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Chen Z, Yu H, Chen X, Chen W, Song W, Li Z. Mutual regulation between glycosylation and transforming growth factor-β isoforms signaling pathway. Int J Biol Macromol 2023; 236:123818. [PMID: 36858092 DOI: 10.1016/j.ijbiomac.2023.123818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 01/18/2023] [Accepted: 02/19/2023] [Indexed: 03/02/2023]
Abstract
Transforming growth factor-beta (TGF-β) superfamily members orchestrate a wide breadth of biological processes. Through Sma and Mad (Smad)-related dependent or noncanonical pathways, TGF-β members involve in the occurrence and development of many diseases such as cancers, fibrosis, autoimmune diseases, cardiovascular diseases and brain diseases. Glycosylation is one kind of the most common posttranslational modifications on proteins or lipids. Abnormal protein glycosylation can lead to protein malfunction and biological process disorder, thereby causing serious diseases. Previously, researchers commonly make comprehensive systematic overviews on the roles of TGF-β signaling in a specific disease or biological process. In recent years, more and more evidences associate glycosylation modification with TGF-β signaling pathway, and we can no longer disengage and ignore the roles of glycosylation from TGF-β signaling to make investigation. In this review, we provide an overview of current findings involved in glycosylation within TGF-βs and theirs receptors, and the interaction effects between glycosylation and TGF-β subfamily signaling, concluding that there is an intricate mutual regulation between glycosylation and TGF-β signaling, hoping to present the glycosylation regulatory patterns that concealed in TGF-βs signaling pathways.
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Affiliation(s)
- Zhuo Chen
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University, Xi'an 710069, PR China
| | - Hanjie Yu
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University, Xi'an 710069, PR China
| | - Xiangqin Chen
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University, Xi'an 710069, PR China
| | - Wentian Chen
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University, Xi'an 710069, PR China
| | - Wanghua Song
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University, Xi'an 710069, PR China
| | - Zheng Li
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University, Xi'an 710069, PR China.
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Liu X, Ma H, Ma L, Li K, Kang Y. RNA-binding protein with serine-rich domain 1 regulates microsatellite instability of uterine corpus endometrial adenocarcinoma. Clinics (Sao Paulo) 2021; 76:e3318. [PMID: 34817046 PMCID: PMC8579855 DOI: 10.6061/clinics/2021/e3318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/21/2021] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE To determine the role of RNA-binding protein with serine-rich domain 1 (RNPS1) in uterine corpus endometrial carcinoma (UCEC), the role of RNPS1 knockdown in UCEC development in vitro and in vivo, and the relationship between RNPS1 and mismatch repair (MMR) in UCEC. METHODS We predicted the potential function of RNPS1 using bioinformatics systems. The expression of RNPS1 in tissues and cell lines was analyzed by western blotting and immunohistochemistry. The expression of RNPS1 in MMR was assessed using bioinformatics and western blotting. The proliferation and apoptosis of UCEC cells were assessed under RNPS1 knockdown conditions, and RNPS1 regulation in MMR was detected by suppressing Notch signaling. Associations between RNPS1 and gene mutations in UCEC and prognosis were analyzed. RESULTS The RNPS1 level was higher in UCEC tumors than in normal tissues and tumors or RL952 cells. Prognostic outcomes were worse when UCEC showed abundant RNPS1 expression. Lentiviral RNPS1 knockdown weakened tumor cell proliferation and suppressed biomarker expression, reduced the tumor volume, promoted apoptosis in vitro and in vivo, and inhibited UCEC development. Increased MutS homolog 2 (MSH2) and MutS homolog 6 (MSH6) levels in MMR after RNPS1 knockdown were reversed by inhibiting Notch signaling. Furthermore, RNPS1 was associated with mutations in NAA11, C2orf57, NUPR1, and other genes involved in UCEC prognosis. CONCLUSION RNPS1 may regulate the expression levels of MSH2 and MSH6 in MMR, enhancing the proliferation, development, and prognosis of UCEC through a Notch signaling pathway in UCEC. Our study offers a new method and strategy for delaying UCEC development through modulating MMR.
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Venturi G, Gomes Ferreira I, Pucci M, Ferracin M, Malagolini N, Chiricolo M, Dall'Olio F. Impact of sialyltransferase ST6GAL1 overexpression on different colon cancer cell types. Glycobiology 2020; 29:684-695. [PMID: 31317190 DOI: 10.1093/glycob/cwz053] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 07/11/2019] [Accepted: 07/11/2019] [Indexed: 12/11/2022] Open
Abstract
Cancer-associated glycan structures can be both tumor markers and engines of disease progression. The structure Siaα2,6Galβ1,4GlcNAc (Sia6LacNAc), synthesized by sialyltransferase ST6GAL1, is a cancer-associated glycan. Although ST6GAL1/Sia6LacNAc are often overexpressed in colorectal cancer (CRC), their biological and clinical significance remains unclear. To get insights into the clinical relevance of ST6GAL1 expression in CRC, we interrogated The Cancer Genome Atlas with mRNA expression data of hundreds of clinically characterized CRC and normal samples. We found an association of low ST6GAL1 expression with microsatellite instability (MSI), BRAF mutations and mucinous phenotype but not with stage, response to therapy and survival. To investigate the impact of ST6GAL1 expression in experimental systems, we analyzed the transcriptome and the phenotype of the CRC cell lines SW948 and SW48 after retroviral transduction with ST6GAL1 cDNA. The two cell lines display the two main pathways of CRC transformation: chromosomal instability and MSI, respectively. Constitutive ST6GAL1 expression induced much deeper transcriptomic changes in SW948 than in SW48 and affected different genes in the two cell lines. ST6GAL1 expression affected differentially the tyrosine phosphorylation induced by hepatocyte growth factor, the ability to grow in soft agar, to heal a scratch wound and to invade Matrigel in the two cell lines. These results indicate that the altered expression of a cancer-associated glycosyltransferase impacts the gene expression profile, as well as the phenotype, although in a cancer subtype-specific manner.
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Affiliation(s)
- Giulia Venturi
- Department of Experimental, Diagnostic and Specialty Medicine, General Pathology Building, University of Bologna Via S. Giacomo 14, Bologna, Italy
| | - Inês Gomes Ferreira
- Department of Experimental, Diagnostic and Specialty Medicine, General Pathology Building, University of Bologna Via S. Giacomo 14, Bologna, Italy
| | - Michela Pucci
- Department of Experimental, Diagnostic and Specialty Medicine, General Pathology Building, University of Bologna Via S. Giacomo 14, Bologna, Italy
| | - Manuela Ferracin
- Department of Experimental, Diagnostic and Specialty Medicine, General Pathology Building, University of Bologna Via S. Giacomo 14, Bologna, Italy
| | - Nadia Malagolini
- Department of Experimental, Diagnostic and Specialty Medicine, General Pathology Building, University of Bologna Via S. Giacomo 14, Bologna, Italy
| | - Mariella Chiricolo
- Department of Experimental, Diagnostic and Specialty Medicine, General Pathology Building, University of Bologna Via S. Giacomo 14, Bologna, Italy
| | - Fabio Dall'Olio
- Department of Experimental, Diagnostic and Specialty Medicine, General Pathology Building, University of Bologna Via S. Giacomo 14, Bologna, Italy
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Abstract
Transforming growth factor-beta (TGF-β) signaling is one of the important cellular pathways that play key roles for tissue maintenance. In particular, it is important in the context of inflammation and tumorigenesis by modulating cell growth, differentiation, apoptosis, and homeostasis. TGF-β receptor type 2 (TGFBR2) mutations affected by a mismatch repair deficiency causes colorectal cancers (CRCs) with microsatellite instability, which is, however, associated with relatively better survival rates. On the other hand, loss of SMAD4, a transcription factor in the TGF-β superfamily signaling, promotes tumor progression. Loss of heterozygosity on chromosome 18 can case SMAD4-deficient CRC, which results in poorer patients' survival. Such bidirectional phenomenon driven by TGF-β signaling insufficiency reflects the complexity of this signaling pathway in CRC. Moreover, recent understanding of CRC at the molecular level (consensus molecular subtype classification) provides deep insight into the important roles of TGF-β signaling in the tumor microenvironment. Here we focus on the TGF-β signaling in CRC and its interaction with the tumor microenvironment. We summarize the molecular mechanisms of CRC tumorigenesis and progression caused by disruption of TGF-β signaling by cancer epithelial cells and host stromal cells.
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5
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Transforming Growth Factor-β Signaling Pathway in Colorectal Cancer and Its Tumor Microenvironment. Int J Mol Sci 2019; 20:ijms20235822. [PMID: 31756952 PMCID: PMC6929101 DOI: 10.3390/ijms20235822] [Citation(s) in RCA: 136] [Impact Index Per Article: 27.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Revised: 11/14/2019] [Accepted: 11/18/2019] [Indexed: 02/08/2023] Open
Abstract
Transforming growth factor-beta (TGF-β) signaling is one of the important cellular pathways that play key roles for tissue maintenance. In particular, it is important in the context of inflammation and tumorigenesis by modulating cell growth, differentiation, apoptosis, and homeostasis. TGF-β receptor type 2 (TGFBR2) mutations affected by a mismatch repair deficiency causes colorectal cancers (CRCs) with microsatellite instability, which is, however, associated with relatively better survival rates. On the other hand, loss of SMAD4, a transcription factor in the TGF-β superfamily signaling, promotes tumor progression. Loss of heterozygosity on chromosome 18 can case SMAD4-deficient CRC, which results in poorer patients’ survival. Such bidirectional phenomenon driven by TGF-β signaling insufficiency reflects the complexity of this signaling pathway in CRC. Moreover, recent understanding of CRC at the molecular level (consensus molecular subtype classification) provides deep insight into the important roles of TGF-β signaling in the tumor microenvironment. Here we focus on the TGF-β signaling in CRC and its interaction with the tumor microenvironment. We summarize the molecular mechanisms of CRC tumorigenesis and progression caused by disruption of TGF-β signaling by cancer epithelial cells and host stromal cells.
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Fricke F, Mussack V, Buschmann D, Hausser I, Pfaffl MW, Kopitz J, Gebert J. TGFBR2‑dependent alterations of microRNA profiles in extracellular vesicles and parental colorectal cancer cells. Int J Oncol 2019; 55:925-937. [PMID: 31432155 DOI: 10.3892/ijo.2019.4859] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 07/22/2019] [Indexed: 12/13/2022] Open
Abstract
In colorectal cancer (CRC) with microsatellite instability (MSI), >90% of cases are affected by inactivating frameshift mutations of transforming growth factor β receptor type 2 (TGFBR2). TGFBR2 deficiency is considered to drive MSI tumor progression by abrogating downstream TGF‑β signaling. This pathway can alter the expression of coding and non‑coding RNAs, including microRNAs (miRNAs), which are also present in extracellular vesicles (EVs) as post‑transcriptional modulators of gene expression. In our previous study, it was shown that TGFBR2 deficiency alters the protein composition and function of EVs in MSI tumors. To investigate whether mutant TGFBR2 may also affect the miRNA cargo of EVs, the present study characterized miRNAs in EVs and their parental MSI tumor cells that differed only in TGFBR2 expression status. The HCT116‑TGFBR2 MSI cell line model enables the doxycycline (dox)‑inducible reconstituted expression of TGFBR2 in an isogenic background (‑dox, TGFBR2 deficient; +dox, TGFBR2 proficient). Small RNA sequencing of cellular and EV miRNAs showed that the majority of the miRNAs (263/471; 56%) were shared between MSI tumor cells and their EVs. Exploratory data analysis revealed the TGBFR2‑dependent cluster separation of miRNA profiles in EVs and MSI tumor cells. This segregation appeared to result from two subsets of miRNAs, the expression of which were regulated in a TGFBR2‑dependent manner (EVs: n=10; MSI cells: n=15). In the EV subset, 7/10 miRNAs were downregulated and 3/10 were upregulated by TGFBR2 deficiency. In the cellular subset, 13/15 miRNAs were downregulated and 2/15 miRNAs were upregulated in the TGFBR2‑deficient cells. The present study emphasizes the general overlap of miRNA profiles in MSI tumor cells and their EVs, but also highlights the impact of a single tumor driver mutation on the expression of individual miRNAs, as exemplified by the downregulation of miR‑381‑3p in TGFBR2‑deficient MSI tumor cells and their secreted EVs.
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Affiliation(s)
- Fabia Fricke
- Department of Applied Tumor Biology, Institute of Pathology, Heidelberg University Hospital, D‑69120 Heidelberg, Germany
| | - Veronika Mussack
- Department of Animal Physiology and Immunology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, D‑85354 Freising, Germany
| | - Dominik Buschmann
- Department of Animal Physiology and Immunology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, D‑85354 Freising, Germany
| | - Ingrid Hausser
- EM‑Lab, Institute of Pathology, Heidelberg University Hospital, D‑69120 Heidelberg, Germany
| | - Michael W Pfaffl
- Department of Animal Physiology and Immunology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, D‑85354 Freising, Germany
| | - Jürgen Kopitz
- Department of Applied Tumor Biology, Institute of Pathology, Heidelberg University Hospital, D‑69120 Heidelberg, Germany
| | - Johannes Gebert
- Department of Applied Tumor Biology, Institute of Pathology, Heidelberg University Hospital, D‑69120 Heidelberg, Germany
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Wan Z, Chai R, Yuan H, Chen B, Dong Q, Zheng B, Mou X, Pan W, Tu Y, Yang Q, Tu S, Hu X. MEIS2 promotes cell migration and invasion in colorectal cancer. Oncol Rep 2019; 42:213-223. [PMID: 31115559 PMCID: PMC6549210 DOI: 10.3892/or.2019.7161] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 03/18/2019] [Indexed: 12/11/2022] Open
Abstract
Colorectal cancer (CRC) is one of the most common types of malignancy worldwide. Distant metastasis is a key cause of CRC-associated mortality. MEIS2 has been identified to be dysregulated in several types of human cancer. However, the mechanisms underlying the regulatory role of MEIS2 in CRC metastasis remain largely unknown. For the first time, the present study demonstrated that MEIS2 serves a role as a promoter of metastasis in CRC. In vivo and in vitro experiments revealed that knockdown of MEIS2 significantly suppressed CRC migration, invasion and the epithelial-mesenchymal transition. Furthermore, microarray and bioinformatics analyses were performed to investigate the underlying mechanisms of MEIS2 in the regulation of CRC metastasis. Additionally, it was identified that a high expression of MEIS2 was significantly associated with a shorter overall survival time for patients with CRC. The present study demonstrated that MEIS2 may serve as a novel biomarker for CRC.
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Affiliation(s)
- Ziang Wan
- Department of Colorectal Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang 310014, P.R. China
| | - Rui Chai
- Department of Colorectal Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang 310014, P.R. China
| | - Hang Yuan
- Department of Colorectal Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang 310014, P.R. China
| | - Bingchen Chen
- Department of Colorectal Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang 310014, P.R. China
| | - Quanjin Dong
- Department of Colorectal Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang 310014, P.R. China
| | - Boan Zheng
- Department of Colorectal Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang 310014, P.R. China
| | - Xiaozhou Mou
- Clinical Research Institute, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang 310014, P.R. China
| | - Wensheng Pan
- Department of Gastroenterology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang 310014, P.R. China
| | - Yifeng Tu
- Department of Pathology, College of Basic Medical Sciences, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
| | - Qing Yang
- Department of Academy of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China
| | - Shiliang Tu
- Department of Colorectal Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang 310014, P.R. China
| | - Xinye Hu
- Department of Colorectal Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang 310014, P.R. China
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Wu J, Guo NZ, Cui LL, Wang W, Xiong CQ, Zhang XY. Correlation between tripartite motif-containing protein 44 protein expression and the prognosis of postoperative patients exhibiting skin squamous cell carcinoma. Medicine (Baltimore) 2018; 97:e13021. [PMID: 30383661 PMCID: PMC6221647 DOI: 10.1097/md.0000000000013021] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Tripartite motif-containing protein 44 (TRIM44) plays an important role in the development and progression of some human cancers; however, its role in skin squamous cell carcinoma (SCC) remains unknown. The aim of the present study was to investigate TRIM44 expression and clinicopathological significance of TRIM44 in SCC.Immunohistochemistry (IHC) technique, reverse transcriptase-polymerase chain reaction (RT-PCR) and western blot were performed to evaluate differences in TRIM44 protein expression in SCC and normal skin tissues.IHC showed that the positive rate of TRIM44 staining in SCC tissues 26.00% (9/30), while the positive rate of normal control group was 83.33% (25/30). The positive rate of TRIM44 staining in SCC tissues is significantly lower than normal skin tissue (P <.01). RT-PCR showed that the positive rates of TRIM44 mRNA expression in SCC tissues were 16.67% (5/30), but the positive rate of normal control group was 86.67% (26/30). TRIM44 mRNA expression in SCC group was significantly lower than that in the normal group (P <.01). Kaplan-Meier survival analysis showed that low expression was associated with poor overall survival in SCC patients (P =.004). Multi-factor survival analysis indicated that both low TRIM44 expression and tumor stage were independent factors affecting the overall survival of patients with SCC (P =.038 and P =.001, respectively). Low expression of TRIM44 in SCC was associated with staging (P =.009 and P =.008, respectively) and metastasis (P =.003 and P =.004, respectively).The levels of TRIM44 protein and TRIM44 mRNA in SCC are both lowly expressed which is strongly associated with tumor staging, metastasis, and poor survival. And it also is an independent factor affecting the overall survival of patients with SCC.
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Affiliation(s)
- Jian Wu
- Department of Laboratory Medicine, The First People's Hospital of Yancheng City, Yancheng
| | - Nai-Zhou Guo
- Department of Laboratory Medicine, The First People's Hospital of Yancheng City, Yancheng
| | - Lei-lei Cui
- Department of Laboratory Medicine, The First People's Hospital of Yancheng City, Yancheng
| | - Wei Wang
- Department of Laboratory Medicine, The First People's Hospital of Yancheng City, Yancheng
| | - Cun-quan Xiong
- College of pharmacy, Jiangsu Vocational College Medicine, Yancheng, Jiangsu, China
| | - Xue-yan Zhang
- College of pharmacy, Jiangsu Vocational College Medicine, Yancheng, Jiangsu, China
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9
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Ji X, Bossé Y, Landi MT, Gui J, Xiao X, Qian D, Joubert P, Lamontagne M, Li Y, Gorlov I, de Biasi M, Han Y, Gorlova O, Hung RJ, Wu X, McKay J, Zong X, Carreras-Torres R, Christiani DC, Caporaso N, Johansson M, Liu G, Bojesen SE, Le Marchand L, Albanes D, Bickeböller H, Aldrich MC, Bush WS, Tardon A, Rennert G, Chen C, Teare MD, Field JK, Kiemeney LA, Lazarus P, Haugen A, Lam S, Schabath MB, Andrew AS, Shen H, Hong YC, Yuan JM, Bertazzi PA, Pesatori AC, Ye Y, Diao N, Su L, Zhang R, Brhane Y, Leighl N, Johansen JS, Mellemgaard A, Saliba W, Haiman C, Wilkens L, Fernandez-Somoano A, Fernandez-Tardon G, van der Heijden EHFM, Kim JH, Dai J, Hu Z, Davies MPA, Marcus MW, Brunnström H, Manjer J, Melander O, Muller DC, Overvad K, Trichopoulou A, Tumino R, Doherty J, Goodman GE, Cox A, Taylor F, Woll P, Brüske I, Manz J, Muley T, Risch A, Rosenberger A, Grankvist K, Johansson M, Shepherd F, Tsao MS, Arnold SM, Haura EB, Bolca C, Holcatova I, Janout V, Kontic M, Lissowska J, Mukeria A, Ognjanovic S, Orlowski TM, Scelo G, Swiatkowska B, Zaridze D, Bakke P, Skaug V, Zienolddiny S, Duell EJ, Butler LM, Koh WP, Gao YT, Houlston R, McLaughlin J, Stevens V, Nickle DC, Obeidat M, Timens W, Zhu B, Song L, Artigas MS, Tobin MD, Wain LV, Gu F, Byun J, Kamal A, Zhu D, Tyndale RF, Wei WQ, Chanock S, Brennan P, Amos CI. Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun 2018; 9:3221. [PMID: 30104567 PMCID: PMC6089967 DOI: 10.1038/s41467-018-05074-y] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 05/01/2018] [Indexed: 12/20/2022] Open
Abstract
Genome-wide association studies (GWAS) identified the chromosome 15q25.1 locus as a leading susceptibility region for lung cancer. However, the pathogenic pathways, through which susceptibility SNPs within chromosome 15q25.1 affects lung cancer risk, have not been explored. We analyzed three cohorts with GWAS data consisting 42,901 individuals and lung expression quantitative trait loci (eQTL) data on 409 individuals to identify and validate the underlying pathways and to investigate the combined effect of genes from the identified susceptibility pathways. The KEGG neuroactive ligand receptor interaction pathway, two Reactome pathways, and 22 Gene Ontology terms were identified and replicated to be significantly associated with lung cancer risk, with P values less than 0.05 and FDR less than 0.1. Functional annotation of eQTL analysis results showed that the neuroactive ligand receptor interaction pathway and gated channel activity were involved in lung cancer risk. These pathways provide important insights for the etiology of lung cancer.
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Grants
- P30 CA023108 NCI NIH HHS
- P30 CA076292 NCI NIH HHS
- U01 CA063464 NCI NIH HHS
- P50 CA070907 NCI NIH HHS
- R01 CA111703 NCI NIH HHS
- UM1 CA182876 NCI NIH HHS
- UL1 TR000117 NCATS NIH HHS
- P20 CA090578 NCI NIH HHS
- U19 CA148127 NCI NIH HHS
- P20 GM103534 NIGMS NIH HHS
- UL1 TR000445 NCATS NIH HHS
- R01 LM012012 NLM NIH HHS
- R01 CA092824 NCI NIH HHS
- R35 CA197449 NCI NIH HHS
- UM1 CA164973 NCI NIH HHS
- U01 CA167462 NCI NIH HHS
- U19 CA203654 NCI NIH HHS
- R01 CA144034 NCI NIH HHS
- P20 RR018787 NCRR NIH HHS
- S10 RR025141 NCRR NIH HHS
- R01 CA074386 NCI NIH HHS
- R01 CA176568 NCI NIH HHS
- K07 CA172294 NCI NIH HHS
- P50 CA119997 NCI NIH HHS
- G0902313 Medical Research Council
- R01 CA063464 NCI NIH HHS
- P01 CA033619 NCI NIH HHS
- R01 HL133786 NHLBI NIH HHS
- P30 CA177558 NCI NIH HHS
- P50 CA090578 NCI NIH HHS
- U01 HG004798 NHGRI NIH HHS
- R01 CA151989 NCI NIH HHS
- 001 World Health Organization
- 202849/Z/16/Z Wellcome Trust
- UM1 CA167462 NCI NIH HHS
- U01 CA164973 NCI NIH HHS
- This work was supported by National Institutes of Health (NIH) for the research of lung cancer (grant P30CA023108, P20GM103534 and R01LM012012); Trandisciplinary Research in Cancer of the Lung (TRICL) (grant U19CA148127); UICC American Cancer Society Beginning Investigators Fellowship funded by the Union for International Cancer Control (UICC) (to X.Ji). CAPUA study. This work was supported by FIS-FEDER/Spain grant numbers FIS-01/310, FIS-PI03-0365, and FIS-07-BI060604, FICYT/Asturias grant numbers FICYT PB02-67 and FICYT IB09-133, and the University Institute of Oncology (IUOPA), of the University of Oviedo and the Ciber de Epidemiologia y Salud Pública. CIBERESP, SPAIN. The work performed in the CARET study was supported by the The National Institute of Health / National Cancer Institute: UM1 CA167462 (PI: Goodman), National Institute of Health UO1-CA6367307 (PIs Omen, Goodman); National Institute of Health R01 CA111703 (PI Chen), National Institute of Health 5R01 CA151989-01A1(PI Doherty). The Liverpool Lung project is supported by the Roy Castle Lung Cancer Foundation. The Harvard Lung Cancer Study was supported by the NIH (National Cancer Institute) grants CA092824, CA090578, CA074386 The Multiethnic Cohort Study was partially supported by NIH Grants CA164973, CA033619, CA63464 and CA148127 The work performed in MSH-PMH study was supported by The Canadian Cancer Society Research Institute (020214), Ontario Institute of Cancer and Cancer Care Ontario Chair Award to R.J.H. and G.L. and the Alan Brown Chair and Lusi Wong Programs at the Princess Margaret Hospital Foundation. NJLCS was funded by the State Key Program of National Natural Science of China (81230067), the National Key Basic Research Program Grant (2011CB503805), the Major Program of the National Natural Science Foundation of China (81390543). Norway study was supported by Norwegian Cancer Society, Norwegian Research Council The Shanghai Cohort Study (SCS) was supported by National Institutes of Health R01 CA144034 (PI: Yuan) and UM1 CA182876 (PI: Yuan). The Singapore Chinese Health Study (SCHS) was supported by National Institutes of Health R01 CA144034 (PI: Yuan) and UM1 CA182876 (PI: Yuan). The work in TLC study has been supported in part the James & Esther King Biomedical Research Program (09KN-15), National Institutes of Health Specialized Programs of Research Excellence (SPORE) Grant (P50 CA119997), and by a Cancer Center Support Grant (CCSG) at the H. Lee Moffitt Cancer Center and Research Institute, an NCI designated Comprehensive Cancer Center (grant number P30-CA76292) The Vanderbilt Lung Cancer Study – BioVU dataset used for the analyses described was obtained from Vanderbilt University Medical Center’s BioVU, which is supported by institutional funding, the 1S10RR025141-01 instrumentation award, and by the Vanderbilt CTSA grant UL1TR000445 from NCATS/NIH. Dr. Aldrich was supported by NIH/National Cancer Institute K07CA172294 (PI: Aldrich) and Dr. Bush was supported by NHGRI/NIH U01HG004798 (PI: Crawford). The Copenhagen General Population Study (CGPS) was supported by the Chief Physician Johan Boserup and Lise Boserup Fund, the Danish Medical Research Council and Herlev Hospital. The NELCS study: Grant Number P20RR018787 from the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH). The MDACC study was supported in part by grants from the NIH (P50 CA070907, R01 CA176568) (to X. Wu), Cancer Prevention & Research Institute of Texas (RP130502) (to X. Wu), and The University of Texas MD Anderson Cancer Center institutional support for the Center for Translational and Public Health Genomics. The study in Lodz center was partially funded by Nofer Institute of Occupational Medicine, under task NIOM 10.13: Predictors of mortality from non-small cell lung cancer - field study. Kentucky Lung Cancer Research Initiative was supported by the Department of Defense [Congressionally Directed Medical Research Program, U.S. Army Medical Research and Materiel Command Program] under award number: 10153006 (W81XWH-11-1-0781). Views and opinions of, and endorsements by the author(s) do not reflect those of the US Army or the Department of Defense. This research was also supported by unrestricted infrastructure funds from the UK Center for Clinical and Translational Science, NIH grant UL1TR000117 and Markey Cancer Center NCI Cancer Center Support Grant (P30 CA177558) Shared Resource Facilities: Cancer Research Informatics, Biospecimen and Tissue Procurement, and Biostatistics and Bioinformatics. The Resource for the Study of Lung Cancer Epidemiology in North Trent (ReSoLuCENT) study was funded by the Sheffield Hospitals Charity, Sheffield Experimental Cancer Medicine Centre and Weston Park Hospital Cancer Charity. FT was supported by a clinical PhD fellowship funded by the Yorkshire Cancer Research/Cancer Research UK Sheffield Cancer Centre. The authors would like to thank the staff at the Respiratory Health Network Tissue Bank of the FRQS for their valuable assistance with the lung eQTL dataset at Laval University. The lung eQTL study at Laval University was supported by the Fondation de l’Institut universitaire de cardiologie et de pneumologie de Québec, the Respiratory Health Network of the FRQS, the Canadian Institutes of Health Research (MOP - 123369). Y.B. holds a Canada Research Chair in Genomics of Heart and Lung Diseases. The research undertaken by M.D.T., L.V.W. and M.S.A. was partly funded by the National Institute for Health Research (NIHR). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. M.D.T. holds a Medical Research Council Senior Clinical Fellowship (G0902313).
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Affiliation(s)
- Xuemei Ji
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Yohan Bossé
- Department of Molecular Medicine, Laval University, Québec, G1V 4G5, Canada
- Institut universitaire de cardiologie et de pneumologie de Québec, Québec, G1V 4G5, Canada
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Jiang Gui
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Xiangjun Xiao
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - David Qian
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Philippe Joubert
- Institut universitaire de cardiologie et de pneumologie de Québec, Québec, G1V 4G5, Canada
| | - Maxime Lamontagne
- Institut universitaire de cardiologie et de pneumologie de Québec, Québec, G1V 4G5, Canada
| | - Yafang Li
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Ivan Gorlov
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Mariella de Biasi
- Annenberg School of Communication, University of Pennsylvania, Philadelphia, 19104, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, PA, USA
| | - Younghun Han
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Olga Gorlova
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, M5T 3L9, Canada
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, 77030, TX, USA
| | - James McKay
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 CEDEX 08, France
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, M5T 3L9, Canada
| | - Robert Carreras-Torres
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 CEDEX 08, France
| | - David C Christiani
- Department of Environmental Health, Harvard School of Public Health, Boston, 02115, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, 02115, MA, USA
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Mattias Johansson
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 CEDEX 08, France
| | - Geoffrey Liu
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, M5T 3L9, Canada
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Herlev 2730, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200 København N, Denmark
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Ringvej 75, Copenhagen, Herlev 2730, Denmark
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, 96813, HI, USA
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, 37073, Germany
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, 37203, TN, USA
| | - William S Bush
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, 37203, TN, USA
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, 44106, OH, USA
| | - Adonina Tardon
- Faculty of Medicine, University of Oviedo, Oviedo, 33006, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Campus del Cristo s/n, Oviedo, 33006, Spain
| | - Gad Rennert
- Clalit National Cancer Control Center, Carmel Medical Center, Haifa, 34361, Israel
- Faculty of Medicine, Technion, Haifa, 34361, Israel
| | - Chu Chen
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, 98109, WA, USA
| | - M Dawn Teare
- School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK
| | - John K Field
- Roy Castle Lung Cancer Research Programme, Institute of Translational Medicine, University of Liverpool, Liverpool, L69 3BX, UK
| | - Lambertus A Kiemeney
- Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, 6525 EZ, The Netherlands
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, 99210-1495, WA, USA
| | - Aage Haugen
- National Institute of Occupational Health, 0033, Gydas vei 8, 0033, Oslo, Norway
| | - Stephen Lam
- British Columbia Cancer Agency, 675 West 10th Avenue, Vancouver, V5Z1L3, Canada
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, 33612, FL, USA
| | - Angeline S Andrew
- Department of Epidemiology, Geisel School of Medicine, 1 Medical Center Drive, Hanover, 03755, NH, USA
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, 101 Longmian Ave, Nanjing, 211166, PR China
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, 1 Gwanak-ro, Gwanak-gu, Seoul, 151 742, Republic of Korea
| | - Jian-Min Yuan
- University of Pittsburgh Cancer Institute, Pittsburgh, 15232, PA, USA
| | - Pier A Bertazzi
- Department of Preventive Medicine, IRCCS Foundation Ca'Granda Ospedale Maggiore Policlinico, Milan, 20133, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, 20133, Italy
| | - Angela C Pesatori
- Department of Preventive Medicine, IRCCS Foundation Ca'Granda Ospedale Maggiore Policlinico, Milan, 20133, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, 20133, Italy
| | - Yuanqing Ye
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, 77030, TX, USA
| | - Nancy Diao
- Department of Environmental Health, Harvard School of Public Health, Boston, 02115, MA, USA
| | - Li Su
- Department of Environmental Health, Harvard School of Public Health, Boston, 02115, MA, USA
| | - Ruyang Zhang
- Department of Environmental Health, Harvard School of Public Health, Boston, 02115, MA, USA
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, 101 Longmian Ave, Nanjing, 211166, PR China
| | - Yonathan Brhane
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, M5T 3L9, Canada
| | - Natasha Leighl
- University Health Network-The Princess Margaret Cancer Centre, 600 University Avenue, Toronto, M5G 2C4, Canada
| | - Jakob S Johansen
- Department of Oncology, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, 2730, Denmark
| | - Anders Mellemgaard
- Department of Oncology, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, 2730, Denmark
| | - Walid Saliba
- Clalit National Cancer Control Center, Carmel Medical Center, Haifa, 34361, Israel
- Faculty of Medicine, Technion, Haifa, 34361, Israel
| | - Christopher Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, 90033, CA, USA
| | - Lynne Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, 96813, HI, USA
| | - Ana Fernandez-Somoano
- Faculty of Medicine, University of Oviedo, Oviedo, 33006, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Campus del Cristo s/n, Oviedo, 33006, Spain
| | - Guillermo Fernandez-Tardon
- Faculty of Medicine, University of Oviedo, Oviedo, 33006, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Campus del Cristo s/n, Oviedo, 33006, Spain
| | - Erik H F M van der Heijden
- Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, 6525 EZ, The Netherlands
| | - Jin Hee Kim
- Department of Integrative Bioscience & Biotechnology, Sejong University, Gwangjin-gu, Seoul, 05029, Republic of Korea
| | - Juncheng Dai
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, 101 Longmian Ave, Nanjing, 211166, PR China
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, 101 Longmian Ave, Nanjing, 211166, PR China
| | - Michael P A Davies
- Roy Castle Lung Cancer Research Programme, Institute of Translational Medicine, University of Liverpool, Liverpool, L69 3BX, UK
| | - Michael W Marcus
- Roy Castle Lung Cancer Research Programme, Institute of Translational Medicine, University of Liverpool, Liverpool, L69 3BX, UK
| | - Hans Brunnström
- Department of Pathology, Lund University, Lund, 222 41, Sweden
| | - Jonas Manjer
- Faculty of Medicine, Lund University, Lund, 22100, Sweden
| | - Olle Melander
- Faculty of Medicine, Lund University, Lund, 22100, Sweden
| | - David C Muller
- School of Public Health, St Mary's Campus, Imperial College London, London, W2 1PG, UK
| | - Kim Overvad
- Faculty of Medicine, Lund University, Lund, 22100, Sweden
| | | | - Rosario Tumino
- Cancer Registry and Histopathology Department, "Civic-M.P. Arezzo" Hospital, ASP, Ragusa, 97100, Italy
| | - Jennifer Doherty
- Department of Epidemiology, Geisel School of Medicine, 1 Medical Center Drive, Hanover, 03755, NH, USA
- Fred Hutchinson Cancer Research Center, Seattle, 98109-1024, WA, USA
| | - Gary E Goodman
- Fred Hutchinson Cancer Research Center, Seattle, 98109-1024, WA, USA
- Swedish Medical Group, Arnold Pavilion, Suite 200, Seattle, 98104, WA, USA
| | - Angela Cox
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, S10 2RX, UK
| | - Fiona Taylor
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, S10 2RX, UK
| | - Penella Woll
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, S10 2RX, UK
| | - Irene Brüske
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Germany
| | - Judith Manz
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Germany
| | - Thomas Muley
- Thoraxklinik at University Hospital Heidelberg, Heidelberg, 69126, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, 69120, Germany
| | - Angela Risch
- Cancer Cluster Salzburg, University of Salzburg, Salzburg, 5020, Austria
| | - Albert Rosenberger
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, 37073, Germany
| | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, 901 85, Sweden
| | - Mikael Johansson
- Department of Radiation Sciences, Umeå University, Umeå, 901 85, Sweden
| | | | | | - Susanne M Arnold
- Markey Cancer Center, University of Kentucky, First Floor, 800 Rose Street, Lexington, 40508, KY, USA
| | - Eric B Haura
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, 33612, KY, USA
| | - Ciprian Bolca
- Institute of Pneumology "Marius Nasta", Bucharest, RO-050159, Romania
| | - Ivana Holcatova
- 1st Faculty of Medicine, Charles University, Kateřinská 32, Prague, 121 08 Praha 2, Czech Republic
| | - Vladimir Janout
- 1st Faculty of Medicine, Charles University, Kateřinská 32, Prague, 121 08 Praha 2, Czech Republic
| | - Milica Kontic
- Clinical Center of Serbia, Clinic for Pulmonology, School of Medicine, University of Belgrade, Belgrade, 11000, Serbia
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Institute-Oncology Center, Warsaw, 02-781, Poland
| | - Anush Mukeria
- Department of Epidemiology and Prevention, Russian N.N. Blokhin Cancer Research Centre, Moscow, 115478, Russian Federation
| | - Simona Ognjanovic
- International Organization for Cancer Prevention and Research, Belgrade, 11070, Serbia
| | - Tadeusz M Orlowski
- Department of Surgery, National Tuberculosis and Lung Diseases Research Institute, Warsaw, PL-01-138, Poland
| | - Ghislaine Scelo
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 CEDEX 08, France
| | - Beata Swiatkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, 91-348, Poland
| | - David Zaridze
- Department of Epidemiology and Prevention, Russian N.N. Blokhin Cancer Research Centre, Moscow, 115478, Russian Federation
| | - Per Bakke
- Department of Clinical Science, University of Bergen, Bergen, 5021, Norway
| | - Vidar Skaug
- National Institute of Occupational Health, 0033, Gydas vei 8, 0033, Oslo, Norway
| | - Shanbeh Zienolddiny
- National Institute of Occupational Health, 0033, Gydas vei 8, 0033, Oslo, Norway
| | - Eric J Duell
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, 08908, Spain
| | - Lesley M Butler
- University of Pittsburgh Cancer Institute, Pittsburgh, 15232, PA, USA
| | - Woon-Puay Koh
- Duke-NUS Medical School, Singapore, 119077, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549, Singapore
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, 2200, China
| | | | | | | | - David C Nickle
- Department of Genetics and Pharmacogenomics, Merck Research Laboratories, Boston, 02115-5727, MA, USA
| | - Ma'en Obeidat
- Centre for Heart Lung Innovation, St Paul's Hospital, The University of British Columbia, Vancouver, V6Z 1Y6, BC, Canada
| | - Wim Timens
- Department of Pathology and Medical Biology, GRIAC, University of Groningen, University Medical Center Groningen, Groningen, NL - 9713 GZ, The Netherlands
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - María Soler Artigas
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
- Leicester Respiratory Biomedical Research Unit, National Institute for Health Research (NIHR), Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
- Leicester Respiratory Biomedical Research Unit, National Institute for Health Research (NIHR), Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Louise V Wain
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
- Leicester Respiratory Biomedical Research Unit, National Institute for Health Research (NIHR), Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Fangyi Gu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Jinyoung Byun
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Ahsan Kamal
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Dakai Zhu
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Rachel F Tyndale
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, M5S 1A8, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, M5T 1R8, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, M6J 1H4, ON, Canada
| | - Wei-Qi Wei
- Department of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN, 37235, USA
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Paul Brennan
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 CEDEX 08, France
| | - Christopher I Amos
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA.
- The Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, 77030, TX, USA.
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10
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Han XR, Wen X, Wang S, Hong XW, Fan SH, Zhuang J, Wang YJ, Zhang ZF, Li MQ, Hu B, Shan Q, Sun CH, Bao YX, Lin M, He T, Wu DM, Lu J, Zheng YL. Associations of TGFBR1 and TGFBR2 gene polymorphisms with the risk of hypospadias: a case-control study in a Chinese population. Biosci Rep 2017; 37:BSR20170713. [PMID: 28894026 PMCID: PMC5629700 DOI: 10.1042/bsr20170713] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Revised: 09/04/2017] [Accepted: 09/06/2017] [Indexed: 02/06/2023] Open
Abstract
This case-control study investigated the association of transforming growth factor-β (TGF-β) receptor type I and II (TGFBR1 and TGFBR2) gene polymorphisms with the risk of hypospadias in a Chinese population. One hundred and sixty two patients suffering from hypospadias were enrolled as case group and 165 children who underwent circumcision were recruited as control group. Single nucleotide polymorphisms (SNPs) in TGFBR1 and TGFBR2 genes were selected on the basis of genetic data obtained from HapMap. PCR-restriction fragment length polymorphism (PCR-RFLP) was performed to identify TGFBR1 and TGFBR2 gene polymorphisms and analyze genotype distribution and allele frequency. Logistic regression analysis was conducted to estimate the risk factors for hypospadias. No significant difference was found concerning the genotype and allele frequencies of TGFBR1 rs4743325 polymorphism between the case and control groups. However, genotype and allele frequencies of TGFBR2 rs6785358 in the case group were significantly different in contrast with those in the control group. Patients carrying the G allele of TGFBR2 rs6785358 polymorphism exhibited a higher risk of hypospadias compared with the patients carrying the A allele (P<0.05). The TGFBR2 rs6785358 genotype was found to be significantly related to abnormal pregnancy and preterm birth (both P<0.05). The frequency of TGFBR2 rs6785358 GG genotype exhibited significant differences amongst patients suffering from four different pathological types of hypospadias. Logistic regression analysis revealed that preterm birth, abnormal pregnancy, and TGFBR2 rs6785358 were the independent risk factors for hypospadias. Our study provides evidence that TGFBR2 rs6785358 polymorphism might be associated with the risk of hypospadias.
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Affiliation(s)
- Xin-Rui Han
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
| | - Xin Wen
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
| | - Shan Wang
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
| | - Xiao-Wu Hong
- Department of Immunology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China
| | - Shao-Hua Fan
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
| | - Juan Zhuang
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
- Jiangsu Key Laboratory for Eco-Agricultural Biotechnology around Hongze Lake, School of Life Sciences, Huaiyin Normal University, Huaian 223300, P.R. China
| | - Yong-Jian Wang
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
| | - Zi-Feng Zhang
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
| | - Meng-Qiu Li
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
| | - Bin Hu
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
| | - Qun Shan
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
| | - Chun-Hui Sun
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
| | - Ya-Xing Bao
- Department of Orthopedics, The Affiliated Municipal Hospital of Xuzhou Medical University, Xuzhou 221009, P.R. China
| | - Meng Lin
- Department of Urology Surgery, Peking Union Medical College Hospital, Beijing 100730, P.R. China
| | - Tan He
- Department of Urology Surgery, Peking Union Medical College Hospital, Beijing 100730, P.R. China
| | - Dong-Mei Wu
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
| | - Jun Lu
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
| | - Yuan-Lin Zheng
- Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou 221116, P.R. China
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11
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Tang Z, Zeng Q, Li Y, Zhang X, Suto MJ, Xu B, Yi N. Predicting radiotherapy response for patients with soft tissue sarcoma by developing a molecular signature. Oncol Rep 2017; 38:2814-2824. [PMID: 29048650 PMCID: PMC5780036 DOI: 10.3892/or.2017.5999] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 08/28/2017] [Indexed: 12/31/2022] Open
Abstract
Soft tissue sarcomas are rare and aggressive tumors arising from connective tissues. Adjuvant radiotherapy is a commonly used treatment approach for the majority of sarcomas. We attempted to identify a gene signature that can predict radiosensitive patients who are most likely to have a better treatment response from radiotherapy, compared with disease progression. Using the publicly available data of soft tissue sarcoma from The Cancer Genome Atlas, we developed a cross-validation procedure to identify a predictive gene signature for radiosensitivity. The results showed that the predicted radiosensitive patients who received radiotherapy had significantly improved treatment response. We further provide supportive evidence to validate our sensitivity prediction. Results showed that the predicted radiosensitive patients who received radiotherapy had significantly improved survival than patients who did not. ROC analysis showed that the developed gene signature had a powerful prediction on treatment response. We further found that predicted radiosensitive patients who received radiotherapy had a significantly reduced rate of new tumor events. Finally, we validated our gene signature using a hierarchical cluster analysis, and found that the predicted sensitivities were well-matched with results from the cluster analysis. These results are consistent with our expectation, suggesting that the identified gene signature and radiosensitivity prediction are effective. The genes involved in the signature may provide a molecular basis for prognostic studies and radiotherapy target discovery.
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Affiliation(s)
- Zaixiang Tang
- Department of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu 215123, P.R. China
| | - Qinghua Zeng
- Drug Discovery Division, Southern Research Institute, Birmingham, AL 35294, USA
| | - Yan Li
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Xinyan Zhang
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Mark J Suto
- Drug Discovery Division, Southern Research Institute, Birmingham, AL 35294, USA
| | - Bo Xu
- Drug Discovery Division, Southern Research Institute, Birmingham, AL 35294, USA
| | - Nengjun Yi
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA
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12
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Wu J, Zhang JR, Jiang XQ, Cao XG. Correlation between secreted protein acidic and rich in cysteine protein expression and the prognosis of postoperative patients exhibiting esophageal squamous cell carcinoma. Mol Med Rep 2017; 16:3401-3406. [PMID: 28713937 DOI: 10.3892/mmr.2017.6959] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 04/27/2017] [Indexed: 11/05/2022] Open
Abstract
The aim of the present study was to investigate the association between the expression level of secreted protein acidic and rich in cysteine (SPARC) and the prognosis of postoperative patients with esophageal squamous cell carcinoma (ESCC). The expression level of SPARC was detected in the 89 ESCC tissue cases and 100 healthy esophageal mucosa cases, which served as the controls. Immunohistochemistry and reverse transcription‑polymerase chain reaction (RT‑PCR) were employed to evaluate the SPARC expression in cases with ESCC. RT‑PCR demonstrated that the positive rates of SPARC mRNA expression in ESCC were 71.91% (64/89). The positive rates of normal esophageal mucosa mRNA expression were 15.00% (15/100), which were significantly lower than that in the ESCC tissue samples. The difference was statistically significant (P<0.001). Immunohistochemical staining indicated that the positive expression rate of SPARC protein in the ESCC tissue samples was significantly higher than that in the esophageal mucosa tissue samples (65.17 vs. 8.00%; P<0.001). The expression of SPARC protein was negatively correlated with lymph node metastasis (P<0.05), which was not associated with the pathologic gross morphology, tumor differentiation degree or other clinical features. The survival of patients with ESCC was not associated with the expression level of SPARC protein (P>0.05), but was associated with the tumor location (P<0.05), differentiation (P<0.001) and staging (P<0.05). Thus, SPARC mRNA and protein were highly expressed in ESCC, and negatively correlated with lymph node metastasis, which was not associated with postoperative survival of ESCC patients. Thus, detection of SPARC mRNA and protein expression levels may facilitate early diagnosis and prognosis assessment of ESCC.
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Affiliation(s)
- Jian Wu
- Department of Laboratory Medicine, The First People's Hospital of Yancheng, Yancheng, Jiangsu 224005, P.R. China
| | - Jin-Rong Zhang
- Department of Laboratory Medicine, The People's Hospital of Dafeng, Yancheng, Jiangsu 224100, P.R. China
| | - Xue-Qiu Jiang
- Department of Laboratory Medicine, The People's Hospital of Dafeng, Yancheng, Jiangsu 224100, P.R. China
| | - Xu-Guang Cao
- Department of Laboratory Medicine, The First People's Hospital of Yancheng, Yancheng, Jiangsu 224005, P.R. China
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Yin L, Wang L, Liu XJ, Cheng FC, Shi DH, Cao ZL, Liu WW. Synthesis and bioactivity of novel C2-glycosyl triazole derivatives as acetylcholinesterase inhibitors. HETEROCYCL COMMUN 2017. [DOI: 10.1515/hc-2016-0163] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
AbstractNew C2-glycosyl triazole derivatives 6a–l were synthesized by cyclization of glycosyl acylthiosemicarbazides 5 in refluxing 3 N sodium hydroxide aqueous solution. Substrates 5 were obtained by the reaction of glycosyl isothiocyanate 3 with various hydrazides. The acetylcholinesterase (AChE) inhibitory activities of compounds 6 were tested by Ellman’s method. Compounds that exhibited over 85% inhibition were subsequently evaluated for the IC50 values. Compound 6f possesses the best acetylcholinesterase-inhibition activity with IC50 of 1.46±0.25 μg/mL.
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Affiliation(s)
- Long Yin
- College of Pharmaceutical Sciences, Huaihai Institute of Technology, Lianyungang 222005, P.R. China
| | - Lei Wang
- College of Pharmaceutical Sciences, Huaihai Institute of Technology, Lianyungang 222005, P.R. China
| | - Xiu-Jian Liu
- College of Pharmaceutical Sciences, Huaihai Institute of Technology, Lianyungang 222005, P.R. China
| | - Feng-Chang Cheng
- China University of Mining and Technology, Xuzhou 221116, P.R. China
| | - Da-Hua Shi
- College of Pharmaceutical Sciences, Huaihai Institute of Technology, Lianyungang 222005, P.R. China
- Jiangsu Institute of Marine Resources, Lianyungang 222005, P.R. China
| | - Zhi-Ling Cao
- College of Pharmaceutical Sciences, Huaihai Institute of Technology, Lianyungang 222005, P.R. China
- Jiangsu Institute of Marine Resources, Lianyungang 222005, P.R. China
| | - Wei-Wei Liu
- College of Pharmaceutical Sciences, Huaihai Institute of Technology, Lianyungang 222005, P.R. China
- Jiangsu Institute of Marine Resources, Lianyungang 222005, P.R. China
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Huaihai Institute of Technology, Lianyungang 222005, P.R. China
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14
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Fricke F, Lee J, Michalak M, Warnken U, Hausser I, Suarez-Carmona M, Halama N, Schnölzer M, Kopitz J, Gebert J. TGFBR2-dependent alterations of exosomal cargo and functions in DNA mismatch repair-deficient HCT116 colorectal cancer cells. Cell Commun Signal 2017; 15:14. [PMID: 28376875 PMCID: PMC5379773 DOI: 10.1186/s12964-017-0169-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 03/21/2017] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Colorectal cancers (CRCs) that lack DNA mismatch repair function exhibit the microsatellite unstable (MSI) phenotype and are characterized by the accumulation of frameshift mutations at short repetitive DNA sequences (microsatellites). These tumors recurrently show inactivating frameshift mutations in the tumor suppressor Transforming Growth Factor Beta Receptor Type 2 (TGFBR2) thereby abrogating downstream signaling. How altered TGFBR2 signaling affects exosome-mediated communication between MSI tumor cells and their environment has not been resolved. Here, we report on molecular alterations of exosomes shed by MSI cells and the biological response evoked in recipient cells. METHODS Exosomes were isolated and characterized by electron microscopy, nanoparticle tracking, and western blot analysis. TGFBR2-dependent effects on the cargo and functions of exosomes were studied in a MSI CRC model cell line enabling reconstituted and inducible TGFBR2 expression and signaling. Microsatellite frameshift mutations in exosomal and cellular DNA were examined by PCR-based DNA fragment analysis and exosomal protein profiles were identified by mass spectrometry. Uptake of fluorescent-labeled exosomes by hepatoma recipient cells was monitored by confocal microscopy. TGFBR2-dependent exosomal effects on secreted cytokine levels of recipient cells were analyzed by Luminex technology and ELISA. RESULTS Frameshift mutation patterns in microsatellite stretches of TGFBR2 and other MSI target genes were found to be reflected in the cargo of MSI CRC-derived exosomes. At the proteome level, reconstituted TGFBR2 expression and signaling uncovered two protein subsets exclusively occurring in exosomes derived from TGFBR2-deficient (14 proteins) or TGFBR2-proficient (five proteins) MSI donor cells. Uptake of these exosomes by recipient cells caused increased secretion (2-6 fold) of specific cytokines (Interleukin-4, Stem Cell Factor, Platelet-derived Growth Factor-B), depending on the TGFBR2 expression status of the tumor cell. CONCLUSION Our results indicate that the coding MSI phenotype of DNA mismatch repair-deficient CRC cells is maintained in their exosomal DNA. Moreover, we uncovered that a recurrent MSI tumor driver mutation like TGFBR2 can reprogram the protein content of MSI cell-derived exosomes and in turn modulate the cytokine secretion profile of recipient cells. Apart from its diagnostic potential, these TGFBR2-dependent exosomal molecular and proteomic signatures might help to understand the signaling routes used by MSI tumors. Fricke et al. uncovered coding microsatellite instability-associated mutations of colorectal tumor driver genes like TGFBR2 in MSI tumor cellderived exosomes. Depending on the TGFBR2 expression status of their donor cells, shed exosomes show distinct proteomic signatures and promote altered cytokine secretion profiles in recipient cells.
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Affiliation(s)
- Fabia Fricke
- Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, 69120 Heidelberg, Germany
- Department of Cancer Early Detection, German Cancer Research Centre (DKFZ), Im Neuenheimer Feld 224, 69120 Heidelberg, Germany
| | - Jennifer Lee
- Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, 69120 Heidelberg, Germany
- Department of Cancer Early Detection, German Cancer Research Centre (DKFZ), Im Neuenheimer Feld 224, 69120 Heidelberg, Germany
- Present address: Tissue Genesis, Suite 1000, Tissue Genesis Tower, 810 Richards Street, Honolulu, HI 96813 USA
| | - Malwina Michalak
- Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, 69120 Heidelberg, Germany
- Department of Cancer Early Detection, German Cancer Research Centre (DKFZ), Im Neuenheimer Feld 224, 69120 Heidelberg, Germany
| | - Uwe Warnken
- Functional Proteome Analysis and Core Facility Protein Analysis (B100), German Cancer Research Centre (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - Ingrid Hausser
- Department of General Pathology, Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, 69120 Heidelberg, Germany
| | - Meggy Suarez-Carmona
- Department of Medical Oncology, National Center for Tumor diseases (NCT), Tissue Imaging and Analysis Center, Bioquant, University Hospital Heidelberg, Im Neuenheimer Feld 460, 69120 Heidelberg, Germany
| | - Niels Halama
- Department of Medical Oncology, National Center for Tumor diseases (NCT), Tissue Imaging and Analysis Center, Bioquant, University Hospital Heidelberg, Im Neuenheimer Feld 460, 69120 Heidelberg, Germany
| | - Martina Schnölzer
- Functional Proteome Analysis and Core Facility Protein Analysis (B100), German Cancer Research Centre (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - Jürgen Kopitz
- Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, 69120 Heidelberg, Germany
- Department of Cancer Early Detection, German Cancer Research Centre (DKFZ), Im Neuenheimer Feld 224, 69120 Heidelberg, Germany
| | - Johannes Gebert
- Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, 69120 Heidelberg, Germany
- Department of Cancer Early Detection, German Cancer Research Centre (DKFZ), Im Neuenheimer Feld 224, 69120 Heidelberg, Germany
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