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Wu G, Gu M, Zhu J, Gu R, Yang B, Ji S, Zhao Y, Gu K. Prognostic prediction of oxidative stress related hematological biomarkers in locally advanced cervical cancer patients undergoing chemoradiotherapy. Biomarkers 2024:1-10. [PMID: 38767430 DOI: 10.1080/1354750x.2024.2358300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 05/11/2024] [Indexed: 05/22/2024]
Abstract
OBJECTIVE This investigation aimed to develop and validate a novel oxidative stress score for prognostic prediction in locally advanced cervical cancer (LACC) patients receiving chemoradiotherapy. METHODS A total of 301 LACC patients were enrolled and randomly divided into a training and a validation set. The association between oxidative stress parameters and prognosis was analyzed for oxidative stress score (OSS) establishment. A Cox regression model was conducted for overall survival (OS) and progression-free survival (PFS). A nomogram prediction model was developed using independent prognostic factors from the training set and validated in the validation set. RESULTS A novel OSS was established with four oxidative stress parameters, including albumin, total bilirubin, blood urea nitrogen, and lactate dehydrogenase. Multivariate regression analysis identified OSS as an independent prognostic factor for OS (p = 0.001) and PFS (p < 0.001). A predictive nomogram based on the OSS was established and validated. The C-indexes of the nomogram in the training set were 0.772 for OS and 0.781 for PFS, while in the validation set the C-indexes were 0.642 for OS and 0.621 for PFS. CONCLUSION This study confirmed that preoperative OSS could serve as a useful independent prognostic factor in LACC patients who received CCRT.
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Affiliation(s)
- Gang Wu
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, P.R. China
| | - Mengxuan Gu
- Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, P.R. China
| | - Jiahao Zhu
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, P.R. China
| | - Ruike Gu
- Department of Rehabilitation Medical, Suzhou Rehabilitation Hospital (Suzhou Municipal Hospital Rehabilitation Medical Center), Suzhou, Jiangsu, P.R. China
| | - Bo Yang
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, P.R. China
| | - Shengjun Ji
- Department of Radiotherapy and Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, P.R. China
| | - Yutian Zhao
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, P.R. China
| | - Ke Gu
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, P.R. China
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Fan C, Yang X, Yan L, Shi Z. Oxidative stress is two-sided in the treatment of acute myeloid leukemia. Cancer Med 2024; 13:e6806. [PMID: 38715546 PMCID: PMC11077289 DOI: 10.1002/cam4.6806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 11/14/2023] [Accepted: 11/27/2023] [Indexed: 05/12/2024] Open
Abstract
INTRODUCTION Oxidative stress caused by elevated ROS, as a novel therapeutic mechanism, has been implicated in various tumors including AML. AML cells are chronically under oxidative stress, yet overreliance on ROS production makes tumor cells increasingly vulnerable to further damage. Reducing the cytotoxic effect of ROS on normal cells while killing leukemia stem cell (LSC) with high levels of reactive oxygen species is a new challenge for oxidative stress therapy in leukemia. METHODS By searching literature databases, we summarized recent relevant studies. The relationship of ROS on AML genes, signaling pathways, and transcription factors, and the correlation of ROS with AML bone marrow microenvironment and autophagy were summarized. In addition, we summarize the current status of research on ROS and AML therapeutics. Finally, we discuss the research progress on redox resistance in AML. RESULTS This review discusses the evidence showing the link between redox reactions and the progression of AML and compiles the latest research findings that will facilitate future biological studies of redox effects associated with AML treatment. CONCLUSION We believe that exploiting this unique oxidative stress property of AML cells may provide a new way to prevent relapse and drug resistance.
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Affiliation(s)
- Chenyang Fan
- First Teaching Hospital of Tianjin University of Traditional Chinese MedicineTianjinChina
- National Clinical Research Center for Chinese Medicine Acupuncture and MoxibustionTianjinChina
| | - Xiangdong Yang
- First Teaching Hospital of Tianjin University of Traditional Chinese MedicineTianjinChina
- National Clinical Research Center for Chinese Medicine Acupuncture and MoxibustionTianjinChina
| | - Lixiang Yan
- First Teaching Hospital of Tianjin University of Traditional Chinese MedicineTianjinChina
- National Clinical Research Center for Chinese Medicine Acupuncture and MoxibustionTianjinChina
| | - Zhexin Shi
- First Teaching Hospital of Tianjin University of Traditional Chinese MedicineTianjinChina
- National Clinical Research Center for Chinese Medicine Acupuncture and MoxibustionTianjinChina
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Zhan W, Hu H, Hao B, Zhu H, Yan T, Zhang J, Wang S, Liu S, Zhang T. Development of machine learning-based malignant pericardial effusion-related model in breast cancer: Implications for clinical significance, tumor immune and drug-therapy. Heliyon 2024; 10:e27507. [PMID: 38463870 PMCID: PMC10923851 DOI: 10.1016/j.heliyon.2024.e27507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/30/2024] [Accepted: 02/29/2024] [Indexed: 03/12/2024] Open
Abstract
Background Malignant pericardial effusion (MPE) is a common complication of advanced breast cancer (BRCA) and plays an important role in BRCA. This study is aims to construct a prognostic model based on MPE-related genes for predicting the prognosis of breast cancer. Methods The BRCA samples are analyzed based on the expression of MPE-related genes by using an unsupervised cluster analysis method. This study processes the data by least absolute shrinkage and selection operator and multivariate Cox analysis, and uses machine learning algorithms to construct BRCA prognostic model and develop web tool. Results BRCA patients are classified into three clusters and a BRCA prognostic model is constructed containing 9 MPE-related genes. There are significant differences in signature pathways, immune infiltration, immunotherapy response and drug sensitivity testing between the high and low-risk groups. Of note, a web-based tool (http://wys.helyly.top/cox.html) is developed to predict overall survival as well as drug-therapy response of BRCA patients quickly and conveniently, which can provide a basis for clinicians to formulate individualized treatment plans. Conclusion The MPE-related prognostic model developed in this study can be used as an effective tool for predicting the prognosis of BRCA and provides new insights for the diagnosis and treatment of BRCA patients.
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Affiliation(s)
- Wendi Zhan
- School of Pharmacy, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, Hunan, 421001, China
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Haihong Hu
- School of Pharmacy, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, Hunan, 421001, China
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Bo Hao
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Hongxia Zhu
- School of Pharmacy, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, Hunan, 421001, China
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Ting Yan
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Jingdi Zhang
- School of Pharmacy, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, Hunan, 421001, China
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Siyu Wang
- Department of Medical Oncology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Saiyang Liu
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
| | - Taolan Zhang
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Phase I Clinical Trial Center, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
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Wang X, Zhang L. The systemic oxidative stress score has a prognostic value on gastric cancer patients undergoing surgery. Front Oncol 2024; 14:1307662. [PMID: 38525419 PMCID: PMC10957578 DOI: 10.3389/fonc.2024.1307662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 02/26/2024] [Indexed: 03/26/2024] Open
Abstract
Background Oxidative stress is strongly associated with the development, recurrence metastasis, and treatment of gastric cancer. It is yet unknown, though, how systemic oxidative stress levels relate to the surgically treated gastric cancer patients' clinical results. This research aims to investigate the prognostic effect of systemic oxidative stress score, also known as systematic oxidative stress score (SOS), on gastric cancer patients undergoing surgical treatment. Methods Development of the SOS Formula through Least Absolute Shrinkage and Selection Operator LASSO Cox Regression. By using optimal cut-off values, the 466 patients included in the study had been split into high SOS and low SOS groups. Utilizing Chi-square test and the Wilcoxon rank sum test, this research examined the relationship between SOS and clinical traits. With the aid of Kaplan-Meier and COX regression analysis, the prognosis of patients with gastric cancer was examined. Results SOS consisted of four oxidative stress-related laboratory indices. Univariate and multivariate COX regression analyses revealed that SOS, Age, CA724, Radical resection and TNM stage were crucial prognostic factors for OS, and the independent prognostic factors for PFS included Age, CA724, TNM stage and SOS. They could have their prognosis correctly predicted using a nomogram built around SOS and independent prognostic variables. Conclusion SOS is a practical and reasonably priced tool for determining a patient's prognosis for gastric cancer. More notably, SOS is an accurate prognostic factor for patients with advanced gastric cancer who has undergone radical surgery.
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Affiliation(s)
| | - Limin Zhang
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
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Hong X, Fu R. Construction of a 5-gene prognostic signature based on oxidative stress related genes for predicting prognosis in osteosarcoma. PLoS One 2023; 18:e0295364. [PMID: 38039294 PMCID: PMC10691720 DOI: 10.1371/journal.pone.0295364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 11/15/2023] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND The understanding of the complex biological scenario of osteosarcoma will open the way to identifying new strategies for its treatment. Oxidative stress is a cancer-related biological scenario. At present, it is not clear the oxidative stress genes in affecting the prognosis and progression of osteosarcoma, the underlying mechanism as well as their impact on the classification of osteosarcoma subtypes. METHODS We selected samples and sequencing data from TARGET data set and GSE21257 data set, and downloaded oxidative stress related-genes (OSRGs) from MsigDB. Univariate Cox analysis of OSRG was conducted using TARGET data, and the prognostic OSRG was screened to conduct unsupervised clustering analysis to identify the molecular subtypes of osteosarcoma. Through least absolute shrinkage and selection operator (LASSO) regression analysis and COX regression analysis of differentially expressed genes (DEGs) between subgroups, a risk assessment system for osteosarcoma was developed. RESULTS 45 prognosis-related OSRGs genes were acquired, and two molecular subtypes of osteosarcoma were clustered. C2 cluster displayed prolonged overall survival (OS) accompanied with high degree of immune infiltration and enriched immune pathways. While cell cycle related pathways were enriched in C2 cluster. Based on DEGs between subgroups and Lasso analysis, 5 hub genes (ZYX, GJA5, GAL, GRAMD1B, and CKMT2) were screened to establish a robust prognostic risk model independent of clinicopathological features. High-risk group had more patients with cancer metastasis and death as well as C1 subtype with poor prognosis. Low-risk group exhibited favorable OS and high immune infiltration status. Additionally, the risk assessment system was optimized by building decision tree and nomogram. CONCLUSIONS This study defined two molecular subtypes of osteosarcoma with different prognosis and tumor immune microenvironment status based on the expression of OSRGs, and provided a new risk assessment system for the prognosis of osteosarcoma.
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Affiliation(s)
- Xiaofang Hong
- Department of Stomatology, Zhongshan Hospital, Xiamen University, Xiamen, China
| | - Ribin Fu
- Department of Joint Surgery and Sports Medicine, Zhongshan Hospital, Xiamen University, Xiamen, China
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Zhang R, Zhao H, Wang P, Guo Z, Liu C, Qu Z. Hepatocellular carcinoma immune prognosis score predicts the clinical outcomes of hepatocellular carcinoma patients receiving immune checkpoint inhibitors. BMC Cancer 2023; 23:1181. [PMID: 38041022 PMCID: PMC10693152 DOI: 10.1186/s12885-023-11678-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 11/24/2023] [Indexed: 12/03/2023] Open
Abstract
OBJECTIVE The predictive biomarkers of immune checkpoint inhibitors (ICIs) in hepatocellular carcinoma (HCC) still need to be further explored. This study aims to establish a new immune prognosis biomarker to predict the clinical outcomes of hepatocellular carcinoma patients receiving immune checkpoint inhibitors. METHODS The subjects of this study were 151 HCC patients receiving ICIs at Harbin Medical University Cancer Hospital from January 2018 to December 2021. This study collected a wide range of blood parameters from patients before treatment and used Cox's regression analysis to identify independent prognostic factors in blood parameters, as well as their β coefficient. The hepatocellular carcinoma immune prognosis score (HCIPS) was established through Lasso regression analysis and COX multivariate analysis. The cut-off value of HCIPS was calculated from the receiver operating characteristic (ROC) curve. Finally, the prognostic value of HCIPS was validated through survival analysis, stratified analyses, and nomograms. RESULTS HCIPS was composed of albumin (ALB) and thrombin time (TT), with a cut-off value of 0.64. There were 56 patients with HCIPS < 0.64 and 95 patients with HCIPS ≥ 0.64, patients with low HCIPS were significantly related to shorter progression-free survival (PFS) (13.10 months vs. 1.63 months, P < 0.001) and overall survival (OS) (14.83 months vs. 25.43 months, P < 0.001). HCIPS has also been found to be an independent prognostic factor in this study. In addition, the stratified analysis found a significant correlation between low HCIPS and shorter OS in patients with tumor size ≥ 5 cm (P of interaction = 0.032). The C-index and 95% CI of the nomograms for PFS and OS were 0.730 (0.680-0.779) and 0.758 (0.711-0.804), respectively. CONCLUSIONS As a new score established based on HCC patients receiving ICIs, HCIPS was significantly correlated with clinical outcomes in patients with ICIs and might serve as a new biomarker to predict HCC patients who cloud benefit from ICIs.
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Affiliation(s)
- Rujia Zhang
- Department of Operating Room, The Second Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Haoran Zhao
- Department of Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Peng Wang
- Department of Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Zuoming Guo
- Department of Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Chunxun Liu
- Department of Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Zhaowei Qu
- Department of Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
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Liu J, Lai S, Wu P, Wang J, Wang J, Wang J, Zhang Y. Systematic oxidative stress indices predicts prognosis in patients with urothelial carcinoma of the upper urinary tract after radical nephroureterectomy. Eur J Med Res 2023; 28:469. [PMID: 37898799 PMCID: PMC10612206 DOI: 10.1186/s40001-023-01295-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 08/17/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND Oxidative stress plays an important role in the occurrence and development of malignancy. However, the relationship between oxidative stress and upper urinary tract urothelial carcinoma (UTUC) prognosis remains elusive. This study aimed to evaluate the prognostic value of systematic oxidative stress indices as a predictor of patient outcomes in UTUC after radical nephroureterectomy. METHODS Clinical data for 483 patients with UTUC who underwent radical nephroureterectomy were analyzed. Patients were categorized according to an optimal value of systematic oxidative stress indices (SOSIs), including fibrinogen (Fib), gamma-glutamyl transpeptidase (γ-GGT), creatinine (CRE), lactate dehydrogenase (LDH) and albumin (ALB). Kaplan-Meier analyses were used to investigate associations of SOSIs with overall survival (OS) and progression-free survival (PFS). Moreover, associations between SOSIs and OS and PFS were assessed with univariate and multivariate analyses. RESULTS High values of Fib, γ-GGT, CRE, and LDH, and low values of ALB were associated with reduced OS. SOSIs status correlated with age, tumor site, surgical approach, hydronephrosis, tumor size, T stage, and lymph node status. The Kaplan-Meier survival analysis showed a significant discriminatory ability for death and progression risks in the two groups based on SOSIs. Multivariate Cox proportional hazards models showed that SOSIs were an independent prognostic indicator for OS (p = 0.007) and PFS (p = 0.021). SOSIs and clinical variables were selected to establish a nomogram for OS. The 1-, 3-, and 5-year AUC values were 0.77, 0.78, and 0.81, respectively. Calibration curves of the nomogram showed high consistencies between the predicted and observed survival probability. Decision curve analysis curves showed that the nomogram could well predict the 1-year, 3-year, and 5-year OS. CONCLUSIONS SOSIs are an independent unfavorable predictor of OS and PFS in patients diagnosed with UTUC undergoing RNU. Therefore, incorporating SOSIs into currently available clinical parameters may improve clinical decision-making.
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Affiliation(s)
- Jianyong Liu
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
- Graduate School of Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Hospital Continence Center, Beijing, People's Republic of China
| | - Shicong Lai
- Department of Urology, Peking University People's Hospital, Beijing, 100044, People's Republic of China
| | - Pengjie Wu
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
- Graduate School of Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Hospital Continence Center, Beijing, People's Republic of China
| | - Jiawen Wang
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
- Graduate School of Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Beijing Hospital Continence Center, Beijing, People's Republic of China
| | - Jianye Wang
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
- Graduate School of Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
- Beijing Hospital Continence Center, Beijing, People's Republic of China.
| | - Jianlong Wang
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
- Graduate School of Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
- Beijing Hospital Continence Center, Beijing, People's Republic of China.
| | - Yaoguang Zhang
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
- Graduate School of Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
- Beijing Hospital Continence Center, Beijing, People's Republic of China.
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Ye Y, Luo Y, Guo T, Zhang C, Sun Y, Xu A, Ji L, Ou J, Wu SY. Leveraging senescence-oxidative stress co-relation to predict prognosis and drug sensitivity in breast invasive carcinoma. Front Endocrinol (Lausanne) 2023; 14:1179050. [PMID: 37600707 PMCID: PMC10437062 DOI: 10.3389/fendo.2023.1179050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 07/10/2023] [Indexed: 08/22/2023] Open
Abstract
Introduction Female breast cancer has risen to be the most common malignancy worldwide, causing a huge disease burden for both patients and society. Both senescence and oxidative stress attach importance to cancer development and progression. However, the prognostic roles of senescence and oxidative stress remain obscure in breast cancer. In this present study, we attempted to establish a predictive model based on senescence-oxidative stress co-relation genes (SOSCRGs) and evaluate its clinical utility in multiple dimensions. Methods SOSCRGs were identified via correlation analysis. Transcriptome data and clinical information of patients with breast invasive carcinoma (BRCA) were accessed from The Cancer Genome Atlas (TCGA) and GSE96058. SVM algorithm was employed to process subtype classification of patients with BRCA based on SOSCRGs. LASSO regression analysis was utilized to establish the predictive model based on SOSCRGs. Analyses of the predictive model with regards to efficacy evaluation, subgroup analysis, clinical association, immune infiltration, functional strength, mutation feature, and drug sensitivity were organized. Single-cell analysis was applied to decipher the expression pattern of key SOSCRGs in the tumor microenvironment. Additionally, qPCR was conducted to check the expression levels of key SOSCRGs in five different breast cancer cell lines. Results A total of 246 SOSCRGs were identified. Two breast cancer subtypes were determined based on SOSCRGs and subtype 1 showed an active immune landscape. A SOSCRGs-based predictive model was subsequently developed and the risk score was clarified as independent prognostic predictors in breast cancer. A novel nomogram was constructed and exhibited favorable predictive capability. We further ascertained that the infiltration levels of immune cells and expressions of immune checkpoints were significantly influenced by the risk score. The two risk groups were characterized by distinct functional strengths. Sugar metabolism and glycolysis were significantly upregulated in the high risk group. The low risk group was deciphered to harbor PIK3CA mutation-driven tumorigenesis, while TP53 mutation was dominant in the high risk group. The analysis further revealed a significantly positive correlation between risk score and TMB. Patients in the low risk group may also sensitively respond to several drug agents. Single-cell analysis dissected that ERRFI1, ETS1, NDRG1, and ZMAT3 were expressed in the tumor microenvironment. Moreover, the expression levels of the seven SOSCRGs in five different breast cancer cell lines were quantified and compared by qPCR respectively. Conclusion Multidimensional evaluations verified the clinical utility of the SOSCRGs-based predictive model to predict prognosis, aid clinical decision, and risk stratification for patients with breast cancer.
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Affiliation(s)
- Yinghui Ye
- Department of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China
| | - Yulou Luo
- Department of Breast Surgery, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, China
| | - Tong Guo
- Department of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China
| | - Chenguang Zhang
- Department of Breast Surgery, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, China
| | - Yutian Sun
- Department of Medical Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Anping Xu
- Department of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China
| | - Ling Ji
- Department of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China
| | - Jianghua Ou
- Department of Breast Surgery, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, China
| | - Shang Ying Wu
- Department of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China
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Deng G, Sun H, Huang R, Pan H, Zuo Y, Zhao R, Du Z, Xue Y, Song H. An oxidative stress biomarkers predict prognosis in gastric cancer patients receiving immune checkpoint inhibitor. Front Oncol 2023; 13:1173266. [PMID: 37546387 PMCID: PMC10400353 DOI: 10.3389/fonc.2023.1173266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 07/03/2023] [Indexed: 08/08/2023] Open
Abstract
Objective The development and advance of gastric cancer are inextricably linked to oxidative and antioxidant imbalance. Although immunotherapy has been shown to be clinically effective, the link between oxidative stress and gastric cancer patients treated with immune checkpoint inhibitor (ICIs) remains unknown. This study aims at looking into the prognostic value of oxidative stress scores in gastric cancer patients treated with ICIs. Methods By taking the propagation to receiver operating characteristic (ROC) we got the best cut-off values, and divided 265 patients receiving ICIs and chemotherapy into high and low GC-Integrated Oxidative Stress Score (GIOSS) groups. We also used Kaplan-Meier and COX regression models to investigate the relationship between oxidative stress biomarkers and prognosis. Results Through both univariate and multivariate analyses, it's shown that GIOSS severs as an independent prognostic factor for progression-free survival (PFS) and Overall survival (OS). Based on GIOSS cutoff values, patients with high GIOSS levels, compared to those with low levels exhibited shorter PFS and OS, both in the high GIOSS group, which performed poorly in the ICIs subgroup and other subgroup analyses. Conclusion GIOSS is a biomarker that responds to systemic oxidative stress in the body and can predict prognosis in patients with gastric cancer who are taking ICIs. Additionally, it might come to medical professionals' aid in making more effective or more suitable treatment plans for gastric cancer.
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Păsărică MA, Curcă PF, Burcea M, Schmitzer S, Dragosloveanu CDM, Grigorescu AC. The Effects of Oncological Treatment on Redox Balance in Patients with Uveal Melanoma. Diagnostics (Basel) 2023; 13:diagnostics13111907. [PMID: 37296758 DOI: 10.3390/diagnostics13111907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 05/25/2023] [Accepted: 05/27/2023] [Indexed: 06/12/2023] Open
Abstract
(1) Background: Uveal malignant melanoma is the most common adult eye cancer and presents metabolic reprogramming that affects the tumoral microenvironment by altering the redox balance and producing oncometabolites. (2) Methods: The study prospectively evaluated patients undergoing enucleation surgery or stereotactic radiotherapy for uveal melanoma by following systemic oxidative-stress redox markers serum lipid peroxides, total albumin groups and total antioxidant levels (3) Results: Serum antioxidants and lipid peroxides were elevated from pre-treatment to longer-term follow-up. Antioxidants inversely correlated to lipid peroxides: higher in stereotactic radiosurgery patients pre/6/12/18 months post-treatment (p = 0.001-0.049) versus higher lipid peroxides in enucleation surgery patients pre/after/6 months post-treatment (p = 0.004-0.010). An increased variance in serum antioxidants was observed for enucleation surgery patients (p < 0.001), however enucleation did not increase mean serum antioxidants or albumin thiols; only lipid peroxides were increased post-enucleation (p < 0.001) and at 6-month follow-up (p = 0.029). Mean albumin thiols were increased for 18- and 24-month follow-ups (p = 0.017-0.022). Males who had enucleation surgery presented higher variance in serum determinations and overall higher lipid peroxides values pre/post-treatment and at the 18-month follow-up. (4) Conclusions: Initial oxidative stress-inducing events of surgical enucleation or stereotactic radiotherapy for uveal melanoma are followed by a longer-term inflammatory cascade gradually subsiding at later follow-ups.
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Affiliation(s)
- Mihai Adrian Păsărică
- Clinical Department of Ophthalmology, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Ophthalmology, Clinical Hospital for Ophthalmological Emergencies, 010464 Bucharest, Romania
| | - Paul Filip Curcă
- Clinical Department of Ophthalmology, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Ophthalmology, Clinical Hospital for Ophthalmological Emergencies, 010464 Bucharest, Romania
| | - Marian Burcea
- Clinical Department of Ophthalmology, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Ophthalmology, Clinical Hospital for Ophthalmological Emergencies, 010464 Bucharest, Romania
| | - Speranța Schmitzer
- Clinical Department of Ophthalmology, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Ophthalmology, Clinical Hospital for Ophthalmological Emergencies, 010464 Bucharest, Romania
| | - Christiana Diana Maria Dragosloveanu
- Clinical Department of Ophthalmology, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Ophthalmology, Clinical Hospital for Ophthalmological Emergencies, 010464 Bucharest, Romania
| | - Alexandru Călin Grigorescu
- Department of Oncology, Institute of Oncology Prof. Dr. Alexandru Trestioreanu, 022328 Bucharest, Romania
- Department of Oncology, Clinical Hospital of Nephrology Dr. Carol Davila, 010731 Bucharest, Romania
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A Novel Systematic Oxidative Stress Score Predicts the Survival of Patients with Early-Stage Lung Adenocarcinoma. Cancers (Basel) 2023; 15:cancers15061718. [PMID: 36980604 PMCID: PMC10099732 DOI: 10.3390/cancers15061718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/02/2023] [Accepted: 03/09/2023] [Indexed: 03/14/2023] Open
Abstract
This study aimed to construct an effective nomogram based on the clinical and oxidative stress-related characteristics to predict the prognosis of stage I lung adenocarcinoma (LUAD). A retrospective study was performed on 955 eligible patients with stage I LUAD after surgery at our hospital. The relationship between systematic-oxidative-stress biomarkers and the prognosis was analyzed. The systematic oxidative stress score (SOS) was established based on three biochemical indicators, including serum creatinine (CRE), lactate dehydrogenase (LDH), and uric acid (UA). SOS was an independent prognostic factor for stage I LUADs, and the nomogram based on SOS and clinical characteristics could accurately predict the prognosis of these patients. The nomogram had a high concordance index (C-index) (0.684, 95% CI, 0.656–0.712), and the calibration curves for recurrence-free survival (RFS) probabilities showed a strong agreement between the nomogram prediction and actual observation. Additionally, the patients were divided into two groups according to the cut-off value of risk points based on the nomogram, and a significant difference in RFS was observed between the high-risk and low-risk groups (p < 0.0001). SOS is an independent prognostic indicator for stage I LUAD. These things considered, the constructed nomogram based on SOS could accurately predict the survival of those patients.
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Systematic Oxidative Stress Indexes Associated with the Prognosis in Patients with T Lymphoblastic Lymphoma/Leukemia. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:2679154. [PMID: 35965687 PMCID: PMC9371838 DOI: 10.1155/2022/2679154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 07/23/2022] [Indexed: 11/22/2022]
Abstract
Background T lymphoblastic lymphoma/leukemia (T-LBL/ALL) is an aggressive malignant tumor with 5-year overall survival (OS) rate reached 80% after high-dose chemotherapy. Due to the relatively low incidence of T-LBL/ALL, only a few risk factors have been identified. The occurrence and prognosis of malignant tumors are closely related to oxidative stress, but the prognostic relationship between T-LBL/ALL and systematic oxidative stress indexes has not been reported yet. Methods A total of 258 T-LBL/ALL patients were retrospectively analyzed. The relationship between systematic oxidative stress indexes, such as creatinine (CRE), gamma-glutamyl transpeptidase (γ-GGT), albumin (ALB), alkaline phosphatase (ALP), fibrinogen (FBG), C-reactive protein (CRP) and total bilirubin (TBIL), and survival of T-LBL/ALL patients, was analyzed. The weight of indexes was used to calculate the patients' oxidative stress risk score. The independent prognostic value of oxidative stress risk grouping (OSRG) was analyzed. Results Higher CRE, CRP, and lower ALB were associated with poorer OS in T-LBL/ALL patients. The OSRG established by CRE, ALB, and CRP was an independent prognostic factor for OS of T-LBL/ALL patients. Patients in the high-risk group were more likely to be patients older than 14 years old and patients with superior vena cava obstruction syndrome (SVCS), pleural effusion, pericardial effusion, and mediastinal mass. Conclusion For OS in T-LBL/ALL patients, OSRG was observed as an independent prognostic factor, which provided a new idea for accurate prognostic prediction.
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Early Prediction for Prediabetes and Type 2 Diabetes Using the Genetic Risk Score and Oxidative Stress Score. Antioxidants (Basel) 2022; 11:antiox11061196. [PMID: 35740093 PMCID: PMC9231325 DOI: 10.3390/antiox11061196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/14/2022] [Accepted: 06/15/2022] [Indexed: 11/17/2022] Open
Abstract
We aimed to use a genetic risk score (GRS) constructed with prediabetes and type 2 diabetes-related single nucleotide polymorphisms (SNPs) and an oxidative stress score (OSS) to construct an early-prediction model for prediabetes and type 2 diabetes (T2DM) incidence in a Korean population. The study population included 549 prediabetes and T2DM patients and 1036 normal subjects. The GRS was constructed using six prediabetes and T2DM-related SNPs, and the OSS was composed of three recognized oxidative stress biomarkers. Among the nine SNPs, six showed significant associations with the incidence of prediabetes and T2DM. The GRS was profoundly associated with increased prediabetes and T2DM (OR = 1.946) compared with individual SNPs after adjusting for age, sex, and BMI. Each of the three oxidative stress biomarkers was markedly higher in the prediabetes and T2DM group than in the normal group, and the OSS was significantly associated with increased prediabetes and T2DM (OR = 2.270). When BMI was introduced to the model with the OSS and GRS, the area under the ROC curve improved (from 69.3% to 70.5%). We found that the prediction model composed of the OSS, GRS, and BMI showed a significant prediction ability for the incidence of prediabetes and T2DM.
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