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Cannon-Albright LA, Teerlink CC, Stevens J, Facelli JC, Carr SR, Allen-Brady K, Puri S, Bailey-Wilson JE, Musolf AM, Akerley W. A rare FGF5 candidate variant (rs112475347) for predisposition to nonsquamous, nonsmall-cell lung cancer. Int J Cancer 2023; 153:364-372. [PMID: 36916144 PMCID: PMC10182245 DOI: 10.1002/ijc.34510] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 03/16/2023]
Abstract
A unique approach with rare resources was used to identify candidate variants predisposing to familial nonsquamous nonsmall-cell lung cancers (NSNSCLC). We analyzed sequence data from NSNSCLC-affected cousin pairs belonging to high-risk lung cancer pedigrees identified in a genealogy of Utah linked to statewide cancer records to identify rare, shared candidate predisposition variants. Variants were tested for association with lung cancer risk in UK Biobank. Evidence for linkage with lung cancer was also reviewed in families from the Genetic Epidemiology of Lung Cancer Consortium. Protein prediction modeling compared the mutation with reference. We sequenced NSNSCLC-affected cousin pairs from eight high-risk lung cancer pedigrees and identified 66 rare candidate variants shared in the cousin pairs. One variant in the FGF5 gene also showed significant association with lung cancer in UKBiobank. This variant was observed in 3/163 additional sampled Utah lung cancer cases, 2 of whom were related in another independent pedigree. Modeling of the predicted protein predicted a second binding site for SO4 that may indicate binding differences. This unique study identified multiple candidate predisposition variants for NSNSCLC, including a rare variant in FGF5 that was significantly associated with lung cancer risk and that segregated with lung cancer in the two pedigrees in which it was observed. FGF5 is an oncogenic factor in several human cancers, and the mutation found here (W81C) changes the binding ability of heparan sulfate to FGF5, which might lead to its deregulation. These results support FGF5 as a potential NSNSCLC predisposition gene and present additional candidate predisposition variants.
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Affiliation(s)
- Lisa A Cannon-Albright
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
- Huntsman Cancer Institute, Salt Lake City, Utah, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah, USA
| | - Craig C Teerlink
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah, USA
| | - Jeff Stevens
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Julio C Facelli
- Department of BioMedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA
- Clinical and Translational Science Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Shamus R Carr
- Thoracic Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Kristina Allen-Brady
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Sonam Puri
- Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Medical Oncology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Joan E Bailey-Wilson
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, USA
| | - Anthony M Musolf
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, USA
| | - Wallace Akerley
- Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Medical Oncology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
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Gao M, Li Y, Huang H, Fan Y, Shi R, Su L, Chen C, Li X, Zhu G, Wu D, Cao P, Liu H, Chen J, Kang S. Exploring the Association Between PRC2 Genes Variants and Lung Cancer Risk in Chinese Han Population. Onco Targets Ther 2023; 16:499-513. [PMID: 37425980 PMCID: PMC10328106 DOI: 10.2147/ott.s417190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 06/27/2023] [Indexed: 07/11/2023] Open
Abstract
Background Genetic susceptibilities play a large role in the pathogenesis of lung cancer (LC). The polycomb repressive complex 2 (PRC2) is a conserved chromatin-associated complex that represses gene expression and is crucial for proper organismal development and gene expression patterns. Despite PRC2 dysregulation has been observed in various human cancers, the relationship between PRC2 genes variants and lung cancer risk remains largely unexplored. Methods To investigate the association between single nucleotide polymorphisms (SNPs) in PRC2 genes and the risk of developing LC, we genotyped blood genomic DNA from 270 LC patients and 452 healthy individuals of Chinese Han ethnicity using the TaqMan™ genotyping technique. Results We found that rs17171119T>G(adjusted odds ratio (OR) = 0.662, 95% CI: 0.467-0.938, P < 0.05), rs10898459 T>C(adjusted OR = 0.615, 95% CI: 0.4-0.947, P < 0.05), and rs1136258 C>T(adjusted OR = 0.273, 95% CI: 0.186-0.401, P < 0.001) were significantly associated with a reduced risk of LC. Stratified analysis revealed a protective effect of rs17171119 in both male and female patients, specifically those with lung adenocarcinoma (LUAD). Additionally, rs1391221 showed a protective effect in both the LUAD and lung squamous cell carcinoma (LUSC) groups, while rs1136258 exhibited a protective effect in both females and males, as well as in both LUAD and LUSC groups. Furthermore, analysis of The Cancer Genome Atlas (TCGA) dataset revealed expression levels of EED and RBBP4 in both LUAD and LUSC. Conclusion This study provides evidence that allelic variants in EZH2, EED, and RBBP4 may act as protective factors against LC development and could serve as genetic markers associated with susceptibility to LC.
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Affiliation(s)
- Min Gao
- Department of Thoracic Surgery, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010010, People’s Republic of China
- Inner Mongolia Medical University, Hohhot, 010010, People’s Republic of China
| | - Yongwen Li
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Hua Huang
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
| | - Yaguang Fan
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Ruifeng Shi
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
| | - Lianchun Su
- Department of Thoracic Surgery, First Affiliated Hospital of Shihezi University School of Medicine, Shihezi, People’s Republic of China
| | - Chen Chen
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Xuanguang Li
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
| | - Guangsheng Zhu
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
| | - Di Wu
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
| | - Peijun Cao
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
| | - Hongyu Liu
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Jun Chen
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
- Department of Thoracic Surgery, First Affiliated Hospital of Shihezi University School of Medicine, Shihezi, People’s Republic of China
| | - Shirong Kang
- Department of Thoracic Surgery, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010010, People’s Republic of China
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Mitchem JB, Miller A, Manjunath Y, Barbirou M, Raju M, Shen Y, Li G, Avella DM, Chaudhuri AA, Shyu CR, Warren WC, Tonellato PJ, Kaifi JT. Somatic mutation variant analysis in rural, resectable non-small cell lung carcinoma patients. Cancer Genet 2022; 268-269:75-82. [PMID: 36191390 DOI: 10.1016/j.cancergen.2022.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 06/30/2022] [Accepted: 09/19/2022] [Indexed: 01/25/2023]
Abstract
Rural non-small cell lung cancer (NSCLC) patients do worse, largely related to lack of access to care. In this study, the mutational characteristics and potential for targeted therapy in rural, resectable NSCLC patients using whole exome sequencing (WES) were analyzed. WES was performed on tumor-adjacent normal pairs from rural patients undergoing resection for NSCLC. Sequencing alignment, variant-calling, annotation, and tumor mutational burden (TMB) calculations were performed using standard methods. cBioportal and OncoKB were used for comparisons of mutational frequencies and actionable targets. Thirty-four NSCLC patients underwent WES after surgical resection. The gene most frequently containing somatic variants was TP53. The median number of somatic variants was 188 (Range 11-1056), and median TMB was 3.30 (0.33-18.56) nonsynonymous mutations per Mb. Tumor stage and survival were not associated with number of variants, TMB or TP53 mutational status. Significant concordance among the most common mutations when cross-referenced to cBioportal (R = 0.78, p < 0.0001) was observed. 24% of patients had variants in actionable genes based on OncoKB annotation. In summary, we demonstrate baseline mutational frequency and establish foundations for targeted adjuvant trials in rural NSCLC patients with specific differences. Future studies must ensure to include rural patients to improve NSCLC patient outcomes.
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Affiliation(s)
- Jonathan B Mitchem
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA; Harry S. Truman Memorial Veterans' Hospital, Columbia, MO, USA; Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA; Center for Biomedical Informatics, University of Missouri School of Medicine, Columbia, MO, USA; Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA.
| | - Amanda Miller
- Center for Biomedical Informatics, University of Missouri School of Medicine, Columbia, MO, USA
| | - Yariswamy Manjunath
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA; Harry S. Truman Memorial Veterans' Hospital, Columbia, MO, USA
| | - Mouadh Barbirou
- Center for Biomedical Informatics, University of Missouri School of Medicine, Columbia, MO, USA
| | - Murugesan Raju
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
| | - Yuanyuan Shen
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
| | - Guangfu Li
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA; Harry S. Truman Memorial Veterans' Hospital, Columbia, MO, USA
| | - Diego M Avella
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA
| | - Aadel A Chaudhuri
- Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA; Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Chi-Ren Shyu
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
| | - Wesley C Warren
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA; Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA; Center for Biomedical Informatics, University of Missouri School of Medicine, Columbia, MO, USA
| | - Peter J Tonellato
- Center for Biomedical Informatics, University of Missouri School of Medicine, Columbia, MO, USA
| | - Jussuf T Kaifi
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA; Harry S. Truman Memorial Veterans' Hospital, Columbia, MO, USA; Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA; Center for Biomedical Informatics, University of Missouri School of Medicine, Columbia, MO, USA; Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA.
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Wei J, Deng W, Weng J, Li M, Lan G, Li X, Ye L, Wang Y, Liu F, Ou H, Wei Y, Huang W, Xie S, Dong G, Qu S. Epithelial-mesenchymal transition classification of circulating tumor cells predicts clinical outcomes in progressive nasopharyngeal carcinoma. Front Oncol 2022; 12:988458. [PMID: 36212389 PMCID: PMC9532596 DOI: 10.3389/fonc.2022.988458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 08/23/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundLiquid biopsy facilitates the enrichment and isolation of circulating tumor cells (CTCs) in various human cancers, including nasopharyngeal carcinoma (NPC). Characterizing CTCs allows observation of the evolutionary process of single tumor cells undergoing blood-borne dissemination, such as epithelial-mesenchymal transition. However, the prognostic value of phenotypic classification of CTCs in predicting the clinical outcomes of NPC remains poorly understood.Patients and methodsA total of 92 patients who met the inclusion criteria were enrolled in the present study. The CanPatrol™ CTC technology platform was employed to isolate CTCs, and an RNA in situ hybridization-based system was used for phenotypic classification. Kaplan–Meier survival curves were used for univariate survival analysis, and the log-rank test was performed for between-group comparisons of the survival curves.ResultsCTCs were detected in 88.0% (81/92) of the enrolled patients with NPC. The total CTC number did not vary between the T and N stages or between Epstein–Barr virus DNA-positive and -negative cases. The numbers of total CTCs and epithelial/mesenchymal (E/M) hybrid CTCs decreased significantly at 3 months post concurrent chemoradiotherapy (P=0.008 and P=0.023, respectively), whereas the numbers of epithelial or mesenchymal CTCs did not decrease. E/M hybrid-predominant cases had lower disease-free survival (P=0.043) and distant metastasis-free survival (P=0.046) rates than non-E/M hybrid-predominant cases.ConclusionCTC classification enables a better understanding of the cellular phenotypic alterations responsible for locoregional invasion and distant metastasis in NPC. E/M hybrid-predominant CTC distribution predicts unfavorable clinical outcomes in patients with progressive NPC.
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Affiliation(s)
- Jiazhang Wei
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- Institute of Oncology, Guangxi Academy of Medical Sciences, Nanning, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Ministry of Education/Guangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Nanning, China
| | - Weiming Deng
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Jingjin Weng
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Min Li
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Guiping Lan
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Xiang Li
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Linsong Ye
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Yongli Wang
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Fei Liu
- Research Center of Medical Sciences, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Huashuang Ou
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Yunzhong Wei
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Wenlin Huang
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Sifang Xie
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Guohu Dong
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Shenhong Qu
- Department of Otolaryngology & Head and Neck, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- Institute of Oncology, Guangxi Academy of Medical Sciences, Nanning, China
- *Correspondence: Shenhong Qu,
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Wang Y, Lei H, Li X, Zhou W, Wang G, Sun A, Wang Y, Wu Y, Peng B. Lung Cancer-Specific Mortality Risk and Public Health Insurance: A Prospective Cohort Study in Chongqing, Southwest China. Front Public Health 2022; 10:842844. [PMID: 35570974 PMCID: PMC9099244 DOI: 10.3389/fpubh.2022.842844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 04/06/2022] [Indexed: 12/24/2022] Open
Abstract
Objective The incidence and mortality of lung cancer rank first among malignant tumors, and its long treatment cycle will bring serious economic burdens to lung cancer patients and their families. There are few studies on the prognosis of lung cancer and insurance policies. This article explores the relationship between the lung cancer-specific death and public health insurance, self-paying rate, and the joint effect of public health insurance and self-paying rate. Materials and Methods A prospective longitudinal cohort study was conducted in Chongqing, China from 2013 to 2019. The selected subjects were patients with C33–C34 coded according to the tenth edition of the International Classification of Diseases (ICD-10), aged 20 years or older. We conduct a subgroup analysis based on public health insurance types and self-paying rates. After following the inclusion and exclusion criteria, the chi-square test was used to describe the demographic and clinical characteristics of patients with different insurance types and different self-paying rates. Multivariate logistic regression was used to analyze the relationship between patients with different insurance types, self-paying rates, and lung cancer treatment methods. Finally, the Cox proportional hazard model and the competitive risk model are used to calculate the cumulative hazard ratio of all-cause death and lung cancer-specific death for different insurance types and different self-paying rate groups. Results A total of 12,464 patients with lung cancer were included in this study. During the follow-up period (median 13 months, interquartile range 5.6–25.2 months), 5,803 deaths were observed, of which 3,781 died of lung cancer. Compared with patients who received urban resident-based basic medical insurance (URBMI), patients who received urban employee-based basic medical insurance (UEBMI) had a 38.1% higher risk of lung cancer-specific death (Hazard Ratios (HRs) = 1.381, 95% confidence interval (CI): 1.293–1.476, P < 0.005), Compared with patients with insufficient self-paying rate, patients with a higher self-paying rate had a 40.2% lower risk of lung cancer-specific death (HRs = 0.598, 95% CI: 0.557–0.643, P < 0.005). Every 10% increase in self-paying rate of URBMI reduces the risk of lung cancer-specific death by 17.6%, while every 10% increase in self-paying rate of UEBMI reduces the risk of lung cancer-specific death by 18.0%. Conclusions The National Medical Security Administration should, under the condition of limited medical insurance funds, try to include the original self-paid anti-tumor drugs into the national medical insurance coverage. This can not only reduce the mortality rate of lung cancer patients, but also reduce the family burden of lung cancer patients. On the other hand, high-risk groups should increase their awareness of lung cancer screening and actively participate in the national cancer screening project led by the state.
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Affiliation(s)
- Yuqi Wang
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Haike Lei
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China
| | - Xiaosheng Li
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China
| | - Wei Zhou
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China
| | - Guixue Wang
- MOE Key Lab for Biorheological Science and Technology, State and Local Joint Engineering Laboratory for Vascular Implants, College of Bioengineering Chongqing University, Chongqing, China
| | - Anlong Sun
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China
| | - Ying Wang
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China
- *Correspondence: Ying Wang
| | - Yongzhong Wu
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China
- Yongzhong Wu
| | - Bin Peng
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China
- Bin Peng
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Sepúlveda V, Maurelia F, González M, Aguayo J, Caprile T. SCO-spondin, a giant matricellular protein that regulates cerebrospinal fluid activity. Fluids Barriers CNS 2021; 18:45. [PMID: 34600566 PMCID: PMC8487547 DOI: 10.1186/s12987-021-00277-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 09/11/2021] [Indexed: 12/28/2022] Open
Abstract
Cerebrospinal fluid is a clear fluid that occupies the ventricular and subarachnoid spaces within and around the brain and spinal cord. Cerebrospinal fluid is a dynamic signaling milieu that transports nutrients, waste materials and neuroactive substances that are crucial for the development, homeostasis and functionality of the central nervous system. The mechanisms that enable cerebrospinal fluid to simultaneously exert these homeostatic/dynamic functions are not fully understood. SCO-spondin is a large glycoprotein secreted since the early stages of development into the cerebrospinal fluid. Its domain architecture resembles a combination of a matricellular protein and the ligand-binding region of LDL receptor family. The matricellular proteins are a group of extracellular proteins with the capacity to interact with different molecules, such as growth factors, cytokines and cellular receptors; enabling the integration of information to modulate various physiological and pathological processes. In the same way, the LDL receptor family interacts with many ligands, including β-amyloid peptide and different growth factors. The domains similarity suggests that SCO-spondin is a matricellular protein enabled to bind, modulate, and transport different cerebrospinal fluid molecules. SCO-spondin can be found soluble or polymerized into a dynamic threadlike structure called the Reissner fiber, which extends from the diencephalon to the caudal tip of the spinal cord. Reissner fiber continuously moves caudally as new SCO-spondin molecules are added at the cephalic end and are disaggregated at the caudal end. This movement, like a conveyor belt, allows the transport of the bound molecules, thereby increasing their lifespan and action radius. The binding of SCO-spondin to some relevant molecules has already been reported; however, in this review we suggest more than 30 possible binding partners, including peptide β-amyloid and several growth factors. This new perspective characterizes SCO-spondin as a regulator of cerebrospinal fluid activity, explaining its high evolutionary conservation, its apparent multifunctionality, and the lethality or severe malformations, such as hydrocephalus and curved body axis, of knockout embryos. Understanding the regulation and identifying binding partners of SCO-spondin are crucial for better comprehension of cerebrospinal fluid physiology.
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Affiliation(s)
- Vania Sepúlveda
- Departamento de Biología Celular, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
| | - Felipe Maurelia
- Departamento de Biología Celular, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
| | - Maryori González
- Departamento de Biología Celular, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
| | - Jaime Aguayo
- Departamento de Biología Celular, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
| | - Teresa Caprile
- Departamento de Biología Celular, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile.
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Rammal S, Kourie HR, Jalkh N, Mehawej C, Chouery E, Moujaess E, Dabar G. Molecular pathogenesis of hereditary lung cancer: a literature review. Pharmacogenomics 2021; 22:791-803. [PMID: 34410147 DOI: 10.2217/pgs-2020-0150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Among all cancer types, pulmonary cancer has the highest mortality rate. Tobacco consumption remains the major risk factor for the development of lung cancer. However, many studies revealed a correlation between inherited genetic variants and predisposition to lung cancer, especially in nonsmokers. To date, genetic testing for the detection of germline mutations is not yet recommended in patients with lung cancer and testing is focused on somatic alterations given their implication in the treatment choice. Understanding the impact of genetic predisposition on the occurrence of lung cancer is essential to enable the introduction of accurate guidelines and recommendations that might reduce mortality. In this review paper, we describe familial lung cancer, and expose germline mutations that are linked to this type of cancer. We also report pathogenic genetic variants linked to syndromes associated with lung cancer.
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Affiliation(s)
- Souraya Rammal
- Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon
| | - Hampig Raphael Kourie
- Hematology-Oncology Department, Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon
| | - Nadine Jalkh
- Medical Genetics Unit, Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon
| | - Cybel Mehawej
- Medical Genetics Unit, Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon
| | - Eliane Chouery
- Medical Genetics Unit, Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon
| | - Elissar Moujaess
- Hematology-Oncology Department, Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon
| | - Georges Dabar
- Pulmonary & Critical Care Division, Hotel Dieu de France, Saint Joseph University of Beirut, Beirut, Lebanon
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Liu Y, Xia J, McKay J, Tsavachidis S, Xiao X, Spitz MR, Cheng C, Byun J, Hong W, Li Y, Zhu D, Song Z, Rosenberg SM, Scheurer ME, Kheradmand F, Pikielny CW, Lusk CM, Schwartz AG, Wistuba II, Cho MH, Silverman EK, Bailey-Wilson J, Pinney SM, Anderson M, Kupert E, Gaba C, Mandal D, You M, de Andrade M, Yang P, Liloglou T, Davies MPA, Lissowska J, Swiatkowska B, Zaridze D, Mukeria A, Janout V, Holcatova I, Mates D, Stojsic J, Scelo G, Brennan P, Liu G, Field JK, Hung RJ, Christiani DC, Amos CI. Rare deleterious germline variants and risk of lung cancer. NPJ Precis Oncol 2021; 5:12. [PMID: 33594163 PMCID: PMC7887261 DOI: 10.1038/s41698-021-00146-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 12/11/2020] [Indexed: 01/19/2023] Open
Abstract
Recent studies suggest that rare variants exhibit stronger effect sizes and might play a crucial role in the etiology of lung cancers (LC). Whole exome plus targeted sequencing of germline DNA was performed on 1045 LC cases and 885 controls in the discovery set. To unveil the inherited causal variants, we focused on rare and predicted deleterious variants and small indels enriched in cases or controls. Promising candidates were further validated in a series of 26,803 LCs and 555,107 controls. During discovery, we identified 25 rare deleterious variants associated with LC susceptibility, including 13 reported in ClinVar. Of the five validated candidates, we discovered two pathogenic variants in known LC susceptibility loci, ATM p.V2716A (Odds Ratio [OR] 19.55, 95%CI 5.04-75.6) and MPZL2 p.I24M frameshift deletion (OR 3.88, 95%CI 1.71-8.8); and three in novel LC susceptibility genes, POMC c.*28delT at 3' UTR (OR 4.33, 95%CI 2.03-9.24), STAU2 p.N364M frameshift deletion (OR 4.48, 95%CI 1.73-11.55), and MLNR p.Q334V frameshift deletion (OR 2.69, 95%CI 1.33-5.43). The potential cancer-promoting role of selected candidate genes and variants was further supported by endogenous DNA damage assays. Our analyses led to the identification of new rare deleterious variants with LC susceptibility. However, in-depth mechanistic studies are still needed to evaluate the pathogenic effects of these specific alleles.
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Affiliation(s)
- Yanhong Liu
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Jun Xia
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - James McKay
- International Agency for Research on Cancer, Lyon, France
| | - Spiridon Tsavachidis
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Xiangjun Xiao
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Margaret R Spitz
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Chao Cheng
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Jinyoung Byun
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Wei Hong
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Yafang Li
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Dakai Zhu
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Zhuoyi Song
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Susan M Rosenberg
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Michael E Scheurer
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Farrah Kheradmand
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA
| | - Claudio W Pikielny
- Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
| | - Christine M Lusk
- Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA
| | - Ann G Schwartz
- Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Susan M Pinney
- University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | - Elena Kupert
- University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Colette Gaba
- The University of Toledo College of Medicine, Toledo, OH, USA
| | - Diptasri Mandal
- Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - Ming You
- Medical College of Wisconsin, Milwaukee, WI, USA
| | | | - Ping Yang
- Mayo Clinic College of Medicine, Scottsdale, AZ, USA
| | - Triantafillos Liloglou
- Roy Castle Lung Cancer Research Programme, The University of Liverpool, Department of Molecular and Clinical Cancer Medicine, Liverpool, UK
| | - Michael P A Davies
- Roy Castle Lung Cancer Research Programme, The University of Liverpool, Department of Molecular and Clinical Cancer Medicine, Liverpool, UK
| | - Jolanta Lissowska
- M. Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Beata Swiatkowska
- Nofer Institute of Occupational Medicine, Department of Environmental Epidemiology, Lodz, Poland
| | - David Zaridze
- Russian N.N. Blokhin Cancer Research Centre, Moscow, Russian Federation
| | - Anush Mukeria
- Russian N.N. Blokhin Cancer Research Centre, Moscow, Russian Federation
| | - Vladimir Janout
- Faculty of Health Sciences, Palacky University, Olomouc, Czech Republic
| | - Ivana Holcatova
- Institute of Public Health and Preventive Medicine, Charles University, 2nd Faculty of Medicine, Prague, Czech Republic
| | - Dana Mates
- National Institute of Public Health, Bucharest, Romania
| | - Jelena Stojsic
- Department of Thoracopulmonary Pathology, Service of Pathology, Clinical Center of Serbia, Belgrade, Serbia
| | | | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Geoffrey Liu
- Princess Margaret Cancer Center, Toronto, ON, Canada
| | - John K Field
- Roy Castle Lung Cancer Research Programme, The University of Liverpool, Department of Molecular and Clinical Cancer Medicine, Liverpool, UK
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | | | - Christopher I Amos
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
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Dual Role of the PTPN13 Tyrosine Phosphatase in Cancer. Biomolecules 2020; 10:biom10121659. [PMID: 33322542 PMCID: PMC7763032 DOI: 10.3390/biom10121659] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/07/2020] [Accepted: 12/09/2020] [Indexed: 02/08/2023] Open
Abstract
In this review article, we present the current knowledge on PTPN13, a class I non-receptor protein tyrosine phosphatase identified in 1994. We focus particularly on its role in cancer, where PTPN13 acts as an oncogenic protein and also a tumor suppressor. To try to understand these apparent contradictory functions, we discuss PTPN13 implication in the FAS and oncogenic tyrosine kinase signaling pathways and in the associated biological activities, as well as its post-transcriptional and epigenetic regulation. Then, we describe PTPN13 clinical significance as a prognostic marker in different cancer types and its impact on anti-cancer treatment sensitivity. Finally, we present future research axes following recent findings on its role in cell junction regulation that implicate PTPN13 in cell death and cell migration, two major hallmarks of tumor formation and progression.
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