Genomic Mutations Research Articles

Open-ended molecular recording of sequential cellular events into DNA.

Genetically encoded DNA recorders noninvasively convert transient biological events into durable mutations in a cell's genome, allowing for the later reconstruction of cellular experiences by DNA sequencing. We present a DNA recorder, peCHYRON, that achieves high-information, durable, and temporally resolved multiplexed recording of multiple cellular signals in mammalian cells. In each step of recording, prime editor, a Cas9-reverse transcriptase fusion protein, inserts a variable triplet DNA sequence alongside a constant propagator sequence that deactivates the previous and activates the next step of insertion. Insertions accumulate sequentially in a unidirectional order, editing can continue indefinitely, and high information is achieved by coexpressing a variety of prime editing guide RNAs (pegRNAs), each harboring unique triplet DNA sequences. We demonstrate that the constitutive expression of pegRNA collections generates insertion patterns for the straightforward reconstruction of cell lineage relationships and that the inducible expression of specific pegRNAs results in the accurate recording of exposures to biological stimuli.

Enhancement mechanism of xanthan gum production in Xanthomonas campestris induced by atmospheric and room-temperature plasma (ARTP) mutagenesis.

Xanthan gum, produced by the aerobic fermentation of carbohydrates by Xanthomonas campestris, is a significant natural and industrial biopolymer known for its exceptional properties. Enhancing the yield of xanthan gum production remains a critical challenge. This study employed atmospheric and room temperature plasma (ARTP) technology to induce mutagenesis in X. campestris, resulting in a high-yielding strain, X20. The X20 mutant exhibited a substantial increase in xanthan gum yield, ranging from 13.3 % to 30.0 % over the starting strain across NaCl concentrations of 0, 6.0, and 8.0 g/L, along with improved viscosity and molecular weight. In the whole genome of X20 mutant, a total of 80 variant sites differing from the reference genome were identified, involving 76 mutated genes. Among these, 19 were missense mutations primarily associated with the two-component system. Transcriptome analysis highlighted their role in enhancing flagellar movement, biofilm formation, and metabolic synthesis, thereby elevating the capability of the mutant strain in xanthan gum production. This study demonstrates the potential of ARTP as an effective tool for microbial mutagenesis breeding, providing theoretical guidance for future studies on the synthesis regulation of xanthan gum and the engineering modification of X. campestris.

Genome editing of an oxalyl-CoA synthetase gene in Lathyrus sativus reveals its role in oxalate metabolism.

Established an Agrobacterium-mediated hairy root transformation system for gene function analysis in Lathyrus sativus. Arabidopsis mutant complementation and genome editing in Lathyrus confirmed role of LsOCS in the oxalate metabolism. Grass pea (Lathyrus sativus) is a resilient legume cultivated for its protein-rich seeds and fodder. However, the presence of a naturally occurring neurotoxin, β-N-oxalyl-L-α,β-diaminopropionic acid (β-ODAP), which causes neurolathyrism, limits its extensive cultivation. This paper reports the in-planta characterization of oxalyl-CoA synthetase (OCS), an enzyme involved in oxalate metabolism and important in the oxalylating step leading to β-ODAP production in Lathyrus. For this, we used complementation experiments in an Arabidopsis OCS mutant. The LsOCS-complemented lines showed oxalate content similar to wild-type levels, and the analysis of seeds by field emission scanning electron microscope (FESEM) showed that the LsOCS-complemented lines were rescued from seed-coat defects found in the mutant seeds. We used genome editing of LsOCS in Lathyrus hairy roots to further characterize LsOCS function. The mutations in LsOCS resulted in the accumulation of oxalate in the hairy roots of Lathyrus, as observed in Arabidopsis mutants, but did not affect the ODAP levels. The hairy root genome editing system could serve as a rapid tool for functional studies of Lathyrus genes and optimizing the agronomic traits.

Continuous evolution of user-defined genes at 1 million times the genomic mutation rate.

When nature evolves a gene over eons at scale, it produces a diversity of homologous sequences with patterns of conservation and change that contain rich structural, functional, and historical information about the gene. However, natural gene diversity accumulates slowly and likely excludes large regions of functional sequence space, limiting the information that is encoded and extractable. We introduce upgraded orthogonal DNA replication (OrthoRep) systems that radically accelerate the evolution of chosen genes under selection in yeast. When applied to a maladapted biosynthetic enzyme, we obtained collections of extensively diverged sequences with patterns that revealed structural and environmental constraints shaping the enzyme's activity. Our upgraded OrthoRep systems should support the discovery of factors influencing gene evolution, uncover previously unknown regions of fitness landscapes, and find broad applications in biomolecular engineering.

Leveraging large-scale Mycobacterium tuberculosis whole genome sequence data to characterise drug-resistant mutations using machine learning and statistical approaches

Tuberculosis disease (TB), caused by Mycobacterium tuberculosis (Mtb), is a major global public health problem, resulting in > 1 million deaths each year. Drug resistance (DR), including the multi-drug form (MDR-TB), is challenging control of the disease. Whilst many DR mutations in the Mtb genome are known, analysis of large datasets generated using whole genome sequencing (WGS) platforms can reveal new variants through the assessment of genotype-phenotype associations. Here, we apply tree-based ensemble methods to a dataset comprised of 35,777 Mtb WGS and phenotypic drug-susceptibility test data across first- and second-line drugs. We compare model performance across models trained using mutations in drug-specific regions and genome-wide variants, and find high predictive ability for both first-line (area under ROC curve (AUC); range 88.3–96.5) and second-line (AUC range 84.1–95.4) drugs. To aggregate information from low-frequency variants, we pool mutations by functional impact and observe large improvements in predictive accuracy (e.g., sensitivity: pyrazinamide + 25%; ethionamide + 10%). We further characterise loss-of-function mutations observed in resistant phenotypes, uncovering putative markers of resistance (e.g., ndh 293dupG, Rv3861 78delC). Finally, we profile the distribution of known DR-associated single nucleotide polymorphisms across discretised minimum inhibitory concentration (MIC) data generated from phenotypic testing (n = 12,066), and identify mutations associated with highly resistant phenotypes (e.g., inhA − 779G > T and 62T > C). Overall, our work demonstrates that applying machine learning to large-scale WGS data is useful for providing insights into predicting Mtb binary drug resistance and MIC phenotypes, thereby potentially assisting diagnosis and treatment decision-making for infection control.

The Risk Genes SIRP5, CMC1, and ASAH1 as Potential Targets for the Diagnosis, Immunotherapy, and Treatment of Colon Adenocarcinoma by Single-Cell and Bulk RNA Sequencing Analysis.

Globally, one of the main causes of cancer-related mortality is Colon Adenocarcinoma (COAD). In this study, a new special Immune Cell Functions (ICF) risk model was constructed using single-cell and bulk RNA sequencing data to develop a new understanding and clinical applications for COAD. The immune function gene sets were downloaded from a literature reference, and the COAD single-cell dataset GSE146771 was downloaded from the Tumour Immune Single Cell Hub database. Using Lasso analysis, a multiple gene signature was made from the enrichment scores of immune function gene sets that were enriched in different ways. Robust validation of the signature was then performed in multiple independent cohorts. After that, we built the model using a 10-fold cross-test and evaluated its independence for clinical usage using a nomogram. We also investigated the connection between signature and immune function, genetic variation, immunotherapy, and the cancer immunological microenvironment. Lastly, we used qPCR and immunohistochemistry to examine the expression of the unreported model genes. To find the regulatory functions of unreported model genes, an EdU assay was employed. First, 20 differentially enriched immune function gene sets were identified. Ten genes can be used as a risk profile to assess the prognosis of colon cancer, according to Lasso regression analysis. Signature performance was stable in both the training cohort and two independent GEO external cohorts, and risk scores were confirmed as independent prognostic factors. At the same time, our risk model continued to be highly predictive across various clinical clusters and clinical characteristics, such as immune checkpoints, tumour genome mutations, and chemotherapeutic drug resistance. Patients in the low-risk group have exhibited a higher chance of benefiting from immunotherapy, according to immunotherapy response research. qPCR and immunohistochemistry analysis have revealed SIRP5 expression as high in COAD tissues, while CMC1 and ASAH1 expression has been found to be low. According to the findings of the functional experiment, SIRP5, CMC1, and ASAH1 may control the ability of CRC cells to proliferate. In this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the prognosis and effectiveness of immunotherapy in patients with COAD. In addition, we have discovered three model genes (SIRP5, CMC1, and ASAH1) that have not been reported before. These genes have the potential to be novel therapeutic targets in Colorectal Cancer (CRC). These findings suggest that this model could be used to evaluate the prognostic risk and identify potential targets for COAD patient treatment.

Copy number variation heterogeneity reveals biological inconsistency in hierarchical cancer classifications

Cancers are heterogeneous diseases with unifying features of abnormal and consuming cell growth, where the deregulation of normal cellular functions is initiated by the accumulation of genomic mutations in cells of - potentially - any organ. At diagnosis malignancies typically present with patterns of somatic genome variants on diverse levels of heterogeneity. Among the different types of genomic alterations, copy number variants (CNV) represent a distinct, near-ubiquitous class of structural variants. Cancer classifications are foundational for patient care and oncology research. Terminologies such as the National Cancer Institute Thesaurus provide large sets of hierarchical cancer classification vocabularies and promote data interoperability and ontology-driven computational analysis. To find out how categorical classifications correspond to genomic observations, we conducted a meta-analysis of inter-sample genomic heterogeneity for classification hierarchies on CNV profiles from 97,142 individual samples across 512 cancer entities, and evaluated recurring CNV signatures across diagnostic subsets. Our results highlight specific biological mechanisms across cancer entities with the potential for improvement of patient stratification and future enhancement of cancer classification systems and provide some indications for cooperative genomic events across distinct clinical entities.

Homologous recombination deficiency score is an independent prognostic factor in esophageal squamous cell carcinoma.

Homologous recombination deficiency (HRD) represents an impairment in the homologous recombination repair (HRR) pathway, crucial for repairing DNA double-strand breaks and contributing to genomic instability in cancer. The HRD score may be a more reliable biomarker than HRR-related gene mutations for identifying patients sensitive to poly(ADP-ribose) polymerase inhibitors. Despite its relevance in various cancers, the HRD score remains underexplored in esophageal squamous cell carcinoma (ESCC). We retrospectively analyzed HRD scores in 96 ESCC patients, examining correlations with clinical characteristics and survival outcomes, and validated our findings using the TCGA dataset. Genomic sequencing utilized a custom superHRD next-generation sequencing panel, and HRD scores were calculated from 54,000 single-nucleotide polymorphisms using Kruskal-Wallis rank-sum tests and two cut-off points for analysis. Higher HRD scores correlated with advanced tumor stages, recurrence, and mutations in TP53 and ABCB1, while APC mutations were linked to lower HRD scores. Patients with high HRD scores had significantly shorter disease-free survival (p = 0.013) and a trend toward shorter overall survival (OS) (p = 0.005), particularly those not receiving adjuvant therapy. Conversely, HRD-high patients undergoing adjuvant therapy showed a trend toward longer OS (p = 0.015). Multivariate analysis identified HRD as an independent prognostic factor (hazard ratio = 2.814 for recurrence, p = 0.015). Validation with the TCGA dataset supported these findings. This study highlights the associations between HRD scores, clinical characteristics, and genomic mutations in ESCC, suggesting HRD as a potential prognostic biomarker. HRD assessment may aid in patient stratification and personalized treatment strategies, warranting further investigation to validate the therapeutic implications of HRD scores in ESCC.

Recent advances in noncoding RNA modifications of gastrointestinal cancer.

Elucidating the mechanisms underlying cancer development and proliferation is important for the development of therapeutic methods for the complete cure of cancer. In particular, the identification of diagnostic markers for early detection and new therapeutic strategies for refractory gastrointestinal cancers are needed. Various abnormal phenomena occur in cancer cells, such as functional changes of proteins, led by genomic mutations, and changes in gene expression due to dysregulation of epigenetic regulation. This is no exception for noncoding RNA (ncRNA), which do not encode proteins. Recent reports have revealed that microRNA (miRNA), long noncoding RNA (lncRNA), and circular RNA (circRNA) are deeply involved in cancer progression. These ncRNAs have attracted attention as gene expression regulatory molecules. Recent advances in technology have made it possible not only to read DNA and RNA sequences but also to study the modification state of each base. In particular, comprehensive analysis of N6-methyladenosine (m6A) has been performed by many research groups, with multiple studies reporting that m6A modifications of specific genes are associated with cancer progression. Based on the above, this review examines how ncRNA modifications are related to cancer progression in gastrointestinal cancers such as colorectal and pancreatic cancer. We also discuss enzyme inhibitors that have been reported to have drug discovery potential targeting m6A modifications. By utilizing the new perspective of ncRNA modification, we may be able to accumulate knowledge on the molecular biology of cancer and contribute to human health through diagnosis and treatment.

The evolutionarily diverged single-stranded DNA-binding proteins SSB1/SSB2 differentially affect the replication, recombination, and mutation of organellar genomes in Arabidopsis thaliana

Single-stranded DNA-binding proteins (SSBs) play essential roles in the replication, recombination, and repair processes of organellar DNA molecules. In Arabidopsis thaliana, SSBs are encoded by a small family of two genes (SSB1 and SSB2). However, the functional divergence of these two SSB copies in plants remains largely unknown, and detailed studies regarding their roles in the replication and recombination of organellar genomes are still incomplete. In this study, phylogenetic, gene structure, and protein motif analyses all suggested that SSB1 and SSB2 probably diverged during the early evolution of seed plants. Based on accurate long-read sequencing results, ssb1, and ssb2 mutants had decreased copy numbers for both mitochondrial DNA (mtDNA) and plastid DNA (ptDNA), accompanied by a slight increase in structural rearrangements mediated by intermediate-sized repeats in mt genome and small-scale variants in both genomes. Our findings provide an important foundation for further investigating the effects of DNA dosage in the regulation of mutation frequencies in plant organellar genomes.

A Novel Mutation of FOXC1 (P136L) in an Axenfeld-Rieger Syndrome Patient With a Systematized Delusion of Jealousy: A Case Report and Literature Review.

The main features of Axenfeld-Rieger Syndrome (ARS) are ocular, auditory, neurological, and morphological brain abnormalities. Mutations in forkhead box protein C1 (FOXC1) are among the responsible genes causing ARS, but neuropsychiatric features have rarely been reported. The case of an ARS patient (a 77-year-old man) with delusions of jealousy and impairment of working memory, in addition to the main clinical features, glaucoma and leukoencephalopathy, is presented. The mutation in the patient's genome was found with whole exome sequencing and in silico analysis using PolyPhen-2 and SIFT. Furthermore, AlphaFold2 and PyMOL were used to predict the protein structure based on the mutation. A novel mutation at the forkhead domain of FOXC1 gene (c.408C>A, p.Phe136Leu) was found and confirmed in the patient's family, and it was predicted to cause protein damage; the SIFT score was 0, meaning deleterious, and the PolyPhen2 result also indicated damaging (score: 0.997). The predicted protein structure based on the novel mutation was different from that of the native structure. In the literature review, 6 of 95 (6.3%) cases showed neuropsychiatric features. Of them, 5 of 6 (83.3%) mutations were located in the forkhead domain. A novel mutation was found in the FOXC1 gene (c.408C>A, p.Phe136Leu), which possibly induces delusions of jealousy and impairment of working memory, as well as features of ARS, by changing the protein structure. Mutations in that domain of the FOXC1 gene may be important not only for ocular abnormalities but also for brain function.

Variations of genomic instability score and BRCA mutations with age in ovarian cancer patients

Variations of genomic instability score and BRCA mutations with age in ovarian cancer patients

Prospectives of developing therapeutic HPV vaccines

Human papillomavirus (HPV) represents one of the most serious global public health problems. Malignant female and male diseases mainly result from persistent HPV infection. Cancer belongs to a high mortality rate disease. It has been established that HPV infection causes about 70% vaginal cancer, 50% male genital cancer, 90% anal cancer and 60% head-and-neck cancer. Annually, a large number of people develop various HPV-caused cancer types, dominated by cervical cancer, one of the most common and aggressive types of cancer that threatens health holding the fourth place among most female common cancer worldwide. According to the World Health Organization (WHO), in 2020, about 600 cases of cervical cancer are recorded daily in different countries. Emergence of cervical cancer is closely related to factors such as long-term (persistent) HPV infection and somatic mutations of the host genome. Although HPV infection can be detected and cured early with highly effective screening methods and surgical procedures, the carcinogenic risk of HPV related diseases constantly increases, which elimination faces certain difficulties, especially in low- and mid-developed countries. The most acceptable solution to this is development and implementation of therapeutic vaccines for prevention and treatment of HPV related diseases. Three licensed HPV vaccines based on L1 type virus-like particles (L1-VLPs) technology are available globally: bivalent (HPV-2), quadrivalent (HPV-4) and nonavalent (HPV-9) vaccines. These vaccines demonstrated effectiveness in reducing HPV-related cervical cancer rate by up to 90% worldwide. However, the therapeutic effect of these vaccines on persistent HPV infection and lesions has not been observed. Therapeutic HPV vaccines candidates targeted Ye6/Ye7 cancer proteins activate cellular immunity that eliminates existing HPV infection. Here we review types, mechanisms of action and clinical effects of therapeutic HPV vaccines, as well as current and future developments in the field for prevention and treatment of HPV related diseases.

Microbe-aided thermophilic composting accelerates manure fermentation.

Aerobic composting is a key strategy to the sustainable use of livestock manure, which is however constrained by the slow kinetics. Microbe-aided thermophilic composting provides an attractive solution to this problem. In this study, we identified key thermophilic bacteria capable of accelerating manure composting based on the deciphering of manure bacterial community evolution in a thermophilic system. High-throughput sequencing showed a significant evolution of manure bacterial community structure with the increasing heating temperature. Firmicutes were substantially enriched by the heating, particularly some known thermotolerant bacterial species, such as Novibacillus thermophiles, Bacillus thermolactis, and Ammoniibacillus agariperforans. Correspondingly, through function prediction, we found bacterial taxa with cellulolytic and xylanolytic activities were significantly higher in the thermophilic process relative to the initial stage. Subsequently, a total of 47 bacteria were isolated in situ and their phylogenetic affiliation and degradation capacity were determined. Three isolates were back inoculated to the manure, resulting in shortened composting process from 5 to 3 days with Germination Index increased up to 134%, and improved compost quality particularly in wheat growth promoting. Comparing to the mesophilic and thermophilic Bacillus, the genomes of the three isolates manifested some features similar to the thermophiles, including smaller genome size and mutation of specific genes that enhance heat tolerance. This study provide robust evidence that microbe-aided thermophilic composting is capable to accelerate manure composting and improve the quality of compost, which represents a new hope to the sustainable use of manure from the meat industry.

Companion Diagnostics (CDx) Based on Molecular Biology Techniques

Molecular profiling based on genomic mutations provides clinically important diagnostic and prognostic information. Companion diagnostic (CDx) testing, which is based on targeted drug therapy, is being applied to a variety of molecular diagnostic techniques (e.g., fluorescent in situ hybridization—FISH; polymerase chain reaction—PCR; and next-generation sequencing—NGS) to diagnose complex etiologies using a minimal number of specimens, replacing immunohistochemical analysis, which may show bias at certain stages. The safety and effectiveness of CDx testing using molecular diagnostic technology in precision medicine is an important factor in determining the treatment outcome and prognosis of patients. Meeting minimum safety and effectiveness performance standards is essential for CDx testing, and a thorough understanding of regulatory considerations is necessary to plan and design the optimal product. In this review, we focus on the diagnostic field of precision medicine and discuss the safety and effectiveness that each molecular diagnostic technology must meet according to CDx testing diversity.

Guiding treatment decisions in renal cell carcinoma: the role of biomarkers and clinical factors.

Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape for metastatic renal cell carcinoma (mRCC), significantly improving overall survival and achieving durable responses. This review is timely due to the increasing number of ICI-based regimens now considered standard care for RCC. There is an urgent need to identify reliable biomarkers that can predict therapeutic responses and resistance, a key challenge in current research. While tumor-specific factors such as pathological characteristics, genomic mutations, and transcriptional profiles have been extensively studied, no definitive predictive biomarker has yet emerged. Additionally, advanced technologies are being explored to address tumor heterogeneity. Recent research has focused on novel areas such as the microbiome, radiomics, and spatial transcriptomics, which show promise as potential biomarkers. The translation of these emerging biomarker findings into clinical practice is essential to improving personalized treatment strategies for RCC. Until reliable biomarkers are clinically available, clinical factors may play a pivotal role in guiding individualized treatment decisions to optimize patient outcomes.

L-tryptophan and copper interactions linked to reduced colibactin genotoxicity in pks+ Escherichia coli.

Colibactin is a small molecule produced by pks+ Enterobacteriaceae that damages DNA, leading to oncogenic mutations in human genomes. Colibactin-producing Escherichia coli (pks+) cells promote tumorigenesis in mouse models of colorectal cancer (CRC) and are elevated in abundance in CRC patient biopsies, making it important to identify the regulatory systems governing colibactin production. Here, we apply a systems biology approach to explore metabolite repression of colibactin production in pks+ E. coli. We identify L-tryptophan as a repressor of colibactin genotoxicity that stimulates the expression of genes to export copper to the periplasm where it can inhibit ClbP, the colibactin-activating peptidase. These results work toward an antibiotic-sparing, prophylactic strategy to inhibit colibactin genotoxicity and its tumorigenic effects in the intestine.

Proteogenomic analysis of air-pollution-associated lung cancer reveals prevention and therapeutic opportunities

Air pollution significantly impacts lung cancer progression, but there is a lack of a comprehensive molecular characterization of clinical samples associated with air pollution. Here, we performed a proteogenomic analysis of lung adenocarcinoma (LUAD) in 169 female never-smokers from the Xuanwei area (XWLC cohort), where coal smoke is the primary contributor to the high lung cancer incidence. Genomic mutation analysis revealed XWLC as a distinct subtype of LUAD separate from cases associated with smoking or endogenous factors. Mutational signature analysis suggested that Benzo[a]pyrene (BaP) is the major risk factor in XWLC. The BaP-induced mutation hotspot, EGFR-G719X, was present in 20% of XWLC which endowed XWLC with elevated MAPK pathway activations and worse outcomes compared to common EGFR mutations. Multi-omics clustering of XWLC identified four clinically relevant subtypes. These subgroups exhibited distinct features in biological processes, genetic alterations, metabolism demands, immune landscape, and radiomic features. Finally, MAD1 and TPRN were identified as novel potential therapeutic targets in XWLC. Our study provides a valuable resource for researchers and clinicians to explore prevention and treatment strategies for air-pollution-associated lung cancers.

Proteogenomic analysis of air-pollution-associated lung cancer reveals prevention and therapeutic opportunities.

Air pollution significantly impacts lung cancer progression, but there is a lack of a comprehensive molecular characterization of clinical samples associated with air pollution. Here, we performed a proteogenomic analysis of lung adenocarcinoma (LUAD) in 169 female never-smokers from the Xuanwei area (XWLC cohort), where coal smoke is the primary contributor to the high lung cancer incidence. Genomic mutation analysis revealed XWLC as a distinct subtype of LUAD separate from cases associated with smoking or endogenous factors. Mutational signature analysis suggested that Benzo[a]pyrene (BaP) is the major risk factor in XWLC. The BaP-induced mutation hotspot, EGFR-G719X, was present in 20% of XWLC which endowed XWLC with elevated MAPK pathway activations and worse outcomes compared to common EGFR mutations. Multi-omics clustering of XWLC identified four clinically relevant subtypes. These subgroups exhibited distinct features in biological processes, genetic alterations, metabolism demands, immune landscape, and radiomic features. Finally, MAD1 and TPRN were identified as novel potential therapeutic targets in XWLC. Our study provides a valuable resource for researchers and clinicians to explore prevention and treatment strategies for air-pollution-associated lung cancers.

Genetic variations in NER pathway gene polymorphisms and Wilms tumor risk: A six-center case-control study in East China.

The nucleotide excision repair (NER) system is one of the main ways to protect organisms from DNA damage caused by endogenous and exogenous carcinogens. NER deficiency increases genome mutations, chromosomal aberrations, and cancer viability. However, the genetic association between Wilms tumor and NER pathway gene polymorphisms needs to be further validated. We assessed the associations between 19 NER gene polymorphisms and Wilms tumor susceptibility in 416 cases and 936 controls from East China via the TaqMan method. We found that xeroderma pigmentosum group D (XPD) rs238406 and rs13181 significantly decreased the risk of Wilms tumor [adjusted odds ratio (OR) = 0.59, 95% confidence interval (CI) = 0.46-0.75, p <.0001; adjusted OR = 0.63, 95% CI = 0.44-0.89, p = .009, respectively]. Furthermore, the rs751402 and rs2296147 polymorphisms in the xeroderma pigmentosum group G (XPG) gene were significantly correlated with an increased risk for Wilms tumor (adjusted OR = 1.47, 95% CI = 1.03-2.09, p = .034; adjusted OR = 2.14, 95% CI = 1.29-3.56, p = .003, respectively). Expression quantitative trait loci (eQTL) analysis revealed that these four polymorphisms may affect the expression of genes that are adjacent to XPD and XPG. Our study provides evidence that XPD and XPG gene polymorphisms are associated with Wilms tumor risk. Nonetheless, these findings should be confirmed in a larger sample size.