BACKGROUND: Homologous recombination plays a vital role in the occurrence and drug resistance of gastric cancer. This study aimed to screen new gastric cancer diagnostic biomarkers in the homologous recombination pathway and then used radiomic features to construct a prediction model of biomarker expression to guide the selection of chemotherapy regimens.
METHODS: Gastric cancer transcriptome data were downloaded from The Cancer Genome Atlas database. Machine learning methods were used to screen for diagnostic biomarkers of gastric cancer and validate them experimentally. Computed Tomography image data of gastric cancer patients and corresponding clinical data were downloaded from The Cancer Imaging Archive and our imaging centre, and then the Computed Tomography images were subjected to feature extraction, and biomarker expression prediction models were constructed to analyze the correlation between the biomarker radiomics scores and clinicopathological features.
RESULTS: We screened RAD51D and XRCC2 in the homologous recombination pathway as biomarkers for gastric cancer diagnosis by machine learning, and the expression of RAD51D and XRCC2 was significantly positively correlated with pathological T stage, N stage, and TNM stage. Homologous recombination pathway blockade inhibits gastric cancer cell proliferation, promotes apoptosis, and reduces the sensitivity of gastric cancer cells to chemotherapeutic drugs. Our predictive RAD51D and XRCC2 expression models were constructed using radiomics features, and all the models had high accuracy. In the external validation cohort, the predictive models still had decent accuracy. Moreover, the radiomics scores of RAD51D and XRCC2 were also significantly positively correlated with the pathologic T, N, and TNM stages.
CONCLUSIONS: The gastric cancer diagnostic biomarkers RAD51D and XRCC2 that we screened can, to a certain extent, reflect the expression status of genes through radiomic characteristics, which is of certain significance in guiding the selection of chemotherapy regimens for gastric cancer patients.

Lung cancer represents one of the most prevalent malignant neoplasms, commanding an alarming incidence and mortality rate globally. Non-small cell lung cancer (NSCLC), constituting approximately 80 %-90 % of all lung cancer cases, is the predominant pathological manifestation of this disease, with a disconcerting 5-year survival rate scarcely reaching 10 %. Extensive prior investigations have elucidated that the aberrant expression of X-ray repair cross-complementing gene 2 (XRCC2), a critical meiotic gene intricately involved in the DNA damage repair process, is intimately associated with tumorigenesis. Nevertheless, the precise roles and underlying mechanistic pathways of XRCC2 in NSCLC remain largely elusive. In the present study, we discerned an overexpression of XRCC2 within NSCLC patient tissues, particularly in high-grade samples, when juxtaposed with normal tissues. Targeted knockdown of XRCC2 notably impeded the proliferation of NSCLC both in vitro and in vivo. Comprehensive RNA sequencing and flow rescue assays unveiled that XRCC2 augments the proliferation of NSCLC cells through the down-regulation of FOS expression. Moreover, the c-Myc gene was definitively identified as an XRCC2 transcriptional factor by means of chromatin immunoprecipitation (ChIP) and luciferase reporter assays, whereby pharmacological attenuation of c-Myc expression, in conjunction with Doxorubicin, synergistically curtailed NSCLC cell growth both in vitro and in vivo. Collectively, our findings proffer critical insights into the novel c-Myc-XRCC2-FOS axis in promoting both proliferation and resistance to Doxorubicin in NSCLC cells, thereby extending a promising avenue for potential new diagnostic strategies and therapeutic interventions in NSCLC.

Esophageal cancer (EC), a prevalent malignancy, has a high incidence and mortality. X-ray repair cross complementing 2 (XRCC2) functions on DNA damage and repair that works the progression of various cancers. Nevertheless, the role and mechanism of XRCC2 remain unknown in EC. The XRCC2 expression was examined by reverse transcription quantitative polymerase chain reaction and western blot. The function of XRCC2 in EC were investigated through cell counting kit-8, colony formation, transwell, flow cytometry, chromatin immunoprecipitation, luciferase, and western blot experiments. Besides, the role of XRCC2 in EC was assessed by western blot and immunohistochemistry experiments after nude mice were injected with EC109 cells and treated with nab-paclitaxel. The XRCC2 expression was upregulated in EC. Knockdown of XRCC2 diminished cell viability, and the number of colonies, migration cells and invasion cells of KYSE150 and EC109 cells. Silencing of XRCC2 diminished the cell viability of both two cells with a lower IC50, whereas boosted the apoptosis rate of both cells with the treatment of albumin-paclitaxel. All these outcomes were reverse with the upregulation of XRCC2 in both two cells. Mechanically, XRCC2 was transcriptionally regulated by specificity protein 1 (SP1), and silencing of SP1 inhibited the cell growth of EC. In vivo, transfection of shXRCC2 with or without albumin-paclitaxel treatment both decreased the tumor size and weight, as well as the expression of XRCC2 and Ki-67 in xenografted mice. XRCC2 transcriptionally regulated by SP2 promoted proliferation, migration, invasion, and chemoresistance of EC cells.

OBJECTIVE: Gastrointestinal (GI) cancer presents a significant worldwide health burden, influenced by a combination of genetic and environmental factors. This study endeavors to explore the combined effects of the XRCC1, XRCC2, XRCC3, and TP53 genes that contribute to the heightened risk of GI cancer, shedding light on their combined influence on cancer susceptibility.
METHODS: A total of 200 histologically confirmed cases of GI cancer and an equal number of controls were selected to examine genetic polymorphisms within the XRCC1, XRCC2, XRCC3, and TP53 genes using the polymerase chain reaction-based restriction fragment length polymorphism (PCR-RFLP). Odds ratios (OR) with 95% confidence intervals (CI) were calculated to assess the association of these polymorphisms with GI cancer susceptibility, with statistical significance (p ≤ 0.05).
RESULTS: Logistic regression analysis confirmed strong evidence of synergistic interactions among specific variant genotypes. Notably, combinations such as heterozygous Arg/Ser+Ser/Ser genotype of TP53 Arg249Ser polymorphism with Arg/Trp+Trp/Trp genotype of XRCC1 Arg194Trp polymorphism (OR=2.64; 95% CI: 1.35-5.18; p=0.004), Arg/Gln+Gln/Gln genotype of XRCC1 at codon 399 (OR=5.04; 95% CI: 2.81-9.05; p=0.0001), Arg/His and His/His genotypes of XRCC2 Arg188His (OR=2.16; 95% CI: 1.06-4.39; p<0.032), and Thr/Met+Met/Met genotype of XRCC3 Thr242Met (OR=3.48; 95% CI: 1.79-6.77; p=0.0002) showed significant associations with GI cancer risk in the study population.
CONCLUSIONS: The findings indicate a notable association between the combined effect of heterozygous variant genotypes of TP53 and variant genotypes of XRCC1, XRCC2, and XRCC3 on GI cancer risk. However, further research with a larger sample size and broad single nucleotide polymorphism (SNP) spectra is necessary to understand the interaction between genetic variations and environmental factors influencing GI cancer susceptibility.

BACKGROUND: By complexing poly (ADP-ribose) (PAR) in reaction to broke strand, PAR polymerase1 (PARP1) acts as the key enzyme participated in DNA repair. However, recent studies suggest that unrepaired DNA breaks results in persistent PARP1 activation, which leads to a progressively reduce in hexokinase1 (HK1) activity and cell death. PARP-1 is TCF-4/β-A novel co activator of gene transactivation induced by catenin may play a role in the development of colorectal cancer. The molecular mechanism of PARP1 remains elusive.
METHODS: 212 colorectal cancer (CRC) patients who had the operation at our hospital were recruited. PARP1 expression was evaluated by immunohistochemistry. Stable CRC cell lines with low or high PARP1 expression were constructed. Survival analysis was computed based on PARP1 expression. The cell proliferation was tested by CCK-8 and Colony formation assay. The interaction of PARP1 and XRCC2 was detected by immunoprecipitation (IP) analysis.
RESULTS: Compared with matching adjacent noncancerous tissue, PARP1 was upregulated in CRC tissue which was correlated with the degree of differentiation, TNM stage, depth of invasion, metastasis, and survival. In addition, after constructing CRC stable cell lines with abnormal expression of PARP1, we found that overexpression of PARP1 promoted proliferation, and demonstrated the interaction between PARP1 and XRCC2 in CRC cells through immunoprecipitation (IP) analysis. Moreover, the inhibitor of XRCC2 can suppress the in vitro proliferation arousing by upregulation of PARP1.
CONCLUSIONS: PARP1 was upregulated in CRC cells and promoted cell proliferation. Furthermore, the expression status of PARP1 was significantly correlated with some clinicopathological features and 5-year survival.

Breast cancer is one of the most common cancers in the world and leading cause of cancer-related death among women. Several studies indicated that Arg188His (rs3218536) polymorphism of X-ray repair cross-complementing 2 (XRCC2) may be associated with breast cancer risk. However, this association remains ambiguous. Thus, we performed a meta-analysis to provide more precise conclusion on this issue. A comprehensive search in PubMed, Google Scholar and ISI Web of Science was performed to select all relevant studies. Odds ratios (OR) with corresponding 95% confidence intervals (CI) were applied to assess the strength of the relationships. A total of 17 studies with 5694 breast cancer cases and 6450 healthy subjects were identified. The pooled data revealed that XRCC2 Arg188His polymorphism was marginally with susceptibility to breast cancer globally under the heterozygote contrast (OR = 0.929, 95% CI = 0.873-0.987, p=0.018). Moreover, subgroup analysis by ethnicity revealed that this polymorphism was associated with breast cancer risk among Caucasians. On the whole, the present study demonstrates that the XRCC2 Arg188His polymorphism may contribute to an increased risk of breast cancer.

BACKGROUND: At present very little information is available on combined effects of DNA repair genes with tumor suppressor gene polymorphisms and their association with cancer susceptibility. No such association studies have been carried out with breast cancer or any other cancer from India. Present study was conducted to study the combined effects of SNPs of XRCC1, XRCC2, XRCC3 with Arg72Pro and Arg249Ser SNPs of TP53 gene in risk of BC in rural parts of India.
METHODS: The polymorphisms of Arg194Trp, Arg280His, Arg399Gln of XRCC1, Arg188His of XRCC2 and Thr241Met of  XRCC3 with Arg72Pro and Arg249Ser of TP53 gene polymorphisms was studied by polymerase chain reaction-based restriction fragment length polymorphism (PCR-RFLP) method. The association among the polymorphisms with breast cancer risk was studied by Odds ratio within 95% confidence interval and SNP-SNP interaction were confirmed by logistic regression analysis.
RESULTS: The results of genotype frequency distribution of XRCC1, XRCC2, XRCC3 genotypes showed positive association between XRCC1 Arg280His polymorphism and BC risk (OR=4.54; 95% CI: 3.36- 6.15; p<0.0001).  Also the heterozygous genotypes Arg188His of XRCC2 (OR=1.58; 95% CI: 1.13- 2.21; p=0.007) and Thr241Met genotype of XRCC3 (OR=2.13; 95% CI: 1.44- 3.13; p=0.0001) were associated with BC risk. The combination of heterozygous Arg280His genotype of XRCC1 along with Arg72Pro genotype of TP53 increased the risk of BC (OR=4.53; 95% CI: 2.85-7.20); p<0.0001). Similarly,  the combined effect of heterozygous Arg/His genotype of XRCC1 with heterozygous Arg/Ser genotype of TP53 at codon 249 showed significant association with increased BC risk (OR=5.08; 95% CI: 2.86-9.04); p<0.0001).
CONCLUSIONS: The findings derived from our study concluded that the heterozygous variant Arg280His genotype of XRCC1 and Thr241Met polymorphism of XRCC3 in combination with heterozygous arginine72proline genotype and heterozygous Arg249Ser polymorphism of TP53 showed significant association with breast cancer risk in Maharashtrian women.

BACKGROUND: The genetic polymorphisms in DNA repair genes and their correlation with normal tissue toxicity in response to radiation therapy has not been consistently proven in many of the studies done in head and neck cancers (HNC). This study was intended to investigate the association of most common single nucleotide polymorphisms of DNA repair genes with acute radiation induced toxicities such as skin reactions and oral mucositis in normal tissue from HNC patients receiving radiotherapy from South-Western Maharashtra.
METHODS: Two hundred HNC patients receiving radiotherapy were enrolled in this study and the radiation injuries in the form of skin reactions and oral mucositis were recorded. Three single nucleotide polymorphisms (SNPs) rs1799782, rs25489) rs25487 of XRCC1 gene, rs3218536in XRCC2 gene and rs861539 SNP of XRCC3 gene were studied by PCR-RFLP and direct DNA sequencing.  Results: The univariate analysis of SNPs of XRCC1, XRCC2 and XRCC3, the obtained results verified that XRCC1 polymorphism at 194Trp of exon 6 (OR=0.69, 95% CI: 0.28-1.71; p=0.433), codon 280 at exon 9 ((OR=1.05, 95% CI: 0.42-2.63; p=0.911) and codon 399 of at exon 10(OR=1.06, 95% CI: 0.52-2.15; p=0.867) and XRCC2 polymorphism at codon 188 at exon 3 (OR=1.07, 95% CI: 0.46-2.47; p=0.866) and 241Met variant genotype of XRCC3 (OR=2.63 95% CI: 0.42-16.30; p=0.298) showed no association with degree of radiotherapy associated dermatitis or mucositis in HNC patients.
CONCLUSIONS: The findings from this study postulated that none of rs1799782, rs25489, rs25487 SNPs of XRCC1, rs3218536 SNP of XRCC2 nor rs861539 SNP of XRCC3 were associated with increased toxicity of radiotherapy in HNC patients of south-western Maharashtra. 
.

Background: DNA repair genes are among the low-penetrance genes implicated in breast cancer. However variants of DNA repair genes may alter their protein function thus leading to carcinogenesis. Breast cancer is the most common cancer among women in India. The aim of the present study was to identify association, if any, of single nucleotide polymorphisms (SNP\'s) in four genes involved in DNA repair pathways including, RAD51 rs1801320, XRCC1 rs25487, XRCC2 rs3218536, and XRCC3 rs861539 with the risk of breast cancer. Materials and Methods: In this case-control study 611 female subjects (311 breast cancer patients and 300 healthy controls) were screened for four SNPs using polymerase chain reaction-restriction fragment length polymorphism analyses. Multifactor dimensionality reduction (MDR) analysis was performed to estimate the gene-gene interaction. Protein-protein interaction network analysis were studied using the STRING database. Results: The GC genotype (p = 0.018) and the combined GC+CC (p = 0.03) genotypes of RAD51 rs1801320 were significantly associated with reduced risk of breast cancer. The CT genotype (p = 0.0001), the combined CT+TT genotypes (p = 0.0002), and the T allele (p = 0.0019) of XRCC3 rs861539 polymorphism were associated with reduced risk of the breast cancer. No association of XRCC1 rs25487 and XRCC2 rs3218536 polymorphisms with breast cancer was observed. MDR analysis indicated a positive interaction between XRCC3 and XRCC2. String network analysis showed that the RAD51, XRCC1, XRCC2, and XRCC3 proteins are in strong interaction with each other and other breast cancer-related proteins such as BRCA2. Conclusion: RAD51 rs1801320 and XRCC3 rs861539 polymorphisms were associated with reduced risk of breast cancer. There is evidence of positive interactions among XRCC1, XRCC2, XRCC3, and RAD51.

OBJECTIVE: To investigate the potential correlation between the Arg188His (rs3218536) polymorphism of X-ray repair cross-complementing 2 (XRCC2) and colorectal cancer (CRC) risk, as the association remains unclear.
METHODS: The CNKI, PubMed, EMBASE and Cochrane library databases were systematically searched for relevant studies published up to July 2021. Data were extracted from included studies, and analysed for pooled or subgroup odds ratios (ORs) with 95% confidence intervals (CIs) using STATA 12.0 software.
RESULTS: Seven published studies were included. Pooled analysis revealed that the XRCC2 Arg188His polymorphism was associated with increased CRC risk (His versus Arg: OR 1.14, 95% CI 1.01, 1.29). Trial Sequential Analysis to test the power of the results showed that they were unreliable and the meta-analysis required additional studies.
CONCLUSIONS: The current meta-analysis suggests that the XRCC2 Arg188His polymorphism may be a risk factor for CRC.