PARP1 is crucial in DNA damage repair, chromatin remodeling, and transcriptional regulation. The principle of synthetic lethality has effectively guided the application of PARP inhibitors in treating tumors carrying BRCA1/2 mutations. Meanwhile, PARP inhibitors have exhibited efficacy in BRCA-proficient patients, further highlighting the necessity for a deeper understanding of PARP1 function and its inhibition in cancer therapy. Here, we unveil PIN2/TRF1-interacting telomerase inhibitor 1 (PINX1) as an uncharacterized PARP1-interacting protein that synergizes with PARP inhibitors upon its depletion across various cancer cell lines. Loss of PINX1 compromises DNA damage repair capacity upon etoposide treatment. The vulnerability of PINX1-deficient cells to etoposide and PARP inhibitors could be effectively restored by introducing either a full-length or a mutant form of PINX1 lacking telomerase inhibitory activity. Mechanistically, PINX1 is recruited to DNA lesions through binding to the ZnF3-BRCT domain of PARP1, facilitating the downstream recruitment of the DNA repair factor XRCC1. In the absence of DNA damage, PINX1 constitutively binds to PARP1, promoting PARP1-chromatin association and transcription of specific DNA damage repair proteins, including XRCC1, and transcriptional regulators, including GLIS3. Collectively, our findings identify PINX1 as a multifaceted partner of PARP1, crucial for safeguarding cells against genotoxic stress and emerging as a potential candidate for targeted tumor therapy.

Patients with high ALDH1A3-expressing glioblastoma (ALDH1A3hi GBM) show limited benefit from postoperative chemoradiotherapy. Understanding the mechanisms underlying such resistance in these patients is crucial for the development of new treatments. Here, we show that the interaction between ALDH1A3 and PKM2 enhances the latter\'s tetramerization and promotes lactate accumulation in glioblastoma stem cells (GSCs). By scanning the lactylated proteome in lactate-accumulating GSCs, we show that XRCC1 undergoes lactylation at lysine 247 (K247). Lactylated XRCC1 shows a stronger affinity for importin α, allowing for greater nuclear transposition of XRCC1 and enhanced DNA repair. Through high-throughput screening of a small-molecule library, we show that D34-919 potently disrupts the ALDH1A3-PKM2 interaction, preventing the ALDH1A3-mediated enhancement of PKM2 tetramerization. In vitro and in vivo treatment with D34-919 enhanced chemoradiotherapy-induced apoptosis of GBM cells. Together, our findings show that ALDH1A3-mediated PKM2 tetramerization is a potential therapeutic target to improve the response to chemoradiotherapy in ALDH1A3hi GBM.

In this issue of Cell Metabolism, Li et al. report that the highly expressed aldehyde dehydrogenase 1 family member A3 interacts with pyruvate kinase M2 (PKM2) in glioblastoma cells. Consequently, PKM2 tetramerization and activation promote lactate production, leading to the lactylation and nuclear translocation of XRCC1 for DNA damage repair and therapeutic resistance.

To study the relationships between stromal cell-derived factor-1 (SDF-1ɑ) and renal cell carcinoma (RCC) susceptibility and the presence of single nucleotide polymorphisms in the human X-ray cross-complementary repair gene (XRCC1). Compare SDF-1 based on RCC related data in the TCGA database α, The expression difference of XRCC1 between RCC tissue and normal tissue; Collect 166 newly diagnosed RCC cases and 166 healthy individuals who underwent physical examinations during the same period, and detect genotype using iMLDR method. The results The rs1801157 locus (C:T) of the SDF-1α gene was not significantly associated with the pathohistological type, the rs1799782 locus (G:A) of the XRCC1 gene was associated with the pathohistological type of RCC, and there were interactions between rs1799782 and smoking, alcohol consumption, pesticide exposure, hair dye, and urine holding. The rs1799782 locus of the XRCC1 gene may be a key factor in the pathogenesis and pathological development of RCC. High SDF-1ɑ expression is a protective factor for the overall survival of patients with RCC, and SDF-1ɑ and XRCC1 may be important for the treatment of RCC.

OBJECTIVE: Reportedly, ganoderic acid A (GA-A) increases the sensitivity of hepatocellular carcinoma cells to cisplatin (DDP) chemotherapy. Therefore, this study aims to fathom the influence of GA-A on lung cancer cells.
METHODS: After the construction of A549/DDP cells through exposure to DDP, the effects of GA-A on A549 and A549/DDP cells were revealed by cellular functional assays, western blot and quantitative reverse transcription PCR (qRT-PCR). The DDP-resistant lung cancer tumor was established in vivo, followed by further validation of the mechanism of GA-A.
RESULTS: GA-A suppressed the viability, migration, and invasion while downregulating Beclin and autophagy marker LC3II/LC3I levels and upregulating P62 levels in A549 and A549/DDP cells. These effects were reversed by circFLNA overexpression. Also, GA-A reinforced the sensitivity of A549/DDP cells to DDP, elevated the apoptosis and regulated the circFLNA/miR-486-3p/cytochrome P450 family 1 subfamily A member 1 (CYP1A1)/X-ray repair cross-complementing 1 (XRCC1) axis. The reversal effects of circFLNA overexpression on GA-A-induced viability and apoptosis of A549/DDP cells could all be counteracted in the presence of 3MA. GA-A inhibited lung cancer tumor growth and blocked autophagy.
CONCLUSIONS: GA-A suppresses autophagy by regulating the circFLNA/miR-486-3p/CYP1A1/XRCC1 axis to strengthen the sensitivity of lung cancer cells to DDP.

BACKGROUND: X-ray repair cross complementing 1 (XRCC1) rs1799782 polymorphism is associated with an increased risk of lung cancer (LC). The aim of this study is to analyze the underlying biological mechanisms.
METHODS: Dual luciferase reporter assay was utilized to verify the impact of XRCC1 polymorphism upon promoter activity of XRCC1. Cell counting kit-8 (CCK-8) assay, colony formation assay, senescence-associated beta-galactosidase (SA-β-gal) staining, and immunofluorescent staining were used to assess the viability, proliferation, senescence, and DNA damage of LC cells. Senescence-related proteins (cyclin dependent kinase inhibitor 1A (P21) and eukaryotic translation elongation factor 1-alpha (EF1A)) were quantified by Western blot. Chromatin immunoprecipitation was applied to validate the binding affinity of forkhead box A1 (FOXA1) and XRCC1. FOXA1-specific short hairpin RNA (shFOXA1) was used to perform the rescue assay.
RESULTS: In LC cells, XRCC1 rs1799782 promoted viability and proliferation, inhibited senescence, and resulted in upregulation of EF1A as well as downregulation of P21 and phosphorylated H2A.X variant histone (γH2AX). XRCC1 rs1799782 promoted FOXA1-mediated transcription of XRCC1 through enhancing its binding to FOXA1. shFOXA1 counteracted the effects of XRCC1 rs1799782 upon the viability, proliferation, and senescence of LC cells.
CONCLUSIONS: XRCC1 rs1799782 promotes DNA damage repair in LC cells through enhancing its binding to FOXA1, which facilitates FOXA1-mediated transcription of XRCC1.

BACKGROUND: Chemoradiotherapy is a critical treatment for patients with locally advanced and unresectable non-small cell lung cancer (NSCLC), and it is essential to identify high-risk patients as early as possible owing to the high incidence of radiation pneumonitis (RP). Increasing attention is being paid to the effects of endogenous factors for RP. This study aimed to investigate the value of computed tomography (CT)-based radiomics combined with genomics in analyzing the risk of grade ≥ 2 RP in unresectable stage III NSCLC.
METHODS: In this retrospective multi-center observational study, 100 patients with unresectable stage III NSCLC who were treated with chemoradiotherapy were analyzed. Radiomics features of the entire lung were extracted from pre-radiotherapy CT images. The least absolute shrinkage and selection operator algorithm was used for optimal feature selection to calculate the Rad-score for predicting grade ≥ 2 RP. Genomic DNA was extracted from formalin-fixed paraffin-embedded pretreatment biopsy tissues. Univariate and multivariate logistic regression analyses were performed to identify predictors of RP for model development. The area under the receiver operating characteristic curve was used to evaluate the predictive capacity of the model. Statistical comparisons of the area under the curve values between different models were performed using the DeLong test. Calibration and decision curves were used to demonstrate discriminatory and clinical benefit ratios, respectively.
RESULTS: The Rad-score was constructed from nine radiomic features to predict grade ≥ 2 RP. Multivariate analysis demonstrated that histology, Rad-score, and XRCC1 (rs25487) allele mutation were independent high-risk factors correlated with RP. The area under the curve of the integrated model combining clinical factors, radiomics, and genomics was significantly higher than that of any single model (0.827 versus 0.594, 0.738, or 0.641). Calibration and decision curve analyses confirmed the satisfactory clinical feasibility and utility of the nomogram.
CONCLUSIONS: Histology, Rad-score, and XRCC1 (rs25487) allele mutation could predict grade ≥ 2 RP in patients with locally advanced unresectable NSCLC after chemoradiotherapy, and the integrated model combining clinical factors, radiomics, and genomics demonstrated the best predictive efficacy.

X-ray repair cross-complementation group 1 (XRCC1) is a pivotal contributor to base excision repair, and its dysregulation has been implicated in the oncogenicity of various human malignancies. However, a comprehensive pan-cancer analysis investigating the prognostic value, immunological functions, and epigenetic associations of XRCC1 remains lacking. To address this knowledge gap, we conducted a systematic investigation employing bioinformatics techniques across 33 cancer types. Our analysis encompassed XRCC1 expression levels, prognostic and diagnostic implications, epigenetic profiles, immune and molecular subtypes, Tumor Mutation Burden (TMB), Microsatellite Instability (MSI), immune checkpoints, and immune infiltration, leveraging data from TCGA, GTEx, CELL, Human Protein Atlas, Ualcan, and cBioPortal databases. Notably, XRCC1 displayed both positive and negative correlations with prognosis across different tumors. Epigenetic analysis revealed associations between XRCC1 expression and DNA methylation patterns in 10 cancer types, as well as enhanced phosphorylation. Furthermore, XRCC1 expression demonstrated associations with TMB and MSI in the majority of tumors. Interestingly, XRCC1 gene expression exhibited a negative correlation with immune cell infiltration levels, except for a positive correlation with M1 and M2 macrophages and monocytes in most cancers. Additionally, we observed significant correlations between XRCC1 and immune checkpoint gene expression levels. Lastly, our findings implicated XRCC1 in DNA replication and repair processes, shedding light on the precise mechanisms underlying its oncogenic effects. Overall, our study highlights the potential of XRCC1 as a prognostic and immunological pan-cancer biomarker, thereby offering a novel target for tumor immunotherapy.

Radiotherapy can cause kidney injury in patients with cervical cancer. This study aims to investigate the possible molecular mechanisms by which CpG-ODNs (Cytosine phosphate guanine-oligodeoxynucleotides) regulate the PARP1 (poly (ADP-ribose) polymerase 1)/XRCC1 (X-ray repair cross-complementing 1) signaling axis and its impact on radiation kidney injury (RKI) in cervical cancer radiotherapy.
The GSE90627 dataset related to cervical cancer RKI was obtained from the Gene Expression Omnibus (GEO) database. Bioinformatics databases and R software packages were used to analyze the target genes regulated by CpG-ODNs. A mouse model of RKI was established by subjecting C57BL/6JNifdc mice to X-ray irradiation. Serum blood urea nitrogen (BUN) and creatinine levels were measured using an automated biochemical analyzer. Renal tissue morphology was observed through HE staining, while TUNEL staining was performed to detect apoptosis in renal tubular cells. ELISA was conducted to measure levels of oxidative stress-related factors in mouse serum and cell supernatant. An in vitro cell model of RKI was established using X-ray irradiation on HK-2 cells for mechanism validation. RT-qPCR was performed to determine the relative expression of PARP1 mRNA. Cell proliferation activity was assessed using the CCK-8 assay, and Caspase 3 activity was measured in HK-2 cells. Immunofluorescence was used to determine γH2AX expression.
Bioinformatics analysis revealed that the downstream targets regulated by CpG-ODNs in cervical cancer RKI were primarily PARP1 and XRCC1. CpG-ODNs may alleviate RKI by inhibiting DNA damage and oxidative stress levels. This resulted in significantly decreased levels of BUN and creatinine in RKI mice, as well as reduced renal tubular and glomerular damage, lower apoptosis rate, decreased DNA damage index (8-OHdG), and increased levels of antioxidant factors associated with oxidative stress (SOD, CAT, GSH, GPx). Among the CpG-ODNs, CpG-ODN2006 had a more pronounced effect. CpG-ODNs mediated the inhibition of PARP1, thereby suppressing DNA damage and oxidative stress response in vitro in HK-2 cells. Additionally, PARP1 promoted the formation of the PARP1 and XRCC1 complex by recruiting XRCC1, which in turn facilitated DNA damage and oxidative stress response in renal tubular cells. Overexpression of either PARP1 or XRCC1 reversed the inhibitory effects of CpG-ODN2006 on DNA damage and oxidative stress in the HK-2 cell model and RKI mouse model.
CpG-ODNs may mitigate cervical cancer RKI by blocking the activation of the PARP1/XRCC1 signaling axis, inhibiting DNA damage and oxidative stress response in renal tubule epithelial cells.

Thyroid cancer is the most common malignant tumor of the endocrine system, and its incidence is increasing worldwide each year. This study aimed to explore the association between XRCC1, GSTM1, and GSTT1 polymorphisms in the model of thyroid cancer. The experiment was conducted by searching PubMed, Embase, and Web of Science, with the last search performed in March 2022. A total of 12 studies were included in this meta-analysis, with sample sizes ranging from 211 to 1124. The proportion of XRCC1 polymorphisms (rs25489, GG) in thyroid cancer was slightly lower than that of the normal control group, but the difference was not statistically significant (Mean difference=1.13, 95% CI: 0.99-1.28, p=0.08). The proportion of XRCC1 polymorphisms (rs25489, GA) in thyroid cancer was significantly lower than that of the normal control group (Mean difference=1.32, 95% CI: 1.16-1.52, p<0.00001). The proportion of XRCC1 polymorphisms (rs25489, AA) in thyroid cancer was slightly lower than that of the normal control group, but again, the difference was not statistically significant (Mean difference=0.78, 95% CI: 0.61-1.01, p=0.06). Similarly, the proportion of XRCC1 polymorphisms (rs25487, GG) and (rs25487, GA) in thyroid cancer was lower than that of the normal control group, but the differences were not statistically significant (p=0.22 and p=0.49, respectively). In conclusion, this study found that the proportion of XRCC1 polymorphisms (rs25489, AA) in thyroid cancer was lower than that of the normal control group.