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Porta M, Pumarega J, Amaral AFS, Genkinger JM, Camargo J, Mucci L, Alguacil J, Gasull M, Zhang X, Morales E, Iglesias M, Ogino S, Engel LS. Influence of KRAS mutations, persistent organic pollutants, and trace elements on survival from pancreatic ductal adenocarcinoma. ENVIRONMENTAL RESEARCH 2020; 190:109781. [PMID: 32791343 PMCID: PMC7689512 DOI: 10.1016/j.envres.2020.109781] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 05/02/2020] [Accepted: 06/02/2020] [Indexed: 05/09/2023]
Abstract
INTRODUCTION Reasons why pancreatic ductal adenocarcinoma (PDAC) continues to have poor survival are only partly known. No previous studies have analyzed the combined influence of KRAS mutations, persistent organic pollutants (POPs), and trace elements upon survival in PDAC or in any other human cancer. OBJECTIVE To analyze the individual and combined influence of KRAS mutations, POPs, and trace elements upon survival from PDAC. METHODS Incident cases of PDAC (n = 185) were prospectively identified in five hospitals in Eastern Spain in 1992-1995 and interviewed face-to-face during hospital admission. KRAS mutational status was determined from tumour tissue through polymerase chain reaction and artificial restriction fragment length polymorphism. Blood and toenail samples were obtained before treatment. Serum concentrations of POPs were analyzed by high-resolution gas chromatography with electron-capture detection. Concentrations of 12 trace elements were determined in toenail samples by inductively coupled plasma mass spectrometry. Multivariable Cox proportional hazards regression was used to assess prognostic associations. RESULTS Patients with a KRAS mutated tumor had a 70% higher risk of early death than patients with a KRAS wild-type PDAC (hazard ratio [HR] = 1.7, p = 0.026), adjusting for age, sex, and tumor stage. KRAS mutational status was only modestly and not statistically significantly associated with survival when further adjusting by treatment or by treatment intention. The beneficial effects of treatment remained unaltered when KRAS mutational status was taken into account, and treatment did not appear to be less effective in the subgroup of patients with a KRAS mutated tumor. POPs did not materially influence survival: the adjusted HR of the highest POP tertiles was near unity for all POPs. When considering the joint effect on survival of POPs and KRAS, patients with KRAS mutated tumors had modest and nonsignificant HRs (most HRs around 1.3 to 1.4). Higher concentrations of lead, cadmium, arsenic, vanadium, and aluminium were associated with better survival. When KRAS status, POPs, and trace elements were simultaneously considered along with treatment, only the latter was statistically significantly related to survival. CONCLUSIONS In this study based on molecular, clinical, and environmental epidemiology, KRAS mutational status, POPs, and trace elements were not adversely related to PDAC survival when treatment was simultaneously considered; only treatment was independently related to survival. The lack of adverse prognostic effects of POPs and metals measured at the time of diagnosis provide scientific and clinical reassurance on the effects of such exposures upon survival of patients with PDAC. The weak association with KRAS mutations contributes to the scant knowledge on the clinical implications of a genetic alteration highly frequent in PDAC.
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Affiliation(s)
- Miquel Porta
- School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain.
| | - José Pumarega
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - André F S Amaral
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Jeanine M Genkinger
- Department of Epidemiology, Columbia University, New York, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, USA
| | - Judit Camargo
- School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Lorelei Mucci
- Harvard Medical School, Harvard T. H. Chan School of Public Health, Brigham and Women's Hospital, Boston, USA
| | - Juan Alguacil
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Universidad de Huelva, Huelva, Spain
| | - Magda Gasull
- School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Xuehong Zhang
- Harvard Medical School, Harvard T. H. Chan School of Public Health, Brigham and Women's Hospital, Boston, USA
| | - Eva Morales
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; IMIB-Arrixaca, Department of Public Health Sciences, University of Murcia
| | - Mar Iglesias
- School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Shuji Ogino
- Harvard Medical School, Harvard T. H. Chan School of Public Health, Brigham and Women's Hospital, Boston, USA
| | - Lawrence S Engel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, USA
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Gómez-Tomás Á, Pumarega J, Alguacil J, Amaral AF, Malats N, Pallarès N, Gasull M, Porta M. Concentrations of trace elements and KRAS mutations in pancreatic ductal adenocarcinoma. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2019; 60:693-703. [PMID: 31066938 PMCID: PMC6786909 DOI: 10.1002/em.22296] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 04/10/2019] [Accepted: 04/26/2019] [Indexed: 05/04/2023]
Abstract
Trace elements are a possible risk factor for pancreatic ductal adenocarcinoma (PDAC). However, their role in the occurrence and persistence of KRAS mutations remains unstudied. There appear to be no studies analyzing biomarkers of trace elements and KRAS mutations in any human cancer. We aimed to determine whether patients with KRAS mutated and nonmutated tumors exhibit differences in concentrations of trace elements. Incident cases of PDAC were prospectively identified in five hospitals in Spain. KRAS mutational status was determined through polymerase chain reaction from tumor tissue. Concentrations of 12 trace elements were determined in toenail samples by inductively coupled plasma mass spectrometry. Concentrations of trace elements were compared in 78 PDAC cases and 416 hospital-based controls (case-control analyses), and between 17 KRAS wild-type tumors and 61 KRAS mutated tumors (case-case analyses). Higher levels of iron, arsenic, and vanadium were associated with a statistically nonsignificant increased risk of a KRAS wild-type PDAC (OR for higher tertile of arsenic = 3.37, 95% CI 0.98-11.57). Lower levels of nickel and manganese were associated with a statistically significant higher risk of a KRAS mutated PDAC (OR for manganese = 0.34, 95% CI 0.14-0.80). Higher levels of selenium appeared protective for both mutated and KRAS wild-type PDAC. Higher levels of cadmium and lead were clear risk factors for both KRAS mutated and wild-type cases. This is the first study analyzing biomarkers of trace elements and KRAS mutations in any human cancer. Concentrations of trace elements differed markedly between PDAC cases with and without mutations in codon 12 of the KRAS oncogene, thus suggesting a role for trace elements in pancreatic and perhaps other cancers with such mutations. Environ. Mol. Mutagen., 60:693-703, 2019. © 2019 Wiley Periodicals, Inc.
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Affiliation(s)
- Álvaro Gómez-Tomás
- School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - José Pumarega
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Juan Alguacil
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Universidad de Huelva, Huelva, Spain
| | - André F.S. Amaral
- Population Health and Occupational Disease, National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Natàlia Pallarès
- School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Magda Gasull
- School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Miquel Porta
- School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
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Yu M, Hong W, Ruan S, Guan R, Tu L, Huang B, Hou B, Jian Z, Ma L, Jin H. Genome-Wide Profiling of Prognostic Alternative Splicing Pattern in Pancreatic Cancer. Front Oncol 2019; 9:773. [PMID: 31552163 PMCID: PMC6736558 DOI: 10.3389/fonc.2019.00773] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 07/31/2019] [Indexed: 12/21/2022] Open
Abstract
Alternative splicing (AS) has a critical role in tumor progression and prognosis. Our study aimed to investigate pancreatic cancer-specific AS events using RNA-seq data, gaining systematic insights into potential prognostic predictors. We downloaded 10,623 genes with 45,313 pancreatic cancer-specific AS events from the Cancer Genome Atlas (TCGA) and SpliceSeq database. Cox univariate analyses of overall survival suggested there was a remarkable association between 6,711 AS events and overall survival in pancreatic cancer patients (P < 0.05). The area under the curves (AUC) of the receiver operator characteristic curves (ROC) of risk score was 0.89 for final prognostic predictor. Results indicated that AS events of DAZAP1, RBM4, ESRP1, QKI, and SF1 were significantly associated with overall survival. The results of FunRich showed that transcription factors KLF7, GABPA, and SP1 were the most highly related to survival-associated AS genes. Furthermore, using DriverDBv2, we identified 13 driver genes associated with survival-associated AS events, including TP53 and CDC27. Thus, we concluded that the aberrant AS patterns in pancreatic cancer patients might serve as prognostic predictors.
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Affiliation(s)
- Min Yu
- Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- *Correspondence: Min Yu
| | - Weifeng Hong
- Department of Medical Imaging, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China
| | - Shiye Ruan
- Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Renguo Guan
- Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Lei Tu
- Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Bowen Huang
- Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Baohua Hou
- Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhixiang Jian
- Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Liheng Ma
- Department of Medical Imaging, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China
| | - Haosheng Jin
- Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Haosheng Jin
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Wang YX, Liu JX, Gao YL, Zheng CH, Shang JL. Differentially expressed genes selection via Laplacian regularized low-rank representation method. Comput Biol Chem 2016; 65:185-192. [PMID: 27693191 DOI: 10.1016/j.compbiolchem.2016.09.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 09/22/2016] [Accepted: 09/22/2016] [Indexed: 10/20/2022]
Abstract
With the rapid development of DNA microarray technology and next-generation technology, a large number of genomic data were generated. So how to extract more differentially expressed genes from genomic data has become a matter of urgency. Because Low-Rank Representation (LRR) has the high performance in studying low-dimensional subspace structures, it has attracted a chunk of attention in recent years. However, it does not take into consideration the intrinsic geometric structures in data. In this paper, a new method named Laplacian regularized Low-Rank Representation (LLRR) has been proposed and applied on genomic data, which introduces graph regularization into LRR. By taking full advantages of the graph regularization, LLRR method can capture the intrinsic non-linear geometric information among the data. The LLRR method can decomposes the observation matrix of genomic data into a low rank matrix and a sparse matrix through solving an optimization problem. Because the significant genes can be considered as sparse signals, the differentially expressed genes are viewed as the sparse perturbation signals. Therefore, the differentially expressed genes can be selected according to the sparse matrix. Finally, we use the GO tool to analyze the selected genes and compare the P-values with other methods. The results on the simulation data and two real genomic data illustrate that this method outperforms some other methods: in differentially expressed gene selection.
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Affiliation(s)
- Ya-Xuan Wang
- School of Information Science and Engineering, Qufu Normal University, Rizhao, 276826, China.
| | - Jin-Xing Liu
- School of Information Science and Engineering, Qufu Normal University, Rizhao, 276826, China.
| | - Ying-Lian Gao
- Library of Qufu Normal University, Qufu Normal University, Rizhao, 276826, China.
| | - Chun-Hou Zheng
- School of Information Science and Engineering, Qufu Normal University, Rizhao, 276826, China.
| | - Jun-Liang Shang
- School of Information Science and Engineering, Qufu Normal University, Rizhao, 276826, China.
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Li T, Zheng Y, Sun H, Zhuang R, Liu J, Liu T, Cai W. K-Ras mutation detection in liquid biopsy and tumor tissue as prognostic biomarker in patients with pancreatic cancer: a systematic review with meta-analysis. Med Oncol 2016; 33:61. [PMID: 27225938 DOI: 10.1007/s12032-016-0777-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Accepted: 05/14/2016] [Indexed: 01/06/2023]
Abstract
K-Ras gene mutations have been found in most pancreatic cancers; however, conflicting data on the prognostic value of K-Ras mutations in pancreatic cancer have been published. We conducted a meta-analysis to assess its prognostic significance. Literature searches of PubMed, EMBASE, Cochrane Library, Web of Science and Google Scholar were performed through December 2015 to identify publications exploring the association of K-Ras mutation with overall survival. Forty eligible studies involving 3427 patients with pancreatic cancer were included in the present meta-analysis. Our analysis showed a hazard ratio (HR) of negative association with survival of 1.61 [95 % confidence interval (CI) 1.36-1.90; p < 0.01] in K-Ras mutant pancreatic cancer patients. In subgroup analyses, K-Ras mutations detected in tumor tissues and in liquid biopsies had HRs of 1.37 (95 % CI 1.20-1.57; p < 0.01) and 3.16 (95 % CI 2.1-4.71; p < 0.01), respectively. In addition, the HR was higher when K-Ras mutations were detected in fresh frozen samples (HR = 2.01, 95 % CI 1.28-3.16, p = 0.002) than in formalin-fixed, paraffin-embedded (FFPE) samples (HR = 1.29, 95 % CI 1.12-1.49, p < 0.01). Though K-Ras alterations are more frequent among non-East Asian individuals than East Asian individuals, there were no significant differences in HRs of survival between the two ethnic subgroups. In conclusion, this meta-analysis suggests that K-Ras mutations are associated with a worse overall survival in pancreatic cancer patients, especially when mutations are detected in liquid biopsies or fresh frozen tumor tissue samples.
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Affiliation(s)
- Tao Li
- Department of Clinical Pharmacy, School of Pharmacy, Fudan University, Shanghai, China
| | - Yuanting Zheng
- Department of Clinical Pharmacy, School of Pharmacy, Fudan University, Shanghai, China
| | - Hong Sun
- Department of Clinical Pharmacy, School of Pharmacy, Fudan University, Shanghai, China
| | - Rongyuan Zhuang
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jing Liu
- Department of Clinical Pharmacy, School of Pharmacy, Fudan University, Shanghai, China
| | - Tianshu Liu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Weimin Cai
- Department of Clinical Pharmacy, School of Pharmacy, Fudan University, Shanghai, China.
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