Platinum-based chemotherapy toxicity is always one of the serious problems from which lung cancer patients suffer. The genetic polymorphism of WISP1 was revealed to be associated with susceptibility and platinum-based chemotherapy response in our previous studies. In this study, we aimed to investigate the relationship of WISP1 genetic polymorphisms with platinum-based chemotherapy toxicity in lung cancer patients. A total of 412 lung cancer patients were enrolled in this study, and 28 polymorphisms of the WISP1 gene were genotyped by SequenomMassARRAY. We found that WISP1 polymorphisms (rs2929965, rs2929969, rs2929970, rs2929973 and rs754958) were related to the overall chemotherapy toxicity of lung cancer in subgroup analyses. Rs16904853, rs2929970, rs2977549 and rs2977551 (p = 0.021, 0.028, 0.024, 0.048, respectively) polymorphisms were significantly associated with hematologic toxicity. Rs2929946, rs2929970, rs2977519, rs2977536, rs3739262 and rs754958 (p = 0.031, 0.046, 0.029, 0.016, 0.042, 0.035, respectively) polymorphisms were significantly associated with the gastrointestinal toxicity of lung cancer. Genotypes of WISP1 may be novel and useful biomarkers for predicting platinum-based chemotherapy toxicity in lung cancer patients.

Background Metabolomics has the characteristics of terminal effects and reflects the physiological state of biological diseases more directly. Several current biomarkers of multiple omics were revealed to be associated with immune-related adverse events (irAEs) occurrence. However, there is a lack of reliable metabolic biomarkers to predict irAEs. This study aims to explore the potential metabolic biomarkers to predict risk of irAEs and to investigate the association of plasma metabolites level with survival in patients with lung cancer receiving PD-1/PD-L1 inhibitor treatment. Methods The study collected 170 plasmas of 85 patients with lung cancer who received immune checkpoint inhibitors (ICIs) treatment. 58 plasma samples of 29 patients with irAEs were collected before ICIs treatment and at the onset of irAEs. 112 plasma samples of 56 patients who did not develop irAEs were collected before ICIs treatment and plasma matched by treatment cycles to onset of irAEs patients. Untargeted metabolomics analysis was used to identify the differential metabolites before initiating ICIs treatment and during the process that development of irAEs. Kaplan-Meier curves analysis was used to detect the associations of plasma metabolites level with survival of patients with lung cancer. Results A total of 24 differential metabolites were identified to predict the occurrence of irAEs. Baseline acylcarnitines and steroids levels are significantly higher in patients with irAEs, and the model of eight acylcarnitine and six steroid metabolites baseline level predicts irAEs occurrence with area under the curve of 0.91. Patients with lower concentration of baseline decenoylcarnitine(AcCa(10:1) 2, decenoylcarnitine(AcCa(10:1) 3 and hexanoylcarnitine(AcCa(6:0) in plasma would have better overall survival (OS). Moreover, 52 differential metabolites were identified related to irAEs during ICIs treatment, dehydroepiandrosterone sulfate, corticoserone, cortisol, thyroxine and sphinganine 1-phaosphate were significantly decreased in irAEs group while oxoglutaric acid and taurocholic acid were significantly increased in irAEs group. Conclusions High levels of acylcarnitines and steroid hormone metabolites might be risk factor to development of irAEs, and levels of decenoylcarnitine (AcCa(10:1) 2, decenoylcarnitine (AcCa(10:1) 3 and hexanoylcarnitine (AcCa(6:0) could be used to predict OS for patients with lung cancer received ICIs treatment.

Background: Lung cancer is still the most lethal malignancy in the world, according to the report of Cancer Statistics in 2021. Platinum-based chemotherapy combined with immunotherapy is the first-line treatment in lung cancer patients. However, the 5-year survival rate is always affected by the adverse reactions and drug resistance caused by platinum-based chemotherapy. DNA damage and repair system is one of the important mechanisms that can affect the response to chemotherapy and clinical outcomes in lung cancer patients. Objective: The objective of this study is to find the relationship between the polymorphisms of DNA repair genes with the prognosis of platinum-based chemotherapy in lung cancer patients. Patients and Methods: We performed genotyping in 17 single nucleotide polymorphisms (SNPs) of Excision Repair Cross-Complementation group (ERCC) genes and X-ray Repair Cross-Complementing (XRCC) genes of 345 lung cancer patients via Sequenom MassARRAY. We used Cox proportional hazard models, state, and plink to analyze the associations between SNPs and the prognosis of lung cancer patients. Results: We found that the ERCC5 rs873601 was associated with the overall survival time in lung cancer patients treated with platinum-based chemotherapy (p = 0.031). There were some polymorphisms that were related to the prognosis in specific subgroups of lung cancer. Rs873601 showed a great influence on the prognosis of patients more than 55 years, Small Cell Lung Cancer (SCLC), and smoking patients. Rs2444933 was associated with prognosis in age less than 55 years, SCLC, metastasis, and stage III/IV/ED patients. Rs3740051 played an important role in the prognosis of SCLC and metastasis patients. Rs1869641 was involved in the prognosis of SCLC patients. Rs1051685 was related to the prognosis in non-metastasis patients. Conclusion: The ERCC5 rs873601 (G>A) was a valuable biomarker for predicting the prognosis in lung cancer patients treated with platinum-based chemotherapy.

Chemotherapy toxicity is a serious problem from which non-small cell lung cancer (NSCLC) patients suffer. The mismatch repair (MMR) system is associated with platinum-based chemotherapy toxicity in NSCLC patients. In this study, we aimed to investigate the relationship between genetic polymorphisms in the MMR pathway and platinum-based chemotherapy toxicity in NSCLC patients. A total of 220 Chinese lung cancer patients who received at least two cycles of platinum-based chemotherapy were recruited for this study. Toxicity was evaluated in each patient after two cycles of chemotherapy. A total of 44 single nucleotide polymorphisms were selected to investigate their associations with platinum-based chemotherapy toxicity. MutS homolog 2 (MSH2) rs6544991 [odds ratio (OR) 2.98, 95% confidence interval (CI) 1.20–7.40, P = 0.019] was associated with gastrointestinal toxicity in the dominant model; MSH3 rs6151627 (OR 2.38, 95% CI 1.23–4.60, P = 0.010), rs6151670 (OR 2.05, 95% CI 1.07–3.93, P = 0.031), and rs7709909 (OR 2.38, 95% CI 1.23–4.64, P = 0.010) were associated with hematologic toxicity in the dominant model. Additionally, MSH5 rs805304 was significantly associated with overall toxicity (OR 2.21, 95% CI 1.19–4.09, P = 0.012), and MSH5 rs707939 was significantly associated with both overall toxicity (OR 0.42, 95% CI 0.23–0.76, P = 0.004) and gastrointestinal toxicity (OR 0.44, 95% CI 0.20–0.96, P = 0.038) in the dominant model. Genetic polymorphisms in the MMR pathway are potential clinical markers for predicting chemotherapy toxicity in NSCLC patients.

Objective: Lung cancer is one of the most prevalent cancers and the leading cause of cancer-related death in the world. Platinum-based chemotherapy plays an important role in lung cancer treatment, but the therapeutic effect varies from person to person. Heat shock proteins (HSPs) have been reported to be associated with the survival time of lung cancer patients, which may be a potential biomarker in lung cancer treatment. The aim of this study was to investigate the association between genetic polymorphisms and the prognosis in lung cancer patients treated with platinum-based chemotherapy. Methods: We performed genotyping in 19 single nucleotide polymorphisms (SNPs) of HSP genes and Rho family genes of 346 lung cancer patients by SequenomMassARRAY. We used Cox proportional hazard models, state and plink to analyze the associations between SNPs and the prognosis of lung cancer patients. Results: We found that the polymorphisms of HSPB1 rs2070804 and HSPA4 rs3088225 were significantly associated with lung cancer survival (p=0.015, p=0.049*, respectively). We also discovered the statistically significant differences between rs2070804 with age, gender, histology and stage, rs3088225 with gender and stage, which can affect lung cancer prognosis. Conclusion: The results of our study suggest that HSPB1 rs2070804 (G>T) and HSPA4 rs3088225 (A>G) may be useful biomarkers for predicting the prognosis of lung cancer patients treated with platinum-based chemotherapy.

Purpose: To investigate the relationships between Wnt1 inducible signaling pathway protein 1 (WISP1) polymorphisms and the prognosis of platinum-based chemotherapy in lung cancer patients. Patients and Methods: A total of 363 lung cancer patients were recruited in this study. All of them received at least two cycles of platinum-based chemotherapy. We used unconditional logistic regression analysis to assess the associations of 39 single nucleotide polymorphisms in WISP1 gene with platinum-based chemotherapy prognosis. Results: The results indicated that patients carried rs2929973 GT or GG genotypes had increased risk of disease progression (HR = 0.712, 95% CI = 0.553– 0.916, P = 0.015). Patients with rs2977551 TT genotype had a significantly decreased risk of progression-free survival than patients carrying CT or CC genotype (HR = 0.723, 95% CI = 0.561– 0.932, P = 0.032) and overall survival (HR = 0.725, 95% CI = 0.552– 0.913, P = 0.045). For rs2977549, patients carrying TT genotype had a significantly longer progression-free survival than patients with CC or CT genotypes (HR = 0.708, 95% CI = 0.550– 0.912, P = 0.017). Among of them, rs16904853, rs10956697, rs2929965, rs2929973, rs7828685, rs2977551 and rs2977549 were related to progression-free survival, and rs10956697 and rs2977551 were related to overall survival in subgroup analyses, respectively. Conclusion: WISP1 rs2929973, rs2977551 and rs2977549 may be contributed to a potential candidate biomarker for prediction of platinum-based chemotherapy prognosis in lung cancer patients.