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Zhu J, Ye Y, Zhao X, Wu M, Wang X, Shu P, Liu J, Zhang X. Comprehensive prognostic assessment in kidney cancer: A multidimensional approach analyzing Fufang Sanling granules, genetic variants, and immune infiltration. ENVIRONMENTAL TOXICOLOGY 2024; 39:3694-3709. [PMID: 38511791 DOI: 10.1002/tox.24225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 02/22/2024] [Accepted: 03/04/2024] [Indexed: 03/22/2024]
Abstract
This study delves into the potential therapeutic benefits of Fufang Sanling Granules for kidney cancer, focusing on their active components and the underlying mechanisms of their interaction with cancer-related targets. By constructing a drug-active component-target network based on eight herbs, key active compounds such as kaempferol, quercetin, and linolenic acid were identified, suggesting their pivotal roles in modulating immune responses and cellular signaling pathways relevant to cancer progression. The research further identified 51 central drug-disease genes through comprehensive bioinformatics analyses, implicating their involvement in crucial biological processes and pathways. A novel risk score model, encompassing six genes with significant prognostic value for renal cancer, was established and validated, showcasing its effectiveness in predicting patient outcomes through mutation analysis and survival studies. The model's predictive power was further confirmed by its ability to stratify patients into distinct risk groups with significant survival differences, highlighting its potential as a prognostic tool. Additionally, the study explored the relationship between gene expression within the identified black module and the risk score, uncovering significant associations with the extracellular matrix and immune infiltration patterns. This reveals the complex interplay between the tumor microenvironment and cancer progression. The integration of the risk score with clinical parameters through a nomogram significantly improved the model's predictive accuracy, offering a more comprehensive tool for predicting kidney cancer prognosis. In summary, by combining detailed molecular analyses with clinical insights, this study presents a robust framework for understanding the therapeutic potential of Fufang Sanling Granules in kidney cancer. It not only sheds light on the active components and their interactions with cancer-related genes but also introduces a reliable risk score model, paving the way for personalized treatment strategies and improved patient management in the future.
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Affiliation(s)
- Junlan Zhu
- The Precision Medicine Laboratory, Beilun People's Hospital, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China
| | - Yun Ye
- Department of Pharmacy, Beilun People's Hospital, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China
| | - Xin Zhao
- Department of Pharmacy, Beilun People's Hospital, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China
| | - Meiling Wu
- Department of Pharmacy, Beilun People's Hospital, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China
| | - Xuyao Wang
- The Precision Medicine Laboratory, Beilun People's Hospital, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China
| | - Peng Shu
- The Precision Medicine Laboratory, Beilun People's Hospital, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China
| | - Jian Liu
- The Precision Medicine Laboratory, Beilun People's Hospital, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China
| | - Xingguo Zhang
- Department of Pharmacy, Beilun People's Hospital, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China
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Stajnko A, Palir N, Snoj Tratnik J, Mazej D, Sešek Briški A, Runkel AA, Horvat M, Falnoga I. Genetic susceptibility to low-level lead exposure in men: Insights from ALAD polymorphisms. Int J Hyg Environ Health 2024; 256:114315. [PMID: 38168581 DOI: 10.1016/j.ijheh.2023.114315] [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: 08/30/2023] [Revised: 12/20/2023] [Accepted: 12/21/2023] [Indexed: 01/05/2024]
Abstract
The genetic susceptibility to low-level lead (Pb) exposure in general populations has been poorly investigated and is limited to the single nucleotide polymorphism (SNP) rs1800435 in the delta-aminolevulinic acid dehydratase gene (ALAD). This study explored associations between ten selected ALAD SNPs with Pb concentrations in blood (BPb) and urine (UPb) among 281 men aged 18-49 years from Slovenia, including 20 individuals residing in a Pb-contaminated area. The geometric mean (range) of BPb and UPb were 19.6 (3.86-84.7) μg/L and 0.69 (0.09-3.82) μg/L SG, respectively. The possible genetic influence was assessed by examining SNP haplotypes, individual SNPs, and the combination of two SNPs using multiple linear regression analyses. While no significant associations were found for haplotypes, the presence of variant alleles of rs1800435 and rs1805312 resulted in an 11% and 13% decrease in BPb, respectively, while the presence of variant allele of rs1139488 (homozygous only) exhibited significant 20% increase in BPb, respectively. Additionally, variant allele of rs1800435 resulted in lower UPb. Individual SNPs in the model explained only around 1 additional percentage point of BPb variability. In contrast, combination analyses identified six combinations of two SNPs, which significantly explained 3-22 additional percentage points of BPb variability, with the highest explanatory power observed for the rs1800435-rs1139488 and rs1139488-rs1805313 combinations. Moreover, excluding participants from the Pb-contaminated area indicated that exposure level influenced SNPs-Pb associations. Our results confirm the importance of the ALAD gene in Pb kinetics even at low exposure levels. Additionally, we demonstrated that identifying individuals with specific combinations of ALAD SNPs explained a larger part of Pb variability, suggesting that these combinations, pending confirmation in other populations and further evaluation through mechanistic studies, may serve as superior susceptibility biomarker in Pb exposure compared to individual SNPs.
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Affiliation(s)
- Anja Stajnko
- Department of Environmental Sciences, Jožef Stefan Institute, Jamova Cesta 39, 1000, Ljubljana, Slovenia.
| | - Neža Palir
- Department of Environmental Sciences, Jožef Stefan Institute, Jamova Cesta 39, 1000, Ljubljana, Slovenia; Jožef Stefan International Postgraduate School, Jamova Cesta 39, 1000, Ljubljana, Slovenia
| | - Janja Snoj Tratnik
- Department of Environmental Sciences, Jožef Stefan Institute, Jamova Cesta 39, 1000, Ljubljana, Slovenia
| | - Darja Mazej
- Department of Environmental Sciences, Jožef Stefan Institute, Jamova Cesta 39, 1000, Ljubljana, Slovenia
| | - Alenka Sešek Briški
- Institute of Clinical Chemistry and Biochemistry, University Medical Centre Ljubljana, Njegoševa 4, 1000, Ljubljana, Slovenia
| | - Agneta Annika Runkel
- Department of Environmental Sciences, Jožef Stefan Institute, Jamova Cesta 39, 1000, Ljubljana, Slovenia
| | - Milena Horvat
- Department of Environmental Sciences, Jožef Stefan Institute, Jamova Cesta 39, 1000, Ljubljana, Slovenia; Jožef Stefan International Postgraduate School, Jamova Cesta 39, 1000, Ljubljana, Slovenia
| | - Ingrid Falnoga
- Department of Environmental Sciences, Jožef Stefan Institute, Jamova Cesta 39, 1000, Ljubljana, Slovenia
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Turner MC, Cogliano V, Guyton K, Madia F, Straif K, Ward EM, Schubauer-Berigan MK. Research Recommendations for Selected IARC-Classified Agents: Impact and Lessons Learned. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:105001. [PMID: 37902675 PMCID: PMC10615125 DOI: 10.1289/ehp12547] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 09/27/2023] [Accepted: 10/03/2023] [Indexed: 10/31/2023]
Abstract
BACKGROUND The International Agency for Research on Cancer (IARC) Monographs program assembles expert working groups who publish a critical review and evaluation of data on agents of interest. These comprehensive reviews provide a unique opportunity to identify research needs to address classification uncertainties. A multidisciplinary expert review and workshop held in 2009 identified research gaps and needs for 20 priority occupational chemicals, metals, dusts, and physical agents, with the goal of stimulating advances in epidemiological studies of cancer and carcinogen mechanisms. Overarching issues were also described. OBJECTIVES In this commentary we review the current status of the evidence for the 20 priority agents identified in 2009. We examine whether identified Research Recommendations for each agent were addressed and their potential impact on resolving classification uncertainties. METHODS We reviewed the IARC classifications of each of the 20 priority agents and identified major new epidemiological and human mechanistic studies published since the last evaluation. Information sources were either the published Monograph for agents that have been reevaluated or, for agents not yet reevaluated, Advisory Group reports and literature searches. Findings are described in view of recent methodological developments in Monographs evidence evaluation processes. DISCUSSION The majority of the 20 priority agents were reevaluated by IARC since 2009. The overall carcinogen classifications of 9 agents advanced, and new cancer sites with either "sufficient" or "limited" evidence of carcinogenicity were also identified for 9 agents. Examination of published findings revealed whether evidence gaps and Research Recommendations have been addressed and highlighted remaining uncertainties. During the past decade, new research addressed a range of the 2009 recommendations and supported updated classifications for priority agents. This supports future efforts to systematically apply findings of Monograph reviews to identify research gaps and priorities relevant to evaluation criteria established in the updated IARC Monograph Preamble. https://doi.org/10.1289/EHP12547.
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Affiliation(s)
- Michelle C. Turner
- Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Vincent Cogliano
- California Environmental Protection Agency Office of Environmental Health Hazard Assessment, Oakland, California, USA
| | - Kathryn Guyton
- National Academies of Sciences, Engineering, and Medicine, Washington, District of Columbia, USA
| | - Federica Madia
- International Agency for Research on Cancer, Lyon, France
| | - Kurt Straif
- Barcelona Institute for Global Health, Barcelona, Spain
- Boston College, Massachusetts, USA
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Cancer mortality and chemical exposure in a retrospective zinc and lead smelter cohort: A 48-year follow-up. Int J Hyg Environ Health 2022; 242:113955. [DOI: 10.1016/j.ijheh.2022.113955] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/09/2022] [Accepted: 03/09/2022] [Indexed: 11/20/2022]
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Hsueh YM, Lin YC, Huang YL, Shiue HS, Pu YS, Huang CY, Chung CJ. Effect of plasma selenium, red blood cell cadmium, total urinary arsenic levels, and eGFR on renal cell carcinoma. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 750:141547. [PMID: 32858293 DOI: 10.1016/j.scitotenv.2020.141547] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 08/04/2020] [Accepted: 08/04/2020] [Indexed: 06/11/2023]
Abstract
High total urinary arsenic concentrations and low estimated glomerular filtration rate (eGFR) increase the risk of renal cell carcinoma (RCC). This study aimed to determine whether other metals or metalloids can affect RCC. A total of 401 patients with RCC and 774 age- and sex-matched controls were recruited between November 2006 and December 2012 in Taiwan. Surgical resection or image-guided biopsy of renal tumors was performed to pathologically verify RCC. High-performance liquid chromatography linked to a hydride generator and atomic absorption spectrometer were used to measure the urinary arsenic species concentrations. Inductively coupled plasma mass spectrometry was used to determine plasma selenium and red blood cell cadmium and lead concentration. Plasma selenium levels were inversely related to RCC, whereas red blood cell cadmium levels were directly related to RCC. The odds ratio (OR) and 95% confidence interval (CI) were 0.14 (95% CI, 0.10-0.20) and 1.33 (95% CI, 1.03-1.72), respectively. A low plasma selenium level tended to interact with high total urinary arsenic levels or with high red blood cell cadmium concentration to increase the OR of RCC. In particular, low eGFR multiplicatively interacted with high red blood cell cadmium concentration to increase the OR of RCC (Pinteraction=0.003). This study was the first to find a significant multiplicative interaction between eGFR and the red blood cell cadmium levels on the increased OR of RCC.
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Affiliation(s)
- Yu-Mei Hsueh
- Department of Family Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Ying-Chin Lin
- Department of Family Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Geriatric Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Ya-Li Huang
- Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Horng-Sheng Shiue
- Department of Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yeong-Shiau Pu
- Department of Urology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chao-Yuan Huang
- Department of Urology, College of Medicine, National Taiwan University, Taipei, Taiwan.
| | - Chi-Jung Chung
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan; Department of Medical Research, China Medical University and Hospital, Taichung, Taiwan.
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Sauvé JF, Friesen MC. Using Decision Rules to Assess Occupational Exposure in Population-Based Studies. Curr Environ Health Rep 2019; 6:148-159. [PMID: 31297745 PMCID: PMC6698417 DOI: 10.1007/s40572-019-00240-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
PURPOSE OF REVIEW Population-based studies increasingly link task-based occupational questionnaire responses collected from subjects to exposure estimates via transparent, programmable decision rules. We reviewed recent applications and methodological developments of rule-based approaches. RECENT FINDINGS Agent-specific decision rules require interviews incorporating work-task-based questions. Some studies have developed rules before the interviews took place, while others developed rules after the interviews were completed. Agreement between rule-based estimates and exposures assigned using job-by-job expert review were generally moderate to good (Kappa = 0.4-0.8). Rules providing quantitative intensity levels using measurement data or that integrate multiple independent exposure sources for the same job represent further advances to improve the characterization of occupational exposures in population studies. Decision rules have provided transparent and reproducible assessments, reduce job-by-job review, and facilitate sensitivity analyses in epidemiologic studies. Future studies should consider the development of decision rules concurrent with the questionnaire design to facilitate occupational exposure assessment efforts.
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Affiliation(s)
- Jean-François Sauvé
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA.
| | - Melissa C Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA
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