndrome, induces apoptosis in a cell line-specific manner. J Cell Biol. 1998;141(6):1407–14.PubMedPubMedCentralCrossRef
23.
go back to reference Lin H, Huber R, Schlessinger D, Morin PJ. Frequent silencing of the GPC3 gene in ovarian cancer cell lines. Can Res. 1999;59(4):807–10. Lin H, Huber R, Schlessinger D, Morin PJ. Frequent silencing of the GPC3 gene in ovarian cancer cell lines. Can Res. 1999;59(4):807–10.
24.
go back to reference Murthy SS, Shen T, De Rienzo A, Lee WC, Ferriola PC, Jhanwar SC, Mossman BT, Filmus J, Testa JR. Expression of GPC3, an X-linked recessive overgrowth gene, is silenced in malignant mesothelioma. Oncogene. 2000;19(3):410–6.PubMedCrossRef Murthy SS, Shen T, De Rienzo A, Lee WC, Ferriola PC, Jhanwar SC, Mossman BT, Filmus J, Testa JR. Expression of GPC3, an X-linked recessive overgrowth gene, is silenced in malignant mesothelioma. Oncogene. 2000;19(3):410–6.PubMedCrossRef
25.
go back to reference Peters MG, Farias E, Colombo L, Filmus J, Puricelli L. Bal de Kier Joffe E: Inhibition of invasion and metastasis by glypican-3 in a syngeneic breast cancer model. Breast Cancer Res Treat. 2003;80(2):221–32.PubMedCrossRef Peters MG, Farias E, Colombo L, Filmus J, Puricelli L. Bal de Kier Joffe E: Inhibition of invasion and metastasis by glypican-3 in a syngeneic breast cancer model. Breast Cancer Res Treat. 2003;80(2):221–32.PubMedCrossRef
26.
go back to reference Kim H, Xu GL, Borczuk AC, Busch S, Filmus J, Capurro M, Brody JS, Lange J, D’Armiento JM, Rothman PB, et al. The heparan sulfate proteoglycan GPC3 is a potential lung tumor suppressor. Am J Respir Cell Mol Biol. 2003;29(6):694–701.PubMedCrossRef Kim H, Xu GL, Borczuk AC, Busch S, Filmus J, Capurro M, Brody JS, Lange J, D’Armiento JM, Rothman PB, et al. The heparan sulfate proteoglycan GPC3 is a potential lung tumor suppressor. Am J Respir Cell Mol Biol. 2003;29(6):694–701.PubMedCrossRef
27.
go back to reference Aviel-Ronen S, Lau SK, Pintilie M, Lau D, Liu N, Tsao MS, Jothy S. Glypican-3 is overexpressed in lung squamous cell carcinoma, but not in adenocarcinoma. Mod Pathol. 2008;21(7):817–25.PubMedCrossRef Aviel-Ronen S, Lau SK, Pintilie M, Lau D, Liu N, Tsao MS, Jothy S. Glypican-3 is overexpressed in lung squamous cell carcinoma, but not in adenocarcinoma. Mod Pathol. 2008;21(7):817–25.PubMedCrossRef
28.
go back to reference Ritchie ME, Belinda P, Di W, Hu Y, Law CW, Wei S, Smyth GK. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43(7):e47.PubMedPubMedCentralCrossRef Ritchie ME, Belinda P, Di W, Hu Y, Law CW, Wei S, Smyth GK. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43(7):e47.PubMedPubMedCentralCrossRef
29.
go back to reference AaJJG S. Minimally adaptive BH: A tiny but uniform improvement of the procedure of Benjamini and Hochberg. Biometrical Journal Biometrische Zeitschrift. 2017;59(4):776–80.CrossRef AaJJG S. Minimally adaptive BH: A tiny but uniform improvement of the procedure of Benjamini and Hochberg. Biometrical Journal Biometrische Zeitschrift. 2017;59(4):776–80.CrossRef
30.
go back to reference Du J, Li M, Yuan Z, Guo M, Song J, Xie X, Chen Y. A decision analysis model for KEGG pathway analysis. BMC Bioinform. 2016;17(1):407.CrossRef Du J, Li M, Yuan Z, Guo M, Song J, Xie X, Chen Y. A decision analysis model for KEGG pathway analysis. BMC Bioinform. 2016;17(1):407.CrossRef
31.
go back to reference Kanehisa M, Furumichi M, Sato Y, Ishiguro-Watanabe M, Tanabe M. KEGG: integrating viruses and cellular organisms. Nucleic Acids Res. 2021;49(D1):D545–51.PubMedCrossRef Kanehisa M, Furumichi M, Sato Y, Ishiguro-Watanabe M, Tanabe M. KEGG: integrating viruses and cellular organisms. Nucleic Acids Res. 2021;49(D1):D545–51.PubMedCrossRef
32.
go back to reference Da WH, Sherman BT, Tan Q, Collins JR, et al. The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists. Genome Biol. 2007;8(9):1–16. Da WH, Sherman BT, Tan Q, Collins JR, et al. The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists. Genome Biol. 2007;8(9):1–16.
33.
go back to reference Shade A, Handelsman J. Beyond the Venn diagram: the hunt for a core microbiome. Environ Microbiol. 2012;14(1):4–12.PubMedCrossRef Shade A, Handelsman J. Beyond the Venn diagram: the hunt for a core microbiome. Environ Microbiol. 2012;14(1):4–12.PubMedCrossRef
34.
go back to reference Szklarczyk D, Franceschini A, Kuhn M, Simonovic M, Mering C. The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored. Nucleic Acids Res. 2010;39(Database issue):561–8. Szklarczyk D, Franceschini A, Kuhn M, Simonovic M, Mering C. The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored. Nucleic Acids Res. 2010;39(Database issue):561–8.
35.
go back to reference Kohl M, Wiese S, Warscheid B. Cytoscape: software for visualization and analysis of biological networks. Methods Mol Biol. 2011;696:291–303.PubMedCrossRef Kohl M, Wiese S, Warscheid B. Cytoscape: software for visualization and analysis of biological networks. Methods Mol Biol. 2011;696:291–303.PubMedCrossRef
36.
go back to reference Natarajan S, Lipsitz SR, Fitzmaurice GM, Sinha D, Ibrahim JG, Haas J, Gellad W. An extension of the Wilcoxon rank sum test for complex sample survey data. J R Stat Soc. 2012;61(4):653–64.CrossRef Natarajan S, Lipsitz SR, Fitzmaurice GM, Sinha D, Ibrahim JG, Haas J, Gellad W. An extension of the Wilcoxon rank sum test for complex sample survey data. J R Stat Soc. 2012;61(4):653–64.CrossRef
37.
go back to reference Acar EF, Sun L. A Generalized Kruskal-Wallis Test Incorporating Group Uncertainty with Application to Genetic Association Studies. Biometrics. 2013;69(2):427–35.PubMedCrossRef Acar EF, Sun L. A Generalized Kruskal-Wallis Test Incorporating Group Uncertainty with Application to Genetic Association Studies. Biometrics. 2013;69(2):427–35.PubMedCrossRef
38.
go back to reference Mezzina N, Campbell Davies SE, Ardizzone S. Nonbiological therapeutic management of ulcerative colitis. Expert Opin Pharmacother. 2018;19(16):1747–57.PubMedCrossRef Mezzina N, Campbell Davies SE, Ardizzone S. Nonbiological therapeutic management of ulcerative colitis. Expert Opin Pharmacother. 2018;19(16):1747–57.PubMedCrossRef
39.
go back to reference Gregg ME, Somnath D, Doug L. A log rank test for clustered data with informative within-cluster group size. Stat Med. 2018;37(27):4071–82.PubMedCrossRef Gregg ME, Somnath D, Doug L. A log rank test for clustered data with informative within-cluster group size. Stat Med. 2018;37(27):4071–82.PubMedCrossRef
40.
go back to reference Vivekanandan T, Narayanan SJ. A Hybrid Risk Assessment Model for Cardiovascular Disease Using Cox Regression Analysis and a 2-means clustering algorithm. Comput Biol Med. 2019;113:103400.PubMedCrossRef Vivekanandan T, Narayanan SJ. A Hybrid Risk Assessment Model for Cardiovascular Disease Using Cox Regression Analysis and a 2-means clustering algorithm. Comput Biol Med. 2019;113:103400.PubMedCrossRef
41.
go back to reference Team RC. R: a language and environment for statistical computing. Computing. 2014;1:12–21. Team RC. R: a language and environment for statistical computing. Computing. 2014;1:12–21.
42.
go back to reference Provenzano F, D’Arrigo G, Zoccali C, Tripepi G. Cox regression analysis in epidemiological research. Giornale italiano di nefrologia: organo ufficiale della Societa italiana di nefrologia. 2011;28(3):319–22. Provenzano F, D’Arrigo G, Zoccali C, Tripepi G. Cox regression analysis in epidemiological research. Giornale italiano di nefrologia: organo ufficiale della Societa italiana di nefrologia. 2011;28(3):319–22.
43.
go back to reference Stel VS, Dekker FW, Tripepi G, Zoccali C, Jager KJ. Survival analysis i: The Kaplan–Meier method. Nephron Clin Pract. 2011;119(1):c83–8.PubMedCrossRef Stel VS, Dekker FW, Tripepi G, Zoccali C, Jager KJ. Survival analysis i: The Kaplan–Meier method. Nephron Clin Pract. 2011;119(1):c83–8.PubMedCrossRef
44.
go back to reference Gronlund SD, Wixted JT, Mickes L. Evaluating eyewitness identification procedures using receiver operating characteristic analysis. Curr Dir Psychol Sci. 2014;23(1):3–10.CrossRef Gronlund SD, Wixted JT, Mickes L. Evaluating eyewitness identification procedures using receiver operating characteristic analysis. Curr Dir Psychol Sci. 2014;23(1):3–10.CrossRef
45.
go back to reference Arora S, Singh P, Rahmani AH, Almatroodi SA, Dohare R, Syed MA. Unravelling the role of miR-20b-5p, CCNB1, HMGA2 and E2F7 in development and progression of non-small cell lung cancer (NSCLC). Biology (Basel) 2020; 9(8). Arora S, Singh P, Rahmani AH, Almatroodi SA, Dohare R, Syed MA. Unravelling the role of miR-20b-5p, CCNB1, HMGA2 and E2F7 in development and progression of non-small cell lung cancer (NSCLC). Biology (Basel) 2020; 9(8).
46.
go back to reference Luo W, Tian P, Wang Y, Xu H, Chen L, Tang C, Shu Y, Zhang S, Wang Z, Zhang J. Characteristics of genomic alterations of lung adenocarcinoma in young never-smokers. Int J Cancer. 2018;143(7):1696–705.PubMedPubMedCentralCrossRef Luo W, Tian P, Wang Y, Xu H, Chen L, Tang C, Shu Y, Zhang S, Wang Z, Zhang J. Characteristics of genomic alterations of lung adenocarcinoma in young never-smokers. Int J Cancer. 2018;143(7):1696–705.PubMedPubMedCentralCrossRef
47.
go back to reference Gialmanidis IP, Bravou V, Amanetopoulou SG, Varakis J, Kourea H, Papadaki H. Overexpression of hedgehog pathway molecules and FOXM1 in non-small cell lung carcinomas. Lung Cancer. 2009;66(1):64–74.PubMedCrossRef Gialmanidis IP, Bravou V, Amanetopoulou SG, Varakis J, Kourea H, Papadaki H. Overexpression of hedgehog pathway molecules and FOXM1 in non-small cell lung carcinomas. Lung Cancer. 2009;66(1):64–74.PubMedCrossRef
48.
go back to reference Shen Y, Feng Z, Lin C, Hou X, Wang X, Wang J, Yu Y, Wang L, Sun X. An oligodeoxynucleotide that induces differentiation of bone marrow mesenchymal stem cells to osteoblasts in vitro and reduces alveolar bone loss in rats with periodontitis. Int J Mol Sci. 2012;13(3):2877–92.PubMedPubMedCentralCrossRef Shen Y, Feng Z, Lin C, Hou X, Wang X, Wang J, Yu Y, Wang L, Sun X. An oligodeoxynucleotide that induces differentiation of bone marrow mesenchymal stem cells to osteoblasts in vitro and reduces alveolar bone loss in rats with periodontitis. Int J Mol Sci. 2012;13(3):2877–92.PubMedPubMedCentralCrossRef
49.
go back to reference Xu N, Jia D, Chen W, Hao W, Liu F, Ge H, Zhu X, Song Y, Xin Z, Zhang D. FoxM1 is associated with poor prognosis of non-small cell lung cancer patients through promoting tumor metastasis. PLoS ONE. 2013;8(3):59412.CrossRef Xu N, Jia D, Chen W, Hao W, Liu F, Ge H, Zhu X, Song Y, Xin Z, Zhang D. FoxM1 is associated with poor prognosis of non-small cell lung cancer patients through promoting tumor metastasis. PLoS ONE. 2013;8(3):59412.CrossRef
50.
go back to reference Kong F-F, Qu Z-Q, Yuan H-H, Wang J-Y, Zhao M, Guo Y-H, Shi J, Gong X-D, Zhu Y-L, Liu F. Overexpression of FOXM1 is associated with EMT and is a predictor of poor prognosis in non-small cell lung cancer. Oncol Rep. 2014;31(6):2660–8.PubMedCrossRef Kong F-F, Qu Z-Q, Yuan H-H, Wang J-Y, Zhao M, Guo Y-H, Shi J, Gong X-D, Zhu Y-L, Liu F. Overexpression of FOXM1 is associated with EMT and is a predictor of poor prognosis in non-small cell lung cancer. Oncol Rep. 2014;31(6):2660–8.PubMedCrossRef
51.
go back to reference Xu N, Zhang X, Wang X, Ge HY, Wang XY, Garfield D, Yang P, Song YL, Bai CX. FoxM1 mediated resistance to gefitinib in non-smallcell lung cancer cells. Acta Pharmacol Sin. 2012;33(5):675–81.PubMedPubMedCentralCrossRef Xu N, Zhang X, Wang X, Ge HY, Wang XY, Garfield D, Yang P, Song YL, Bai CX. FoxM1 mediated resistance to gefitinib in non-smallcell lung cancer cells. Acta Pharmacol Sin. 2012;33(5):675–81.PubMedPubMedCentralCrossRef
52.
go back to reference Geene CM, Hassan T, Molloy K, McElvaney NG. The role of proteases, endoplasmic reticulum stress and SERPINA1heterozygosity in lung disease and α-1 anti-trypsin deficiency. Expert Rev Respir Med. 2011;5(3):395–411.CrossRef Geene CM, Hassan T, Molloy K, McElvaney NG. The role of proteases, endoplasmic reticulum stress and SERPINA1heterozygosity in lung disease and α-1 anti-trypsin deficiency. Expert Rev Respir Med. 2011;5(3):395–411.CrossRef
53.
go back to reference Mehta AJ, Thun GA, Imboden M, Ferrarotti I, Team S. Interactions between SERPINA1 PiMZ genotype, occupational exposure and lung function decline. Occup Environ Med. 2013;71(4):234–40.PubMedCrossRef Mehta AJ, Thun GA, Imboden M, Ferrarotti I, Team S. Interactions between SERPINA1 PiMZ genotype, occupational exposure and lung function decline. Occup Environ Med. 2013;71(4):234–40.PubMedCrossRef
54.
go back to reference Ercetin E, Richtmann S, Delgado BM, Gomez-Mariano G, Schneider MA. Clinical significance of SERPINA1 gene and its encoded Alpha1-antitrypsin protein in NSCLC. Cancers. 2019;11(9):1306.PubMedCentralCrossRef Ercetin E, Richtmann S, Delgado BM, Gomez-Mariano G, Schneider MA. Clinical significance of SERPINA1 gene and its encoded Alpha1-antitrypsin protein in NSCLC. Cancers. 2019;11(9):1306.PubMedCentralCrossRef
Metadata
Title
GPC3 affects the prognosis of lung adenocarcinoma and lung squamous cell carcinoma
Authors
Jing Ning
Shenyi Jiang
Xiaoxi Li
Yang Wang
Xuhong Deng
Zhiqiang Zhang
Lijie He
Daqing Wang
Youhong Jiang
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Pulmonary Medicine / Issue 1/2021
Electronic ISSN: 1471-2466
DOI
https://doi.org/10.1186/s12890-021-01549-9

Other articles of this Issue 1/2021

BMC Pulmonary Medicine 1/2021 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.